Author: "Winslow A" / Topic: medicine - Searchworks@Jio Institute Digital Library Search Results

2,092 results on '"Winslow A"'

1. Quantitative microbiome profiling of honey bee (Apis mellifera) guts is predictive of winter colony loss in northern Virginia (USA)

Author: David B. Carlini, Sundre K. Winslow, Katja Cloppenborg-Schmidt, and John F. Baines
Subjects: Medicine, Science
Abstract: Abstract For the past 15 years, the proportion of honey bee hives that fail to survive winter has averaged ~ 30% in the United States. Winter hive loss has significant negative impacts on agriculture, the economy, and ecosystems. Compared to other factors, the role of honey bee gut microbial communities in driving winter hive loss has received little attention. We investigate the relationship between winter survival and honey bee gut microbiome composition of 168 honey bees from 23 hives, nine of which failed to survive through winter 2022. We found that there was a substantial difference in the abundance and community composition of honey bee gut microbiomes based on hive condition, i.e., winter survival or failure. The overall microbial abundance, as assessed using Quantitative Microbiome Profiling (QMP), was significantly greater in hives that survived winter 2022 than in those that failed, and the average overall abundance of each of ten bacterial genera was also greater in surviving hives. There were no significant differences in alpha diversity based on hive condition, but there was a highly significant difference in beta diversity. The bacterial genera Commensalibacter and Snodgrassella were positively associated with winter hive survival. Logistic regression and random forest machine learning models on pooled ASV counts for the genus data were highly predictive of winter outcome, although model performance decreased when samples from the location with no hive failures were excluded from analysis. As a whole, our results show that the abundance and community composition of honey bee gut microbiota is associated with winter hive loss, and can potentially be used as a diagnostic tool in evaluating hive health prior to the onset of winter. Future work on the functional characterization of the honey bee gut microbiome’s role in winter survival is warranted.
Published: 2024
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2. Corals survive severe bleaching event in refuges related to taxa, colony size, and water depth

Author: Erin M. Winslow, Kelly E. Speare, Thomas C. Adam, Deron E. Burkepile, James L. Hench, and Hunter S. Lenihan
Subjects: Coral bleaching, Thermal stress, Depth, Colony size, Acropora, Pocillopora, Medicine, Science
Abstract: Abstract Marine heatwaves are increasing in frequency and duration, threatening tropical reef ecosystems through intensified coral bleaching events. We examined a strikingly variable spatial pattern of bleaching in Moorea, French Polynesia following a heatwave that lasted from November 2018 to July 2019. In July 2019, four months after the onset of bleaching, we surveyed > 5000 individual colonies of the two dominant coral genera, Pocillopora and Acropora, at 10 m and 17 m water depths, at six forereef sites around the island where temperature was measured. We found severe bleaching increased with colony size for both coral genera, but Acropora bleached more severely than Pocillopora overall. Acropora bleached more at 10 m than 17 m, likely due to higher light availability at 10 m compared to 17 m, or greater daily temperature fluctuation at depth. Bleaching in Pocillopora corals did not differ with depth but instead varied with the interaction of colony size and Accumulated Heat Stress (AHS), in that larger colonies (> 30 cm) were more sensitive to AHS than mid-size (10–29 cm) or small colonies (5–9 cm). Our findings provide insight into complex interactions among coral taxa, colony size, and water depth that produce high spatial variation in bleaching and related coral mortality.
Published: 2024
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3. Illicit drug consumption in Singapore: Where are we in the fight against drugs?

Author: David Choon Liang Teo, Sanjiv Nair Sasidharan, and Rasaiah Munidasa Winslow
Subjects: Medicine
Abstract: Illicit drug consumption is associated with significant negative health, financial and social consequences. Yet, illicit drug consumption remains highly prevalent and continues to be a growing problem worldwide. In 2021, 1 in 17 people aged 15–64 in the world had used a drug in the past 12 months. Notwithstanding population growth, the estimated number of drug users grew from 240 million in 2011 to 296 million in 2021.
Published: 2024
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4. Exercise and inflammatory cytokine regulation among older adults with myeloid malignancies

Author: Kah Poh Loh, Ying Wang, Chandrika Sanapala, Nikesha Gilmore, Colleen Netherby-Winslow, Jason H. Mendler, Jane Liesveld, Eric Huselton, AnnaLynn M. Williams, Heidi D. Klepin, Marielle Jensen-Battaglia, Karen Mustian, Paula Vertino, Martha Susiarjo, and Michelle C. Janelsins
Subjects: Myeloid malignancies, Mobile health, Exercise, Inflammation, DNA methylation, Cytokines, Medicine, Biology (General), QH301-705.5
Abstract: Tumor necrosis factor (TNF)α is a major regulator of inflammation. However, the epigenetic regulation of TNFα in the context of an exercise intervention among older adults with cancer is understudied. In this exploratory analysis, we used data from a single-arm mobile health (mHealth) exercise intervention among older adults with myeloid malignancies to 1) assess changes in TNFα promoter methylation, TNFα mRNA expression, serum TNFα and other related-cytokine levels after intervention; and 2) assess correlations between blood markers and exercise levels. Twenty patients were included. From baseline to post-intervention, there was no statistical changes in TNFα promoter methylation status at seven CpG sites, TNFα mRNA expression, and serum TNFα levels. Effect sizes, however, were moderate to large for several CpG sites (−120, −147, −162, and −164; Cohen's d = 0.44–0.75). Median serum TNFα sR1 levels increased (83.63, IQR 130.58, p = 0.06; Cohen's d = 0.18) but not the other cytokines. Increases in average daily steps were correlated with increases in TNFα promoter methylation at CpG sites −147 (r = 0.48; p = 0.06) and −164 (r = 0.51; p = 0.04). Resistance training minutes were negatively correlated with TNFα promoter methylation at CpG site −120 (r = −0.62; p = 0.02). All effect sizes were moderate to large. In conclusion, after a mHealth exercise intervention, we demonstrated changes with moderate to large effect sizes in several CpG sites in the TNFα promoter region. Exercise levels were correlated with increases in TNFα promoter methylation. Larger exercise trials are needed to better evaluate TNFα regulation to inform interventions to augment TNFα regulation in order to improve outcomes in older adults with cancer.
Published: 2024
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5. Predicting salivary cortisol and sexual behavior stigma among MSM in the American Men’s Internet Survey 2019

Author: Kate E. Dibble, Sarah M. Murray, Stefan D. Baral, Maria Zlotorzynska, John Mark Wiginton, Rob Stephenson, O. Winslow Edwards, Carrie Lyons, Jacob C. Rainey, Qian-Li Xue, and Travis H. Sanchez
Subjects: Medicine, Science
Abstract: Abstract Physiological stress levels in response to sexual behavior stigma among men who have sex with men (MSM) in the United States (US) are understudied. The current study aims to explore the relationship between sexual behavior stigma and salivary cortisol both overall and stratified by race/ethnicity. If such an association exists, it may suggest that sexual behavior stigma can be physiologically measured or indicated by the presence of heightened salivary cortisol. A subsample of 667 MSM participants from the 2019 American Men’s Internet Survey (AMIS; N = 10,129) submitted morning (AM) and evening (PM) saliva cortisol samples using at-home mail-in collection kits. Average daily cortisol and daily cortisol change were calculated; simple linear regressions estimated associations between cortisol measures and sexual behavior stigma characterized in four different ways (ever and recent experience of individual stigma items; average ever and recent experience of three stigma scales: stigma from family and friends, anticipated healthcare stigma, general social stigma). Participants reported a mean age of 36.0 years (SD = 14.9), with most being non-Hispanic white (n = 480, 72.0%), Hispanic (n = 164, 12.3%), or Black/African American (n = 146, 10.9%), and identified as homosexual/gay (n = 562, 84.3%). Reporting ever experiencing healthcare providers gossiping was significantly associated with higher PM cortisol (β = 0.12, p = 0.001) and higher average daily cortisol (β = 0.11, p = 0.004), while reporting ever experiencing police refusing to protect was associated with higher AM cortisol (β = 0.08, p = 0.03) and higher average daily cortisol (β = 0.09, p = 0.02). Recent experiences of stigma were not significant predictors of any measure of cortisol. Measures of salivary cortisol may be used to characterize sexual behavior stigma among MSM populations, however more insight is needed to determine its exact relationship and strength.
Published: 2023
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6. Angioarchitectural alterations in the retina and choroid in frontotemporal dementia.

Author: Ariana Allen, Cason B Robbins, Suzanna Joseph, Angela Hemesat, Anita Kundu, Justin P Ma, Alice Haystead, Lauren Winslow, Rupesh Agrawal, Kim G Johnson, Andrea C Bozoki, Sandra S Stinnett, Dilraj S Grewal, and Sharon Fekrat
Subjects: Medicine, Science
Abstract: ObjectiveFrontotemporal dementia (FTD) is a progressive neurodegenerative disorder that affects the frontal and temporal lobes of the brain, leading to cognitive decline and personality changes. The objective of this cross-sectional study was to characterize angioarchitectural changes in the retina and choroid of individuals with FTD compared to cognitively normal controls using optical coherence tomography (OCT) and OCT angiography (OCTA).MethodsCross-sectional comparison of patients with FTD and controls with normal cognition. All participants underwent Mini-Mental State Examination (MMSE) at the time of imaging. Outcome measures included OCT parameters: retinal nerve fiber layer (RNFL) thickness, ganglion cell layer-inner plexiform layer (GC-IPL) thickness, central subfield thickness (CST), subfoveal choroidal thickness (SFCT), choroidal vascularity index (CVI); and OCTA superficial capillary plexus parameters: foveal avascular zone (FAZ) area, 3x3mm and 6x6mm macular perfusion density (PD) and vessel density (VD), 4.5x4.5mm peripapillary capillary perfusion density (CPD) and capillary flux index (CFI). Generalized estimating equation analysis was used to account for the inclusion of 2 eyes from the same participant.Results29 eyes of 19 patients with FTD and 85 eyes of 48 controls were analyzed. In FTD, 3x3mm macular PD (p = 0.02) and VD (p = 0.02) and CFI (p = 0.01) were reduced compared to controls. There was no difference in average 4.5x4.5mm CPD, RNFL thickness, GC-IPL thickness, CST, SFCT, CVI, FAZ, or 6x6mm VD or PD between FTD and controls (all p > 0.05); however, there was a trend toward lower macular 6x6mm PD and VD in patients with FTD.ConclusionDecline of peripapillary and macular OCT and OCTA parameters merit further investigation as potential biomarkers for FTD detection. Noninvasive retinal and choroidal imaging may hold promise for earlier detection, and future longitudinal studies will clarify their role in monitoring of FTD.
Published: 2024
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7. Exercise and epigenetic ages in older adults with myeloid malignancies

Author: Kah Poh Loh, Chandrika Sanapala, Marielle Jensen-Battaglia, Anish Rana, Michael B. Sohn, Erin Watson, Nikesha Gilmore, Heidi D. Klepin, Jason H. Mendler, Jane Liesveld, Eric Huselton, Marissa LoCastro, Martha Susiarjo, Colleen Netherby-Winslow, AnnaLynn M. Williams, Karen Mustian, Paula Vertino, and Michelle C. Janelsins
Subjects: DNA methylation, Epigenetic clock, Mobile health, Exercise intervention, Geriatric hematology, Myeloid malignancies, Medicine
Abstract: Abstract Background Older adults with myeloid malignancies are susceptible to treatment-related toxicities. Accelerated DNAm age, or the difference between DNA methylation (DNAm) age and chronological age, may be used as a biomarker of biological age to predict individuals at risk. In addition, cancer treatment can also lead to accelerated DNAm age. Exercise is a promising intervention to reduce or prevent functional, psychological, and cognitive impairments in older patients with myeloid malignancies, yet there is little evidence of the effects of exercise on DNAm age. We explored (1) the associations of accelerated DNAm age with physical, psychological, and cognitive functions at baseline; (2) changes in DNAm age from baseline to post-intervention; and (3) the associations of changes in accelerated DNAm age with changes in functions from baseline to post-intervention. Methods We enrolled older patients with myeloid malignancies to a single-arm pilot study testing a mobile health (mHealth) exercise intervention that combines an exercise program (EXCAP©®) with a mobile application over 2 cycles of chemotherapy (8–12 weeks). Patients completed measures of physical, psychological, and cognitive functions and provided blood samples for analyses of DNAm age at baseline and post-intervention. Paired t-tests or Wilcoxon signed rank tests assessed changes in DNAm ages, and Spearman’s correlation assessed the relationships between accelerated ages and functions. Results We included 20 patients (mean age: 72 years, range 62–80). Accelerated GrimAge, accelerated PhenoAge, and DunedinPACE were stable from baseline to post-intervention. At baseline, DunedinPACE was correlated with worse grip strength (r = -0.41, p = 0.08). From baseline to post-intervention, decreases in accelerated GrimAge (r = -0.50, p = 0.02), accelerated PhenoAge (r = − 0.39, p = 0.09), and DunedinPace (r = − 0.43, p = 0.06) were correlated with increases in distance walked on 6-min walk test. Decreases in accelerated GrimAge (r = − 0.49, p = 0.03), accelerated PhenoAge (r = − 0.40, p = 0.08), and DunedinPace (r = − 0.41, p = 0.07) were correlated with increases in in grip strength. Conclusions Among older adults with myeloid malignancies receiving chemotherapy, GrimAge and PhenoAge on average are stable after a mHealth exercise intervention. Decreases in accelerated GrimAge, accelerated PhenoAge, and DunedinPACE over 8–12 weeks of exercise were correlated with increased physical performance. Future trials assessing the effects of exercise on treatment-related toxicities should evaluate DNAm age. Trial registration Clinicaltrials.gov identifier: NCT04981821.
Published: 2023
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8. Location-based collective distress using large-scale biosignals in real life for walkable built environments

Author: Jinwoo Kim, Ehsanul Haque Nirjhar, Hanwool Lee, Theodora Chaspari, Chanam Lee, Youngjib Ham, Jane Futrell Winslow, and Changbum R. Ahn
Subjects: Medicine, Science
Abstract: Abstract Biosignals from wearable sensors have shown great potential for capturing environmental distress that pedestrians experience from negative stimuli (e.g., abandoned houses, poorly maintained sidewalks, graffiti, and so forth). This physiological monitoring approach in an ambulatory setting can mitigate the subjectivity and reliability concerns of traditional self-reported surveys and field audits. However, to date, most prior work has been conducted in a controlled setting and there has been little investigation into utilizing biosignals captured in real-life settings. This research examines the usability of biosignals (electrodermal activity, gait patterns, and heart rate) acquired from real-life settings to capture the environmental distress experienced by pedestrians. We collected and analyzed geocoded biosignals and self-reported stimuli information in real-life settings. Data was analyzed using spatial methods with statistical and machine learning models. Results show that the machine learning algorithm predicted location-based collective distress of pedestrians with 80% accuracy, showing statistical associations between biosignals and the self-reported stimuli. This method is expected to advance our ability to sense and react to not only built environmental issues but also urban dynamics and emergent events, which together will open valuable new opportunities to integrate human biological and physiological data streams into future built environments and/or walkability assessment applications.
Published: 2023
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9. Insights for crystal mush storage utilizing mafic enclaves from the 2011–12 Cordón Caulle eruption

Author: Heather Winslow, Philipp Ruprecht, Helge M. Gonnermann, Patrick R. Phelps, Carolina Muñoz-Saez, Francisco Delgado, Matthew Pritchard, and Alvaro Amigo
Subjects: Medicine, Science
Abstract: Abstract Two distinct types of rare crystal-rich mafic enclaves have been identified in the rhyolite lava flow from the 2011–12 Cordón Caulle eruption (Southern Andean Volcanic Zone, SVZ). The majority of mafic enclaves are coarsely crystalline with interlocking olivine-clinopyroxene-plagioclase textures and irregular shaped vesicles filling the crystal framework. These enclaves are interpreted as pieces of crystal-rich magma mush underlying a crystal-poor rhyolitic magma body that has fed recent silicic eruptions at Cordón Caulle. A second type of porphyritic enclaves, with restricted mineral chemistry and spherical vesicles, represents small-volume injections into the rhyolite magma. Both types of enclaves are basaltic end-members (up to 9.3 wt% MgO and 50–53 wt% SiO2) in comparison to enclaves erupted globally. The Cordón Caulle enclaves also have one of the largest compositional gaps on record between the basaltic enclaves and the rhyolite host at 17 wt% SiO2. Interstitial melt in the coarsely-crystalline enclaves is compositionally identical to their rhyolitic host, suggesting that the crystal-poor rhyolite magma was derived directly from the underlying basaltic magma mush through efficient melt extraction. We suggest the 2011–12 rhyolitic eruption was generated from a primitive basaltic crystal-rich mush that short-circuited the typical full range of magmatic differentiation in a single step.
Published: 2022
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10. Chronic viral coinfections differentially affect the likelihood of developing long COVID

Author: Michael J. Peluso, Tyler-Marie Deveau, Sadie E. Munter, Dylan Ryder, Amanda Buck, Gabriele Beck-Engeser, Fay Chan, Scott Lu, Sarah A. Goldberg, Rebecca Hoh, Viva Tai, Leonel Torres, Nikita S. Iyer, Monika Deswal, Lynn H. Ngo, Melissa Buitrago, Antonio Rodriguez, Jessica Y. Chen, Brandon C. Yee, Ahmed Chenna, John W. Winslow, Christos J. Petropoulos, Amelia N. Deitchman, Joanna Hellmuth, Matthew A. Spinelli, Matthew S. Durstenfeld, Priscilla Y. Hsue, J. Daniel Kelly, Jeffrey N. Martin, Steven G. Deeks, Peter W. Hunt, and Timothy J. Henrich
Subjects: COVID-19, Medicine
Abstract: BACKGROUND The presence and reactivation of chronic viral infections, such as EBV, CMV, and HIV, have been proposed as potential contributors to long COVID (LC), but studies in well-characterized postacute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited.METHODS In a cohort of 280 adults with prior SARS-CoV-2 infection, we assessed the presence and types of LC symptoms and prior medical history (including COVID-19 history and HIV status) and performed serological testing for EBV and CMV using a commercial laboratory. We used covariate-adjusted binary logistic regression models to identify independent associations between variables and LC symptoms.RESULTS We observed that LC symptoms, such as fatigue and neurocognitive dysfunction, at a median of 4 months following initial diagnosis were independently associated with serological evidence suggesting recent EBV reactivation (early antigen–diffuse IgG positivity) or high nuclear antigen (EBNA) IgG levels but not with ongoing EBV viremia. Serological evidence suggesting recent EBV reactivation (early antigen–diffuse IgG positivity) was most strongly associated with fatigue (OR = 2.12). Underlying HIV infection was also independently associated with neurocognitive LC (OR = 2.5). Interestingly, participants who had serologic evidence of prior CMV infection were less likely to develop neurocognitive LC (OR = 0.52).CONCLUSION Overall, these findings suggest differential effects of chronic viral coinfections on the likelihood of developing LC and association with distinct syndromic patterns. Further assessment during the acute phase of COVID-19 is warranted.TRIAL REGISTRATION Long-term Impact of Infection with Novel Coronavirus; ClinicalTrials.gov NCT04362150.FUNDING This work was supported by NIH/National Institute of Allergy and Infectious Diseases grants (3R01AI141003-03S1, R01AI158013, and K24AI145806); the Zuckerberg San Francisco General Hospital Department of Medicine and Division of HIV, Infectious Diseases, and Global Medicine; and the UCSF-Bay Area Center for AIDS Research (P30-AI027763).
Published: 2023
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11. A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients.

Author: Sanjukta N Bose, Andrew Defante, Joseph L Greenstein, Gabriel G Haddad, Julie Ryu, and Raimond L Winslow
Subjects: Medicine, Science
Abstract: RationaleAcute respiratory failure is a life-threatening clinical outcome in critically ill pediatric patients. In severe cases, patients can require mechanical ventilation (MV) for survival. Early recognition of these patients can potentially help clinicians alter the clinical course and lead to improved outcomes.ObjectivesTo build a data-driven model for early prediction of the need for mechanical ventilation in pediatric intensive care unit (PICU) patients.MethodsThe study consists of a single-center retrospective observational study on a cohort of 13,651 PICU patients admitted between 1/01/2010 and 5/15/2018 with a prevalence of 8.06% for MV due to respiratory failure. XGBoost (extreme gradient boosting) and a convolutional neural network (CNN) using medication history were used to develop a prediction model that could yield a time-varying "risk-score"-a continuous probability of whether a patient will receive MV-and an ideal global threshold was calculated from the receiver operating characteristics (ROC) curve. The early prediction point (EPP) was the first time the risk-score surpassed the optimal threshold, and the interval between the EPP and the start of the MV was the early warning period (EWT). Spectral clustering identified patient groups based on risk-score trajectories after EPP.ResultsA clinical and medication history-based model achieved a 0.89 area under the ROC curve (AUROC), 0.6 sensitivity, 0.95 specificity, 0.55 positive predictive value (PPV), and 0.95 negative predictive value (NPV). Early warning time (EWT) median [inter-quartile range] of this model was 9.9[4.2-69.2] hours. Clustering risk-score trajectories within a six-hour window after the early prediction point (EPP) established three patient groups, with the highest risk group's PPV being 0.92.ConclusionsThis study uses a unique method to extract and apply medication history information, such as time-varying variables, to identify patients who may need mechanical ventilation for respiratory failure and provide an early warning period to avert it.
Published: 2023
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12. P667: Predicting variant classification by modeling the effects of functional and case study data in RUNX1 variants of uncertain significance

Author: Mancy Shah, Winslow Johnson, Lucy Godley, and David Wu
Subjects: Genetics, QH426-470, Medicine
Published: 2023
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13. Our pride, our joy: An intersectional constructivist grounded theory analysis of resources that promote resilience in SGM communities.

Author: O Winslow Edwards, Eliot Lev, Juno Obedin-Maliver, Mitchell R Lunn, Micah E Lubensky, Matthew R Capriotti, J J Garrett-Walker, and Annesa Flentje
Subjects: Medicine, Science
Abstract: IntroductionSexual and gender minority (SGM) communities, including lesbian, gay, bisexual, transgender, queer, intersex, asexual, and Two-Spirit people, have historically been researched from a deficits-based approach that fails to highlight the ways communities survive and thrive in the face of adversity. This study endeavored to create a model of resources that promote SGM resilience using a sample that amplified traditionally underrepresented perspectives, including individuals from racial and/or ethnic minority groups, trans and/or gender diverse individuals, individuals on the asexual spectrum, and older adults.MethodsParticipant responses to three open-ended questions from The PRIDE Study's (an online national longitudinal cohort study of SGM people) 2018 Annual Questionnaire were analyzed using constructivist grounded theory. These questions examined what brings people joy and what they appreciate most about their SGM identity. Participants (n = 315) were randomly selected from a larger sample of people who had responded to demographic questions and at least one open-ended question (N = 4,030) in a manner to ensure diverse representation across race/ethnicity, gender identity, sexual orientation, age, and region of residence.ResultsThe proposed model includes social resources (Connecting with Others, Cultivating Family, Helping Others, Participating in Culture and Spirituality), affective generative resources (Engaging in Enriching Pursuits, Accessing Economic Resources), and introspective resources (Exploring One's Authentic Self, Persevering through Hardship) that are theorized to contribute to SGM resilience across the life course.ConclusionsSGM communities may tap into various resources to promote resilience. As public health practitioners, we can help to foster this resilience by resourcing and supporting initiatives that foster social connection, create spaces for community members to engage with various types of enrichment, facilitate access to economic resources, and provide support and inclusion for all SGM community members.
Published: 2023
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14. Editorial: Methods and applications in computational physiology and medicine

Author: A. H. Khandoker, P. Castiglioni, J. L. Greenstein, J. Zhao, F. S. Schlindwein, M. Elgendi, R. L. Winslow, and Z. R. Struzik
Subjects: in silico, physiology, computational, medicine, modelling, multidisciplinary, Physiology, QP1-981
Published: 2022
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15. Markers of fungal translocation are elevated during post-acute sequelae of SARS-CoV-2 and induce NF-κB signaling

Author: Leila B. Giron, Michael J. Peluso, Jianyi Ding, Grace Kenny, Netanel F. Zilberstein, Jane Koshy, Kai Ying Hong, Heather Rasmussen, Gregory E. Miller, Faraz Bishehsari, Robert A. Balk, James N. Moy, Rebecca Hoh, Scott Lu, Aaron R. Goldman, Hsin-Yao Tang, Brandon C. Yee, Ahmed Chenna, John W. Winslow, Christos J. Petropoulos, J. Daniel Kelly, Haimanot Wasse, Jeffrey N. Martin, Qin Liu, Ali Keshavarzian, Alan Landay, Steven G. Deeks, Timothy J. Henrich, and Mohamed Abdel-Mohsen
Subjects: Medicine
Published: 2022
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16. Automated stress detection using mobile application and wearable sensors improves symptoms of mental health disorders in military personnel

Author: Brent D. Winslow, Rebecca Kwasinski, Jeffrey Hullfish, Mitchell Ruble, Adam Lynch, Timothy Rogers, Debra Nofziger, William Brim, and Craig Woodworth
Subjects: stress, telemedicine, mental health, cognitive behavioral therapy (CBT), wearable technology, mobile applications, Medicine, Public aspects of medicine, RA1-1270, Electronic computers. Computer science, QA75.5-76.95
Abstract: Leading causes in global health-related burden include stress, depression, anger, fatigue, insomnia, substance abuse, and increased suicidality. While all individuals are at risk, certain career fields such as military service are at an elevated risk. Cognitive behavioral therapy (CBT) is highly effective at treating mental health disorders but suffers from low compliance and high dropout rates in military environments. The current study conducted a randomized controlled trial with military personnel to assess outcomes for an asymptomatic group (n = 10) not receiving mental health treatment, a symptomatic group (n = 10) using a mHealth application capable of monitoring physiological stress via a commercial wearable alerting users to the presence of stress, guiding them through stress reduction techniques, and communicating information to providers, and a symptomatic control group (n = 10) of military personnel undergoing CBT. Fifty percent of symptomatic controls dropped out of CBT early and the group maintained baseline symptoms. In contrast, those who used the mHealth application completed therapy and showed a significant reduction in symptoms of depression, anxiety, stress, and anger. The results from this study demonstrate the feasibility of pairing data-driven mobile applications with CBT in vulnerable populations, leading to an improvement in therapy compliance and a reduction in symptoms compared to CBT treatment alone. Future work is focused on the inclusion of passive sensing modalities and the integration of additional data sources to provide better insights and inform clinical decisions to improve personalized support.
Published: 2022
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17. Interest in HIV Prevention Mobile Phone Apps: Focus Group Study With Sexual and Gender Minority Persons Living in the Rural Southern United States

Author: Jeb Jones, O Winslow Edwards, Leland Merrill, Patrick S Sullivan, and Rob Stephenson
Subjects: Medicine
Abstract: BackgroundMobile health (mHealth) interventions, including smartphone apps, have been found to be an effective means of increasing the uptake of HIV prevention tools, including HIV and sexually transmitted infection (STI) tests and pre-exposure prophylaxis. However, most HIV prevention mHealth apps tested in the United States have been tested among populations living in areas surrounding urban centers. Owing to reduced access to broadband internet and reliable cellular data services, it remains unclear how accessible and effective these interventions will be in rural areas. In addition, gay and bisexual men who have sex with men and gender minority populations in rural areas experience enhanced stigma when compared with their more urban counterparts, and these experiences might affect their willingness and interest in mHealth apps. ObjectiveThis study aimed to conduct online focus groups with men who have sex with men and transgender and gender diverse populations in the rural southern United States to assess their interest in mHealth HIV prevention apps and the features that they would be the most interested in using. MethodsFocus group participants were recruited from a larger pool of sexual and gender minority respondents to a web-based research survey. The participants indicated that they would be willing to participate in an online focus group discussion. Focus groups were conducted via secure Zoom (Zoom Video Communications Inc) videoconferencing. During the focus group discussions, participants were asked to discuss their experiences with HIV and STI prevention and how these experiences were affected by living in a rural area. They were then shown screenshots of a new app to promote HIV and STI prevention among rural populations and asked to provide their opinions on the app’s features. The transcripts of the discussions were reviewed and coded using a constant comparative approach. ResultsA total of 6 focus groups were conducted with 26 participants. Most participants were cisgender gay and bisexual men who have sex with men (19/26, 73%); the remaining participants were transgender men (2/26, 8%), were nonbinary people (2/26, 8%), or had multiple gender identities (3/26, 12%). Participants reported numerous barriers to accessing HIV and STI prevention services and accurate information about HIV and STI prevention options. Overall, the participants reported a high degree of interest in mHealth interventions for HIV and STI prevention and suggested several recommendations for the features of an app-based intervention that would be the most useful for rural residents. ConclusionsThese focus group discussions indicate that rural residence is not a major barrier to mHealth HIV and STI prevention intervention implementation and that there is a high degree of interest in these approaches to HIV and STI prevention.
Published: 2022
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18. Role of antibodies, inflammatory markers, and echocardiographic findings in postacute cardiopulmonary symptoms after SARS-CoV-2 infection

Author: Matthew S. Durstenfeld, Michael J. Peluso, J. Daniel Kelly, Sithu Win, Shreya Swaminathan, Danny Li, Victor M. Arechiga, Victor Zepeda, Kaiwen Sun, Shirley Shao, Christopher Hill, Mireya I. Arreguin, Scott Lu, Rebecca Hoh, Viva Tai, Ahmed Chenna, Brandon C. Yee, John W. Winslow, Christos J. Petropoulos, John Kornak, Timothy J. Henrich, Jeffrey N. Martin, Steven G. Deeks, and Priscilla Y. Hsue
Subjects: COVID-19, Cardiology, Medicine
Abstract: Shortness of breath, chest pain, and palpitations occur as postacute sequelae of COVID-19, but whether symptoms are associated with echocardiographic abnormalities, cardiac biomarkers, or markers of systemic inflammation remains unknown. In a cross-sectional analysis, we assessed symptoms, performed echocardiograms, and measured biomarkers among adults more than 8 weeks after confirmed SARS-CoV-2 infection. We modeled associations between symptoms and baseline characteristics, echocardiographic findings, and biomarkers using logistic regression. We enrolled 102 participants at a median of 7.2 months following COVID-19 onset; 47 individuals reported dyspnea, chest pain, or palpitations. Median age was 52 years, and 41% of participants were women. Female sex, hospitalization, IgG antibody against SARS-CoV-2 receptor binding domain, and C-reactive protein were associated with symptoms. Regarding echocardiographic findings, 4 of 47 participants (9%) with symptoms had pericardial effusions compared with 0 of 55 participants without symptoms; those with effusions had a median of 4 symptoms compared with a median of 1 symptom in those without effusions. There was no strong evidence for a relationship between symptoms and echocardiographic functional parameters or other biomarkers. Among adults more than 8 weeks after SARS-CoV-2 infection, SARS-CoV-2 RBD antibodies, markers of inflammation, and, possibly, pericardial effusions are associated with cardiopulmonary symptoms. Investigation into inflammation as a mechanism underlying postacute sequelae of COVID-19 is warranted.
Published: 2022
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19. Effect of acute postsurgical pain trajectories on 30-day and 1-year pain

Author: Saria S. Awadalla, Victoria Winslow, Michael S. Avidan, Simon Haroutounian, and Thomas G. Kannampallil
Subjects: Medicine, Science
Abstract: Untreated pain after surgery leads to poor patient satisfaction, longer hospital length of stay, lower health-related quality of life, and non-compliance with rehabilitation regimens. The aim of this study is to characterize the structure of acute pain trajectories during the postsurgical hospitalization period and quantify their association with pain at 30-days and 1-year after surgery. This cohort study included 2106 adult (≥18 years) surgical patients who consented to participate in the SATISFY-SOS registry (February 1, 2015 to September 30, 2017). Patients were excluded if they did not undergo invasive surgeries, were classified as outpatients, failed to complete follow up assessments at 30-days and 1-year following surgery, had greater than 4-days of inpatient stay, and/or recorded fewer than four pain scores during their acute hospitalization period. The primary exposure was the acute postsurgical pain trajectories identified by a machine learning-based latent class approach using patient-reported pain scores. Clinically meaningful pain (≥3 on a 0–10 scale) at 30-days and 1-year after surgery were the primary and secondary outcomes, respectively. Of the study participants (N = 2106), 59% were female, 91% were non-Hispanic White, and the mean (SD) age was 62 (13) years; 41% of patients underwent orthopedic surgery and 88% received general anesthesia. Four acute pain trajectory clusters were identified. Pain trajectories were significantly associated with clinically meaningful pain at 30-days (p = 0.007), but not at 1-year (p = 0.79) after surgery using covariate-adjusted logistic regression models. Compared to Cluster 1, the other clusters had lower statistically significant odds of having pain at 30-days after surgery (Cluster 2: [OR = 0.67, 95%CI (0.51–0.89)]; Cluster 3:[OR = 0.74, 95%CI (0.56–0.99)]; Cluster 4:[OR = 0.46, 95%CI (0.26–0.82)], all p
Published: 2022

20. Switched and unswitched memory B cells detected during SARS-CoV-2 convalescence correlate with limited symptom duration.

Author: Krista L Newell, Deanna C Clemmer, Justin B Cox, Yetunde I Kayode, Victoria Zoccoli-Rodriguez, Harry E Taylor, Timothy P Endy, Joel R Wilmore, and Gary M Winslow
Subjects: Medicine, Science
Abstract: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the causative agent of the pandemic human respiratory illness COVID-19, is a global health emergency. While severe acute disease has been linked to an expansion of antibody-secreting plasmablasts, we sought to identify B cell responses that correlated with positive clinical outcomes in convalescent patients. We characterized the peripheral blood B cell immunophenotype and plasma antibody responses in 40 recovered non-hospitalized COVID-19 subjects that were enrolled as donors in a convalescent plasma treatment study. We observed a significant negative correlation between the frequency of peripheral blood memory B cells and the duration of symptoms for convalescent subjects. Memory B cell subsets in convalescent subjects were composed of classical CD24+ class-switched memory B cells, but also activated CD24-negative and natural unswitched CD27+ IgD+ IgM+ subsets. Memory B cell frequency was significantly correlated with both IgG1 and IgM responses to the SARS-CoV-2 spike protein receptor binding domain (RBD) in most seropositive subjects. IgM+ memory, but not switched memory, directly correlated with virus-specific antibody responses, and remained stable over 3 months. Our findings suggest that the frequency of memory B cells is a critical indicator of disease resolution, and that IgM+ memory B cells may play an important role in SARS-CoV-2 immunity.
Published: 2021
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21. The role of fasting on spine regeneration and bacteremia in the purple sea urchin Strongylocentrotus purpuratus.

Author: David A Scholnick and Alexandra E Winslow
Subjects: Medicine, Science
Abstract: Fasting has been shown to increase longevity and alter immune function in a variety of animals, but little is understood about how reduced caloric intake may impact regeneration and infections in animals that must regularly repair and regenerate tissue in marine environments that contain high levels of bacteria. We examined the possibility that fasting could enhance spine regeneration and reduce bacteremia in the purple sea urchin Strongylocentrotus purpuratus. A small number of spines were removed from urchins and rates of spine regrowth and levels of culturable bacteria from the coelomic fluid were measured for 21 days in fed and fasted urchins. Fasted urchins had higher rates of spine regrowth and lower levels of colony-forming units (CFU) per milliliter of coeolomic fluid. The predominant bacteria in the coelomic fluid was isolated and identified by DNA sequence-based methods as Vibrio cyclitrophicus. After 21 days, fasted and fed urchins were injected with V. cyclitrophicus. Two hours after injection, fed urchins had about 25% more culturable bacteria remaining in their coelomic fluid compared to fasted urchins. We found no evidence that fasting altered coelomic fluid cell number or righting response, indicators of physiologic and behavioral stress in urchins. Our results demonstrate that V. cyclitrophicus is present in purple urchin coelomic fluid, that fasting can increase spine regeneration and that fasted urchins have much lower levels of culturable bacteria in their coelomic fluid than fed urchins. Overall, our data suggests that fasting may ultimately reduce bacteremia and infection in injured or damaged urchins.
Published: 2020
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22. 'Worse than I anticipated' or 'This isn't so bad'?: The impact of affective forecasting accuracy on self-reported task performance.

Author: Seth Kaplan, Carolyn Winslow, Lydia Craig, Xue Lei, Carol Wong, Jill Bradley-Geist, Martin Biskup, and Gregory Ruark
Subjects: Medicine, Science
Abstract: Various motivational theories emphasize that desired emotional outcomes guide behavioral choices. Although motivational theory and research has emphasized that behavior is affected by desired emotional outcomes, little research has focused on the impact of anticipated feelings about engaging in behavior. The current research seeks to partly fill that void. Specifically, we borrow from affective forecasting research in suggesting that forecasts about engaging in performance-relevant behaviors can be more or less accurate. Furthermore, we suggest that the degree of accuracy has implications for self-reported task performance. To examine these ideas, we conducted two studies in which individuals made affective predictions about engaging in tasks and then later reported how they actually felt during task engagement. We also assessed their self-reported task performance. In Study 1, 214 workers provided affective forecasts about upcoming work tasks, and in Study 2, 185 students made forecasts about studying for an exam. Results based on polynomial regression were largely consistent across the studies. The accuracy of the forecasts did not conform to the pattern of affective forecasting accuracy typically found outside the performance domain. Furthermore, anticipated and experienced affect jointly predicted self-reported task performance in a consistent manner. Collectively, these findings suggest that taking into account anticipated affect, and its relationship with later experienced affect, provides a more comprehensive account of affect's role in task performance.
Published: 2020
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23. Prehospital use of a modified HEART Pathway and point-of-care troponin to predict cardiovascular events.

Author: Jason P Stopyra, Anna C Snavely, Lane M Smith, R David Harris, Robert D Nelson, James E Winslow, Roy L Alson, Gregory J Pomper, Robert F Riley, Nicklaus P Ashburn, Nella W Hendley, Jeremiah Gaddy, Tyler Woodrum, Louis Fornage, David Conner, Manrique Alvarez, Adam Pflum, Lauren E Koehler, Chadwick D Miller, and Simon A Mahler
Subjects: Medicine, Science
Abstract: Clinical trial registrationclinicaltrials.gov (NCT02709135).
Published: 2020
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24. Prehospital Trauma Scene and Transport Times for Pediatric and Adult Patients

Author: Nicklaus P. Ashburn, Nella W. Hendley, Ryan M. Angi, Andrew B. Starnes, R. Darrell Nelson, Henderson D. McGinnis, James E. Winslow, David M. Cline, Brian C. Hiestand, and Jason P. Stopyra
Subjects: Medicine, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract: Introduction: Increased out-of-hospital time is associated with worse outcomes in trauma. Sparse literature exists comparing prehospital scene and transport time management intervals between adult and pediatric trauma patients. National Emergency Medical Services guidelines recommend that trauma scene time be less than 10 minutes. The objective of this study was to examine prehospital time intervals in adult and pediatric trauma patients. Methods: We performed a retrospective cohort study of blunt and penetrating trauma patients in a five-county region in North Carolina using prehospital records. We included patients who were transported emergency traffic directly from the scene by ground ambulance to a Level I or Level II trauma center between 2013–2018. We defined pediatric patients as those less than 16 years old. Urbanicity was controlled for using the Centers for Medicare and Medicaid’s Ambulance Fee Schedule. We performed descriptive statistics and linear mixed-effects regression modeling. Results: A total of 2179 records met the study criteria, of which 2077 were used in the analysis. Mean scene time was 14.2 minutes (95% confidence interval [CI], 13.9–14.5) and 35.3% (n = 733) of encounters had a scene time of 10 minutes or less. Mean transport time was 17.5 minutes (95% CI, 17.0–17.9). Linear mixed-effects regression revealed that scene times were shorter for pediatric patients (p
Published: 2020
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25. Hmga2 is dispensable for pancreatic cancer development, metastasis, and therapy resistance

Author: Shin-Heng Chiou, Madeleine Dorsch, Eva Kusch, Santiago Naranjo, Margaret M. Kozak, Albert C. Koong, Monte M. Winslow, and Barbara M. Grüner
Subjects: High Mobility Group A2 (HMGA2), Pancreatic Ductal Adenocarcinoma (PDAC), HMGA2 Protein, PDAC Cells, Murine PDAC, Medicine, Science
Abstract: Abstract Expression of the chromatin-associated protein HMGA2 correlates with progression, metastasis and therapy resistance in pancreatic ductal adenocarcinoma (PDAC). Hmga2 has also been identified as a marker of a transient subpopulation of PDAC cells that has increased metastatic ability. Here, we characterize the requirement for Hmga2 during growth, dissemination, and metastasis of PDAC in vivo using conditional inactivation of Hmga2 in well-established autochthonous mouse models of PDAC. Overall survival, primary tumour burden, presence of disseminated tumour cells in the peritoneal cavity or circulating tumour cells in the blood, and presence and number of metastases were not significantly different between mice with Hmga2-wildtype or Hmga2-deficient tumours. Treatment of mice with Hmga2-wildtype and Hmga2-deficient tumours with gemcitabine did not uncover a significant impact of Hmga2-deficiency on gemcitabine sensitivity. Hmga1 and Hmga2 overlap in their expression in both human and murine PDAC, however knockdown of Hmga1 in Hmga2-deficient cancer cells also did not decrease metastatic ability. Thus, Hmga2 remains a prognostic marker which identifies a metastatic cancer cell state in primary PDAC, however Hmga2 has limited if any direct functional impact on PDAC progression and therapy resistance.
Published: 2018
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26. Macrophages attenuate the transcription of CYP1A1 in breast tumor cells and enhance their proliferation.

Author: Sofia Winslow, Anica Scholz, Peter Rappl, Thilo F Brauß, Christina Mertens, Michaela Jung, Andreas Weigert, Bernhard Brüne, and Tobias Schmid
Subjects: Medicine, Science
Abstract: While aberrant cells are routinely recognized and removed by immune cells, tumors eventually escape innate immune responses. Infiltrating immune cells are even corrupted by the tumor to acquire a tumor-supporting phenotype. In line, tumor-associated macrophages are well-characterized to promote tumor progression and high levels of tumor-infiltrating macrophages are a poor prognostic marker in breast cancer. Here, we aimed to further decipher the influence of macrophages on breast tumor cells and determined global gene expression changes in three-dimensional tumor spheroids upon infiltration of macrophages. While various tumor-associated mRNAs were upregulated, expression of the cytochrome P450 family member CYP1A1 was markedly attenuated. Repression of CYP1A1 in tumor cells was elicited by a macrophage-shaped tumor microenvironment rather than by direct tumor cell-macrophage contacts. In line with changes in RNA expression profiles, macrophages enhanced proliferation of the tumor cells. Enhanced proliferation and macrophage presence further correlated with reduced CYP1A1 expression in patient tumors when compared with normal tissue. These findings are of interest in the context of combinatory therapeutic approaches involving cytotoxic and immune-modulatory compounds.
Published: 2019
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27. Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice

Author: Jordana Muroff and Winslow Robinson
Subjects: Design framework, 050103 clinical psychology, Modalities, Process (engineering), medicine.medical_treatment, 05 social sciences, Applied psychology, Activity scheduling, Treatment engagement, 030227 psychiatry, Cognitive behavioral therapy, 03 medical and health sciences, Clinical Psychology, 0302 clinical medicine, Treatment delivery, medicine, 0501 psychology and cognitive sciences, Psychology
Abstract: Treatment engagement in cognitive behavioral therapy (CBT) is associated with positive outcomes. Technology-based tools present an opportunity to facilitate engagement in CBT. This paper will first review specific CBT engagement-related constructs, modalities/formats for applying technology in treatment delivery, specific engagement features available in CBT-based apps, and the relationship between CBT engagement and outcome. The Fogg Behavior Model may inform a process for enhancing CBT engagement, specifically utilizing technology towards achieving perceived simplicity and activating behaviors. Two vignettes are presented that apply the Fogg Behavior Model (FBM) and Persuasive Design framework to illustrate CBT engagement related constructs and practical considerations in applying technology-based tools to support CBT engagement. The vignettes focus on homework adherence with a thought record as well as activity scheduling. This paper concludes with a brief discussion of clinician engagement with technology applying the FBM, considerations of cultural responsiveness and inclusiveness, and additional implications for future research.
Published: 2022

28. Sleep-related resources for patients and providers

Author: Elizabeth Kociolek, Deborah Holderman, and Cathryn Winslow
Subjects: medicine.medical_specialty, business.industry, Medicine, business, Psychiatry, Sleep in non-human animals
Published: 2023

29. Baby Shampoo to Relieve the Discomfort of Tear Gas and Pepper Spray Exposure: A Randomized Controlled Trial

Author: Jason P. Stopyra, James E. Winslow III, James C. Johnson III, Keith D. Hill, and William P. Bozeman
Subjects: Medicine, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract: Introduction: Oleoresin capsicum (OC) or pepper spray, and tear gas (CS) are used by police and the military and produce severe discomfort. Some have proposed that washing with baby shampoo helps reduce this discomfort. Methods: We conducted a prospective, randomized, controlled study to determine if baby shampoo is effective in reducing the severity and duration of these effects. Study subjects included volunteers undergoing OC or CS exposure as part of their police or military training. After standardized exposure to OC or CS all subjects were allowed to irrigate their eyes and skin ad lib with water. Those randomized to the intervention group were provided with baby shampoo for application to their head, neck, and face. Participants rated their subjective discomfort in two domains on a scale of 0–10 at 0, 3, 5, 10, and 15 minutes. We performed statistical analysis using a two-tailed Mann-Whitney Test. Results: There were 58 participants. Of 40 subjects in the OC arm of the study, there were no significant differences in the ocular or respiratory discomfort at any of the time points between control (n=19) and intervention (n=21) groups. Of 18 subjects in the CS arm, there were no significant differences in the ocular or skin discomfort at any of the time points between control (n=8) and intervention (n=10) groups. Conclusion: Irrigation with water and baby shampoo provides no better relief from OC- or CS-induced discomfort than irrigation with water alone.
Published: 2018
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30. Risk factors for bleeding hepatocellular adenoma in a United States cohort

Author: Emily Winslow, Rohit Satoskar, Coleman Smith, Reena Jha, Stephen Fernandez, Marco Ertreo, Jimin Ko, Thomas M. Fishbein, Chelsea Mcdermott, Sameer Desale, and Christine Hsu
Subjects: medicine.medical_specialty, Carcinoma, Hepatocellular, Malignancy, Gastroenterology, Adenoma, Liver Cell, Vascularity, Risk Factors, Internal medicine, medicine, Humans, Hedgehog Proteins, Pathological, Retrospective Studies, Hepatology, business.industry, Liver Neoplasms, Focal nodular hyperplasia, Hepatocellular adenoma, medicine.disease, Magnetic Resonance Imaging, United States, Exact test, Cohort, medicine.symptom, Steatosis, business
Abstract: Known risk factors for hepatocellular adenoma (HCA) bleeding are size5 cm, growth rate, visible vascularity, exophytic lesions, β-catenin and Sonic Hedgehog activated HCAs. Most studies are based on European cohorts. The objective of this study is to identify additional risk factors for HCA bleeding in a US cohort.Retrospective chart review was performed on patients diagnosed with HCA on magnetic resonance imaging (n = 184) at an academic tertiary institution. Clinical, pathological, and imaging data were collected. Primary outcomes measured were HCA bleeding and malignancy. Statistical analysis was performed with SAS 9.4 using Chi-Square, Fisher's exact test, sample t test, non-parametric Wilcoxon test, and logistic regression.After excluding patients whose pathology showed focal nodular hyperplasia and non-adenoma lesions, follow-up data were available for 167 patients. 16% experienced microscopic or macroscopic bleeding and 1.2% had malignancy. HCA size predicted bleeding (P .0001) and no patients with lesion size1.8 cm bled. In unadjusted analysis, hepatic adenomatosis (≥10 lesions) trended towards 2.8-fold increased risk of bleeding. Of patients with a single lesion that bled, 77% bled from a lesion5 cm. In patients with multiple HCAs that bled, 50% bled from lesions5 cm. In patients with multiple adenomas, size (P = .001) independently predicted bleeding and hepatic steatosis trended towards increased risk of bleeding (P = .05).In a large US cohort, size predicted increased risk of HCA bleeding while hepatic adenomatosis trended towards increased risk of bleeding. In patients with multiple HCAs, size predicted bleeding and hepatic steatosis trended toward increased risk of bleeding.
Published: 2021

31. Machine learning principles applied to CT radiomics to predict mucinous pancreatic cysts

Author: E. Winslow, Dane Morgan, Michael M. Vanden Heuvel, Agrima Kampani, Adam M Awe, Shanchao Liang, Tianyuan Yuan, Mingren Shen, Meghan G. Lubner, and Victoria R. Rendell
Subjects: Quantitative imaging, Radiological and Ultrasound Technology, business.industry, Urology, Gastroenterology, Machine learning, computer.software_genre, medicine.disease, Resection, Surgical pathology, Radiomics, Classifier (linguistics), medicine, Kurtosis, Radiology, Nuclear Medicine and imaging, Artificial intelligence, Pancreatic cysts, Extreme gradient boosting, business, computer
Abstract: Current diagnostic and treatment modalities for pancreatic cysts (PCs) are invasive and are associated with patient morbidity. The purpose of this study is to develop and evaluate machine learning algorithms to delineate mucinous from non-mucinous PCs using non-invasive CT-based radiomics. A retrospective, single-institution analysis of patients with non-pseudocystic PCs, contrast-enhanced computed tomography scans within 1 year of resection, and available surgical pathology were included. A quantitative imaging software platform was used to extract radiomics. An extreme gradient boosting (XGBoost) machine learning algorithm was used to create mucinous classifiers using texture features only, or radiomic/radiologic and clinical combined models. Classifiers were compared using performance scoring metrics. Shapely additive explanation (SHAP) analyses were conducted to identify variables most important in model construction. Overall, 99 patients and 103 PCs were included in the analyses. Eighty (78%) patients had mucinous PCs on surgical pathology. Using multiple fivefold cross validations, the texture features only and combined XGBoost mucinous classifiers demonstrated an area under the curve of 0.72 ± 0.14 and 0.73 ± 0.14, respectively. By SHAP analysis, root mean square, mean attenuation, and kurtosis were the most predictive features in the texture features only model. Root mean square, cyst location, and mean attenuation were the most predictive features in the combined model. Machine learning principles can be applied to PC texture features to create a mucinous phenotype classifier. Model performance did not improve with the combined model. However, specific radiomic, radiologic, and clinical features most predictive in our models can be identified using SHAP analysis.
Published: 2021

32. Improving safety of robotic major hepatectomy with extrahepatic inflow control and laparoscopic CUSA parenchymal transection: technical description and initial experience

Author: Erin Meslar, P. Radkani, Rodrigo Mateo, Brian Nguyen, Thomas M. Fishbein, Leonid Belyayev, Nathaly Llore, Jason Hawksworth, Matthew L. Holzner, and E. Winslow
Subjects: Central Hepatectomy, medicine.medical_specialty, Blood transfusion, Percutaneous, business.industry, medicine.medical_treatment, Hepatology, Malignancy, medicine.disease, Surgery, Internal medicine, medicine, Robotic surgery, Hepatectomy, business, Abdominal surgery
Abstract: Blood loss is a major determinant of outcomes following hepatectomy. Robotic technology enables hepatobiliary surgeons to mimic open techniques for inflow control and parenchymal transection during major hepatectomy, increasing the ability to minimize blood loss and perform safe liver resections. Initial experience of 20 consecutive major robotic hepatectomies from November 2018 to July 2020 at two co-located institutions was reviewed. All cases were performed with extrahepatic inflow control and parenchymal transection with the laparoscopic cavitron ultrasonic surgical aspirator (CUSA), and a technical description is illustrated. Clinical characteristics, operative data, and surgical outcomes were retrospectively analyzed. The median (range) patient age was 58 years (20–76) and the majority of 14 (70%) patients were ASA III–IV. There were 12 (60%) resections for malignancy and the median tumor size was 6.2 cm (1.2–14.6). Right or extended right hepatectomy was the most common procedure (12 or 60% of cases). There were 7 (35%) left or extended left hepatectomies and 1 (5%) central hepatectomy. The median operative time was 420 (177–622) minutes. Median estimated blood loss was 300 mL (25–800 mL). One (5%) case was converted to open. Two (10%) patients required blood transfusion. The median length of stay was 3 (1–6) days. Major complications included 1 (5%) Clavien–Dindo IIIa bile leak requiring percutaneous drainage placement. There was no 90-day mortality. Advanced techniques to reduce blood loss in robotic hepatectomy may optimize safety and minimize morbidity in these complex minimally invasive procedures.
Published: 2021

33. Video-Based Coaching: Current Status and Role in Surgical Practice (Part 1) From the Society for Surgery of the Alimentary Tract, Health Care Quality and Outcomes Committee

Author: Joel E. Goldberg, Vanita Ahuja, E. Winslow, and Deborah S. Keller
Subjects: Medical education, Quality management, business.industry, education, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Gastroenterology, Audit, Surgical training, Coaching, Patient safety, Mentorship, Medicine, Surgery, Cognitive skill, business, Health care quality
Abstract: Patient safety and outcomes are directly related to surgical performance. Surgical training emphasizes the importance of the surgeon in determining these outcomes. After training is complete, there is a lack of structured programs for surgeons to audit their skills and continue their individual development. There is a significant linear relationship between surgeon technical skill and surgical outcomes; however, measuring technical performance is difficult. Video-based coaching matches an individual surgeon in practice with a surgical colleague who has been trained in the core principles of coaching for individualizing instruction. It can provide objective assessment for teaching higher-level concepts, such as technical skills, cognitive skills, and decision-making. There are many benefits to video-based coaching. While the concept is gaining acceptance as a method of surgical education, it is still novel in clinical practice. As more surgeons look towards video-based coaching for quality improvement, a consistent definition of the program, goals, and metrics for assessment will be critical. This paper is a review on the status of the video-based coaching as it applies to practicing surgeons.
Published: 2021

34. miR-200 deficiency promotes lung cancer metastasis by activating Notch signaling in cancer-associated fibroblasts

Author: Haydn M. Prosser, Caifu Chen, Michael T. McManus, Bin Xue, Allan Bradley, Maximilian Kühn, Jingqi Chen, Yalei Wu, Bo Su, Neil Sahasrabudhe, Cesar Seigi Fuziwara, Anne Biton, John E. Wilkinson, Monte M. Winslow, Chen-Hua Chuang, Claudia Chan, and Lin He
Subjects: JAG2, JAG1, Notch signaling pathway, Biology, medicine.disease, medicine.disease_cause, Metastasis, Cancer cell, Genetics, medicine, Cancer research, Adenocarcinoma, KRAS, Lung cancer, Research Paper, Developmental Biology
Abstract: Lung adenocarcinoma, the most prevalent lung cancer subtype, is characterized by its high propensity to metastasize. Despite the importance of metastasis in lung cancer mortality, its underlying cellular and molecular mechanisms remain largely elusive. Here, we identified miR-200 miRNAs as potent suppressors for lung adenocarcinoma metastasis. miR-200 expression is specifically repressed in mouse metastatic lung adenocarcinomas, and miR-200 decrease strongly correlates with poor patient survival. Consistently, deletion of mir-200c/141 in the KrasLSL-G12D/+; Trp53flox/flox lung adenocarcinoma mouse model significantly promoted metastasis, generating a desmoplastic tumor stroma highly reminiscent of metastatic human lung cancer. miR-200 deficiency in lung cancer cells promotes the proliferation and activation of adjacent cancer-associated fibroblasts (CAFs), which in turn elevates the metastatic potential of cancer cells. miR-200 regulates the functional interaction between cancer cells and CAFs, at least in part, by targeting Notch ligand Jagged1 and Jagged2 in cancer cells and inducing Notch activation in adjacent CAFs. Hence, the interaction between cancer cells and CAFs constitutes an essential mechanism to promote metastatic potential.
Published: 2021

35. Quantitative In Vivo Analyses Reveal a Complex Pharmacogenomic Landscape in Lung Adenocarcinoma

Author: Ian P. Winters, Charles M. Rudin, Hongchen Cai, Monte M. Winslow, Maryam Yousefi, Zoë N. Rogers, Chuan Li, Hira Rizvi, Christopher D. McFarland, Dmitri A. Petrov, and Wen-Yang Lin
Subjects: 0303 health sciences, Cancer Research, Lung, Cancer, Computational biology, Biology, medicine.disease, Patient response, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Oncology, In vivo, 030220 oncology & carcinogenesis, Pharmacogenomics, Genotype, medicine, Adenocarcinoma, Lung cancer, 030304 developmental biology
Abstract: The lack of knowledge about the relationship between tumor genotypes and therapeutic responses remains one of the most critical gaps in enabling the effective use of cancer therapies. Here, we couple a multiplexed and quantitative experimental platform with robust statistical methods to enable pharmacogenomic mapping of lung cancer treatment responses in vivo. The complex map of genotype-specific treatment responses uncovered that over 20% of possible interactions show significant resistance or sensitivity. Known and novel interactions were identified, and one of these interactions, the resistance of KEAP1-mutant lung tumors to platinum therapy, was validated using a large patient response data set. These results highlight the broad impact of tumor suppressor genotype on treatment responses and define a strategy to identify the determinants of precision therapies. Significance: An experimental and analytical framework to generate in vivo pharmacogenomic maps that relate tumor genotypes to therapeutic responses reveals a surprisingly complex map of genotype-specific resistance and sensitivity.
Published: 2021

36. Pancreatic cyst characterization: maximum axial diameter does not measure up

Author: Victoria R. Rendell, Adam M Awe, E. Winslow, Meghan G. Lubner, and Sharon M. Weber
Subjects: Quantitative imaging, Hepatology, business.industry, Volumetric growth, Gastroenterology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Volume (thermodynamics), 030220 oncology & carcinogenesis, Pancreatic cyst, Humans, Medicine, 030211 gastroenterology & hepatology, Cyst, Pancreatic Cyst, Pancreatic cysts, business, Nuclear medicine
Abstract: Background Unidimensional size is commonly used to risk stratify pancreatic cysts (PCs) despite inconsistent performance. The current study aimed to determine if unidimensional size, demonstrated by maximum axial diameter (MAD), is an appropriate surrogate measurement for volume and surface area. Methods Patients with cross-sectional imaging of PCs from 2012 to 2013 were identified. Cyst MAD, volume, and surface area were measured using quantitative imaging software. Non-pseudocystic PCs >1 cm were selected for inclusion to assess MAD correlation with volume and surface area. Cysts imaged twice >1 year apart were selected to evaluate volumetric growth rate. Results In total, 195 cysts were included. Overall, MAD was strongly correlated with volume (r = 0.83) and surface area (r = 0.93). However, cysts 1–2 cm and 2–3 cm were weakly correlated with volume and surface area: r = 0.78, 0.57 and 0.82, 0.61, respectively. Cyst volumes and surface areas varied widely within unidimensional size groups with 51% and 40% of volumes and surface areas overlapping unidimensional size groups, respectively. Estimated changes in volume poorly predicted measured changes in volume with 42% of cysts having >100% absolute percent difference. Conclusions Pancreatic cyst volume and surface area may be useful adjunct measurements to risk stratify patients and surveil cyst changes and deserves further study.
Published: 2021

37. The Foundations of interprofessional curriculum. Finding the right epistemology and learning theory for the task

Author: C. Scott Smith, India King, Amber Fisher, William Weppner, and Winslow Gerrish
Subjects: Ambulatory, Complex Adaptive Systems, Constructivism/Constructivist, Reductionism/Reductionist, Special aspects of education, LC8-6691, Medicine
Abstract: Introduction: Health professional education programs are currently focusing on interprofessional training. This can highlight differences between our professions in our learning theories and training assumptions. A standardized approach to picking a deliberate perspective from which to design specific interprofessional curricula may be useful. Discourses: This paper presents one such approach. It is based on a 3 X 3 matrix developed by interprofessional faculty over seven years of team-based clinical training. To use this matrix, a deliberate epistemology (e.g., reductionist, constructivist, or complexity) and a learning theory (competency-based education, clinical reasoning, and situated learning) are chosen based on the goals of training, the context, and the developmental stage of the learners. Application: Each element in the matrix then provides a focused set of considerations for designing and assessing interprofessional curriculum. In addition, this matrix provides a framework for incorporating other epistemologies and learning theories. Conclusions: As professionals, we have been enculturated to see health education from a single perspective. A wider, structured approach to adopting learning assumptions and theories may better match the interprofessional training tasks we are being asked to design.
Published: 2017

38. Early derivation of IgM memory cells and bone marrow plasmablasts.

Author: Amber M Papillion, Kevin J Kenderes, Jennifer L Yates, and Gary M Winslow
Subjects: Medicine, Science
Abstract: IgM memory cells are recognized as an important component of B cell memory in mice and humans. Our studies of B cells elicited in response to ehrlichial infection identified a population of CD11c-positive IgM memory cells, and an IgM bone marrow antibody-secreting cell population. The origin of these cells was unknown, although an early T-independent spleen CD11c- and T-bet-positive IgM plasmablast population precedes both, suggesting a linear relationship. A majority of the IgM memory cells detected after day 30 post-infection, also T-bet-positive, had undergone somatic hypermutation, indicating they expressed activation-induced cytidine deaminase (AID). Therefore, to identify early AID-expressing precursor B cells, we infected an AID-regulated tamoxifen-inducible Cre-recombinase-EYFP reporter strain. Tamoxifen administration led to the labeling of both IgM memory cells and bone marrow ASCs on day 30 and later post-infection. High frequencies of labeled cells were identified on day 30 post-infection, following tamoxifen administration on day 10 post-infection, although IgM memory cells were marked when tamoxifen was administered as early as day 4 post-infection. Transcription of Aicda in the early plasmablasts was not detected in the absence of CD4 T cells, but occurred independently of TLR signaling. Unlike the IgM memory cells, the bone marrow IgM ASCs were elicited independent of T cell help. Moreover, Aicda was constitutively expressed in IgM memory cells, but not in bone marrow ASCs. These studies demonstrate that two distinct long-term IgM-positive B cell populations are generated early in response to infection, but are maintained via separate mechanisms.
Published: 2017
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39. Sex differences in the IntelliCage and the Morris water maze in the APP/PS1 mouse model of amyloidosis

Author: Savannah Tallino, Likith Surendra, Marc A. Mifflin, Austin S. Vural, Ramon Velazquez, and Wendy Winslow
Subjects: Male, 0301 basic medicine, Aging, Amyloid, Prefrontal Cortex, Morris water navigation task, Mice, Transgenic, Hippocampus, Article, IntelliCage, Water consumption, 03 medical and health sciences, Cognition, 0302 clinical medicine, Morris Water Maze Test, Sex differences, Animals, Humans, APP/PS1 mice, Medicine, Aβ, Motivation, Sex Characteristics, Amyloid beta-Peptides, business.industry, General Neuroscience, Amyloidosis, Brain, Hippocampal function, medicine.disease, Disease Models, Animal, Glucose, 030104 developmental biology, Behavioral test, Female, Neurology (clinical), Geriatrics and Gerontology, business, Morris water maze, Neuroscience, 030217 neurology & neurosurgery, Developmental Biology
Abstract: Transgenic rodent models were created to decipher pathogenic mechanisms associated with Alzheimer’s disease (AD), and behavioral apparatuses such as the Morris water maze (MWM) are used to assess cognition in mice. The IntelliCage was designed to circumvent issues of traditional behavioral tests, such as frequent human handling. The motivation to complete IntelliCage tasks is water consumption, which is less stressful than escaping from a pool in the MWM. Here, we examined behavioral performances of mice in the IntelliCage and MWM tasks. Twelve-month-old male and female APP/PS1 and non-transgenic mice first underwent 42 days of IntelliCage testing to assess prefrontal cortical and hippocampal function followed by MWM testing for six days. We found that females performed better in the IntelliCage while males performed superiorly in the MWM. Mechanistically, female APP/PS1 mice had a higher Amyloid-β plaque load throughout the brain, which is inconsistent with their performance in the IntelliCage. Collectively, these results inform scientists about the sex-based differences when testing animals in different behavioral paradigms that tap similar cognitive functions.
Published: 2021

40. Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

Author: Obbina Abani, Ali Abbas, Fatima Abbas, Mustafa Abbas, Sadia Abbasi, Hakam Abbass, Alfie Abbott, Nabeel Abdallah, Ashraf Abdelaziz, Mohamed Abdelfattah, Bushra Abdelqader, David Abdo, Basir Abdul, Althaf Abdul Rasheed, Ajibode Abdulakeem, Rezan Abdul-Kadir, Amina Abdulle, Abdulfatahi Abdulmumeen, Rasheed Abdul-Raheem, Niyaz Abdulshukkoor, Kula Abdusamad, Yazeed Abed El Khaleq, Mai Abedalla, Abeer Ul Amna Abeer Ul Amna, Katrina Abernethy, Adebanke Aboaba, Hani Abo-Leyah, Ahmed Abou-Haggar, Mahmoud Abouibrahim, Miriam Abraham, Tizzy Abraham, Abraheem Abraheem, Judith Abrams, Hyacinth-John Abu, Ahmed Abu-Arafeh, Syed M Abubacker, Akata Abung, Yaa Aceampong, Amaka Achara, Devikumar Acharya, Sarah Acheampong, Janet Acheson, Andres Acosta, Catherine Acton, Jacqueline Adabie-Ankrah, Sara Adair, Fiona Adam, Matthew Adam, Huzaifa Adamali, Carol Adams, Charlotte Adams, Kate Adams, Lisa Adams, Richard Adams, Tim Adams, Kirsty Adcock, Jemaimah Addai, Ade Adebiyi, Ken Adegoke, Vicki Adell, Debo Ademokun, Sherna Adenwalla, Oluwasegun A Adesemoye, Emmanuel O Adewunmi, Joyce Adeyemi, Rina Adhikary, Gabrielle Adkins, Adnan Adnan, John Aeron-Thomas, Debbie Affleck, Dominic Affron, Carmel Afnan, Muhammad Afridi, Zainab A Aftab, Meenakshi Agarwal, Rachel Agbeko, Chris Agbo, Penny Agent, Sunil Aggarwal, Arameh Aghababaie, Shafana Ahamed Sadiq, Mohamed H Ahammed Nazeer, Humayun Ahmad, Mohammad Ahmad, Syed Ahmad, Asim Ahmed, Bilal Ahmed, Forizuddin Ahmed, Hamze Ahmed, Iram Ahmed, Irshad Ahmed, Khaled Ahmed, Liban Ahmed, Mahin Ahmed, Maria C Ahmed, Muhammad S Ahmed, Naseer Ahmed, Nausheen Ahmed, Osama Ahmed, Rajia A Ahmed, Rizwan Ahmed, Saif Ahmed, Sammiya Ahmed, Sara Ahmed, Sophia Ahmed, Syed Ahmed, Syed Haris Ahmed, Roa Ahmed Ali, Sana Ahmed, Sana Ahmer, Dhiraj Ail, Mark Ainsworth, Giulia Airoldi, Myriam Aissa, Lindianne Aitken, Bini Ajay, Francis Ajeneye, Abdulakeem Ajibode, Ayesha Ajmi, Tahir Akbar, Naim Akhtar, Nasim Akhtar, Nauman Akhtar, Suha Akili, Oludoyinsola Akindolie, Yinka Akinfenwa, Olugbenga Akinkugbe, Ibrahim Akinpelu, Olajide Akinwumiju, Olugbenro Aktinade, Ahmad Al Aaraj, Asma Al Balushi, Majd Al Dakhola, Aladdin Al Swaifi, Eslam Al-Abadi, Narendra Aladangady, Ayaz Alam, Sajid Alam, Abbas Al-Asadi, Karina Al-Asadi, Kyriaki Alatzoglou, Manaf Al-Bayati, Paul Albert, Lorraine Albon, Gemma Alcorn, Stephen Alcorn, Aggie Aldana, David Alderdice, Rayan Aldouri, Jonathan Aldridge, Nicolas Aldridge, Ana Alegria, Alison Alexander, John Alexander, Peter D G Alexander, Charlotte Alford, Julyan Al-Fori, Laith Alghazawi, Bahij Al-Hakim, Shams Al-Hity, Ali Ali, Asad Ali, Fawzia R Ali, Hoodo Ali, Jawad Ali, Mariam Ali, Mohammad Ali, Nayab Ali, Oudai Ali, Sabira Ali, Sakina Ali, Syed Ali, Abid Alina, Fine Aliyuda, Katrin Alizadeh, Maithem Al-Jibury, Saba Al-Juboori, Majid Al-Khalil, Moutaz Alkhusheh, Allameddine Allameddine, Fiona Allan, Rachel Allan, Alison Allanson, Robert Allcock, Beverley Allen, Eireann Allen, Jess Allen, Kerry Allen, Laura Allen, Louise Allen, Poppy Allen, Rebecca Allen, Sam Allen, Sharon Allen, Simon Allen, Kathryn Allison, Bethan Allman, Lynne Allsop, Hassan Al-Moasseb, Magda Al-Obaidi, Lina Alomari, Akram Al-Rabahi, Bahar Al-Ramadhani, Zayneb Al-Saadi, Inji Alshaer, Rustam Al-Shahi Salman, Warkaq Al-Shamkhani, Bashar Al-Sheklly, Sara Altaf, Mary Alvarez, Balaal Alyas, Maysaa Alzetani, Susan Amamou, Noor Amar, Sakkarai Ambalavanan, Sarah-Jayne Ambler, Robert Ambrogetti, Chris Ambrose, Amir Ameen, Kenneth Amenyah, Maria R Amezaga, Allison Amin, Amina Amin, Kanish Amin, Syed Amin, Tara Amin, Amjad Amjad, Neelma Amjad, Mariam Ammoun, Victoria Amosun, Khaled Amsha, Pugh Amy, Atul Anand, Rekha Anand, Samantha Anandappa, Julie Anderson, Kevin Anderson, Laura Anderson, Michelle Anderson, Nicola Anderson, Rachel Anderson, Rory Anderson, Wendy Anderson, Prematie Andreou, Angela Andrews, Antonette Andrews, Jill Andrews, Susan Andrews, Gregory Andrikopoulos, Kanayochukwu Aneke, Andrew Ang, Wan Wei Ang, Tammy Angel, Aramburo Angela, Paola Angelini, Lazarus Anguvaa, Oleg Anichtchik, Millicent Anim-Somuah, Krishnan Aniruddhan, Jessica Annett, Patrick J Anstey, Rebekah Anstey, Alpha Anthony, Aaron Anthony-Pillai, Philip Antill, Zhelyazkova Antonina, Varghese Anu, Muhammad Anwar, George Apostolides, Aristeidis Apostolopoulos, Sarah Appleby, Diane Appleyard, Maia Far Aquino, Bianca Araba, Samuel Aransiola, Mariana Araujo, Emily Arbon, Ann Archer, Denise Archer, Simon Archer, Christian Ardley, Ana-Maria Arias, Ryoki Arimoto, Charlotte Arkley, Charlotte Armah, Ilianna Armata, Adam Armitage, Ceri Armstrong, Maureen Armstrong, Sonia Armstrong, Sylvia Armstrong-Fisher, Philippa Armtrong, Heike Arndt, Clare Arnison-Newgass, David Arnold, Rachael Arnold, Sarah Arnott, Dhawal Arora, Kavan Arora, Pardeep Arora, Rishi Arora, Andrea Arroyo, Arslam Arter, Ayush Arya, Rita Arya, Denisa Asandei, Adeeba Asghar, Catherine Ashbrook-Raby, Glen Ashby, Helen Ashby, Jan Ashcroft, John Ashcroft, Samuel Ashcroft, Deborah Asher, Ayesha Ashfaq, Ben Ashford, Suhail Ashgar, Abdul Ashish, Sally Ashman-Flavell, Sundar Ashok, Abd-El-Aziz Ashour, Muhammad Z Ashraf, Saima Ashraf, Mohammad B Ashraq, Deborah Ashton, Susan Ashton, Andrew Ashworth, Rebecca Ashworth, Arshia Aslam, Harshini Asogan, Abigail Asquith, Atif Asrar, Omar Assaf, Raine Astin-Chamberlain, Richard Athay-Hunt, Deborah Athorne, Billie Atkins, Christopher Atkins, Stacey Atkins, John Atkinson, Vicki Atkinson, Brygitta Atraskiewicz, Claire Atterbury, Abdul Ahmad Attia, Rita Atugonza, Paula Aubrey, Avinash Aujayeb, Aye Chan Thar Aung, Hnin Aung, Kyaw Thu Aung, Ni Aung, Yin Aung, Zaw Myo Aung, Emily Austin, Karen Austin, Abdusshakur Auwal, Miriam Avery, Joanne Avis, Georgina Aviss, Cristina Avram, Paula Avram, Gabriel Awadzi, Atia Awan, Aszad Aya, Eman Ayaz, Amanda Ayers, Jawwad Azam, Mohammed Azharuddin, Ghazala Aziz, N Aziz, Ali Azkoul, Ashaari Azman Shah, Giada Azzopardi, Hocine Azzoug, Fiyinfoluwa Babatunde, Melvin Babi, Babiker Babiker, Gayna Babington, Matthew Babirecki, Marta Babores, Adetona O Babs-Osibodu, Sammy Bacciarelli, Roudi Bachar, Gina Bacon, Jenny Bacon, Bibi Badal, Gurpreet R Badhan, Shreya Badhrinarayanan, Joseph P Bae, Sibel Bafekr Mishamandani, Alice Baggaley, Amy Baggott, Graham Bagley, Dinesh Bagmane, Lynsey Bagshaw, Kasra Bahadori, James Bailey, Katie Bailey, Lindsey Bailey, Liz Bailey, Morgan Bailey, Pippa Bailey, Sarah Bailey, Stephen Bailey, Hamish Baillie, J Kenneth Baillie, Jennifer Bain, Sanchia Baines, Vikram Bains, Aimi Baird, David Baird, Susan Baird, Tracy Baird, Yolanda Baird, Aiysha Bajandouh, Charles Baker, Emma Baker, Evelyn Baker, Johanne Baker, Josephine Baker, Kenneth Baker, Rebecca Baker, Terri-Anne Baker, Victoria Baker, Hugh Bakere, Nawar Bakerly, Michelle Baker-Moffatt, Nauman Bakhtiar, Panos Bakoulas, Julie Balaam, Niranjan Balachandran, Andrea Balan, Theodosios Balaskas, Madhu Balasubramaniam, Alison Balcombe, Alexander Baldwin, Ashley Baldwin, Caron Baldwin, Danielle Baldwin, Rebekah Baldwin-Jones, James Balfour, Gagan Bali, Sonya Balkee, Ceri Ball, Kasia Ballard, Amy Ballinger, Ismael Balluz, Craig Balmforth, Emese Balogh, Amir Baluwala, Gabby Bambridge, Alasdair Bamford, Amy Bamford, Peter Bamford, Adefunke Bamgboye, Elizabeth Bancroft, Hollie Bancroft, Tanya Bancroft, Joyce Banda, Krishna Bandaru, Srini Bandi, Nageswar Bandla, Somaditya Bandyopadhyam, Amit Banerjee, Millie Banerjee, Ritwik Banerjee, Harrison Banks, Lauren Banks, Luke Banks, Paul Banks, Oliver Bannister, Bharat Bansal, Robert Banthorpe, Laura Banton, Mariamma Baptist, Tanya Baqai, Ananya Mouli Baral, Desislava Baramova, Alex Barber, Russel Barber, Emma Barbon, Miriam Barbosa, Monica Barbosa, Jamie Barbour, Alexander Barclay, Claire Barclay, George Bardsley, Stephanie Bareford, Shahedal Bari, Amy Barker, Debbie Barker, Helen Barker, Joseph Barker, Leon Barker, Oliver Barker, Kerry Barker-Williams, Sinha Barkha, Juliana Barla, Gavin Barlow, Richard Barlow, Valerie Barlow, James Barnacle, Alex Barnard, Debi Barnes, Nicky Barnes, Theresa Barnes, Calum Barnetson, Amy Barnett, Matthew Barnett, Ashton Barnett-Vanes, William Barnsley, Andrew Barr, David Barr, Shaney Barratt, Manuella Barrera, Amy Barrett, Fiona Barrett, Jessica Barrett, Joe Barry, Jazz Bartholomew, Claire Bartlett, Georgina Bartlett, Greg Barton, Jill Barton, Lorna Barton, Rachael Barton, Rosaleen Baruah, Sonia Baryschpolec, Archana Bashyal, Betsy Basker, Ayten Basoglu, Gilda Bass, John Bassett, G Bassett, Chris Bassford, Pavinder Bassi, Betsy Bassis, Bengisu Bassoy, Victoria Bastion, Anupam Basumatary, Tristan Bate, Harry J Bateman, Ian Bateman, Kathryn Bateman, Vhairi Bateman, Eleanor Bates, Hayley Bates, Michelle Bates, Simon Bates, Sally Batham, Ana Batista, Amit Batla, Dushyant Batra, Donna Batty, Harry Batty, Thomas Batty, Peter Baughan, Miranda Baum, Carina Bautista, Fareha Bawa, Fatima S Bawani, Simon Bax, Lydia Baxter, Matt Baxter, Nicola Baxter, Zachary Baxter, Hannah Bayes, Charlotte Baylem, Lee Bayliss, Eileen Bays, Farid Bazari, Rohit Bazaz, Ahmad Bazli, Laura Beacham, Wendy Beadles, Philip Beak, Andy Beale, Kirk Beard, Jack Bearpark, Karen Beaumont, Dawn Beaumont-Jewell, Theresa Beaver, Sarah Beavis, Christy Beazley, Sarah Beck, Virginia Beckett, Rosie Beckitt, Heidi Beddall, Seonaid Beddows, Deborah Beeby, Gail Beech, Michelle Beecroft, Sally Beer, Jane Beety, Gabriela Bega, Alison Begg, Susan Begg, Sara Beghini, Ayesha Begum, Salman Begum, Selina Begum, Teresa Behan, Jasmine Beharry, Roya Behrouzi, Jon Beishon, Claire Beith, James Belcher, Holly Belfield, Katherine Belfield, Ajay Belgaumkar, Dina Bell, Gareth Bell, Gill Bell, Gillian Bell, Joshua Bell, Lauren Bell, Louise Bell, Nicholas Bell, Pippa Bell, Stephanie Bell, Jennifer L Bell, Jennifer Bellamu, Mary Bellamy, Arianna Bellini, Amanda Bellis, Fionn Bellis, Lesley Bendall, Naveena Benesh, Nicola Benetti, Leonie Benham, Guy Benison-Horner, Alexander Bennett, Ann Bennett, Caroline Bennett, Christopher Bennett, Gillian Bennett, Ian Bennett, Kristopher Bennett, Lorraine Bennett, Sara Bennett, Karen Bennion, Vivienne Benson, Jane Benstead, Andrew Bentley, Dionne Bentley, James Bentley, Ian Benton, Eva Beranova, Matthew Beresford, Colin Bergin, Malin Bergstrom, Jolanta Bernatoniene, Thomas Berriman, Zoe Berry, Marnie Berwick, Kimberley Best, Ans-Mari Bester, Yvonne Beuvink, Emily Bevan, Sarah Bevins, Tom Bewick, Andrew Bexley, Sonay Beyatli, Fenella Beynon, Arjun Bhadi, Sanjay Bhagani, Shiv Bhakta, Rekha Bhalla, Khushpreet Bhandal, Kulbinder Bhandal, Ashwin Bhandari, Sangam Bhandari, Aashutosh Bhanot, Ravina Bhanot, Sruti Bhaskara, Prashanth Bhat, Nikhil Bhatia, Rahul Bhatnagar, Karan Bhatt, Janki Bhayani, Deepika Bhojwani, Salimuzzaman Bhuiyan, Anna Bibby, Fatima Bibi, Naheeda Bibi, Salma Bibi, Tihana Bicanic, Sarah Bidgood, Julie Bigg, Sarah Biggs, Alphonsa Biju, Andras Bikov, Sophie Billingham, Jessica Billings, Carron Bilton, Teodirico Binas, Martin Binney, Alice Binns, Muhammad BinRofaie, Oliver Bintcliffe, Catherine Birch, Jenny Birch, Louann Birch, Janet Birchall, Katherine Birchall, Sam Bird, Sumedha Bird, Charndip Biring, Mark Birt, Raquel Bisa, Kilanalei Bishop, Linda Bishop, Lisa Bishop, Karen Bisnauthsing, Nibedan Biswas, Sahar Biuk, Karen Blachford, Ethel Black, Helen Black, Karen Black, Mairead Black, Polly Black, Hayley Blackgrove, Bethan Blackledge, Joanne Blackler, Samantha Blackley, Helen Blackman, Stuart Blackmore, Caroline Blackstock, Loraine Blackwood, Francesca Blakemore, Helen Blamey, Alison Bland, Sujata Blane, Simon Blankley, Mary Blanton, Parry Blaxill, Jenny Blaxland, Katie Blaylock, Jane Blazeby, Carol Blears, Natalie Blencowe, Donna Blofield, Ben Bloom, Jack Bloomfield, Angela Bloss, Hannah Bloxham, Louise Blundell, Andrew Blunsum, Mark Blunt, Ian Blyth, Kevin Blyth, Andrew Blythe, Karen Blythe, Marilyn Boampoaa, Boniface Bobie, Karen Bobruk, Pritesh Bodalia, Neena Bodasing, Tanya Bodenham, Sherin Bodh, Gabriele Boehmer, Marta Boffito, Kristyna Bohmova, Sumit Bokhandi, Maria Bokhar, Saba Bokhari, Sakina Bokhari, Syed Owais Bokhari, Ambrose Boles, Sarah Bollington, Sam Bolton, Charlotte Bomken, Charlotte Bond, Hayley Bond, Helena Bond, Stuart Bond, Thomas Bond, Alice Bone, Georgia Boniface, Wendy Bonnert, Lizzy Bonney, Leigh Boorman, Catherine Booth, Joanne Borbone, Cameron Borhani, Naomi Borman, Rachel Borrell, Mamu Boshir, Fiona Bottrill, Laura Bough, Hayley Boughton, Zoe Boult, Miriam Bourke, Stephen Bourke, Michelle Bourne, Rachel Bousfield, Lucy Boustred, Darren Bowen, Kaye Bowen, Alexandra Bowes, Amy Bowes, Philip Bowker, Louise Bowman, Simon Bowman, Rachel Bowmer, Angie Bowring, Geoff Bowyer, Helen Bowyer, Carmel Boyd, Jenny Boyd, Laura Boyd, Maxine Boyd, Namoi Boyle, Pauline Boyle, Rosalind Boyle, Louise Boyles, Osman Bozdag, Leanna Brace, David Brack, Charlotte Brackstone, Rob Bradburn, Jodie Bradder, Barry Bradley, Clare Jane Bradley, Pamela Bradley, Patrick Bradley, Paul Bradley, Joanne Bradley-Potts, Lynne Bradshaw, Sarah Bradshaw, Zena Bradshaw, Rebecca Brady, Shirin Brady, Denise Braganza, Suhail Brailsford, Jill Braithwaite, Marie Branch, Thomas Brankin-Frisby, Jamie Brannigan, Louise Brassington, Sophie Brattan, Fiona Bray, Nancy Bray, Angela Brazier, Manny Brazil, Lucy Brear, Tracy Brear, Stephen Brearey, Laura Bremner, Morwenna Brend, Giovanna Bretland, Chris Brewer, Hannah Bridge, Gavin Bridgwood, Hayley Briggs, Mark Briggs, Sara Brigham, John Bright, Chris Brightling, Lutece Brimfield, Elaine Brinkworth, Robin Brittain-Long, Vianne Britten, Terri Brittin, Lauren Broad, Sarah Broad, Rosie Broadhurst, Andrew Broadley, Marie Broadway, Christopher Brockelsby, Megan Brocken, Tomos Brockley, Andrew Broderick, Mary Brodsky, Fiona Brogan, David Broggio, Liz Brohan, Felicity Brokke, Jacob Brolly, David Bromley, Hannah Brooke-Ball, Verity Brooker, Ceri Brookes, Matthew Brookes, Alison Brooks, Karen Brooks, Nicole Brooks, Philip Brooks, Rachel Brooks, Sophie Brooks, Natalie Broomhead, Chloe Broughton, Nathaniel Broughton, Matt Brouns, Marie Browett, Alison Brown, Ammani Brown, Carly Brown, Catrin Brown, Chloe Brown, Elizabeth Brown, Ellen Brown, Heather Brown, Janet Brown, Louise Brown, Niall Brown, Pauline Brown, Rachel Brown, Richard Brown, Robert Brown, Steven Brown, Tom Brown, Wayne Brown, Bria Browne, Charlotte Browne, Duncan Browne, Mitchell Browne, Stephen Brownlee, Alba Brraka, David Bruce, Johanna Bruce, Michelle Bruce, Wojciech Brudlo, Nigel Brunskill, Alan Brunton, Margaret Brunton, Mandy Bryan, Meera Bryant, April Buazon, Maya Buch, Julie Buchan, Ruaridh Buchan, Alexis Buchanan, Ruaridh Buchanan, Danielle Buche, Amanda Buck, Matthew Buckland, Laura Buckley, Philip Buckley, Sarah Buckley, Carol Buckman, Kathleen Buckmire, George Bugg, Ramadan Bujazia, Marwan Bukhari, Shanze Bukhari, Richard Bulbulia, Alex Bull, Damian Bull, Rhian Bull, Thomas Bull, Naomi Bulteel, Kasun Bumunarachchi, Roneleeh Bungue-Tuble, Caroline Burchett, Dorota Burda, Christy Burden, Thomas G Burden, Mika Burgess, Paula Burgess, Richard Burgess, Sophia Burgess, Paula Burgett, Adrian Burman, Sara Burnard, Caroline Burnett, John Burnett, Amanda Burns, Amy Burns, Collette Burns, James Burns, Karen Burns, Samuel Burns, Sarah Burns, Daniel Burrage, Sadie Burrage, Kate Burrows, Claire Burston, Ben Burton, Fiona Burton, Matthew Burton, Angela Busby, Deborah Butcher, Aaron Butler, Jessica Butler, Joanne Butler, Joshua Butler, Lesley Butler, Peter Butler, Susan Butler, Al-Tahoor Butt, Mohammad M Butt, Sophia Butt, Caryl Butterworth, Nicola Butterworth-Cowin, Robert Buttery, Tom Buttle, Heather Button, Daniel Buttress, Jane Byrne, Wendy Byrne, Victoria Byrne-Watts, Eleanor Byworth, Amanda Cabandugama, Ruth Cade, Anthony Cadwgan, Donna Cairney, James Calderwood, Darren Caldow, Moira Caldwell, Giorgio Calisti, Debbie Callaghan, Jennifer Callaghan, Claire Callens, Donaldson Callum, Caroline Calver, Melissa Cambell-Kelly, Tracey Camburn, David R Cameron, Eleanor Cameron, Fraser Cameron, Sarah Cameron, Sheena Cameron, Christian Camm, Renee F D Cammack, Alison Campbell, Amy Campbell, Barbara Campbell, Bridget Campbell, Debbie Campbell, Helen Campbell, Hilary Campbell, Jonathan Campbell, Mark Campbell, Robyn Campbell, Wynny Campbell, Quentin Campbell Hewson, Julie Camsooksai, Ana Canabarro, Lisa Canclini, Shaula Mae Candido, Janie Candlish, Cielito Caneja, Johnathon Cann, Ruby Cannan, Emma Cannon, Michael Cannon, Petra Cannon, Vivienne Cannons, Jane Cantliff, Ben Caplin, Santino Capocci, Noemi Caponi, Angelika Capp, Anne Capps-Jenner, Thomas Capstick, Ishmael Carboo, Nuria Cardenas, Mary Cardwell, Rachel Carey, Simon Carley, Tammy Carlin, Andrew Carlton, Samantha Carmichael, Mandy Carnahan, Rebecca Carnegie, Charlotte Caroline, Emily Carpenter, Jodi Carpenter, David Carr, Sharon Carr, Anna Carrasco, Samantha Carrington, Zoe Carrington, Paul Carroll, Caroline Carron, Anne Carstairs, Jonathan Carter, Michael Carter, Moira Carter, Paul Carter, Penny Carter, Steven Carter, Simon Carter-Graham, Douglas Cartwright, Jo-Anne Cartwright, Claire Carty, Sinead Carty, Jaime Carungcong, Carolyn Carveth-Marshall, Susan Casey, Annie Cassells, Barbara Cassimon, Teresa Castiello, Gail Castle, Bridget Castles, Melanie Caswell, Ana Maria Catana, Heidi Cate, Susanne Cathcart, Katrina Cathie, Christine Catley, Laura Catlow, Matthew Caudwell, Jill Caulfield, Anna Cavazza, Luke Cave, Simon Cavinato, Frianne Cawa, Kathryn Cawley, Chloe Caws, Hankins Cendl, Hannah Century, Jeva Cernova, Mansur Cesay, Ed Cetti, Stephanie Chabane, Manish Chablani, Cathleen Chabo, David Chadwick, Julie Chadwick, Robert Chadwick, Ela Chakkarapani, Arup Chakraborty, Mallinath Chakraborty, Mollika Chakravorty, James Chalmers, Richard Chalmers, Georgina Chamberlain, Sarah Chamberlain, Emma Chambers, Jonathan Chambers, Lucy Chambers, Naomi Chambers, Alex Chan, Carmen Chan, Cheuk Chan, Evelyn Chan, Kayen Chan, Kimberley Chan, Ping Chan, Rebekah (Pui-Ching) Chan, Xin Hui Chan, Chris Chandler, Heidi Chandler, Kim J Chandler, Stuart Chandler, Zoe Chandler, Vikki Chandler-Vizard, Sumit Chandra, Navin Chandran, Badrinathan Chandrasekaran, Cherry Chang, Yvonne Chang, Josephine Chaplin, Graeme Chapman, John Chapman, Katie Chapman, Laura Chapman, Lianne Chapman, Polly Chapman, Timothy Chapman, Lucy Chappell, Linda Chapple, Amanda Charalambou, Bethan Charles, Dianne Charlton, Sally Charlton, Kevin Chatar, Calvin Chatha, Ritesh Chaube, Muhammad YN Chaudhary, Iram Chaudhry, Nazia Chaudhuri, Muhammad Chaudhury, Anoop Chauhan, Ruchi S Chauhan, Vipul Chauhan, Nicola Chavasse, Iknam Chaven, Rosanna Chavez, Vipal Chawla, Maria Cheadle, Lindsay Cheater, James Cheaveau, Charlotte Cheeld, Michelle Cheeseman, Fang Chen, Hui Min Chen, Terence Chen, Lok Yin Cheng, Zhihang Cheng, Helen Chenoweth, Chun How Cheong, Shiney Cherian, Suzanne Cherif, Mary Cherrie, Helen Cheshire, Barry Chesterson, Betty Cheung, Chee Kay Cheung, Elaine Cheung, Michelle Cheung, Claire Cheyne, Swati Chhabra, Wei Ling Chia, Eric Chiang, Angela Chiapparino, Rosavic Chicano, Zviedzo A Chikwanha, Sam Chilcott, Phillipa Chimbo, KokWai Chin, Wen Jie Chin, Rumbidzai Chineka, Amol Chingale, Karen Chinn, Vashira Chiroma, Heather Chisem, Claire Chisenga, Ben Chisnall, Carolyn Chiswick, Sunder Chita, Nihil Chitalia, Matthew Chiu, Brenda Chivima, Catherine Chmiel, Soha Choi, Willy Choon Kon Yune, Vandana Choudhary, Sarah Choudhury, Bing-Lun Chow, Fateha Chowdhury, Mahibbur Chowdhury, Shahid Chowdhury, Victoria Christenssen, Peter Christian, Alexander Christides, Fiona Christie, Daniel Christmas, Thereza Christopherson, Mark Christy, Paris Chrysostomou, Yunli Chua, Shabs Chucha, Dip Chudgar, Richard Chudleigh, Srikanth Chukkambotla, Michael E Chukwu, Izu Chukwulobelu, Chi Y Chung, Ben Church, Elaine Church, Sara R Church, David Churchill, Nicole Cianci, Nick Ciccone, Paola Cicconi, Paola Cinardo, Zdenka Cipinova, Bessie Cipriano, Sarah Clamp, Melanie Clapham, Edel Clare, Sarbjit Clare, Andrew Clark, Charlotte Clark, Diane Clark, Felicity Clark, Gabrielle Clark, James Clark, Katherine Clark, Kaylea Clark, Louise Clark, Lucy Clark, Matthew Clark, Patricia Clark, Richard Clark, Thomas Clark, Wendy Clark, Zoe Clark, Andrea Clarke, Heather Clarke, Mark Clarke, Paul Clarke, Robert Clarke, Roseanne Clarke, Samantha Clarke, Sarah Clarke, Sheron Clarke, Tracy Clarke, Andrew Clarkson, Alleyna Claxton, Kate Clay, Elizabeth Clayton, Olivia Clayton, Jill Clayton-Smith, Chris Cleaver, Carlota Clemente de la Torre, Jayne Clements, Suzanne Clements, Francesca Clemons, Lee Clifford, Lynne Clifford, Rachael Clifford, Sarah Clifford, Amelia Clive, Jonathan Clouston, Samantha Clueit, Andrea Clyne, Michelle Coakley, Peter G L Coakley, Tony Coates, Kathryn Cobain, Alexandra Cochrane, Patricia Cochrane, Maeve Cockerell, Helen Cockerill, Shirley Cocks, Rachel Codling, Adam Coe, Samantha Coetzee, David Coey, Danielle Cohen, Jonathan Cohen, Oliver Cohen, Mike Cohn, Louise Coke, Olutoyin Coker, Nicholas Colbeck, Roghan Colbert, Carol Cole, Esther Cole, Jade Cole, Joby Cole, Julie Cole, Richard Cole, Sue Cole, Garry Coleman, Matt Coleman, Holly Coles, Rebecca Coles, Macleod Colin, Alicia Colino-Acevedo, Julie Colley, Dawn Collier, Heather Collier, Paul Collini, Emma Collins, Jaimie Collins, Joanne Collins, Nicola Collins, Sally Collins, Vicky Collins, Andrew Collinson, Bernadette Collinson, Jennifer Collinson, Matthew Collis, Madeleine Colmar, Hayley E Colton, James Colton, Katie Colville, Carolyn Colvin, Ryan Colwell, Edward Combes, David Comer, Alison Comerford, Mike Comery, Dónal Concannon, Robin Condliffe, Lynne Connell, Natalie Connell, Karen Connelly, Gavin Connolly, Mireille Connolly, Emma Connor, Samantha Conran, Antonia Conroy, Veronica Conteh, Rory Convery, Camilla Conway, Francesca Conway, Grainne Conway, Rhiannon Conway, Jo-Anna Conyngham, Colette Cook, Eloise Cook, Gemma Cook, Helen Cook, Julie Cook, Danielle Cooke, Graham Cooke, Katrina Cooke, Soo Cooke, Tim Cooke, Adele Cooper, Alison Cooper, Chris Cooper, David Cooper, Helen Cooper, Jamie Cooper, Joanne Cooper, Joshua Cooper, Laura Cooper, Lauren Cooper, Nick Cooper, Rowena Cooper, Emma Cooperwaite, Thomas Cope, Sinead Corbet, Carolyn Corbett, John Corcoran, Chris Cordell, Jessica Cordle, Alasdair Corfield, John Corless, Alison Corlett, Joe Cornwell, Michael Cornwell, Diana Corogeanu, Mirella Corredera, Ruth Corrigan, Catherine Corry, Rita Corser, Denise Cosgrove, Tracey Cosier, Patricia Costa, Charlie Coston, Susannah Cotgrove, Zoe Coton, Lisa-Jayne Cottam, Rhiannon Cotter, Donna Cotterill, Alice Cotton, Caroline Cotton, Katy Cotton, Andrew Coull, James Coulson, David Counsell, David Counter, Cherry Coupland, Ellie Courtney, Julia Courtney, Rebecca Cousins, Alexander Cowan, Elena Cowan, Ruth Cowburn, Richard Cowell, Louise Cowen, Steve Cowman, Amanda Cowton, Debra Anne Cox, Ellie Cox, Giles Cox, Karina Cox, Miriam Cox, Karen Coy, Beverly Craig, Victoria Craig, Felicity Craighead, Matthew Cramp, Beverley Crane, Jacolene Crause, Adrian Crawford, Angie Crawford, Emma Crawford, Isobel Crawford, Richard Crawforth, Sarah Crawshaw, Ben Creagh-Brown, Andrew Creamer, Ryan Creighton, Joanne Cremona, Saveria Cremona, Janet Cresswell, Mark Cribb, Charles Crichton, Declan Crilly, Lauren Crisp, Nikki Crisp, Dominic Crocombe, Maria Croft, Ian Cron, Derrick Crook, Jennifer Crooks, Helen Croot, Harriet Crosby, Sarah Cross, Tim Cross, Amy Crothers, Stephen Crotty, Susan Crouch, Madeleine Crow, Amanda Crowder, Kate Crowley, Teresa Crowley, Rebecca Croysdill, Callum Cruickshank, Conor Cruickshank, Irena Cruickshank, James Cruise, Helen Crumley, Carina Cruz, Trino Cruz Cervera, Dominic Cryans, Guanguo Cui, Helen Cui, Donna Cullen, Lorraine Cullen, Gillian Cummings-Fosong, Marie Cundall, Victoria Cunliffe, Lorraine Cunningham, Neil Cunningham, Nicola Cunningham, Jason Cupitt, Hollie Curgenven, Debra Curley, Gerens Curnow, David Curran, Simon Curran, Craig Currie, Jacqueline Currie, Scarlett Currie, Abi Curtis, 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Davies, Ffyon Davies, Helen Davies, James Davies, Jane Davies, Jeni Davies, Jim Davies, Karen Davies, Kelly Davies, Kim Davies, Louisa Davies, Mark Davies, Matthew Davies, Michelle Davies, Nina Davies, Owen Davies, Patrick Davies, Rachel Davies, Rhys Davies, Ruth Davies, Sarah Davies, Simon Davies, Alison Davis, Gwyneth Davis, Illinos Davis, Julie-Ann Davis, Katherine Davis, Peter Davis, Alexander Davison, Sophia Davison, Mark Davy, Christine Dawe, H Dawe, Mark Dawkins, Danielle Dawson, Elizabeth Dawson, Joy Dawson, Susan Dawson, Tom Dawson, Andrew Daxter, Andrew Day, Helena Day, Jacob Day, Jeremy Day, Lynn Day, Jamie D'Costa, Parijat De, Duneesha de Fonseka, Toni de Freitas, Frederico De Santana Miranda, Eleanor de Sausmarez, Shanika de Silva, Thushan de Silva, Jessica De Sousa, Paulo De Sousa, James de Souza, Anthony de Soyza, Natasha de Vere, Johannes de Vos, Bethan Deacon, Sharon Dealing, Anna Dean, Julie Dean, Katrina Dean, Stephen Dean, Tessa Dean, Jill Deane, James Dear, Effie Dearden, Alison Deary, Catherine Deas, Samuel Debbie, Gabor Debreceni, Vashist Deelchand, Matthew Deeley, Joanne Deery, Emmanuel Defever, Raji Dehulia, Max Deighton, Manuela Del Forno, Arnold Dela Rosa, Lisa Delaney, Amanda Dell, Carrie Demetriou, David DeMets, Jane Democratis, Jacqueline Denham, Emmanuelle Denis, Laura Denley, Craig Denmade, Kathy Dent, Martin Dent, Elise Denton, Tom Denwood, Nishigandh Deole, Darshita Depala, Maria Depante, Randle Derbyshire, Susan Dermody, Amisha Desai, Asmita Desai, Purav Desai, Sanjeev Deshpande, Vai Deshpande, Brendan Devine, Sirjana Devkota, Nicola Dewland, Prakash Dey, Vishal Dey, Rogin Deylami, Jazz Dhaliwal, Kevin Dhaliwal, Jas Dhalliwal, Mandeep Dhanda, Sundip Dhani, Amandeep Dhanoa, Mili Dhar, Devesh Dhasmana, Aman Dhesi, Ekanjali Dhillon, Reiss Dhillon, Pamela Diamond, Priya Dias, Stephanie Diaz, Kayleigh Diaz-Pratt, Debbie Dickerson, Pamela Dicks, Stuart Dickson, Julie Dijo, Sean Dillane, Sarah Diment, Paul Dimitri, Maria Dineen, ThaiHa 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Eagles, Joanne Early, Melissa Earwaker, Nicholas Easom, Clare East, Kim East, Amy Easthope, Fraser Easton, Caroline Eaton, Caroline Eaton-Howell, Ruth Eatough, Adrian Ebbs, Oluwadamilola Ebigbola, Daniel Ebner, Martin Ebon, Sinan Eccles, Chloe Eddings, Michael Eddleston, Maureen Edgar, Katharine Edgerley, Nicholas Edmond, Julie Edmonds, Dave Edmondson, Mary Edmondson, Tracy Edmunds, Alexandra Edwards, Catherine Edwards, Joy Edwards, Kennedy Edwards, Mandy Edwards, Tomos Edwards, Jenny Eedle, Dawn Egginton, Loveth Ehiorobo, Sarah Eisen, Ugochukwu Ekeowa, Mohamed Ekoi, Ayomide Ekunola, Soha El Behery, Moulod El-Agnaf, Mohamed Elbeshy, Kate El-Bouzidi, Jennifer Elder, Mohammed El-Din, Diana Eleanor, Ibrahim Eletu, Eman Elfar, Mayy Magdy Elgamal, Amr Elgohary, Stellios Elia, Jennifer Elias, Tania Elias, Nadia Elkaram, Mohammed El-Karim, Andrew Victor Elkins, Julie Ellam, Nikki Ellard, Laura Nicola Ellerton, Lucy Elliot, Amy Elliott, Chris Elliott, Fiona Elliott, Kerry Elliott, Scott Elliott, Toby Elliott, Annie Ellis, Ann-Marie Ellis, Christine Ellis, Kay Ellis, Kaytie Ellis, Tak-Yan Ellis, Yvette Ellis, Megan Ellison, Rahma Elmahdi, Einas Elmahi, Hannah-May Elmasry, Mohammed Elmi, Najla Elndari, Omer Elneima, Mohamed Elokl, Ahmed Elradi, Mohamed Elsaadany, Sally El-Sayeh, Hana El-Sbahi, Tarek Elsefi, Karim El-Shakankery, Robert Elshaw, Hosni El-Taweel, Sarah Elyoussfi, Jonathan Emberey, Jonathan R Emberson, John Emberton, Julian Emmanuel, Ingrid Emmerson, Michael Emms, Florence Emond, Marieke Emonts, Nicu Enachi, Angila Engden, Katy English, Emma Entwistle, Hene Enyi, Marios Erotocritou, Helen Escreet, Peter Eskander, Hanif Esmail, Lise Estcourt, Amy Evans, Brynach Evans, Chris Evans, Daren Evans, Debra Evans, Gail Evans, Gareth Evans, Jennifer Evans, Lisa Evans, Lynn Evans, Margaret Evans, Michelle Evans, Mim Evans, Morgan Evans, Ranoromanana Evans, Ryan Evans, Teriann Evans, Terry John Evans, Tony Eve, Caroline Everden, Serenydd Everden, Hayley Evison, Lynsey Evison, Penny Eyton-Jones, Jacqueline Faccenda, Leila Fahel, Youstina Fahmay, Sara Fairbairn, Terry Fairbairn, Andy Fairclough, Louise Fairlie, Mark Fairweather, Anne Fajardo, Naomi Falcone, Euan Falconer, Jonathan Falconer, John Fallon, Andrea Fallow, David Faluyi, Victoria Fancois, Qayyum Farah, Novin Fard, Amr Farg, Margaret Farinto, Adam Farmer, Katie Farmer, Toni Farmery, Samantha Farnworth, Faiyaz Farook, Hadia Farooq, Sidrah Farooq, Fiona Farquhar, Karen Farrar, Aaron Farrell, Barbara Farrell, James Farthing, Syeda Farzana, Rahmatu Fasina, Azam Fatemi, Mina Fatemi, Nibah Fatimah, Maria Faulkner, Saul N Faust, Joe Fawke, Sinmidele Fawohunre, Abul Fazal, Kelly Feane, Simon Fearby, Alex Feben, Federico Fedel, Daria Fedorova, James Feely-Henderson, Christopher Fegan, Mae Felongco, Lynsey Felton, Tim Felton, Kate Fenlon, Andrea Fenn, Isabelle Fenner, Ciara Fenton, Melisa Fenton, Cameron Ferguson, Jenny Ferguson, Kathryn Ferguson, Katie Ferguson, Stephanie Ferguson, Susan Ferguson, 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Christopher Flood, Ian Floodgate, Vincent Florence, Sharon Floyd, Kelly Flynn, Rachel Flynn, Sara Flynn, Claire Foden, Adama Fofana, Georgina Fogarty, Claire Foley, Paul Foley, Linda Folkes, Daniela Mock Font, Evodian Fonyonga, Aiwyne Foo, Jane Foo, Andrew Foot, Jayne Foot, Jane Forbes, Jamie Ford, Kathy Ford, Jennifer Foreman, Caroline Fornolles, Adam Forrest, Ellie Forsey, Miranda Forsey, Thomas Forshall, Elliot Forster, Julian Forton, Emily Foster, Joseph Foster, Rachel A Foster, Tracy Foster, Theodora Foukanelli, Angela Foulds, Ian Foulds, Folakemi Fowe, Emily Fowler, Robert Fowler, Stephen Fowler, Caroline Fox, Claire Fox, Daniel Fox, Heather Fox, Jonathan Fox, Lauren Fox, Natalie Fox, Olivia Fox, Simon Fox, Sarah-Jane Foxton, Yasin Fozdar, Rebecca Frake, Alex Francioni, Olesya Francis, Rebecca Francis, Sarah Francis, Theodora Francis-Bacon, Jason Frankcam, Helen Frankland, Gayle Franklin, Jessica Franklin, Darron Franks, Catherine Fraser, Laura Fraser, Sharon Frayling, Martyn Fredlund, Matthew Free, Carol Freeman, Elaine Freeman, Hannah Freeman, Nicola Freeman, Clare Freer, Ian Freestone, Eleanor French, Matthew Frise, Renate Fromson, Claire Froneman, Adam Frosh, John Frost, Victoria Frost, Oliver Froud, Rachel Frowd, Arun Fryatt, Jake Fryer, Janet Fu, Bridget Fuller, Liz Fuller, Neil Fuller, Tracy Fuller, Duncan Fullerton, Jenny Fullthorpe, Carrie Fung, Gayle Fung, Sarah Funnell, John Furness, Charlene Furtado, Andrew Fyfe, Nytianandan G, Elizabeth Gabbitas, Claire Gabriel, Diana Gabriel, Hadiza Gachi, Rose Gad, Joshua Gahir, Sarveen Gajebasia, Katarzyna Gajewska-Knapik, Zacharoula Galani, Christopher Gale, Hugo Gale, Rebecca Gale, Swetha Gali, Karen Galilee, Bernadette Gallagher, Jude Gallagher, Rosie Gallagher, William Gallagher, Joanne Galliford, Catherine Galloway, Chris Galloway, Emma Galloway, Jacqui Galloway, James Galloway, Laura Gamble, Liz Gamble, Brian Gammon, Jaikumar Ganapathi, Ramesh Ganapathy, Kaminiben Gandhi, Sarah Gandhi, Usha Ganesh, Abrar Gani, Emma-James Garden, Antoni D Gardener, Emma Gardiner, Jill Gardiner, Michael Gardiner, Phil Gardiner, Siobhan Gardiner, Caroline Gardiner-Hill, Jonathan Gardner, Mark Garfield, Atul Garg, Nathan Garlick, Justin Garner, Lucie Garner, Zoe Garner, Kimberley Garnett, Robert Garney, Rosaline Garr, Michael Garstka, Peter Gartan, Florence Garty, Rachel Gascoyne, Hyeriju Gashau, Noha Gasmalseed, Michaela Gaspar, Aoife Gatenby, Erin Gaughan, Alok Gaurav, Mariana Gavrila, Jane Gaylard, Emma Gaywood, Catherine Geddie, Alison Geddis, Ian Gedge, Sarah Gee, Minerva Gellamucho, Karzan Gelly, Leila Gelmon, Sandra Gelves-Zapata, Gemma Genato, Susan Gent, Natalie Geoghegan, Chloe George, Sam George, Tina George, Simon Georges, Domonique Georgiou, Peter Gerard, Leigh Gerdes, Louise Germain, Helen Gerrish, Abel Getachew, Louise Gethin, Hisham Ghanayem, Amardeep Ghattaoraya, Anca Gherman, Alison Ghosh, Justin Ghosh, Sudhamay Ghosh, Sarra Giannopoulou, Malick Gibani, Andrew Gibb, Ben Gibbison, Kerry Gibbons, Alex Gibson, Bethan Gibson, Kimberley Gibson, Kirsty Gibson, Sian Gibson, Cat Gilbert, Jeanette Gilbert, Joanne Gilbert, Kayleigh Gilbert, Sean Gilchrist, Benjamin Giles, Mandy Gill, Rose Gill, Lynne Gill, Paul Gillen, Annelies Gillesen, Katherine Gillespie, Matt Gillespie, Elizabeth Gillham, Andrew Gillian, Deborah Gilliland, Robert Gillott, Danielle Gilmour, Kate Gilmour, Theodora Giokanini-Royal, Anna Gipson, Joanna Girling, Rhian Gisby, Angelena Gkioni, Aikaterini Gkoritsa, Effrossyni Gkrania-Klotsas, Amy Gladwell, James Glanville, Jessica Glasgow, Susannah Glasgow, Jon Glass, Lynn Glass, Sharon Glaysher, Lisa Gledhill, Ana Glennon, John Glover, Kyle Glover, Jan Glover Bengtsson, Chevanthy Gnanalingam, Julie Goddard, Wendy Goddard, Emily Godden, Jo Godden, Gillian Godding, Emma Godson, Gerry Gogarty, Sukanya Gogoi, Aiky Goh, Rebeca Goiriz, Sriya Gokaraju, Philip Gold, Raphael Goldacre, Arthur Goldsmith, Portia Goldsmith, Darren Gomersall, Lucia Gomez, Raquel Gomez-Marcos, Ali Gondal, Celia Gonzalez, Jack Goodall, Bob Goodenough, Laura Goodfellow, James Goodlife, Camelia Goodwin, Elizabeth Goodwin, Jayne Goodwin, Paula Goodyear, Rajiv Gooentilleke, Sharif Goolam-Hossen, Michelle Goonasekara, Sheila Gooseman, Shameer Gopal, Peter Gordon, Sally Gordon, Hugh Gorick, Caitlin Gorman, Claire Gorman, Stuart Gormely, Diana Gorog, Jan Gorry, Michelle Gorst, Thomas Gorsuch, Jayshreebahen Gosai, Rebecca Gosling, Sally Gosling, Georgina Gosney, Vanessa Goss, Dzintars Gotham, Naomi Gott, Elizabeth Goudie, Amanda Gould, Angela Gould, Susan Gould, Lysander Gourbault, Anna Gouveia, Abha Govind, Sharon Gowans, Girish Gowda, Rohit Gowda, Pauline Gowdy, Hannah Gower, Thomas Gower, Pankaj Goyal, Sunil Goyal, Sushant Goyal, Beverley Graham, Clive Graham, Jane Graham, Jonathan Graham, Justin Graham, Libby Graham, Sharon Graham, Matthew Graham-Brown, Julia Grahamslaw, Gianluca Grana, Tracyanne Grandison, Louis Grandjean, Alison Grant, Ann Grant, David Grant, 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Jennie Hale, Carmel Halevy, Paul Halford, William Halford, Alistair Hall, Anthony Hall, Claire Hall, Elizabeth Hall, Emma Hall, Fiona Hall, Helen Hall, Jennifer Hall, Kathryn Hall, Bill Hall, Jan Hallas, Kyle Hallas, Charles Hallett, Becky-Lee Halls, Heather Halls, Maryam Hamdollah-Zadeh, Bilal Hameed, Imran Hamid, Mohamad Hamie, Bethany Hamilton, Fergus Hamilton, Leigh Hamilton, Nicola Hamilton, Ruth Hamlin, Eleanor Hamlyn, Beatrice Hammans, Shirley Hammersley, Kate Hammerton, Bev Hammond, Leah Hammond, Sara Hammond, Fiona Hammonds, Ibrahim Hamoodi, Karen Hampshire, Elizabeth Hampson, Jude Hampson, Lucy Hampson, Ozan Hanci, Ian Hancock, Sadiyah Hand, Jasmine Handford, Soran Handrean, Sarah Haney, Sheharyar Hanif, E Hanison, Alison Hanlon, Jennifer Hannah, Amy Hannington, Merhej Hannun, Aidan Hanrath, Anita Hanson, Jane Hanson, Kathryn Hanson, Steve Hanson, Helen Hanwell, Mazhar Ul Haq, Ala Haqiqi, Monjurul Haque, Lesley Harden, Zoe Harding, Simon Hardman, Joanna Hardy, Kumar Haresh, Rachel Harford, Beverley Hargadon, Carolyn Hargreaves, Emily Hargreaves, James Hargreaves, Alice Harin, Mohammed Haris, Edward Harlock, Sandra Harlow, Paula Harman, Tracy Harman, Mark Harmer, Muhammad A Haroon, Charlie Harper, Fiona Harper, Heather Harper, Melanie Harper, Peter Harper, Rosemary Harper, Sarah Harrhy, Sian Harrington, Yasmin Harrington-Davies, Jade Harris, Jess Harris, John Harris, Laura Harris, Marie-Clare Harris, Naomi Harris, Nichola Harris, Sophie Harris, Alex Harrison, David Harrison, Julie Harrison, Laura Harrison, Melanie Harrison, Rowan Harrison, Susie Harrison, Thomas Harrison, Wendy Harrison, Elizabeth Harrod, Ciaran Hart, Dominic Hart, Lisa Hartley, Rosemary Hartley, Ruth Hartley, Tom Hartley, William Hartrey, Phillipa Hartridge, Stuart Hartshorn, Heli Harvala, Alice Harvey, Angela Harvey, Max Harvey, Catherine Harwood, Helen Harwood, Brigitte Haselden, Kazi Hashem, Mohammed Hashimm, Tadaaki Hashimoto, Imranullah Hashmi, Sarah Haskins, Zena Haslam, Adil Hassan, Ali Hassan, Wagae UI Hassan, Waqar Ul Hassan, Sapna Hassasing, Jane Hassell, Philip Hassell, Alex Hastings, Bethany Hastings, Janice Hastings, Stephanie Hatch, Jonathan Hatton, Sheryl Haviland, May Havinden-Williams, Stefan Havlik, Daniel B Hawcutt, Kadean Hawes, Liz Hawes, Nicola Hawes, Annie Hawkins, Catherine Hawkins, Nancy Hawkins, Tanya Hawkins, Dan Hawley, Ed Hawley-Jones, Edward Haworth, Cathy Hay, Amna Hayat, Jamal Hayat, Mohamed-Riyal Hayathu, Tamsin Haydon, Anne Hayes, Jonas Hayes, Kate Hayes, Melony Hayes, Vanessa Hayes, Fiona Hayes, Patrick Hayle, Chloe Haylett, Antara Hayman, Melanie Hayman, Matthew Haynes, Richard Haynes, Rachel Hayre, Sarah Haysom, James Hayward, Patrick Haywood, Tracy Hazelton, Phoebe Hazenberg, Zhengmai He, Elizabeth Headon, Carrie Heal, Brendan Healy, Amy Hearn, Angela Heath, Rowan Heath, Diane Heaton, Kerry Hebbron, Gemma Hector, Andy Hedges, Katrine Hedges, Cheryl Heeley, Elaine Heeney, Rajdeep Heire, Ulla Hemmila, Cassie Hemmings, Scott 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Hill, Phoebe Hill, Uta Hill, Annette Hilldrith, Elizabeth Hillerby, Catherine Hillman-Cooper, Elisabeth Hilton, Zoe Hilton, Sarah Hinch, Marcus Hinde, Andrew Hindle, Alice Hindmarsh, Paul Hine, Kim Hinshaw, Clare Hird, Alison Hirst, Jemma Hives, Benson Ho, Michaela Hoare, David Hobden, Gill Hobden, Maria Hobrok, Simon Hobson, Renate Hodge, Simon Hodge, Lesley Hodgen, Holly Hodgkins, Louise Hodgkinson, Sally Hodgkinson, David Hodgson, Helen Hodgson, Luke Hodgson, Sheila Hodgson, Gemma Hodkinson, Kenneth Hodson, Matthew Hogben, Lucy Hogg, Lee Hoggett, Abigail Holborow, Catherine Holbrook, Catherine Holden, Melinda Holden, Thomas Holder, Niels Holdhof, Hannah Holdsworth, Lisa Holland, Maureen Holland, Nicky Holland, Marie Hollands, Elizabeth Holliday, Nina Holling, Gillian Hollis, Laszlo Hollos, Linda Holloway, Simon Holloway, Marcus Hollyer, Amy Holman, Ann Holmes, Benjamin Holmes, Megan Holmes, Raphael Holmes, Rebecca Holmes, Kelly Holroyd, Caroline Holt, Lyndsey Holt, Siobhan Holt, Susie Holt, Alexandra Holyome, Marie Home, Toni Home, Renate Homewood, Kate Hong, Laura Hontoria del Hoyo, Clare Hooper, Sarah Hoosdally, Samantha Hope, Susan Hope, Bridget Hopkins, Peter W Horby, Stephanie Horler, Anil Hormis, Daniel Hornan, Nicola Hornby, Zoey Horne, Latoya Horsford, Megan Horsford, Mark Horsford, Valana Horsham, Alexander Horsley, Ashley Horsley, Elizabeth Horsley, Sarah Horton, Nicola Horton-Turner, Jane Hosea, Toby Hoskins, Muhammad S Hossain, Rashed Hossain, Leanne Hostler, Maxine Hough, Sarah Hough, Brittany Houghton, Catherine Houghton, Iain Houghton, Kathryn Houghton, Rebecca Houlihan, Angela Houston, Hamish Houston, Tawedzegwa Hove, Roseanna Hovvels, Lee How, Laura Howaniec, Laura Howard, Linda Howard, Lucy Howard, Sarah Howard, Stuart Howard, Richard Howard-Griffin, Alison Howarth, Diane Howarth, Serena Howe, Mark Howells, Lyn Howie, Kerry Howlett, Sophie Howlett, Joanne Hoyle, Josh Hrycaiczuk, Naing Zaya Htoon, Su Htwe, Ying Hu, Chiang Ooi Huah Huah, Abby Huckle, Shahzya Huda, Alison Hudak, Lisa Hudig, Alex Hudson, Cara Hudson, Heather Hudson, Peter Hudson, Oli Hudson, Alison Hufton, Connor Huggins, Alistair Hughes, Eithne Hughes, Emma Hughes, Gareth Hughes, Heather Hughes, Luke Hughes, Rachel Hughes, Rebecca Hughes, Samantha Hughes, Stephen Hughes, Vikki Hughes, Wesley Hughes, Lukas Huhn, Ching Hui, Ruth Hulbert, Diana Hull, Grace Hull, Robert Hull, Amanda Hulme, Peter Hulme, Wendy Hulse, George Hulston, Ryan Hum, Laura Humber, Megan Hume, Charlotte Humphrey, Ismay Humphreys, Alasdair Humphries, Joanne Humphries, Lena Hunold, Fiona Hunt, Kristen Hunt, Luke Hunt, Sophie Hunt, Al Hunter, Alexandra Hunter, Isobel Hunter, Karl Hunter, Neil Hunter, George Huntington, Elizabeth Hurditch, Cian Hurley, Katrina Hurley, Mohammed A Husain, Syeda Yusra Husaini, Coralie Huson, Afreen Hussain, Ibraar Hussain, Ifza Hussain, Mohammad Hussain, Muhammad Hussain, Reda Hussain, Sajid Hussain, Samia Hussain, Sanniah Hussain, Wasim Hussain, Yasmin Hussain, Mohammed Hussam El-Din, Raheem Hussein, Rebecca Hussey, Camille Hutchinson, Dorothy Hutchinson, Elizabeth Hutchinson, John Hutchinson, Claire Hutsby, Paula Hutton, Daniella Hydes, Jamie Hyde-Wyatt, Niamh Hynes, Megan Hyslop, Mazen Ibraheim, Abdalla Ibrahim, Ahmed Ibrahim, Asil Ibrahim, Mohamed Ibrahim, Monzeer Ibrahim, Wadah Ibrahim, Adetokunbo I Idowu, Muhammad Idrees, Hina Iftikhar, Mawara Iftikhar, Chukwuemeka Igwe, Mohammad Ijaz, Amaju Ikomi, Clare Iles, Stamatina Iliodromiti, Mary Ilsley, Lorna Ilves, La'ali Imam-Gutierrez, Christopher Imray, Alison Imtiaz, Haider Imtiaz, Claire Ingall, Jack Ingham, Julie Ingham, Rory Ingham, Tejas Ingle, Jennifer Inglis, Anne Ingram, Luke Ingram, Peter Inns, Ken Inweregbu, Andreea A Ionescu, Ana Ionita, Ilian P Iordanov, Anil Ipe, Adil Iqbal, Madiha Iqbal, Mohammed Iqbal, Faisal Iqbal Sait, Jane Ireland, Robert Irons, Mohannad Irshad, Muhammad S Irshad, Janice Irvine, Val Irvine, Pamela Irving, Robert Irving, Mina Ishak, Erica Isherwood, Aminul Islam, Abdurrahman Islim, Ali Ismail, Omar Ismail, Caroline Ison, M'hamedi Israa, Sharon Isralls, Ali Issa, Monica Ivan, Catrina Ivel, Chineze Ivenso, Ashleigh Ivy, Sophie Iwanikiw, Karen Ixer, Menaka Iyer, Mia Iyer, Calum Jack, Amanda Jackson, Anthony Jackson, Ben Jackson, Beth Jackson, Douglas Jackson, Ella Jackson, Hayley Jackson, Helen Jackson, Jane Jackson, Julie Jackson, Karin Jackson, Lauren Jackson, Melanie Jackson, Nicola Jackson, Shane Jackson, Sharon Jackson, Nikita Jacob, Patricia Jacob, Reni Jacob, Nicola Jacques, Terri-Lisa Jacques-Brown, Anisa Jafar, Daniel Jafferji, Ali Jaffery, Chandrashekar Jagadish, Vijay Jagannathan, Sam Jaggard, Mandeep Jagpal, Fernandez R Jaime, Neemisha Jain, Seema Jain, Susan Jain, Sanjay Jaiswal, Danyal Jajbhay, Thomas Jaki, Bintou Jallow, Yusuf Jaly, Sabine Jamal, Zeba Jamal, Yasmin Jameel, Albie James, Christie James, Kate James, Lee James, Linda James, Mark James, Nicholas James, Olivia James, Rebecca James, Ruth James, Tracy James, Jack Jameson, Aaron Jamison, Phoebe Jane, Azara Janmohamed, Sabrina Jansz, Deepa Japp, Lorraine Jappy, Victor Jardim, Catherine Jardine, Emma Jarnell, Ellie Jarvie, Ann Jarvis, Claire Jarvis, Lisa Jarvis, Rosina Jarvis, Patrycja Jastrzebska, Hafsa Javed, Mays Jawad, Lona Jawaheer, Kauky Jawaid, Anu Jayachandran, Dinakaran Jayachandran, Angelina Jayakumar, Deepak Jayaram, Ravi Jayaram, Geeshath Jayasekera, Thilina Jayatilleke, Abi Jayebalan, Saman Jeddi, Vandana Jeebun, Mohammad S Jeelani, Zeynab Jeewa, Emma Jefferson, Katie Jeffery, Helen Jeffrey, Jenni Jeffrey, Rachel Jeffrey, Sue Jeffrey, Nathan Jeffreys, Benjamin Jeffs, Debbie Jegede, Taylor Jemima, Ifan Jenkin, Alison Jenkins, Christopher Jenkins, David Jenkins, Elinor Jenkins, Sarah Jenkins, Sian Jenkins, Stephen Jenkins, Jacqui Jennings, Louise Jennings, Rebecca Jennings, Virginia Jennings, Ellen Jerome, Douglas Jerry, Ellen Jessup-Dunton, Jorge Antonio Jesus Silva, Champa Jetha, Kishan Jethwa, Jeby Jeyachandran, Visuvanathan Jeyakumar, Dharshana Jeyapalan, Shaman Jhanji, Khoo Jian, Zhixin Jiao, Laura Jimenez, Ana Jimenez Gil, Jithin Jith, Teishel Joefield, Navraj Johal, Karine Johannessen, Aisyah Johari, Annie John, Anu John, Navin John, Sarah John, Emma Johns, Margaret Johns, Anne-Marie Johnson, Antoinette Johnson, David Johnson, Emma Johnson, Gillian Johnson, Kathryn Johnson, Katie Johnson, Luke Johnson, Mark Johnson, Nelsonseelan Johnson, Oliver Johnson, Rachel Johnson, Tracy Johnson, Zoe Johnson, Claire Johnston, Janet Johnston, Laura Johnston, Susan Johnston, Victoria Johnston, Dawn Johnstone, Ed Johnstone, Janet Johnstone, Manohar Joishy, Adam Jones, Alistair Jones, Annabel Jones, Ben Jones, Bryony Jones, Carys Jones, Ceri Jones, Charlotte Jones, Christine E Jones, Debra Jones, Emily Jones, Gareth Jones, Geraldine Jones, Hazel Jones, Jac Jones, James Jones, Jamie Jones, Jessica Jones, Jonathon Jones, Julie Jones, Karen Jones, Kate E Jones, Kevin Jones, Laura Jones, Laura M Jones, Lorna Jones, Louise Jones, Mathew Jones, Nicola Jones, Paul Jones, Rhianna Jones, Ruth E Jones, Samantha Jones, Sophie Jones, Stefanie Jones, Steve Jones, Taya Jones, Tim Jones, Tracey Jones, Ramya Jonnalagadda, Rebecca Jordache, Annette Jose, Sanal Jose, Anna Joseph, Joseph Joseph, Rosane Joseph, Sibet Joseph, Dhaara Joshi, Mehul Joshi, Pratichi Joshi, Revati Joshi, Benz Josiah, Tiffany Joyce, Adriel Ju Wen Kwek, Edward Jude, Parminder Judge, Jessica Juhl, Sirisha Jujjavarapu, Mark Juniper, Edmund Juszczak, Deepthi Jyothish, Kasamu Kabiru Dawa, Mark Kacar, Katarina Kacinova, Nikhil Kadam, Rebecca Kahari, Gail Kakoullis, Azad Kala Bhushan, Richard JK Kalayi, Roobala Kaliannan Periyasami, Efthymia Kallistrou, Seika Kalsoom, Elisa Kam, John Kamara, Mohamed Kamara, Ajay Kamath, Prakash Kamath, Ravindra Kamath, Siddharth Arun Kamerkar, Nick Kametas, Musaiwale Kamfose, Arul Kandaswamy, Leia Kane, Osei Kankam, Thogulava Kannan, Abhinav Kant, Vikas Kapil, Ritoo Kapoor, Sonal Kapoor, Sourjya Kar, Janaka Kara, Vasita Kara, Marina Karakantza, Rona Kark, Nicholas Karunaratne, Natashja Kasianczuk, Vidya Kasipandian, Rizwan Kassam, Janarth Kathirgamachelvam, Victoria Katsande, Kulbinder Kaul, Daljit Kaur, Dervinder Kaur, Jasmin Kaur, Jaspreet Kaur, Satvinder Kaur, Zunaira Kausar, Mohammad AA Kawser, Andrea Kay, Sarah Kay, Jossy N Kayappurathu, Callum Kaye, Ahemd Kazeem, Naved Kazi, Sharon Kaznica, Samantha Kearley, Rachel Kearns, Nichola Kearsley, Joanne Keating, John Keating, Liza Keating, Elizabeth Keddie-Gray, Katie Keen, Natalie Keenan, Jonathan Kefas, Stephen Kegg, Laura Keith, Uzoamaka Keke, Tosin Kelani, Joanne Kellett, Jeremy Kellington, Alison Kelly, Conor Kelly, David Kelly, Diane Kelly, Dominic Kelly, Emma Kelly, Laura Kelly, Martin Kelly, Michael Kelly, Rosalind Kelly, Sinead Kelly, Stephen Kelly, Thomas Kelly, Mary Kelly-Baxter, Marketa Keltos, Timothy Kemp, Kelly Kemsley, Alexandra Kendall-Smith, Sarah Kennard, Ann Kennedy, Caroline Kennedy, James Kennedy, Sophie Kennedy-Hay, Julia Kenny, Kelly Kent, Melanie Kent, Lynne Keogan, Alexander Keough, Clement Kerlin, A Kerr, Andrew Kerr, Maria Kerr, Caroline Kerrison, Anthony Kerry, Samantha Kershaw, Helen Kerslake, Ian Kerslake, Helen Kerss, Jocelyn Keshet-Price, Margaret Kevern, Georgina Keyte, Abdul Khadar, Ali Khalid, Muhammad U Khalid, Syed Khalid, Amir Khalil, Asma Khalil, Sijjad Khalil, Abubakar Khan, Ali Khan, Al-Imran Khan, Arham Khan, Asad Khan, Aurangzeb Khan, Burhan Khan, Camran Khan, Fatimah Khan, Kausik Khan, Malik Aamaz Khan, Marria Khan, Mehrunnisha Khan, Mohammad Khan, Mohammed Khan, Nayeem Khan, Omar Khan, Rahe Khan, Rahila Khan, Sabiya Khan, Shabana Khan, Shahul Khan, Shoaib Khan, Tasaduksultan Khan, Waseem Khan, Usman F Khatana, Jibran Khatri, Jyoti Khatri, Hafiza Khatun, Taslima Khatun, Mena Kheia, Jacyntha Khera, Htet Ei Khin, Najaf Khoja, Kiran Khokhar, Jayne Khorsandi, Chloe Khurana, Faith Kibutu, Andrew Kidd, Michelle Kidd, Joe Kidney, Shane Kidney, Will Kieffer, James Kilbane, Caroline Kilby, 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Korcierz, James Korolewicz, George Koshy, Chris Kosmidis, Jalpa Kotecha, Easwari Kothandaraman, Leonidas Koukouflis, Koushan Kouranloo, Rukhsana Kousar'c, Margarita Kousteni, Maja Kovac, Alex Kozak Eskenazia, Kestutis Krasauskas, Raghu Krishnamurthy, Vinodh Krishnamurthy, Manju Krishnan, Hari Krishnan, Suzanne Krizak, Sean Krupej, Agnieszka Kubisz-Pudelko, Soren Kudsk-Iversen, Aurimas Kudzinskas, Chirag Kukadiya, Nainesha Kulkarni, Aditi Kumar, Mayur Kumar, Ramesh Kumar, Ravi Kumar, Rita Kumar, Rupa Kumar, Satish Kumar, Vimal Kumar, Arun Kundu, Heinke Kunst, Amit Kurani, Mohammed Kurdy, Rincy Kurian, Vimal Kurmars, Cameron Kuronen-Stewart, Ranganai S Kusangaya, Vlad Kushakovsky, Mandy Kuunal, Apexa Kuverji, Amma Kyei-Mensah, Thyra Kyere-Diabour, Moe Kyi, Nyan M Kyi, Laura Kyle, Karali-Tsilimpari Kyriaki, Julius Labao, Louise Lacey, Nikki Lack, Emma Ladlow, Heather Lafferty, Shondipon Laha, Sushil Lahane, Clement Lai, James Lai, Emma Laing, Robert Laing, Inez Laing-Faiers, Emily Laity, Michelle Lake, Nicki Lakeman, David Lalloo, Fiona Lalloo, Alison Lam, Fiona Lamb, Lucy Lamb, Thomas Lamb, Nick Lambe, Pauline Lambert, Claudia Lameirinhas, Mohammed KG Lami, Abigail Lamikanra, Holly Lamont, Michal Lamparski, Djillali Lamrani, Christine Lanaghan, Rebecca Lanaway, Ivone Lancona-Malcolm, Julia Lancut, Geraldine Landers, Martin J Landray, Matthew Lane, Nicholas Lane, Alidih Lang, Stephen Lang, Daniel Langer, Margaret Langley, Charles Langoya, Emily Langthorne, Taiya Large, Wojciech Lason, Anna Last, Scott Latham, John Latham-Mollart, Afzal Latheef, Darren Latimer, Nang Latt, Carly-Jane Lattimore, Dawn Lau, Eva Lau, Myra Laurenson, Hou Law, Jennifer Law, Jessica Law, Penny Law, Richard Law, Colin Lawler, Mark Lawley, Emma Lawrence, Jo Lawrence, Neil Lawrence, Ryan Lawrie, Jemima Lawson, Joanne Lawson, Louise Lawson, Rebecca Lawton, Michael Lay, Christine Laycock, Reina Layug, Maria Lazo, Vietland Le, Amelia Lea, William Lea, Ian Leadbitter, Thomas Leahy, Richard Lean, Lorna Leandro, Darren Leaning, Sandra Leason, Christina Leaver, Marie Anne Ledingham, Emma Lee, Hannah Lee, Irish Lee, Judith Lee, Sam Lee, Shi Han Lee, Simon Lee, Sindy Lee, Stephanie Lee, Tracey Lee, Xiang Lee, Diana Lees, Jennifer Lees, Helen Legge, Julian Leggett, Katie Leigh-Ellis, Kevan Leighton, Nicky Leitch, Eleni Lekoudis, Petula Lemessy, Nicholas Lemoine, Joana Lemos, Irina Lenchuk, Katy Leng, Katrina Lennon, Liz Lennon, Isabel Lentell, Kelly Leonard, Wen Leong, Nicky Leopold, Oskar Lepiarczyk, Isla Leslie, Eleni Lester, Joe Leung, Ullrich Leuschner, Emma Levell, Chris Levett, Alice Lewin, Michaela Lewin, Alison Lewis, David Lewis, Dee Lewis, Georgina Lewis, Gillian Lewis, Joanne Lewis, Joseph Lewis, Kathryn Lewis, Keir Lewis, Leon Lewis, Lisa Lewis, Marissa Lewis, Rob Lewis, Robert Lewis, Catherine Lewis-Clarke, Lorraine Lewis-Prosser, Katherine Lewiston, Adam Lewszuk, Penny Lewthwaite, Samantha Ley, Anna Li, Jenny Li, Angela Liao, Victoria Licence, David Lieberman, Susan 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Kaatje Lomme, Emily London, Gabriella Long, Natalie Long, Bev Longhurst, Mark Longshaw, Jennifer Lonnen, Caroline Lonsdale, Laura Looby, Ronda Loosley, Paola Lopez, Paula Lopez, Robert Lord, Stuart Lord, Laura Lordache, Kieron Loregnard, Catherine Lorenzen, Claire Lorimer, Francesco Loro, Rachel Lorusso, Eva Loutraris, Robert Loveless, Maxine Lovell, Angeliki Loverdou, Huw Lovett, Daniel Loveys, Andrew Low, Jen Mae Low, Alastair Lowe, Caroline Lowe, Catherine Lowe, Emily Lowe, Faye Lowe, Michael Lowe, Linda Lowrey, Richard Lowsby, Vicki Lowthorpe, Emma Loxley, Gamu Lubimbi, Alexandra Lubina Solomon, Georgia Lucas, Jacob Lucas, Alice Lucey, Olivia Lucey, Suzanne Luck, H Luke, Jane Luke, Hayley Lund, Apurva Lunia, Muriel Lunn, Ji Luo, Julia Lussier, Cindy Nisha Luximon, Elisa Ly, Barrie Lyell, Elisavet Lyka, Sarah Lymn, Audrey Lynas, Ceri Lynch, Daniel Lynch, Daniella Lynch, Stephen Lynch, Helen Lyon, Rea-Grace Maamari, Hannah Mabb, Louies Mabelin, Jessica Macaro, Angela Macauley, Kateryna Macconaill, Chloe Macdonald, Stuart MacDonald, Tania MacDonald, Claire Macfadyen, James G Macfarlane, Jill Macfarlane, Laura Macfarlane, Cara MacGuigan, Lisa MacInnes, Iain MacIntyre, Jill MacIntyre, Kirsten Mack, Callum Mackay, Euan Mackay, Laura Mackay, Alexander Mackenzie, Matt Mackenzie, Robert MacKenzie Ross, Ami Mackey, Patricia Mackey, Fiona Mackie, Robert Mackie, Carolyn Mackinlay, Claire Mackintosh, Katherine Mackintosh, Sheila MacLennan, Mary Joan MacLeod, Michael Macmahon, Andrew MacNair, Catherine Macphee, Iain Macpherson, Catriona Macrae, Allan MacRaild, Eilidh MacVean, Alannah Madden, Mary Madden, Norman Madeja, Karen Madgwick, Pradeep Madhivathanan, Madhavi Madhusudhana, Harriet Madiyiko, Alpha Madu, Lorraine Madziva, Marion Mafham, Nick Magee, Frederick Magezi, Tim Maggs, Negar Maghsoodi, Christopher Magier, Marios Magriplis, Kathryn Maguire, Natasha Mahabir, Subramanian Mahadevan-Bava, Anjanie Maharajh, Ajit Mahaveer, Bal Mahay, Kanta Mahay, Hibo Mahdi, 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Margarit, Georgios Margaritopoulos, Mike Margarson, Fernandez M Maria del Rocio, Teresa Maria Pfyl, Victor Mariano, Helen Maria-Osborn, Ashleigh Maric, Grace Markham, John Markham, Maria Marks, Pamela Marks, Elisabeth Marouzet, Arran Marriott, Cheryl Marriott, Nemonie Marriott, Brian Marsden, Karen Marsden, Paul Marsden, Sarah Marsden, Tracy Marsden, Robyn Marsh, Adam Marshall, Andrew Marshall, Gail Marshall, Henry Marshall, Jaimie Marshall, James Marshall, Jenna Marshall, Nicola Marshall, Riley Marshall, Jennifer Marshall, Samantha Marston, Emmeline Martin, Hayley Martin, Hope Martin, Jane Martin, Karen Martin, Kate Martin, Laila Martin, Michael Martin, Noelia Martin, Tim Martin, Winston Martin, Sarah Martin, Tim Martindale, Marcus Martineau, Alexander Martinez, Lauren Martinez, Jose Carlos Martinez Garrido, Juan Martin-Lazaro, Olivia Martins, Lucas Martins Ferreira, Vijay Kumar Maruthamuthu, Gemma Maryan, Roman Mary-Genetu, Sam Maryosh, Vidan Masani, Diego Maseda, Sheila Mashate, Yasaman Mashhoudi, Al Mashta, Izhaq Masih, Sanna Masih, Nick Maskell, Perry Maskell, Matthew Masoli, Lynn Mason, Rebecca Mason, Richard Mason, Ruth Mason, Claire Mason, Mohammad Masood, Mohammad T Masood, Syed Masood, Syed SME Masood, Aaqib Masud, Lear Matapure, Cristina Matei, Ropafadzo Matewe, Manraj Matharu, Stephy Mathen, Alex Mather, Nicole Mather, Jonathan Mathers, Joanna Matheson, Amal Mathew, Anna Mathew, Moncy Mathew, Verghese Mathew, Caroline Mathews, Jesha Mathews, Kate Mathias, Marion Mathie, Darwin Matila, Wadzanai Matimba-Mupaya, Nashaba Matin, Elina Matisa, Max Matonhodze, Elijah Matovu, Jaysankar Mattappillil, Alison J Matthews, Heather Matthews, Helen Matthews, Sue Matthews, Gwynn Matthias, Fiona Maxton, Adam Maxwell, Gemma Maxwell, Veronica Maxwell, James May, Joanne May, Oliver May, Philippa May, Irving Mayanagao, Matthew Maycock, Graham Mayers, Lee Maynard, Shelley Mayor, Ibreaheim Mazen, Andrea Mazzella, Nyambura Mburu, Mercy Mbwembwe, Martyn McAdam, Eleanor 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Noorann Sheikh, Laura Sheldon, Benjamin Shelley, Sarah Shelton, Anil Shenoy, Julie Shenton, Amy Shepherd, Kate Shepherd, Lorna Shepherd, Scott Shepherd, Rhian Sheppeard, Helen Sheridan, Ray Sheridan, Samuel Sherridan, Leanne Sherris, Susanna Sherwin, Shaad Shibly, Roger Shiers, Chiaki Shioi, Anand Shirgaonkar, Kim Shirley, Adebusola Shonubi, Angela Short, Richard Shortland, Rob Shortman, Rohan Shotton, Sarah Shotton, Ervin Shpuza, Nora Shrestha, Karen Shuker, Jack Shurmer, Gilbert Siame, Loria Siamia, Zanele Sibanda, Claire Sidaway, Seshnag Siddavaram, Nasir Siddique, Sohail Siddique, Nyma Sikondari, Claudia Silva Moniz, Mike Silverstone, Malcolm Sim, Theresa Simangan, Vimbai Simbi, Robert Sime, Oliver Simmons, Richard Simms, Merritt Simon, Natalie Simon, Angela Simpson, Anna Simpson, Danny Simpson, Georgina Simpson, Joanne Simpson, John Simpson, Kerry Simpson, Phillip Simpson, Thomas Simpson, Andrew Simpson, Kathryn Simpson, Cindy Sing, Ankita Singh, Claire Singh, Jayaprakash Singh, Jyoti Singh, Lokeshwar Singh, Manjeet Singh, Nadira Singh, Pankaj Singh, Prabhsimran Singh, Salil Singh, Saurabh Singh, Parag Singhal, Bryan Singizi, Manas Sinha, Utkarsh Sinha, Guy Sisson, Sarah Sithiravel, Karthikadevi Sivakumar, Shanmugasundaram Sivakumar, Darsh Sivakumran, Sivanthi Sivanadarajah, Pasupathy-Rajah Sivasothy, Rebecca Sivers, Alison Sivyer, Nicole Skehan, Robert Skelly, Orlagh Skelton, Imogen Skene, Michael J Skill, Denise Skinner, Tabitha Skinner, Victoria Skinner, Agnieszka Skorko, Iwona Skorupinska, Mariola Skorupinska, Amy Slack, Katie Slack, Wendy Slack, Heather Slade, Helen Slade, Mark Slade, Helen Slater, Lynda Slater, Nicola Slawson, Andrew Sloan, Brendan Sloan, Derek Sloan, Geraldine Sloane, Benjamin Small, Ellen Small, Emma Small, Samuel Small, Karen D Smallshaw, Andy Smallwood, Carien Smit, Aileen Smith, Alex Smith, Amanda Smith, Amy Smith, Andrew Smith, Anna Smith, Camilla Smith, Catherine Smith, Chris Smith, Christopher Smith, Dominic Smith, Eleanor Smith, Harriet Smith, Hazel Smith, Helen Smith, Jacky Smith, Janice Smith, Jessica Smith, Juliet Smith, Karen Smith, Kate Smith, Kathryn Smith, Katie Smith, Kelly Smith, Kerry Smith, Lara Smith, Linda Smith, Lisa Smith, Loren Smith, Maria Smith, Mel Smith, Oliver Smith, Rachel Smith, Rebecca Smith, Richard Smith, Ruth Smith, Sally Smith, Samantha Smith, Stacey Smith, Stephanie Smith, Susan Smith, Imogen Smith, John Smith, Gemma Smithson, Sue Smolen, Sara Smuts, Naoise Smyth, Annette Snell, David Snell, Luke Snell, Beng So, Michelle Soan, Toluleyi Sobande, Alberto Sobrino Diaz, Basit Sohail, Bina Sohail, Herminder Sohal, Roy Soiza, Mary Sokolowski, Olajumoke Solademi, Krishma Solanki, Babak Soleimani, Amanda Solesbury, Reanne Solly, Louise Solomon, Subash Somalanka, Chandrashekaraiah Somashekar, Raj Sonia, Shiu-Ching Soo, Deepti Sood, Pavandeep Soor, Germanda Soothill, Jennifer Soren, Youssef Sorour, Apina Sothinathan, Pragalathan Sothirajah, Najwa Soussi, Donna Southam, David Southern, Iain Southern, Louise Southern, Sara M Southin, Jessica Southwell, Thomas Southworth, Jason Sowter, Claudia Spalding, Enti Spata, Katie Spears, Mark Spears, John Spence, Michelle Spence, Branwell Spencer, Gisele Spencer, Sue Spencer, Tom Spencer, Helen Spicer, Rose Spicer, Helen Spickett, Jennifer Spillane, William Spiller, Kerry Spinks, Michelle Spinks, Nick Spittle, Johanna Sporrer, Karen Spreckley, Janet Spriggs, Oliver Spring, Scott Springworth, Gemma Squires, Jack Squires, Rebecca Squires, Ram Sreenivasan, K Sri Paranthamen, Ramesh Srinivasan, Asha Srirajamadhuveeti, Vino Srirathan, Chloe Stacey, Sybil Stacpoole, Louise Stadon, Tony Staincliffe, Jocasta Staines, Nikki Staines, Katie Stammers, Roxana Stanciu, Grazyna Stanczuk, Helen Stannard, Edward Stanton, Robyn Staples, Simon Stapley, Natalie Staplin, Adam Stark, Michelle Starr, Julie Staves, Rached Stead, Anthea Steel, Charlotte Steel, Conor Steele, John Steer, Vergnano Stefania, Paula Stefanowska, Katie Steinert, Caroline Stemp, Alison Stephens, David Stephensen, Elaine Stephenson, Monique Sterrenburg, Georgia Stevens, Guy Stevens, Melanie Stevens, Will Stevens, Amy Stevenson, Andrew Stevenson, Elaine Stevenson, Lesley Stevenson, Sarah Stevenson, Amanda Stewart, Claire Stewart, Colin Stewart, McKenna Stewart, Rachel Stewart, Rebecca Stewart, Richard Stewart, Jo Stickley, Gemma Stiller, Robert Stirk, Sarah Stirrup, Sarah Stock, Alexander Stockdale, Lynne Stockham, Paul Stockton, Emma Stoddard, Chris Stokes, Ben Stone, Roisin Stone, Sarah Stone, Imogen Storey, Kim Storton, Frederick Stourton, Angela Strachan, Catherine Strait, Ellen Strakosch, Emma Stratton, Jane Stratton, Sam Straw, Luke Streeter, Dieter Streit, Emma Stride, Sally Stringer, Sophia Strong-Sheldrake, Siske Struik, Carmel Stuart, Anna Stubbs, Harrison Stubbs, Ann Sturdy, Sharon Sturney, Matt Stuttard, Cristina Suarez, Karuna Subba, Christian P Subbe, Manjula Subramanian, Venkatram Subramanian, Chinari Subudhi, Rebecca Suckling, Srivatsan Sudershan, Lee Sudlow, Gayle Sugden, Peter Sugden, Rudresh Sukla, Ali Suliman, Fatimah Suliman, Ian Sullivan, Sugrah Sultan, Jennifer Summers, Mark Summerton, Samyukta Sundar, Reka Sundhar, Edmond Sung, Nadia Sunni, Jay Suntharalingam, Amitava Sur, Dharmic Suresh, Shilpa Suresh, Rachel Suri, Michael Surtees, Danielle Suter, Helen Sutherland, Rachel Sutherland, Rebecca Sutherland, Dovile Sutinyte, Deborah Sutton, John Sutton, Sam Sutton, Mihaela Sutu, Marie-Louise Svensson, Sima Svirpliene, Andrew Swain, Thomas Swaine, Christopher Swales, Lorna Swan, Nicola Swarbrick, Tirion Swart, Stephen Sweetman, Samaher Sweity, Ealish Swift, Paul Swift, Pauline Swift, Peter Swift, Rachael Swift, Rachel Swingler, Sophie Swinhoe, Katarzyna Swist-Szulik, Luke Swithenbank, Omair Syed, Catriona Sykes, Daisy Sykes, Eliot Sykes, Luke Sylvester, Dominic Symon, Andrew Syndercombe, Zoe Syrimi, Jen Syson, Gemma Szabo, Tamas Szakmany, Megan Szekely, Matthew Szeto, Maria Tadros, Amr Tageldin, Lucy Tague, Hasan Tahir, Muhammad Tahir, Silvia Taibo, Zsofia Takats, Abigail Takyi, Peter Talbot, Alison Talbot -Smith, James Talbot-Ponsonby, Richard Tallent, Bradley Tallon, Phoebe Tamblin-Hopper, Adrian Tan, Bee T Tan, Hock Tan, Huey Tan, Jade Tan, Keith Tan, WeiTeen Tan, Anand Tana, Xiaohui Tang, Christina Tanney, Tabitha Tanqueray, Emma Tanton, Ran Tao, Mark Taplin, Hayley Tarft, Priyal Taribagil, Obaid Tarin, Syed Tariq, Zeeshan Tariq, David Tarpey, Lisa Tarrant, Antonia Tasiou, Elizabeth Tatam, Margaret L Tate, Kate Tatham, Vera Tavoukjian, Alexander Taylor, Beverley Taylor, Brian Taylor, Charlie Taylor, Charlotte Taylor, David Taylor, Elisabeth Taylor, Janet Taylor, Jennifer Taylor, Joanne Taylor, Julie Taylor, Karen Taylor, Leanne Taylor, Margaret Taylor, Matthew Taylor, Melanie Taylor, Natalie Taylor, Rachael Taylor, Rachel Taylor, Samantha Taylor, Suzanne Taylor, Tina Taylor, Tracey Taylor, Vicky Taylor, Michelle Taylor-Siddons, Thomas Taynton, Amelia Te, Jessica Teasdale, Julie Tebbutt, Caroline Tee, Rajni Tejwani, Seble Tekle, Adam Telfer, Vibha Teli, Jennifer Tempany, Holly Templar, Julie Temple, Natalie Temple, Helen Tench, Yi He Teoh, Lynne Terrett, Louise Terry, Abbi Tervit, Dariusz Tetla, Kate Tettmar, Shirish Tewari, Daniel Tewkesbury, Joana Texeira, ChiaLing Tey, Clare Thakker, Manish Thakker, Amirtharajh Tharmakulasingam, Hilary Thatcher, Andrew Thayanandan, Krishna Thazhatheyil, Eaint Thein, Lambrini Theocharidou, Phyu Thet, Kapeendran Thevarajah, Mayooran Thevendra, Nang Thiri Phoo, Yvette Thirlwall, Muthu Thirumaran, Alice Thomas, Andrew Thomas, Caradog Thomas, Emma Thomas, Enson Thomas, Esther Thomas, Hannah Thomas, Helen Thomas, James Thomas, Karen Thomas, Koshy Thomas, Lucy Thomas, Rachel Thomas, Rebecca Thomas, Rhys Thomas, Ruth Thomas, Samantha Thomas, Sarah Thomas, Sherine Thomas, Tessy Thomas, Vicky Thomas, Rhian Thomas-Turner, Samantha Thomas-Wright, Catherine Thompson, Christopher Thompson, Clara Thompson, Fiona Thompson, Katharine Thompson, Laura Thompson, Liz Thompson, Luke Thompson, Michael Thompson, Orla Thompson, Rebecca Thompson, Roger Thompson, Trevor Thompson, Usilla Thompson, Nicola Thomson, Natasha Thorn, Charlotte Thorne, Nicola Thorne, Wendy Thorne, Jim Thornton, Michael Thornton, Richard Thornton, Sara Thornton, Susan Thornton, Thomas Thornton, Tracey Thornton, Allison Thorpe, Christopher Thorpe, Sarah Thorpe, Paradeep Thozthumparambil, Laura Thrasyvoulou, Hannah Thraves, Elisha Thuesday, Vicky Thwaiotes, Guy Thwaites, Simon Tiberi, Jane Tidman, Serena Tieger, Carey Tierney, Caroline Tierney, Mark Tighe, Sorrell Tilbey, Amanda Tiller, John Timerick, Elizabeth Timlick, Alison Timmis, Hayley Timms, Anne-Marie Timoroksa, Samakomva Tinashe, Heather Tinkler, Marianne Tinkler, Jacqui Tipper, Helen Tivenan, Helen T-Michael, Anne Todd, Jackie Todd, Stacy Todd, Mohamed Tohfa, Helena Tollick, Melanie Tolson, Ana Luisa Tomas, Natalia Tomasova, Sharon Tomlin, Simon Tomlins, Jo Tomlinson, James Tonkin, Ivan Tonna, Catherine Toohey, Kirsty Topham, Mathew Topping, Ruhaif Tousis, Peter Tovey, Gareth Towersey, Jason Towler, Jill Townley, Alain Townsend, Chris Townsend, Richard Tozer, Claire Tranter, Helen Tranter, Jonathan Trattles, Christopher Travill, Sarah Traynor, Karis Treuberg, Mike Trevett, Ascanio Tridente, Sanchia Triggs, Fiona Trim, Thomas Trimble, Alex Trimmings, Tom Trinick, Sven Troedson, Emily Tropman, Amy Trotter, Madeleine Trowsdale Stannard, Nigel Trudgill, Maria Truslove, Shaun Trussell, Tariq Trussell, Sara Tryon, Kyriaki Tsakiridou, Christine Tsang, Hoi Pat Tsang, Peter Tsang, Tan Tsawayo, Kyriaki Karali Tsilimpari, Georgios Tsinaslanidis, Simon Tso, Sally Tucker, Victoria Tuckley, Caroline Tuckwell, Aisha Tufail, Redmond Tully, Grace Tunesi, Saidat Turawa, Killiam Turbitt, Anna Turco, Krystyna Turek, Rezon Turel, Tolga Turgut, Claudia Turley, Alison Turnbull, Aine Turner, Ash Turner, Charlotte Turner, David Turner, Frances Turner, Gail Turner, Kate Turner, Kelly Turner, Louise Turner, Lucy Turner, Marc Turner, Mark Turner, Patricia Turner, Ruth Turner, Sally Turner, Samantha Turner, Susan Turner, Victoria Turner, Sharon Turney, Jon Turvey, Conor Tweed, David Tweed, Rebecca Twemlow, Emma Twohey, Bhavya Tyagi, Vedang Tyagi, Abigail Tyer, Jayne Tyler, Jennifer Tyler, Alison Tyzack, Petros Tzavaras, Mohammad S Uddin, Ruhama Uddin, Ruzena Uddin, Salamat Ullah, Sana Ullah, Sanda Ullah, Athavan Umaipalan, Judith Umeadi, Akudo Umeh, Wilfred Umeojiako, Ben Ummat, Charlotte Underwood, Jonathan Underwood, Laura Unitt, Adam Unsworth, Jasvinder Uppal, Veerpal S Uppal, James Uprichard, Gerry Upson, Masood Ur Rasool, Alison Uriel, Sebastian Urruela, Hiromi Uru, Miranda Usher, Rebecca Usher, Alex UsherRea, Andrew Ustianowski, Jane Uttley, Linda C Vaccari, Uddhav Vaghela, Abhay Vaidya, Bernardas Valecka, Jennifer Valentine, Balan Valeria, Pramodh Vallabhaneni, Pedro Valle Vallines, Luke Vamplew, Ekaterini Vamvakiti, Joannis Vamvakopoulos, Maud van de Venne, Alex van der Meer, Nora van der Stelt, Joseph Vance-Daniel, Rama Vancheeswaran, Caryn Vander Riet, Samuel I Vandeyoon, Padma Vankayalapati, Piyush Vanmali, Chloe Vansomeren, William Van't Hoff, Sejal Vara, Kate Vardigans, Stehen J Vardy, Anu Varghese, Maria Varghese, William Varney, Giulia Varnier, Valeria Vasadi, Olivia Vass, Vimal Vasu, Vasanthi Vasudevan, Manu Vatish, Heloyes Vayalaman, Christopher Vaz, Niki Veale, Sachuda Veerasamy, Bar Velan, Swati Velankar, Luxmi Velauthar, Neyme Veli, Nicola Vella, Anitha Velusamy, Ian Venables, Mavi Venditti, David Veniard, Ramya Venkataramakrishnan, Richard Venn, Robert Venn, Lyn Ventilacion, Joanne Vere, Mark Veres, Stefania Vergnano, Will Verling, Amit Verma, Rachel Vernall, Britney Vernon, Mark Vertue, Jerik Verula, Natalie Vethanayagam, Lucy Veys, Carinna Vickers, Saji Victor, Jennifer Vidler, Wayne Vietri, Bavithra Vijayakumar, Vinod Warrier Vijayaraghavan Nalini, Brigita Vilcinskaite, Neringa Vilimiene, Sudharkar Vimalanathan, Lynn Vinall, Sylvia Vinay, Latha Vinayakarao, Rachel Vincent, Rosie Vincent, Pritpal Virdee, Emma Virgilio, Abdullah M Virk, Elisa Visentin, Jeyakumar Visuvanathan, Karunakaran Vithian, Sorice Vittoria, Elena Vlad, Ben Vlies, Alain Vuylsteke, Eleftheria Vyras, Richard Wach, Beverley Wadams, Susan Wadd, Natalia Waddington, Kirsten Wadsworth, Syed EI Wafa, Daniel Wagstaff, Lynda Wagstaff, Dalia Wahab, Zaroug Wahbi, Abiodun Waheed Adigun, Sawan Waidyanatha, Rachel Wake, Alice Wakefield, William Wakeford, Michelle Wakelin, Fiona Wakinshaw, Andrew Walden, Jane Walden, Lorna Walding, Alexandria Waldron, Gemma Walker, Harriet Walker, Ian Walker, Jasmine Walker, Kevin Walker, Kim Walker, Linda Walker, Marie T Walker, Olivia Walker, Rachel Walker, Rebecca Walker, Susan Walker, Derek Wallbank, Rebecca Wallbutton, Jessica Wallen, Karl Wallendszus, Arabella Waller, Fiona Waller, Rosemary Waller, Gabiel Wallis, Gabriel Wallis, Louise Wallis, Donna Walsh, Elizabeth Walsh, Livia Walsh, Deborah Walstow, Daniel Walter, Alex Walters, Holt Walters, James Walters, Jocelyn Walters, Eileen Walton, Lucy Walton, Olivia Walton, Sharon Walton, Susan Walton, Mandy Wan, Thin Wan, Mary Wands, Rachel Wane, Frank Wang, Nick Wang, Ran Wang, Deborah Warbrick, Samantha Warburton, Deborah Ward, Emma Ward, Joanna Ward, Karen Ward, Luke Ward, Nicola Ward, Rachael Ward, Rebecca Ward, Thomas Ward, Tom Ward, Scott A Warden, Adele Wardle, Karen Wardle, Steve Wardle, Hassan Wardy, Scott Waring, Jenny Warmington, Ben Warner, Christian Warner, Lewis Warnock, Sarah Warran, Jade Warren, Lisa Warren, Yolanda Warren, Hannah Warren-Miell, Gill Warwick, Charlotte Washington, Helen Wassall, Hazel J Watchorn, Holly Waterfall, Abby Waters, Donald Waters, Mark Waterstone, Catherine Watkins, Catrin Watkins, Eleanor Watkins, Karen Watkins, Lynn Watkins, Nick Watkins, Abigail Watson, Adam JR Watson, Ekaterina Watson, Eleanor Watson, Paul Watson, Rebecca Watson, Robert Watson, Sandra Watson, Malcolm Watters, Donna Watterson, Daniel Watts, John Watts, Merlin Watts, Victoria Waugh, Emma Wayman, Akhlaq Wazir, Mark Weatherhead, Nick Weatherly, Paul Weaver, Hayley Webb, Kathryn Webb, Kylie Webb, Stephen Webb, Cheryl Websdale, Deborah Webster, Ian Webster, Tim Webster, Kathleen Wedgeworth, Ling Wee, Rebecca Weerakoon, Thanuja Weerasinghe, Janaka Weeratunga, Maria Weetman, Shuying Wei, Immo Weichert, Hugh Welch, James Welch, Leanne Welch, Steven Welch, Samantha Weller, Lucy Wellings, Brian Wells, Susan Wellstead, Berni Welsh, Richard Welsh, Ingeborg Welters, Rachael Welton, Lauren Wentworth, Kate Wesseldine, James Wesson, Jim Wesson, Adam West, Magdelena West, Raha West, Ruth West, Sophie West, Luke Western, Ruth Westhead, Heather Weston, Alice Westwood, Bill Wetherill, Sharon Wheaver, Helen Wheeler, Ben Whelan, Matthew Whelband, Amanda Whileman, Alison Whitcher, Abbie White, Andrew White, Benjamin White, Christopher White, Duncan White, Emily White, James White, Jonathan White, Katie White, Marie White, Nick White, Sarah White, Sonia White, Stephen White, Tracey White, Catherine Whitehead, Anne Whitehouse, Claire Whitehouse, Tony Whitehouse, Julia Whiteley, Sophie Whiteley, Victoria Whiteside, Drew Whitley, Kaitlyn Whitley, Gabriel Whitlingum, David Whitmore, Elizabeth Whittaker, Lindsay Whittam, Andrew Whittingham Hirst, Ashley Whittington, Helen Whittle, Robert Whittle, Suzanne Whyte, Eunice Wiafe, Lou Wiblin, John Widdrington, Jason Wieboldt, Hannah Wieringa, Cornelia Wiesender, Laura Wiffen, Andrew Wight, Christopher Wignall, Danielle Wilcock, Emma Wilcock, Louise Wilcox, Laura Wild, Stephen Wild, Michael Wilde, Peter Wilding, Ritchie Wildman, Tracey Wildsmith, Joe Wileman, Donna Wiles, Joy Wiles, Kate Wiles, Elva Wilhelmsen, Thomas Wiliams, Chloe Wilkes, Janet Wilkie, David Wilkin, Hannah Wilkins, Joy Wilkins, Suzanne Wilkins, Helen Wilkinson, Holly Wilkinson, Iain Wilkinson, Lesley Wilkinson, Martin Wilkinson, Nicola Wilkinson, Sophia Wilkinson, Susan Wilkinson, Tim Wilkinson, Sylvia Willetts, Aimee Williams, Alexandra Williams, Alison Williams, Angharad Williams, Ava Williams, Carl Williams, Caroline V Williams, Claire Williams, Dewi Williams, Gail Williams, Gemma Williams, Gina Williams, Hannah Williams, James Williams, Jayne Williams, Jennie Williams, John Williams, Joseph Williams, Karen Williams, Kathryn Williams, Marie Williams, Matthew Williams, Patricia Williams, Penny Williams, Rachael Williams, Rupert Williams, Samson Williams, Sarah Williams, Sophie Williams, Tamanna Williams, Annie Williamson, Cath Williamson, Catherine Williamson, Dawn Williamson, James D Williamson, Rachel Williamson, Helen Williamson, Bruce Willian, Elizabeth Willis, Emily Willis, Heather Willis, Herika Willis, Joanna Willis, Laura Willmott, Louise Wills, Lucy Willsher, Catherine Willshire, Francesca Willson, Alison Wilson, Andrea Wilson, Antoinette Wilson, Billy Wilson, Catherine Wilson, Eve Wilson, James Wilson, Karen Wilson, Kate Wilson, Lucinda Wilson, Mark Wilson, Matthew Wilson, Toni Wilson, Evie Wiltsher, Marlar Win, Tin Win, Wut Yee Win Win, Lucinda Winckworth, Laura Winder, Piers Winder, Phillip Windrum, Kerry Winham-Whyte, Helen Winmill, Simon Winn, Carmen Winpenny, Helen Winslow, Helen Winter, Jonathan Winter, Pascal Winter, Barbara Winter-Goodwin, Stephen Wisdom, Matthew Wise, Martin Wiselka, Rebecca Wiseman, Sophie Wiseman, Steven Wishart, Holly Wissett, Eric Witele, Nicholas Withers, Janet Wittes, Donna Wixted, Therese Wodehouse, Will Wolf, Nicola Wolff, Kirsten Wolffsohn, Rebecca Wolf-Roberts, Magda Wolna, Elena Wolodimeroff, Adam Wolstencroft, Alan Wong, Charlotte Wong, Chi-Hung Wong, Edwin Wong, Jessica Sue Yi Wong, Kit Y Wong, Lee Wong, Mei Yin Wong, Nick Wong, Sam Wong, Yun Man Wong, Amanda Wood, Caroline Wood, Carrie Anne Wood, Dianne Wood, Fiona Wood, Hannah Wood, Jennifer Wood, Joe Wood, Julia Wood, Kathryn Wood, Lisa Wood, Louise Wood, Michelle Wood, Stephen Wood, Tracy Wood, Ursula Wood, Katharine Woodall, Rebecca Woodfield, Christopher Woodford, Elizabeth Woodford, Jill Woodford, Luke Woodford, Louise Woodhead, Timothy Woodhead, Philip Woodland, Marc Woodman, Debra Woods, Jane Woods, Katherine Woods, Sarah Woods, Zoe Woodward, Rachel Wookey, Megan Woolcock, Gemma Wooldridge, Rebecca Woolf, Chris Woollard, Christopher Woollard, Louisa Woollen, Emma Woolley, Jade Woolley, Daniel Woosey, Dan Wootton, Joanne Wootton, Daniel Worley, Stephy Worton, Jonathan Wraight, Maria Wray, Tim Wreford-Bush, Joanne Wren, Kim Wren, Lynn Wren, Caroline Wrey Brown, Catherine Wright, Demi Wright, Francesca Wright, Imogen Wright, Lee Wright, Lianne Wright, Pete Wright, Rachel Wright, Rebecca Wright, Stephanie Wright, Tim Wright, Caroline Wroe, Hannah Wroe, Henry Wu, Peishan Wu, Pensee Wu, Jonathan Wubetu, Retno Wulandari, Craig Wyatt, Frederick Wyn-Griffiths, Inez Wynter, Bindhu Xavier, Arnold Xhikola, Zhongyang Xia, Huiyuan Xiao, Masseh Yakubi, May Yan, Freda Yang, Yingjia Yang, Michael Yanney, Woei Lin Yap, Nabil Yaqoob, Naairah Yaqub, Salima Yasmin, Bryan Yates, David Yates, Edward Yates, Helen Yates, Julie Yates, Mark Yates, Charlotte Yearwood Martin, Andrew Yeatman, Khin Yein, Fiona Yelnoorkar, Peter Yew, Kawai Yip, Laura Ylquimiche, Laura Ylquimiche Melly, Inez Ynter, H Yong, Jemma Yorke, Jasmine Youens, Abdel Younes Ibrahim, Eoin Young, Gail Young, Louise Young, Richard Young, Asfand Yousafzar, Sajeda Youssouf, Ahmed Yousuf, Chrissie Yu, Bernard Yung, Daniel Yusef, Said Yusef, Intekhab Yusuf, Anna-Sophia Zafar, Silvia Zagalo, Su Zaher, Aqsa Zahoor, Kareem Zaki, Nabhan Zakir, Kasia Zalewska, Ane Zamalloa, Mohsin Zaman, Raisa Zaman, Shakir Zaman, Julie Zamikula, Louise Zammit, Marie Zammit-Mangion, Lynn Zarb, Esther Zebracki, Daniel Zehnder, Lisa Zeidan, Marian Zelman, Xiaobei Zhao, Dongling Zheng, Doreen Zhu, Madiha Zia, Omar Zibdeh, Rabia Zill-E-Huma, Ei Thankt Zin, Veronica Zindonda, Eleanor Zinkin, Vivian Zinyemba, Christos Zipitis, Arkadiusz Zmierczak, Azam Zubir, Roslin Zuha, Naz Zuhra, Rasha Zulaikha, Sabrina Zulfikar, Carol Zullo, Ana Zuriaga-Alvaro, Will Zuurbier, Sheba Zyengi, and University of St Andrews. School of Medicine
Subjects: Male, Convalescent plasma, medicine.medical_treatment, 030204 cardiovascular system & hematology, Antibodies, Viral, Rate ratio, 0302 clinical medicine, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Medicine, Hospital Mortality, 030212 general & internal medicine, 11 Medical and Health Sciences, Aged, 80 and over, Medicine(all), Mortality rate, Covid19, Articles, 3rd-DAS, General Medicine, Middle Aged, Hospitals, Treatment Outcome, Female, Open label, Coronavirus Infections, Life Sciences & Biomedicine, RM, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), 03 medical and health sciences, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Internal medicine, Humans, In patient, Pandemics, COVID-19 Serotherapy, Aged, Mechanical ventilation, Science & Technology, SARS-CoV-2, business.industry, Significant difference, Immunization, Passive, COVID-19, Length of Stay, NIS, R1, Respiration, Artificial, United Kingdom, RM Therapeutics. Pharmacology, RECOVERY Collaborative Group, business
Abstract: Background: Many patients with COVID-19 have been treated with plasma containing anti-SARS-CoV-2 antibodies. We aimed to evaluate the safety and efficacy of convalescent plasma therapy in patients admitted to hospital with COVID-19. Methods: This randomised, controlled, open-label, platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]) is assessing several possible treatments in patients hospitalised with COVID-19 in the UK. The trial is underway at 177 NHS hospitals from across the UK. Eligible and consenting patients were randomly assigned (1:1) to receive either usual care alone (usual care group) or usual care plus high-titre convalescent plasma (convalescent plasma group). The primary outcome was 28-day mortality, analysed on an intention-to-treat basis. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936. Findings: Between May 28, 2020, and Jan 15, 2021, 11558 (71%) of 16287 patients enrolled in RECOVERY were eligible to receive convalescent plasma and were assigned to either the convalescent plasma group or the usual care group. There was no significant difference in 28-day mortality between the two groups: 1399 (24%) of 5795 patients in the convalescent plasma group and 1408 (24%) of 5763 patients in the usual care group died within 28 days (rate ratio 1·00, 95% CI 0·93–1·07; p=0·95). The 28-day mortality rate ratio was similar in all prespecified subgroups of patients, including in those patients without detectable SARS-CoV-2 antibodies at randomisation. Allocation to convalescent plasma had no significant effect on the proportion of patients discharged from hospital within 28 days (3832 [66%] patients in the convalescent plasma group vs 3822 [66%] patients in the usual care group; rate ratio 0·99, 95% CI 0·94–1·03; p=0·57). Among those not on invasive mechanical ventilation at randomisation, there was no significant difference in the proportion of patients meeting the composite endpoint of progression to invasive mechanical ventilation or death (1568 [29%] of 5493 patients in the convalescent plasma group vs 1568 [29%] of 5448 patients in the usual care group; rate ratio 0·99, 95% CI 0·93–1·05; p=0·79). Interpretation: In patients hospitalised with COVID-19, high-titre convalescent plasma did not improve survival or other prespecified clinical outcomes. Funding: UK Research and Innovation (Medical Research Council) and National Institute of Health Research.
Published: 2021

41. Hepatocellular carcinoma with biliary and neuroendocrine differentiation: A case report

Author: Metin Ozdemirli, Aiwu Ruth He, Yiannis Petros Dimopoulos, and E. Winslow
Subjects: 0301 basic medicine, Pathology, medicine.medical_specialty, Neuroendocrine differentiation, Metastasis, Lesion, 03 medical and health sciences, 0302 clinical medicine, Case report, Biopsy, medicine, biology, medicine.diagnostic_test, business.industry, Biliary, Chromogranin A, Hepatocellular, Hepatitis C, medicine.disease, digestive system diseases, Neuroendocrine, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Mixed liver tumor, biology.protein, Immunohistochemistry, medicine.symptom, business, Triple differentiation
Abstract: BACKGROUND Liver tumors with dual differentiations [combined hepatocellular carcinoma (HCC) and cholangiocarcinoma] are common. However, liver tumors that exhibit hepatocellular, biliary, and neuroendocrine differentiation are exceedingly rare, with only three previous case reports in the literature. CASE SUMMARY A 65-year-old female with a previous history of hepatitis C and a distant history of low grade, well-differentiated rectal neuroendocrine tumor was found to have two liver lesions in segment 4 and segment 7 on imaging. Serum alpha-fetoprotein and chromogranin A were elevated. Biopsy of the larger lesion in segment 4 revealed a high-grade tumor, with morphologic and immunohistochemical features of a neuroendocrine tumor. Given the previous history of rectal neuroendocrine tumor, imaging investigation, serologic markers, and biopsy findings, metastatic neuroendocrine tumor was considered. Subsequent regional resection of these hepatic lesions revealed the segment 4 lesion to be a HCC with additional biliary and neuroendocrine differentiation and the segment 7 lesion to be a cholangiocarcinoma with neuroendocrine differentiation. Follow-up of the patient revealed disease recurrence in the dome of the liver and metastasis in retro-pancreatic lymph nodes. The patient eventually expired due to complications of chemotherapy. CONCLUSION HCC cases with additional biliary and neuroendocrine differentiation are exceedingly rare, posing a diagnostic challenge for clinicians and pathologists.
Published: 2021

42. Predictors of Caregiver Participation in an Engagement Strategy to Increase Initiation into a Family-Based Preventive Intervention

Author: Emily B. Winslow, Xochitl Arlene Smola, Jenn-Yun Tein, Daisy E. Camacho-Thompson, Vanesa M. Perez, Nancy A. Gonzales, Alondra M Cruz, Sarah G Hidalgo, and Hardian Thamrin
Subjects: Gerontology, medicine.medical_specialty, 030505 public health, Service delivery framework, Public health, 05 social sciences, Public Health, Environmental and Occupational Health, Social environment, medicine.disease, 03 medical and health sciences, Health psychology, Intervention (counseling), Preventive intervention, medicine, 0501 psychology and cognitive sciences, Attrition, 0305 other medical science, Psychology, Family based, 050104 developmental & child psychology
Abstract: Previous studies have shown that engagement strategies can help increase enrollment and initiation of families in evidence-based preventive programs under natural service delivery settings. However, little is known about factors that predict completion of these engagement strategies. This study aimed to examine predictors (i.e., perceived need, perceived barriers, and sociocultural context) of caregiver participation in an evidence-based engagement call strategy. This call was expected to increase initiation into a school-based, family-focused prevention program. In addition, this study examined engagement call completion as a predictor of program initiation among already enrolled families. Participants included ethnically diverse families recruited from three Title I schools (n = 413) who were randomized to receive the prevention program. Results showed that interparental conflict—an indicator of perceived need—was associated with an increased likelihood of completing the engagement call. Furthermore, caregivers from low-socioeconomic status (SES), foreign-born, Spanish-speaking, Hispanic families were more likely to complete the call relative to those from low- and mid-SES, US born, English-speaking, ethnically diverse families. Importantly, engagement call completion was associated with an increased likelihood of program initiation. These findings provide limited support that families with higher perceived needs are more likely to participate in an evidence-based engagement call strategy. Results suggested that the call strategy provides a promising way to reduce attrition from family prevention programs, which is commonly observed between enrollment and initiation. Project Number: R01 DA035855; Date of Registration: 06/15/2014.
Published: 2021

43. Genetic Determinants of EGFR-Driven Lung Cancer Growth and Therapeutic Response In Vivo

Author: Dmitri A. Petrov, Jessica A. Hellyer, Jungmin Choi, Giorgia Foggetti, Laura Andrejka, Chuan Li, Scott N. Gettinger, Deborah Ayeni, Hongchen Cai, Stellar Levy, Wen-Yang Lin, Robert J. Homer, Heather A. Wakelee, Nicholas Rashleigh, Katherine Hastings, Maximilian Diehn, Monte M. Winslow, Katerina Politi, Anna Wurtz, and Dylan Maghini
Subjects: Male, 0301 basic medicine, Lung Neoplasms, Tumor suppressor gene, medicine.drug_class, Adenocarcinoma of Lung, Antineoplastic Agents, Biology, Article, Tyrosine-kinase inhibitor, Mice, 03 medical and health sciences, 0302 clinical medicine, In vivo, medicine, Animals, Humans, Osimertinib, Lung cancer, EGFR inhibitors, Acrylamides, Aniline Compounds, medicine.disease, 3. Good health, ErbB Receptors, Disease Models, Animal, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Cancer research, Adenocarcinoma, Female, Tyrosine kinase
Abstract: In lung adenocarcinoma, oncogenic EGFR mutations co-occur with many tumor suppressor gene alterations; however, the extent to which these contribute to tumor growth and response to therapy in vivo remains largely unknown. By quantifying the effects of inactivating 10 putative tumor suppressor genes in a mouse model of EGFR-driven Trp53-deficient lung adenocarcinoma, we found that Apc, Rb1, or Rbm10 inactivation strongly promoted tumor growth. Unexpectedly, inactivation of Lkb1 or Setd2—the strongest drivers of growth in a KRAS-driven model—reduced EGFR-driven tumor growth. These results are consistent with mutational frequencies in human EGFR- and KRAS-driven lung adenocarcinomas. Furthermore, KEAP1 inactivation reduced the sensitivity of EGFR-driven tumors to the EGFR inhibitor osimertinib, and mutations in genes in the KEAP1 pathway were associated with decreased time on tyrosine kinase inhibitor treatment in patients. Our study highlights how the impact of genetic alterations differs across oncogenic contexts and that the fitness landscape shifts upon treatment. Significance: By modeling complex genotypes in vivo, this study reveals key tumor suppressors that constrain the growth of EGFR-mutant tumors. Furthermore, we uncovered that KEAP1 inactivation reduces the sensitivity of these tumors to tyrosine kinase inhibitors. Thus, our approach identifies genotypes of biological and therapeutic importance in this disease. This article is highlighted in the In This Issue feature, p. 1601
Published: 2021

44. Correlates of e-cigarette use among active duty US military personnel: implications for cessation policy

Author: L Degiorgi Winslow, K Elenberg, D Kogut, Sarah Godby, R Dierst-Davies, P Koeppl, K Marshall-Aiyelawo, J Tuttle, and M M Truslow
Subjects: medicine.medical_specialty, Active duty, business.industry, Public health, medicine.medical_treatment, 010102 general mathematics, Combat readiness, General Medicine, 01 natural sciences, Odds, law.invention, 03 medical and health sciences, Military personnel, 0302 clinical medicine, law, medicine, Smoking cessation, 030212 general & internal medicine, 0101 mathematics, business, Electronic cigarette, Health policy, Demography
Abstract: BackgroundElectronic cigarette (or e-cigarette) use has grown substantially since its US market introduction in 2007. Although marketed as a safer alternative to traditional cigarettes, studies have shown they can also be a gateway to their use. The purpose of this investigation is to identify factors associated with different patterns of tobacco use among active duty military personnel.MethodsA secondary analysis was conducted using the 2014 Defense Health Agency Health Related Behaviors survey data. Results are based on 45 986 US military respondents, weighted to 1 251 606. Both univariate and regression analyses were conducted to identify correlates.ResultsIn 2014, approximately 7.8% of respondents reported using e-cigarettes at least once in the past year. Among e-cigarette users, 49% reported exclusive e-cigarette use. Prevalence of exclusive use is highest among white people (58%), Navy (33%), men (83%) and persons with income ≤$45 000 (65%). Regression comparing exclusive cigarette with exclusive e-cigarette users revealed higher odds of being Air Force (OR=2.19; CI 1.18 to 4.06) or Navy (OR=2.25; CI 1.14 to 4.41) personnel and being male (OR=1.72; CI 1.12 to 2.64), and more likely to not receive smoking cessation messaging from healthcare providers in the last 12 months (OR=2.88; CI 1.80 to 4.62). When comparing exclusive e-cigarette users with poly-tobacco users, e-cigarette users had higher odds of being Hispanic (OR=2.20; CI 1.02 to 4.78), college educated (OR=4.25; CI 1.22 to 14.84) and not receiving tobacco prevention/cessation messaging (OR=4.80; CI 2.79 to 8.27).ConclusionThe results demonstrate that exclusive e-cigarette users in the military have unique characteristics when compared with groups of other/mixed tobacco users. Findings can inform cessation and prevention efforts to improve both the overall health and combat readiness of active duty military personnel.
Published: 2021

45. Robotic Hepaticojejunostomy for Late Anastomotic Biliary Stricture After Liver Transplantation

Author: Jason Hawksworth, Thomas M. Fishbein, P. Radkani, R. Girlanda, Brian Nguyen, Oswaldo Aguirre, Alexander Kroemer, Francisco Guerra, Nadim Haddad, and Emily R. Winslow
Subjects: medicine.medical_specialty, Cholestasis, Percutaneous, business.industry, medicine.medical_treatment, Infected hematoma, Constriction, Pathologic, Liver transplantation, Anastomosis, Liver Transplantation, Surgery, Open group, Postoperative Complications, surgical procedures, operative, Robotic Surgical Procedures, Humans, Medicine, business, Grade IIIa, Bile leak, Anastomotic biliary stricture, Retrospective Studies
Abstract: Biliary strictures after liver transplantation are common and when refractive to endoscopic and percutaneous intervention require surgical revision. Robotic technology facilitates minimally invasive biliary reconstruction and has not previously been described following liver transplantation. Robotic biliary revisions were retrospectively compared to all the historical open cases over a time period from May 2013 to October 2020. During the study period there were 3 robotic and 4 open surgical biliary revisions with a follow up of at least 6 months. All cases were hepaticojejunostomies for late choledochocholedochostomy anastomotic strictures presenting > 4 weeks after transplant and refractive to at least 3 endoscopic and/or percutaneous interventions. Median (range) case time was longer in the robotic group, 373 minutes (286-373) compared to open group, 280 minutes (163-321). The median length of stay was shorter in the robotic group, 4 days (1-4) compared to open group 7 days (4-10). Morbidity included 2 wound infections in the open group (grade II), 1 infected hematoma in the robotic group (grade IIIa) and 1 bile leak on the open group (grade IIIa). There was no biliary stricture recurrence or mortality in either group. Robotic biliary revision is a safe alternative to traditional open biliary revision for refractive biliary strictures after liver transplantation.
Published: 2021

46. New onset kidney impairment in a large pre-exposure prophylaxis demonstration project in New South Wales, Australia

Author: Dean L. Winslow and Gregory M. Lucas
Subjects: Adult, Male, Pediatrics, medicine.medical_specialty, Anti-HIV Agents, business.industry, Immunology, Australia, HIV Infections, Kidney, Article, New onset, Pre-exposure prophylaxis, Infectious Diseases, Kidney Impairment, Emtricitabine, Humans, Immunology and Allergy, Medicine, Kidney Diseases, Pre-Exposure Prophylaxis, New South Wales, business
Abstract: HIV preexposure prophylaxis (PrEP) with fixed-dose tenofovir disoproxil fumarate (TDF) and emtricitabine has been associated with low rates of renal impairment in clinical trials. Large-scale PrEP implementation may result in higher rates, as the prevalence of associated risk factors may be higher than in trial populations.A posthoc analysis of EPIC-NSW, a large Australian multicentre PrEP implementation trial for patients at high risk of HIV infection. Participants were eligible for inclusion if they commenced PrEP between 1 March 2016 and 30 April 2018, and had renal function assessed at baseline and at least once more before the censor date. The primary outcome was new-onset renal impairment, defined as an estimated glomerular filtration rate (eGFR)60 ml/min per 1.73 m2.A total of 6808 participants were eligible for inclusion. Almost all were male (99%), with a median age of 35 years [interquartile range (IQR): 28-44]. Approximately one-quarter (26%) had a baseline eGFR90 ml/min per 1.73 m2. Over a median follow-up period of 1.2 years (IQR: 0.6-1.7), the rate of renal impairment was 5.8 episodes per 1000 person-years [95% confidence interval (CI): 4.0-7.8]. In multivariable Cox regression, there was a higher risk of renal impairment in participants aged ≥50 years [hazard ratio (HR) 14.7, 95% CI: 5.0-43.3, P 0.001] and those with an eGFR90 ml/min per 1.73 m2 (HR 28.9, 95% CI: 6.9-121.9) at baseline.In a large-scale implementation study, TDF-containing PrEP was associated with a low risk of renal impairment overall, whereas older patients and those with preexisting renal dysfunction were at substantially increased risk.
Published: 2021

47. Ventricular fibrillation in Graves disease reveals a rare SCN5A mutation with W1191X variant associated with Brugada syndrome

Author: Kristin Stawiarski, Ari Pollack, John-Ross D. Clarke, Robert Winslow, and Sachin Majumdar
Subjects: medicine.medical_specialty, Scn5a gene, business.industry, medicine.medical_treatment, Graves' disease, Case Report, Genetic mutation, Arrhythmias, Implantable cardioverter-defibrillator, medicine.disease, Hyperthyroidism, Internal medicine, Ventricular fibrillation, medicine, Cardiology, Brugada syndrome, Cardiology and Cardiovascular Medicine, business
Published: 2021

48. Assessment of posterior tongue mobility using lingual‐palatal suction: Progress towards a functional definition of ankyloglossia

Author: Zahra Peeran, Bridget O’Connor, Cynthia Peterson, Sanda Valcu-Pinkerton, Soroush Zaghi, Nicole Archambault, Lenore Morrissey, Janine Murdock, Audrey Yoon, Triin Jagomägi, Kathy Winslow, Shayan Shamtoob, Brigitte Fung, Daniel Kwok-Keung Ng, Miche' Lano, and Loree Christianson
Subjects: Suction (medicine), Adult, functional ankylglossia, Adolescent, Incisive papilla, Population, Myofunctional Therapy, Suction, tongue‐tie, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Tongue, Frenulum, medicine, Humans, education, Child, General Dentistry, Ankyloglossia, Functional movement, Aged, Orthodontics, frenulum, lingual‐palatal suction, Aged, 80 and over, education.field_of_study, classification of ankyloglossia, Lingual Frenum, business.industry, Palate, grading scale, 030206 dentistry, Original Articles, Middle Aged, posterior tongue mobility, medicine.anatomical_structure, oromyofascial dysfunction, Cross-Sectional Studies, Child, Preschool, myofunctional, oro‐facial myofunctional disorder, Original Article, myofunctional therapy, Range of motion, business, 030217 neurology & neurosurgery
Abstract: Background A functional definition of ankyloglossia has been based on assessment of tongue mobility using the tongue range of motion ratio (TRMR) with the tongue tip extended towards the incisive papilla (TIP). Whereas this measurement has been helpful in assessing for variations in the mobility of the anterior one‐third of the tongue (tongue tip and apex), it may be insufficient to adequately assess the mobility of the posterior two‐thirds body of the tongue. A commonly used modification is to assess TRMR while the tongue is held in suction against the roof of the mouth in lingual‐palatal suction (LPS). Objective This study aims to explore the utility and normative values of TRMR‐LPS as an adjunct to functional assessment of tongue mobility using TRMR‐TIP. Study Design Cross‐sectional cohort study of 611 subjects (ages: 3‐83 years) from the general population. Methods Measurements of tongue mobility using TRMR were performed with TIP and LPS functional movements. Objective TRMR measurements were compared with subjective self‐assessment of resting tongue position, ease or difficulty elevating the tongue tip to the palate, and ease or difficulty elevating the tongue body to the palate. Results There was a statistically significant association between the objective measures of TRMR‐TIP and TRMR‐LPS and subjective reports of tongue mobility. LPS measurements were much more highly correlated with differences in elevating the posterior body of the tongue as compared to TIP measurements (R2 0.31 vs 0.05, P
Published: 2021

49. Ferumoxytol-enhanced MR imaging for differentiating intrapancreatic splenules from other tumors

Author: L. L. Bergmann, E. Winslow, M. R. Muehler, Scott B. Reeder, and Victoria R. Rendell
Subjects: medicine.medical_specialty, Splenule, Urology, Fat suppression, Contrast Media, Neuroendocrine tumor, Neoplasms, Internal medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Magnetic resonance imaging (MRI), Pancreatic lesion, Pancreas, Retrospective Studies, Ferumoxytol, Radiological and Ultrasound Technology, business.industry, Gastroenterology, Retrospective cohort study, Hepatology, Magnetic Resonance Imaging, Mr imaging, Ferrosoferric Oxide, Diffusion Magnetic Resonance Imaging, Ultra-small super paramagnetic iron oxides (USPIO), medicine.anatomical_structure, Splenic Tissue, Radiology, business
Abstract: Objectives Ferumoxytol is an ultra-small superparamagnetic iron oxide (USPIO) agent that is taken up by splenic tissue. This study describes our initial institutional experience of ferumoxytol-enhanced MRI (feMRI) for differentiating intrapancreatic splenules (IPS) from other pancreatic lesions. Methods In this retrospective study, patients with computed tomographic imaging that identified small enhancing lesions in the tail of the pancreas subsequently underwent feMRI for further characterization. The feMRI protocol included T2-weighted (T2w) imaging with and without fat suppression (FS), R2* mapping, diffusion-weighted imaging (DWI), and T1-weighted (T1w) imaging with FS, prior to contrast injection. Immediately after slow intravenous infusion with 3 mg/kg body weight ferumoxytol, T1w was repeated. Delayed imaging with all sequences were obtained 24–72 h after ferumoxytol administration. Results Seven patients underwent feMRI. In two patients, the pancreatic lesions were presumed as pancreatic neuroendocrine tumor (PNET) from feMRI and in the remaining 5 IPS. One of the two patients with PNET was symptomatic for NET. In another symptomatic patient with pathologically proven duodenal NET and suspected PNET, the pancreatic lesion was proven to be an IPS on feMRI. IPS demonstrated strong negative enhancement in feMRI on T2w and increased R2* values consistent with splenic tissue, while the presumed PNETs did not enhance. T2w FS was helpful on the pre-contrast images to identify IPS, while R2* did on post-contrast images. Neither DWI nor T1w contributed to differentiating PNETs from IPS. Conclusions This study demonstrates the potential utility of feMRI as a helpful adjunct diagnostic tool for differentiating IPS from other pancreatic lesions. Further studies in larger patient cohorts are needed.
Published: 2020

50. Hemodynamic Changes Associated with Lateralized Periodic Discharges: A Near-Infrared Spectroscopy and Continuous EEG Study

Author: Huaping Wang, Erhan Ergene, Antonios Michalos, Michael Xu, Mebin George, and Nolan Winslow
Subjects: medicine.medical_specialty, Neurology, Hemodynamics, Cerebral oxygen saturation, Electroencephalography, Critical Care and Intensive Care Medicine, 03 medical and health sciences, 0302 clinical medicine, Seizures, Internal medicine, medicine, Humans, Ictal, Spectroscopy, Near-Infrared, medicine.diagnostic_test, business.industry, 030208 emergency & critical care medicine, Patient Discharge, medicine.anatomical_structure, Scalp, Laterality, Cardiology, Neurology (clinical), Hemoglobin, business, 030217 neurology & neurosurgery
Abstract: Lateral periodic discharges (LPDs) have been recognized as a common electroencephalographic (EEG) pattern in critically ill patients. However, management decisions in these patients are still a challenge for clinicians. This study investigates hemodynamic changes associated with LPDs and evaluates if this pattern is likely to represent an ictal, interictal, or ictal–interictal continuum phenomenon via non-invasive near infra-red spectroscopy (NIRS) with concurrent with continuous EEG. Seventeen patients admitted to the intensive care unit with LPDs on continuous electroencephalogram (EEG) were included. Participants engaged in NIRS recording—with scalp probes on right and left frontal regions simultaneously. Associations between LPDs laterality, primary frequency, NIRS a of cerebral oxygen saturation (SO2), total hemoglobin concentration (tHb), oxygenated hemoglobin concentration (O2Hb), de-oxygenated hemoglobin concentration (HHb), and variables in participant medical history were studied. Hemispheres with LPDs showed higher overall SO2 when compared to non-LPDs hemispheres (57% vs 52%, p = 0.03). Additionally, mildly increased tHb, O2Hb, and mildly decreased HHb concentrations were detected in the hemisphere showing LPDs, but changes were not statistically significant. A higher primary frequency of LPDs was associated with lower cerebral SO2 (Pearson correlation r = − 0.55, p = 0.022) and O2Hb (Pearson correlation r = − 0.52, p = 0.033). In patients with seizure during their EEG recording (64.7%), lower tHb (28.2 μmol/L vs 37.8 μmol/L, p = 0.049) and O2Hb (15.5 μmol/L vs 24.2 μmol/L, p = 0.033) were recorded in the LPDs hemisphere. This study demonstrates an increased cerebral SO2 in the hemisphere with LPDs, and decreased SO2 and O2Hb when the frequency of LPDs increases. The findings indicate that LPDs increase oxygen demand on the ipsilateral hemisphere. We infer that a threshold of LPDs frequency might exit, when the cerebral oxygen demand begins to supersede the ability of delivery, and saturation decreases.
Published: 2020

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