358 results on '"Smith, F"'
Search Results
2. James Carnegy and the ‘Country Trade’ in Penang, c.1802–1824
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Smith, F. Andrew
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- 2023
3. Taking the Waters. Early Spas in New Zealand by Ian Rockel (review)
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Smith, F. B.
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- 2022
4. Pleasures of the Flesh — Sex and Drugs in Colonial New Zealand 1840–1915 by Stevan Eldred-Grigg (review)
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Smith, F. B.
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- 2022
5. Professor of Democracy. The Life of Charles Henry Pearson, 1830–1894 by John Tregenza (review)
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Smith, F. B.
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- 2022
6. Gladstone and Kruger by D. M. Schreuder (review)
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Smith, F. B.
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- 2022
7. John Albert Raven FRS: an extraordinary plant scientist
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Smith, F. Andrew
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- 2024
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8. VISTA checkpoint inhibition by pH-selective antibody SNS-101 with optimized safety and pharmacokinetic profiles enhances PD-1 response
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Thisted, Thomas, Smith, F. Donelson, Mukherjee, Arnab, Kleschenko, Yuliya, Feng, Feng, Jiang, Zhi-Gang, Eitas, Timothy, Malhotra, Kanam, Biesova, Zuzana, Onumajuru, Adejumoke, Finley, Faith, Cifuentes, Anokhi, Zhang, Guolin, Martin, Gaëlle H., Takeuchi, Yoshiko, Thiam, Kader, Schreiber, Robert D., and van der Horst, Edward H.
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- 2024
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9. The Todd–Coxeter algorithm for semigroups and monoids
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Coleman, T. D. H., Mitchell, J. D., Smith, F. L., and Tsalakou, M.
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- 2024
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10. Challenges and opportunities for medical referrals at a mobile community health clinic serving sexual and gender minorities in rural South Carolina: a qualitative approach
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Joudeh, Layla, Heavner, Smith F, Johnstone, Ethan, Propst, Shantara K, and Harris, Orlando O
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Health Services and Systems ,Health Sciences ,Women's Health ,Prevention ,Health Disparities ,Health Services ,Behavioral and Social Science ,Clinical Research ,Networking and Information Technology R&D (NITRD) ,8.1 Organisation and delivery of services ,Generic health relevance ,Good Health and Well Being ,Humans ,Mobile Health Units ,South Carolina ,Public Health ,Gender Identity ,Sexual and Gender Minorities ,Referral and Consultation ,Medical referrals ,Sexual and gender minority ,Mobile clinic ,Southern United States ,Library and Information Studies ,Nursing ,Public Health and Health Services ,Health Policy & Services ,Health services and systems ,Public health - Abstract
BackgroundSexual and gender minorities (SGM) in the Southern United States face challenges in accessing sexual and gender affirming health care. Alternative care models, like inclusive mobile clinics, help mitigate barriers to care for SGM. There is limited data in the literature on the experience of medical referral processes for SGM individuals accessing services from mobile health clinics.Aims and objectivesThe purpose of this study is to describe the medical referral experiences of SGM clients and their providers at a mobile health clinic in the Southern United States.MethodsWe recruited English-speaking individuals who provided care or received care from the mobile health clinic in South Carolina between June 2019 and August 2020. Participants completed a brief demographic survey and a virtual in-depth, semi-structured individual interview. Data analysis was conducted using an iterative process to generate codes, categories, and themes. Data collection and analysis were terminated once thematic saturation was achieved.ResultsThe findings from this study indicated that the mobile health clinic had an inconsistent referral process that was largely dependent on providers' knowledge. Furthermore, clients and providers expressed individual barriers to the referral process, such as financial barriers, and opportunities to improve the referral process, such as an opt-in follow-up from the mobile clinic and increased mobile clinic resources.ConclusionThe findings in this study underscore the importance of having mobile clinics create a structured referral process that all medical providers are familiar with, and the value of hiring patient navigators that can support and refer clients to care that goes beyond the mobile health clinic setting.
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- 2023
11. The Todd-Coxeter Algorithm for Semigroups and Monoids
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Coleman, T. D. H., Mitchell, J. D., Smith, F. L., and Tsalakou, M.
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Mathematics - Group Theory ,Mathematics - Rings and Algebras ,20M05, 20M30 - Abstract
In this paper we provide an account of the Todd-Coxeter algorithm for computing congruences on semigroups and monoids. We also give a novel description of an analogue for semigroups of the so-called Felsch strategy from the Todd-Coxeter algorithm for groups., Comment: 42 pages, 16 figures, 11 tables, updated according to referee's comments, to appear in Semigroup Forum
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- 2022
12. Management Approaches in WHO Grade III Meningioma: A National Oncology Trainees' Collaborative for Healthcare Research (NOTCH) UK Multi-Centre Retrospective Study
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Dobeson, C.B., Baxter, M., Rowe, M., Kingdon, S., Park, S., Bond, H., Taylor, K., Islim, A.I., King, J., Millward, C.P., Zakaria, R., Clynch, A.L., Keshwara, S.M., Eltinay, A., Kviat, L., Robinson, R., Haris, P.A., Samuel, R., Venkatesh, V., Derby, S., Ahmad, S., Smith, F., Robinson, S., Kathirgamakarthigeyan, S., Narramneni, L.R., Hannan, C.J., and Lewis, J.
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- 2024
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13. Outpatient Opioid Dispensing Patterns for SC Medicaid Children 1-36 Months Old
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Sivaraj, Laksika Banu M., Basco, William T., Heavner, Smith F., Lopes, Snehal S., Rolke, Laura J., Shi, Lu, and Truong, Khoa
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Diagnosis ,Drug therapy ,Usage ,Demographic aspects ,Dosage and administration ,Ambulatory care -- Demographic aspects ,Medicaid -- Usage ,Neonatal diseases -- Diagnosis -- Drug therapy ,Opioids -- Dosage and administration ,Infants (Newborn) -- Diseases ,Ambulatory medical care -- Demographic aspects - Abstract
Author(s): Laksika Banu M. Sivaraj [sup.1] , William T. Jr. Basco [sup.2] , Smith F. Heavner [sup.1] [sup.3] [sup.4] , Snehal S. Lopes [sup.1] , Laura J. Rolke [sup.1] , [...], Objectives We sought to identify the most common diagnostic categories linked to dispensed opioid prescriptions among children 1-36 months old and changes in patterns over the years 2000 to 2017. Methods This study used South Carolina's Medicaid claims data of pediatric dispensed outpatient opioid prescriptions between 2000 and 2017. The major opioid-related diagnostic category (indication) for each prescription was identified using visit primary diagnoses and the Clinical Classification System (AHRQ-CCS) software. The variables of interest were the rate of opioid prescriptions per 1,000 visits for each diagnostic category and the relative percentage of opioid prescriptions assigned to each category compared to all categories. Results Six major diagnostic categories were identified; Diseases of the respiratory system (RESP), Congenital anomalies (CONG), Injury (INJURY), Diseases of the nervous system and sense organs (NEURO), Diseases of the digestive system (GI), and Diseases of the genitourinary system (GU). The overall rate of dispensed opioid prescriptions per category declined significantly for four diagnostic categories throughout the study period, RESP by 15.13, INJURY by 8.49, NEURO by 7.33, and GI by 5.93. Two categories increased during the same time, CONG (by 9.47) and GU (by 6.98). RESP was the most prevalent category linked to a dispensed opioid prescription within 2010-2012 (almost 25%) but CONG was the most prevalent by 2014 (17.77%). Conclusions for practice Among Medicaid children 1-36 months old, annual dispensed opioid prescription rates declined for most major diagnostic categories (RESP, INJURY, NEURO, and GI). Future studies should explore alternatives to current opioid dispensing practices for GU and CONG cases.
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- 2023
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14. Recruitment of BAG2 to DNAJ-PKAc scaffolds promotes cell survival and resistance to drug-induced apoptosis in fibrolamellar carcinoma
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Lauer, Sophia M., Omar, Mitchell H., Golkowski, Martin G., Kenerson, Heidi L., Lee, Kyung-Soon, Pascual, Bryan C., Lim, Huat C., Forbush, Katherine, Smith, F. Donelson, Gordan, John D., Ong, Shao-En, Yeung, Raymond S., and Scott, John D.
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- 2024
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15. Regulation of Electronic Mass Media
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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16. Research and Theory
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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17. Radio Channels
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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18. Preview
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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19. Impact
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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20. Factors in Degree of Impact
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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21. Radio Energy
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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22. Local Outlets
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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23. Production, Programs, and Performance in Electronic Mass Media
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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24. Programming by Electronic Mass Media
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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25. Electronic Mass Media Networks
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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26. Careers in Electronic Mass Media
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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27. Electronic Mass Communication Law
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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28. Foreign National and International Radio and Television
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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29. Noncommercial Radio and Television
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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30. Ethics and Self-Regulation in Electronic Mass Media
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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31. Sales and Advertising
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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32. Television Broadcasting: From 1884
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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33. Radio Broadcasting: From 1842
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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34. Commercials and Other Persuasive Announcements
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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35. Cable Television: From 1949
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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36. Electronic Mass Media and the First Amendment
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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37. Other Electronic Mass Media Technologies: From 1948
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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38. Corporate Video
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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39. Audience Research and Ratings
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Smith, F. Leslie, primary, Wright, John W., additional, and Ostroff, David H., additional
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- 2023
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40. Validation of automated data abstraction for SCCM discovery VIRUS COVID-19 registry: practical EHR export pathways (VIRUS-PEEP)
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Diana J. Valencia Morales, Vikas Bansal, Smith F. Heavner, Janna C. Castro, Mayank Sharma, Aysun Tekin, Marija Bogojevic, Simon Zec, Nikhil Sharma, Rodrigo Cartin-Ceba, Rahul S. Nanchal, Devang K. Sanghavi, Abigail T. La Nou, Syed A. Khan, Katherine A. Belden, Jen-Ting Chen, Roman R. Melamed, Imran A. Sayed, Ronald A. Reilkoff, Vitaly Herasevich, Juan Pablo Domecq Garces, Allan J. Walkey, Karen Boman, Vishakha K. Kumar, and Rahul Kashyap
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validation ,data automation ,electronic health records ,COVID-19 ,VIRUS COVID-19 registry ,Medicine (General) ,R5-920 - Abstract
BackgroundThe gold standard for gathering data from electronic health records (EHR) has been manual data extraction; however, this requires vast resources and personnel. Automation of this process reduces resource burdens and expands research opportunities.ObjectiveThis study aimed to determine the feasibility and reliability of automated data extraction in a large registry of adult COVID-19 patients.Materials and methodsThis observational study included data from sites participating in the SCCM Discovery VIRUS COVID-19 registry. Important demographic, comorbidity, and outcome variables were chosen for manual and automated extraction for the feasibility dataset. We quantified the degree of agreement with Cohen’s kappa statistics for categorical variables. The sensitivity and specificity were also assessed. Correlations for continuous variables were assessed with Pearson’s correlation coefficient and Bland–Altman plots. The strength of agreement was defined as almost perfect (0.81–1.00), substantial (0.61–0.80), and moderate (0.41–0.60) based on kappa statistics. Pearson correlations were classified as trivial (0.00–0.30), low (0.30–0.50), moderate (0.50–0.70), high (0.70–0.90), and extremely high (0.90–1.00).Measurements and main resultsThe cohort included 652 patients from 11 sites. The agreement between manual and automated extraction for categorical variables was almost perfect in 13 (72.2%) variables (Race, Ethnicity, Sex, Coronary Artery Disease, Hypertension, Congestive Heart Failure, Asthma, Diabetes Mellitus, ICU admission rate, IMV rate, HFNC rate, ICU and Hospital Discharge Status), and substantial in five (27.8%) (COPD, CKD, Dyslipidemia/Hyperlipidemia, NIMV, and ECMO rate). The correlations were extremely high in three (42.9%) variables (age, weight, and hospital LOS) and high in four (57.1%) of the continuous variables (Height, Days to ICU admission, ICU LOS, and IMV days). The average sensitivity and specificity for the categorical data were 90.7 and 96.9%.Conclusion and relevanceOur study confirms the feasibility and validity of an automated process to gather data from the EHR.
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- 2023
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41. Implementation of a Virtual Interprofessional ICU Learning Collaborative: Successes, Challenges, and Initial Reactions From the Structured Team-Based Optimal Patient-Centered Care for Virus COVID-19 Collaborators
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Simon Zec, MD, Nika Zorko Garbajs, MD, Yue Dong, MD, Ognjen Gajic, MD, Christina Kordik, MA, Lori Harmon, RRT, MBA, CPHQ, Marija Bogojevic, MD, Romil Singh, MD, Yuqiang Sun, MD, Vikas Bansal, MD, Linh Vu, MD, Kelly Cawcutt, MD, John M. Litell, DO, Sarah Redmond, PhD, Eleanor Fitzpatrick, RN, Kirstin J. Kooda, PharmD, Michelle Biehl, MD, Neha S. Dangayach, MD, Viren Kaul, MD, June M. Chae, MD, Aaron Leppin, MD, Mathew Siuba, MD, Rahul Kashyap, MBBS, Allan J. Walkey, MD, Alexander S. Niven, MD, on behalf of the Structured Team-based Optimal Patient-Centered Care for Virus COVID-19 (STOP-VIRUS) Collaborative, Anthony Martinez, MD, Dean Meadows, MD, Helen Stinnett, BA, RRT, Michael Allison, MD, Olubukola Adeyemi, PharmD, Terry Herbert, BSN, RN, Gerald L. Weinhouse, MD, Namrata Patil, MD, MPH, Gaspar Hacobian, PharmD, BCPS, Kamen Rangelov, MD, Jillian Parker, RRT, Michael P. Smith, PharmD, BCCCP, Rachel Smith, RN, MSN, MBA, CCRN, Eliza Deery, MD, Andrea Harper, MS, Emily Davis, RN, CCRN, Grace M. Arteaga, MD, FAAP, FCCM, Jennifer L. Fleegel, RN, CCRN, Julie M. Duncan, RN, Kevin K. Graner, RPh, Tammy J. Schultz, RRT, LRT, Abhishek Giri, MBBS, Ashley Gill, RRT, Catherine L. Mielke, MS, APRN, CNS, Devang Sanghavi, MD, MHA, Jonathan K. Clark, RRT, Julie Shimp, RN, Lisa Marshall, MSN, RN, Michael Spiros, MSN, RN, Nirmaljot Kaur, MD, Sean P. Kiley, MD, Siva Naga Yarrarapu, MBBS, Teresa Keister, RN, Gage Stroope, LRT, CRT, Jackie Stark, PharmD, BCPS, Jessica Poehler, RN, Juan Pablo, Domecq Garces, MD, Nitesh Kumar Jain, MD, MBBS, Syed Anjum Khan, MD, Thoyaja Koritala, MD, Abigail La Nou, MD, FACEP, Christina Hall, MS, RN, Cindy Christensen, MSN, RN, FNP-BC, Kirsten Holbrook, RRT, Sara Toufar, PharmD, RPh, Sarah Normand, PharmD, RPh, Amy Spitzner, RN, CCRN, Carissa Quinn, APRN, CNS, DNP, Christina Xia, PharmD, BCCCP, Holly D. Behrns, LRT, RRT, Erin Barreto, PharmD, RPh, Jennifer Elmer, APRN, CNS, DNP, Sarah Chalmers, MD, PCCM, Macy Cooper, RN, Aaron Harthan, PharmD, BCPPS, Edmundo A. Martinez, MD, Jennifer A. Bandy, RN, BSN, John Sanford, RRT-ACCS, RRT-NPS, Jackie A. Guiliani, BSRT, RRT-NPS, Megan Kupferschmid, MSN, RN, P-CCRN, Anand Pariyadath, MD, Brandy Vitielliss, BSN, RN, Daniel Temas, MD, Smith F. Heavner, MS, RN, PCCN, Amanda Frary, MSN, RN, Murtaza Akhter, MD, Rania Rahman, MD, Mary Mulrow, RN, MN, CCRP, Tracy Cooper, RN, John M. Litell, DO, FACEP, June Mee Chae, MD, Kelly Cawcutt, MD, MS, FACP, FIDSA, Kirstin J. Kooda, PharmD, RPh, Neha S. Dangayach, MD, MSCR, Matthew Siuba, DO, Aaron B. Holley, MD, Alexander A. Kon, MD, MS, Amita Avadhani, PhD, DNP, CNE, DCC, ACNP-BC, NP-C, CCRN, FAANP, FCCM, Amy L. Dzierba, PharmD, FCCP, BCCCP, FCCM, Andre C. Kalil, MD, MPH, FACP, Ashley D. DePriest, MS, RDN, CNSC, Bradley Peters, PharmD, RPh, BCSP, BCCCP, Brenda T. Pun, DNP, RN, FCCM, Courtney E. Bennett, DO, Eric Kriner, BS, RRT, Erin S. DeMartino, MD, Erin Strong, BSN, RN, CCRN, Giora Netzer, MD, Greg S. Martin, MD, MSc, FCCM, Jerry J. Zimmerman, MD, PhD, FCCM, Julia Taylor, MD, MA, HEC-C, Karen A. Korzick, MD, MA, FCCP, FACP, FCCM, Katherine Fischkoff, MD, MPA, FACS, Lewis J. Kaplan, MD, FACS, FCCM, Marlies Ostermann, MD, PhD, Mary Susan Gaeta, MD, FACP, Mary Faith Marshall, HEC-C, PhD, Nahreen Ahmed, MD, MPH, Paul Alan Nyquist, MD, MPH, Pooja A. Nawathe, MD, FAAP, CHSE-A, CHSOS, FCCM, Preeti R. John, MD, MPH, FACS, CPE, HEC-C, and Uzma Syed, DO, FIDSA
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Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
IMPORTANCE:. Initial Society of Critical Care Medicine Discovery Viral Infection and Respiratory illness Universal Study (VIRUS) Registry analysis suggested that improvements in critical care processes offered the greatest modifiable opportunity to improve critically ill COVID-19 patient outcomes. OBJECTIVES:. The Structured Team-based Optimal Patient-Centered Care for Virus COVID-19 ICU Collaborative was created to identify and speed implementation of best evidence based COVID-19 practices. DESIGN, SETTING, AND PARTICIPANTS:. This 6-month project included volunteer interprofessional teams from VIRUS Registry sites, who received online training on the Checklist for Early Recognition and Treatment of Acute Illness and iNjury approach, a structured and systematic method for delivering evidence based critical care. Collaborators participated in weekly 1-hour videoconference sessions on high impact topics, monthly quality improvement (QI) coaching sessions, and received extensive additional resources for asynchronous learning. MAIN OUTCOMES AND MEASURES:. Outcomes included learner engagement, satisfaction, and number of QI projects initiated by participating teams. RESULTS:. Eleven of 13 initial sites participated in the Collaborative from March 2, 2021, to September 29, 2021. A total of 67 learners participated in the Collaborative, including 23 nurses, 22 physicians, 10 pharmacists, nine respiratory therapists, and three nonclinicians. Site attendance among the 11 sites in the 25 videoconference sessions ranged between 82% and 100%, with three sites providing at least one team member for 100% of sessions. The majority reported that topics matched their scope of practice (69%) and would highly recommend the program to colleagues (77%). A total of nine QI projects were initiated across three clinical domains and focused on improving adherence to established critical care practice bundles, reducing nosocomial complications, and strengthening patient- and family-centered care in the ICU. Major factors impacting successful Collaborative engagement included an engaged interprofessional team; an established culture of engagement; opportunities to benchmark performance and accelerate institutional innovation, networking, and acclaim; and ready access to data that could be leveraged for QI purposes. CONCLUSIONS AND RELEVANCE:. Use of a virtual platform to establish a learning collaborative to accelerate the identification, dissemination, and implementation of critical care best practices for COVID-19 is feasible. Our experience offers important lessons for future collaborative efforts focused on improving ICU processes of care.
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- 2023
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42. Admission Code Status and End-of-life Care for Hospitalized Patients With COVID-19
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Kiker, Whitney A, Cheng, Si, Pollack, Lauren R, Creutzfeldt, Claire J, Kross, Erin K, Curtis, J Randall, Belden, Katherine A, Melamed, Roman, Armaignac, Donna Lee, Heavner, Smith F, Christie, Amy B, Banner-Goodspeed, Valerie M, Khanna, Ashish K, Sili, Uluhan, Anderson, Harry L, III, Kumar, Vishakha, Walkey, Allan, Kashyap, Rahul, Gajic, Ognjen, Domecq, Juan Pablo, and Khandelwal, Nita
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- 2022
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43. Mislocalization of protein kinase A drives pathology in Cushing’s syndrome
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Omar, Mitchell H., Byrne, Dominic P., Jones, Kiana N., Lakey, Tyler M., Collins, Kerrie B., Lee, Kyung-Soon, Daly, Leonard A., Forbush, Katherine A., Lau, Ho-Tak, Golkowski, Martin, McKnight, G. Stanley, Breault, David T., Lefrançois-Martinez, Anne-Marie, Martinez, Antoine, Eyers, Claire E., Baird, Geoffrey S., Ong, Shao-En, Smith, F. Donelson, Eyers, Patrick A., and Scott, John D.
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- 2022
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44. Shifts in plant architecture drive species‐specific responses to drought in a Sorghum recombinant inbred line population.
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Lehrer, M. A., Govindarajulu, R., Smith, F., and Hawkins, J. S.
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LOCUS (Genetics) ,LEAF temperature ,PLANT morphology ,DROUGHT tolerance ,WATER management ,SORGHUM - Abstract
Drought stress severely impedes plant growth, development, and yield. Therefore, it is critical to uncover the genetic mechanisms underlying drought resistance to ensure future food security.To identify the genetic controls of these responses in Sorghum, an agriculturally and economically important grain crop, an interspecific recombinant inbred line (RIL) population was established by crossing a domesticated inbred line of Sorghum bicolor (TX7000) with its wild relative, Sorghum propinquum. This RIL population was evaluated under drought conditions, allowing for the identification of quantitative trait loci (QTL) that contribute to drought resistance.We detected eight QTL in the drought population that explain a significant portion of the observed variation for four traits (height, aboveground biomass, relative water content, and leaf temperature/transpiration). The allelic effects of, and the candidate genes within, these QTL emphasize: (1) the influence of domestication on drought‐responsive phenotypes, such as height and aboveground biomass, and (2) how control of water uptake and/or loss can be driven by species‐specific plant architecture.Our findings shed light on the interconnected roles of shoot and root responses in drought resistance as it relates to regulation of water uptake and/or loss, while the detected allelic effects demonstrate how maintenance of grain production and yield under drought is a likely result of domestication‐derived drought tolerance. [ABSTRACT FROM AUTHOR]
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- 2025
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45. Dispensed Opioid Prescription Patterns, by Racial/Ethnic Groups, Among South Carolina Medicaid-Funded Children Experiencing Limb Fracture Injuries
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Lopes, Snehal S., Shi, Lu, Sivaraj, Laksika Banu, Truong, Khoa, Rolke, Laura, Heavner, Smith F., and Basco, William T., Jr.
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- 2022
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46. Implementation of a Virtual Interprofessional ICU Learning Collaborative: Successes, Challenges, and Initial Reactions From the Structured Team-Based Optimal Patient-Centered Care for Virus COVID-19 Collaborators
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Zec, Simon, Zorko Garbajs, Nika, Dong, Yue, Gajic, Ognjen, Kordik, Christina, Harmon, Lori, Bogojevic, Marija, Singh, Romil, Sun, Yuqiang, Bansal, Vikas, Vu, Linh, Cawcutt, Kelly, Litell, John M., Redmond, Sarah, Fitzpatrick, Eleanor, Kooda, Kirstin J., Biehl, Michelle, Dangayach, Neha S., Kaul, Viren, Chae, June M., Leppin, Aaron, Siuba, Mathew, Kashyap, Rahul, Walkey, Allan J., Niven, Alexander S., Martinez, Anthony, Meadows, Dean, Stinnett, Helen, Allison, Michael, Adeyemi, Olubukola, Herbert, Terry, Weinhouse, Gerald L., Patil, Namrata, Hacobian, Gaspar, Rangelov, Kamen, Parker, Jillian, Smith, Michael P., Smith, Rachel, Deery, Eliza, Harper, Andrea, Davis, Emily, Arteaga, Grace M., Fleegel, Jennifer L., Duncan, Julie M., Graner, Kevin K., Schultz, Tammy J., Giri, Abhishek, Gill, Ashley, Mielke, Catherine L., Sanghavi, Devang, Clark, Jonathan K., Shimp, Julie, Marshall, Lisa, Spiros, Michael, Kaur, Nirmaljot, Kiley, Sean P., Yarrarapu, Siva Naga, Keister, Teresa, Stroope, Gage, Stark, Jackie, Poehler, Jessica, Pablo, Juan, Garces, Domecq, Jain, Nitesh Kumar, Khan, Syed Anjum, Koritala, Thoyaja, La Nou, Abigail, Hall, Christina, Christensen, Cindy, Holbrook, Kirsten, Toufar, Sara, Normand, Sarah, Spitzner, Amy, Quinn, Carissa, Xia, Christina, Behrns, Holly D., Barreto, Erin, Elmer, Jennifer, Chalmers, Sarah, Cooper, Macy, Harthan, Aaron, Martinez, Edmundo A., Bandy, Jennifer A., Sanford, John, Guiliani, Jackie A., Kupferschmid, Megan, Pariyadath, Anand, Vitielliss, Brandy, Temas, Daniel, Heavner, Smith F., Frary, Amanda, Akhter, Murtaza, Rahman, Rania, Mulrow, Mary, Cooper, Tracy, Litell, John M., Chae, June Mee, Cawcutt, Kelly, Kooda, Kirstin J., Biehl, Michelle, Dangayach, Neha S., Redmond, Sarah, Kaul, Viren, Siuba, Matthew, Holley, Aaron B., Kon, Alexander A., Avadhani, Amita, Dzierba, Amy L., Kalil, Andre C., Cawcutt, Kelly, DePriest, Ashley D., Peters, Bradley, Pun, Brenda T., Bennett, Courtney E., Kriner, Eric, DeMartino, Erin S., Strong, Erin, Netzer, Giora, Martin, Greg S., Zimmerman, Jerry J., Taylor, Julia, Korzick, Karen A., Fischkoff, Katherine, Kaplan, Lewis J., Ostermann, Marlies, Gaeta, Mary Susan, Marshall, Mary Faith, Ahmed, Nahreen, Nyquist, Paul Alan, Nawathe, Pooja A., John, Preeti R., and Syed, Uzma
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- 2023
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47. A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools
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Smith F. Heavner, PhD, RN, Wesley Anderson, PhD, Rahul Kashyap, MBBS, MBA, Pamela Dasher, BA, Ewy A. Mathé, PhD, Laura Merson, Philippe J. Guerin, MD, PhD, Jeff Weaver, MBA, Matthew Robinson, MD, Marco Schito, PhD, Vishakha K. Kumar, MD, MBA, and Paul Nagy, PhD
- Subjects
Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.
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- 2023
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48. A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools
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Heavner, Smith F., Anderson, Wesley, Kashyap, Rahul, Dasher, Pamela, Mathé, Ewy A., Merson, Laura, Guerin, Philippe J., Weaver, Jeff, Robinson, Matthew, Schito, Marco, Kumar, Vishakha K., and Nagy, Paul
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- 2023
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49. Perioperative Nonsteroidal Anti-inflammatory Drugs (NSAID) Administration and Acute Kidney Injury (AKI) in Major Gastrointestinal Surgery: A Prospective, Multicenter, Propensity Matched Cohort Study
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Writing Committee, Drake, TM, Ahmed, WUR, Baker, D, Mills, E, Khaw, R, Kamarajah, S, McLean, KA, Glasbey, JC, Nepogodiev, D, Data analysis, McLean, KA, Drake, TM, Steering Committee, Glasbey, JC, Borakati, A, Drake, TM, Kamarajah, S, McLean, KA, Bath, MF, Claireaux, HA, Gundogan, B, Mohan, M, Deekonda, P, Kong, C, Joyce, H, Mcnamee, L, Woin, E, Burke, J, Khatri, C, Fitzgerald, JE, Harrison, EM, Bhangu, A, Nepogodiev, D, Advisory group, Arulkumaran, N, Bell, S, Duthie, F, Hughes, J, Pinkney, TD, Prowle, J, Richards, T, Thomas, M, Regional Leads, Dynes, K, Patel, M, Patel, P, Wigley, C, Suresh, R, Shaw, A, Klimach, S, Jull, P, Evans, D, Preece, R, Ibrahim, I, Manikavasagar, V, Smith, R, Brown, F S, Deekonda, P, Teo, R, Sim, D P Y, Borakati, A, Logan, A E, Barai, I, Amin, H, Suresh, S, Sethi, R, Bolton, W, Corbridge, O, Horne, L, Attalla, M, Morley, R, Robinson, C, Hoskins, T, McAllister, R, Lee, S, Dennis, Y, Nixon, G, Heywood, E, Wilson, H, Ng, L, Samaraweera, S, Mills, A, Doherty, C, Woin, E, Belchos, J, Phan, V, Collaborators & validators, Chouari, T, Gardner, T, Goergen, N, Hayes, J D B, MacLeod, C S, McCormack, R, McKinley, A, McKinstry, S, Milligan, W, Ooi, L, Rafiq, N M, Sammut, T, Sinclair, E, Smith, M, Baker, C, Boulton, A P R, Collins, J, Copley, H C, Fearnhead, N, Fox, H, Mah, T, McKenna, J, Naruka, V, Nigam, N, Nourallah, B, Perera, S, Qureshi, A, Saggar, S, Sun, L, Wang, X, Yang, D D, Caroll, P, Doyle, C, Elangovan, S, Falamarzi, A, Perai, K Gascon, Greenan, E, Jain, D, Lang-Orsini, M, Lim, S, OʼByrne, L, Ridgway, P, Van der Laan, S, Wong, J, Arthur, J, Barclay, J, Bradley, P, Edwin, C, Finch, E, Hayashi, E, Hopkins, M, Kelly, D, Kelly, M, McCartan, N, Ormrod, A, Pakenham, A, Hayward, J, Hitchen, C, Kishore, A, Martins, T, Philomen, J, Rao, R, Rickards, C, Burns, N, Copeland, M, Durand, C, Dyal, A, Ghaffar, A, Gidwani, A, Grant, M, Gribbon, C, Gruhn, A, Leer, M, Ahmad, K, Beattie, G, Beatty, M, Campbell, G, Donaldson, G, Graham, S, Holmes, D, Kanabar, S, Liu, H, McCann, C, Stewart, R, Vara, S, Ajibola-Taylor, O, Andah, E J E, Ani, C, Cabdi, N M O, Ito, G, Jones, M, Komoriyama, A, Patel, P, Titu, L, Basra, M, Gallogly, P, Harinath, G, Leong, S H, Pradhan, A, Siddiqui, I, Zaat, S, Ali, A, Galea, M, Looi, W L, Ng, J C K, Atkin, G, Azizi, A, Cargill, Z, China, Z, Elliot, J, Jebakumar, R, Lam, J, Mudalige, G, Onyerindu, C, Renju, M, Shankar Babu, V, Hussain, M, Joji, N, Lovett, B, Mownah, H, Ali, B, Cresswell, B, Dhillon, A K, Dupaguntla, Y S, Hungwe, C, Lowe-Zinola, J D, Tsang, J C H, Bevan, K, Cardus, C, Duggal, A, Hossain, S, McHugh, M, Scott, M, Chan, F, Evans, R, Gurung, E, Haughey, B, Jacob-Ramsdale, B, Kerr, M, Lee, J, McCann, E, OʼBoyle, K, Reid, N, Hayat, F, Hodgson, S, Johnston, R, Jones, W, Khan, M, Linn, T, Long, S, Seetharam, P, Shaman, S, Smart, B, Anilkumar, A, Davies, J, Griffith, J, Hughes, B, Islam, Y, Kidanu, D, Mushaini, N, Qamar, I, Robinson, H, Schramm, M, Tan, C Yan, Apperley, H, Billyard, C, Blazeby, J M, Cannon, S P, Carse, S, Göpfert, A, Loizidou, A, Parkin, J, Sanders, E, Sharma, S, Slade, G, Telfer, R, Whybrow Huppatz, I, Worley, E, Chandramoorthy, L, Friend, C, Harris, L, Jain, P, Karim, M J, Killington, K, McGillicuddy, J, Rafferty, C, Rahunathan, N, Rayne, T, Varathan, Y, Verma, N, Zanichelli, D, Arneill, M, Brown, F, Campbell, B, Crozier, L, Henry, J, McCusker, C, Prabakaran, P, Wilson, R, Asif, U, Connor, M, Dindyal, S, Math, N, Pagarkar, A, Saleem, H, I, Seth, S Sharma, Standfield, N, Swartbol, T, Adamson, R, Choi, J E, El Tokhy, O, Ho, W, Javaid, N R, Kelly, M, Mehdi, A S, Menon, D, Plumptre, I, Sturrock, S, Turner, J, Warren, O, Crane, E, Ferris, B, Gadsby, C, Smallwood, J, Vipond, M, Wilson, V, Amarnath, T, Doshi, A, Gregory, C, Kandiah, K, Powell, B, Spoor, H, Toh, C, Vizor, R, Common, M, Dunleavy, K, Harris, S, Luo, C, Mesbah, Z, Kumar, A Prem, Redmond, A, Skulsky, S, Walsh, T, Daly, D, Deery, L, Epanomeritakis, E, Harty, M, Kane, D, Khan, K, Mackey, R, McConville, J, McGinnity, K, Nixon, G, Ang, A, Kee, J Y, Leung, E, Norman, S, Palaniappan, S V, Sarathy, P Partha, Yeoh, T, Frost, J, Hazeldine, P, Jones, L, Karbowiak, M, Macdonald, C, Mutarambirwa, A, Omotade, A, Runkel, M, Ryan, G, Sawers, N, Searle, C, Suresh, S, Vig, S, Ahmad, A, McGartland, R, Sim, R, Song, A, Wayman, J, Brown, R, Chang, L H, Concannon, K, Crilly, C, Arnold, T J, Burgin, A, Cadden, F, Choy, C H, Coleman, M, Lim, D, Luk, J, Mahankali-Rao, P, Prudence-Taylor, A J, Ramakrishnan, D, Russell, J, Fawole, A, Gohil, J, Green, B, Hussain, A, McMenamin, L, McMenamin, L, Tang, M, Azmi, F, Benchetrit, S, Cope, T, Haque, A, Harlinska, A, Holdsworth, R, Ivo, T, Martin, J, Nisar, T, Patel, A, Sasapu, K, Trevett, J, Vernet, G, Aamir, A, Bird, C, Durham-Hall, A, Gibson, W, Hartley, J, May, N, Maynard, V, Johnson, S, McDonald Wood, C, OʼBrien, M, Orbell, J, Stringfellow, T D, Tenters, F, Tresidder, S, Cheung, W, Grant, A, Tod, N, Bews-Hair, M, Lim, Z H, Lim, S W, Vella-Baldacchino, M, Auckburally, S, Chopada, A, Easdon, S, Goodson, R, McCurdie, F, Narouz, M, Radford, A, Rea, E, Taylor, O, Yu, T, Alfa-Wali, M, Amani, L, Auluck, I, Bruce, P, Emberton, J, Kumar, R, Lagzouli, N, Mehta, A, Murtaza, A, Raja, M, Dennahy, I S, Frew, K, Given, A, He, Y Y, Karim, M A, MacDonald, E, McDonald, E, McVinnie, D, Ng, S K, Pettit, A, Sim, D P Y, Berthaume-Hawkins, S D, Charnley, R, Fenton, K, Jones, D, Murphy, C, Ng, J Q, Reehal, R, Robinson, H, Seraj, S S, Shang, E, Tonks, A, White, P, Yeo, A, Chong, P, Gabriel, R, Patel, N, Richardson, E, Symons, L, Aubrey-Jones, D, Dawood, S, Dobrzynska, M, Faulkner, S, Griffiths, H, Mahmood, F, Patel, P, Perry, M, Power, A, Simpson, R, Ali, A, Brobbey, P, Burrows, A, Elder, P, Ganyani, R, Horseman, C, Hurst, P, Mann, H, Marimuthu, K, McBride, S, Pilsworth, E, Powers, N, Stanier, P, Innes, R, Kersey, T, Kopczynska, M, Langasco, N, Patel, N, Rajagopal, R, Atkins, B, Beasley, W, Lim, Z Cheng, Gill, A, Ang, H Li, Williams, H, Yogeswara, T, Carter, R, Fam, M, Fong, J, Latter, J, Long, M, Mackinnon, S, McKenzie, C, Osmanska, J, Raghuvir, V, Shafi, A, Tsang, K, Walker, L, Bountra, K, Coldicutt, O, Fletcher, D, Hudson, S, Iqbal, S, Bernal, T Lopez, Martin, J W B, Moss-Lawton, F, Smallwood, J, Vipond, M, Cardwell, A, Edgerton, K, Laws, J, Rai, A, Robinson, K, Waite, K, Ward, J, Youssef, H, Knight, C, Koo, P Y, Lazarou, A, Stanger, S, Thorn, C, Triniman, M C, Botha, A, Boyles, L, Cumming, S, Deepak, S, Ezzat, A, Fowler, A J, Gwozdz, A M, Hussain, S F, Khan, S, Li, H, Morrell, B Lu, Neville, J, Nitiahpapand, R, Pickering, O, Sagoo, H, Sharma, E, Welsh, K, Denley, S, Khan, S, Agarwal, M, Al-Saadi, N, Bhambra, R, Gupta, A, Jawad, Z A R, Jiao, L R, Khan, K, Mahir, G, Singagireson, S, Thoms, B L, Tseu, B, Wei, R, Yang, N, Britton, N, Leinhardt, D, Mahfooz, M, Palkhi, A, Price, M, Sheikh, S, Barker, M, Bowley, D, Cant, M, Datta, U, Farooqi, M, Lee, A, Morley, G, Naushad Amin, M, Parry, A, Patel, S, Strang, S, Yoganayagam, N, Adlan, A, Chandramoorthy, S, Choudhary, Y, Das, K, Feldman, M, France, B, Grace, R, Puddy, H, Soor, P, Ali, M, Dhillon, P, Faraj, A, Gerard, L, Glover, M, Imran, H, Kim, S, Patrick, Y, Peto, J, Prabhudesai, A, Smith, R, Tang, A, Vadgama, N, Dhaliwal, R, Ecclestone, T, Harris, A, Ong, D, Patel, D, Philp, C, Stewart, E, Wang, L, Wong, E, Xu, Y, Ashaye, T, Fozard, T, Galloway, F, Kaptanis, S, Mistry, P, Nguyen, T, Olagbaiye, F, Osman, M, Philip, Z, Rembacken, R, Tayeh, S, Theodoropoulou, K, Herman, A, Lau, J, Saha, A, Trotter, M, Adeleye, O, Cave, D, Gunwa, T, Magalhães, J, Makwana, S, Mason, R, Parish, M, Regan, H, Renwick, P, Roberts, G, Salekin, D, Sivakumar, C, Tariq, A, Liew, I, McDade, A, Stewart, D, Hague, M, Hudson-Peacock, N, Jackson, C E S, James, F, Pitt, J, Walker, E Y, Aftab, R, Ang, J J, Anwar, S, Battle, J, Budd, E, Chui, J, Crook, H, Davies, P, Easby, S, Hackney, E, Ho, B, Imam, S Z, Rammell, J, Andrews, H, Perry, C, Schinle, P, Ahmed, P, Aquilina, T, Balai, E, Church, M, Cumber, E, Curtis, A, Davies, G, Dennis, Y, Dumann, E, Greenhalgh, S, Kim, P, King, S, Metcalfe, K H M, Passby, L, Redgrave, N, Soonawalla, Z, Waters, S, Zornoza, A, Gulzar, I, Hole, J, Hull, K, Ishaq, H, Karaj, J, Kelkar, A, Love, E, Patel, S, Thakrar, D, Vine, M, Waterman, A, Dib, N P, Francis, N, Hanson, M, Ingleton, R, Sadanand, K S, Sukirthan, N, Arnell, S, Ball, M, Bassam, N, Beghal, G, Chang, A, Dawe, V, George, A, Huq, T, Hussain, A, Ikram, B, Kanapeckaite, L, Khan, M, Ramjas, D, Rushd, A, Sait, S, Serry, M, Yardimci, E, Capella, S, Chenciner, L, Episkopos, C, Karam, E, McCarthy, C, Moore-Kelly, W, Watson, N, Ahluwalia, V, Barnfield, J, Ben-Gal, O, Bloom, I, Gharatya, A, Khodatars, K, Merchant, N, Moonan, A, Moore, M, Patel, K, Spiers, H, Sundaram, K, Turner, J, Bath, M F, Black, J, Chadwick, H, Huisman, L, Ingram, H, Khan, S, Martin, L, Metcalfe, M, Sangal, P, Seehra, J, Thatcher, A, Venturini, S, Whitcroft, I, Afzal, Z, Brown, S, Gani, A, Gomaa, A, Hussein, N, Oh, S Y, Pazhaniappan, N, Sharkey, E, 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Beattie, S, Chadwick, M, El-Taji, O, Haddad, S, Mann, M, Patel, M, Popat, K, Rimmer, L, Riyat, H, Smith, H, Anandarajah, C, Cipparrone, M, Desai, K, Gao, C, Goh, E T, Howlader, M, Jeffreys, N, Karmarkar, A, Mathew, G, Mukhtar, H, Ozcan, E, Renukanthan, A, Sarens, N, Sinha, C, Woolley, A, Bogle, R, Komolafe, O, Loo, F, Waugh, D, Zeng, R, Crewe, A, Mathias, J, Mills, A, Owen, A, Prior, A, Saunders, I, Baker, A, Crilly, L, McKeon, J, Ubhi, H K, Adeogun, A, Carr, R, Davison, C, Devalia, S, Hayat, A, Karsan, R B, Osborne, C, Scott, K, Weegenaar, C, Wijeyaratne, M, Babatunde, F, Barnor-Ahiaku, E, Beattie, G, Chitsabesan, P, Dixon, O, Hall, N, Ilenkovan, N, Mackrell, T, Nithianandasivam, N, Orr, J, Palazzo, F, Saad, M, Sandland-Taylor, L, Sherlock, J, Ashdown, T, Chandler, S, Garsaa, T, Lloyd, J, Loh, S Y, Ng, S, Perkins, C, Powell-Chandler, A, Smith, F, and Underhill, R
- Published
- 2022
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50. Antimicrobial resistance and mastitis classification of pathogens in small ruminant mastitis
- Author
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Choo, K., primary, Byrne, B., additional, Chigerwe, M., additional, and Smith, F., additional
- Published
- 2024
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