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678 results on '"Barer"'

2. Detection of Cell-Dissociated Non-Typeable Haemophilus influenzae in the Airways of Patients with Chronic Obstructive Pulmonary Disease

Author

Thulborn SJ, Ceroni A, Haldar K, Mistry V, Cane JL, Brightling CE, Barer MR, and Bafadhel M

Subjects
nthi infection neutrophils copd, Diseases of the respiratory system, RC705-779
Abstract

Samantha J Thulborn,1,2 Alessandro Ceroni,3 Koirobi Haldar,4 Vijay Mistry,4 Jennifer L Cane,1,2 Christopher E Brightling,4,5 Michael R Barer,4 Mona Bafadhel1 1Respiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK; 2Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK; 3Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK; 4Department of Immunity, Infection and Inflammation, University of Leicester, Leicester, UK; 5Institute for Lung Health, University of Leicester, Leicester, UKCorrespondence: Mona BafadhelRespiratory Medicine Unit, NDM Research Building, Old Campus Road, University of Oxford, Oxford OX3 7FZ, UKTel +44 1865 612898Email mona.bafadhel@ndm.ox.ac.ukBackground: Non-typeable Haemophilus influenzae (NTHi) is the most commonly found pathogen in the lower respiratory airways of patients with COPD. NTHi is predominantly regarded as an intracellular pathogen; however, like most pathogens, it can exist and co-exist in two broad forms: cell-associated (intracellularly or adhered to cells) or cell-dissociated (biofilm dispersed or planktonic). We sought to investigate if cell-dissociated NTHi can be detected from the sputum of COPD patients and assess this relationship to disease severity and airway inflammation.Methods: DNA was extracted from the sputum plug and cell-free supernatant to quantify absolute (cell-associated and cell-dissociated NTHi) and cell-dissociated NTHi, respectively, from 87 COPD subjects attending an observational longitudinal COPD exacerbation study. NTHi was quantified using TaqMan hydrolysis probes, targeting the OMP P6 gene using qPCR.Results: At stable state cell-dissociated NTHi was detected 56% of subjects with a median (IQR) of 9.95x102 gene copies (1.26x102 to 1.90x104). Cell-dissociated NTHi correlated with absolute NTHi levels (r=0.34, p< 0.01) but not airway inflammation or spirometry at stable state. At exacerbation, cell-dissociated NTHi correlated with lung function (FEV1 r=0.629, p=0.005; FEV1%predicted r=0.564, p=0.015; FVC r=0.476 p=0.046) and sputum neutrophilic inflammation (% neutrophils r=0.688, p=0.002; total neutrophils r=0.518, p=0.028).Conclusion: In patients with COPD, NTHi can exist in both cell-associated and cell-dissociated forms. Cell-dissociated NTHi is associated with neutrophilic airway inflammation during exacerbations of COPD and may be a driving factor in worsening lung function during these episodes.Keywords: NTHi, infection, neutrophils, COPD

Published
2020

4. What Factors Increase the Risk of Complications in SARS-CoV-2–Infected Patients? A Cohort Study in a Nationwide Israeli Health Organization

Author

Yanover, Chen, Mizrahi, Barak, Kalkstein, Nir, Marcus, Karni, Akiva, Pinchas, Barer, Yael, Shalev, Varda, and Chodick, Gabriel

Subjects
Public aspects of medicine, RA1-1270
Abstract

BackgroundReliably identifying patients at increased risk for coronavirus disease (COVID-19) complications could guide clinical decisions, public health policies, and preparedness efforts. Multiple studies have attempted to characterize at-risk patients, using various data sources and methodologies. Most of these studies, however, explored condition-specific patient cohorts (eg, hospitalized patients) or had limited access to patients’ medical history, thus, investigating related questions and, potentially, obtaining biased results. ObjectiveThis study aimed to identify factors associated with COVID-19 complications from the complete medical records of a nationally representative cohort of patients, with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. MethodsWe studied a cohort of all SARS-CoV-2–positive individuals, confirmed by polymerase chain reaction testing of either nasopharyngeal or saliva samples, in a nationwide health organization (covering 2.3 million individuals) and identified those who suffered from serious complications (ie, experienced moderate or severe symptoms of COVID-19, admitted to the intensive care unit, or died). We then compared the prevalence of pre-existing conditions, extracted from electronic health records, between complicated and noncomplicated COVID-19 patient cohorts to identify the conditions that significantly increase the risk of disease complications, in various age and sex strata. ResultsOf the 4353 SARS-CoV-2–positive individuals, 173 (4%) patients suffered from COVID-19 complications (all age ≥18 years). Our analysis suggests that cardiovascular and kidney diseases, obesity, and hypertension are significant risk factors for COVID-19 complications. It also indicates that depression (eg, males ≥65 years: odds ratio [OR] 2.94, 95% CI 1.55-5.58; P=.01) as well as cognitive and neurological disorders (eg, individuals ≥65 years old: OR 2.65, 95% CI 1.69-4.17; P

Published
2020
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5. Sputum Moraxella catarrhalis strains exhibit diversity within and between COPD subjects

Author

George LM, Haigh RD, Mistry V, Haldar K, Barer MR, Oggioni MR, and Brightling CE

Subjects
COPD, M. catarrhalis, strain change, exacerbation, Diseases of the respiratory system, RC705-779
Abstract

Leena M George,1,* Richard D Haigh,1,* Vijay Mistry,1 Koirobi Haldar,1 Michael R Barer,1 Marco R Oggioni,2 Christopher E Brightling1 1Department of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK; 2Department of Genetics, University of Leicester, Leicester, UK *These authors contributed equally to this work Purpose: Moraxella catarrhalis is implicated in the pathogenesis of some COPD exacerbations. We sought to investigate whether the M. catarrhalis strain is variable between COPD subjects; that an exacerbation is associated with acquisition of a new strain and that certain strains are more commonly associated with exacerbations. Patients and methods: Sputum samples were collected at stable and exacerbation visits from COPD subjects from a single center as part of the COPDMAP consortium. Samples identified as M. catarrhalis positive by qPCR were recultured in liquid cultures grown to extract genomic DNA; underwent Illumina MiSeq and bacterial genome sequences were de novo assembled and Multi Locus Sequence Type (MLST) was determined. Results: Thirty-five samples were obtained from 18 subjects. These included 13 stable and 22 exacerbation samples. The diversity between samples was very large with 25 different M. catarrhalis MLSTs being identified out of the 35 samples of which 12 MSLTs have not been described previously. Change and persistence of M. catarrhalis strain were observed between stable visits, from stable to exacerbation and vice-a-versa, and between exacerbation visits. Conclusion: Sputum M. catarrhalis strains exhibit marked diversity within and between COPD subjects. Acquisition of a new strain is common between stable and exacerbation events such that no strain is specifically associated with an exacerbation. Keywords: COPD, Moraxella catarrhalis, strain change, exacerbation

Published
2018

6. Investigating the role of pentraxin 3 as a biomarker for bacterial infection in subjects with COPD

Author

Thulborn SJ, Dilpazir M, Haldar K, Mistry V, Brightling CE, Barer MR, and Bafadhel M

Subjects
COPD, Pentraxin 3, Bacteria and Infection, Diseases of the respiratory system, RC705-779
Abstract

Samantha J Thulborn,1 Madiha Dilpazir,2 Koirobi Haldar,3 Vijay Mistry,3 Christopher E Brightling,3 Michael R Barer,3 Mona Bafadhel1 1Respiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, 2Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, 3Department of Immunity, Infection & Inflammation, University of Leicester, Leicester, UK Background: Pentraxin 3 (PTX3) is an acute phase protein, involved in antibacterial resistance. Recent studies have shown PTX3 levels to be elevated in the presence of a bacterial infection and in a murine sepsis model.Objective: We aim to investigate if sputum PTX3 can be used as a biomarker for bacterial infection in subjects with COPD.Materials and methods: Sputum samples from 142 COPD patients (102 men) with a mean (range) age of 69 years (45–85) and mean (SD) post-bronchodilator percentage predicted forced expiratory volume in 1 second (FEV1) of 50% (19) were analyzed for PTX3, using a commercial assay at stable state and during an exacerbation. Association with bacteria, from culture, quantitative real-time polymerase chain reaction (qPCR) and colony-forming units (CFU) was investigated.Results: The geometric mean (95% CI) PTX3 level at stable state was 50.5 ng/mL (41.4–61.7). PTX3 levels correlated with absolute neutrophil count in sputum (r=0.37; P105 CFU/mL at stable state) with a receiver-operating characteristic (ROC) area under the curve (AUC) of 0.59 and 95% confidence interval (CI) 0.43–0.76 (P=0.21). During an exacerbation, there was a modest increase in PTX3 (fold difference 0.15, 95% of difference 0.02–0.29; P=0.02), and PTX3 fared better at identifying a bacteria-associated exacerbation (ROC AUC 0.65, 95% CI 0.52–0.78, P=0.03).Conclusion: PTX3 is associated with bacterial infection in patients with COPD, but its utility as a biomarker for identifying a bacteria-associated exacerbation warrants further studies. Keywords: TNF-inducible gene 14 protein, infection, sputum

Published
2017

7. A gut microbiota rheostat forecasts responsiveness to PD-L1 and VEGF blockade in mesothelioma

Author

Zhang, Min, Bzura, Aleksandra, Baitei, Essa Y., Zhou, Zisen, Spicer, Jake B., Poile, Charlotte, Rogel, Jan, Branson, Amy, King, Amy, Barber, Shaun, Kamata, Tamihiro, Dzialo, Joanna, Harber, James, Greystoke, Alastair, Nusrat, Nada, Faulkner, Daniel, Sun, Qianqian, Nolan, Luke, Hahne, Jens C., Scotland, Molly, Walter, Harriet, Darlison, Liz, Morgan, Bruno, Bajaj, Amrita, Brookes, Cassandra, Hollox, Edward J., Lubawska, Dominika, Jama, Maymun, Griffiths, Gareth, Nakas, Apostolos, Kutywayo, Kudzayi, Luo, Jin-Li, Klampatsa, Astero, Cooper, Andrea, Halder, Koirobi, Wells-Jordan, Peter, Zhou, Huiyu, Dudbridge, Frank, Thomas, Anne, Richards, Catherine Jane, Pritchard, Catrin, Yang, Hongji, Barer, Michael, and Fennell, Dean A.

Published
2024
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8. Airway bacteria measured by quantitative polymerase chain reaction and culture in patients with stable COPD: relationship with neutrophilic airway inflammation, exacerbation frequency, and lung function

Author

Bafadhel M, Haldar K, Barker B, Patel H, Mistry V, Barer MR, Pavord ID, and Brightling CE

Subjects
Diseases of the respiratory system, RC705-779
Abstract

Mona Bafadhel,1 Koirobi Haldar,2 Bethan Barker,2,3 Hemu Patel,4 Vijay Mistry,2,3 Michael R Barer,2–4 Ian D Pavord,1 Christopher E Brightling2,3 1Respiratory Medicine Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK; 2Department of Infection, Immunity and Inflammation, University of Leicester, 3Institute for Lung Health, National Institute for Health Research Respiratory Biomedical Research Unit, Glenfield Hospital, University of Leicester, 4Department of Clinical Microbiology, University Hospitals of Leicester NHS Trust, Leicester, UK Background: Potentially pathogenic microorganisms can be detected by quantitative real-time polymerase chain reaction (qPCR) in sputum from patients with COPD, although how this technique relates to culture and clinical measures of disease is unclear. We used cross-sectional and longitudinal data to test the hypotheses that qPCR is a more sensitive measure of bacterial presence and is associated with neutrophilic airway inflammation and adverse clinical outcomes.Methods: Sputum was collected from 174 stable COPD subjects longitudinally over 12 months. Microbial sampling using culture and qPCR was performed. Spirometry and sputum measures of airway inflammation were assessed.Findings: Sputum was qPCR-positive (>106 copies/mL) in 77/152 samples (Haemophilus influenzae [n=52], Moraxella catarrhalis [n=24], Streptococcus pneumoniae [n=19], and Staphylococcus aureus [n=7]). Sputum was culture-positive in 50/174 samples, with 49 out of 50 culture-positive samples having pathogen-specific qPCR bacterial loads >106 copies/mL. Samples that had qPCR copy numbers >106/mL, whether culture-positive or not, had increased sputum neutrophil counts. H. influenzae qPCR copy numbers correlated with sputum neutrophil counts (r=0.37, P106/mL three or more times in 19 patients, eight of whom were repeatedly sputum culture-positive. Persistence, whether defined by culture, qPCR, or both, was associated with a higher sputum neutrophil count, lower forced expiratory volume in 1 second (FEV1), and worsened quality of life.Interpretation: qPCR identifies a significant number of patients with potentially bacteria-associated neutrophilic airway inflammation and disease that are not identified by traditional culture-based methods. Keywords: H. influenzae, qPCR, sputum

Published
2015

19. Prevalence, Trajectory, and Predictors of Poststroke Pain: Retrospective Analysis of Pooled Clinical Trial Data Set

Author

Ali, Myzoon, Tibble, Holly, Brady, Marian C., Quinn, Terence J., Sunnerhagen, Katharina S., Venketasubramanian, Narayanaswamy, Shuaib, Ashfaq, Pandyan, Anand, Mead, Gillian, Lees, K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Chen, C., Claesson, L., Curram, J., Davis, S.M., Diener, H-C., Donnan, G., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste (Emeritus), M., Lyden, P., Marler, J., Muir, K., Roffe, C., Teal, P., Wahlgren, N.G., Warach, S., Ali, M., Ashburn, A., Barer, D., Barzel, A., Bernhardt, J., Bowen, A., Drummond, A., Edmans, J., English, C., Gladman (Emeritus), J., Godecke, E., Hiekkala, S., Hoffman, T., Kalra, L., Kuys, S., Langhorne, P., Laska, A.C., Lees, K.R., Logan, P., Machner, B., Morris, J., Pollock, A., Pomeroy, V., Rodgers, H., Sackley, C., Shaw, L., Stott, D.J., Tyson, S., van Vliet, P., Walker, M., Whiteley, W., Hanley, D.F., Butcher, K., Davis, S., Gregson, B., Lees, K.R., Lyden, P., Mayer, S., Muir, K., and Steiner, T.

Published
2023
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22. Whispers in the Wind: Face Mask Sampling for Mycobacterium tuberculosis Detection in Children With Pulmonary Tuberculosis.

Author

Meiwes, Lennard, Kontsevaya, Irina, Chesov, Dumitru, Kulciţkaia, Stela, Dreyer, Viola, Hillemann, Doris, Dlamini, Qiniso, Williams, Caroline, Barer, Michael, Brinkmann, Folke, Krüger, Renate, Thee, Stephanie, Kay, Alexander, Mandalakas, Anna Maria, and Lange, Christoph

Subjects
MYCOBACTERIUM tuberculosis, TUBERCULOSIS, MEDICAL masks, POLYMERASE chain reaction, NUCLEOTIDE sequencing
Abstract

Background Recently, face mask sampling (FMS) confirmed detection of Mycobacterium tuberculosis DNA from exhaled breath in adults with tuberculosis. To date, no study has evaluated the use of FMS to detect pulmonary tuberculosis in children. We developed a method for FMS of M. tuberculosis- specific DNA in children and performed a clinical exploration to assess feasibility in children. Methods Face masks were spiked, analyzed on GeneXpert-Ultra, quantitative polymerase chain reaction, and targeted next-generation sequencing. Children with pulmonary tuberculosis were asked to wear 3 modified FFP2 masks for 30 minutes as part of an exploratory clinical study. Results Experiments with H37Ra M. tuberculosis strain showed a limit of 95% detection of 3.75 colony-forming units (95% confidence interval, 4.85–3.11) on GeneXpert-Ultra. Ten children with pulmonary tuberculosis participated in the clinical study. M. tuberculosis -specific DNA was detected on none of the face masks. Conclusions Pediatric FMS has a low limit of detection for M. tuberculosis -specific DNA in vitro. However, M. tuberculosis DNA was not detected in any of 30 masks worn by children with pulmonary tuberculosis. This suggests that FMS in this form may not be more effective for detecting M. tuberculosis in children with tuberculosis than existing methods. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Using the Barthel Index and modified Rankin Scale as Outcome Measures for Stroke Rehabilitation Trials; A Comparison of Minimum Sample Size Requirements

Author

Brady, M.C, Ali, M, Ashburn, A, Barer, D, Barzel, A, Bernhardt, J, Bowen, A, Drummond, A, Edmans, J, English, C, Gladman, J, Godecke, E, Hiekkala, S, Hoffman, T, Kalra, L, Kuys, S, Langhorne, P, Laska, A.C, Lees, K, Logan, P, Machner, B, Mead, G, Morris, J, Pandyan, A, Pollock, A, Pomeroy, V, Rodgers, H, Sackley, C, Shaw, L, Stott, D.J, Sunnerhagen, K.S, Tyson, S, van Vliet, P, Walker, M, Whiteley, W, McGill, Kris, Sackley, Catherine, Godwin, Jon, Gavaghan, David, Ali, Myzoon, Ballester, Belen Rubio, and Brady, Marian C

Published
2022
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26. Second asymptomatic carotid surgery trial (ACST-2): a randomised comparison of carotid artery stenting versus carotid endarterectomy

Author

Halliday, Alison, Bulbulia, Richard, Bonati, Leo H, Peto, Richard, Pan, Hongchao, Potter, John, Henning Eckstein, Hans, Farrell, Barbara, Flather, Marcus, Mansfield, Averil, Mihaylova, Boby, Rahimi, Kazim, Simpson, David, Thomas, Dafydd, Sandercock, Peter, Gray, Richard, Molyneux, Andrew, Shearman, Cliff P, Rothwell, Peter, Belli, Anna, Herrington, Will, Judge, Parminder, Leopold, Peter, Mafham, Marion, Gough, Michael, Cao, Piergiorgio, MacDonald, Sumaira, Bari, Vasha, Berry, Clive, Bradshaw, S, Brudlo, Wojciech, Clarke, Alison, Chester, Johanna, Cox, Robin, Cradduck-Bamford, Andrea, Fathers, Susan, Gaba, Kamran, Gray, Mo, Hayter, Elizabeth, Holliday, Constance, Kurien, Rijo, Lay, Michael, le Conte, Steffi, McManus, Jessica, Madgwick, Zahra, Morris, Dylan, Munday, Andrew, Pickworth, Sandra, Ostasz, Wiktor, Poorthuis, Michiel, Richards, Sue, Teixeira, Louisa, Tochlin, Sergey, Tully, Lynda, Wallis, Carol, Willet, Monique, Young, Alan, Casana, Renato, Malloggi, Chiara, Odero Jr, Andrea, Silani, Vincenzo, Parati, Gianfranco, Malchiodi, Giuseppe, Malferrari, Giovanni, Strozzi, Francesco, Tusini, Nicola, Vecchiati, Enrico, Coppi, Gioacchino, Lauricella, Antonio, Moratto, Roberto, Silingardi, Roberto, Veronesi, Jessica, Zini, Andrea, Ferrero, Emanuele, Ferri, Michelangelo, Gaggiano, Andrea, Labate, Carmelo, Nessi, Franco, Psacharopulo, Daniele, Viazzo, Andrea, Malacrida, Giovanni, Mazzaccaro, Daniela, Meola, Giovanni, Modafferi, Alfredo, Nano, Giovanni, Occhiuto, Maria Teresa, Righini, Paolo, Stegher, Silvia, Chiarandini, Stefano, Griselli, Filippo, Lepidi, Sandro, Pozzi Mucelli, Fabio, Naccarato, Marcello, D'Oria, Mario, Ziani, Barbara, Stella, Andrea, Dieng, Mortalla, Faggioli, Gianluca, Gargiulo, Mauro, Palermo, Sergio, Pini, Rodolfo, Puddu, Giovanni Maria, Vacirca, Andrea, Angiletta, Domenico, Desantis, Claudio, Marinazzo, Davide, Mastrangelo, Giovanni, Regina, Guido, Pulli, Raffaele, Bianchi, Paolo, Cireni, Lea, Coppi, Elisabetta, Pizzirusso, Rocco, Scalise, Filippo, Sorropago, Giovanni, Tolva, Valerio, Caso, Valeria, Cieri, Enrico, DeRango, Paola, Farchioni, Luca, Isernia, Giacomo, Lenti, Massimo, Parlani, Gian Battista, Pupo, Guglielmo, Pula, Grazia, Simonte, Gioele, Verzini, Fabio, Carimati, Federico, Delodovici, Maria Luisa, Fontana, Federico, Piffaretti, Gabriele, Tozzi, Matteo, Civilini, Efrem, Poletto, Giorgio, Reimers, Bernhard, Praquin, Barbara, Ronchey, Sonia, Capoccia, Laura, Mansour, Wassim, Sbarigia, Enrico, Speziale, Francesco, Sirignano, Pasqualino, Toni, Danilo, Galeotti, Roberto, Gasbarro, Vincenzo, Mascoli, Francesco, Rocca, Tiberio, Tsolaki, Elpiniki, Bernardini, Giulia, DeMarco, Ester, Giaquinta, Alessia, Patti, Francesco, Veroux, Massimiliano, Veroux, Pierfrancesco, Virgilio, Carla, Mangialardi, Nicola, Orrico, Matteo, Di Lazzaro, Vincenzo, Montelione, Nunzio, Spinelli, Francesco, Stilo, Francesco, Cernetti, Carlo, Irsara, Sandro, Maccarrone, Giuseppe, Tonello, Diego, Visonà, Adriana, Zalunardo, Beniamino, Chisci, Emiliano, Michelagnoli, Stefano, Troisi, Nicola, Masato, Maela, Dei Negri, Massimo, Pacchioni, Andrea, Saccà, Salvatore, Amatucci, Giovanni, Cannizzaro, Alfredo, Accrocca, Federico, Ambrogi, Cesare, Barbazza, Renzo, Marcucci, Giustino, Siani, Andrea, Bajardi, Guido, Savettieri, Giovanni, Argentieri, Angelo, Corbetta, Riccardo, Odero, Attilio, Quaretti, Pietro, Thyrion, Federico Z, Cappelli, Alessandro, Benevento, Domenico, De Donato, Gianmarco, Mele, Maria Agnese, Palasciano, Giancarlo, Pieragalli, Daniela, Rossi, Alessandro, Setacci, Carlo, Setacci, Francesco, Palombo, Domenico, Perfumo, Maria Cecilia, Martelli, Edoardo, Paolucci, Aldo, Trimarchi, Santi, Grassi, Viviana, Grimaldi, Luigi, La Rosa, Giuliana, Mirabella, Domenico, Scialabba, Matteo, Sichel, Leonildo, D'Angelo, Costantino L, Fadda, Gian Franco, Kasemi, Holta, Marino, Mario, Burzotta, Francesco, Codispoti, Francesco Alberto, Ferrante, Angela, Tinelli, Giovanni, Tshomba, Yamume, Vincenzoni, Claudio, Amis, Deborah, Anderson, Dawn, Catterson, Martin, Clarke, Mike, Davis, Michelle, Dixit, Anand, Dyker, Alexander, Ford, Gary, Jackson, Ralph, Kappadath, Sreevalsan, Lambert, David, Lees, Tim, Louw, Stephen, McCaslin, James, Parr, Noala, Robson, Rebecca, Stansby, Gerard, Wales, Lucy, Wealleans, Vera, Wilson, Lesley, Wyatt, Michael, Baht, Hardeep, Balogun, Ibrahim, Burger, Ilse, Cosier, Tracy, Cowie, Linda, Gunathilagan, Gunaratnam, Hargroves, David, Insall, Robert, Jones, Sally, Rudenko, Hannah, Schumacher, Natasha, Senaratne, Jawaharlal, Thomas, George, Thomson, Audrey, Webb, Tom, Brown, Ellen, Esisi, Bernard, Mehrzad, Ali, MacSweeney, Shane, McConachie, Norman, Southam, Alison, Sunman, Wayne, Abdul-Hamiq, Ahmed, Bryce, Jenny, Chetter, Ian, Ettles, Duncan, Lakshminarayan, Raghuram, Mitchelson, Kim, Rhymes, Christopher, Robinson, Graham, Scott, Paul, Vickers, Alison, Ashleigh, Ray, Butterfield, Stephen, Gamble, Ed, Ghosh, Jonathan, McCollum, Charles N, Welch, Mark, Welsh, Sarah, Wolowczyk, Leszek, Donnelly, Mary, D'Souza, Stephen, Egun, Anselm A, Gregary, Bindu, Joseph, Thomas, Kelly, Christine, Punekar, Shuja, Rahi, M Asad, Raj, Sonia, Seriki, Dare, Thomson, George, Brown, James, Durairajan, Ragunath, Grunwald, Iris, Guyler, Paul, Harman, Paula, Jakeways, Matthew, Khuoge, Christopher, Kundu, Ashish, Loganathan, Thayalini, Menon, Nisha, Prabakaran, Raji O, Sinha, Devesh, Thompson, Vicky, Tysoe, Sharon, Briley, Dennis, Darby, Chris, Hands, Linda, Howard, Dominic, Kuker, Wilhelm, Schulz, Ursula, Teal, Rachel, Barer, David, Brown, Andrew, Crawford, Susan, Dunlop, Paul, Krishnamurthy, Ramesh, Majmudar, Nikhil, Mitchell, Duncan, Myint, Min P, O'Brien, Richard, O'Connell, Janice, Sattar, Naweed, Vetrivel, Shanmugam, Beard, Jonathan, Cleveland, Trevor, Gaines, Peter, Humphreys, John, Jenkins, Alison, King, Craig, Kusuma, Daniel, Lindert, Ralph, Lonsdale, Robbie, Nair, Raj, Nawaz, Shah, Okhuoya, Faith, Turner, Douglas, Venables, Graham, Dorman, Paul, Hughes, Andrea, Jones, Deborah, Mendelow, David, Rodgers, Helen, Raudoniitis, Aidas, Enevoldson, Peter, Nahser, Hans, O'Brien, Imelda, Torella, Francesco, Watling, Dave, White, Richard, Brown, Pauline, Dutta, Dipankar, Emerson, Lorraine, Hilltout, Paula, Kulkarni, Sachin, Morrison, Jackie, Poskitt, Keith, Slim, Fiona, Smith, Sarah, Tyler, Amanda, Waldron, Joanne, Whyman, Mark, Bajoriene, Milda, Baker, Lucy, Colston, Amanda, Eliot-Jones, Bekky, Gramizadeh, Gita, Lewis-Clarke, Catherine, McCafferty, Laura, Oliver, Deborah, Palmer, Debbie, Patil, Abhijeet, Pegler, Suzannah, Ramadurai, Gopi, Roberts, Aisling, Sargent, Tracey, Siddegowda, Shivaprasad, Singh-Ranger, Ravi, Williams, Akintunde, Williams, Lucy, Windebank, Steve, Zuromskis, Tadas, Alwis, Lanka, Angus, Jane, Asokanathan, Asaipillai, Fornolles, Caroline, Hardy, Diana, Hunte, Sophy, Justin, Frances, Phiri, Duke, Mitabouana-Kibou, Marie, Sekaran, Lakshmanan, Sethuraman, Sakthivel, Tate, Margaret L, Akyea-Mensah, Joyce, Ball, Stephen, Chrisopoulou, Angela, Keene, Elizabeth, Phair, Alison, Rogers, Steven, Smyth, John V, Bicknell, Colin, Chataway, Jeremy, Cheshire, Nicholas, Clifton, Andrew, Eley, Caroline, Gibbs, Richard, Hamady, Mohammad, Hazel, Beth, James, Alex, Jenkins, Michael, Khanom, Nyma, Lacey, Austin, Mireskandari, Maz, O'Reilly, Joanna, Pereira, Antony, Sachs, Tina, Wolfe, John, Davey, Philip, Rogers, Gill, Smith, Gemma, Tervit, Gareth, Nichol, Ian, Parry, Andrew, Young, Gavin, Ashley, Simon, Barwell, James, Dix, Francis, Nor, Azlisham M, Parry, Chris, Birt, Angela, Davies, Paul, George, Jim, Graham, Anne, Jonker, Leon, Kelsall, Nicci, Potts, Caroline, Wilson, Toni, Crinnion, Jamie, Cuenoud, Larissa, Aleksic, Nikola, Babic, Srdan, Ilijevski, Nenad, Radak, Đorde, Sagic, Dragan, Tanaskovic, Slobodan, Colic, Momcilo, Cvetic, Vladimir, Davidovic, Lazar, Jovanovic, Dejana R, Koncar, Igor, Mutavdžic, Perica, Sladojevic, Miloš, Tomic, Ivan, Debus, Eike S, Grzyska, Ulrich, Otto, Dagmar, Thomalla, Götz, Barlinn, Jessica, Gerber, Johannes, Haase, Kathrin, Hartmann, Christian, Ludwig, Stefan, Pütz, Volker, Reeps, Christian, Schmidt, Christine, Weiss, Norbert, Werth, Sebastian, Winzer, Simon, Gemper, Janine, Günther, Albrecht, Heiling, Bianka, Jochmann, Elisabeth, Karvouniari, Panagiota, Klingner, Carsten, Mayer, Thomas, Schubert, Julia, Schulze-Hartung, Friederike, Zanow, Jürgen, Bausback, Yvonne, Borger, Franka, Botsios, Spiridon, Branzan, Daniela, Bräunlich, Sven, Hölzer, Henryk, Lenzer, Janin, Piorkowski, Christopher, Richter, Nadine, Schuster, Johannes, Scheinert, Dierk, Schmidt, Andrej, Staab, Holger, Ulrich, Matthias, Werner, Martin, Berger, Hermann, Biró, Gábor, Eckstein, Hans-Henning, Kallmayer, Michael, Kreiser, Kornelia, Zimmermann, Alexander, Berekoven, Bärbel, Frerker, Klaus, Gordon, Vera, Torsello, Giovanni, Arnold, Sebastian, Dienel, Cora, Storck, Martin, Biermaier, Bernhard, Gissler, Hans Martin, Klötzsch, Christof, Pfeiffer, Tomas, Schneider, Ralph, Söhl, Leander, Wennrich, Michael, Alonso, Angelika, Keese, Michael, Groden, Christoph, Cöster, Andreas, Engelhardt, Andreas, Ratusinski, Christoph-Maria, Berg, Bengt, Delle, Martin, Formgren, Johan, Gillgren, Peter, Jarl, Lotta, Kall, Torbjörn B, Konrad, Peter, Nyman, Niklas, Skiöldebrand, Claes, Steuer, Johnny, Takolander, Rabbe, Malmstedt, Jonas, Acosta, Stefan, Björses, Katarina, Brandt, Kerstin, Dias, Nuno, Gottsäter, Anders, Holst, Jan, Kristmundsson, Thorarinn, Kühme, Tobias, Kölbel, Tilo, Lindblad, Bengt, Lindh, Mats, Malina, Martin, Ohrlander, Tomas, Resch, Tim, Rönnle, Viola, Sonesson, Björn, Warvsten, Margareta, Zdanowski, Zbigniew, Campbell, Erik, Kjellin, Per, Lindgren, Hans, Nyberg, Johan, Petersen, Björn, Plate, Gunnar, Pärsson, Håkan, Qvarfordt, Peter, Ignatenko, Pavel, Karpenko, Andrey, Starodubtsev, Vladimir, Chernyavsky, Mikhail A, Golovkova, Maria S, Komakha, Boris B, Zherdev, Nikolay N, Belyasnik, Andrey, Chechulov, Pavel, Kandyba, Dmitry, Stepanishchev, Igor, Csobay-Novák, Csaba, Dósa, Edit, Entz, László, Nemes, Balázs, Szeberin, Zoltán, Barzó, Pál, Bodosi, Mihaly, Fákó, Eniko, Fülöp, Béla, Németh, Tamás, Pazdernyik, Szilárd, Skoba, Krisztina, Vörös, Erika, Chatzinikou, Eleni, Giannoukas, Athanasios, Karathanos, Christos, Koutsias, Stylianos, Kouvelos, Georgios, Matsagkas, Miltiadis, Ralli, Styliani, Rountas, Christos, Rousas, Nikolaos, Spanos, Konstantinos, Brountzos, Elias, Kakisis, John D, Lazaris, Andreas, Moulakakis, Konstantinos G, Stefanis, Leonidas, Tsivgoulis, Georgios, Vasdekis, Spyros, Antonopoulos, Constantine N, Bellenis, Ion, Maras, Dimitrios, Polydorou, Antonios, Polydorou, Victoria, Tavernarakis, Antonios, Ioannou, Nikolaos, Terzoudi, Maria, Lazarides, Miltos, Mantatzis, Michalis, Vadikolias, Kostas, Dzieciuchowicz, Lukasz, Gabriel, Marcin, Krasinski, Zbigniew, Oszkinis, Grzegorz, Pukacki, Fryderyk, Slowinski, Maciej, Stanišic, Michal-Goran, Staniszewski, Ryszard, Tomczak, Jolanta, Zielinski, Maciej, Myrcha, Piotr, Rózanski, Dorota, Drelichowski, Stanislaw, Iwanowski, Wojciech, Koncewicz, Katarzyna, Bialek, Pawel, Biejat, Zbigniew, Czepel, Wojciech, Czlonkowska, Anna, Dowzenko, Anatol, Jedrzejewska, Julia, Kobayashi, Adam, Leszczynski, Jerzy, Malek, Andrzej, Polanski, Jerzy, Proczka, Robert, Skorski, Maciej, Szostek, Mieczyslaw, Andziak, Piotr, Dratwicki, Maciej, Gil, Robert, Nowicki, Miroslaw, Pniewski, Jaroslaw, Rzezak, Jaroslaw, Seweryniak, Piotr, Dabek, Pawel, Juszynski, Michal, Madycki, Grzegorz, Pacewski, Bartosz, Raciborski, Witold, Slowinski, Piotr, Staszkiewicz, Walerian, Bombic, Martin, Chlouba, Vladimír, Fiedler, Jirí, Hes, Karel, Koštál, Petr, Sova, Jindrich, Kríž, Zdenek, Prívara, Mojmír, Reif, Michal, Staffa, Robert, Vlachovský, Robert, Vojtíšek, Bohuslav, Hrbác, Tomáš, Kuliha, Martin, Procházka, Václav, Roubec, Martin, Školoudík, David, Netuka, David, Šteklácová, Anna, Beneš III, Vladimír, Buchvald, Pavel, Endrych, Ladislav, Šercl, Miroslav, Campos Jr, Walter, Casella, Ivan B, de Luccia, Nelson, Estenssoro, André E V, Presti, Calógero, Puech-Leão, Pedro, Neves, Celso R B, da Silva, Erasmo S, Sitrângulo Jr, Cid J, Monteiro, José A T, Tinone, Gisela, Bellini Dalio, Marcelo, Joviliano, Edwaldo E, Pontes Neto, Octávio M, Serra Ribeiro, Mauricio, Cras, Patrick, Hendriks, Jeroen M H, Hoppenbrouwers, Mieke, Lauwers, Patrick, Loos, Caroline, Yperzeele, Laetitia, Geenens, Mia, Hemelsoet, Dimitri, van Herzeele, Isabelle, Vermassen, Frank, Astarci, Parla, Hammer, Frank, Lacroix, Valérie, Peeters, André, Verhelst, Robert, Cirelli, Silvana, Dormal, Pol, Grimonprez, Annelies, Lambrecht, Bart, Lerut, Philipe, Thues, Eddy, De Koster, Guy, Desiron, Quentin, Maertens de Noordhout, Alain, Malmendier, Danielle, Massoz, Mireille, Saad, Georges, Bosiers, Marc, Callaert, Joren, Deloose, Koen, Blanco Cañibano, Estrella, García Fresnillo, Beatriz, Guerra Requena, Mercedes, Morata Barrado, Pilar C, Muela Méndez, Miguel, Yusta Izquierdo, Antonio, Aparici Robles, Fernando, Blanes Orti, Paula, García Dominguez, Luis, Martínez López, Rafael, Miralles Hernández, Manuel, Tembl Ferrairo, José I, Chamorro, Ángel, Macho, Juan, Obach, Víctor, Riambau, Vincent, San Román, Luis, Ahlhelm, Frank J, Blackham, Kristine, Engelter, Stefan, Eugster, Thomas, Gensicke, Henrik, Gürke, Lorenz, Lyrer, Philippe, Mariani, Luigi, Maurer, Marina, Mujagic, Edin, Müller, Mandy, Psychogios, Marios, Stierli, Peter, Stippich, Christoph, Traenka, Christopher, Wolff, Thomas, Wagner, Benjamin, Wiegert, Martina M, Clarke, Sandra, Diepers, Michael, Gröchenig, Ernst, Gruber, Philipp, Isaak, Andrej, Kahles, Timo, Marti, Regula, Nedeltchev, Krassen, Remonda, Luca, Tissira, Nadir, Valença Falcão, Martina, de Borst, Gert J, Lo, Rob H, Moll, Frans L, Toorop, Raechel, van der Worp, Bart H, Vonken, Evert J, Kappelle, Jaap L, Jahrome, Ommid, Vos, Floris, Schuiling, Wouter, van Overhagen, Hendrik, Keunen, Rudolf W M, Knippenberg, Bob, Wever, Jan J, Lardenoije, Jan W, Reijnen, Michel, Smeets, Luuk, van Sterkenburg, Steven, Fraedrich, Gustav, Gizewski, Elke, Gruber, Ingrid, Knoflach, Michael, Kiechl, Stefan, Rantner, Barbara, Abdulamit, Timur, Bergeron, Patrice, Padovani, Raymond, Trastour, Jean-Christophe, Cardon, Jean-Marie, Le Gallou-Wittenberg, Anne, Allaire, Eric, Becquemin, Jean-Pierre, Cochennec-Paliwoda, Frédéric, Desgranges, Pascal, Hosseini, Hassan, Kobeiter, Hicham, Marzelle, Jean, Almekhlafi, Mohammed A, Bal, Simerpreet, Barber, Phillip A, Coutts, Shelagh B, Demchuk, Andrew M, Eesa, Muneer, Gillies, Michelle, Goyal, Mayank, Hill, Michael D, Hudon, Mark E, Jambula, Anitha, Kenney, Carol, Klein, Gary, McClelland, Marie, Mitha, Alim, Menon, Bijoy K, Morrish, William F, Peters, Steven, Ryckborst, Karla J, Samis, Greg, Save, Supriya, Smith, Eric E, Stys, Peter, Subramaniam, Suresh, Sutherland, Garnette R, Watson, Tim, Wong, John H, Zimmel, L, Flis, Vojko, Matela, Jože, Miksic, Kazimir, Milotic, Franko, Mrdja, Božidar, Stirn, Barbara, Tetickovic, Erih, Gasparini, Mladen, Grad, Anton, Kompara, Ingrid, Miloševic, Zoren, Palmiste, Veronika, Toomsoo, Toomas, Aidashova, Balzhan, Kospanov, Nursultan, Lyssenko, Roman, Mussagaliev, Daulet, Beyar, Rafi, Hoffman, Aaron, Karram, Tony, Kerner, Arthur, Nikolsky, Eugenia, Nitecki, Samy, Andonova, Silva, Bachvarov, Chavdar, Petrov, Vesko, Cvjetko, Ivan, Vidjak, Vinko, Halužan, Damir, Petrunic, Mladen, Liu, Bao, Liu, Chang-Wei, Bartko, Daniel, Beno, Peter, Rusnák, František, Zelenák, Kamil, Ezura, Masayuki, Inoue, Takashi, Kimura, Naoto, Kondo, Ryushi, Matsumoto, Yasushi, Shimizu, Hiroaki, Endo, Hidenori, Furui, Eisuke, Bakke, Søren, Krohg-Sørensen, Kristen, Nome, Terje, Skjelland, Mona, Tennøe, Bjørn, Albuquerque e Castro, João, Alves, Gonçalo, Bastos Gonçalves, Frederico, de Aragão Morais, José, Garcia, Ana C, Valentim, Hugo, Vasconcelos, Leonor, Belcastro, Fernando, Cura, Fernando, Zaefferer, Patricio, Abd-Allah, Foad, Eldessoki, Mohamed H, Heshmat Kassem, Hussein, Soliman Gharieb, Haytham, Colgan, Mary P, Haider, Syed N, Harbison, Joe, Madhavan, Prakash, Moore, Dermot, Shanik, Gregor, Kazan, Viviane, Nazzal, Munier, and Ramsey-Williams, Vicki

Published
2021
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27. Lung microbiome composition and bronchial epithelial gene expression in patients with COPD versus healthy individuals: a bacterial 16S rRNA gene sequencing and host transcriptomic analysis

Author

Ramsheh, Mohammadali Yavari, Haldar, Koirobi, Esteve-Codina, Anna, Purser, Lillie F, Richardson, Matthew, Müller-Quernheim, Joachim, Greulich, Timm, Nowinski, Adam, Barta, Imre, Stendardo, Mariarita, Boschetto, Piera, Korzybski, Damian, Prasse, Antje, Parr, David G, Hohlfeld, Jens M, Döme, Balázs, Welte, Tobias, Heath, Simon, Gut, Ivo, Morrissey, Julie A, Ziegler-Heitbrock, Loems, Barer, Michael R, Singh, Dave, and Brightling, Christopher E

Published
2021
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30. Mycobacterial Lipid Bodies and the Chemosensitivity and Transmission of Tuberculosis

Author

Garton, Natalie J., Barer, Michael R., Timmis, Kenneth N., Editor-in-Chief, Boll, Matthias, Series Editor, Geiger, Otto, Series Editor, Goldfine, Howard, Series Editor, Krell, Tino, Series Editor, Lee, Sang Yup, Series Editor, McGenity, Terry J., Series Editor, Rojo, Fernando, Series Editor, Sousa, Diana Z., Series Editor, Stams, Alfons J. M., Series Editor, Steffan, Robert J., Series Editor, and Wilkes, Heinz, Series Editor

Published
2020
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31. A dose escalation study to evaluate the safety of an aerosol BCG infection in previously BCG-vaccinated healthy human UK adults.

Author

Fredsgaard-Jones, Timothy, Harris, Stephanie A., Morrison, Hazel, Ateere, Alberta, Nassanga, Beatrice, Ramon, Raquel Lopez, Mitton, Celia, Fletcher, Eve, Decker, Jonathan, Preston-Jones, Hannah, Jackson, Susan, Mawer, Andrew, Satti, Iman, Barer, Michael, Hinks, Timothy, Bettinson, Henry, and McShane, Helen

Subjects
PULMONARY function tests, TUBERCULOSIS vaccines, MYCOBACTERIUM tuberculosis, BRONCHOALVEOLAR lavage, VACCINE development
Abstract

Introduction: Tuberculosis (TB) is the leading cause of death worldwide from a single infectious agent. Bacillus Calmette-Guérin (BCG), the only licensed vaccine, provides limited protection. Controlled human infection models (CHIMs) are useful in accelerating vaccine development for pathogens with no correlates of protection; however, the need for prolonged treatment makes Mycobacterium tuberculosis an unethical challenge agent. Aerosolised BCG provides a potential safe surrogate of infection. A CHIM in BCG-vaccinated as well as BCG-naïve individuals would allow identification of novel BCG-booster vaccine candidates and facilitate CHIM studies in populations with high TB endemicity. The purpose of this study was to evaluate the safety and utility of an aerosol BCG CHIM in historically BCG-vaccinated volunteers. Methods: There were 12 healthy, historically BCG-vaccinated UK adults sequentially enrolled into dose-escalating groups. The first three received 1 × 104 CFU aerosol BCG Danish 1331 via a nebuliser. After safety review, subsequent groups received doses of 1 × 105 CFU, 1 × 106 CFU, or 1 × 107 CFU. Safety was monitored through self-reported adverse events (AEs), laboratory tests, and lung function testing. Immunology blood samples were taken pre-infection and at multiple timepoints post-infection. A bronchoalveolar lavage (BAL) taken 14 days post-infection was analysed for presence of live BCG. Results: No serious AEs occurred during the study. Solicited systemic and respiratory AEs were frequent in all groups, but generally short-lived and mild in severity. There was a trend for more reported AEs in the highest-dose group. No live BCG was detected in BAL from any volunteers. Aerosol BCG induced potent systemic cellular immune responses in the highest-dose group 7 days post-infection. Discussion: Aerosol BCG infection up to a dose of 1 × 107 CFU was well-tolerated in historically BCG-vaccinated healthy, UK adults. No live BCG was detected in the BAL fluid 14 days post-infection despite potent systemic responses, suggesting early clearance. Further work is needed to expand the number of volunteers receiving BCG via the aerosol route to refine and establish utility of this aerosol BCG CHIM. Clinical trial registration: https://clinicaltrials.gov/ , identifier NCT04777721. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Epidemiology and Healthcare Service Utilization among Adults with Chronic Cough.

Author

Chodick, Gabriel, Barer, Yael, Blay Hagai, Tal, Keidar, Ido, Rosenfeld Teper, Gally, Kopel, Hagit, and Berkman, Neville

Subjects
*CHRONIC cough, *ADULTS, *WHOOPING cough, *EPIDEMIOLOGY, *MEDICAL care
Abstract

Background and objective: Chronic cough (CC) is a prevalent yet underexplored medical condition, with limited real-world data regarding its healthcare burden. This study investigates the epidemiology, associated comorbidities, and healthcare service utilization among patients with CC. Methods: In this retrospective cohort study, adult patients with at least 3 physician diagnoses of cough over a period spanning a minimum of 8 weeks and a maximum of 12 months anytime between 2009 and 2018, were defined as patients with CC (PwCC). The reference group were adults without cough matched in a 1:1 ratio for age, sex, and place of residence. Results: The study included 91,757 PwCC, reflecting a prevalence of 5.5%. Of those, 59,296 patients (mean [SD] age, 53.9 [16.8] years; 59.6% females) were first diagnosed with CC during the study period, representing a 10-year incidence rate of 3.26% (95%CI: 3.24–3.29%). Diseases associated with the highest OR for CC included lung cancer (OR = 3.32; 95%CI: 2.90–4.25), whooping cough (OR = 3.04; 95%CI: 2.70–3.60), and respiratory infections (OR = 2.81; 95%CI: 2.74–2.88). Furthermore, PwCC demonstrated increased healthcare service utilization, leading to a higher adjusted annual estimated mean cost (USD 4038 vs. USD 1833, p < 0.001). Conclusions: Chronic cough emerges as a relatively prevalent complaint within community care, exerting a considerable economic burden. This study underscores the need for heightened awareness, comprehensive management strategies, and resource allocation to address the multifaceted challenges associated with chronic cough. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Biological exacerbation clusters demonstrate asthma and chronic obstructive pulmonary disease overlap with distinct mediator and microbiome profiles

Author

Ghebre, Michael A., Pang, Pee Hwee, Diver, Sarah, Desai, Dhananjay, Bafadhel, Mona, Haldar, Koirobi, Kebadze, Tatiana, Cohen, Suzanne, Newbold, Paul, Rapley, Laura, Woods, Joanne, Rugman, Paul, Pavord, Ian D., Johnston, Sebastian L., Barer, Michael, May, Richard D., and Brightling, Christopher E.

Published
2018
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45. Trends in Providing Out-of-Office, Urgent After-Hours, and On-Call Care in British Columbia

Author

Hedden, Lindsay, Lavergne, M. Ruth, McGrail, Kimberlyn M., Law, Michael R., Bourgeault, Ivy L., McCracken, Rita, and Barer, Morris L.

Subjects
Methods, Forecasts and trends, Market trend/market analysis, Medical care utilization -- Forecasts and trends -- Methods, Work hours -- Forecasts and trends -- Methods, Primary health care -- Methods -- Forecasts and trends
Abstract

INTRODUCTION Achieving high quality and patient-centered care requires health care system structures that support physician service delivery outside regular office hours and away from regular office locations. For example, when [...], PURPOSE Providing care in alternative (non-office) locations and outside office hours are important elements of access and comprehensiveness of primary care. We examined the trends in and determinants of the services provided in a cohort of primary care physicians in British Columbia, Canada. METHODS We used physician-level payments for all primary care physicians practicing in British Columbia from 2006-2007 through 2011-2012. We examined the association between physician demographics and practice characteristics and payment for care in alternative locations and after hours across rural, urban, and metropolitan areas using longitudinal mixed-effects models. RESULTS The proportion of physicians who provided care in alternative locations and after hours declined significantly during the period, in rural, urban, and metropolitan practices. Declines ranged from 5% for long-term care facility visits to 22% for after-hours care. Female physicians, and those in the oldest age category, had lower odds of providing care at alternative locations and for urgent after-hours care. Compared with those practicing in metropolitan centers, physicians working in rural areas had significantly higher odds of providing care both in alternative locations and after hours. CONCLUSION Care provided in non-office locations and after office hours declined significantly during the study period. Jurisdictions where providing these services are not mandated, and where similar workforce demographic shifts are occurring, may experience similar accessibility challenges. Key words: primary health care; physicians; primary care; after-hours care; British Columbia; cohort studies

Published
2019
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46. Concomitant, consecutive, self-obtained facemask and swab samples from exhaled breath, pox lesions, nasopharynx and the face in patients recovering from mpox – A longitudinal sampling study

Author

Pan, Daniel, primary, Atkinson, Barry, additional, Decker, Jonathan, additional, Williams, Caroline M., additional, Nazareth, Joshua, additional, Martin, Christopher A., additional, Bird, Paul, additional, Fahad, Muhammad, additional, Nicholls, Ian, additional, Spencer, Antony, additional, Onianwa, Okechukwu, additional, Vogt, Alexander, additional, Sahota, Amandip, additional, Tang, Julian W., additional, Stephenson, Iain, additional, Bennett, Allan M., additional, Pareek, Manish, additional, and Barer, Michael R., additional

Published
2023
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