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1.
J Intensive Care Soc ; 23(1): 34-43, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-37593533

RESUMO

Background: In March 2020, Covid-19 secondary to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was declared a global pandemic. Methods: This retrospective observational study included patients with Covid-19, managed in a single intensive care unit (ICU). We collected data on patient characteristics, laboratory and radiological findings and ICU management. Data are reported as median (interquartile range). Binary logistic regression modelling was used to identify variables at ICU admission associated with mortality. Results: 85 patients (age 57.3 years [49.4-64.2], 75.3% male) were followed up for 34 days (26-40). The commonest comorbidities were hypertension (51.8%), obesity (48.7%), and type 2 diabetes (31.8%). Covid-19 presented with shortness of breath (89.4%), fever (82.4%), and cough (81.2%), first noted 8 days (6-10) prior to ICU admission. PaO2/FiO2-ratios at ICU admission were 8.28 kPa (7.04-11.7). Bilateral infiltrates on chest X-ray, lymphopenia, and raised C-reactive protein and ferritin were typical. 81.2% received invasive mechanical ventilation (IMV). Acute kidney injury occurred in 62.4% with renal replacement therapy required in 20.0%. By the end of the follow-up period, 44.7% had died, 30.6% had been discharged from hospital, 14.1% had been discharged from ICU but remained in hospital and 10.6% remained in ICU. ICU length of stay was 14 days (9-23). Age was the only variable at admission which was associated with mortality. PaO2/FiO2-ratio, driving pressure and peak ferritin and neutrophil count over the first 72-hours of IMV all correlated with mortality. Conclusions: We report the clinical characteristics, ICU practices and outcomes of a South London cohort with Covid-19, and have identified factors which correlate with mortality. By sharing our insight, we hope to further understanding of this novel disease.

2.
BMJ Open ; 9(7): e025403, 2019 07 17.
Artigo em Inglês | MEDLINE | ID: mdl-31320343

RESUMO

OBJECTIVES: To determine if increased exposure to clinical specialties at medical school is associated with increased interest in pursuing that specialty as a career after foundation training. DESIGN: A retrospective observational study. SETTING: 31 UK medical schools were asked how much time students spend in each of the clinical specialties. We excluded two schools that were solely Graduate Entry, and two schools were excluded for insufficient information. MAIN OUTCOME MEASURES: Time spent on clinical placement from UK undergraduate medical schools, and the training destinations of graduates from each school. A general linear model was used to analyse the relationship between the number of weeks spent in a specialty at medical school and the percentage of graduates from that medical school entering each of the Core Training (CT1)/Specialty Training (ST1) specialties directly after Foundation Year 2 (FY2). RESULTS: Students spend a median of 85 weeks in clinical training. This includes a median of 28 weeks on medical firms, 15 weeks in surgical firms, and 8 weeks in general practice (GP). In general, the number of training posts available in a specialty was proportionate to the number of weeks spent in medical school, with some notable exceptions including GP. Importantly, we found that the number of weeks spent in a specialty at medical school did not predict the percentage of graduates of that school training in that specialty at CT1/ST1 level (ß coefficient=0.061, p=0.228). CONCLUSIONS: This study found that there was no correlation between the percentage of FY2 doctors appointed directly to a CT1/ST1 specialty and the length of time that they would have spent in those specialties at medical school. This suggests that curriculum adjustments focusing solely on length of time spent in a specialty in medical school would be unlikely to solve recruitment gaps in individual specialties.


Assuntos
Escolha da Profissão , Educação de Graduação em Medicina/organização & administração , Faculdades de Medicina , Especialização , Atitude do Pessoal de Saúde , Currículo , Feminino , Humanos , Masculino , Estudos Retrospectivos , Reino Unido , Adulto Jovem
3.
Sci Rep ; 7: 42976, 2017 02 20.
Artigo em Inglês | MEDLINE | ID: mdl-28218261

RESUMO

Bacteriophages (phages) infect many bacterial species, but little is known about the diversity of phages among the pneumococcus, a leading global pathogen. The objectives of this study were to determine the prevalence, diversity and molecular epidemiology of prophages (phage DNA integrated within the bacterial genome) among pneumococci isolated over the past 90 years. Nearly 500 pneumococcal genomes were investigated and RNA sequencing was used to explore prophage gene expression. We revealed that every pneumococcal genome contained prophage DNA. 286 full-length/putatively full-length pneumococcal prophages were identified, of which 163 have not previously been reported. Full-length prophages clustered into four major groups and every group dated from the 1930-40 s onward. There was limited evidence for genes shared between prophage clusters. Prophages typically integrated in one of five different sites within the pneumococcal genome. 72% of prophages possessed the virulence genes pblA and/or pblB. Individual prophages and the host pneumococcal genetic lineage were strongly associated and some prophages persisted for many decades. RNA sequencing provided clear evidence of prophage gene expression. Overall, pneumococcal prophages were highly prevalent, demonstrated a structured population, possessed genes associated with virulence, and were expressed under experimental conditions. Pneumococcal prophages are likely to play a more important role in pneumococcal biology and evolution than previously recognised.


Assuntos
Genoma Bacteriano , Prófagos/genética , Streptococcus pneumoniae/genética , Sequência de Bases , Análise por Conglomerados , Lisogenia/genética , Filogenia , Prófagos/classificação , Prófagos/fisiologia , RNA Bacteriano/química , RNA Bacteriano/isolamento & purificação , RNA Bacteriano/metabolismo , Alinhamento de Sequência , Análise de Sequência de DNA , Fatores de Virulência/genética
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