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10.1016/S1473-3099(20)30371-6

http://scihub22266oqcxt.onion/10.1016/S1473-3099(20)30371-6
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32422204!7228715!32422204
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suck abstract from ncbi


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pmid32422204      Lancet+Infect+Dis 2020 ; 20 (9): 1034-1042
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  • Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study #MMPMID32422204
  • de Lusignan S; Dorward J; Correa A; Jones N; Akinyemi O; Amirthalingam G; Andrews N; Byford R; Dabrera G; Elliot A; Ellis J; Ferreira F; Lopez Bernal J; Okusi C; Ramsay M; Sherlock J; Smith G; Williams J; Howsam G; Zambon M; Joy M; Hobbs FDR
  • Lancet Infect Dis 2020[Sep]; 20 (9): 1034-1042 PMID32422204show ga
  • BACKGROUND: There are few primary care studies of the COVID-19 pandemic. We aimed to identify demographic and clinical risk factors for testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre primary care network. METHODS: We analysed routinely collected, pseudonymised data for patients in the RCGP Research and Surveillance Centre primary care sentinel network who were tested for SARS-CoV-2 between Jan 28 and April 4, 2020. We used multivariable logistic regression models with multiple imputation to identify risk factors for positive SARS-CoV-2 tests within this surveillance network. FINDINGS: We identified 3802 SARS-CoV-2 test results, of which 587 were positive. In multivariable analysis, male sex was independently associated with testing positive for SARS-CoV-2 (296 [18.4%] of 1612 men vs 291 [13.3%] of 2190 women; adjusted odds ratio [OR] 1.55, 95% CI 1.27-1.89). Adults were at increased risk of testing positive for SARS-CoV-2 compared with children, and people aged 40-64 years were at greatest risk in the multivariable model (243 [18.5%] of 1316 adults aged 40-64 years vs 23 [4.6%] of 499 children; adjusted OR 5.36, 95% CI 3.28-8.76). Compared with white people, the adjusted odds of a positive test were greater in black people (388 [15.5%] of 2497 white people vs 36 [62.1%] of 58 black people; adjusted OR 4.75, 95% CI 2.65-8.51). People living in urban areas versus rural areas (476 [26.2%] of 1816 in urban areas vs 111 [5.6%] of 1986 in rural areas; adjusted OR 4.59, 95% CI 3.57-5.90) and in more deprived areas (197 [29.5%] of 668 in most deprived vs 143 [7.7%] of 1855 in least deprived; adjusted OR 2.03, 95% CI 1.51-2.71) were more likely to test positive. People with chronic kidney disease were more likely to test positive in the adjusted analysis (68 [32.9%] of 207 with chronic kidney disease vs 519 [14.4%] of 3595 without; adjusted OR 1.91, 95% CI 1.31-2.78), but there was no significant association with other chronic conditions in that analysis. We found increased odds of a positive test among people who are obese (142 [20.9%] of 680 people with obesity vs 171 [13.2%] of 1296 normal-weight people; adjusted OR 1.41, 95% CI 1.04-1.91). Notably, active smoking was linked with decreased odds of a positive test result (47 [11.4%] of 413 active smokers vs 201 [17.9%] of 1125 non-smokers; adjusted OR 0.49, 95% CI 0.34-0.71). INTERPRETATION: A positive SARS-CoV-2 test result in this primary care cohort was associated with similar risk factors as observed for severe outcomes of COVID-19 in hospital settings, except for smoking. We provide evidence of potential sociodemographic factors associated with a positive test, including deprivation, population density, ethnicity, and chronic kidney disease. FUNDING: Wellcome Trust.
  • |*Betacoronavirus/genetics/isolation & purification[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Black People[MESH]
  • |COVID-19[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Coronavirus Infections/complications/*epidemiology/ethnology/etiology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |England/epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Infant[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Multivariate Analysis[MESH]
  • |Obesity/complications[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/complications/*epidemiology/ethnology/etiology[MESH]
  • |Poverty Areas[MESH]
  • |Real-Time Polymerase Chain Reaction[MESH]
  • |Renal Insufficiency, Chronic/complications[MESH]
  • |Risk Factors[MESH]
  • |Rural Population[MESH]
  • |SARS-CoV-2[MESH]
  • |Sex Factors[MESH]
  • |Smoking[MESH]
  • |Urban Population[MESH]


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