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10.1371/journal.pone.0240960 http://scihub22266oqcxt.onion/10.1371/journal.pone.0240960 33112892!7592846!33112892     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33112892&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2020 ; 15 (10): e0240960 Nephropedia Template TP {{tp|p=33112892|t=2020. Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population |pdf=|usr=}}{{33112892}} gab.com Text Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33112892 #FOAvip BACKGROUND: Black, Asian and minority ethnic (BAME) populations are emerging as a vulnerable group in the severe acute respiratory syndrome coronavirus disease (SARS-CoV-2) pandemic. We investigated the relationship between ethnicity and health outcomes in SARS-CoV-2. METHODS AND FINDINGS: We conducted a retrospective, observational analysis of SARS-CoV-2 patients across two London teaching hospitals during March 1 -April 30, 2020. Routinely collected clinical data were extracted and analysed for 645 patients who met the study inclusion criteria. Within this hospitalised cohort, the BAME population were younger relative to the white population (61.70 years, 95% CI 59.70-63.73 versus 69.3 years, 95% CI 67.17-71.43, p<0.001). When adjusted for age, sex and comorbidity, ethnicity was not a predictor for ICU admission. The mean age at death was lower in the BAME population compared to the white population (71.44 years, 95% CI 69.90-72.90 versus, 77.40 years, 95% CI 76.1-78.70 respectively, p<0.001). When adjusted for age, sex and comorbidities, Asian patients had higher odds of death (OR 1.99: 95% CI 1.22-3.25, p<0.006). CONCLUSIONS: BAME patients were more likely to be admitted younger, and to die at a younger age with SARS-CoV-2. Within the BAME cohort, Asian patients were more likely to die but despite this, there was no difference in rates of admission to ICU. The reasons for these disparities are not fully understood and need to be addressed. Investigating ethnicity as a clinical risk factor remains a high public health priority. Studies that consider ethnicity as part of the wider socio-cultural determinant of health are urgently needed. Twit Text FOAVip Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33112892 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33112892 #FOAvip English Wikipedia <ref>{{Cite pmid|33112892}}</ref> Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population #MMPMID33112892 Patel A; Abdulaal A; Ariyanayagam D; Killington K; Denny SJ; Mughal N; Hughes S; Goel N; Davies GW; Moore LSP; Charani E PLoS One 2020[]; 15 (10): e0240960 PMID33112892show ga BACKGROUND: Black, Asian and minority ethnic (BAME) populations are emerging as a vulnerable group in the severe acute respiratory syndrome coronavirus disease (SARS-CoV-2) pandemic. We investigated the relationship between ethnicity and health outcomes in SARS-CoV-2. METHODS AND FINDINGS: We conducted a retrospective, observational analysis of SARS-CoV-2 patients across two London teaching hospitals during March 1 -April 30, 2020. Routinely collected clinical data were extracted and analysed for 645 patients who met the study inclusion criteria. Within this hospitalised cohort, the BAME population were younger relative to the white population (61.70 years, 95% CI 59.70-63.73 versus 69.3 years, 95% CI 67.17-71.43, p<0.001). When adjusted for age, sex and comorbidity, ethnicity was not a predictor for ICU admission. The mean age at death was lower in the BAME population compared to the white population (71.44 years, 95% CI 69.90-72.90 versus, 77.40 years, 95% CI 76.1-78.70 respectively, p<0.001). When adjusted for age, sex and comorbidities, Asian patients had higher odds of death (OR 1.99: 95% CI 1.22-3.25, p<0.006). CONCLUSIONS: BAME patients were more likely to be admitted younger, and to die at a younger age with SARS-CoV-2. Within the BAME cohort, Asian patients were more likely to die but despite this, there was no difference in rates of admission to ICU. The reasons for these disparities are not fully understood and need to be addressed. Investigating ethnicity as a clinical risk factor remains a high public health priority. Studies that consider ethnicity as part of the wider socio-cultural determinant of health are urgently needed. |*Betacoronavirus[MESH] |*Pandemics[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Asian People/statistics & numerical data[MESH] |Black People/statistics & numerical data[MESH] |COVID-19[MESH] |Child[MESH] |Child, Preschool[MESH] |Coronavirus Infections/epidemiology/*ethnology/therapy[MESH] |Ethnicity/*statistics & numerical data[MESH] |Female[MESH] |Hospital Mortality[MESH] |Hospitals, Teaching/statistics & numerical data[MESH] |Humans[MESH] |Infant[MESH] |Infant, Newborn[MESH] |Length of Stay/statistics & numerical data[MESH] |London/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Minority Groups/statistics & numerical data[MESH] |Pneumonia, Viral/epidemiology/*ethnology/therapy[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH] |Secondary Care/ethnology/statistics & numerical data[MESH] |Socioeconomic Factors[MESH] |Survival Analysis[MESH] |Treatment Outcome[MESH]Investigating the association between ethnicity and health outcomes in(epmc).pdf DeepDyve Pubget Overpricing