Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1093/gerona/glaa183 http://scihub22266oqcxt.onion/10.1093/gerona/glaa183 32687551!7454409!32687551     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Gerontol+A+Biol+Sci+Med+Sci 2020 ; 75 (11): 2224-2230 Nephropedia Template TP {{tp|p=32687551|t=2020. Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort |pdf=|usr=}}{{32687551}} gab.com Text Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort JO: J Gerontol A Biol Sci Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=32687551 #FOAvip BACKGROUND: Hospitalized COVID-19 patients tend to be older and frequently have hypertension, diabetes, or coronary heart disease, but whether these comorbidities are true risk factors (ie, more common than in the general older population) is unclear. We estimated associations between preexisting diagnoses and hospitalized COVID-19 alone or with mortality, in a large community cohort. METHODS: UK Biobank (England) participants with baseline assessment 2006-2010, followed in hospital discharge records to 2017 and death records to 2020. Demographic and preexisting common diagnoses association tested with hospitalized laboratory-confirmed COVID-19 (March 16 to April 26, 2020), alone or with mortality, in logistic models. RESULTS: Of 269 070 participants aged older than 65, 507 (0.2%) became COVID-19 hospital inpatients, of which 141 (27.8%) died. Common comorbidities in hospitalized inpatients were hypertension (59.6%), history of fall or fragility fractures (29.4%), coronary heart disease (21.5%), type 2 diabetes (type 2, 19. 9%), and asthma (17.6%). However, in models adjusted for comorbidities, age group, sex, ethnicity, and education, preexisting diagnoses of dementia, type 2 diabetes, chronic obstructive pulmonary disease, pneumonia, depression, atrial fibrillation, and hypertension emerged as independent risk factors for COVID-19 hospitalization, the first 5 remaining statistically significant for related mortality. Chronic kidney disease and asthma were risk factors for COVID-19 hospitalization in women but not men. CONCLUSIONS: There are specific high-risk preexisting comorbidities for COVID-19 hospitalization and related deaths in community-based older men and women. These results do not support simple age-based targeting of the older population to prevent severe COVID-19 infections. Twit Text FOAVip Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort ????J Gerontol A Biol Sci Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=32687551 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32687551 #FOAvip English Wikipedia <ref>{{Cite pmid|32687551}}</ref> Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort #MMPMID32687551 Atkins JL; Masoli JAH; Delgado J; Pilling LC; Kuo CL; Kuchel GA; Melzer D J Gerontol A Biol Sci Med Sci 2020[Oct]; 75 (11): 2224-2230 PMID32687551show ga BACKGROUND: Hospitalized COVID-19 patients tend to be older and frequently have hypertension, diabetes, or coronary heart disease, but whether these comorbidities are true risk factors (ie, more common than in the general older population) is unclear. We estimated associations between preexisting diagnoses and hospitalized COVID-19 alone or with mortality, in a large community cohort. METHODS: UK Biobank (England) participants with baseline assessment 2006-2010, followed in hospital discharge records to 2017 and death records to 2020. Demographic and preexisting common diagnoses association tested with hospitalized laboratory-confirmed COVID-19 (March 16 to April 26, 2020), alone or with mortality, in logistic models. RESULTS: Of 269 070 participants aged older than 65, 507 (0.2%) became COVID-19 hospital inpatients, of which 141 (27.8%) died. Common comorbidities in hospitalized inpatients were hypertension (59.6%), history of fall or fragility fractures (29.4%), coronary heart disease (21.5%), type 2 diabetes (type 2, 19. 9%), and asthma (17.6%). However, in models adjusted for comorbidities, age group, sex, ethnicity, and education, preexisting diagnoses of dementia, type 2 diabetes, chronic obstructive pulmonary disease, pneumonia, depression, atrial fibrillation, and hypertension emerged as independent risk factors for COVID-19 hospitalization, the first 5 remaining statistically significant for related mortality. Chronic kidney disease and asthma were risk factors for COVID-19 hospitalization in women but not men. CONCLUSIONS: There are specific high-risk preexisting comorbidities for COVID-19 hospitalization and related deaths in community-based older men and women. These results do not support simple age-based targeting of the older population to prevent severe COVID-19 infections. |*Coronavirus Infections/diagnosis/epidemiology/mortality/therapy[MESH] |*Mortality[MESH] |*Pandemics[MESH] |*Pneumonia, Viral/epidemiology/mortality/therapy[MESH] |Age Factors[MESH] |Aged[MESH] |Betacoronavirus/isolation & purification[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Chronic Disease/*epidemiology[MESH] |Clinical Laboratory Techniques/methods[MESH] |Cohort Studies[MESH] |Comorbidity[MESH] |Female[MESH] |Hospitalization/*statistics & numerical data[MESH] |Humans[MESH] |Male[MESH] |Noncommunicable Diseases/*epidemiology[MESH] |Preexisting Condition Coverage/statistics & numerical data[MESH] |Risk Assessment/methods/statistics & numerical data[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH] |Sex Factors[MESH]Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK (epmc).pdf DeepDyve Pubget Overpricing