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10.1001/jamanetworkopen.2020.23934 http://scihub22266oqcxt.onion/10.1001/jamanetworkopen.2020.23934 33125498!7599467!33125498     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       JAMA+Netw+Open 2020 ; 3 (10): e2023934 Nephropedia Template TP {{tp|p=33125498|t=2020. Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts |pdf=|usr=}}{{33125498}} gab.com Text Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts JO: JAMA Netw Open http://www.kidney.de/pget.php?&tw=1&pmid=33125498 #FOAvip IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has placed unprecedented stress on health systems across the world, and reliable estimates of risk for adverse hospital outcomes are needed. OBJECTIVE: To quantify admission laboratory and comorbidity features associated with critical illness and mortality risk across 6 Eastern Massachusetts hospitals. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of all individuals admitted to the hospital who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by polymerase chain reaction across these 6 hospitals through June 5, 2020, using hospital course, prior diagnoses, and laboratory values in emergency department and inpatient settings from 2 academic medical centers and 4 community hospitals. The data were extracted on June 11, 2020, and the analysis was conducted from June to July 2020. EXPOSURES: SARS-CoV-2. MAIN OUTCOMES AND MEASURES: Severe illness defined by admission to intensive care unit, mechanical ventilation, or death. RESULTS: Of 2511 hospitalized individuals who tested positive for SARS-CoV-2 (of whom 50.9% were male, 53.9% White, and 27.0% Hispanic, with a mean [SD ]age of 62.6 [19.0] years), 215 (8.6%) were admitted to the intensive care unit, 164 (6.5%) required mechanical ventilation, and 292 (11.6%) died. L1-regression models developed in 3 of these hospitals yielded an area under the receiver operating characteristic curve of 0.807 for severe illness and 0.847 for mortality in the 3 held-out hospitals. In total, 212 of 292 deaths (72.6%) occurred in the highest-risk mortality quintile. CONCLUSIONS AND RELEVANCE: In this cohort, specific admission laboratory studies in concert with sociodemographic features and prior diagnosis facilitated risk stratification among individuals hospitalized for COVID-19. Twit Text FOAVip Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts ????JAMA Netw Open http://www.kidney.de/pget.php?&tw=1&pmid=33125498 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33125498 #FOAvip English Wikipedia <ref>{{Cite pmid|33125498}}</ref> Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts #MMPMID33125498 Castro VM; McCoy TH; Perlis RH JAMA Netw Open 2020[Oct]; 3 (10): e2023934 PMID33125498show ga IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has placed unprecedented stress on health systems across the world, and reliable estimates of risk for adverse hospital outcomes are needed. OBJECTIVE: To quantify admission laboratory and comorbidity features associated with critical illness and mortality risk across 6 Eastern Massachusetts hospitals. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of all individuals admitted to the hospital who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by polymerase chain reaction across these 6 hospitals through June 5, 2020, using hospital course, prior diagnoses, and laboratory values in emergency department and inpatient settings from 2 academic medical centers and 4 community hospitals. The data were extracted on June 11, 2020, and the analysis was conducted from June to July 2020. EXPOSURES: SARS-CoV-2. MAIN OUTCOMES AND MEASURES: Severe illness defined by admission to intensive care unit, mechanical ventilation, or death. RESULTS: Of 2511 hospitalized individuals who tested positive for SARS-CoV-2 (of whom 50.9% were male, 53.9% White, and 27.0% Hispanic, with a mean [SD ]age of 62.6 [19.0] years), 215 (8.6%) were admitted to the intensive care unit, 164 (6.5%) required mechanical ventilation, and 292 (11.6%) died. L1-regression models developed in 3 of these hospitals yielded an area under the receiver operating characteristic curve of 0.807 for severe illness and 0.847 for mortality in the 3 held-out hospitals. In total, 212 of 292 deaths (72.6%) occurred in the highest-risk mortality quintile. CONCLUSIONS AND RELEVANCE: In this cohort, specific admission laboratory studies in concert with sociodemographic features and prior diagnosis facilitated risk stratification among individuals hospitalized for COVID-19. |*Critical Illness/epidemiology[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Area Under Curve[MESH] |Betacoronavirus/pathogenicity[MESH] |Blood Urea Nitrogen[MESH] |C-Reactive Protein/analysis[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques[MESH] |Cohort Studies[MESH] |Coronavirus Infections/blood/*complications/diagnosis/epidemiology/physiopathology/urine[MESH] |Creatinine/analysis/blood[MESH] |Eosinophils[MESH] |Erythrocyte Count/methods[MESH] |Female[MESH] |Glucose/analysis[MESH] |Hospital Mortality/*trends[MESH] |Hospitalization/statistics & numerical data[MESH] |Humans[MESH] |Hydro-Lyases/analysis/blood[MESH] |Lymphocyte Count/methods[MESH] |Male[MESH] |Massachusetts/epidemiology[MESH] |Middle Aged[MESH] |Monocytes[MESH] |Neutrophils[MESH] |Pandemics[MESH] |Platelet Count/methods[MESH] |Pneumonia, Viral/*complications/epidemiology/physiopathology[MESH] |Polymerase Chain Reaction/methods[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH]Laboratory Findings Associated With Severe Illness and Mortality Among(epmc).pdf DeepDyve Pubget Overpricing