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10.1371/journal.pone.0247676 http://scihub22266oqcxt.onion/10.1371/journal.pone.0247676 33661939!7932507!33661939     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (3): e0247676 Nephropedia Template TP {{tp|p=33661939|t=2021. Development and validation of a predictive model of in-hospital mortality in COVID-19 patients |pdf=|usr=}}{{33661939}} gab.com Text Development and validation of a predictive model of in-hospital mortality in COVID-19 patients JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33661939 #FOAvip We retrospectively evaluated 2879 hospitalized COVID-19 patients from four hospitals to evaluate the ability of demographic data, medical history, and on-admission laboratory parameters to predict in-hospital mortality. Association of previously published risk factors (age, gender, arterial hypertension, diabetes mellitus, smoking habit, obesity, renal failure, cardiovascular/ pulmonary diseases, serum ferritin, lymphocyte count, APTT, PT, fibrinogen, D-dimer, and platelet count) with death was tested by a multivariate logistic regression, and a predictive model was created, with further validation in an independent sample. A total of 2070 hospitalized COVID-19 patients were finally included in the multivariable analysis. Age 61-70 years (p<0.001; OR: 7.69; 95%CI: 2.93 to 20.14), age 71-80 years (p<0.001; OR: 14.99; 95%CI: 5.88 to 38.22), age >80 years (p<0.001; OR: 36.78; 95%CI: 14.42 to 93.85), male gender (p<0.001; OR: 1.84; 95%CI: 1.31 to 2.58), D-dimer levels >2 ULN (p = 0.003; OR: 1.79; 95%CI: 1.22 to 2.62), and prolonged PT (p<0.001; OR: 2.18; 95%CI: 1.49 to 3.18) were independently associated with increased in-hospital mortality. A predictive model performed with these parameters showed an AUC of 0.81 in the development cohort (n = 1270) [sensitivity of 95.83%, specificity of 41.46%, negative predictive value of 98.01%, and positive predictive value of 24.85%]. These results were then validated in an independent data sample (n = 800). Our predictive model of in-hospital mortality of COVID-19 patients has been developed, calibrated and validated. The model (MRS-COVID) included age, male gender, and on-admission coagulopathy markers as positively correlated factors with fatal outcome. Twit Text FOAVip Development and validation of a predictive model of in-hospital mortality in COVID-19 patients ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33661939 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33661939 #FOAvip English Wikipedia <ref>{{Cite pmid|33661939}}</ref> Development and validation of a predictive model of in-hospital mortality in COVID-19 patients #MMPMID33661939 Velasco-Rodriguez D; Alonso-Dominguez JM; Vidal Laso R; Lainez-Gonzalez D; Garcia-Raso A; Martin-Herrero S; Herrero A; Martinez Alfonzo I; Serrano-Lopez J; Jimenez-Barral E; Nistal S; Perez Marquez M; Askari E; Castillo Alvarez J; Nunez A; Jimenez Rodriguez A; Heili-Frades S; Perez-Calvo C; Gorgolas M; Barba R; Llamas-Sillero P PLoS One 2021[]; 16 (3): e0247676 PMID33661939show ga We retrospectively evaluated 2879 hospitalized COVID-19 patients from four hospitals to evaluate the ability of demographic data, medical history, and on-admission laboratory parameters to predict in-hospital mortality. Association of previously published risk factors (age, gender, arterial hypertension, diabetes mellitus, smoking habit, obesity, renal failure, cardiovascular/ pulmonary diseases, serum ferritin, lymphocyte count, APTT, PT, fibrinogen, D-dimer, and platelet count) with death was tested by a multivariate logistic regression, and a predictive model was created, with further validation in an independent sample. A total of 2070 hospitalized COVID-19 patients were finally included in the multivariable analysis. Age 61-70 years (p<0.001; OR: 7.69; 95%CI: 2.93 to 20.14), age 71-80 years (p<0.001; OR: 14.99; 95%CI: 5.88 to 38.22), age >80 years (p<0.001; OR: 36.78; 95%CI: 14.42 to 93.85), male gender (p<0.001; OR: 1.84; 95%CI: 1.31 to 2.58), D-dimer levels >2 ULN (p = 0.003; OR: 1.79; 95%CI: 1.22 to 2.62), and prolonged PT (p<0.001; OR: 2.18; 95%CI: 1.49 to 3.18) were independently associated with increased in-hospital mortality. A predictive model performed with these parameters showed an AUC of 0.81 in the development cohort (n = 1270) [sensitivity of 95.83%, specificity of 41.46%, negative predictive value of 98.01%, and positive predictive value of 24.85%]. These results were then validated in an independent data sample (n = 800). Our predictive model of in-hospital mortality of COVID-19 patients has been developed, calibrated and validated. The model (MRS-COVID) included age, male gender, and on-admission coagulopathy markers as positively correlated factors with fatal outcome. |Aged[MESH] |Aged, 80 and over[MESH] |Blood Coagulation[MESH] |COVID-19/blood/diagnosis/*mortality[MESH] |Female[MESH] |Fibrin Fibrinogen Degradation Products/analysis[MESH] |Hospital Mortality[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Multivariate Analysis[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]Development and validation of a predictive model of in-hospital mortal(epmc).pdf DeepDyve Pubget Overpricing