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10.3389/fmed.2021.682843 http://scihub22266oqcxt.onion/10.3389/fmed.2021.682843 34336889!8322583!34336889     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Med+(Lausanne) 2021 ; 8 (ä): 682843 Nephropedia Template TP {{tp|p=34336889|t=2021. Routine Hematological Parameters May Be Predictors of COVID-19 Severity |pdf=|usr=}}{{34336889}} gab.com Text Routine Hematological Parameters May Be Predictors of COVID-19 Severity JO: Front Med (Lausanne) http://www.kidney.de/pget.php?&tw=1&pmid=34336889 #FOAvip To date, coronavirus disease 2019 (COVID-19) has affected over 100 million people globally. COVID-19 can present with a variety of different symptoms leading to manifestation of disease ranging from mild cases to a life-threatening condition requiring critical care-level support. At present, a rapid prediction of disease severity and critical care requirement in COVID-19 patients, in early stages of disease, remains an unmet challenge. Therefore, we assessed whether parameters from a routine clinical hematology workup, at the time of hospital admission, can be valuable predictors of COVID-19 severity and the requirement for critical care. Hematological data from the day of hospital admission (day of positive COVID-19 test) for patients with severe COVID-19 disease (requiring critical care during illness) and patients with non-severe disease (not requiring critical care) were acquired. The data were amalgamated and cleaned and modeling was performed. Using a decision tree model, we demonstrated that routine clinical hematology parameters are important predictors of COVID-19 severity. This proof-of-concept study shows that a combination of activated partial thromboplastin time, white cell count-to-neutrophil ratio, and platelet count can predict subsequent severity of COVID-19 with high sensitivity and specificity (area under ROC 0.9956) at the time of the patient's hospital admission. These data, pending further validation, indicate that a decision tree model with hematological parameters could potentially form the basis for a rapid risk stratification tool that predicts COVID-19 severity in hospitalized patients. Twit Text FOAVip Routine Hematological Parameters May Be Predictors of COVID-19 Severity ????Front Med (Lausanne) http://www.kidney.de/pget.php?&tw=1&pmid=34336889 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34336889 #FOAvip English Wikipedia <ref>{{Cite pmid|34336889}}</ref> Routine Hematological Parameters May Be Predictors of COVID-19 Severity #MMPMID34336889 Szklanna PB; Altaie H; Comer SP; Cullivan S; Kelliher S; Weiss L; Curran J; Dowling E; O'Reilly KMA; Cotter AG; Marsh B; Gaine S; Power N; Lennon A; McCullagh B; Ni Ainle F; Kevane B; Maguire PB Front Med (Lausanne) 2021[]; 8 (ä): 682843 PMID34336889show ga To date, coronavirus disease 2019 (COVID-19) has affected over 100 million people globally. COVID-19 can present with a variety of different symptoms leading to manifestation of disease ranging from mild cases to a life-threatening condition requiring critical care-level support. At present, a rapid prediction of disease severity and critical care requirement in COVID-19 patients, in early stages of disease, remains an unmet challenge. Therefore, we assessed whether parameters from a routine clinical hematology workup, at the time of hospital admission, can be valuable predictors of COVID-19 severity and the requirement for critical care. Hematological data from the day of hospital admission (day of positive COVID-19 test) for patients with severe COVID-19 disease (requiring critical care during illness) and patients with non-severe disease (not requiring critical care) were acquired. The data were amalgamated and cleaned and modeling was performed. Using a decision tree model, we demonstrated that routine clinical hematology parameters are important predictors of COVID-19 severity. This proof-of-concept study shows that a combination of activated partial thromboplastin time, white cell count-to-neutrophil ratio, and platelet count can predict subsequent severity of COVID-19 with high sensitivity and specificity (area under ROC 0.9956) at the time of the patient's hospital admission. These data, pending further validation, indicate that a decision tree model with hematological parameters could potentially form the basis for a rapid risk stratification tool that predicts COVID-19 severity in hospitalized patients. äRoutine Hematological Parameters May Be Predictors of COVID-19 Severit(epmc).pdf DeepDyve Pubget Overpricing