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10.5858/arpa.2020-0389-SA http://scihub22266oqcxt.onion/10.5858/arpa.2020-0389-SA 32649222!ä!32649222 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Arch+Pathol+Lab+Med 2020 ; 144 (12): 1457-1464 Nephropedia Template TP {{tp|p=32649222|t=2020. A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Predictors of COVID-19 Severity |pdf=|usr=}}{{32649222}} gab.com Text A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Predictors of COVID-19 Severity JO: Arch Pathol Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=32649222 #FOAvip CONTEXT.-: A relevant portion of coronavirus disease 2019 (COVID-19) patients develop severe disease with negative outcomes. Several biomarkers have been proposed to predict COVID-19 severity, but no definite interpretative criteria have been established to date for stratifying risk. OBJECTIVE.-: To evaluate 6 serum biomarkers (C-reactive protein, lactate dehydrogenase, D-dimer, albumin, ferritin, and cardiac troponin T) for predicting COVID-19 severity and to define related cutoffs able to aid clinicians in risk stratification of hospitalized patients. DESIGN.-: A retrospective study of 427 COVID-19 patients was performed. Patients were divided into groups based on their clinical outcome: nonsurvivors versus survivors and patients admitted to an intensive care unit versus others. Receiver operating characteristic curves and likelihood ratios were employed to define predictive cutoffs for evaluated markers. RESULTS.-: Marker concentrations at peak were significantly different between groups for both selected outcomes. At univariate logistic regression analysis, all parameters were significantly associated with higher odds of death and intensive care. At the multivariate analysis, high concentrations of lactate dehydrogenase and low concentrations of albumin in serum remained significantly associated with higher odds of death, whereas only low lactate dehydrogenase activities remained associated with lower odds of intensive care admission. The best cutoffs for death prediction were greater than 731 U/L for lactate dehydrogenase and 18 g/L or lower for albumin, whereas a lactate dehydrogenase activity lower than 425 U/L was associated with a negative likelihood ratio of 0.10 for intensive treatment. CONCLUSIONS.-: Our study identifies which biochemistry tests represent major predictors of COVID-19 severity and defines the best cutoffs for their use. Twit Text FOAVip A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Predictors of COVID-19 Severity ????Arch Pathol Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=32649222 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32649222 #FOAvip English Wikipedia <ref>{{Cite pmid|32649222}}</ref> A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Predictors of COVID-19 Severity #MMPMID32649222 Aloisio E; Chibireva M; Serafini L; Pasqualetti S; Falvella FS; Dolci A; Panteghini M Arch Pathol Lab Med 2020[Dec]; 144 (12): 1457-1464 PMID32649222show ga CONTEXT.-: A relevant portion of coronavirus disease 2019 (COVID-19) patients develop severe disease with negative outcomes. Several biomarkers have been proposed to predict COVID-19 severity, but no definite interpretative criteria have been established to date for stratifying risk. OBJECTIVE.-: To evaluate 6 serum biomarkers (C-reactive protein, lactate dehydrogenase, D-dimer, albumin, ferritin, and cardiac troponin T) for predicting COVID-19 severity and to define related cutoffs able to aid clinicians in risk stratification of hospitalized patients. DESIGN.-: A retrospective study of 427 COVID-19 patients was performed. Patients were divided into groups based on their clinical outcome: nonsurvivors versus survivors and patients admitted to an intensive care unit versus others. Receiver operating characteristic curves and likelihood ratios were employed to define predictive cutoffs for evaluated markers. RESULTS.-: Marker concentrations at peak were significantly different between groups for both selected outcomes. At univariate logistic regression analysis, all parameters were significantly associated with higher odds of death and intensive care. At the multivariate analysis, high concentrations of lactate dehydrogenase and low concentrations of albumin in serum remained significantly associated with higher odds of death, whereas only low lactate dehydrogenase activities remained associated with lower odds of intensive care admission. The best cutoffs for death prediction were greater than 731 U/L for lactate dehydrogenase and 18 g/L or lower for albumin, whereas a lactate dehydrogenase activity lower than 425 U/L was associated with a negative likelihood ratio of 0.10 for intensive treatment. CONCLUSIONS.-: Our study identifies which biochemistry tests represent major predictors of COVID-19 severity and defines the best cutoffs for their use. |*Severity of Illness Index[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Biomarkers/*blood[MESH] |COVID-19 Testing/*methods[MESH] |COVID-19/blood/*diagnosis/mortality/therapy[MESH] |Critical Care[MESH] |Female[MESH] |Humans[MESH] |Italy/epidemiology[MESH] |Logistic Models[MESH] |Male[MESH] |Middle Aged[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Survival Analysis[MESH]A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Pr(epmc).pdf DeepDyve Pubget Overpricing