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Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19

We aimed to evaluate the predictive ability of hematological and inflammatory parameters for mortality in COVID-19 patients. This was a retrospective study of hospitalized COVID-19 patients over 18 years old between March 2020 and May 2020. Patients were diagnosed to have COVID-19 based either on ch...

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Autor principal: Keski, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910775/
https://www.ncbi.nlm.nih.gov/pubmed/33679013
http://dx.doi.org/10.1007/s12288-021-01407-y
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author Keski, Hakan
author_facet Keski, Hakan
author_sort Keski, Hakan
collection PubMed
description We aimed to evaluate the predictive ability of hematological and inflammatory parameters for mortality in COVID-19 patients. This was a retrospective study of hospitalized COVID-19 patients over 18 years old between March 2020 and May 2020. Patients were diagnosed to have COVID-19 based either on chest computed tomography findings or reverse transcriptase-polymerase chain reaction test. Age, gender, chronic medical conditions, and laboratory values including hemogram parameters (white blood cell, neutrophil, lymphocyte, and platelet counts), neutrophil to lymphocyte ratio, D-dimer, ferritin, fibrinogen, C-reactive protein, procalcitonin, prothrombin time, activated partial thromboplastin time and the international normalized ratio were recorded. Overall, we included 302 patients. Of these, 148 patients were male; the male to female ratio was 0.961. The mean age of the entire study cohort was 57.1 ± 17.6 years. The most common chronic medical condition was hypertension (38.1%). Half of the patients received low molecular weight heparin. During the study period, 25 patients (8.2%) died. White blood cell count and neutrophil count were significantly higher, whereas lymphocyte count was significantly lower in the deceased patients. The median neutrophil to lymphocyte ratio was 11.6 in the deceased patients, it was significantly higher than the surviving patients (p < 0.001). The values of C-reactive protein, procalcitonin, D-dimer, and ferritin were significantly higher among the deceased patients. Prothrombin time, activated partial thromboplastin time and the international normalized ratio were significantly longer in the deceased group compared with the surviving group. Logistic regression analysis showed age > 65 years, neutrophil to lymphocyte ratio, activated partial thromboplastin time, and hypertension as the independent predictors of mortality. The rate of abnormal inflammatory and hematologic-coagulation parameters increased with the COVID-19 severity. Age > 65 years, hypertension, activated partial thromboplastin time and neutrophil to lymphocyte ratio were the independent predictors of mortality.
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spelling pubmed-79107752021-03-01 Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19 Keski, Hakan Indian J Hematol Blood Transfus Original Article We aimed to evaluate the predictive ability of hematological and inflammatory parameters for mortality in COVID-19 patients. This was a retrospective study of hospitalized COVID-19 patients over 18 years old between March 2020 and May 2020. Patients were diagnosed to have COVID-19 based either on chest computed tomography findings or reverse transcriptase-polymerase chain reaction test. Age, gender, chronic medical conditions, and laboratory values including hemogram parameters (white blood cell, neutrophil, lymphocyte, and platelet counts), neutrophil to lymphocyte ratio, D-dimer, ferritin, fibrinogen, C-reactive protein, procalcitonin, prothrombin time, activated partial thromboplastin time and the international normalized ratio were recorded. Overall, we included 302 patients. Of these, 148 patients were male; the male to female ratio was 0.961. The mean age of the entire study cohort was 57.1 ± 17.6 years. The most common chronic medical condition was hypertension (38.1%). Half of the patients received low molecular weight heparin. During the study period, 25 patients (8.2%) died. White blood cell count and neutrophil count were significantly higher, whereas lymphocyte count was significantly lower in the deceased patients. The median neutrophil to lymphocyte ratio was 11.6 in the deceased patients, it was significantly higher than the surviving patients (p < 0.001). The values of C-reactive protein, procalcitonin, D-dimer, and ferritin were significantly higher among the deceased patients. Prothrombin time, activated partial thromboplastin time and the international normalized ratio were significantly longer in the deceased group compared with the surviving group. Logistic regression analysis showed age > 65 years, neutrophil to lymphocyte ratio, activated partial thromboplastin time, and hypertension as the independent predictors of mortality. The rate of abnormal inflammatory and hematologic-coagulation parameters increased with the COVID-19 severity. Age > 65 years, hypertension, activated partial thromboplastin time and neutrophil to lymphocyte ratio were the independent predictors of mortality. Springer India 2021-02-27 2021-10 /pmc/articles/PMC7910775/ /pubmed/33679013 http://dx.doi.org/10.1007/s12288-021-01407-y Text en © Indian Society of Hematology and Blood Transfusion 2021
spellingShingle Original Article
Keski, Hakan
Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19
title Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19
title_full Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19
title_fullStr Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19
title_full_unstemmed Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19
title_short Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19
title_sort hematological and inflammatory parameters to predict the prognosis in covid-19
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910775/
https://www.ncbi.nlm.nih.gov/pubmed/33679013
http://dx.doi.org/10.1007/s12288-021-01407-y
work_keys_str_mv AT keskihakan hematologicalandinflammatoryparameterstopredicttheprognosisincovid19