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Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study

BACKGROUND: To address the problem of resource limitation, biomarkers having a potential for mortality prediction are urgently required. This study was designed to evaluate whether hemogram‐derived ratios could predict in‐hospital deaths in COVID‐19 patients. MATERIALS AND METHODS: This multicenter...

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Autores principales: Asaduzzaman, MD, Romel Bhuia, Mohammad, Nazmul Alam, ZHM, Zabed Jillul Bari, Mohammad, Ferdousi, Tasnim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172589/
https://www.ncbi.nlm.nih.gov/pubmed/35686199
http://dx.doi.org/10.1002/hsr2.663
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author Asaduzzaman, MD
Romel Bhuia, Mohammad
Nazmul Alam, ZHM
Zabed Jillul Bari, Mohammad
Ferdousi, Tasnim
author_facet Asaduzzaman, MD
Romel Bhuia, Mohammad
Nazmul Alam, ZHM
Zabed Jillul Bari, Mohammad
Ferdousi, Tasnim
author_sort Asaduzzaman, MD
collection PubMed
description BACKGROUND: To address the problem of resource limitation, biomarkers having a potential for mortality prediction are urgently required. This study was designed to evaluate whether hemogram‐derived ratios could predict in‐hospital deaths in COVID‐19 patients. MATERIALS AND METHODS: This multicenter retrospective study included hospitalized COVID‐19 patients from four COVID‐19 dedicated hospitals in Sylhet, Bangladesh. Data on clinical characteristics, laboratory parameters, and survival outcomes were analyzed. Logistic regression models were fitted to identify the predictors of in‐hospital death. RESULTS: Out of 442 patients, 55 (12.44%) suffered in‐hospital death. The proportion of male was higher in nonsurvivor group (61.8%). The mean age was higher in nonsurvivors (69 ± 13 vs. 59 ± 14 years, p < 0.001). Compared to survivors, nonsurvivors exhibited higher frequency of comorbidities, such as chronic kidney disease (34.5% vs. 15.2%, p ≤ 0.001), chronic obstructive pulmonary disease (23.6% vs. 10.6%, p = 0.011), ischemic heart disease (41.8% vs. 19.4%, p < 0.001), and diabetes mellitus (76.4% vs. 61.8%, p = 0.05). Leukocytosis and lymphocytopenia were more prevalent in nonsurvivors (p < 0.05). Neutrophil‐to‐lymphocyte ratio (NLR), derived NLR (d‐NLR), and neutrophil‐to‐platelet ratio (NPR) were significantly higher in nonsurvivors (p < 0.05). After adjusting for potential covariates, NLR (odds ratio [OR] 1.05; 95% confidence interval [CI] 1.009‐1.08), d‐NLR (OR 1.08; 95% CI 1.006‐1.14), and NPR (OR 1.20; 95% CI 1.09‐1.32) have been found to be significant predictors of mortality in hospitalized COVID‐19 patients. The optimal cut‐off points for NLR, d‐NLR, and NPR for prediction of in‐hospital mortality for COVID‐19 patients were 7.57, 5.52 and 3.87, respectively. CONCLUSION: Initial assessment of NLR, d‐NLR, and NPR values at hospital admission is of good prognostic value for predicting mortality of patients with COVID‐19.
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spelling pubmed-91725892022-06-08 Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study Asaduzzaman, MD Romel Bhuia, Mohammad Nazmul Alam, ZHM Zabed Jillul Bari, Mohammad Ferdousi, Tasnim Health Sci Rep Original Research BACKGROUND: To address the problem of resource limitation, biomarkers having a potential for mortality prediction are urgently required. This study was designed to evaluate whether hemogram‐derived ratios could predict in‐hospital deaths in COVID‐19 patients. MATERIALS AND METHODS: This multicenter retrospective study included hospitalized COVID‐19 patients from four COVID‐19 dedicated hospitals in Sylhet, Bangladesh. Data on clinical characteristics, laboratory parameters, and survival outcomes were analyzed. Logistic regression models were fitted to identify the predictors of in‐hospital death. RESULTS: Out of 442 patients, 55 (12.44%) suffered in‐hospital death. The proportion of male was higher in nonsurvivor group (61.8%). The mean age was higher in nonsurvivors (69 ± 13 vs. 59 ± 14 years, p < 0.001). Compared to survivors, nonsurvivors exhibited higher frequency of comorbidities, such as chronic kidney disease (34.5% vs. 15.2%, p ≤ 0.001), chronic obstructive pulmonary disease (23.6% vs. 10.6%, p = 0.011), ischemic heart disease (41.8% vs. 19.4%, p < 0.001), and diabetes mellitus (76.4% vs. 61.8%, p = 0.05). Leukocytosis and lymphocytopenia were more prevalent in nonsurvivors (p < 0.05). Neutrophil‐to‐lymphocyte ratio (NLR), derived NLR (d‐NLR), and neutrophil‐to‐platelet ratio (NPR) were significantly higher in nonsurvivors (p < 0.05). After adjusting for potential covariates, NLR (odds ratio [OR] 1.05; 95% confidence interval [CI] 1.009‐1.08), d‐NLR (OR 1.08; 95% CI 1.006‐1.14), and NPR (OR 1.20; 95% CI 1.09‐1.32) have been found to be significant predictors of mortality in hospitalized COVID‐19 patients. The optimal cut‐off points for NLR, d‐NLR, and NPR for prediction of in‐hospital mortality for COVID‐19 patients were 7.57, 5.52 and 3.87, respectively. CONCLUSION: Initial assessment of NLR, d‐NLR, and NPR values at hospital admission is of good prognostic value for predicting mortality of patients with COVID‐19. John Wiley and Sons Inc. 2022-06-07 /pmc/articles/PMC9172589/ /pubmed/35686199 http://dx.doi.org/10.1002/hsr2.663 Text en © 2022 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Asaduzzaman, MD
Romel Bhuia, Mohammad
Nazmul Alam, ZHM
Zabed Jillul Bari, Mohammad
Ferdousi, Tasnim
Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study
title Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study
title_full Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study
title_fullStr Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study
title_full_unstemmed Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study
title_short Significance of hemogram‐derived ratios for predicting in‐hospital mortality in COVID‐19: A multicenter study
title_sort significance of hemogram‐derived ratios for predicting in‐hospital mortality in covid‐19: a multicenter study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172589/
https://www.ncbi.nlm.nih.gov/pubmed/35686199
http://dx.doi.org/10.1002/hsr2.663
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