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Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study
BACKGROUND: Few reports have addressed the clinical and laboratory features of patients with coronavirus disease-2019 (COVID-19) in mountainous areas, especially in Iran. OBJECTIVES: To report the clinical and laboratory data and manifestations predicting mortality of patients with COVID-19 in the w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sciendo
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321164/ https://www.ncbi.nlm.nih.gov/pubmed/37551398 http://dx.doi.org/10.2478/abm-2022-0005 |
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author | Beni, Zahra Naderi Beni, Afsaneh Naderi Samani, Fereidoun Rahmani Dayani, Mohammad Ali Beni, Fariba Naderi Radmehr, Hamed Noorshargh, Pegah |
author_facet | Beni, Zahra Naderi Beni, Afsaneh Naderi Samani, Fereidoun Rahmani Dayani, Mohammad Ali Beni, Fariba Naderi Radmehr, Hamed Noorshargh, Pegah |
author_sort | Beni, Zahra Naderi |
collection | PubMed |
description | BACKGROUND: Few reports have addressed the clinical and laboratory features of patients with coronavirus disease-2019 (COVID-19) in mountainous areas, especially in Iran. OBJECTIVES: To report the clinical and laboratory data and manifestations predicting mortality of patients with COVID-19 in the west of Iran. METHODS: We conducted a retrospective cohort study of 286 patients hospitalized with COVID-19 between 25 February 2020 and 12 May 2020 to describe their clinical symptoms and laboratory test findings when they were admitted at the Hajar Hospital affiliated with the Shahrekord University of Medical Sciences, and a multivariable analysis of factors that predict their disease severity and mortality. RESULTS: After hospital admission, 18 patients died and 268 were discharged. Older age [odds ratio (OR) = 1.02, 95% confidence interval (CI) = 1.01–1.04, P = 0.001], presence of underlying diseases (OR = 1.86, 95% CI = 1.01–3.45, P = 0.04), elevated hematocrit (OR = 1.08, 95% CI = 1.03–1.13, P = 0.002), and increase in red blood cell distribution width (RDW) coefficient of variation (OR = 1.18, 95% CI = 1.02–1.36, P = 0.02) were significantly associated with disease severity. Older age (OR = 1.00, 95% CI = 1.00–1.07, P = 0.03), hypocalcemia (OR = 0.20, 95% CI = 0.09–0.58, P = 0.002), hypophosphatemia (OR = 0.50, 95% CI = 0.26–1.02, P = 0.04), and increase in platelet-larger cell ratio (P-LCR; OR = 1.10, 95% CI = 1.00–1.15, P = 0.04) were significantly associated with mortality. The areas under the receiver operating characteristic curves were as follows: calcium 0.759; lactate dehydrogenase (LDH) 0.731; phosphorus 0.725; bilirubin 0.689; C-reactive protein 0.679; and RDW – standard deviation (RDW-SD) 0.624. CONCLUSIONS: Those who did not survive tended to be elderly and had a greater incidence of comorbidities. Elevated LDH, decreased levels of calcium and phosphorus, and anemia at diagnosis were associated with greater risk of death for these Iranian patients hospitalized with COVID-19. Regular assessment of these markers would help to manage patients with COVID-19. |
format | Online Article Text |
id | pubmed-10321164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Sciendo |
record_format | MEDLINE/PubMed |
spelling | pubmed-103211642023-08-07 Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study Beni, Zahra Naderi Beni, Afsaneh Naderi Samani, Fereidoun Rahmani Dayani, Mohammad Ali Beni, Fariba Naderi Radmehr, Hamed Noorshargh, Pegah Asian Biomed (Res Rev News) Original Article BACKGROUND: Few reports have addressed the clinical and laboratory features of patients with coronavirus disease-2019 (COVID-19) in mountainous areas, especially in Iran. OBJECTIVES: To report the clinical and laboratory data and manifestations predicting mortality of patients with COVID-19 in the west of Iran. METHODS: We conducted a retrospective cohort study of 286 patients hospitalized with COVID-19 between 25 February 2020 and 12 May 2020 to describe their clinical symptoms and laboratory test findings when they were admitted at the Hajar Hospital affiliated with the Shahrekord University of Medical Sciences, and a multivariable analysis of factors that predict their disease severity and mortality. RESULTS: After hospital admission, 18 patients died and 268 were discharged. Older age [odds ratio (OR) = 1.02, 95% confidence interval (CI) = 1.01–1.04, P = 0.001], presence of underlying diseases (OR = 1.86, 95% CI = 1.01–3.45, P = 0.04), elevated hematocrit (OR = 1.08, 95% CI = 1.03–1.13, P = 0.002), and increase in red blood cell distribution width (RDW) coefficient of variation (OR = 1.18, 95% CI = 1.02–1.36, P = 0.02) were significantly associated with disease severity. Older age (OR = 1.00, 95% CI = 1.00–1.07, P = 0.03), hypocalcemia (OR = 0.20, 95% CI = 0.09–0.58, P = 0.002), hypophosphatemia (OR = 0.50, 95% CI = 0.26–1.02, P = 0.04), and increase in platelet-larger cell ratio (P-LCR; OR = 1.10, 95% CI = 1.00–1.15, P = 0.04) were significantly associated with mortality. The areas under the receiver operating characteristic curves were as follows: calcium 0.759; lactate dehydrogenase (LDH) 0.731; phosphorus 0.725; bilirubin 0.689; C-reactive protein 0.679; and RDW – standard deviation (RDW-SD) 0.624. CONCLUSIONS: Those who did not survive tended to be elderly and had a greater incidence of comorbidities. Elevated LDH, decreased levels of calcium and phosphorus, and anemia at diagnosis were associated with greater risk of death for these Iranian patients hospitalized with COVID-19. Regular assessment of these markers would help to manage patients with COVID-19. Sciendo 2022-02-28 /pmc/articles/PMC10321164/ /pubmed/37551398 http://dx.doi.org/10.2478/abm-2022-0005 Text en © 2022 Zahra Naderi Beni et al., published by Sciendo https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Original Article Beni, Zahra Naderi Beni, Afsaneh Naderi Samani, Fereidoun Rahmani Dayani, Mohammad Ali Beni, Fariba Naderi Radmehr, Hamed Noorshargh, Pegah Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study |
title | Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study |
title_full | Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study |
title_fullStr | Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study |
title_full_unstemmed | Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study |
title_short | Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study |
title_sort | multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with coronavirus disease 2019 in the mountainous west of iran: a retrospective single-center study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321164/ https://www.ncbi.nlm.nih.gov/pubmed/37551398 http://dx.doi.org/10.2478/abm-2022-0005 |
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