Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran

Background: The coronavirus disease 2019 (COVID-19) pandemic as an emergency public health concern has caused hundreds of thousands of deaths in the world. Identifying predictors of death in COVID-19 patients are a key to improve survival and help patients triage, better management, and assist physi...

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Autor principal:	Ali Reza Soltanian
Formato:	article
Lenguaje:	EN
Publicado:	Tehran University of Medical Sciences 2021
Materias:	sars-cov-2 infectious disease coronavirus death epidemiology Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/ecf57caba7bc47dda7887d1ee2a59aea
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spelling	oai:doaj.org-article:ecf57caba7bc47dda7887d1ee2a59aea2021-11-29T06:16:08ZDemographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran0044-60251735-969410.18502/acta.v59i10.7763https://doaj.org/article/ecf57caba7bc47dda7887d1ee2a59aea2021-11-01T00:00:00Zhttps://acta.tums.ac.ir/index.php/acta/article/view/9105https://doaj.org/toc/0044-6025https://doaj.org/toc/1735-9694Background: The coronavirus disease 2019 (COVID-19) pandemic as an emergency public health concern has caused hundreds of thousands of deaths in the world. Identifying predictors of death in COVID-19 patients are a key to improve survival and help patients triage, better management, and assist physicians and health care. Study design: Retrospective observational study Methods: The present study conducted on 512 positive COVID-19 patients confirmed by real-time PCR hospitalized in Sina Hospital, Hamadan in 2020. The data of demographic characteristics, clinical manifestations, laboratory findings, chest examination and disease outcome were collected. Logistic regression model was performed to explore the predictors of in-hospital mortality. Results: Among 512 patients 57 (11.1%) deaths were occurred. the adjusted odds ratios (OR) estimate of death in COVID-19 for patients with age more than 60 years versus those lower than 60 years was 3.15 (95% CI: 1.06, 9.37). The adjusted OR estimate of death in patients with hypertension comorbidity versus those with no comorbidity was 3.84 (95% CI: 1.27, 11.59). In addition, the adjusted OR estimate (95% CI) of death in patients with respiratory rate above 30 per minute, BUN > 20 mg/dL, LDH > 942 U/L and SGOT > 45 U/L against lower than those values was respectively 10.72 (1.99, 57.68), 5.85 (2.19, 15.63), 13.42 (2.17, 83.22) and 2.86 (1.02, 8.05). The risk of death was higher among the patients with multiple comorbidity diseases, systolic BP lower than 90 mmHg, SPO2 lower than 88 and more than ten days hospitalization in comparison with COVID-19 patients with no comorbidity disease (P=0.002), systolic BP higher than 90 mmHg (P=0.002), SPO2 higher than 88 (P<0.001) and hospitalization for lower than ten days (P=0.012). Conclusion: Our findings suggest that, older age, pre-existing hypertension and/or multiple co-morbidities, high respiratory rate, elevated BUN, LDH and SGOT, low systolic BP and hypoxemia were independently associated with in-hospital mortality in COVID-19 patients. These results can be helpful for physicians and health care workers to improve clinical management and appropriate medical care of COVID-19 patients.Ali Reza SoltanianTehran University of Medical Sciencesarticlesars-cov-2infectious diseasecoronavirusdeathepidemiologyMedicine (General)R5-920ENActa Medica Iranica, Pp 587-594 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sars-cov-2 infectious disease coronavirus death epidemiology Medicine (General) R5-920
spellingShingle	sars-cov-2 infectious disease coronavirus death epidemiology Medicine (General) R5-920 Ali Reza Soltanian Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran
description	Background: The coronavirus disease 2019 (COVID-19) pandemic as an emergency public health concern has caused hundreds of thousands of deaths in the world. Identifying predictors of death in COVID-19 patients are a key to improve survival and help patients triage, better management, and assist physicians and health care. Study design: Retrospective observational study Methods: The present study conducted on 512 positive COVID-19 patients confirmed by real-time PCR hospitalized in Sina Hospital, Hamadan in 2020. The data of demographic characteristics, clinical manifestations, laboratory findings, chest examination and disease outcome were collected. Logistic regression model was performed to explore the predictors of in-hospital mortality. Results: Among 512 patients 57 (11.1%) deaths were occurred. the adjusted odds ratios (OR) estimate of death in COVID-19 for patients with age more than 60 years versus those lower than 60 years was 3.15 (95% CI: 1.06, 9.37). The adjusted OR estimate of death in patients with hypertension comorbidity versus those with no comorbidity was 3.84 (95% CI: 1.27, 11.59). In addition, the adjusted OR estimate (95% CI) of death in patients with respiratory rate above 30 per minute, BUN > 20 mg/dL, LDH > 942 U/L and SGOT > 45 U/L against lower than those values was respectively 10.72 (1.99, 57.68), 5.85 (2.19, 15.63), 13.42 (2.17, 83.22) and 2.86 (1.02, 8.05). The risk of death was higher among the patients with multiple comorbidity diseases, systolic BP lower than 90 mmHg, SPO2 lower than 88 and more than ten days hospitalization in comparison with COVID-19 patients with no comorbidity disease (P=0.002), systolic BP higher than 90 mmHg (P=0.002), SPO2 higher than 88 (P<0.001) and hospitalization for lower than ten days (P=0.012). Conclusion: Our findings suggest that, older age, pre-existing hypertension and/or multiple co-morbidities, high respiratory rate, elevated BUN, LDH and SGOT, low systolic BP and hypoxemia were independently associated with in-hospital mortality in COVID-19 patients. These results can be helpful for physicians and health care workers to improve clinical management and appropriate medical care of COVID-19 patients.
format	article
author	Ali Reza Soltanian
author_facet	Ali Reza Soltanian
author_sort	Ali Reza Soltanian
title	Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran
title_short	Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran
title_full	Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran
title_fullStr	Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran
title_full_unstemmed	Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran
title_sort	demographic and clinical features association with mortality in patients with covid-19: a cross-sectional study in the west of iran
publisher	Tehran University of Medical Sciences
publishDate	2021
url	https://doaj.org/article/ecf57caba7bc47dda7887d1ee2a59aea
work_keys_str_mv	AT alirezasoltanian demographicandclinicalfeaturesassociationwithmortalityinpatientswithcovid19acrosssectionalstudyinthewestofiran
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Demographic and clinical features association with mortality in patients with COVID-19: A cross-sectional study in the West of Iran

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