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Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study
BACKGROUND AND AIMS: About one‐fifth of patients with COVID‐19 need to be hospitalized. Predicting factors affecting the hospital length of stay (LOS) can be effective in prioritizing patients, planning for services, and preventing the increase in LOS and death of patients. The present study aimed t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265171/ https://www.ncbi.nlm.nih.gov/pubmed/37324249 http://dx.doi.org/10.1002/hsr2.1329 |
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author | Mastaneh, Zahra Mouseli, Ali Mohseni, Shokrollah Dadipoor, Sara |
author_facet | Mastaneh, Zahra Mouseli, Ali Mohseni, Shokrollah Dadipoor, Sara |
author_sort | Mastaneh, Zahra |
collection | PubMed |
description | BACKGROUND AND AIMS: About one‐fifth of patients with COVID‐19 need to be hospitalized. Predicting factors affecting the hospital length of stay (LOS) can be effective in prioritizing patients, planning for services, and preventing the increase in LOS and death of patients. The present study aimed to identify the factors that predict LOS and mortality in COVID‐19 patients in a retrospective cohort study. METHODS: A total of 27,859 patients were admitted to 22 hospitals from February 20, 2020 to June 21, 2021. The data collected from 12,454 patients were screened according to the inclusion and exclusion criteria. The data were captured from the MCMC (Medical Care Monitoring Center) database. The study tracked patients until their hospital discharge or death. Hospital LOS and mortality were assessed as the study outcomes. RESULTS: As the results revealed, 50.8% of patients were male and 49.2% were female. The mean hospital LOS of the discharged patients was 4.94. Yet, 9.1% of the patients (n = 1133) died. Among the predictors of mortality and long hospital LOS were the age above 60, admission to the ICU, coughs, respiratory distress, intubation, oxygen level less than 93%, cigarette and drug abuse, and a history of chronic diseases. Masculinity, gastrointestinal symptoms, and cancer were the effective variables in mortality, and positive CT was a factor significantly affecting the hospital LOS. CONCLUSION: Paying special attention to high‐risk patients and modifiable risk factors such as heart disease, liver disease, and other chronic diseases can diminish the complications and mortality rate of COVID‐19. Providing training, especially for those who care for patients experiencing respiratory distress such as nurses and operating room personnel can improve the qualifications and skills of medical staff. Also, ensuring the availability of sufficient supply of medical equipment is strongly recommended. |
format | Online Article Text |
id | pubmed-10265171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102651712023-06-15 Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study Mastaneh, Zahra Mouseli, Ali Mohseni, Shokrollah Dadipoor, Sara Health Sci Rep Original Research BACKGROUND AND AIMS: About one‐fifth of patients with COVID‐19 need to be hospitalized. Predicting factors affecting the hospital length of stay (LOS) can be effective in prioritizing patients, planning for services, and preventing the increase in LOS and death of patients. The present study aimed to identify the factors that predict LOS and mortality in COVID‐19 patients in a retrospective cohort study. METHODS: A total of 27,859 patients were admitted to 22 hospitals from February 20, 2020 to June 21, 2021. The data collected from 12,454 patients were screened according to the inclusion and exclusion criteria. The data were captured from the MCMC (Medical Care Monitoring Center) database. The study tracked patients until their hospital discharge or death. Hospital LOS and mortality were assessed as the study outcomes. RESULTS: As the results revealed, 50.8% of patients were male and 49.2% were female. The mean hospital LOS of the discharged patients was 4.94. Yet, 9.1% of the patients (n = 1133) died. Among the predictors of mortality and long hospital LOS were the age above 60, admission to the ICU, coughs, respiratory distress, intubation, oxygen level less than 93%, cigarette and drug abuse, and a history of chronic diseases. Masculinity, gastrointestinal symptoms, and cancer were the effective variables in mortality, and positive CT was a factor significantly affecting the hospital LOS. CONCLUSION: Paying special attention to high‐risk patients and modifiable risk factors such as heart disease, liver disease, and other chronic diseases can diminish the complications and mortality rate of COVID‐19. Providing training, especially for those who care for patients experiencing respiratory distress such as nurses and operating room personnel can improve the qualifications and skills of medical staff. Also, ensuring the availability of sufficient supply of medical equipment is strongly recommended. John Wiley and Sons Inc. 2023-06-14 /pmc/articles/PMC10265171/ /pubmed/37324249 http://dx.doi.org/10.1002/hsr2.1329 Text en © 2023 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 Mastaneh, Zahra Mouseli, Ali Mohseni, Shokrollah Dadipoor, Sara Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study |
title | Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study |
title_full | Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study |
title_fullStr | Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study |
title_full_unstemmed | Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study |
title_short | Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study |
title_sort | predictors of hospital length of stay and mortality among covid‐19 inpatients during 2020–2021 in hormozgan province of iran: a retrospective cohort study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265171/ https://www.ncbi.nlm.nih.gov/pubmed/37324249 http://dx.doi.org/10.1002/hsr2.1329 |
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