Cargando…
Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study
BACKGROUND: COVID-19 pandemic is a major strain on health and economic systems, with rapidly increasing demand for in patients’ facilities. Disease diagnosis and estimating patients at higher risk is important for the optimal management during the pandemic. This study aimed to identify the predictor...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055273/ https://www.ncbi.nlm.nih.gov/pubmed/33883900 http://dx.doi.org/10.2147/JMDH.S304788 |
_version_ | 1783680419960455168 |
---|---|
author | Alwafi, Hassan Naser, Abdallah Y Qanash, Sultan Brinji, Ahmad S Ghazawi, Maher A Alotaibi, Basil Alghamdi, Ahmad Alrhmani, Aisha Fatehaldin, Reham Alelyani, Ali Basfar, Abdulrhman AlBarakati, Abdulaziz Alsharif, Ghaidaa F Obaid, Elaf F Shabrawishi, Mohammed |
author_facet | Alwafi, Hassan Naser, Abdallah Y Qanash, Sultan Brinji, Ahmad S Ghazawi, Maher A Alotaibi, Basil Alghamdi, Ahmad Alrhmani, Aisha Fatehaldin, Reham Alelyani, Ali Basfar, Abdulrhman AlBarakati, Abdulaziz Alsharif, Ghaidaa F Obaid, Elaf F Shabrawishi, Mohammed |
author_sort | Alwafi, Hassan |
collection | PubMed |
description | BACKGROUND: COVID-19 pandemic is a major strain on health and economic systems, with rapidly increasing demand for in patients’ facilities. Disease diagnosis and estimating patients at higher risk is important for the optimal management during the pandemic. This study aimed to identify the predictors of mortality and length of hospital stay in COVID-19 patients. METHODS: A retrospective cross-sectional study was conducted between March 2020 and August 2020 at Al-Noor Specialist Hospital in Mecca, Saudi Arabia. All patients who were admitted and had a confirmed COVID-19 diagnosis by a real-time polymerase chain reaction (PCR) were included in the study. Descriptive statistics were used to describe patients’ demographic characteristics, laboratory findings, and clinical outcomes. Multiple logistic/linear regression analysis was used to identify predictors of death and length of stay at the hospital. RESULTS: A total of 706 patients were hospitalised for COVID-19. The mean age was 48.0 years (SD: 15.6 years). More than half of the patients (68.5%; n= 292) were males. The median duration of stay at the hospital was 6.0 days (IQR: 300–10:00). The prevalence rate of venous thromboembolism (VTE) among the patients was 3.0% (n= 21). In the multivariate logistic regression analysis, age (AOR: 1.05; 1.02–1.09), patients with end-stage renal disease (AOR: 6.44; 2.20–18.87), low Oxygen saturation SPO2 (AOR: 9.92; 4.19–23.50), D.dimer >0.5 (AOR: 13.31; 5.45–32.49), ESR>10 mm/h (AOR: 4.08; 1.72–9.68), Ferritin>400mcg/L (AOR: 18.55; 6.89–49.96), and Procalcitonin>0.5ug/L (AOR: 8.23; 1.81– 37.40) were associated with a higher risk of death among patients with COVID-19. Patients with VTE (AOR: 12.86; 3.07– 53.92) were at higher risk of death due to COVID-19. CONCLUSION: Hospitalised COVID-19 patients have multiple negative consequences in terms of their laboratory findings, signs and symptoms. Age and end-stage renal diseases have a significant impact on the mortality rate and the length of hospital stay among COVID-19 patients. |
format | Online Article Text |
id | pubmed-8055273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-80552732021-04-20 Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study Alwafi, Hassan Naser, Abdallah Y Qanash, Sultan Brinji, Ahmad S Ghazawi, Maher A Alotaibi, Basil Alghamdi, Ahmad Alrhmani, Aisha Fatehaldin, Reham Alelyani, Ali Basfar, Abdulrhman AlBarakati, Abdulaziz Alsharif, Ghaidaa F Obaid, Elaf F Shabrawishi, Mohammed J Multidiscip Healthc Original Research BACKGROUND: COVID-19 pandemic is a major strain on health and economic systems, with rapidly increasing demand for in patients’ facilities. Disease diagnosis and estimating patients at higher risk is important for the optimal management during the pandemic. This study aimed to identify the predictors of mortality and length of hospital stay in COVID-19 patients. METHODS: A retrospective cross-sectional study was conducted between March 2020 and August 2020 at Al-Noor Specialist Hospital in Mecca, Saudi Arabia. All patients who were admitted and had a confirmed COVID-19 diagnosis by a real-time polymerase chain reaction (PCR) were included in the study. Descriptive statistics were used to describe patients’ demographic characteristics, laboratory findings, and clinical outcomes. Multiple logistic/linear regression analysis was used to identify predictors of death and length of stay at the hospital. RESULTS: A total of 706 patients were hospitalised for COVID-19. The mean age was 48.0 years (SD: 15.6 years). More than half of the patients (68.5%; n= 292) were males. The median duration of stay at the hospital was 6.0 days (IQR: 300–10:00). The prevalence rate of venous thromboembolism (VTE) among the patients was 3.0% (n= 21). In the multivariate logistic regression analysis, age (AOR: 1.05; 1.02–1.09), patients with end-stage renal disease (AOR: 6.44; 2.20–18.87), low Oxygen saturation SPO2 (AOR: 9.92; 4.19–23.50), D.dimer >0.5 (AOR: 13.31; 5.45–32.49), ESR>10 mm/h (AOR: 4.08; 1.72–9.68), Ferritin>400mcg/L (AOR: 18.55; 6.89–49.96), and Procalcitonin>0.5ug/L (AOR: 8.23; 1.81– 37.40) were associated with a higher risk of death among patients with COVID-19. Patients with VTE (AOR: 12.86; 3.07– 53.92) were at higher risk of death due to COVID-19. CONCLUSION: Hospitalised COVID-19 patients have multiple negative consequences in terms of their laboratory findings, signs and symptoms. Age and end-stage renal diseases have a significant impact on the mortality rate and the length of hospital stay among COVID-19 patients. Dove 2021-04-15 /pmc/articles/PMC8055273/ /pubmed/33883900 http://dx.doi.org/10.2147/JMDH.S304788 Text en © 2021 Alwafi et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Alwafi, Hassan Naser, Abdallah Y Qanash, Sultan Brinji, Ahmad S Ghazawi, Maher A Alotaibi, Basil Alghamdi, Ahmad Alrhmani, Aisha Fatehaldin, Reham Alelyani, Ali Basfar, Abdulrhman AlBarakati, Abdulaziz Alsharif, Ghaidaa F Obaid, Elaf F Shabrawishi, Mohammed Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study |
title | Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study |
title_full | Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study |
title_fullStr | Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study |
title_full_unstemmed | Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study |
title_short | Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study |
title_sort | predictors of length of hospital stay, mortality, and outcomes among hospitalised covid-19 patients in saudi arabia: a cross-sectional study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055273/ https://www.ncbi.nlm.nih.gov/pubmed/33883900 http://dx.doi.org/10.2147/JMDH.S304788 |
work_keys_str_mv | AT alwafihassan predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT naserabdallahy predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT qanashsultan predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT brinjiahmads predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT ghazawimahera predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT alotaibibasil predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT alghamdiahmad predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT alrhmaniaisha predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT fatehaldinreham predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT alelyaniali predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT basfarabdulrhman predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT albarakatiabdulaziz predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT alsharifghaidaaf predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT obaidelaff predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy AT shabrawishimohammed predictorsoflengthofhospitalstaymortalityandoutcomesamonghospitalisedcovid19patientsinsaudiarabiaacrosssectionalstudy |