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Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia
BACKGROUND: Patients’ race and ethnicity may play a role in mortality from Covid-19. Studies in China, the US, and Europe have been conducted on the predictors of Covid-19 mortality, yet in the EMR countries, such studies are scarce. Therefore, we aimed to describe the hospitalization rate, ICU-admi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758036/ https://www.ncbi.nlm.nih.gov/pubmed/36526994 http://dx.doi.org/10.1186/s12879-022-07945-8 |
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author | Abolfotouh, Mostafa A. Musattat, Abrar Alanazi, Maha Alghnam, Suliman Bosaeed, Mohammad |
author_facet | Abolfotouh, Mostafa A. Musattat, Abrar Alanazi, Maha Alghnam, Suliman Bosaeed, Mohammad |
author_sort | Abolfotouh, Mostafa A. |
collection | PubMed |
description | BACKGROUND: Patients’ race and ethnicity may play a role in mortality from Covid-19. Studies in China, the US, and Europe have been conducted on the predictors of Covid-19 mortality, yet in the EMR countries, such studies are scarce. Therefore, we aimed to describe the hospitalization rate, ICU-admission, and in-hospital mortality of Covid-19 and predictors of in-hospital mortality in Saudi Arabia. METHODS: E-medical records were examined for all Covid-19 patients diagnosed in five tertiary hospitals affiliated with the Saudi-National Guard-Health Affairs during March 21, 2020, and September 12, 2021, based on a positive SARS-CoV-2 RT-PCR test, (n = 35,284). Data were collected on patients’ characteristics, comorbidities, laboratory findings, hospitalization, ICU admission, and in-hospital and overall mortality. Logestic regressions were used to identify the independent predictors of in-hospital mortality. The best laboratory parameters cut-off values to predict in-hospital mortality were identified using the area under the receiver operating characteristic curve (AUC). Significance was considered at p < 0.05. RESULTS: Of all 35,284 Covid-19 patients, 81.8% were adults and 21.7% were hospitalized. Compared to non-hospitalized patients, hospitalized patients were more of female gender (52.1% versus 47.3%, p < 0.001) and had higher mean age (p < 0.001), higher mean BMI (p < 0.001), and higher rates of: diabetes (p < 0.001), hypertension (p < 0.001), ischemic heart disease (p < 0.001), cancer (p < 0.001), COPD (p < 0.001) and asthma (p = 0.011). The study showed 3.1% overall case-fatality, 20.3% ICU admission rate, and 9.7% in-hospital mortality. Predictors of in-hospital mortality among adult patients were; patients’ age ≥ 70 years (OR = 6.93, 95% CI 1.94–24.79), ischemic heart disease (OR = 1.80, 95% CI 1.05–3.09), ICU admission (OR = 24.38, 95% CI 15.64–38.01), abnormal C-reactive protein “CRP” (OR = 1.85, 95% CI 1.08–3.16), abnormal D-dimer (OR = 1.96, 95% CI 1.15–3.36), lymphopenia (OR = 2.76, 95% CI 2.03–3.3.76), high neutrophil count (OR = 2.10, 95% CI 1.54–2.87), and abnormal procalcitonin (OR = 3.33, 95% CI 1.88–5.90). The best laboratory parameters cut-off values to predict in-hospital mortality were CRP > 72.25 mg/L (AUC = 0.64), d-dimer > 1125 µg/L (AUC = 0.75), neutrophils count > 5,745 × 10^9/L (AUC = 0.70), lymphocytic count < 1.10 × 10^9/L (AUC = 0.72), and procalcitonin > 0.18 ng/mL (AUC = 0.76). CONCLUSIONS: Rates of hospitalization, ICU-admission, in-hospital mortality and overall case fatality were nearly comparable to the rates in western countries. Early interventions are necessary for high-risk Covid-19 patients, especially elderly patients and those with cardiac diseases. |
format | Online Article Text |
id | pubmed-9758036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97580362022-12-18 Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia Abolfotouh, Mostafa A. Musattat, Abrar Alanazi, Maha Alghnam, Suliman Bosaeed, Mohammad BMC Infect Dis Research BACKGROUND: Patients’ race and ethnicity may play a role in mortality from Covid-19. Studies in China, the US, and Europe have been conducted on the predictors of Covid-19 mortality, yet in the EMR countries, such studies are scarce. Therefore, we aimed to describe the hospitalization rate, ICU-admission, and in-hospital mortality of Covid-19 and predictors of in-hospital mortality in Saudi Arabia. METHODS: E-medical records were examined for all Covid-19 patients diagnosed in five tertiary hospitals affiliated with the Saudi-National Guard-Health Affairs during March 21, 2020, and September 12, 2021, based on a positive SARS-CoV-2 RT-PCR test, (n = 35,284). Data were collected on patients’ characteristics, comorbidities, laboratory findings, hospitalization, ICU admission, and in-hospital and overall mortality. Logestic regressions were used to identify the independent predictors of in-hospital mortality. The best laboratory parameters cut-off values to predict in-hospital mortality were identified using the area under the receiver operating characteristic curve (AUC). Significance was considered at p < 0.05. RESULTS: Of all 35,284 Covid-19 patients, 81.8% were adults and 21.7% were hospitalized. Compared to non-hospitalized patients, hospitalized patients were more of female gender (52.1% versus 47.3%, p < 0.001) and had higher mean age (p < 0.001), higher mean BMI (p < 0.001), and higher rates of: diabetes (p < 0.001), hypertension (p < 0.001), ischemic heart disease (p < 0.001), cancer (p < 0.001), COPD (p < 0.001) and asthma (p = 0.011). The study showed 3.1% overall case-fatality, 20.3% ICU admission rate, and 9.7% in-hospital mortality. Predictors of in-hospital mortality among adult patients were; patients’ age ≥ 70 years (OR = 6.93, 95% CI 1.94–24.79), ischemic heart disease (OR = 1.80, 95% CI 1.05–3.09), ICU admission (OR = 24.38, 95% CI 15.64–38.01), abnormal C-reactive protein “CRP” (OR = 1.85, 95% CI 1.08–3.16), abnormal D-dimer (OR = 1.96, 95% CI 1.15–3.36), lymphopenia (OR = 2.76, 95% CI 2.03–3.3.76), high neutrophil count (OR = 2.10, 95% CI 1.54–2.87), and abnormal procalcitonin (OR = 3.33, 95% CI 1.88–5.90). The best laboratory parameters cut-off values to predict in-hospital mortality were CRP > 72.25 mg/L (AUC = 0.64), d-dimer > 1125 µg/L (AUC = 0.75), neutrophils count > 5,745 × 10^9/L (AUC = 0.70), lymphocytic count < 1.10 × 10^9/L (AUC = 0.72), and procalcitonin > 0.18 ng/mL (AUC = 0.76). CONCLUSIONS: Rates of hospitalization, ICU-admission, in-hospital mortality and overall case fatality were nearly comparable to the rates in western countries. Early interventions are necessary for high-risk Covid-19 patients, especially elderly patients and those with cardiac diseases. BioMed Central 2022-12-17 /pmc/articles/PMC9758036/ /pubmed/36526994 http://dx.doi.org/10.1186/s12879-022-07945-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Abolfotouh, Mostafa A. Musattat, Abrar Alanazi, Maha Alghnam, Suliman Bosaeed, Mohammad Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia |
title | Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia |
title_full | Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia |
title_fullStr | Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia |
title_full_unstemmed | Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia |
title_short | Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia |
title_sort | clinical characteristics and outcome of covid-19 illness and predictors of in-hospital mortality in saudi arabia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758036/ https://www.ncbi.nlm.nih.gov/pubmed/36526994 http://dx.doi.org/10.1186/s12879-022-07945-8 |
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