Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study
Introduction: It could be beneficial to accelerate the hospitalization of patients with the identified clinical risk factors of intensive care unit (ICU) admission, in order to control and reduce COVID-19-related mortality. This study aimed to determine the clinical risk factors associated with ICU...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Shahid Beheshti University of Medical Sciences
2023-01-01
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| Series: | Archives of Academic Emergency Medicine |
| Subjects: | |
| Online Access: | https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/1853 |
| _version_ | 1797973285859753984 |
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| author | Farshid Sharifi Mohammad Hossain Mehrolhassani Milad Ahmadi Gohari Ali Karamoozian Yunes Jahani |
| author_facet | Farshid Sharifi Mohammad Hossain Mehrolhassani Milad Ahmadi Gohari Ali Karamoozian Yunes Jahani |
| author_sort | Farshid Sharifi |
| collection | DOAJ |
| description |
Introduction: It could be beneficial to accelerate the hospitalization of patients with the identified clinical risk factors of intensive care unit (ICU) admission, in order to control and reduce COVID-19-related mortality. This study aimed to determine the clinical risk factors associated with ICU hospitalization of COVID-19 patients.
Methods: The current research was a cross-sectional study. The study recruited 7182 patients who had positive PCR tests between February 23, 2020, and September 7, 2021 and were admitted to Afzalipour Hospital in Kerman, Iran, for at least 24 hours. Their demographic characteristics, underlying diseases, and clinical parameters were collected. In order to analyze the relationship between the studied variables and ICU admission, multiple logistic regression model, classification tree, and support vector machine were used.
Results: It was found that 14.7 percent (1056 patients) of the study participants were admitted to ICU. The patients’ average age was 51.25±21 years, and 52.8% of them were male. In the study, some factors such as decreasing oxygen saturation level (OR=0.954, 95%CI: 0.944-0.964), age (OR=1.007, 95%CI: 1.004-1.011), respiratory distress (OR=1.658, 95%CI: 1.410-1.951), reduced level of consciousness (OR=2.487, 95%CI: 1.721-3.596), hypertension (OR=1.249, 95%CI: 1.042-1.496), chronic pulmonary disease (OR=1.250, 95%CI: 1.006-1.554), heart diseases (OR=1.250, 95%CI: 1.009-1.548), chronic kidney disease (OR=1.515, 95%CI: 1.111-2.066), cancer (OR=1.682, 95%CI: 1.130-2.505), seizures (OR=3.428, 95%CI: 1.615-7.274), and gender (OR=1.179, 95%CI: 1.028-1.352) were found to significantly affect ICU admissions.
Conclusions: As evidenced by the obtained results, blood oxygen saturation level, the patient's age, and their level of consciousness are crucial for ICU admission.
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| first_indexed | 2024-04-11T04:01:51Z |
| format | Article |
| id | doaj.art-69a9ed19bae04917bef2713cd66f0a1c |
| institution | Directory Open Access Journal |
| issn | 2645-4904 |
| language | English |
| last_indexed | 2024-04-11T04:01:51Z |
| publishDate | 2023-01-01 |
| publisher | Shahid Beheshti University of Medical Sciences |
| record_format | Article |
| series | Archives of Academic Emergency Medicine |
| spelling | doaj.art-69a9ed19bae04917bef2713cd66f0a1c2023-01-01T17:30:52ZengShahid Beheshti University of Medical SciencesArchives of Academic Emergency Medicine2645-49042023-01-0111110.22037/aaem.v11i1.1853Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study Farshid Sharifi0Mohammad Hossain Mehrolhassani1Milad Ahmadi Gohari 2Ali Karamoozian3Yunes Jahani4Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, IranHealth Services Management Research Center, Institute for Futures Studies in Health, Kerman University of medical sciences, Kerman, Iran.Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran1. Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran 2. Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran1. Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran 2. Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran Introduction: It could be beneficial to accelerate the hospitalization of patients with the identified clinical risk factors of intensive care unit (ICU) admission, in order to control and reduce COVID-19-related mortality. This study aimed to determine the clinical risk factors associated with ICU hospitalization of COVID-19 patients. Methods: The current research was a cross-sectional study. The study recruited 7182 patients who had positive PCR tests between February 23, 2020, and September 7, 2021 and were admitted to Afzalipour Hospital in Kerman, Iran, for at least 24 hours. Their demographic characteristics, underlying diseases, and clinical parameters were collected. In order to analyze the relationship between the studied variables and ICU admission, multiple logistic regression model, classification tree, and support vector machine were used. Results: It was found that 14.7 percent (1056 patients) of the study participants were admitted to ICU. The patients’ average age was 51.25±21 years, and 52.8% of them were male. In the study, some factors such as decreasing oxygen saturation level (OR=0.954, 95%CI: 0.944-0.964), age (OR=1.007, 95%CI: 1.004-1.011), respiratory distress (OR=1.658, 95%CI: 1.410-1.951), reduced level of consciousness (OR=2.487, 95%CI: 1.721-3.596), hypertension (OR=1.249, 95%CI: 1.042-1.496), chronic pulmonary disease (OR=1.250, 95%CI: 1.006-1.554), heart diseases (OR=1.250, 95%CI: 1.009-1.548), chronic kidney disease (OR=1.515, 95%CI: 1.111-2.066), cancer (OR=1.682, 95%CI: 1.130-2.505), seizures (OR=3.428, 95%CI: 1.615-7.274), and gender (OR=1.179, 95%CI: 1.028-1.352) were found to significantly affect ICU admissions. Conclusions: As evidenced by the obtained results, blood oxygen saturation level, the patient's age, and their level of consciousness are crucial for ICU admission. https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/1853COVID-19intensive care unitslogistic modelsdecision treessupport vector machine |
| spellingShingle | Farshid Sharifi Mohammad Hossain Mehrolhassani Milad Ahmadi Gohari Ali Karamoozian Yunes Jahani Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study Archives of Academic Emergency Medicine COVID-19 intensive care units logistic models decision trees support vector machine |
| title | Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study |
| title_full | Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study |
| title_fullStr | Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study |
| title_full_unstemmed | Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study |
| title_short | Clinical Risk Factors of Need for Intensive Care Unit Admission of COVID-19 Patients; a Cross-sectional Study |
| title_sort | clinical risk factors of need for intensive care unit admission of covid 19 patients a cross sectional study |
| topic | COVID-19 intensive care units logistic models decision trees support vector machine |
| url | https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/1853 |
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