Survival Analysis of COVID-19 Patients in an Iranian Population
Background: Coronavirus disease 2019 (COVID-19) has a high rate of mortality, but data regarding its prognosis are scarce. This study aimed to identify the risk factors associated with mortality and survival of COVID-19 patients in a southern province of Iran. Materials and Methods: This was a cross...
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| Format: | Article |
| Language: | English |
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Hormozgan University of Medical Sciences
2023-01-01
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| Series: | Disease and Diagnosis |
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| Online Access: | https://ddj.hums.ac.ir/PDF/ddj-12-12.pdf |
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| author | Shideh Rafati Teamur Aghamolaei Abbas Bahrampour Farid Khorrami Masoumeh Kheirandish Bahareh Khosravi Foozieh Rafati |
| author_facet | Shideh Rafati Teamur Aghamolaei Abbas Bahrampour Farid Khorrami Masoumeh Kheirandish Bahareh Khosravi Foozieh Rafati |
| author_sort | Shideh Rafati |
| collection | DOAJ |
| description | Background: Coronavirus disease 2019 (COVID-19) has a high rate of mortality, but data regarding its prognosis are scarce. This study aimed to identify the risk factors associated with mortality and survival of COVID-19 patients in a southern province of Iran. Materials and Methods: This was a cross-sectional study with a secondary database of 3172 people who were admitted to hospitals for COVID-19 treatment. Relative risk (RR) was computed to estimate mortality risk between groups, and the log-rank test was used to compare the survival functions in different levels of categorical variables. Finally, the multivariable extended Cox model was employed to determine the factors that affected the survival of COVID-19 patients. Results: The 10- and 15-day survival rate of 3172 patients was 89% and 80%, respectively, and the median survival time was 30 days. Based on the extended Cox model, age, oxygen therapy, intensive care unit (ICU) admission, invasive ventilation, chronic cardiac disease, chronic kidney disease, and cancer were the most important variables affecting the survival of COVID-19 patients. Conclusion: Older people (older than 40 years) and those with comorbidities (e.g., chronic cardiac disease, chronic kidney disease, and cancer) had a higher mortality rate; therefore, health-related organizations need to plan for the prevention and early detection of comorbidities to reduce the burden of diseases such as the pandemic of COVID-19 as much as possible in the future. |
| first_indexed | 2024-04-09T15:03:02Z |
| format | Article |
| id | doaj.art-865700551cff4ea5a53c85a634ee82fd |
| institution | Directory Open Access Journal |
| issn | 2717-3232 |
| language | English |
| last_indexed | 2024-04-09T15:03:02Z |
| publishDate | 2023-01-01 |
| publisher | Hormozgan University of Medical Sciences |
| record_format | Article |
| series | Disease and Diagnosis |
| spelling | doaj.art-865700551cff4ea5a53c85a634ee82fd2023-05-01T07:48:49ZengHormozgan University of Medical SciencesDisease and Diagnosis2717-32322023-01-01121122010.34172/ddj.2023.432ddj-432Survival Analysis of COVID-19 Patients in an Iranian PopulationShideh Rafati0Teamur Aghamolaei1Abbas Bahrampour2Farid Khorrami3Masoumeh Kheirandish4Bahareh Khosravi5Foozieh Rafati6Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.Health Information Technology, Faculty of Paramedicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.Trinity Translational Medicine Institute, Trinity College Dublin, Ireland.Nursing and Midwifery College, Jiroft University of Medical Sciences, Jiroft, Iran.Background: Coronavirus disease 2019 (COVID-19) has a high rate of mortality, but data regarding its prognosis are scarce. This study aimed to identify the risk factors associated with mortality and survival of COVID-19 patients in a southern province of Iran. Materials and Methods: This was a cross-sectional study with a secondary database of 3172 people who were admitted to hospitals for COVID-19 treatment. Relative risk (RR) was computed to estimate mortality risk between groups, and the log-rank test was used to compare the survival functions in different levels of categorical variables. Finally, the multivariable extended Cox model was employed to determine the factors that affected the survival of COVID-19 patients. Results: The 10- and 15-day survival rate of 3172 patients was 89% and 80%, respectively, and the median survival time was 30 days. Based on the extended Cox model, age, oxygen therapy, intensive care unit (ICU) admission, invasive ventilation, chronic cardiac disease, chronic kidney disease, and cancer were the most important variables affecting the survival of COVID-19 patients. Conclusion: Older people (older than 40 years) and those with comorbidities (e.g., chronic cardiac disease, chronic kidney disease, and cancer) had a higher mortality rate; therefore, health-related organizations need to plan for the prevention and early detection of comorbidities to reduce the burden of diseases such as the pandemic of COVID-19 as much as possible in the future.https://ddj.hums.ac.ir/PDF/ddj-12-12.pdfcovid-19epidemiologymortalitysurvival |
| spellingShingle | Shideh Rafati Teamur Aghamolaei Abbas Bahrampour Farid Khorrami Masoumeh Kheirandish Bahareh Khosravi Foozieh Rafati Survival Analysis of COVID-19 Patients in an Iranian Population Disease and Diagnosis covid-19 epidemiology mortality survival |
| title | Survival Analysis of COVID-19 Patients in an Iranian Population |
| title_full | Survival Analysis of COVID-19 Patients in an Iranian Population |
| title_fullStr | Survival Analysis of COVID-19 Patients in an Iranian Population |
| title_full_unstemmed | Survival Analysis of COVID-19 Patients in an Iranian Population |
| title_short | Survival Analysis of COVID-19 Patients in an Iranian Population |
| title_sort | survival analysis of covid 19 patients in an iranian population |
| topic | covid-19 epidemiology mortality survival |
| url | https://ddj.hums.ac.ir/PDF/ddj-12-12.pdf |
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