Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran
Background and purpose: Controlling the severity and death of the COVID-19 disease is still a major challenge. This research aimed at identifying the factors associated with mortality in hospitalized patients with COVID-19 applying generalized linear model. Materials and methods: In this cross-secti...
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| Format: | Article |
| Language: | English |
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Mazandaran University of Medical Sciences
2022-11-01
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| Series: | Journal of Mazandaran University of Medical Sciences |
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| Online Access: | http://jmums.mazums.ac.ir/article-1-18390-en.html |
| _version_ | 1797893180239118336 |
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| author | Faezeh Sadat Movahedi Jamshid Yazdani Charati Seyed Nouraddin Mousavinasab Mohammad Sadegh Rezai Fatemeh Safari Haji Kolaei |
| author_facet | Faezeh Sadat Movahedi Jamshid Yazdani Charati Seyed Nouraddin Mousavinasab Mohammad Sadegh Rezai Fatemeh Safari Haji Kolaei |
| author_sort | Faezeh Sadat Movahedi |
| collection | DOAJ |
| description | Background and purpose: Controlling the severity and death of the COVID-19 disease is still a major challenge. This research aimed at identifying the factors associated with mortality in hospitalized patients with COVID-19 applying generalized linear model.
Materials and methods: In this cross-sectional study, demographic and clinical data of COVID-19 patients hospitalized with positive RT-PCR test results (n=6759) in Mazandaran hospitals (August 2019) were obtained from the national registration system for COVID-19. SPSS V27 and R V4.0 were used for data analyses and multivariate generalized linear model test with an ordinal logistic scale was applied.
Results: Findings showed that full recovery and relative recovery occurred in 5888 (87.11%) and 400 (5.92%) patients, respectively. Mortality rate was 6.97%. The chance of death in patients with relative recovery (49.55%) compared with those with full recovery (21.61%) was almost 2.3 times higher. Predictors of mortality in these patients included age over 60 years (OR: 1.60), ICU admission (OR: 5.09), intubation (OR: 4.10), SpO2≤ 93% (OR: 2.41), cancer (OR: 1.74), diabetes (OR: 1.29), heart disease (OR: 1.41), and chronic kidney disease (OR: 2.17).
Conclusion: Specific and timely medical care, considering the mentioned risk factors, should be introduced and provided to prevent mortality in patients hospitalized with COVID-19. |
| first_indexed | 2024-04-10T06:48:47Z |
| format | Article |
| id | doaj.art-d555c3e89f37472a8f10780080a9ebdd |
| institution | Directory Open Access Journal |
| issn | 1735-9260 1735-9279 |
| language | English |
| last_indexed | 2024-04-10T06:48:47Z |
| publishDate | 2022-11-01 |
| publisher | Mazandaran University of Medical Sciences |
| record_format | Article |
| series | Journal of Mazandaran University of Medical Sciences |
| spelling | doaj.art-d555c3e89f37472a8f10780080a9ebdd2023-02-28T09:09:01ZengMazandaran University of Medical SciencesJournal of Mazandaran University of Medical Sciences1735-92601735-92792022-11-0132214143152Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of IranFaezeh Sadat Movahedi0Jamshid Yazdani Charati1Seyed Nouraddin Mousavinasab2Mohammad Sadegh Rezai3Fatemeh Safari Haji Kolaei4 MSc Student in Biostatistics, Student Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran Professor, Department of Biostatistics, Addiction Institute, Health Scienses Research Center, Mazandaran University of Medical Sciences, Sari, Iran Associate Professor, Department of Biostatistics, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran Professor, Pediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran MSc Student in Biostatistics, Student Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran Background and purpose: Controlling the severity and death of the COVID-19 disease is still a major challenge. This research aimed at identifying the factors associated with mortality in hospitalized patients with COVID-19 applying generalized linear model. Materials and methods: In this cross-sectional study, demographic and clinical data of COVID-19 patients hospitalized with positive RT-PCR test results (n=6759) in Mazandaran hospitals (August 2019) were obtained from the national registration system for COVID-19. SPSS V27 and R V4.0 were used for data analyses and multivariate generalized linear model test with an ordinal logistic scale was applied. Results: Findings showed that full recovery and relative recovery occurred in 5888 (87.11%) and 400 (5.92%) patients, respectively. Mortality rate was 6.97%. The chance of death in patients with relative recovery (49.55%) compared with those with full recovery (21.61%) was almost 2.3 times higher. Predictors of mortality in these patients included age over 60 years (OR: 1.60), ICU admission (OR: 5.09), intubation (OR: 4.10), SpO2≤ 93% (OR: 2.41), cancer (OR: 1.74), diabetes (OR: 1.29), heart disease (OR: 1.41), and chronic kidney disease (OR: 2.17). Conclusion: Specific and timely medical care, considering the mentioned risk factors, should be introduced and provided to prevent mortality in patients hospitalized with COVID-19.http://jmums.mazums.ac.ir/article-1-18390-en.htmlcovid-19mortalityrisk factorodds ratiogeneralized linear modelordinal logistic |
| spellingShingle | Faezeh Sadat Movahedi Jamshid Yazdani Charati Seyed Nouraddin Mousavinasab Mohammad Sadegh Rezai Fatemeh Safari Haji Kolaei Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran Journal of Mazandaran University of Medical Sciences covid-19 mortality risk factor odds ratio generalized linear model ordinal logistic |
| title | Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran |
| title_full | Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran |
| title_fullStr | Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran |
| title_full_unstemmed | Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran |
| title_short | Factors Associated with Mortality in Patients Hospitalized with COVID-19 Using Generalized Linear Model (Ordinal Logistic Regression) in North of Iran |
| title_sort | factors associated with mortality in patients hospitalized with covid 19 using generalized linear model ordinal logistic regression in north of iran |
| topic | covid-19 mortality risk factor odds ratio generalized linear model ordinal logistic |
| url | http://jmums.mazums.ac.ir/article-1-18390-en.html |
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