| چکیده انگلیسی مقاله |
Background: Classification of COVID-19 hospitalized patients based on multimorbidity could help in individual evaluation and provide effective triage for better treatment and management. The aim of this study was to extract multimorbidity patterns among hospitalized COVID-19 patients and determine their associations with admission to intensive care units (ICU) and mortality.
Method: The used data in this retrospective study was acquired from registry system for all 13,960 COVID-19 patients from 42 hospitals in Mazandaran province in northern Iran, between March 20, 2020 and July 20, 2021 were recruited. The multimorbidity patterns of 11 chronic diseases were extracted by Latent Class Analysis. The association between multimorbidity pattens with death of COVID-19 and admission to ICU was examined by multilevel logistic regression modeling.
Result: Four classes were identified, including diabetes & cardiovascular disease (Class 1, 3.7%), metabolic diseases & other (Class 2, 0.6 %), diabetes and hypertension (Class 3, 23.0%), and non-multimorbidity (Class 4, 72.7%). Membership in class 1 (diabetes & cardiovascular disease) and class 3 (diabetes and hypertension) compared with class 4 (non-multimorbidity) had a higher odds for experiencing death (OR=2.66 for Class 1 and 1.21 for Class 3). Class 2 was not significantly different from class 4 for mortality.
Conclusion: Multimorbidity classification is a key predictor in COVID-19 patient prognosis, guiding treatment decisions and prioritizing protective measures such as vaccination. Notably, those with multimorbidity patterns of "diabetes & cardiovascular diseases" and "diabetes and hypertension" exhibit the highest risk of ICU admission and mortality. |
| نویسندگان مقاله |
| Maysam Rezapour
Departmant of Paramedicine, Amol School of paramedical Sciences, Mazandaran university of Medical Sciences, Sari, Iran.
| Narges Khanjani
Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran.
| Rahim Sharafkhani
Department of Public Health, Khoy University of Medical Sciences, Khoy, Iran.
| Mahmood Moosazadeh
Non-Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
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