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Association of Mortality of Covid-19 with Demographic Characteristics and Clinical Status of the Hospitalized Patients: A Retrospective Cohort Study
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Zhale Mollai1    , Ladan Sedighi2 , Mehrnaz Ahmadi3 , Shiva Gomarverdi4 , Shima Shirozhan 5 |
1- Research Committee of Hamadan University of Medical Sciences, Hamadan, Iran.
2- Medical and surgical nursing department, school of nursing and Midwifery , shahid Beheshti university of medical sciences, Tehran, Iran
3- Medical and surgical nursing department,school of nursing and Midwifery ,nursing care research center in chronic disease, Ahvaz Jundishapur university of medical sciences, Ahvaz, Iran
4- department of medical and surgical nursing, school of nursing and midwifery, hamadan university of medical sciences, Hamadan, Iran.
5- department of nursing, university of social welfare and rehabilitation science, Tehran, Iran. , shimashirozhan@gmail.com |
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Abstract: (881 Views) |
Background and Aim: A variety of factors, such as age and underlying diseases, affect the severity of covid-19 and its mortality rate. Identification of these factors is important to manage the disease in vulnerable people. The purpose of this study was to examine the association of outcome of covid-19 with demographic characteristics, underlying diseases, serum biomarkers, and level of care for inpatients.
Materials and Methods: This retrospective cohort study was conducted in Sina Hospital in Hamadan in 1400. All adult hospitalized patients with definite diagnosis of COVID-19 were included in the study by convenience sampling method during a three-month period. Demographic and clinical status data were collected using a designed questionnaire. Using SPSS software the data were analyzed by independent t, Mann-Whitney, and multivariate logistic regression analysis tests.
Results: A total of 283 hospitalized patients with a mean age of 57.22 years participated in this study, of which 67 (23.7%) died. Among the deceased patients, 92.4% were over 50 years of age which showed a significant difference compared to the deceased patients under 50 years of age (P<0.001). People who died with any documented history of underlying diseases accounted for 83.3% of the deceased patients, and their proportion was statistically significant compared to the patients without any underlying disease (P 0.0005). Prevalence of severe acute respiratory distress syndrome (ARDS) was significantly different in the deceased patients (28.8%) compared to that in the survivors (3.9%) (P<0.001). According to the results of our study age, gender, history of underlying diseases, serum BUN level and severity of acute respiratory distress syndrome are predictors of death in the patients with Covid-19.
Conclusion: The findings of this study indicated the need to pay more attention to preventive measures in old people with underlying diseases. It can also help healthcare professionals to consider designing programs for prevention, appropriate care and treatment in relation to the predictors of mortality. |
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| Keywords: COVID-19, Mortality, Prognosis |
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Full-Text [PDF 531 kb]
(124 Downloads)
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Type of Study: Original Research |
Subject:
Epidemiology and Biostatistics
Received: 2022/06/6 | Accepted: 2022/12/14 | Published: 2023/12/6
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Ethics code: IR.UMSHA.REC.1399.458
Mollai Z, Sedighi L, Ahmadi M, Gomarverdi S, Shirozhan S. Association of Mortality of Covid-19 with Demographic Characteristics and Clinical Status of the Hospitalized Patients: A Retrospective Cohort Study. SJKU 2023; 28 (5) :60-74 URL: http://sjku.muk.ac.ir/article-1-7378-en.html
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