Volume 9, Issue 4 (12-2021)                   Jorjani Biomed J 2021, 9(4): 13-21 | Back to browse issues page

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monfared A, moghadamnia M T, Karkhah S, maroufizadeh S, Asadian Rad M, kheirkhah J et al . A Survey for Predictors of Mortality among COVID-19 Patients: A Retrospective Study from Iran. Jorjani Biomed J. 2021; 9 (4) :13-21
URL: http://goums.ac.ir/jorjanijournal/article-1-850-en.html
1- PhD Candidate, Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
2- Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
3- Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran/Social Determinants of Health Research Center (SDHRC), Guilan University of Medical Sciences, Rasht, Iran/Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran
4- Department of Biostatistics, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
5- Department of Cardiovascular Medicine, Heshmat Heart Hospital, Guilan University of Medical Sciences, Guilan, Iran
6- Associate Professor, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran , fja_a80@yahoo.com
Abstract:   (1580 Views)
Background and Objective: In the current COVID-19 pandemic, disease diagnosis is essential for optimal management and timely isolation of infected cases in order to prevent further spread. The aim of this study is to assess of predictors of mortality among COVID-19 patients.
Material and Methods: In a retrospective study, 522 COVID-19 patients were enrolled in Razi hospital, Guilan Province, Iran. This hospital was the main center for the treatment of COVID-19 patients in Guilan province. Data gathering was performed by census sampling from March to August 2020. Simple and Multiple logistic regression analysis was applied to assess the relationships of clinical and demographic characteristics with in-hospital mortality.
Results: Multiple logistic regression showed that older age (aOR=1.04, 95%CI: 1.02 to 1.06, P<0.001), decreased O2 saturation (aOR=0.89, 95%CI: 0.86 to 0.92, P<0.001), having a dysrhythmia (aOR=2.97, 95%CI: 1.46 to 6.05, P=0.003), symptoms associated with heart failure (aOR=0.43, 95%CI: 0.18 to 0.99, P=0.048), and mixed drug antiviruses (aOR=2.44, 95%CI: 1.22 to 4.90, P=0.012) were mortality predictor variables among COVID-19 patients.
Conclusion: Therefore, special attention should be paid to the factors influencing the mortality of COVID-19 patients. It is recommended that older patients, dysrhythmia, and symptoms associated with heart failure be treated with extreme caution.
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Type of Article: Original article | Subject: General medicine
Received: 2021/08/14 | Accepted: 2021/11/6 | Published: 2021/12/28

1. Singh R, Kang A, Luo X, Jeyanathan M, Gillgrass A, Afkhami S, et al. COVID‐19: Current knowledge in clinical features, immunological responses, and vaccine development. FASEB J 2021;35(3):e21409. [view at publisher] [DOI] [Google Scholar]
2. Khaneshpour H, Pashazadeh M, Nasiri R. Coronavirus Disease 2019 (COVID-19): review study. Jorjani Biomed J 2020;8(1):4-10. [view at publisher] [DOI] [Google Scholar]
3. Banerjee A, Pasea L, Harris S, Gonzalez-Izquierdo A, Torralbo A, Shallcross L, et al. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet 2020;395(10238):1715-1725. [view at publisher] [DOI] [Google Scholar]
4. World Health Organization. Coronavirus disease (COVID-19) weekly epidemiological update and weekly operational update [cited 2021 July 2]. [Google Scholar]
5. Karkhah S, Ghazanfari MJ, Shamshirian A, Panahi L, Molai M, Emami Zeydi A. Clinical features of patients with probable 2019 novel coronavirus infected pneumonia in Rasht, Iran: A retrospective case series. Open Access Maced J Med Sci 2020;8(T1):16-22. [view at publisher] [DOI] [Google Scholar]
6. Emami Zeydi A, Ghazanfari MJ, Panahi R, Mortazavi H, Karimifar K, Karkhah S, et al. Coronavirus disease 2019 (COVID-19): A literature review from a nursing perspective. BioMedicine 2021;11(3):5-14. [view at publisher] [DOI] [Google Scholar]
7. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020;323(11):1061-1069. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
8. Jiang F, Deng L, Zhang L, Cai Y, Cheung CW, Xia Z. Review of the clinical characteristics of coronavirus disease 2019 (COVID-19). J Gen Intern Med 2020;35(5):1545-1549. [DOI] [PMID] [PMCID] [Google Scholar]
9. Shafi AM, Shaikh SA, Shirke MM, Iddawela S, Harky A. Cardiac manifestations in COVID‐19 patients-A systematic review. J Card Surg 2020;35(8):1988-2008. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
10. Zheng SQ, Yang L, Zhou PX, Li HB, Liu F, Zhao RS. Recommendations and guidance for providing pharmaceutical care services during COVID-19 pandemic: a China perspective. Res Social Adm Pharm 2021;17(1):1819-1824. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
11. Imam Z, Odish F, Gill I, O'Connor D, Armstrong J, Vanood A, et al. Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID‐19 patients in Michigan, United States. J Intern Med 2020;288(4):469-476. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
12. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020;395(10229):1054-1062. [view at publisher] [DOI] [Google Scholar]
13. Clark A, Jit M, Warren-Gash C, Guthrie B, Wang HHX, Mercer SW, et al. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health 2020;8(8):e1003-e1017. [view at publisher] [Google Scholar]
14. Rapp JL, Lieberman-Cribbin W, Tuminello S, Taioli E. Male sex, severe obesity, older age, and chronic kidney disease are associated with COVID-19 severity and mortality in New York City. Chest 2021;159(1):112-115. [DOI] [PMID] [PMCID] [Google Scholar]
15. Niaee MS, Namdar P, Allami A, Zolghadr L, Javadi A, Karampour A, et al. Ivermectin as an adjunct treatment for hospitalized adult COVID-19 patients: A randomized multi-center clinical trial. Asian Pac J Trop Med 2021;14(6):266. [view at publisher] [DOI] [Google Scholar]
16. Abolghasemi S, Mardani M, Sali S, Honarvar N, Baziboroun M. COVID‐19 and kidney transplant recipients. Transpl Infect Dis 2020;22(6):e13413. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
17. Zylla MM, Merle U, Vey JA, Korosoglou G, Hofmann E, Müller M, et al. Predictors and prognostic implications of cardiac arrhythmias in patients hospitalized for COVID-19. J Clin Med 2021;10(1):133. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
18. Hsia BC, Greige N, Quiroz JA, Khokhar AS, Daily J, Di Biase L, et al. QT prolongation in a diverse, urban population of COVID-19 patients treated with hydroxychloroquine, chloroquine, or azithromycin. J Interv Card Electrophysiol 2020;59(2):337-345. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
19. Samuel S, Friedman RA, Sharma C, Ganigara M, Mitchell E, Schleien C, et al. Incidence of arrhythmias and electrocardiographic abnormalities in symptomatic pediatric patients with PCR-positive SARS-CoV-2 infection, including drug-induced changes in the corrected QT interval. Heart Rhythm 2020;17(11):1960-1966. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
20. Alvarez-Garcia J, Lee S, Gupta A, Cagliostro M, Joshi AA, Rivas-Lasarte M, et al. Prognostic impact of prior heart failure in patients hospitalized with COVID-19. J Am Coll Cardiol 2020;76(20):2334-2348. [DOI] [PMID] [PMCID] [Google Scholar]
21. Lala A, Johnson KW, Januzzi JL, Russak AJ, Paranjpe I, Richter F, et al. Prevalence and impact of myocardial injury in patients hospitalized with COVID-19 infection. J Am Coll Cardiol 2020;76(5):533-546. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
22. Emami A, Javanmardi F, Pirbonyeh N, Akbari A. Prevalence of Underlying Diseases in Hospitalized Patients with COVID-19: a Systematic Review and Meta-Analysis. Arch Acad Emerg Med 2020;8(1):e35-e. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
23. Ghazy RM, Almaghraby A, Shaaban R, Kamal A, Beshir H, Moursi A, et al. A systematic review and meta-analysis on chloroquine and hydroxychloroquine as monotherapy or combined with azithromycin in COVID-19 treatment. Sci Rep 2020;10(1):1-18. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
24. Catteau L, Dauby N, Montourcy M, Bottieau E, Hautekiet J, Goetghebeur E, et al. Low-dose hydroxychloroquine therapy and mortality in hospitalised patients with COVID-19: a nationwide observational study of 8075 participants. Int J Antimicrob Agents 2020;56(4):106144. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]
25. Arshad S, Kilgore P, Chaudhry ZS, Jacobsen G, Wang DD, Huitsing K, et al. Treatment with hydroxychloroquine, azithromycin, and combination in patients hospitalized with COVID-19. Int J Infect Dis 2020;97:396-403. [view at publisher] [DOI] [PMID] [PMCID] [Google Scholar]

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