Volume 30, Issue 140 (May & June 2022)                   J Adv Med Biomed Res 2022, 30(140): 269-274 | Back to browse issues page


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Talebi S S, Chaman R, Mahdavi S, Enayatrad M, Garkaz O, Khosravi A, et al . Clinical Presentations of Suspected and Confirmed COVID-19 Cases in Shahroud, Iran. J Adv Med Biomed Res 2022; 30 (140) :269-274
URL: http://journal.zums.ac.ir/article-1-6498-en.html
1- Dept. of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran
2- Clinical Research Development Unit, Imam Hossein Hospital, Shahroud University of Medical Sciences, Shahroud, Iran
3- Clinical Research Development Unit, Bahar Hospital, Shahroud University of Medical Sciences, Shahroud, Iran
4- Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran
5- Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran
6- Student Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
7- Dept. of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran , rohani_marzieh@yahoo.com
Abstract:   (83815 Views)

Background and Objective: COVID-19 is a serious disease with different symptoms and risk factors infecting and killing many people around the world. This study was performed to investigate the demographic and clinical characteristics of COVID-19 suspects referred to the hospitals and coronavirus treatment centers of Shahroud, Iran.
Materials and Methods: Upon the outbreak of the COVID-19 epidemic in Shahroud, Shahroud University of Medical Sciences launched a project to systematically record the demographic, clinical, and medical data of all suspects referred to the Corona Center. In this study, the data of 3945 suspected people collected during 5 months were analyzed. The RT-PCR test was used as the criterion for diagnosing the disease.
Results: Among 3945 suspected cases, 24.4% had positive RT-PCR test. The mean age of confirmed cases was 52.16 years. Dry cough and fever in addition to anorexia were reported as the most common symptoms. The results of logistic regression analysis showed that people over 60 years with heart disease reduce the risk, while people over 60 years, diabetics, and obese people increase the risk of infection.
Conclusion: These results necessitate further lines of research into different symptoms and risk factors to help identify COVID-19 cases earlier and start faster treatment.

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 These results necessitate further lines of research into different symptoms and risk factors to help identify COVID-19 cases earlier and start faster treatment.


Type of Study: Original Article | Subject: Epidemiologic studies
Received: 2021/04/11 | Accepted: 2021/09/4 | Published: 2022/04/1

References
1. Organization WHO. World Health Organization coronavirus disease 2019 (COVID-19) situation report. 2020.
2. Emery SL, Erdman DD, Bowen MD,et al. Real-time reverse transcription-polymerase chain reaction assay for SARS-associated coronavirus. Emerg Infect Disease. 2004;10(2):311. [DOI:10.3201/eid1002.030759] [PMID] [PMCID]
3. Team CC-R, Chow N, Fleming-Dutra K, et al. Preliminary estimates of the prevalence of selected underlying health conditions among patients with coronavirus disease 2019-United States, February 12-March 28, 2020. Morbidity and Mortality Weekly Report. 2020;69(13):382-6. [DOI:10.15585/mmwr.mm6913e2] [PMID] [PMCID]
4. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-42. [DOI:10.1001/jama.2020.2648] [PMID]
5. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The lancet. 2020;395(10223):497-506. [DOI:10.1016/S0140-6736(20)30183-5]
6. Jiang W, Zeng Z, Fan D, et al. Decreased counts of T lymphocyte subsets predict prognosis in SARS-CoV-2-infected pneumonia in Wuhan, China: A retrospective study. (February 20, 2020). 2020. [DOI:10.2139/ssrn.3542361]
7. Wu P, Hao X, Lau EH, et al. Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020. Eurosurveillance. 2020;25(3):2000044. [DOI:10.2807/1560-7917.ES.2020.25.3.2000044] [PMID] [PMCID]
8. Farnoosh G, Alishiri G, Zijoud S, Dorostkar R, Farahani AJ. Understanding the 2019-novel coronavirus (2019-nCoV) and coronavirus disease (COVID-19) based on available evidence-a narrative review. J Mil Med. 2020;22(1):1-11.
9. Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of 2019 novel coronavirus infection in China. MedRxiv. 2020.
10. Sun P, Qie S, Liu Z, Ren J, Xi JJ. Clinical characteristics of 50466 patients with 2019-nCoV infection. medRxiv. 2020. [DOI:10.1101/2020.02.18.20024539]
11. Jiehao C, Jin X, Daojiong L, et al. A case series of children with 2019 novel coronavirus infection: clinical and epidemiological features. Clin Infect Disease. 2020;71(6):1547-51. [DOI:10.1093/cid/ciaa198] [PMID] [PMCID]
12. Richardson S, Hirsch JS, Narasimhan M, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. JAMA. 2020;323(20):2052-9. [DOI:10.1001/jama.2020.6775] [PMID] [PMCID]
13. Chan JFW, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The lancet. 2020;395(10223):514-23. [DOI:10.1016/S0140-6736(20)30154-9]
14. Mahdavi S, Kheirieh A, Daliri S, et al. More reliability of suspicious symptoms plus chest CT-scan than RT_PCR test for the diagnosis of COVID-19 in an 18-days-old neonate. IDCases. 2020;21:e00905. [DOI:10.1016/j.idcr.2020.e00905] [PMID] [PMCID]
15. Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, et al. Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Med Infect Disease. 2020;34:101623. [DOI:10.1016/j.tmaid.2020.101623] [PMID] [PMCID]
16. Gupta S, Hayek SS, Wang W, et al. Factors associated with death in critically ill patients with coronavirus disease 2019 in the US. JAMA. 2020;180(11):1436-46.
17. Fu L, Wang B, Yuan T, et al. Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: a systematic review and meta-analysis. J Infect. 2020;80(6):656-65. [DOI:10.1016/j.jinf.2020.03.041] [PMID] [PMCID]
18. Qian J, Zhao L, Ye RZ. Age-dependent gender differences in COVID-19 in Mainland China: Comparative study. Clin Infect Disease. 2020;71(9):2488-94. [DOI:10.1093/cid/ciaa683] [PMID] [PMCID]
19. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The lancet. 2020;395(10229):1054-62. [DOI:10.1016/S0140-6736(20)30566-3]
20. Bhatraju PK, Ghassemieh BJ, Nichols M, et al. Covid-19 in critically ill patients in the Seattle region-case series. New Eng J Med. 2020;382(21):2012-22. [DOI:10.1056/NEJMoa2004500] [PMID] [PMCID]
21. Grasselli G, Pesenti A, Cecconi M. Critical care utilization for the COVID-19 outbreak in Lombardy, Italy: early experience and forecast during an emergency response. JAMA. 2020;323(16):1545-6. [DOI:10.1001/jama.2020.4031] [PMID]
22. Lighter J, Phillips M, Hochman S, et al. Obesity in patients younger than 60 years is a risk factor for Covid-19 hospital admission. Clin Infect Disease. 2020;71(15):896-7. [DOI:10.1093/cid/ciaa415] [PMID] [PMCID]
23. Simonnet A, Chetboun M, Poissy J, et al. High prevalence of obesity in severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) requiring invasive mechanical ventilation. Obesity. 2020;28(7):1195-9. [DOI:10.1002/oby.22831] [PMID] [PMCID]
24. Gao F, Zheng KI, Wang XB, et al. Obesity is a risk factor for greater COVID-19 severity. Diabetes Care. 2020;43(7):e72-e4. [DOI:10.2337/dc20-0682] [PMID]
25. Goldberg SA, Pu CT, Thompson RW, Mark E, Sequist TD, Grabowski DC. Asymptomatic spread of COVID-19 in 97 patients at a skilled nursing facility. J Am Med Direct Assoc. 2020;21(7):980-1. [DOI:10.1016/j.jamda.2020.05.040] [PMID] [PMCID]
26. Pung R, Chiew CJ, Young BE, et al. Investigation of three clusters of COVID-19 in Singapore: implications for surveillance and response measures. The Lancet. 2020;395(10229):1039-46. [DOI:10.1016/S0140-6736(20)30528-6]
27. Wang D, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323(11):1061-9. [DOI:10.1001/jama.2020.1585] [PMID] [PMCID]
28. Zhao X, Zhang B, Li P, et al. Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis. MedRxiv. 2020.
29. Gupta N, Agrawal S, Ish P, et al. Clinical and epidemiologic profile of the initial COVID-19 patients at a tertiary care centre in India. Monaldi Arch Chest Disease. 2020;90(1). [DOI:10.4081/monaldi.2020.1294]
30. Huang I, Lim MA, Pranata R. Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia-a systematic review, meta-analysis, and meta-regression. Diabetes & Metabolic Syndrome: Clin Res & Rev. 2020;14(4):395-403. [DOI:10.1016/j.dsx.2020.04.018] [PMID] [PMCID]

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