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Hemati, Zahra, Sayadi, Mehrab, Lotfi, Mehrzad, Hemmati, Abdulrasool, Azadian, Fatemeh, Mirahmadizadeh, Alireza, Rezaei, Fatemeh, Shirazi Yeganeh, Babak. (1401). Determining the Predictors of Covid-19 Disease Based on Data from Fars Province. سامانه مدیریت نشریات علمی, 11(1 (Supplement)), 195-201. doi: 10.30476/jhsss.2022.93049.1411
Zahra Hemati; Mehrab Sayadi; Mehrzad Lotfi; Abdulrasool Hemmati; Fatemeh Azadian; Alireza Mirahmadizadeh; Fatemeh Rezaei; Babak Shirazi Yeganeh. "Determining the Predictors of Covid-19 Disease Based on Data from Fars Province". سامانه مدیریت نشریات علمی, 11, 1 (Supplement), 1401, 195-201. doi: 10.30476/jhsss.2022.93049.1411
Hemati, Zahra, Sayadi, Mehrab, Lotfi, Mehrzad, Hemmati, Abdulrasool, Azadian, Fatemeh, Mirahmadizadeh, Alireza, Rezaei, Fatemeh, Shirazi Yeganeh, Babak. (1401). 'Determining the Predictors of Covid-19 Disease Based on Data from Fars Province', سامانه مدیریت نشریات علمی, 11(1 (Supplement)), pp. 195-201. doi: 10.30476/jhsss.2022.93049.1411
Hemati, Zahra, Sayadi, Mehrab, Lotfi, Mehrzad, Hemmati, Abdulrasool, Azadian, Fatemeh, Mirahmadizadeh, Alireza, Rezaei, Fatemeh, Shirazi Yeganeh, Babak. Determining the Predictors of Covid-19 Disease Based on Data from Fars Province. سامانه مدیریت نشریات علمی, 1401; 11(1 (Supplement)): 195-201. doi: 10.30476/jhsss.2022.93049.1411

Determining the Predictors of Covid-19 Disease Based on Data from Fars Province

Journal of Health Sciences & Surveillance System
دوره 11، 1 (Supplement)، فروردین 2023، صفحه 195-201    اصل مقاله (319.4 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jhsss.2022.93049.1411
نویسندگان
Zahra Hemati1؛ Mehrab Sayadi2؛ Mehrzad Lotfi3؛ Abdulrasool Hemmati4؛ Fatemeh Azadian4؛ Alireza Mirahmadizadeh4؛ Fatemeh Rezaei5؛ Babak Shirazi Yeganeh* 6
1School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
2Non-Communicable Diseases Research Center and Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
3Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
4Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
5Research Center for Social Determinants of Health, Jahrom University of Medical Sciences, Jahrom, Iran
6Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
Background: The coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide and becoming a pandemic. Since the diagnostic tests are relatively expensive, simple diagnostic tests are valuable for quarantining individuals suspicious of COVID- 19. This study is designed to predict the potential contributing factors of COVID-19 diagnosis.
Methods: It was a referral-based historical cohort study. 363358 individuals referred to the health centers from February to November 2020 in Fars province were entered in the study. The collected data before the lab test were symptoms, underlying diseases, some conditions, risk factors, and demographic information. The Reverse transcriptase polymerase chain reaction test was performed to identify the COVID-19 virus. Chi-square and T-tests were used to compare the variables. A logistic regression test was used to identify predictor variables.
Results: Positive COVID-19 test was reported for 119,324 (% 34.9) participations. The positive group result was compared with that of the negative group (n=244,034). The studied symptoms were significant in positive patients. According to the odds ratio (OR), smell disorder (OR=3.80, P<0.001), taste disorder (OR=3.17, P<0.001), and fever (OR=2.65, P<0.001) were common. However, diarrhea, chest pain and dyspnea showed the lowest odds ratio. According to the results, DM (OR=1.46, P<0.001), HTN (OR=1.42, P<0.001), and CVD (OR=1.27, P<0.001) were common in patients with positive COVID-19 tests. Cases whose Body Mass Index (BMI) was more than 40 (excessive obesity) showed a higher odd (OR=1.45, P<0.001) for being positive.
Conclusion: According to the results, the symptoms and underlying diseases are effective factors in predicting COVID- 19 disease. Identifying these factors for Covid-19 disease helps health policymakers to make quick decisions and take timely action.
کلیدواژه‌ها
COVID-19؛ Diagnosis؛ Risk factors؛ Signs؛ Symptoms
مراجع
  1. Chan JFW, Kok KH, Zhu Z, Chu H, To KKW, Yuan SF, et al. Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan. Emerg Microbes Infect. 2020;9(1):221-36. doi: 10.1080/22221751.2020.1719902. PMID: 31987001.
  2. Li RY, Pei S, Chen B, Song YM, Zhang T, Yang W, et al. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2). Science. 2020;368(6490):489. doi: 10.1126/science.abb3221. PMID: 32179701.
  3. Bordi L, Nicastri E, Scorzolini L, Di Caro A, Capobianchi MR, Castilletti C, et al. Differential diagnosis of illness in patients under investigation for the novel coronavirus (SARS-CoV-2), Italy, February 2020. Eurosurveillance. 2020;25(8):2-5. doi: 10.2807/1560-7917.Es.2020.25.8.2000170. PMID: 32127123.
  4. Chu H, Chan JFW, Wang YX, Yuen TTT, Chai Y, Hou YX, et al. Comparative Replication and Immune Activation Profiles of SARS-CoV-2 and SARS-CoV in Human Lungs: An Ex Vivo Study With Implications for the Pathogenesis of COVID-19. Clin Infect Dis. 2020;71(6):1400-9. doi: 10.1093/cid/ciaa410. PMID: 32270184.
  5. Chan JFW, Yuan SF, Kok KH, To KKW, Chu H, Yang J, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020;395(10223):514-23. doi: 10.1016/s0140-6736(20)30154-9. PMID: 31986261.
  6. Zhou F, Yu T, Du RH, Fan GH, Liu Y, Liu ZB, 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):1054-62. doi: 10.1016/s0140-6736(20)30566-3. PMID: 32171076.
  7. Bhuiyan MU, Stiboy E, Hassan MZ, Chan M, Islam MS, Haider N, et al. Epidemiology of COVID-19 infection in young children under five years: A systematic review and meta-analysis. Vaccine. 2021;39(4):667-77. doi: 10.1016/j.vaccine.2020.11.078. PMID: 33342635.
  8. Evliyaoglu O, Kilinc AA, Onal P, Aygun F, Cokugras H. COVID-19 in children. Turk Pediatr Ars. 2020;55(2):85-. doi: 10.14744/TurkPediatriArs.2020.07742. PMID: 32684751.
  9. Qian J, Zhao L, Ye RZ, Li XJ, Liu YL. Age-dependent Gender Differences in COVID-19 in Mainland China: Comparative Study. Clin Infect Dis. 2020;71(9):2488-94. doi: 10.1093/cid/ciaa683. PMID: 32473009.
  10. Zibaeenezhad MJ, Sayadi M, Bazrafshan H, Daneshvar Z, Parsa N, Farshadi N, et al. The Prevalence of Cardiovascular Risk Factors in Fatal Cases of COVID-19 in Fars Province, Iran. Int Cardiovasc Res J. 2021;15(1):35-9.
  11. Haghpanah S, Hosseini-Bensenjan M, Sayadi M, Karimi M. Incidence Rate of COVID-19 Infection in Hemoglobinopathies: A Systematic Review and Meta-analysis. Hemoglobin. 2021;45(6):371-9. doi: 10.1080/03630269.2021.1927751. PMID: 34027786.
  12. Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020;382(18):1708-20. doi: 10.1056/NEJMoa2002032. PMID: 32109013.
  13. Huang CL, Wang YM, Li XW, Ren LL, Zhao JP, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. doi: 10.1016/s0140-6736(20)30183-5. PMID: 31986264.
  14. Arabi YM, Murthy S, Webb S. COVID-19: a novel coronavirus and a novel challenge for critical care. Intensive Care Med. 2020;46(5):833-6. doi:10.1007/s00134-020-05955-1. PMID: 32125458.
  15. 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-J Am Med Assoc. 2020;323(16):1545-6. doi: 10.1001/jama.2020.4031. PMID: 32167538.
  16. Xie JF, Tong ZH, Guan XD, Du B, Qiu HB, Slutsky AS. Critical care crisis and some recommendations during the COVID-19 epidemic in China. Intensive Care Med. 2020;46(5):837-40. doi: 10.1007/s00134-020-05979-7. PMID: 32123994.
  17. Lei SQ, Jiang F, Su WT, Chen C, Chen JL, Mei W, et al. Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection. EClinicalMedicine. 2020;21:8. doi: 10.1016/j.eclinm.2020.100331. PMID: 32292899.
  18. Fu LW, Wang BY, Yuan TW, Chen XT, Ao YL, Fitzpatrick 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: 32283155.
  19. Sun PF, Qie SY, Liu ZJ, Ren JZ, Li K, Xi JN. Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis. J Med Virol. 2020;92(6):612-7. doi: 10.1002/jmv.25735. PMID: 32108351.
  20. Dashraath P, Wong JLJ, Lim MXK, Lim LM, Li S, Biswas A, et al. Coronavirus disease 2019 (COVID-19) pandemic and pregnancy. Am J Obstet Gynecol. 2020;222(6):521-31. doi: 10.1016/j.ajog.2020.03.021. PMID: 32217113.
  21. Rasmussen SA, Smulian JC, Lednicky JA, Wen TS, Jamieson DJ. Coronavirus Disease 2019 (COVID-19) and pregnancy: what obstetricians need to know. Am J Obstet Gynecol. 2020;222(5):415-26. doi: 10.1016/j.ajog.2020.02.017. PMID: 32105680.
  22. Zali A, Gholamzadeh S, Mohammadi G, Looha MA, Akrami F, Zarean E, et al. Baseline Characteristics and Associated Factors of Mortality in COVID-19 Patients; an Analysis of 16000 Cases in Tehran, Iran. Arch Acad Emerg Med. 2020;8(1):12. doi. PMID: 33134966.
  23. Ssentongo P, Ssentongo AE, Heilbrunn ES, Ba DM, Chinchilli VM. Association of cardiovascular disease and 10 other pre-existing comorbidities with COVID-19 mortality: A systematic review and meta-analysis. PLoS One. 2020;15(8):16. doi: 10.1371/journal.pone.0238215. PMID: 32845926.
  24. van Westen-Lagerweij NA, Meijer E, Meeuwsen EG, Chavannes NH, Willemsen MC, Croes EA. Are smokers protected against SARS-CoV-2 infection (COVID-19)? The origins of the myth. npj Prim Care Respir Med. 2021;31(1):3. doi: 10.1038/s41533-021-00223-1. PMID: 33637750.
  25. Liu W, Tao ZW, Wang L, Yuan ML, Liu K, Zhou L, et al. Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease. Chin Med J. 2020;133(9):1032-8. doi: 10.1097/cm9.0000000000000775. PMID: 32118640.
  26. Vardavas CI, Nikitara K. COVID-19 and smoking: A systematic review of the evidence. Tob Induc Dis. 2020;18:4. doi: 10.18332/tid/119324. PMID: 32206052.
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