The factors associated with poor outcome such as the presence of comorbid disease (p=0.001), being 50 years and older (p
📌 3 Key Takeaways
🎯
Objective & Hypothesis:Objective: In our study, we aimed to determine the factors associated with poor outcome by evaluating the data of possible/definite Coronavirus 2019 (COVID-19) cases coming to the emergency department in two centers and to establish a risk scoring system.
📊
Key Findings & Data:Methods: This study has been designed as a retrospective study performed on COVID-19 cases.
💡
Conclusion & Impact:The factors associated with poor outcome such as the presence of comorbid disease (p=0.001), being 50 years and older (p
🔬Design:Research Article
📍Scope:2019 Verileri
⚙️Variables:Domain Parameters
Abstract
Objective: In our study, we aimed to determine the factors associated with poor outcome by evaluating the data of possible/definite Coronavirus 2019 (COVID-19) cases coming to the emergency department in two centers and to establish a risk scoring system. Methods: This study has been designed as a retrospective study performed on COVID-19 cases. Patients’ sociodemographic data, complaints, vital signs, laboratory parameters, ser- vice/intensive care admission status, and the presence of death were analyzed. Results: A total of 436 patients were included in the study. We divided the cases into two groups in terms of poor outcome. The factors associated with poor outcome such as the presence of comorbid disease (p=0.001), being 50 years and older (p
🔖
Cite This Article
Özcan, S., Akbaş, İ., Acar, B., Koçak, A. O., Dogruyol, S. (2022). Is It Possible to Have a Risk Scoring System that Provides Early Warning of the Poor Prognosis in COVID-19?. Southern Clinics of Istanbul Eurasia, Cilt: 33 - Sayı: 2, 156–161. https://ajindex.com/articles/592725
Ye Z, Zhang Y, Wang Y, Huang Z, Song B. Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review. Eur Radiol 2020;30:4381–9
Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al; China Novel Coronavirus Investigating and Research Team. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020;382:727–33
Ji D, Zhang D, Xu J, Chen Z, Yang T, Zhao P, et al. Prediction for progression risk in patients with COVID-19 pneumonia: the call score. Clin Infect Dis 2020;71:1393–9
Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical char- acteristics of 138 hospitalized patients with 2019 novel coronavirus- infected pneumonia in Wuhan, China. JAMA 2020;323:1061–9
Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemi- ological and clinical characteristics of 99 cases of 2019 novel coro- navirus pneumonia in Wuhan, China: a descriptive study. Lancet 2020;395:507–13
Epidemiology Working Group for NCIP Epidemic Response, Chinese Center for Disease Control and Prevention. The epidemiological charac- teristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua Liu Xing Bing Xue Za Zhi 2020;41:145–51
Liu K, Chen Y, Lin R, Han K. Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients. J Infect 2020;80:14–8
Jordan RE, Adab P, Cheng KK. Covid-19: risk factors for severe dis- ease and death. BMJ 2020;368:m1198
Sun Y, Koh V, Marimuthu K, Ng TO, Young B, Vasoo S, et al. Epi- demiological and Clinical Predictors of COVID-19. Clin Infect Dis 2020;71:786–92
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;395:1054–62
Republic of Turkey Ministry of Health. Updated COVID-19 Na- tional Guideline of Health Ministry of Turkey. Ankara, Turkey: Republic of Turkey Ministry of Health; 2020
Rivett L, Sridhar S, Sparkes D, Routledge M, Jones NK, Forrest S, et al; CITIID-NIHR COVID-19 BioResource Collaboration. Screening of healthcare workers for SARS-CoV-2 highlights the role of asympto- matic carriage in COVID-19 transmission. Elife 2020;9:e58728
Emami A, Javanmardi F, Pirbonyeh N, Akbari A. Prevalence of un- derlying diseases in hospitalized patients with COVID-19: a system- atic r