Selected article for: "admission fever and logistic regression"
Author: Leulseged, Tigist Workneh; Maru, Endalkachew Hailu; Hassen, Ishmael Shemsedin; Zewde, Wuletaw Chane; Chamiso, Negat Woldehawariat; Abebe, Daniel Simeneh; Jagema, Tariku Bahiru; Banegyisa, Abdi Bekele; Gezahegn, Mesfin Abebe; Tefera, Oli Seyoum; Shiferaw, Wondmagegn Genaneh; Admasu, Teketel Tilahun
Title: Predictors of death in severe COVID-19 patients at millennium COVID-19 care center in Ethiopia: a case-control study
  • Cord-id: mflkfbjp
  • Document date: 2021_4_12
    • ID: mflkfbjp
    Snippet: INTRODUCTION: as the number of new cases and death due to COVID-19 is increasing, understanding the characteristics of severe COVID-19 patients and identifying characteristics that lead to death is a key to make an informed decision. In Ethiopia, as of September 27(th) 2020, a total of 72,700 cases and 1165 deaths were reported. Therefore, the study aimed to assess the determinants of death in severe COVID-19 patients admitted to millennium COVID-19 care center in Ethiopia. METHODS: a case-contr
    Document: INTRODUCTION: as the number of new cases and death due to COVID-19 is increasing, understanding the characteristics of severe COVID-19 patients and identifying characteristics that lead to death is a key to make an informed decision. In Ethiopia, as of September 27(th) 2020, a total of 72,700 cases and 1165 deaths were reported. Therefore, the study aimed to assess the determinants of death in severe COVID-19 patients admitted to millennium COVID-19 care center in Ethiopia. METHODS: a case-control study of 147 severe COVID-19 patients (49 deaths and 98 discharged alive cases) was conducted from August to September 2020. A comparison of underlying characteristics between cases (death) and controls (alive) was assessed using a chi-square test and an independent t-test with a p-value of <0.05 considered as having a statistically significant difference. Multivariable binary logistic regression was used to identify predictors of severe COVID-19 outcome (alive vs death) where adjusted odds ratio (AOR), 95% confidence interval (CIs) for AOR, and P-values were used for testing significance and interpretation of results. RESULTS: having diabetes mellitus (AOR= 3.257, 95%CI=1.348,7.867, p-value <0.001), fever (AOR=0.328, 95%CI= 0.123,0.878, p-value=0.027) and shortness of breath (AOR=4.034, 95%CI=1.481,10.988, p-value=0.006) were found to be significant predictors of death in severe COVID-19 patients. CONCLUSION: the outcome of death in severe COVID-19 patients is found to be associated with exposures to being diabetic and having shortness of breath at admission. On the other hand, having a fever at admission was associated with a favorable outcome of being discharged alive.

    Search related documents:
    Co phrase search for related documents
    • acute organ failure and liver function: 1, 2, 3
    • acute organ failure and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • acute organ failure and lung disease: 1, 2, 3, 4, 5, 6, 7, 8
    • acute organ failure and lung function: 1, 2
    • admission diastolic and logistic regression: 1, 2, 3
    • admission diastolic blood pressure and logistic regression: 1, 2
    • admission fever and liver function: 1, 2, 3, 4, 5, 6
    • admission fever and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22
    • admission fever and lung disease: 1, 2, 3, 4, 5, 6, 7, 8
    • admission start and liver function: 1, 2, 3, 4
    • admission start and logistic regression: 1, 2, 3
    • liver function and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • liver function and low hemoglobin: 1
    • liver function and lung disease: 1, 2, 3, 4, 5, 6, 7
    • logistic regression and low hemoglobin: 1, 2, 3, 4
    • logistic regression and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • low hemoglobin and lung disease: 1