Selected article for: "risk factor and statistical software"

Author: Hariyanto, Timotius Ivan; Kurniawan, Andree
Title: Dyslipidemia is associated with severe coronavirus disease 2019 (COVID-19) infection
  • Cord-id: 59e4sifb
  • Document date: 2020_8_1
  • ID: 59e4sifb
    Snippet: BACKGROUND AND AIMS: The number of positive and death cases from coronavirus disease 2019 (COVID-19) is still increasing. The identification of risk factors for severe outcomes is important. Dyslipidemia has been shown as a long-known risk factor for cardiovascular disease. The aim of this study is to analyze the potential association between dyslipidemia and the severity of COVID-19 infection. METHODS: We systematically searched the PubMed database using specific keywords related to our aims un
    Document: BACKGROUND AND AIMS: The number of positive and death cases from coronavirus disease 2019 (COVID-19) is still increasing. The identification of risk factors for severe outcomes is important. Dyslipidemia has been shown as a long-known risk factor for cardiovascular disease. The aim of this study is to analyze the potential association between dyslipidemia and the severity of COVID-19 infection. METHODS: We systematically searched the PubMed database using specific keywords related to our aims until July 9th, 2020. All articles published on COVID-19 and dyslipidemia were retrieved. Statistical analysis was done using Review Manager 5.4 software. RESULTS: A total of 7 studies with a total of 6922 patients were included in our analysis. Our meta-analysis showed that dyslipidemia is associated with severe COVID-19 infections [RR 1.39 (95% CI 1.03–1.87), p = 0.03, I(2) = 57%, random-effect modelling]. CONCLUSION: Dyslipidemia increases the risk of the development of severe outcomes from COVID-19 infections. Patients with dyslipidemia should be monitored closely to minimize the risk of COVID-19.

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