COVID-19 Outcomes Amongst Patients With Pre-existing Cardiovascular Disease and Hypertension
| Autor: | Jagmeet P. Singh, Harmandeep Singh, Asim Kichloo, Komal Lakhani, Nirmaljot Kaur, Preeti Malik, Jigisha Rakholiya, Raja Chandra Chakinala, Chail Shah, Payu Raval, Urvish K Patel, Salma Yousuf, Toochukwu L Okafor, Mehwish Martin, Angelina Yogarajah, Chika Nwodika |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
invasive mechanical ventilation
medicine.medical_specialty hypertension Pulmonology medicine.medical_treatment Cardiology Infectious Disease Disease 030204 cardiovascular system & hematology systematic review and meta-analysis 03 medical and health sciences 0302 clinical medicine cardiovascular disease Internal medicine Epidemiology medicine Forest plot risk factors atrial fibrillation cardiovascular diseases Risk factor Mechanical ventilation business.industry General Engineering Atrial fibrillation Odds ratio medicine.disease sars-cov-2 novel coronavirus disease 2019 2019-ncov Observational study business 030217 neurology & neurosurgery coronavirus disease 2019 (covid-19) |
| Zdroj: | Cureus |
| ISSN: | 2168-8184 |
| Popis: | Introduction Coronavirus disease 2019 (COVID-19) has multiorgan involvement and its severity varies with the presence of pre-existing risk factors like cardiovascular disease (CVD) and hypertension (HTN). Therefore, it is important to evaluate their effect on outcomes of COVID-19 patients. The objective of this meta-analysis and meta-regression is to evaluate outcomes of COVID-19 amongst patients with CVD and HTN. Methods English full-text observational studies having data on epidemiological characteristics of patients with COVID-19 were identified searching PubMed from December 1, 2019, to July 31, 2020, following Meta-analysis Of Observational Studies in Epidemiology (MOOSE) protocol. Studies having pre-existing CVD and HTN data that described outcomes including mortality and invasive mechanical ventilation (IMV) utilization were selected. Using random-effects models, risk of composite poor outcomes (meta-analysis) and isolated mortality and IMV utilization (meta-regression) were evaluated. Pooled prevalence of CVD and HTN, correlation coefficient (r) and odds ratio (OR) were estimated. The forest plots and correlation plots were created using random-effects models. Results Out of 29 studies (n=27,950) that met the criteria, 28 and 27 studies had data on CVD and HTN, respectively. Pooled prevalence of CVD was 18.2% and HTN was 32.7%. In meta-analysis, CVD (OR: 3.36; 95% CI: 2.29-4.94) and HTN (OR: 1.94; 95% CI: 1.57-2.40) were associated with composite poor outcome. In age-adjusted meta-regression, pre-existing CVD was having significantly higher correlation of IMV utilization (r: 0.28; OR: 1.3; 95% CI: 1.1-1.6) without having any association with mortality (r: -0.01; OR: 0.9; 95% CI: 0.9-1.1) among COVID-19 hospitalizations. HTN was neither correlated with higher IMV utilization (r: 0.01; OR: 1.0; 95% CI: 0.9-1.1) nor correlated with higher mortality (r: 0.001; OR: 1.0; 95% CI: 0.9-1.1). Conclusion In age-adjusted analysis, though we identified pre-existing CVD as a risk factor for higher utilization of mechanical ventilation, pre-existing CVD and HTN had no independent role in increasing mortality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|