Dataset Information

Associations of pre-existing cardiovascular morbidity with severity and the fatality rate in COVID-19 patients: a systematic review and meta-analysis.

ABSTRACT:

Objectives

The aim of this study was to evaluate the association of pre-existing cardiovascular comorbidities, including hypertension and coronary heart disease, with coronavirus disease 2019 (COVID-19) severity and mortality.

Methods

PubMed, ScienceDirect, and Scopus were searched between January 1, 2020, and July 18, 2020, to identify eligible studies. Random-effect models were used to estimate the pooled event rates of pre-existing cardiovascular disease comorbidities and odds ratio (OR) with 95% confidence intervals (95% CIs) of disease severity and mortality associated with the exposures of interest.

Results

A total of 34 studies involving 19,156 patients with COVID-19 infection met the inclusion criteria. The prevalence of pre-existing cardiovascular disease in the included studies was 14.0%. Pre-existing cardiovascular disease in COVID-19 patients was associated with severe outcomes (OR, 4.1; 95% CI, 2.9 to 5.7) and mortality (OR, 6.1; 95% CI, 2.9 to 12.7). Hypertension and coronary heart disease increased the risk of severe outcomes by 2.6 times (OR, 2.6; 95% CI, 1.9 to 3.6) and 2.5 times (OR, 2.5; 95% CI, 1.7 to 3.8), respectively. No significant publication bias was indicated.

Conclusion

COVID-19 patients with pre-existing cardiovascular comorbidities have a higher risk of severe outcomes and mortality. Awareness of pre-existing cardiovascular comorbidity is important for the early management of COVID-19.

SUBMITTER: Alzoughool F

PROVIDER: S-EPMC8907611 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Associations of pre-existing cardiovascular morbidity with severity and the fatality rate in COVID-19 patients: a systematic review and meta-analysis.

Alzoughool Foad F Abumweis Suhad S Alanagreh Lo'ai L Atoum Manar M

Osong public health and research perspectives 20220218 1

<h4>Objectives</h4>The aim of this study was to evaluate the association of pre-existing cardiovascular comorbidities, including hypertension and coronary heart disease, with coronavirus disease 2019 (COVID-19) severity and mortality.<h4>Methods</h4>PubMed, ScienceDirect, and Scopus were searched between January 1, 2020, and July 18, 2020, to identify eligible studies. Random-effect models were used to estimate the pooled event rates of pre-existing cardiovascular disease comorbidities and odds ...[more]

PMID: 35255677

Similar Datasets

Project description:BackgroundEstimating the risk of pre-existing comorbidities on coronavirus disease 2019 (COVID-19) mortality may promote the importance of targeting populations at risk to improve survival. This systematic review and meta-analysis aimed to estimate the association of pre-existing comorbidities with COVID-19 mortality.MethodsWe searched MEDLINE, SCOPUS, OVID, and Cochrane Library databases, and medrxiv.org from December 1st, 2019, to July 9th, 2020. The outcome of interest was the risk of COVID-19 mortality in patients with and without pre-existing comorbidities. We analyzed 11 comorbidities: cardiovascular diseases, hypertension, diabetes, congestive heart failure, cerebrovascular disease, chronic kidney disease, chronic liver disease, cancer, chronic obstructive pulmonary disease, asthma, and HIV/AIDS. Two reviewers independently extracted data and assessed the risk of bias. All analyses were performed using random-effects models and heterogeneity was quantified.ResultsEleven pre-existing comorbidities from 25 studies were included in the meta-analysis (n = 65, 484 patients with COVID-19; mean age; 61 years; 57% male). Overall, the between-study heterogeneity was medium, and studies had low publication bias and high quality. Cardiovascular disease (risk ratio (RR) 2.25, 95% CI = 1.60-3.17, number of studies (n) = 14), hypertension (1.82 [1.43 to 2.32], n = 13), diabetes (1.48 [1.02 to 2.15], n = 16), congestive heart failure (2.03 [1.28 to 3.21], n = 3), chronic kidney disease (3.25 [1.13 to 9.28)], n = 9) and cancer (1.47 [1.01 to 2.14), n = 10) were associated with a significantly greater risk of mortality from COVID-19.ConclusionsPatients with COVID-19 with cardiovascular disease, hypertension, diabetes, congestive heart failure, chronic kidney disease and cancer have a greater risk of mortality compared to patients with COVID-19 without these comorbidities. Tailored infection prevention and treatment strategies targeting this high-risk population might improve survival.

Project description:Multi-morbidity is common among older adults; however, for many aging-related diseases there is no information for U.S. elderly population on how earlier-manifested disease affects the risk of another disease manifested later during patient's lifetime. Quantitative evaluation of risks of cancer and non-cancer diseases for older adults with pre-existing conditions is performed using the Surveillance, Epidemiology, and End Results (SEER) Registry data linked to the Medicare Files of Service Use (MFSU). Using the SEER-Medicare data containing individual records for 2,154,598 individuals, we empirically evaluated age patterns of incidence of age-associated diseases diagnosed after the onset of earlier manifested disease and compared these patterns with those in general population. Individual medical histories were reconstructed using information on diagnoses coded in MFSU, dates of medical services/procedures, and Medicare enrollment/disenrollment. More than threefold increase of subsequent diseases risk was observed for 15 disease pairs, majority of them were i) diseases of the same organ and/or system (e.g., Parkinson disease for patients with Alzheimer disease, HR=3.77, kidney cancer for patients with renal failure, HR=3.28) or ii) disease pairs with primary diseases being fast-progressive cancers (i.e., lung, kidney, and pancreas), e.g., ulcer (HR=4.68) and melanoma (HR=4.15) for patients with pancreatic cancer. Lower risk of subsequent disease was registered for 20 disease pairs, mostly among patients with Alzheimer's or Parkinson's disease, e.g., decreased lung cancer risk among patients with Alzheimer's (HR=0.64) and Parkinson's (HR=0.60) disease. Synergistic and antagonistic dependences in geriatric disease risks were observed among US elderly confirming known and detecting new associations of wide spectrum of age-associated diseases. The results can be used in optimization of screening, prevention and treatment strategies of chronic diseases among U.S. elderly population.

Project description:ObjectiveTo identify the associations of in-hospital cardiovascular events and mortality with pre-existing comorbidities and cardiovascular disease (CVD) risk factors among COVID-19 patients in Bangladesh without vaccine availability.DesignA secondary analysis of a prospective multicountry study.SettingThree COVID-19-designated hospitals in Bangladesh.ParticipantsAdult patients aged ≥18 years with PCR-positive COVID-19 admitted between 10 October 2020 and 31 July 2021 at participating hospitals.Outcome measuresIn-hospital cardiovascular events and mortality.Main exposuresPre-existing comorbidities and cardiovascular risk factors.ResultsIn 897 COVID-19 patients, 18.7% developed cardiovascular events and 12.6% died. After adjusting for clinical information and treatment, patients with two comorbidities (excluding CVD risk factors) were significantly associated with cardiovascular events (adjusted (adj.) OR 2.47, 95% CI 1.24 to 4.90). Patients with a higher heart rate at admission (adj. OR 1.03, 95% CI 1.01 to 1.04) and those who were receiving intravenous fluids (adj. OR 2.13, 95% CI 1.23 to 3.70) or antibiotics (adj. OR 4.54, 95% CI 1.47 to 14.01) had significantly higher odds of cardiovascular events. The odds of cardiovascular events were lower in those receiving antiviral medications (adj. OR 0.31, 95% CI 0.18 to 0.53). There were no interactions between comorbidities and other covariates in the models. Comorbidities and cardiovascular risk factors were not significantly associated with 30-day mortality in the Cox regression models after adjusting with clinical information and treatment. The mortality within 30 days of admission was significantly higher in patients receiving corticosteroids (adj. HR 2.82, 95% CI 1.48 to 5.38) and lower in those receiving antiviral treatment (adj. HR 0.53, 95% CI 0.34 to 0.81). Those having cardiovascular events significantly increased mortality hazard.ConclusionsClinical factors and treatment affected in-hospital cardiovascular events, which subsequently increased the risk of mortality within 30 days for COVID-19 patients. COVID-19 patients regardless of CVD risk factors and comorbidities require close monitoring for cardiovascular events.

Dataset Information

Associations of pre-existing cardiovascular morbidity with severity and the fatality rate in COVID-19 patients: a systematic review and meta-analysis.

Objectives

Methods

Results

Conclusion

Publications

Associations of pre-existing cardiovascular morbidity with severity and the fatality rate in COVID-19 patients: a systematic review and meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets