Association of smoking and cardiovascular disease with disease progression in COVID-19: A systematic review and meta-analysis.
Ontology highlight
ABSTRACT:
SUBMITTER: Kang S
PROVIDER: S-EPMC8220032 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Publications
Association of smoking and cardiovascular disease with disease progression in COVID-19: A systematic review and meta-analysis.
Kang Shiwei S Gong Xiaowei X Yuan Yadong Y
Epidemiology and infection 20210512
Similar Datasets
Project description:To determine the association between subjective social status (SSS), or the individual's perception of his or her position in the social hierarchy, and the odds of coronary artery disease (CAD), hypertension, diabetes, obesity and dyslipidaemia.Systematic review and meta-analysis.We searched PubMed, MEDLINE, EMBASE, CINAHL, PsycINFO, SocINDEX, Web of Science and reference lists of all included studies up to October 2014, with a verification search in July 2015. Inclusion criteria were original studies in adults that reported odds, risk or hazard ratios of at least one outcome of interest (CAD, hypertension, diabetes, obesity or dyslipidaemia), comparing 'lower' versus 'higher' SSS groups, where SSS is measured on a self-anchoring ladder. ORs were pooled using a random-effects model.10 studies were included in the systematic review; 9 of these were included in the meta-analysis. In analyses unadjusted for objective socioeconomic status (SES) measures such as income, education or occupation, the pooled OR comparing the bottom versus the top of the SSS ladder was 1.82 (95% CI 1.10 to 2.99) for CAD, 1.88 (95% CI 1.27 to 2.79) for hypertension, 1.90 (95% CI 1.25 to 2.87) for diabetes, 3.68 (95% CI 2.03 to 6.64) for dyslipidaemia and 1.57 (95% CI 0.95 to 2.59) for obesity. These associations were attenuated when adjusting for objective SES measures, with the only statistically significant association remaining for dyslipidaemia (OR 2.10, 95% CI 1.09 to 4.06), though all ORs remained greater than 1.Lower SSS is associated with significantly increased odds of CAD, hypertension, diabetes and dyslipidaemia, with a trend towards increased odds of obesity. These trends are consistently present, though the effects attenuated when adjusting for SES, suggesting that perception of one's own status on a social hierarchy has health effects above and beyond one's actual income, occupation and education.
| S-EPMC4800117 | biostudies-other
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.
| S-EPMC7449476 | biostudies-literature
Project description:In order to identify differentially abundant proteins, human plasma samples from COVID-19 patients with either a mild or moderate (MM) or a critical or severe (CS) disease course from acute phase of infection were analyzed on antibody microarrays 998 different proteins by 1,425 antibodies.
2023-03-15 | E-MTAB-12777 | biostudies-arrayexpress
Project description:In order to identify differentially abundant proteins, human plasma samples from COVID-19 patients with either a mild or moderate (MM) or a critical or severe (CS) disease course from the acute phases of infection were analyzed on antibody microarrays targeting 351 different proteins by 517 antibodies.
2023-04-11 | E-MTAB-12779 | biostudies-arrayexpress
Project description:BackgroundHigh rate of cardiovascular disease (CVD) have been reported among patients with novel coronavirus disease (COVID-19). Meanwhile there were controversies among different studies about CVD burden in COVID-19 patients. Hence, we aimed to study CVD burden among COVID-19 patients, using a systematic review and meta-analysis.MethodsWe have systematically searched databases including PubMed, Embase, Cochrane Library, Scopus, Web of Science as well as medRxiv pre-print database. Hand searched was also conducted in journal websites and Google Scholar. Meta-analyses were carried out for Odds Ratio (OR) of mortality and Intensive Care Unit (ICU) admission for different CVDs. We have also performed a descriptive meta-analysis on different CVDs.ResultsFifty-six studies entered into meta-analysis for ICU admission and mortality outcome and 198 papers for descriptive outcomes, including 159,698 COVID-19 patients. Results of meta-analysis indicated that acute cardiac injury, (OR: 13.29, 95% CI 7.35-24.03), hypertension (OR: 2.60, 95% CI 2.11-3.19), heart Failure (OR: 6.72, 95% CI 3.34-13.52), arrhythmia (OR: 2.75, 95% CI 1.43-5.25), coronary artery disease (OR: 3.78, 95% CI 2.42-5.90), and cardiovascular disease (OR: 2.61, 95% CI 1.89-3.62) were significantly associated with mortality. Arrhythmia (OR: 7.03, 95% CI 2.79-17.69), acute cardiac injury (OR: 15.58, 95% CI 5.15-47.12), coronary heart disease (OR: 2.61, 95% CI 1.09-6.26), cardiovascular disease (OR: 3.11, 95% CI 1.59-6.09), and hypertension (OR: 1.95, 95% CI 1.41-2.68) were also significantly associated with ICU admission in COVID-19 patients.ConclusionFindings of this study revealed a high burden of CVDs among COVID-19 patients, which was significantly associated with mortality and ICU admission. Proper management of CVD patients with COVID-19 and monitoring COVID-19 patients for acute cardiac conditions is highly recommended to prevent mortality and critical situations.
| S-EPMC7561581 | biostudies-literature
Project description: Not available
| S-EPMC7832225 | biostudies-literature
Project description:ObjectivesThis article evaluates if ethnicity is an independent poor prognostic factor in COVID-19 disease.MethodsMEDLINE, EMBASE, Cochrane, WHO COVID-19 databases from inception to 15/06/2020 and medRxiv. No language restriction. Newcastle-Ottawa Scale (NOS) and GRADE framework were utilised to assess the risk of bias and certainty of evidence. PROSPERO CRD42020188421.ResultsSeventy-two articles (59 cohort studies with 17,950,989 participants, 13 ecological studies; 54 US-based, 15 UK-based; 41 peer-reviewed) were included for systematic review and 45 for meta-analyses. Risk of bias was low: median NOS 7 of 9 (interquartile range 6-8). Compared to White ethnicity, unadjusted all-cause mortality was similar in Black (RR: 0.96 [95% CI: 0.83-1.08]) and Asian (RR: 0.99 [0.85-1.16]) but reduced in Hispanic ethnicity (RR: 0.69 [0.57-0.84]). Age- and sex-adjusted risks were significantly elevated for Black (HR: 1.38 [1.09-1.75]) and Asian (HR: 1.42 [1.15-1.75]), but not for Hispanic (RR: 1.14 [0.93-1.40]). Further adjusting for comorbidities attenuated these associations to non-significance: Black (HR: 0.95 [0.72-1.25]); Asian (HR: 1.17 [0.84-1.63]); Hispanic (HR: 0.94 [0.63-1.44]). Subgroup analyses showed a trend towards greater disparity in outcomes for UK ethnic minorities, especially hospitalisation risk.ConclusionsThis review could not confirm a certain ethnicity as an independent poor prognostic factor for COVID-19. Racial disparities in COVID-19 outcomes may be partially attributed to higher comorbidity rates in certain ethnicity.
| S-EPMC7659894 | biostudies-literature
Project description:ObjectiveThe aim of this study was to determine if tobacco use in patients with Covid-19 is associated with a negative disease course and adverse outcome, and if smoking, current and past, is associated with a greater possibility of developing COVID-19.Material and methodsA systematic review (SR) and meta-analysis (MA) of previously published works were performed. The search strategy included all known descriptors for Covid-19 and tobacco and was conducted in different databases. Appropriate statistical models were used to address the effect size in meta-analysis, namely random effects and fixed effects model.ResultsThirty-four articles were identified in the SR of which 19 were included in the MA. Being a smoker or former smoker was shown to be a risk factor for worse progression of Covid-19 infection (OR 1.96, 95% CI, 1.36 - 2.83) and a greater probability of presenting a more critical condition (OR 1.79 95% CI, 1.19 - 2.70). As limitations of the MA, we found that most of the studies analyzed were observational with limited publication bias. Two studies that disagreed with the rest were included, although after withdrawing them from the MA, smoking was maintained as a risk factor for worse progress.ConclusionCurrent and past smoking produces a more serious clinical form of Covid-19 and more frequently leads to intensive care admission, intubation, and death.
| S-EPMC7381922 | biostudies-literature
Project description:IntroductionSmoking depresses pulmonary immune function and is a risk factor contracting other infectious diseases and more serious outcomes among people who become infected. This paper presents a meta-analysis of the association between smoking and progression of the infectious disease COVID-19.MethodsPubMed was searched on April 28, 2020, with search terms "smoking", "smoker*", "characteristics", "risk factors", "outcomes", and "COVID-19", "COVID", "coronavirus", "sar cov-2", "sar cov 2". Studies reporting smoking behavior of COVID-19 patients and progression of disease were selected for the final analysis. The study outcome was progression of COVID-19 among people who already had the disease. A random effects meta-analysis was applied.ResultsWe identified 19 peer-reviewed papers with a total of 11,590 COVID-19 patients, 2,133 (18.4%) with severe disease and 731 (6.3%) with a history of smoking. A total of 218 patients with a history of smoking (29.8%) experienced disease progression, compared with 17.6% of non-smoking patients. The meta-analysis showed a significant association between smoking and progression of COVID-19 (OR 1.91, 95% confidence interval [CI] 1.42-2.59, p = 0.001). Limitations in the 19 papers suggest that the actual risk of smoking may be higher.ConclusionsSmoking is a risk factor for progression of COVID-19, with smokers having higher odds of COVID-19 progression than never smokers.ImplicationsPhysicians and public health professionals should collect data on smoking as part of clinical management and add smoking cessation to the list of practices to blunt the COVID-19 pandemic.
| S-EPMC7239135 | biostudies-literature
Project description:We compared circulating miRNA profiles of hospitalized COVID-positive patients (n = 104, 27 with ARDS) and age and gender matched healthy controls (n = 18) to identify miRNA signatures associated with COVID and COVID-induced ARDS. Meta-analysis incorporating data from published studies and our data was performed to identify a set of differentially expressed miRNAs in 1) COVID-positive patients versus healthy controls as well as 2) severe (ARDS+) COVID vs moderate COVID. Gene ontology enrichment analysis of the genes these miRNAs interact with identified terms associated with immune response, such as interferon and interleukin signaling, as well as viral genome activities associated with COVID disease and severity. Additionally, we observed downregulation of a cluster of miRNAs located on chromosome 14 (14q32) among all COVID patients. To predict COVID disease and severity, we developed machine learning models that achieved AUC scores between 0.88–0.93 for predicting disease, and between 0.62–0.81 for predicting severity, even across diverse studies with different sample types (plasma versus serum), collection methods, and library preparations. Our findings provide network and top miRNA feature insights into COVID disease progression and contribute to the development of tools for disease prognosis and management.
2023-12-13 | GSE240888 | GEO