Anusith Tunhasiriwet

Association between short and long sleep durations and cardiovascular outcomes: a systematic review and meta-analysis

Background: A shorter sleep duration has been identified as a risk factor for cardiovascular diseases and increased mortality. It has been hypothesized that a short sleep duration may be linked to changes in ghrelin and leptin production, leading to an alteration of stress hormone production. Here, we conducted a systematic review and meta-analysis to investigate the potential relationship between a sleep duration and cardiovascular disease mortality. Methods: We conducted a comprehensive search of Ovid Medline In-Process and other non-indexed citations, Ovid MEDLINE, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, and Scopus from database inception to March 2017. Observational studies were included if the studies reported hazard ratios or odds ratios of the associations between sleep durations (short and long) and cardiovascular disease mortality. Data were extracted by a reviewer and then reviewed by two separate reviewers. Conflicts were resolved through consensus. Using the DerSimonian and Laird random effects models, we calculated pooled hazard ratios and pooled odds ratios with 95% confidence intervals (CI). Subgroup analyses were performed to explore potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: In total, our meta-analysis included 19 studies (31 cohorts) with a total of 816,995 individuals with 42,870 cardiovascular disease mortality cases. In pooled analyses, both short (risk ratio 1.19; 95% CI 1.13 to 1.26, P<0.001, I2=30.7, Pheterogeneity=0.034), and long (risk ratio 1.37; 95% CI 1.23 to 1.52, P<0.001, I2=79.75, Pheterogeneity<0.001) sleep durations were associated with a greater risk of cardiovascular disease mortality. Conclusions: Both short (<7 hours) and long sleep durations (>9 hours) can increase the risk of overall cardiovascular disease mortality, particularly in Asian populations and elderly individuals. Future epidemiological studies would ideally include objective sleep measurements, rather than self-report measures, and all potential confounders, such as genetic variants.

Meta-Analysis Comparing Frequency of Overweight Versus Normal Weight in Patients With New-Onset Heart Failure

Association between obesity and new-onset heart failure (HF) has repeatedly been established. Less is known about the risk of overweight with the development of HF. The aim of this systematic review and meta-analysis was to explore the association between overweight, obesity, and the incidence of new-onset HF. In this study, we systematically searched MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials from database inception through June 2017. Studies were included if they reported the association between overweight or obesity and new-onset HF compared with normal weight. DerSimonian and Laird random effect meta-analyses were used, and subgroup analyses were performed to explore the potential sources of heterogeneity. Of 2,184 retrieved articles, we identified 21 relevant studies with a total of 525,656 participants with 18,948 HF cases. Compared with the normal body weight index (body mass index < 25 kg/m2), overweight (body mass index 25 to 29.9 kg/m2) was associated with a 33% higher risk of developing HF (pooled risk ratios 1.33; 95% confidence interval 1.16 to 1.52; p <0.001), with substantial heterogeneity among studies (I2 = 83.6%). In addition, class I, II, and III obesity were stepwise-associated with an increase in the risk of developing HF as 73%, 85% and 189%, respectively (all p <.001) compared with normal weight. In conclusion, compared with healthy normal-weight patients, these results show that both overweight patients were independently associated with a significantly higher incidence of HF. These results highlight the need for a better understanding of the potential mechanisms of overweight and HF.

Is white rice consumption a risk for metabolic and cardiovascular outcomes? A systematic review and meta-analysis

Objective The main objective of this systematic review and meta-analysis was to investigate the association between white rice consumption and risk of metabolic and cardiovascular outcomes. Methods We conducted a comprehensive search of Medline, Embase, Scopus, and the Cochrane Central Register of Controlled Trials from database inception through March 2016. Original studies that reported associations between white rice consumption and cardiovascular outcomes regardless of study design were selected. We extracted study characteristics and outcome data. Conflicts were resolved through consensus. Using the DerSimonian and Laird random effects models, we calculated pooled relative risks with 95% CI. Results Our search identified 721 citations. 18 studies were included with a total of 1 777 059 individuals: 14 348 had type 2 diabetes mellitus (T2DM); 5612 had metabolic syndrome (MetS); 10 839 had coronary heart disease (CHD); and 11 698 had stroke. Compared with the lowest category, the highest category of white rice consumption was only associated with 30% higher risk of MetS (pooled OR 1.30, 95% CI 1.03 to 1.65; p<0.001; I²=65.5%). Conclusions Higher white rice consumption has not been shown to be associated with increased risk of CHD, stroke and T2DM. However, white rice consumption may be associated with increased risk of MetS in certain populations

Tweeting influenza vaccine to cardiovascular health community

Globally, among infectious diseases, influenza is one of the leading causes of morbidity and mortality. Individuals with chronic conditions, including cardiovascular disease and diabetes, are particularly vulnerable to complications of an influenza infection. The European Society of Cardiology recommended annual influenza vaccinations for patients with cardiovascular disease. Numerous studies have suggested a link between influenza and increased risk of cardiovascular events. Despite its proven benefits, little is known about the reason for the underutilization of influenza vaccination. We present the findings of an assessment of patients’ perception of the influenza vaccine and the reason for its underutilization, by data mining from Twitter.

ASSOCIATION OF OVERWEIGHT AND OBESITY WITH AN INCIDENCE OF HEART FAILURE: A SYSTEMATIC REVIEW AND META-ANALYSIS

Obesity is a growing global health problem associated with substantial morbidity and mortality. The risk of obesity on incident new-onset heart failure is controversial. The aim of this systematic review and meta-analysis was to explore the association between overweight, obesity and incident new-