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Kitai, Takeshi

0000-0003-2416-5865

Mayo Clinic

Kobe City Medical Center General Hospital

Citations 3

Is caffeine or coffee consumption a risk for new-onset atrial fibrillation? A systematic review and meta-analysis
Krittanawong, Chayakrit , Tunhasiriwet, Anusith, Chirapongsathorn, Sakkarin , Zhang, HongJu, Mehta, Davendra, Farrell, Ann M, Wang, Zhen , Farrell, Ann , Kitai, Takeshi

European Journal of Preventive Cardiology | March 18, 2020 | Volume: 28 | Issue: 12 | Pages: e13-e15

10.1177/2047487320908385 Get It

Association between short and long sleep durations and cardiovascular outcomes: a systematic review and meta-analysis
Krittanawong, Chayakrit , Tunhasiriwet, Anusith, Zhang, Hongju, Sun, Tao , Argulian, Edgar , Farrell, Ann M, Chirapongsathorn, Sakkarin , Wang, Zhen , Farrell, Ann , Kitai, Takeshi

European Heart Journal: Acute Cardiovascular Care | December 5, 2017 | Volume: 8 | Issue: 8 | Pages: 762-770

10.1177/2048872617741733 Get It

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.
Tweeting influenza vaccine to cardiovascular health community
Krittanawong, Chayakrit , Tunhasiriwet, Anusith, Chirapongsathorn, Sakkarin , Kitai, Takeshi

European Journal of Cardiovascular Nursing | April 25, 2017 | Volume: 16 | Issue: 8 | Pages: 704-706

10.1177/1474515117707867 Get It

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.