Surveys (NHANES) from 2005 to 2016. The prevalence of CVD among smokers was ascertained from the prevalence of four constituent conditions -congestive heart failure, coronary heart disease, angina pectoris, and heart attack. The predictors of CVD among smokers were investigated using multivariate survey logistic regression models. Results: 7,063 participants with mean age of 42.8 years who were current smokers and responded to the CVD questionnaire were considered in this analysis. The prevalence of CVD increased from 6.0% to 9.6% through the period from 2005 to 2016. Most significant increase in prevalence was seen in patients with respiratory diseases (from 10.8% to 19.2%), in obese patients (from 9.8% to 12.5%), and in binge drinkers (from 3.1% to 6.3%). The prevalence of CVD has also increased in the population with higher income (from 3.4% to 6.7%), and other than non-Hispanic whites (from 6.2% to 10.9%). The likelihood of CVD was higher among the elderly ($60years) (OR=5.07, CI=3.81-6.76), males (OR=1.35, CI=1.04-1.76), and respondents with ,400%-FPL (OR=1.84, CI=1.18-2.88). The likelihood of CVD was also higher among patients ailing with respiratory diseases (OR=3.39, CI=2.70-4.27), with diabetes (OR=2.84, CI=2.11-3.81), and with obesity (OR=1.54, CI=1.23-1.94). The proportion of patients suffering with one CVD disorder only who used a CV drug rose from 73% to 83% over the study period. Conclusions: The increase in prevalence of CVD among, both at an overall level and in certain subpopulations will be of concern to policy makers and clinical practitioners alike.
To assess differences in ADL at admission and discharge for stroke patients with pre-onset modified rankin scale 0-1 (pre-mRS 0-1) depending on stroke onset time using Diagnosis Procedure Combination database in Japan. METHODS: Diagnosis Procedure Combination database by Japan Medical Data Center Co., Ltd. was used. We identified stroke patients with pre-mRS 0-1 who were admitted to the hospital from October 2016 to December 2017. We then assessed ADL scores (meal, transfer, grooming, toilet, bathing, walking, staircase, changing clothes, Bowel management, Urination management) at the time of admission and discharge by stroke onset time (Within 3 days from the onset, after 4 days from the onset). RESULTS: 5,350 patients were identified after excluding 321 death cases during the hospitalization. Mean age was 71.6 years and 58.7% were men. There were 4,037 patients within 3 days from the stroke onset, and 914 patients after 4 days from the stroke onset. Among 10 ADL scores, bathing, grooming and staircase were the top 3 of the highest proportion of patents who need a total assistance at admission. In the patients within 3 days from the stroke onset, the changes of these proportion from at admission to discharge were 69.8% to 44.2%, 60.6% to 32.9% and 59.2% to 30.9% respectively, while 61.7% to 43.0%, 46.4% to 29.0% and 46.1% to 26.4% respectively in the patients after 4 days from the stroke onset. CONCLUSIONS: Decreasing trend was observed in the proportion of patients who need to a total assistance for all ADL scores from at admission to discharge. This trend was same among stroke onset times, however these proportions at both admission and discharge were higher in the patients after 4 days from the onset.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.