METHODS: We conducted a prospective study of consecutive patients with acute stroke who were admitted to 36 participating hospitals in China, India, Indonesia, Korea, Malaysia, the Philippines, Singapore, Taiwan, Thailand, and Vietnam. With the use of a simple identical data sheet, we recorded the demographics and cardiovascular risk factors of each patient. Early death was defined as death on discharge from the acute hospital.
RESULTS: We enrolled 2403 patients with ischemic stroke and 783 patients with intracerebral hemorrhage. Among patients with ischemic stroke, previous use of antiplatelet drugs (adjusted odds ratio [OR] 0.53; 95% confidence interval [CI] 0. 30 to 0.95) and relatively young age group 56 to 75 years (OR 0.65; 95% CI 0.42 to 1.00) were protective factors; atrial fibrillation (OR 2.23; 95% CI 1.40 to 3.57), ischemic heart disease (OR 2.03; 95% CI 1.37 to 3.05), diabetes (OR 1.52; 95% CI 1.04 to 2.22), and ex-smoker status (OR 2.18; 95% CI 1.18 to 4.05) were risk factors for early death. Among patients with intracerebral hemorrhage, hypertension (OR 0.56; 95% CI 0.38 to 0.82) and young age group 56 to 75 years old (OR 0.55; 95% CI 0.34 to 0.87) were associated with lower death rate, whereas diabetes (OR 1.74; 95% CI 1.01 to 2.98) was a risk factor for early death.
CONCLUSIONS: In Asian patients with stroke, previous use of antiplatelet drugs nearly halved the risk of early death in patients with ischemic stroke, whereas atrial fibrillation, ischemic heart disease, diabetes, and ex-smoker status were risk factors for early death. Among patients with intracerebral hemorrhage, diabetes was associated with early death, whereas young age group and hypertension were associated with lower death rates, though no clear explanation for the hypertension association could be discerned from the data available.
Methods: In this cross-sectional study with retrospective record review, 403 established gouty arthritis patients were recruited to determine the incidence of UGIB and associated factors among gout patients who were on regular nonsteroidal anti-inflammatory drugs (NSAIDs).
Results: The mean age of the 403 gouty arthritis patients was 55.7 years old and the majority (n = 359/403; 89.1%) were male. The incidence of UGIB among gouty arthritis patients who were on NSAIDs was 7.2% (n = 29/403). Older age (p < 0.001), diclofenac medication (p = 0.003), pantoprazole medication (p = 0.003), end-stage renal failure (ESRF) (p = 0.007), smoking (p = 0.035), hypertension (p = 0.042) and creatinine (p = 0.045) were significant risk factors for UGIB among the gouty arthritis patients in univariable analysis. Older age (p = 0.001) and diclofenac medication (p < 0.001) remained significant risk factors for UGIB among the gouty arthritis patients in multivariable analysis.
Conclusions: Age and diclofenac were significantly associated with UGIB among patients with gouty arthritis on regular NSAIDs, indicating that these factors increased the risks of developing UGIB in gout patients. Hence, these high-risk groups of gouty arthritis patients should be routinely monitored to avoid the potential onset of UGIB. Our data also suggest that diclofenac should be prescribed for the shortest duration possible to minimize the risk of developing UGIB in gout patients.
OBJECTIVE: We sought to synthesise existing literature on the predictors and processes informing attitudes and beliefs of smoking health professionals' own cessation.
METHODS: A five-step methodological framework for scoping reviews was followed. We conducted a systematic search of EMBASE, PubMed, Web of Science, and PsycINFO databases, as well as Google Scholar for relevant articles. Titles, abstracts, and full texts were screened against predefined criteria: research published between 1990 and 2021, in English-language peer-reviewed journals; participants included doctors, nurses, medical, and student nurses who smoke.
RESULTS: The initial search yielded 120, 883 articles, with 27 selected for synthesis. Prevalence estimates and predictors of smoking behaviour have remained the primary focus of smoking health professional research. Few studies explicitly examined the relevant predictors of quit attempts and quit attempt success. There is evidence that age and work environment factors predict quit attempt success in some health professional groups. There is also some evidence of tobacco smoking stigma experiences among nurses and nursing students who smoke.
CONCLUSION: Although cessation support is desperately needed for health professionals who smoke, the evidence for factors predicting quit success remains limited. To better guide future research, first, more theoretical work is required to identify the relevant predictors. Second, these should be tested using prospective research designs that take a multi-focal perspective to clarify the targets for change.
Methods: This school-based, non-randomised controlled study was conducted among secondary school students with a total of 236 respondents. The KAPS score were assessed before and 1 month after using self-administered validated KAPS questionnaire on TB. Analysis was done using repeated measures ANOVA.
Results: The mean percentage score (SD) for baseline knowledge, attitude, practice and stigma score for the respondents were 54.0 (4.48), 65.6 (1.74), 70.0 (1.43) and 66.0 (6.88), respectively. There was a significant difference (P < 0.001) in the knowledge and stigma score for intervention group compared to control group, adjusted for gender, ethnicity and smoking status 4 weeks post-TB educational programme. However, with regards to attitude and practice score, there was no significant difference (P = 0.210 and P = 0.243, respectively).
Conclusion: TB education programme was effective in improving knowledge and stigma related to TB. This health education programme can be used as one of the strategies for the prevention and control of TB in schools.