MATERIALS AND METHODS: This was a retrospective cohort study undertaken at a public tertiary care centre in the state of Perak, Malaysia. Information of obese patients who underwent bariatric surgery was obtained from their medical records. The changes in the BMI, HbA1C, systolic and diastolic blood pressure (SBP and DBP), and lipid levels between three months before and after the surgery were assessed.
RESULTS: The patients (n=106) were mostly Malay (66.0%), had at least one comorbidity (61.3%), and had a mean age of 40.38±11.75 years. Following surgery, the BMI of the patients was found to reduce by 9.78±5.82kg/m2. For the patients who had diabetes (n=24) and hypertension (n=47), their mean HbA1C, SBP and DBP were also shown to reduce significantly by 2.02±2.13%, 17.19±16.97mmHg, and 11.45±12.63mmHg, respectively. Meanwhile, the mean total cholesterol, triglyceride and low-density lipoprotein levels of those who had dyslipidaemia (n=21) were, respectively, lowered by 0.91±1.18mmol/L, 0.69±1.11mmol/L and 0.47±0.52mmol/L.
CONCLUSION: The findings suggest that in addition to weight reduction, bariatric surgery is helpful in improving the diabetes, hypertension and dyslipidaemia control among obese patients. However, a large-scale trial with a control group is required to verify our findings.
METHODS: Using a universal sampling technique, 460 male patients aged 60 and above visiting an urban based public primary care clinic were recruited. An interviewer administered the questionnaire which used International Prostate Symptoms Score and International Consultation on Incontinence Modular Questionnaire-Lower Urinary Tract Symptoms-Quality of Life.
RESULTS: The prevalence of any LUTS and clinically significant LUTS were 89.8% and 20.5%, respectively. Among the 385 participants who completed the study, only 41.8% had consulted a doctor for LUTS. Among those with moderate/severe symptoms only 57.6% had sought medical intervention. Multiple logistic regression analysis showed that the presence of more than two comorbidities (P=0.004; odds ratio [OR], 4.695; 95% confidence interval [CI], 1.632-13.508) and quality of life (P=0.002; OR, 1.271; 95% CI, 1.091-1.481) were independent factors significantly associated with seeking help.
CONCLUSION: Prevalence of LUTS among elderly men undergoing primary care is high, but more than half of the patients had not sought medical attention. Increasing comorbidities and impact on quality of life influenced elderly men with LUTS to seek help.
METHODS: We conducted a cross-sectional study of Malaysian men aged ≥ 18 years attending two major outpatient clinics in Johor Bahru and Segamat in Johor, Malaysia, between 1 January 2016 and 31 March 2016. Subjects were chosen via simple random sampling and 400 patients were recruited. The study instrument was a survey form that consisted of three sections: sociodemographic and comorbid profile, validated English and Malay versions of the 15-item International Index of Erectile Function, and the 21-item Depression Anxiety Stress Scale.
RESULTS: The overall prevalence of self-reported ED was 81.5%. The prevalence of ED according to severity was as follows: mild (17.0%), mild to moderate (23.8%), moderate (11.3%) and severe (29.5%). Multivariate analysis showed that ED was associated with increasing age (odds ratio [OR] 4.023, 95% confidence interval [CI] 1.633-9.913), Indian as compared to Malay ethnicity (OR 3.252, 95% CI 1.280-8.262), secondary as compared to tertiary education (OR 2.171, 95% CI 1.203-3.919), single as compared to married status (OR 6.119, 95% CI 2.542-14.734) and stress (OR 4.259, 95% CI 1.793-10.114).
CONCLUSION: ED has significant prevalence and severity among adult male outpatient clinic attendees in Johor. Increasing age, Indian ethnicity, lower educational level, singlehood and stress were significant predictors of ED.
METHODS: Research questions were formulated focusing on diagnosis and treatment of adult patients with RMD within the context of the pandemic, including the management of RMD in patients who developed COVID-19. MEDLINE was searched for eligible studies to address the questions, and the APLAR COVID-19 task force convened 2 meetings through video conferencing to discuss its findings and integrate best available evidence with expert opinion. Consensus statements were finalized using the modified Delphi process.
RESULTS: Agreement was obtained around key aspects of screening for or diagnosis of COVID-19; management of patients with RMD without confirmed COVID-19; and management of patients with RMD with confirmed COVID-19. The task force achieved consensus on 25 statements covering the potential risk of acquiring COVID-19 in RMD patients, advice on RMD medication adjustment and continuation, the roles of telemedicine and vaccination, and the impact of the pandemic on quality of life and on treatment adherence.
CONCLUSIONS: Available evidence primarily from descriptive research supported new recommendations for aspects of RMD care not covered in the previous document, particularly with regard to risk factors for complicated COVID-19 in RMD patients, modifications to RMD treatment regimens in the context of the pandemic, and COVID-19 vaccination in patients with RMD.
METHODOLOGY: Data for the study, consisting of 2553 older adults aged 60 years and older, were drawn from a nationwide household survey entitled "Determinants of Wellness among Older Malaysians: A Health Promotion Perspective" conducted in 2010.
RESULTS: Current smokers had lower rates of cognitive impairment compared to never smokers (17.4% vs 25.9%), while cognitive function in former or ex-smokers was almost similar to that of the never smokers. Findings from multiple logistic regression analysis showed that current smokers were 37% less likely to be cognitively impaired, compared to the never smokers (odds ratio [OR] = .63; 95% confidence interval [CI]: .46-.86) while controlling for potential confounders. No difference in cognitive function was observed between former smokers and never smokers (OR = .94; 95% CI: .71-1.25).
CONCLUSION: Although the findings indicated a negative association between cigarette smoking and cognitive impairment, we are unable to conclude whether this relationship is causal or affected by other unmeasured confounding factors, especially survival bias.