OBJECTIVES: This is an audit project aiming to evaluate the proportion of misdiagnosis among hospitalised communityacquired pneumonia (CAP) patients in the Respiratory wards of Penang General Hospital based on their initial presentation data, and their associated outcomes.
METHODS: We reviewed the medical notes and initial chest radiographs of 188 CAP patients who were admitted to respiratory wards. Misdiagnosis was defined as cases which lack suggestive clinical features and/or chest radiograph changes. In-hospital mortality and length of stay (LOS) were the outcomes of interest.
RESULTS: The study found that 38.8% (n=73) of the hospitalised CAP patients were misdiagnosed. The most common alternative diagnosis was upper respiratory tract infection (32.8%, n=24). There was no statistical difference between misdiagnosis and CAP patients in the demographic and clinical variables collected. In terms of outcomes, misdiagnosed patients were discharged earlier (mean LOS= 3.5±3.28 days vs. 7.7±15.29 days, p=0.03) but the in-hospital mortality difference was not statistically significant (p=0.07).
CONCLUSIONS: One third of our CAP admissions were misdiagnosed. Although initial misdiagnosis of CAP in our study did not show any increase in mortality or morbidity, a proper diagnosis of CAP will be helpful in preventing inappropriate prescription of antibiotics and unnecessary admission.
METHODS: We analysed sequential Global Adult Tobacco Survey (GATS) data done at least at five years interval in 10 countries namely India, Bangladesh, China, Mexico, Philippines, Russia, Turkey, Ukraine, Uruguay, and Vietnam. We estimated weighted prevalence rates of smoking behaviors namely current smoking (both daily and non-daily), prevalence of hardcore smoking (HCS) among current smokers (HCSs%) and entire surveyed population (HCSp%), quit ratios (QR), and the number of cigarettes smoked per day (CPD). We calculated absolute and relative (%) change in rates between two surveys in each country. Using aggregate data, we correlated relative change in current smoking prevalence with relative change in HCSs% and HCSp% as well as explored the relationship of MPOWER score with relative change in smoking behaviors using Spearman' rank correlation test.
RESULTS: Overall daily smoking has declined in all ten countries lead by a 23% decline in Russia. In India, Bangladesh, and Philippines HCSs% decreased as the smoking rate decreased while HCSs% increased in Turkey (66%), Vietnam (33%) and Ukraine (15%). In most countries, CPD ranged from 15 to 20 sticks except in Mexico (7.8), and India (10.4) where CPD declined by 18 and 22% respectively. MPOWER scores were moderately correlated with HCSs% in both sexes (r = 0.644, p = 0.044) and HCSp% (r = 0.632, p = 0.05) and among women only HCSs% (r = 0.804, p = 0.005) was significantly correlated with MPOWER score.
CONCLUSION: With declining smoking prevalence, HCS had also decreased and quit rates improved. Ecologically, a positive linear relationship between changes in smoking and HCS is a possible evidence against 'hardening'. Continued monitoring of the changes in quitting and hardcore smoking behaviours is required to plan cessation services.
MATERIALS AND METHODS: This cross-sectional study included 150 subjects aged 30 years and above who attended a health screening in a Malaysian tertiary institution. Sociodemographics, clinical characteristics and laboratory parameters (lipids, glucose, and sdLDL) were obtained. Lipoprotein subfraction was analysed using the polyacrylamide gel electrophoresis method.
RESULTS: Malays and females made up the majority of subjects and the median age was 37 years. Normolipidaemic Pattern B was significantly higher in women (p=0.008). Significant independent predictors of Pattern B were gender (p=0.02), race (p=0.01), body mass index (BMI) [p=0.02] and lipid status (p=0.01). Triglyceride was the only independent predictor of sdLDL (p=0.001).
CONCLUSION: The prevalence of Pattern B of 33% in this study was comparatively high, of which 6.7% were normolipidaemic. Chinese males with dyslipidaemia and increased BMI independently predicted Pattern B. Differences in triglyceride levels alone among these ethnic groups do not fully explain the differences in the prevalence of Pattern B although it was the only lipid parameter to independently predict sdLDL. Individuals with atherogenic normolipidaemia are at greater risk for a CVD event as they are not included in the protective measures of primary CVD prevention.