Conference Papers
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This collection contains abstracts of conference papers, presented at local and international conferences by the staff of the Faculty of Medicine
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Item Compliance with antihypertensive medications and its associations and knowledge on Hypertension-Hospital based study in Sri Lanka(Sri Lanka College of Internal Medicine, 2019) Medagedara, A.U.; Thampoe, R.S.; Batagoda, B.M.S.M.; Mendis, W.A.S.; Martin, V.T.; Mettananda, K.C.D.BACKGROUND: Hypertension is the commonest preventable risk factor for the development of cardio and cerebrovascular disorders. Poor compliance with anti-hypertensive medications is an important yet often an under recognized risk factor for uncontrolled hypertension and rarely has this aspect been investigated thus far in Sri Lanka. OBJECTIVES: To determine the prevalence and associations of compliance with antihypertensive medications and the knowledge on hypertension among patients attending to medical clinics conducted by the Department of Medicine of the Faculty of Medicine, Ragama. METHODS: An interviewer-administered questionnaire and the patients' clinic records were utilized to collect data. Prevalence was assessed using SPSS 22 version. Associated factors were analyzed by binary logistic regression. RESULTS: Prevalence of medium and low compliance are 42.3% and 35.1% respectively. Factors significantly associated with poor compliance were not starting treatment at all due to the feeling that it's better not to start a treatment that they'll have to continue for the whole lifetime (p value 0.04), frequency at which medications have to be taken being too difficult to be followed (p value 0.00), finding it difficult to comprehend the instructions provided by the pharmacist (p value 0.00) and lack of knowledge on hypertension (p value 0.00). CONCLUSION: Compliance with antihypertensive medications can be enhanced by rectifying patients' misconceptions on hypertension.Item Validation of the World Health Organization/ International Society of Hypertension (WHO/ISH) cardiovascular risk predictions in Sri Lankans based on findings from a prospective cohort study(Ceylon College of Physicians, 2020) Thulani, U.B.; Mettananda, K.C.D.; Warnakulasuriya, D.T.D.; Peiris, T.S.G.; Kasturiratne, K.T.A.A.; Ranawaka, U.K.; Chackrewarthy, S.; Dassanayake, A.S.; Kurukulasooriya, S.A.F.; Niriella, M.A.; de Silva, S.T.; Pathmeswaran, A.P.; Kato, N.; de Silva, H.J.; Wickremasinghe, A.R.INTRODUCTION AND OBJECTIVES: There are no cardiovascular(CV)-risk prediction models specifically for Sri Lankans. Different risk prediction models not validated among Sri Lankans are being used to predict CV-risk of Sri Lankans. We validated the WHO/ISH (SEAR-B) risk prediction charts prospectively in a population-based cohort of Sri Lankans. METHOD: We selected participants between 40-64 years, by stratified random sampling of the Ragama Medical Officer of Health area in 2007 and followed them up for 10-years. Risk predictions for 10-years were calculated using WHO/ISH (SEAR-B) charts with- and without-cholesterol in 2007. We identified all new-onset cardiovascular events(CVE) from 2007-2017 by interviewing participants and perusing medical-records/death-certificates in 2017. We validated the risk predictions against observed CVEs. RESULTS: Baseline cohort consisted of 2517 participants (males 1132 (45%), mean age 53.7 (SD: 6.7 years). We observed 215 (8.6%) CVEs over 10-years. WHO/ISH (SEAR B) charts with and without-cholesterol predicted 9.3% (235/2517) and 4.2% (106/2517) to be of high CV-risk ≥20%), respectively. Risk predictions of both WHO/ISH (SEAR B) charts with- and without-cholesterol were in agreement in 2033/2517 (80.3%). Risk predictions of WHO/ISH (SEAR B) charts with and with out-cholesterol were in agreement with observed CVE percentages among all except in high risk females predicted by WHO/ISH (SEAR B) chart with-cholesterol (observed risk 15.3% (95% Cl 12.5 - 18.2%) and predicted risk 2::20%). CONCLUSIONS: WHO/ISH (SEAR B) risk charts provide good 10-year CV-risk predictions for Sri Lankans. The predictions of the two charts, with and without-cholesterol, appear to be in agreement but the chart with-cholesterol seems to be more predictive than the chart without-cholesterol. Risk charts are more predictive in males than in females. The predictive accuracy was best when stratified into two categories; low (<20%) and high (≥20%) risk.