Medicine
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This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty
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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.Item Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study(BMJ Publishing Group Ltd, 2020) Kasturiratne, A.; Ediriweera, D.S.; de Silva, S.T.; Niriella, M.A.; Thulani, U.B.; Pathmeswaran, A.; Dassanayake, A.S.; de Silva, A.P.; Chackrewarthy, S.; Ranawaka, U.; Kato, N.; Wickremasinghe, A.R.; de Silva, H.J.OBJECTIVE: To describe patterns and predictors of mortality in a semi-urban population in Sri Lanka. DESIGN: A prospective population-based cohort study. Setting: Ragama Medical Officer of Health area in the Gampaha district, Sri Lanka. PARTICIPANTS: Adults between 35 and 64 years of age were recruited using an age stratified random sampling technique in 2007. MEASURES: At baseline, we recorded socio-demographic, lifestyle, anthropometric, biochemical and clinical data of the participants. Over 10 years, we obtained the cause and date of death from the death registration documents of deceased participants. We determined the survival probability of the cohort over 10 years and estimated Hazard ratios (HRs) for all-cause mortality (ACM), cardiovascular mortality (CVM) and cancer-related mortality (CRM) using Cox's proportional hazards model. We also estimated the survival probabilities for men and women in each 10-year age group and standardised mortality ratio relative to the source population. RESULTS: There were 169 deaths over 10 years with standardised mortality rates of 5.3 and 2.4 per 1000 years of follow-up for men and women, respectively. Independent predictors of: ACM were older age, lower income, smoking and diabetes mellitus while gender, education, occupation, harmful alcohol use, waist circumference and hypertension were not; CVM were older age, lower income, smoking, diabetes and hypertension while gender and harmful alcohol use were not; CRM was older age while gender, smoking and diabetes were not. Those engaged in clerical and technical occupations or unemployed had a lower risk of CRM as compared with those engaged in elementary occupations. CONCLUSIONS: Older age, lower income, smoking, diabetes and hypertension strongly predict mortality in this cohort. Addressing the identified modifiable predictors through behavioural modification will improve longevity in similar populations. Keywords: coronary heart disease; epidemiology; public health.Item Multiple choice questions for self-assesment in Biochemistry with explanatory answers(Author Publication, 2015) Chackrewarthy, S.Item Utility of glycosylated haemoglobin in diagnosing diabetes in an urban Sri Lankan community(Sri Lanka Medical Association, 2017) Wijekoon, C.N.; Pathmeswaran, A.; Chackrewarthy, S.; Kato, N.; Wickremasinghe, A.R.INTRODUCTION: American Diabetes Association (ADA) has officially endorsed glycosylated haemoglobin (HbA1c) as a diagnostic tool. The recommended cut-off for diagnosing diabetes is 6.5%. OBJECTIVES: To compare use of HbA1c and fasting plasma glucose (FPG) to diagnose diabetes in an urban Sri Lankan community. METHODS: This cross-sectional study is based on baseline data from a prospective study on non-communicable diseases in randomly selected individuals aged 35-64 years in a selected community. HbA1c was measured by National Glycohaemoglobin Standardization Program certified Bio Rad Variant HbA1c HPLC method. Diagnostic performance of HbA1c was evaluated in those without previous diabetes. Receiver Operating Characteristic Curve was used to identify optimum HbA1c threshold. RESULTS: We studied 2516 individuals with no previous history of diabetes. Of these 53.8% were women. Mean age was 52 ± 7.9 years. FPG was 7mmol/l in 245 (9.7%). HbA1c was 6.5% in 173 (6.9%). Concordance between FPG and HbA1c was 95% (both criteria positive: 5.8%; both criteria negative: 89.2%). Compared to FPG, HbA1c cut-off of 6.5% had specificity of 98.9% (95% CI 98.3-99.3) and sensitivity of 60% (95% CI 53.6-66.2). Positive and negative predictive values were 85% (95% CI 78.8-89.9) and 95.8% (95% CI 94.9-96.6), respectively. Compared to FPG, optimum HbA1c threshold for diagnosing diabetes was 5.9% (sensitivity: 84%; specificity: 88.8%; area under the curve: 0.91). CONCLUSIONS: In the study population, detection of diabetes with ADA recommended HbA1ccriterion was 29% less than with FPG criterion. Compared to FPG, HbA1c had high specificity but sensitivity was low. Further research is needed to refine the optimum HbA1c threshold in Sri Lankans.Item Serum adiponectin levels in overweight and obese women; discrimination between insulin resistance and abdominal obesity(American Association for Clinical Chemistry, 2016) Chackrewarthy, S.; Medagoda, K.; Marasinghe, E.; Wijayasinghe, S.INTRODUCTION: Insulin resistance and abdominal obesity are both associated with lower serum adiponectin concentrations. Since insulin resistance and abdominal obesity are related, the extent to which the association of adiponectin with insulin resistance is dependent on its relationship with abdominal obesity is not clear. The present study investigated the association between insulin resistance and abdominal obesity in its relationship with serum adiponectin. METHODS : Eighty-eight overweight or obese women (BMI>23) in the age group 35-65 years were enrolled. Anthropometric measurements, blood pressure were recorded and a fasting blood sample was obtained for biochemical parameters. Insulin resistance (IR) was quantified by homeostasis model assessment of insulin resistance (HOMA-IR). Abdominal obesity was assessed by waist circumference (WC). Subjects were divided according to WC quartiles: Q1) WC < 89cm (n = 21); Q2) WC 89-96cm (n = 21); Q3) WC 97-102cm (n = 25); and Q4) WC > 102cm (n = 21) and on the basis of insulin resistance. Data were analysed by SPSS 16.0. RESULTS: The mean serum concentration of adiponectin in women were 5.93±1.9 µg/mL. In linear regression analysis, significant correlates of serum adiponectin were serum insulin (r = -0.439, p=0.000) and insulin resistance (r = -0.415, p0.05). High-density lipoprotein (HDL) correlated positively with adiponectin level (p 2.5) subjects had significantly lower (p< 2.5) subjects irrespective of the level of abdominal adiposity. CONCLUSION: High adiponectin levels are associated with insulin sensitivity and a favourable lipid profile. Serum adiponectin levels are more tightly linked with insulin resistance than with abdominal obesity.Item Risk estimates of cardiovascular diseases in a Sri Lankan community(Sri Lanka Medical Association, 2016) Ranawaka, U.K.; Wijekoon, C.N.; Pathmeswaran, A.; Kasturiratne, A.; Gunasekara, D.; Chackrewarthy, S.; Kato, N.; Wickremasinghe, A.R.OBJECTIVES: Quantifying the risk of cardiovascular disease (CVD) in a community is important in planning preventive strategies, but such data are limited from developing countries, especially South Asia. We aimed to estimate the risks of coronary heart disease (CHD), total CVD, and CVD mortality in a Sri Lankan community. METHODS: A community survey was conducted in an urban health administrative area among individuals aged 35- 64 years, selected by stratified random sampling. Their 10-year CHD, total CVD, and CVD mortality risks were estimated using three risk prediction tools: National Cholesterol Education Program - Adult Treatment Panel III (NCEP-ATP III), Systematic Coronary Risk Evaluation (SCORE), and World Health Organisation/ International Society of Hypertension (WHO/ISH) charts. RESULTS: Among study participants (n=2985), 54.5% were females, and mean age (SD) was 52.4 (7.8) years. According to NCEP-ATP III (‘hard’ CHD risk), WHO/ISH (total CVD risk), and SCORE (CVD mortality risk) criteria, 25.4% (95% CI 23.6-27.2), 8.2% (95% CI 7.3-9.2), and 11.8 (95% CI 10.5-13.1) respectively were classified as at ‘high risk’. The proportion of high risk participants increased with age. ‘High risk’ was commoner among males (30.3% vs 20.6%, p<0.001) according to NCEPATP III criteria, but among females (9.7% vs. 6.7%, p<0.001) according to WHO/ISH criteria. No significant gender difference was noted in SCORE risk categories. CONCLUSIONS: A large proportion of individuals in this community are at risk of developing cardiovascular diseases, especially in older age groups. Risk estimates varied with the different prediction tools, and were comparatively higher with NCEP-ATP III charts.Item Glucose tolerance(Intech, 2012) Chackrewarthy, S.The progression from normal glucose tolerance (NGT) to type 2 diabetes involves intermediate stages of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), also known as prediabetes. The pathophysiology underlying the development of these glucose metabolic alterations is multifactorial, leading to an alteration in the balance between insulin sensitivity and insulin secretion. Our knowledge of the molecular basis of the signaling pathways mediating the various physiologic effects of insulin is steadily advancing. New substrates and signaling molecules have been identified and potential mechanisms involved in the pathophysiology of type 2 diabetes have been revealed. This book summarises the current state of knowledge on the pathophysiology underlying the progression from normal glucose tolerance to type 2 diabetes and therapeutic advances in the improvement of glycaemic control in prediabetic and diabetic states.Item Hypoglycaemic and hypolipidaemic effects of an ethylacetate fraction of Artocarpus heterophyllus leaves(Intech, 2012) Chackrewarthy, S.; Thabrew, M.I.Item The Ragama Health Study: the methodology of the prospective cohort study for the establishment of diagnostic criteria for metabolic syndrome in Sri Lankans(Sri Lanka Medical Association, 2008) Wickremasinghe, A.R.; de Silva, H.J.; de Silva, H.A.; de Silva, N.R.; Kasturiratne, A.; Pinidiyapathirage, J.; Chackrewarthy, S.; Pathmeswaran, A.; Weerasinghe, G.A.K.; Abeyewickreme, W.; Makaya, M.; Mizoue, T.; Kato, N.BACKGROUND: Sri Lanka is in the midst of the epidemiologic transition with non-communicable diseases being a leading cause of death and hospitalization. This pilot study is a part of an international study conducted by the International Medical Centre of Japan (IMCJ) in collaboration with the Faculty of Medicine, University ofKelaniya. OBJECTIVE; To determine the prevalence of major metabolic disorders and to establish diagnostic criteria for metabolic syndrome in the Sri Lankan population as a pilot study. DESIGN, SETTING AND METHODS: A random sample of 3500 adults 35-64 years was selected from the electoral register. Houses of selected subjects were visited and the selected subject invited to participate in the study. Subjects were instructed to fast for 12 hours and refrain from smoking and consumption of alcohol overnight prior to presenting at the Family Medicine clinic of the Faculty of Medicine, University of Kelaniya. At the clinic, subjects were assigned an unique identification number and a detailed history taken and investigations carried out. Heights, weights, blood pressure and waist and hip circumference were measured using standard techniques. Subjects underwent an ultrasound scan of the liver and a sample of blood was obtained for full. blood count, blood picture, lipid profile, serurn insulin, serum alanine transferase, fasting blood sugar and for genetic analysis. Samples of blood for genetic analysis have been stored at -30° C until further analysis. In addition, subjects were administered a food frequency questionnaire and an assessment of daily physical activities recorded. All subjects with abnormal results of investigations are being followed up.Item Prevalence of metabolic syndrome in a Sri Lankan community(Sri Lanka Medical Association, 2008) Chackrewarthy, S.; Gunasekera, D.; de Silva, L.D.R.; Pathmeswaran, A.; Wijekoon, C.N.; Ranawaka, U.K.; Mizoue, T.; Kato, N.OBJECTIVE: To estimate the prevalence of metabolic syndrome (MetS) in a Sri Lankan community. Limited information is available about MetS in Sri Lankans. DESIGN, SETTING AND METHODS: A total of 2948 individuals (1345 males and 1603 females) who participated in the Ragama Health Study comprised the study population. Prevalence of MetS was estimated using three widely used criteria: International Diabetes Federation (IDF), WHO and National Cholesterol Education Programme - Adult Treatment Panel III (NCEP-ATP III). RESULTS: Age and sex adjusted prevalence rates of MetS were 38.9%, 38.9% and 41.6% as defined by IDF, WHO and NCEP-ATP III respectively. Prevalence increased with age (for age groups 35-44, 45-54 and 55- 65 years respectively; IDF - 27.9%, 40,1%, 42.9% ; WHO - 28.7%, 43.2%, 52.6%; NCEP ATP III - 34.6%, 46.7%, 50.6%; P<0.001 in all). MetS was commoner in women (IDF - 45.8% Vs. 23.0%, P<0.001; WHO - 37.3% Vs. 40.5%, P>0.05; NCEP-ATP III - 49.8% Vs. 33.1%, P<0.001). Prevalence of central obesity (using Asian cutoff values) was higher in women. (70.8% Vs. 35.5%, P<0.001). CONCLUSION: Prevalence of MetS is high in this community. Preventive measures towards reducing trie risks associated with MetS should be promoted.