Evidence map›Paper›PMID 26417557›Full record

ArticleNorth American journal of medical sciences2015

Estimation of 10-Year Risk of Coronary Heart Disease in Nepalese Patients with Type 2 Diabetes: Framingham Versus United Kingdom Prospective Diabetes Study.

Daya Ram Pokharel, Dipendra Khadka, Manoj Sigdel, Naval Kishor Yadav, Lokendra Bahadur Sapkota, Ramchandra Kafle, Sarthak Nepal, Ravindra Mohan Sapkota, Niraj Choudhary

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Article in North American journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Daya Ram PokharelDepartment of Biochemistry, Manipal College of Medical Sciences, Pokhara, Kaski, Nepal.
Dipendra KhadkaDepartment of Laboratory Science, School of Health and Allied Sciences, Pokhara University, Lekhnath, Kaski, Nepal.
Manoj SigdelDepartment of Biochemistry, Manipal College of Medical Sciences, Pokhara, Kaski, Nepal.
Naval Kishor YadavDepartment of Biochemistry, Manipal College of Medical Sciences, Pokhara, Kaski, Nepal.
Lokendra Bahadur SapkotaDepartment of Biochemistry, Manipal College of Medical Sciences, Pokhara, Kaski, Nepal.
Ramchandra KafleDepartment of Internal Medicine, Manipal College of Medical Sciences and Teaching Hospital, Phoolbari, Pokhara, Kaski, Nepal.
Sarthak NepalDepartment of Internal Medicine, Manipal College of Medical Sciences and Teaching Hospital, Phoolbari, Pokhara, Kaski, Nepal.
Ravindra Mohan SapkotaInstitute of Microbiology, Immunology and Hygiene, Technical University Munich, Trogerstrasse, Munich, Germany.
Niraj ChoudharyDepartment of Laboratory Science, School of Health and Allied Sciences, Pokhara University, Lekhnath, Kaski, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredicting future coronary heart disease (CHD) risk with the help of a validated risk prediction function helps clinicians identify diabetic patients at high risk and provide them with appropriate preventive medicine.

aimThe aim of this study is to estimate and compare 10-year CHD risks of Nepalese diabetic patients using two most common risk prediction functions: The Framingham risk equation and United Kingdom Prospective Diabetes Study (UKPDS) risk engine that are yet to be validated for Nepalese population. PATIENTS AND

methodsWe conducted a hospital-based, cross-sectional study on 524 patients with type 2 diabetes. Baseline and biochemical variables of individual patients were recorded and CHD risks were estimated by the Framingham and UKPDS risk prediction functions. Estimated risks were categorized as low, medium, and high. The estimated CHD risks were compared using kappa statistics, Pearson's bivariate correlation, Bland-Altman plots, and multiple regression analysis.

resultsThe mean 10-year CHD risks estimated by the Framingham and UKPDS risk functions were 17.7 ± 12.1 and 16.8 ± 15 (bias: 0.88, P > 0.05), respectively, and were always higher in males and older age groups (P < 0.001). The two risk functions showed moderate convergent validity in predicting CHD risks, but differed in stratifying them and explaining the patients' risk profile. The Framingham equation predicted higher risk for patients usually below 70 years and showed better association with their current risk profile than the UKPDS risk engine.

conclusionsBased on the predicted risk, Nepalese diabetic patients, particularly those associated with increased numbers of risk factors, bear higher risk of future CHDs. Since this study is a cross-sectional one and uses externally validated risk functions, Nepalese clinicians should use them with caution, and preferably in combination with other guidelines, while making important medical decisions in preventive therapy of CHD.

Indexed as

Convergent validitycoronary heart diseaseframingham risk equationNepalrisk predictiontype 2 diabetesUKPDS risk engine

Identifiers

PMID26417557
PMCPMC4561440

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