Estimation of the Long-term Cardiovascular Events Using UKPDS Risk Engine in Metabolic Syndrome Patients

Long-term cardiovascular complications in metabolic syndrome are a major cause of mortality and morbidity in India and forecasted estimates in this domain of research are scarcely reported in the literature. The aim of present investigation is to estimate the cardiovascular events associated with a representative Indian population of patients suffering from metabolic syndrome using United Kingdom Prospective Diabetes Study risk engine. Patient level data was collated from 567 patients suffering from metabolic syndrome through structured interviews and physician records regarding the input variables, which were entered into the United Kingdom Prospective Diabetes Study risk engine. The patients of metabolic syndrome were selected according to guidelines of National Cholesterol Education Program – Adult Treatment Panel III, modified National Cholesterol Education Program – Adult Treatment Panel III and International Diabetes Federation criteria. A projection for 10 simulated years was run on the engine and output was determined. The data for each patient was processed using the United Kingdom Prospective Diabetes Study risk engine to calculate an estimate of the forecasted value for the cardiovascular complications after a period of 10 years. The absolute risk (95% confidence interval) for coronary heart disease, fatal coronary heart disease, stroke and fatal stroke for 10 years was 3.79 (1.5–3.2), 9.6 (6.8–10.7), 7.91 (6.5–9.9) and 3.57 (2.3–4.5), respectively. The relative risk (95% confidence interval) for coronary heart disease, fatal coronary heart disease, stroke and fatal stroke was 17.8 (12.98–19.99), 7 (6.7–7.2), 5.9 (4.0–6.6) and 4.7 (3.2–5.7), respectively. Simulated projections of metabolic syndrome patients predict serious life-threatening cardiovascular consequences in the representative cohort of patients in western India.

• Publication year

  2014

• Venue

  Indian Journal of Pharmaceutical Sciences

• Publication date

  2014-03-01

• Fields of study

  Medicine

• Identifiers
  DOI 10.4103/0250-474X.131541PMID 24843193PMCID 4023289
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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