How predictive is the Framingham's risk prediction algorithm in Indian perspective? A retrospective case-control study from Kolkata.

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dc.contributor.authorGuha, Santanuen_US
dc.contributor.authorPal, Subrata Kren_US
dc.contributor.authorChatterjee, Nen_US
dc.contributor.authorGuha, Sharmilaen_US
dc.contributor.authorGhosh, Arnaben_US
dc.contributor.authorDeb, P Ken_US
dc.date.accessioned2008-07-27en_US
dc.date.accessioned2009-05-27T04:24:05Z
dc.date.available2008-07-27en_US
dc.date.available2009-05-27T04:24:05Z
dc.date.issued2008-07-27en_US
dc.description.abstractOBJECTIVE: In this retrospective case-control study, an attempt was made to assess the predictive efficacy of Framingham's risk prediction algorithm in Indian perspective. METHODS: A total of 350 patients and 293 age- and sex-matched controls were considered in the study. Those patients, who were presenting for the first time with acute coronary syndrome (ACS) and who did not have any prior manifestation of coronary heart disease (CHD) formed the patient group. The risk prediction algorithm was applied to obtain the risk score and the corresponding 10-year risk in each patient and control. They were divided into two groups: diabetic and nondiabetic. Depending on the 10-year risk, they were further grouped into high risk (10-year risk > 20%), moderately high risk (10-year risk between 10% to 20%), and low risk (10-year risk < 10%). The results were compared and statistically analyzed. RESULTS: In the diabetic patients with ACS, 14.29% qualified as high risk, 32.79% as moderately high risk, and 52.94% as low risk. The corresponding figures for diabetic subjects without ACS were 3.26%, 54.35%, and 42.39%, respectively. In nondiabetic patients with ACS, 19.91% were in the high-risk group, 38.96% in moderately high risk, and 41.13% in the low-risk group; while among the controls, the corresponding figures were 9.95%, 21.89%, and 68.16%, respectively. In nondiabetic subjects, the mean risk was significantly higher for patients compared to controls (14.13 vs. 8.61, p < 0.01). However, in diabetic subjects, there was no significant difference in the mean projected risk between those with ACS and those without ACS (11.37 vs. 10.41, p = NS). CONCLUSION: In the Indian perspective, Framingham's risk prediction protocol has a fair amount of predictive efficacy since the difference of mean risk score between the patients and controls was statistically significant. However, it fails to identify a large proportion of high-risk nondiabetic patients. Hence, a better protocol for the Indian perspective is badly needed.en_US
dc.description.affiliationDepartment of Cardiology, NRS Medical College and Hospital, Kolkata, India. guhas55@hotmail.comen_US
dc.identifier.citationGuha S, Pal SK, Chatterjee N, Guha S, Ghosh A, Deb PK. How predictive is the Framingham's risk prediction algorithm in Indian perspective? A retrospective case-control study from Kolkata. Indian Heart Journal. 2008 Jul-Aug; 60(4): 330-2en_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/4676
dc.language.isoengen_US
dc.source.urihttps://indianheartjournal.comen_US
dc.subject.meshAcute Coronary Syndrome --diagnosisen_US
dc.subject.meshAdulten_US
dc.subject.meshAgeden_US
dc.subject.meshAged, 80 and overen_US
dc.subject.meshAlgorithmsen_US
dc.subject.meshCase-Control Studiesen_US
dc.subject.meshCoronary Artery Disease --diagnosisen_US
dc.subject.meshDiabetes Mellitusen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshIndiaen_US
dc.subject.meshMaleen_US
dc.subject.meshMiddle Ageden_US
dc.subject.meshPredictive Value of Testsen_US
dc.subject.meshRetrospective Studiesen_US
dc.subject.meshRisk Assessmenten_US
dc.titleHow predictive is the Framingham's risk prediction algorithm in Indian perspective? A retrospective case-control study from Kolkata.en_US
dc.typeJournal Articleen_US
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