Modified Thai Diabetes Risk Score as a Screening Tool For Identification Metabolic Syndrome

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Siwakorn Porntrakulphiphat
Kaewjai Thepsuthammarat
Tatiya Treapkhuntong
Thongchai Pratipanawatr

Abstract

Background and Objective: The screening of the metabolic syndrome with Thai Diabetes Risk Score is a convenient method. This study aims to determine the reliability and predictive power of the modified model and model 2 of Thai Diabetes Risk Score as a screening tool for identification the metabolic syndrome and calculate for the prevalence of the metabolic syndrome.

Methods: This study designed as a cross–sectional analytical study, collected data from the computer database of the people who attended this clinic for annual checkup age 35-75 years in Srinagarind Hospital during January 2007-December 2009. The data was assesses with modified model and model 2 of Thai Diabetes Risk Score compared to the diagnostic criteria of IDF and AHA/NHLBI 2009 representatives (gold standard) and calculated for sensitivity, specificity, PPV, false positive rate, %need subsequent test and ROC area.

Results: The metabolic syndrome was diagnosed in 291 from 1,287 subjects (22.6%, 95%CI 20.3–24.9). The ROC area of 0.847 [95%CI 0.823-0.871] and 0.869 [95%CI 0.848-0.891] were reported in modified model and model 2 of Thai Diabetes Risk Score, respectively. The optimal cutoff value for metabolic syndrome screening were 6 and 18 with the sensitivity of 83.8% and 82.5%, specificity of 73.1% and 77.4%, PPV of 47.7% and 51.6%, false positive rate 26.9% and 22.6%, %subsequent test of 39.8 and 36.1, respectively.                                                                                                                                              Conclusion: Both models of Thai Diabetes Risk Score can be used for the metabolic syndrome screening.

Key words: metabolic syndrome, diabetes risk score, diagnostic test

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1.
Porntrakulphiphat S, Thepsuthammarat K, Treapkhuntong T, Pratipanawatr T. Modified Thai Diabetes Risk Score as a Screening Tool For Identification Metabolic Syndrome. Srinagarind Med J [Internet]. 1 [cited 2021Oct.23];26(3):213-24. Available from: https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/12812
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