OBJECTIVE: The metabolic syndrome (MS) is a cluster of cardiometabolic factors, which predisposes to diabetes and cardiovascular disease (CVD). Early detection of high-risk individuals for MS using accurate measures of insulin resistance (IR) could improve detection and prevention of CVD and diabetes. The aim of this study was to explore the ability of lipid accumulation product (LAP), compared with traditional measures of IR, to identify MS. DESIGN: In total, 768 Spanish adults were recruited. MS was assessed using the revised criteria of National Cholesterol Education Program/Adult Treatment Panel III (NCEP/ATP III) and International Diabetes Federation (IDF). Measures of IR such as homeostasis model assessment of IR and LAP, an index of lipid accumulation based on a combination of waist circumference and serum triglycerides, were calculated. Receiver operating characteristic analysis was performed in order to detect the parameter with the best predictive capability for MS. RESULTS: The prevalence of MS-NCEP/ATP III and MS-IDF was 15.1 and 20.5% for men respectively, and 15.4 and 17.5% for women. LAP showed the highest diagnostic accuracy for MS-NCEP/ATP III (area under the curve 0.91 and 0.90 among males and females) and MS-IDF (0.88 for both males and females). This was confirmed by internal validation using 20 000 bootstrap samples. Among males and females, different LAP cut-off values exhibited high sensitivity (78-85%) and specificity (78-85%) for MS-NCEP/ATP III and MS-IDF identification with elevated efficiency (proportion of positives and negatives classified correctly by the test=78-85%). When the sample was stratified according to decades of life, LAP exhibited a slightly lower performance among women than men, especially for MS-IDF detection. CONCLUSIONS: In non-diabetic adults LAP has a strong and reliable diagnostic accuracy for MS-IDF and, especially, MS-NCEP/ATP III among females and, in particular, among males from Spain.
OBJECTIVE: The metabolic syndrome (MS) is a cluster of cardiometabolic factors, which predisposes to diabetes and cardiovascular disease (CVD). Early detection of high-risk individuals for MS using accurate measures of insulin resistance (IR) could improve detection and prevention of CVD and diabetes. The aim of this study was to explore the ability of lipid accumulation product (LAP), compared with traditional measures of IR, to identify MS. DESIGN: In total, 768 Spanish adults were recruited. MS was assessed using the revised criteria of National Cholesterol Education Program/Adult Treatment Panel III (NCEP/ATP III) and International Diabetes Federation (IDF). Measures of IR such as homeostasis model assessment of IR and LAP, an index of lipid accumulation based on a combination of waist circumference and serum triglycerides, were calculated. Receiver operating characteristic analysis was performed in order to detect the parameter with the best predictive capability for MS. RESULTS: The prevalence of MS-NCEP/ATP III and MS-IDF was 15.1 and 20.5% for men respectively, and 15.4 and 17.5% for women. LAP showed the highest diagnostic accuracy for MS-NCEP/ATP III (area under the curve 0.91 and 0.90 among males and females) and MS-IDF (0.88 for both males and females). This was confirmed by internal validation using 20 000 bootstrap samples. Among males and females, different LAP cut-off values exhibited high sensitivity (78-85%) and specificity (78-85%) for MS-NCEP/ATP III and MS-IDF identification with elevated efficiency (proportion of positives and negatives classified correctly by the test=78-85%). When the sample was stratified according to decades of life, LAP exhibited a slightly lower performance among women than men, especially for MS-IDF detection. CONCLUSIONS: In non-diabetic adults LAP has a strong and reliable diagnostic accuracy for MS-IDF and, especially, MS-NCEP/ATP III among females and, in particular, among males from Spain.
Authors: Anna Karla Carneiro Roriz; Luiz Carlos Santana Passos; Carolina Cunha de Oliveira; Michaela Eickemberg; Pricilla de Almeida Moreira; Lílian Ramos Sampaio Journal: PLoS One Date: 2014-07-31 Impact factor: 3.240