Milawaty Nurjono1, Jimmy Lee. 1. Research Division, Institute of Mental Health, Singapore, Singapore.
Abstract
AIMS: This study aims to examine and compare the predictive utility of blood pressure (BP), waist circumference (WC) and body mass index (BMI), and to determine optimal cut-off values in prediction of metabolic syndrome (MetS) in patients with chronic schizophrenia. METHODS: About 100 patients with chronic schizophrenia were recruited. BMI and BP were measured and laboratory tests to evaluate patients' high-density lipoprotein cholesterol, triglycerides and glucose levels were performed. Presence of MetS was examined according to AHA/NHLBI guidelines. Predictive utility of BP, WC and BMI was examined using receiver operating curve and discriminant indices were determined accordingly. RESULTS: Forty-six (46%) patients were identified to have MetS. BMI of ≥23 kg m(-2) was most accurate (AUC = 0.83, P < 0.001), with sensitivity of 93.5%, specificity of 48.1%, positive predictive value of 60.6% and negative predictive value of 92.9% in identifying MetS. CONCLUSION: This finding has immediate and significant clinical implications in the local population with schizophrenia.
AIMS: This study aims to examine and compare the predictive utility of blood pressure (BP), waist circumference (WC) and body mass index (BMI), and to determine optimal cut-off values in prediction of metabolic syndrome (MetS) in patients with chronic schizophrenia. METHODS: About 100 patients with chronic schizophrenia were recruited. BMI and BP were measured and laboratory tests to evaluate patients' high-density lipoprotein cholesterol, triglycerides and glucose levels were performed. Presence of MetS was examined according to AHA/NHLBI guidelines. Predictive utility of BP, WC and BMI was examined using receiver operating curve and discriminant indices were determined accordingly. RESULTS: Forty-six (46%) patients were identified to have MetS. BMI of ≥23 kg m(-2) was most accurate (AUC = 0.83, P < 0.001), with sensitivity of 93.5%, specificity of 48.1%, positive predictive value of 60.6% and negative predictive value of 92.9% in identifying MetS. CONCLUSION: This finding has immediate and significant clinical implications in the local population with schizophrenia.
Authors: Davy Vancampfort; Martien Wampers; Alex J Mitchell; Christoph U Correll; Amber De Herdt; Michel Probst; Marc De Hert Journal: World Psychiatry Date: 2013-10 Impact factor: 49.548