All-cause mortality risk predictors in a preventive cardiology clinic cohort-examining diabetes and individual metabolic syndrome criteria: a PRECIS database study.

AIM: It is unclear if metabolic syndrome (MS) is equal to type 2 diabetes mellitus (DM) in predicting cardiovascular disease (CVD) risk and mortality, and its prognostic value compared to Framingham risk model is controversial. We assessed mortality, CVD risk and prevalence in patients with DM and those without DM who met National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) MS criteria compared to patients without DM or MS. We analysed which component(s) of NCEP MS criteria had greatest predictive value for mortality. METHODS: Retrospective cohort analysis of 1189 DM, 1241 MS (fasting glucose < 126 mg/dl and > or =3 components NCEP-ATP III criteria) and 3023 non-DM/non-MS patients presented for baseline visit to Preventive Cardiology clinic between 1995 and 2006, whose subsequent vital status was determined for a median of 5.2 years. The association with mortality was determined by Cox proportional hazards models. The incremental predictive value of MS components was performed by concordance indexes. RESULTS AND CONCLUSION: DM group had highest mortality and CVD prevalence vs. MS and non-DM/non-MS groups respectively (all p < or = 0.001). Patients with MS criteria had increased CVD prevalence and 1.5-fold increased mortality vs. non-DM/non-MS group (all p < 0.02). In NCEP MS criteria, only fasting glucose significantly predicted mortality in MS group (p = 0.05). MS criteria predicted CVD prevalence in a parallel manner to Framingham risk score assessment. In a cohort of patients at high risk for CVD whose risk factors are being treated, presence of diabetes in addition to plasma glucose within NCEP MS criteria strongly predicts all-cause mortality.

Serum uric acid, mortality and glucose control in patients with Type 2 diabetes mellitus: a PreCIS database study.

AIMS: To determine the association of serum uric acid with all-cause mortality and hyperglycaemia in patients with Type 2 diabetes. METHODS: Retrospective cohort analysis of 535 consecutive patients who had uric acid determinations between 1998 and 2004 and whose subsequent vital status was determined at a median of 4.5 years. The association with mortality was analysed with Cox proportional hazards models. The incremental predictive value of uric acid was examined with concordance indexes. The proportional risk of mortality was represented with the Kaplan-Meier survival curves by uric acid quartiles. RESULTS: We studied 370 men and 165 women aged 59.3 +/- 11.5 years. Mean uric acid was 371.7 +/- 106.2 micromol/l. Patients with glycated haemoglobin (HbA(1c)) > or = 9% had lower uric acid vs. the rest (342.2 +/- 112.1 vs. 383.5 +/- 106.2, P = 0.002). Overall mortality was 10.8%. For each 59 micromol/l increase in uric acid there was a 41% increase in risk of death (unadjusted analysis). The association of uric acid with mortality remained after adjustment for covariates (hazard ratio = 1.21, 95% confidence interval 1.07-1.45) and after gender subanalyses. Uric acid increased the accuracy of prediction when added to a model including Framingham risk factors, components of metabolic syndrome and fibrinogen (P = 0.03). Mortality was higher in patients taking diuretics vs. the rest (15.9 vs. 7.3%), but uric acid predicted mortality in both subgroups. CONCLUSIONS: Serum uric acid predicts mortality in Type 2 diabetic patients regardless of gender, HbA(1c), renal function and diuretic use. Intervention studies should determine whether uric acid is a potential therapeutic target or only a marker of mortality risk.