title: Relationship between serum uric acid level and cardiometabolic risks in nondiabetic patients with schizophrenia.
abstract: This study examined the relationship between serum levels of uric acid and insulin resistance and metabolic syndrome in nondiabetic patients with schizophrenia. Outpatients diagnosed with schizophrenia or schizoaffective disorder participated in a multicenter, cross-sectional study. Fasting blood samples were obtained to determine serum levels of metabolic measures. A total of 135 patients were recruited for the study. A significant positive relationship was found between serum levels of uric acid and the homeostasis model of assessing insulin resistance (log transformed, r=0.394, P<0.001), and a significant negative relationship was found between serum levels of uric acid and low-density lipoprotein particle size (log transformed, r=-0.306, P=0.001) after controlling for potential confounding variables. Hierarchical multiple regression suggested that serum uric acid level is a significant predictor of insulin resistance (P=0.001) and of low-density lipoprotein particle size (P<0.015). Further, logistic regression showed that serum uric acid levels strongly predicted the condition of metabolic syndrome (odds ratio 0.630, 95% confidence interval 0.463-0.856, P=0.003). This study suggested that uric acid may be a clinically useful biomarker to indicate cardiometabolic risks in nondiabetic patients with schizophrenia.
authors.affiliation: aPsychotic Disorders Program, UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, Massachusetts, USA bThe First Affiliated Hospital, Zhengzhou University, Zhengzhou cHenan Province Mental Hospital, the Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, China.
authors.forename: Shirley
authors.initials: S
authors.lastname: Rajan
authors.forename: Isheeta
authors.initials: I
authors.lastname: Zalpuri
authors.forename: Amy
authors.initials: A
authors.lastname: Harrington
authors.forename: Cezar
authors.initials: C
authors.lastname: Cimpeanu
authors.forename: Xueqin
authors.initials: X
authors.lastname: Song
authors.forename: Xiaoduo
authors.initials: X
authors.lastname: Fan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D002318:Cardiovascular Diseases / Q000097:blood* / Q000150:complications / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D005260:Female; D006706:Homeostasis; D006801:Humans; D007333:Insulin Resistance; D008077:Lipoproteins, LDL / Q000097:blood; D008297:Male; D008659:Metabolic Diseases / Q000097:blood* / Q000150:complications / Q000453:epidemiology*; D024821:Metabolic Syndrome / Q000453:epidemiology / Q000209:etiology; D008875:Middle Aged; D011237:Predictive Value of Tests; D012559:Schizophrenia / Q000097:blood* / Q000150:complications / Q000453:epidemiology*; D014527:Uric Acid / Q000097:blood*; D055815:Young Adult
chemical_list: D015415:Biomarkers; D008077:Lipoproteins, LDL; D014527:Uric Acid