title: Association of white blood cell count with metabolic syndrome in patients undergoing peritoneal dialysis.
abstract: Metabolic syndrome is associated with an increased risk of diabetes and cardiovascular disease. Although some data suggest that the prevalence of metabolic syndrome is higher in patients undergoing peritoneal dialysis (PD), the factors related to this increased risk are not well elucidated. We therefore examined whether peripheral white blood cell (WBC) count is correlated with the risk of metabolic syndrome in nondiabetic PD patients. We enrolled 104 nondiabetic PD patients without current infections or chronic inflammatory diseases. Complete blood cell count, anthropometry, blood pressure, fasting glucose, insulin, and lipid profiles were measured. Metabolic syndrome was defined in accordance with the National Cholesterol Education Program (Adult Treatment Panel III) criteria. Metabolic syndrome was present in 49 patients (47.1%). Patients with metabolic syndrome had a higher WBC count and high-sensitivity C-reactive protein level. As the number of metabolic syndrome components increased, WBC count increased significantly. White blood cell count was significantly positively correlated with body mass index, insulin, homeostasis model assessment of insulin resistance, and triglyceride and negatively correlated with high-density lipoprotein cholesterol. The risk of metabolic syndrome increased significantly with a higher WBC count, resulting in an adjusted odds ratio of 1.65 (per 10(3)/muL increase, P = .002). These findings demonstrate that metabolic syndrome is prevalent among nondiabetic PD patients and that WBC count is strongly associated with metabolic syndrome and its components.
authors.affiliation: Department of Internal Medicine, College of Medicine, Brain Korea 21 for Medical Science, Yonsei University, Seoul 120-752, Korea.
authors.forename: Jung Tak
authors.initials: JT
authors.lastname: Park
authors.forename: Tae Ik
authors.initials: TI
authors.lastname: Chang
authors.forename: Dong Ki
authors.initials: DK
authors.lastname: Kim
authors.forename: Hoon Young
authors.initials: HY
authors.lastname: Choi
authors.forename: Jung Eun
authors.initials: JE
authors.lastname: Lee
authors.forename: Hyun Wook
authors.initials: HW
authors.lastname: Kim
authors.forename: Jae Hyun
authors.initials: JH
authors.lastname: Chang
authors.forename: Sun Young
authors.initials: SY
authors.lastname: Park
authors.forename: Eunyoung
authors.initials: E
authors.lastname: Kim
authors.forename: Tae-Hyun
authors.initials: TH
authors.lastname: Yoo
authors.forename: Dae-Suk
authors.initials: DS
authors.lastname: Han
authors.forename: Shin-Wook
authors.initials: SW
authors.lastname: Kang
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000378:metabolism; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D015314:Dialysis Solutions / Q000378:metabolism; D005260:Female; D005947:Glucose / Q000378:metabolism; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D007676:Kidney Failure, Chronic / Q000097:blood* / Q000150:complications / Q000628:therapy; D007958:Leukocyte Count; D007962:Leukocytes / Q000502:physiology*; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000150:complications; D010530:Peritoneal Dialysis; D012372:ROC Curve
chemical_list: D001786:Blood Glucose; D015314:Dialysis Solutions; D007328:Insulin; D005947:Glucose