Literature DB >> 19501862

Association of white blood cell count with metabolic syndrome in patients undergoing peritoneal dialysis.

Jung Tak Park1, Tae Ik Chang, Dong Ki Kim, Hoon Young Choi, Jung Eun Lee, Hyun Wook Kim, Jae Hyun Chang, Sun Young Park, Eunyoung Kim, Tae-Hyun Yoo, Dae-Suk Han, Shin-Wook Kang.   

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.

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Year:  2009        PMID: 19501862     DOI: 10.1016/j.metabol.2009.05.002

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  6 in total

Review 1.  Metabolic syndrome and chronic kidney disease: Current status and future directions.

Authors:  G V Ramesh Prasad
Journal:  World J Nephrol       Date:  2014-11-06

2.  Comparison of Inflammatory Markers in the Diagnosis of Metabolic Syndrome in Hemodialysis Patients: A Multicenter Observational Study.

Authors:  Yinjiao Zhao; Hui Zhang; Peiyu Song; Xiaoyu Chen; Peipei Han; Chenghu Fang; Chen Yu; Qi Guo
Journal:  Diabetes Metab Syndr Obes       Date:  2022-07-04       Impact factor: 3.249

3.  Associations between serum-intact parathyroid hormone, serum 25-hydroxyvitamin D, oral vitamin D analogs and metabolic syndrome in peritoneal dialysis patients: a multi-center cross-sectional study.

Authors:  Jie Dong; Qin Wang; Meng-Hua Chen; Hui-Ping Zhao; Tong-Ying Zhu; Na Tian; Mei Wang; Chuan-Ming Hao; Ye-Ping Ren; Hai-Yan Wang
Journal:  Perit Dial Int       Date:  2014-02-04       Impact factor: 1.756

4.  A routine biomarker-based risk prediction model for metabolic syndrome in urban Han Chinese population.

Authors:  Wenchao Zhang; Qicai Chen; Zhongshang Yuan; Jing Liu; Zhaohui Du; Fang Tang; Hongying Jia; Fuzhong Xue; Chengqi Zhang
Journal:  BMC Public Health       Date:  2015-01-31       Impact factor: 3.295

5.  Platelet cloaking of circulating tumour cells in patients with metastatic prostate cancer: Results from ExPeCT, a randomised controlled trial.

Authors:  Lauren Brady; Brian Hayes; Gráinne Sheill; Anne-Marie Baird; Emer Guinan; Bryan Stanfill; Tatjana Vlajnic; Orla Casey; Verena Murphy; John Greene; Emma H Allott; Juliette Hussey; Fidelma Cahill; Mieke Van Hemelrijck; Nicola Peat; Lorelei Mucci; Moya Cunningham; Liam Grogan; Thomas Lynch; Rustom P Manecksha; John McCaffrey; Dearbhaile O'Donnell; Orla Sheils; John O'Leary; Sarah Rudman; Ray McDermott; Stephen Finn
Journal:  PLoS One       Date:  2020-12-18       Impact factor: 3.240

6.  Association between leukocyte and metabolic syndrome in urban Han Chinese: a longitudinal cohort study.

Authors:  Wenjia Meng; Chengqi Zhang; Qian Zhang; Xinhong Song; Haiyan Lin; Dongzhi Zhang; Yongyuan Zhang; Zhenxin Zhu; Shuo Wu; Yanxun Liu; Fang Tang; Xiaowei Yang; Fuzhong Xue
Journal:  PLoS One       Date:  2012-11-27       Impact factor: 3.240

  6 in total

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