Literature DB >> 27645611

Associations among Serum Beta 2 Microglobulin, Malnutrition, Inflammation, and Advanced Cardiovascular Event in Patients with Chronic Kidney Disease.

Hung-Chieh Wu1, Lin-Chien Lee2, Wei-Jie Wang3.   

Abstract

OBJECTIVES: This study examines the associations among serum β2 microglobulin (B2M), malnutrition, inflammation, and atherosclerosis (MIA) in those with chronic kidney disease (CKD).
METHODS: CKD patients who were followed in Taoyuan General Hospital from 2009 to 2015 were enrolled. Demographic and biochemical data, including B2M and C-reactive protein (CRP) were reviewed. The participants were stratified according to B2M tertiles. Adjusted hazard ratios (AHRs) and cumulative survival curves for death and MIA syndrome were evaluated by Cox hazard model and Kaplan-Meier method. We also calculated the area under the curve for the receiver operating characteristic curve (AUROC).
RESULTS: From a total of 312 CKD patients, mean follow-up time was 39.7 months. Compared to those with lowest tertile of B2M, the highest tertile group had lower serum albumin, hemoglobin, and estimated glomerular filtration rate. After multivariate adjustment, the associations among tertiles of B2M, death or dialysis, cardiovascular events (CVEs), and MIA syndrome remained significant. The AHRs for the highest tertile group in death or dialysis, CVEs, and MIA syndrome were 25.91 and 65.84 and 152.50(all Ps <0.05).The AUROC for B2M in death or dialysis, CVEs, and MIA syndrome were greater than that for creatinine. The best cut-off value of B2M for predicting death or dialysis, CVEs, and MIA syndrome were 5.39 mg/dL(sensitivity: 67.1%, specificity 62.5%), 4.21 mg/dL(sensitivity: 85.1%, specificity 52.1%), and 5.40 mg/dL(sensitivity: 79.7%, specificity 64.1%).
CONCLUSIONS: In those with CKD, serum B2M was more sensitive than creatinine in predicting CVEs and MIA syndrome.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  C-reactive protein; MIA syndrome; Mortality; cardiovascular event; β2 microglobulin

Mesh:

Substances:

Year:  2016        PMID: 27645611      PMCID: PMC6817072          DOI: 10.1002/jcla.22056

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


  31 in total

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