详细记录  
题名:Homeostatic model assessment indices in evaluation of insulin resistance and secretion in hemodialysis patients.
作者:NIEMCZYK S; SZAMOTULSKA K; GIERS K; JASIK M; BARTOSZEWICZ Z; ROMEJKO-CIEPIELEWSKA K; PAKLERSKA E; GOMOLKA M; MATUSZKIEWICZ-ROWINSKA J;
来源:Med Sci Monit. 2013 Jul 19;19:592-8. doi: 10.12659/MSM.883978. [ IF= 0.00 ] ]
URL :10.12659/MSM.883978
日期:20130830
摘要:BACKGROUND: Some previous observations suggest that insulin resistance and
glucose metabolism disturbances are frequent complications of chronic kidney
disease. However, there are no conclusive studies on other indices of the
effectiveness of insulin action in end-stage renal disease (ESRD) patients,
including chronically hemodialysed (HD) ones. MATERIAL AND METHODS: The groups
comprised 33 non-diabetic ESRD hemodialysed patients and 33 healthy controls
matched for age, sex, and body mass index (BMI). In both groups, HOMA-%B,
HOMA-%S, HOMA-IR indices, and DI were calculated using HOMA1 and HOMA2 as
measures of insulin resistance. The indices were also assessed in subgroups
divided according to BMI. RESULTS: Mean fasting plasma glucose concentrations
were lower in ESRD patients than in healthy persons (82.4+/-10.4 vs. 93.9+/-11.6,
p=0.001). Fasting serum insulin concentrations were similar in both groups
(median 6.8 vs. 6.0 mU/l, p=0.698). HOMA1-%B values were higher in ESRD patients
than controls (median 137.1 vs. 81.6, p=0.002). HOMA1-%S (median 75.6 vs. 71.5)
and HOMA1-IR (median 1.3 vs. 1.4) values were not significantly different
(p=0.264 and p=0.189, respectively). DI1 levels were higher for HD patients than
for healthy subjects (median 1.16 vs. 0.53, p<0.001). In subgroup analysis, all
statistically significant differences were restricted mainly to persons with BMI
<25 kg/m2. Similar results as for the HOMA1 model were obtained for HOMA2.
CONCLUSIONS: 1. HOMA beta-cell function is strongly correlated with HOMA insulin
resistance in HD patients. 2. In non-diabetic ESRD hemodialysed patients, the
HOMA indices and DI may be useful and important models in interpretation of
glucose metabolism disturbances.

================  评  论  部  分=================

重要性:
分类:(参照 Faculty of 1000 的分类体系)


评语:

评论密码:   返回前页  [全部]