title: The importance of sensitive screening for abnormal glucose metabolism in patients with IgA nephropathy.
abstract: OBJECTIVE
  To investigate the prevalence of abnormal glucose metabolism, insulin resistance (IR) and the related risk factors in IgA nephropathy (IgAN) patients.
  
  
  METHODS
  We analyzed oral glucose tolerance test (OGTT) and clinical data of 107 IgAN patients and 106 healthy controls. Glucose metabolism, homeostasis model assessment of insulin resistance (HOMA-IR) and the insulin sensitivity index (ISI) of both groups were evaluated.
  
  
  RESULTS
  The prevalence of abnormal glucose metabolism was significantly higher in the IgAN group than in the control group (41.12% vs. 9.43%, p < 0.001), while the prevalence of IR between the two groups was not significantly different. IgAN patients have significantly higher fasting blood glucose, fasting insulin, OGTT 2-hour blood glucose, OGTT 2-hour insulin, HOMA-IR, and lower ISI than healthy controls. Triglyceride (OR = 2.55), 24-hour urine protein excretion (OR = 1.39), and age (OR = 1.06) were independent risk factors for abnormal glucose metabolism in IgAN patients. BMI, eGFR, 24-hour urine protein excretion, triglyceride, fasting blood glucose, fasting insulin, OGTT 2-hour blood glucose, and OGTT 2-hour insulin were significantly higher in IgAN patients with IR than in IgAN patients without IR, while HDL and ISI were significantly lower. BMI, serum albumin, and 24-hour urine protein excretion were correlated factors of IR in IgAN patients.
  
  
  CONCLUSIONS
  Our study highlighted that abnormal glucose metabolism was common in IgAN patients. Triglyceride and 24-hour urine protein excretion were significant risk factors for abnormal glucose metabolism. Therefore, sensitive screening for glucose metabolism status and timely intervention should be carried out in clinical work.
authors.forename: Xiaoyuan
authors.initials: X
authors.lastname: Jia
authors.forename: Xiaoxia
authors.initials: X
authors.lastname: Pan
authors.forename: Jingyuan
authors.initials: J
authors.lastname: Xie
authors.forename: Pingyan
authors.initials: P
authors.lastname: Shen
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Wang
authors.forename: Ya
authors.initials: Y
authors.lastname: Li
authors.forename: Weiming
authors.initials: W
authors.lastname: Wang
authors.forename: Nan
authors.initials: N
authors.lastname: Chen
mesh_terms: D000328:Adult; D000367:Age Factors; D001786:Blood Glucose / Q000378:metabolism*; D016022:Case-Control Studies; D005215:Fasting; D005260:Female; D005919:Glomerular Filtration Rate; D005922:Glomerulonephritis, IGA / Q000097:blood* / Q000150:complications / Q000503:physiopathology; D044882:Glucose Metabolism Disorders / Q000097:blood* / Q000175:diagnosis / Q000453:epidemiology*; D005951:Glucose Tolerance Test; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D008075:Lipoproteins, HDL / Q000097:blood; D008297:Male; D008875:Middle Aged; D010550:Personal Space; D015995:Prevalence; D011507:Proteinuria / Q000652:urine; D012307:Risk Factors; D012709:Serum Albumin / Q000378:metabolism; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D007328:Insulin; D008075:Lipoproteins, HDL; D012709:Serum Albumin; D014280:Triglycerides