title: Eosinophil count is positively correlated with albumin excretion rate in men with type 2 diabetes.
abstract: OBJECTIVE
  Patients with allergic disorders such as allergic rhinitis or asthma have been reported to be at increased risk for atherosclerosis. In this study, we evaluated the relationships between peripheral eosinophil count and degree of albumin excretion rate, which is a useful marker of cardiovascular mortality as well as diabetic nephropathy in patients with type 2 diabetes.
  
  
  METHODS
  We evaluated relationships of peripheral eosinophil count to degree of albumin excretion rate as well as to major cardiovascular risk factors, including age, BP, serum lipid concentration, and glycemic control (glycosylated hemoglobin); body mass index; current treatment for diabetes; smoking status; and presence of cardiovascular disease in 783 patients (416 men and 367 women) with type 2 diabetes.
  
  
  RESULTS
  Log(eosinophil count) was positively associated with systolic BP (r = 0.124, P = 0.0108), serum triglyceride concentration (r = 0.108, P = 0.0284), and log(albumin excretion rate) (r = 0.301, P < 0.0001) in men; however, no association was found between log(eosinophil count) and log(albumin excretion rate) (r = 0.085, P = 0.1050) in women. Multivariate linear regression analysis demonstrated that log(eosinophil count) (beta = 0.260, P < 0.0001), duration of diabetes (beta = 0.203, P = 0.0003), glycosylated hemoglobin (beta = 0.117, P = 0.0238), systolic BP (beta = 0.205, P = 0.0001), and serum triglyceride concentration (beta = 0.162, P = 0.0038) were independent determinants of log(albumin excretion rate) in men.
  
  
  CONCLUSIONS
  Allergic disorders may be associated with microalbuminuria in men with type 2 diabetes.
authors.affiliation: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. sayarinapm@hotmail.com
authors.forename: Michiaki
authors.initials: M
authors.lastname: Fukui
authors.forename: Muhei
authors.initials: M
authors.lastname: Tanaka
authors.forename: Masahide
authors.initials: M
authors.lastname: Hamaguchi
authors.forename: Takafumi
authors.initials: T
authors.lastname: Senmaru
authors.forename: Kazumi
authors.initials: K
authors.lastname: Sakabe
authors.forename: Emi
authors.initials: E
authors.lastname: Shiraishi
authors.forename: Ichiko
authors.initials: I
authors.lastname: Harusato
authors.forename: Masahiro
authors.initials: M
authors.lastname: Yamazaki
authors.forename: Goji
authors.initials: G
authors.lastname: Hasegawa
authors.forename: Naoto
authors.initials: N
authors.lastname: Nakamura
mesh_terms: D000368:Aged; D000419:Albuminuria / Q000453:epidemiology* / Q000276:immunology; D015415:Biomarkers; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology* / Q000276:immunology; D003928:Diabetic Nephropathies / Q000453:epidemiology* / Q000276:immunology; D004804:Eosinophils / Q000166:cytology*; D005260:Female; D006801:Humans; D006967:Hypersensitivity / Q000453:epidemiology* / Q000276:immunology; D007958:Leukocyte Count; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012307:Risk Factors
chemical_list: D015415:Biomarkers