title: Admission with metabolic disorder is a useful predictor of the 1-year prognosis for patients with unstable angina, but not for patients with acute myocardial infarction: east-Osaka acute coronary syndrome registry.
abstract: BACKGROUND
  For patients with acute myocardial infarction (AMI), several studies have examined the relationship between the metabolic syndrome and prognostic outcome. However, few studies have revealed an association between the metabolic syndrome and clinical outcomes in patients with unstable angina (UA). This study compared the differences in the usefulness of recognizing metabolic disorders for the prediction of a 1-year prognosis in patients with UA and AMI.
  
  
  METHODS
  The study cohort consisted of 1173 patients with a mean age of 67 years. The focus was on general prognostic factors and five metabolic disorders (body mass index; hypertension; blood glucose/diabetes mellitus; and, serum concentrations of triglycerides and high-density lipoprotein cholesterol) at the time of admission.
  
  
  RESULTS
  According to multivariate logistic regression analysis, metabolic scores on admission positively related to 1-year mortality or major adverse cardiovascular events (MACE) for patients with UA, but not for those with AMI, with an increase in either all-causes mortality or MACE being associated with the degree of metabolic dysfunction. No other general prognostic factors were related to either 1-year mortality or MACE in patients with UA. By contrast, general prognostic factors such as age and the Killip classification had a positive effect on 1-year mortality or on MACE for the patients with AMI.
  
  
  CONCLUSIONS
  Accumulation of the effects of each metabolic disorder may affect mortality and MACE for patients with UA.
authors.affiliation: Yao Municipal Hospital, Osaka, Japan. hoshidas@city.yao.osaka.jp
authors.forename: Shiro
authors.initials: S
authors.lastname: Hoshida
authors.forename: Masakazu
authors.initials: M
authors.lastname: Teragaki
authors.forename: Young-Jae
authors.initials: YJ
authors.lastname: Lim
authors.forename: Masayoshi
authors.initials: M
authors.lastname: Mishima
authors.forename: Osamu
authors.initials: O
authors.lastname: Nakajima
authors.forename: Yoshiyuki
authors.initials: Y
authors.lastname: Kijima
authors.forename: Kiyomichi
authors.initials: K
authors.lastname: Yoshimaru
authors.forename: Masayuki
authors.initials: M
authors.lastname: Tsuchihashi
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Morita
authors.forename: Toshiji
authors.initials: T
authors.lastname: Iwasaka
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000789:Angina, Unstable / Q000097:blood / Q000453:epidemiology* / Q000401:mortality / Q000503:physiopathology; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D016009:Chi-Square Distribution; D008076:Cholesterol, HDL / Q000097:blood; D003920:Diabetes Mellitus / Q000097:blood / Q000453:epidemiology; D050171:Dyslipidemias / Q000097:blood / Q000453:epidemiology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D007564:Japan / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000145:classification / Q000453:epidemiology* / Q000401:mortality / Q000503:physiopathology; D008875:Middle Aged; D009203:Myocardial Infarction / Q000097:blood / Q000453:epidemiology* / Q000401:mortality / Q000503:physiopathology; D009765:Obesity / Q000453:epidemiology / Q000503:physiopathology; D010343:Patient Admission; D011379:Prognosis; D011446:Prospective Studies; D012042:Registries; D018570:Risk Assessment; D012307:Risk Factors; D013997:Time Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides