title: Patient-dependent variables affecting treatment and prediction of acute coronary syndrome are age-related. A study performed in Israel.
abstract: BACKGROUND
  Acute coronary syndrome (ACS) prevails in older patients and is associated with higher morbidity and mortality. Little is known about patient-related variables that may affect course and treatment of ACS in older vs. younger with acute chest pain.
  
  
  METHODS
  Situational, circumstantial, and other patient-related variables were assessed in 1000 unselected consecutive older (> or =70 years) and younger (<70 years) patients admitted with chest pain and possible ACS.
  
  
  RESULTS
  In 182 older vs. 818 younger patients, prevalence of females, those not speaking the local language, living alone, lower education level, non-smokers, diabetes, hypertension, preexisting coronary artery disease, and attempting some form of self-treatment before seeking medical help were significantly greater (P<0.001). Interval from chest pain onset to emergency department arrival was longer (P=0.05), and a higher proportion of the older considered hospitalization mandatory, suspecting ACS (P<0.001). ACS eventually developed in 19.1% of younger and 39% of older patients (P<0.001). On multivariate analysis, most predictive of ACS in the younger group were: preexisting coronary artery disease (OR 5.27; 95% CI 3.44-8.07, P<0.001), current smoking (OR 1.78; 95% CI 1.16-2.75, P=0.002), male sex (OR 1.57; 95% CI 1.0-2.59, P=0.07), and older age (OR 1.25; 95% CI 1.11-1.42, P=0.005). In the older group, these were: not speaking the local language (OR 2.39; 95% CI 1.19-4.79, P=0.005), preexisting coronary artery disease (OR 1.95; 95% CI 1.0-3.87, P=0.026), direct emergency department arrival (OR 1.9; 95% CI 1.0-3.77, P=0.066), and diabetes (OR 1.84; 95% CI 1.0-3.56, P=0.079).
  
  
  CONCLUSIONS
  We defined age-associated differences in patient-related variables that may predict ACS and affect treatment negatively. These variables might improve risk stratification upon hospitalization.
authors.affiliation: Department of Internal Medicine F, Assaf Harofeh Medical Center, Zerifin, Affiliated to the Sackler School of Medicine, Tel-Aviv University, Ramat Aviv, Israel.
authors.forename: Oleg
authors.initials: O
authors.lastname: Gorelik
authors.forename: Dorit
authors.initials: D
authors.lastname: Almoznino-Sarafian
authors.forename: Israel
authors.initials: I
authors.lastname: Yarovoi
authors.forename: Irena
authors.initials: I
authors.lastname: Alon
authors.forename: Miriam
authors.initials: M
authors.lastname: Shteinshnaider
authors.forename: Irma
authors.initials: I
authors.lastname: Tzur
authors.forename: David
authors.initials: D
authors.lastname: Modai
authors.forename: Natan
authors.initials: N
authors.lastname: Cohen
mesh_terms: D000208:Acute Disease; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003327:Coronary Disease / Q000191:economics / Q000453:epidemiology / Q000628:therapy; D005260:Female; D006801:Humans; D007557:Israel / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000191:economics / Q000453:epidemiology* / Q000628:therapy*; D011237:Predictive Value of Tests; D012737:Sex Factors; D012959:Socioeconomic Factors; D016896:Treatment Outcome