Table 2

Univariate and multivariate analyses for the association between baseline characteristics and having newly diagnosed diabetes among young patients with AMI without established diabetes

Baseline characteristicsUnivariateMultivariate*
OR with 95% CIP valueOR with 95% CIP value
Sociodemographics
 Age in years (mean)1.03 (1.01 to 1.04)0.0031.02 (1.00 to 1.04)0.018
 Race Others vs White1.53 (1.22 to 1.93)0.0011.58 (1.23 to 2.03)0.0003
Cardiometabolic risks
 Obesity yes vs no1.91 (1.57 to 2.33)<0.00011.72 (1.39 to 2.12)<0.0001
 Initial glucose, median (IQR)1.01 (1.01 to 1.01)<0.00011.01 (1.00 to 1.01)0.0004
 Peak glucose, median (IQR)1.01 (1.00 to 1.01)<0.00011.00 (1.00 to 1.01)0.012
 Initial systolic blood pressure (mm Hg), median (IQR)1.01 (1.00 to 1.01)0.004Not selected
 Initial diastolic blood pressure (mm Hg), median (IQR)1.01 (1.00 to 1.01)0.006Not selected
 Triglyceride (mmol/L), median (IQR)1.00 (1.00 to 1.002)0.002Not selected
CVD risk factors
 Family history of CVD1.33 (1.06 to 1.66)0.0121.30 (1.03 to 1.65)0.028
Other comorbidities
 History of renal dysfunction1.62 (1.17 to 2.24)0.004Not selected
 History of heart failure2.01 (1.07 to 3.76)0.029Not selected
AMI treatment during hospitalisation
 Diagnostic angiography2.83 (1.47 to 5.45)0.0022.68 (1.37 to 5.26)0.004
 Beta-blocker prescribed1.83 (1.01 to 3.29)0.045Not selected
 ACE or ARB prescribed1.28 (1.03 to 1.59)0.027Not selected
Clinical characteristics of AMI
 Initial heart rate, median (IQR)1.01 (1.00 to 1.01)0.009Not selected
Self-reported socioeconomic status
 Without health insurance vs with1.34 (1.06 to 1.69)0.014Not selected
 Avoided services due to cost (Yes vs no)1.50 (1.22 to 1.85)0.00011.27 (1.02 to 1.58)0.034
 Have you not taken a medication that your doctor prescribed because of cost?
 Always or sometimes (vs rarely to never)1.37 (1.07 to 1.75)0.013Not selected
  • P value numbers in bold denote statistical significance at the p<0.05 level.

  • *The adjusted ORs, 95% CIs and p values were estimated from a multiple logistic regression model with the use of backward elimination (All variables left in the final model were significant at the 0.05 level).