Evaluating Risk Factors and the Burden of Silent Myocardial Ischemia Among Diabetic Patients.

INTRODUCTION

Silent myocardial ischemia (SMI) is a significant concern for diabetic patients, often remaining undetected until severe complications arise. Prolonged hyperglycemia, poor glycemic control, and lifestyle factors contribute to its risk, with older adults and those with long-standing diabetes particularly vulnerable.

OBJECTIVE

To assess the prevalence and predictors of SMI in adults with diabetes, emphasizing long-term management and monitoring.

METHODOLOGY

A longitudinal observational study was conducted at Nishtar Medical University, Multan, from October 2020 to September 2022, involving 388 adults with diabetes for at least five years. Patients with significant cardiovascular diseases or recent medication-affecting biomarkers were excluded. Data collection included demographics, medical history, and clinical assessments such as HbA1c levels, 12-lead resting ECGs, and treadmill exercise stress tests, with myocardial perfusion imaging (MPI) for those unable to perform stress tests. Statistical analyses using IBM SPSS (version 22) incorporated univariate and multivariate logistic regression to identify predictors of SMI, adjusting for confounders such as age, sex, smoking, and blood pressure. Thresholds included microalbuminuria at 30-300 mg/24 hours and HbA1c ≥7%, with missing data addressed through multiple imputations.

RESULTS

Among the participants, the prevalence of SMI was 48%, increasing to 58% in those with microalbuminuria. Significant predictors included the duration of diabetes (OR 1.28, 95% CI: 1.08-1.52, p=0.001), HbA1c levels (OR 1.75, 95% CI: 1.42-2.16, p<0.001), age (OR 1.05, 95% CI: 1.01-1.09, p=0.035), and smoking status (OR 1.42, 95% CI: 1.05-1.92, p=0.025). Smoking status was based on self-report. Notably, microalbuminuria showed a strong association with SMI (OR 2.89, 95% CI: 2.10-3.98, p<0.001). The distribution of participants was balanced in terms of age and gender, with a mean age of 58 years (SD 9.4), and 52% were male. No unexpected findings were observed, and the results aligned with the anticipated relationships between the variables.

CONCLUSION

This study highlights a concerning prevalence of SMI among diabetic patients, emphasizing the importance of monitoring diabetes duration and glycemic control, particularly in individuals with microalbuminuria. Regular follow-up care, including routine ECGs, stress tests, and biomarker assessments, is crucial for improving cardiovascular outcomes in this high-risk population. Limitations such as the observational design and potential self-report bias in smoking status may affect the generalizability of the findings. Future research should focus on large-scale, multicenter studies to validate these findings and explore interventions that could reduce the burden of SMI in diabetic patients.