Accuracy of Preoperative Cardiac Risk Calculators in Transurethral Prostate Surgery

Abstract

Introduction:

The Revised Cardiac Risk Index (RCRI) and the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) are well-recognized tools to predict 30-day postoperative cardiac events in noncardiac surgeries. However, their predictive accuracy is yet to be assessed in minimally invasive transurethral prostate surgery. We compared the RCRI- and NSQIP-predicted postoperative cardiac outcomes with the actual incidence of cardiac events after transurethral prostate surgery.

Methods:

We conducted a retrospective review of patients who underwent transurethral prostate surgery between July and December of 2022. We assessed for postoperative cardiac events within 30 days, as defined by the seminal cardiac VISION study. The RCRI and NSQIP cardiac event predictions were calculated. Fisher’s exact test was used for analysis.

Results:

We included 185 patients with an average age of 73 ± 8.4 (standard deviation) years, 86 of whom (46%) had transurethral resection of the prostate, and 99 underwent Holmium Laser Enucleation of the Prostate (54%). Myocardial injury after noncardiac surgery surveillance was needed for 34 patients (18.4%) as per standard practice. No patient had any intraoperative cardiac events. One patient experienced a nonfatal postoperative cardiac event (asystole) within hours of surgery. The 30-day cardiac event prediction by the RCRI was 4.8% of the patient cohort (n ≈ 9), significantly higher than the observed incidence of 0.5% (p = 0.0198). NSQIP predicted that 0.54% of the patient cohort (n = 1) will have a cardiac complication within 30 days, which is not significantly different from the observed cardiac event incidence (p = 1).

Conclusion:

The RCRI significantly overestimated the 30-day cardiac risk after transurethral prostate surgery, whereas NSQIP predictions and the observed rate of cardiac events were similar. Utilizing more representative predictive tools helps improve risk stratification and will allow patients and surgeons to make better-informed decisions.