Therapeutic Advances in Urology (Mar 2022)

Major adverse cardiovascular events following partial nephrectomy: a procedure-specific risk index

  • Ali A. Nasrallah,
  • Habib A. Dakik,
  • Nassib F. Abou Heidar,
  • Jad A. Najdi,
  • Oussama G. Nasrallah,
  • Mazen Mansour,
  • Hani Tamim,
  • Albert El Hajj

DOI
https://doi.org/10.1177/17562872221084847
Journal volume & issue
Vol. 14

Abstract

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Introduction: Partial nephrectomy (PN) is associated with a non-negligible risk of postoperative cardiovascular morbidity and mortality. Identification of high-risk patients may enable optimization of perioperative management and consideration of alternative approaches. The authors aim to develop a procedure-specific cardiovascular risk index for PN patients and compare its performance to the widely used revised cardiac risk index (RCRI) and AUB-HAS2 cardiovascular risk index. Methods: The cohort was derived from the American College of Surgeons – National Surgical Quality Improvement Program (ACS-NSQIP) database. The primary outcome was the incidence of major adverse cardiovascular events (MACE), defined as 30-day postoperative incidence of myocardial infarction, stroke, or mortality. A multivariate logistic regression model was constructed; performance and calibration were evaluated using an ROC analysis and the Hosmer–Lemeshow test and compared to the RCRI and the AUB-HAS2 index. Results: In a cohort of 4795 patients, MACE occurred in 52 (1.1%) patients. A univariate analysis yielded 13 eligible variables for entry into the multivariate model. The final PN-A 4 CH model utilized six variables: A ge ⩾75 years, A SA class >2, A nemia, surgical A pproach, C reatinine >1.5, and history of H eart disease. Index ROC analysis provided a C-statistic of 0.81, calibration R 2 was 0.99, and sensitivity was 85%. In comparison, the RCRI and AUB-HAS2 C-statistics were 0.59 and 0.68, respectively. Conclusion: This study proposes a novel procedure-specific cardiovascular risk index. The PN-A 4 CH index demonstrated good predictive ability and excellent calibration using a large national database and may enable further individualization of patient care and optimization of patient selection.