Prognostic utility of a risk prediction model for predischarge major residual lesions or unplanned reinterventions following congenital mitral valve repair

J Thorac Cardiovasc Surg. 2024 Oct;168(4):1192-1202.e8. doi: 10.1016/j.jtcvs.2023.11.024. Epub 2023 Nov 22.

Abstract

Objective: We sought to develop a risk prediction model for predischarge major mitral valve (MV) residual lesions or unplanned MV reinterventions following congenital MV repair.

Methods: Patients who underwent congenital MV repair (excluding primary repair, but including secondary repair, of canal-type defects) at a single institution from January 2000 to December 2020 and survived to discharge were retrospectively reviewed. The primary outcome was major MV residua (mean gradient >6 mm Hg or moderate or greater regurgitation on the discharge echocardiogram) or predischarge unplanned MV reintervention. Risk factors of interest included age, single-ventricle physiology, preoperative and intraoperative postrepair MV stenosis and regurgitation severity, MV annular diameter z score, systemic ventricle ejection fraction, unfavorable anatomy, concomitant left-heart procedure, and various technique-related categories. Logistic regression was used to develop a weighted risk score for the primary outcome. Internal validation using bootstrap-resampling was performed.

Results: Of 866 patients who underwent congenital MV repair at a median age of 2.7 years (interquartile range, 0.7-9.1 years), 202 (23.3%) patients developed the primary outcome. The final risk prediction model had a C-statistic of 0.82 (95% confidence interval, 0.78-0.85). A weighted risk score was formulated per the variables in this model. The median risk score was 8 (interquartile range, 6-11) points. Patients were categorized as low (score 0-5), medium (score 6-10), high (score 11-15), or very high (score ≥16) risk. The probability of the primary outcome was 5.0 ± 1.7%, 15.2 ± 6.7%, 45.9 ± 12.6%, and 76.7 ± 8.8% for low-, medium-, high-, and very-high-risk patients, respectively.

Conclusions: Our risk prediction model may guide prognostication of patients following congenital MV repair.

Keywords: atrioventricular; outcomes; pediatric; quality; regurgitation; stenosis; surgery.

MeSH terms

  • Cardiac Surgical Procedures / adverse effects
  • Child
  • Child, Preschool
  • Decision Support Techniques
  • Female
  • Heart Defects, Congenital / surgery
  • Humans
  • Infant
  • Male
  • Mitral Valve Insufficiency* / diagnostic imaging
  • Mitral Valve Insufficiency* / physiopathology
  • Mitral Valve Insufficiency* / surgery
  • Mitral Valve Stenosis / congenital
  • Mitral Valve Stenosis / diagnostic imaging
  • Mitral Valve Stenosis / physiopathology
  • Mitral Valve Stenosis / surgery
  • Mitral Valve* / diagnostic imaging
  • Mitral Valve* / physiopathology
  • Mitral Valve* / surgery
  • Predictive Value of Tests
  • Reoperation / statistics & numerical data
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Treatment Outcome