Pharmacist-Integrated Early Screening for Postoperative Complications in Pediatric Cardiac Surgery: Evidence Synthesis and Derivation of the Pediatric Early Complication Score

Main Article Content

Weerapong Chidnok
Jiratchaya Wienghirun
Chaiyapat Lin
Prayuth Poowaruttanawiwit

Keywords

pediatric cardiac surgery, postoperative complications, risk prediction, cardiopulmonary bypass, clinical pharmacist

Abstract

Background: Early postoperative complications remain a major determinant of morbidity and mortality in pediatric cardiac surgery despite improved survival. Conventional risk systems such as RACHS and RASCH focus on procedural complexity and mortality rather than real-time complication prediction Objectives: This systematic review and meta-analysis aimed to quantify the pooled incidence and predictors of early postoperative complications and to derive a concise, evidence-based Pediatric Early Complication Score (PECS) to support early screening and pharmacist-integrated care. Methods: Eligible studies enrolled patients <18 years undergoing congenital heart surgery and reported extractable complication incidences or predictor-adjusted effects. Data were pooled using random-effects meta-analysis with prespecified thresholds (e.g., cardiopulmonary bypass [CPB] ≥120 minutes, C-reactive protein [CRP] >118 mg/L). Internal validity was reinforced by preregistration, standardized definitions, duplicate assessment, adjusted-effect preference, and ROBINS-I/RoB2 risk-of-bias tools. Results: Across 13 observational studies (n≈25,000) and two randomized trials, higher operative complexity (RACHS 3–6 or RASCH-2 ≥4), prolonged CPB exposure, neonatal age (≤60 days), and elevated CRP/D-dimer were consistently associated with approximately threefold higher early-complication risk (pooled adjusted effect ≈2.8, 95% CI 2.03–3.88, I²≈23%). These reproducible predictors were transformed into integer points (4, 2, 2, 2, 1 respectively) to form the PECS, which stratifies patients into low (0–3), moderate (4–6), and high (≥7) risk tiers via a logistic probability link. Conclusions: The PECS offers a transparent, internally valid, and clinically tractable bedside tool integrating surgical complexity, CPB duration, age, and inflammatory response to predict early postoperative complications. Its pragmatic design supports pharmacist-led, prevention-focused care and warrants multicenter calibration and external validation.  

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References

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