Abstract

Reliable, clinic-friendly screening for Chronic postsurgical pain (CPSP) risk is unavailable. Within a prospective, observational study, we evaluated Pediatric Pain Screening Tool (PPST), a concise 9-item questionnaire, as a preoperative screening tool to identify those at higher risk for CPSP (Numerical Rating Scale > 3/10 beyond 3 months post-surgery) and poor function (disability/Functional Disability Inventory [FDI]/quality of life/ Pediatric Quality of Life) after spine fusion and Nuss procedures. Incidence of CPSP was 34.86% (38/109). We confirmed PPST scale stability, test re-test reliability (ICC = 0.68; P< .001); PPST measures were positively correlated with known CPSP risk factors (P< .001) preoperative pain (Pearson or Spearman Correlation Coefficient [SCC]:0.672), Child anxiety sensitivity index (SCC:0.357), Patient Related Outcome Measures Information System pain interference (SCC:0.569), Patient Related Outcome Measures Information System depression (SCC:0.501), Pediatric Quality of Life (SCC:-0.460) and insomnia severity index (SCC0.567). Preoperative PPST and PPST physical sub-scores (median(IQR) were higher in CPSP (2[0.5,4], 1[0,2]) compared to non-CPSP (1[0,3], 0[0,1.5]) groups (P= .026, P= .029) respectively. PPST scores/sub-scores positively correlated with higher FDI at 6 months but only PPST total and PPST psychosocial subscore correlated with higher FDI at 12 months. Based on ROC, optimal PPST cutoff for CPSP was 2 (63.9% sensitivity, 64.7% specificity). CPSP risk was high (48.94% risk) if PPST ≥ 2 (n = 47) and medium (22.81%) if PPST < 2 (n = 57) after spine/pectus surgery. General and risk-strata specific, targeted psychosocial non-pharmacological interventions, need to be studied. Findings need validation in diverse, larger cohorts.NCT02998138.The article supports Pediatric Pain Screening Tool, a simple 9-item questionnaire, as a preoperative screening tool for CPSP and function 6-12 months after spine/pectus surgeries. PPST measures correlate with known risk factors for CPSP. Risk stratification and targeted preventive interventions in high-risk subjects are proposed.

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