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BMC Anesthesiology· 2026Q2

Risk factors and predictive value of lung ultrasound aeration score for postoperative pulmonary complications in pediatric patients undergoing abdominal tumor resection: a prospective observational study

Jie Guo, Li-Quan Huang, Zhi-Xiang Yu, Ting-Xuan Yan et al.

Short summary

In pediatric patients undergoing abdominal tumor resection, a higher Post-Anesthesia Care Unit Lung Ultrasound Aeration Score (LUSS) predicts postoperative pulmonary complications (PPCs), with an AUC of 0.80 for LUSS alone and 0.88 when combined with ASA classification, recent URI, and ventilation duration.

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Key points

  • Postoperative pulmonary complications (PPCs) occurred in 60.98% of pediatric patients undergoing abdominal tumor resection.
  • Independent risk factors for PPCs included ASA classification, recent URI, duration of mechanical ventilation, and PACU LUSS.
  • PACU LUSS alone predicted PPCs with an AUC of 0.80.
  • A combined model of LUSS and the other three risk factors achieved a higher AUC of 0.88.
  • The combined model demonstrated strong calibration and clinical utility.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Background Postoperative pulmonary complications (PPCs) constitute a leading source of perioperative morbidity in children undergoing abdominal malignant tumor resection. However, the risk factors of PPCs in this specific pediatric population remains unclear, and effective predictive tools are lacking. This study aimed to identify the risk factors for PPCs and evaluate the predictive value of the post-anesthesia care unit (PACU) lung ultrasound aeration score (LUSS). Methods This single-center prospective observational study was conducted at a tertiary cancer center in China. Pediatric patients aged 1–18 years scheduled for abdominal malignant tumor resection were enrolled between January 2025 and January 2026. Perioperative clinical data and PACU LUSS measurements were collected. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for PPCs. Receiver operating characteristic (ROC) curve analysis, calibration analysis, and decision curve analysis (DCA) were adopted to quantify the predictive performance of relevant indicators. Results The overall incidence of PPCs was 60.98% (150/246). Multivariate logistic regression analysis confirmed that American Society of Anesthesiologists (ASA) classification (OR = 3.60, 95% CI = 1.77–7.34, P < 0.001), recent resolved upper respiratory tract infection (URI) (OR = 4.71, 95% CI = 1.84–12.08, P = 0.001), duration of mechanical ventilation (OR = 1.01, 95% CI = 1.01–1.01, P = 0.002), and PACU LUSS (OR = 1.29, 95% CI = 1.17–1.42, P < 0.001) were independent risk factors for PPCs. ROC curve analysis revealed that PACU LUSS alone exhibited favorable predictive efficacy for PPCs, with an area under the ROC curve (AUC) of 0.80. A combined predictive model integrating LUSS and the other three independent risk factors yielded an elevated AUC of 0.88. Calibration curves demonstrated strong consistency between predicted and actual PPCs risks, and DCA verified satisfactory clinical utility and net clinical benefit of the combined model. Conclusions PPCs are highly prevalent in pediatric patients undergoing abdominal malignant tumor resection. Higher ASA classification, recent resolved URI, prolonged duration of mechanical ventilation, and elevated PACU LUSS may be associated with an increased risk of PPCs. As a non-invasive bedside assessment tool, PACU LUSS may provide useful predictive information and could potentially assist with perioperative risk stratification and targeted prevention of PPCs in this vulnerable pediatric population.

The authors' abstract, as published at the source. BMC Anesthesiology, 2026 · DOI ↗

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Field: Critical Care and Intensive Care Medicine

Critical Care and Intensive Care MedicineMedicine