Study Reveals New Tool for Predicting Lung Complications in Children After Thoracic Surgery

Understanding Pediatric Risks: Why This Matters

Children undergoing thoracic surgery face unique challenges, especially when one-lung ventilation (OLV) is required. Unlike adults, pediatric patients have distinct respiratory physiology—more compliant chest walls, smaller airways, and immature immune systems—which make them more susceptible to postoperative pulmonary complications (PPCs). Until now, clinicians have lacked a reliable, child-specific tool to predict which young patients are at highest risk.

Building the Nomogram: How the Study Was Designed

A research team from Hunan Children’s Hospital in China set out to address this gap. They analyzed data from 361 pediatric patients who underwent thoracic surgery with OLV between 2019 and 2023. The participants were randomly divided into training (80%) and validation (20%) cohorts. Researchers collected 31 clinical and perioperative variables, including demographic data, lab values, and intraoperative details.

Using advanced statistical techniques—namely the least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression—they distilled these down to the four most predictive factors for PPCs. These factors were then integrated into a nomogram—a graphical risk prediction tool.

Four Key Predictors: What Clinicians Should Watch

The study identified four easily measurable predictors of PPC risk in children:

Preoperative neutrophil-to-lymphocyte ratio (NLR): An established marker of systemic inflammation.

Maximum peak airway pressure (Ppeak) during OLV: Indicates dynamic compliance and potential for lung injury.

Minimum oxygenation index (OI) during OLV: Reflects the severity of lung function impairment.

Intraoperative ventilation mode: Use of pressure control ventilation-volume guaranteed (PCV-VG) was associated with lower PPC rates compared to other modes.

Model Performance: High Accuracy, Practical Use

The resulting nomogram demonstrated impressive predictive power, with a concordance index (C-index) of 0.909 in the training cohort and 0.871 in the validation cohort—indicating excellent discrimination. Calibration plots confirmed that predicted risks closely matched actual outcomes.

Clinicians can now use this tool to rapidly assess a child's risk of PPCs after thoracic surgery, enabling earlier interventions and potentially better outcomes.

Limitations and Future Directions

The study was retrospective and conducted at a single center, which may limit generalizability. Additionally, it only captured complications within 72 hours post-surgery, leaving late-onset PPCs unexamined. The authors recommend future multicenter studies and longer follow-up periods to strengthen and expand the model’s applicability.

Key Takeaways

A nomogram based on four perioperative factors accurately predicts PPC risk in children after thoracic surgery with OLV.

Key predictors: preoperative NLR, maximum Ppeak during OLV, minimum OI during OLV, and ventilation mode.

The tool enables early identification of high-risk children and targeted interventions.

PCV-VG mode is associated with fewer complications than alternative ventilation strategies.

Larger, multicenter studies are needed to validate and extend these findings.

Citation:

Wang L, Xiao T, Du Z, Chen T, Pei D, Qu S. Development and validation of a nomogram to pediatric postoperative pulmonary complications following thoracic surgery. BMC Anesthesiology. 2025;25:255. https://doi.org/10.1186/s12871-025-03122-x