Lung Ultrasound Nomogram for Postoperative Pulmonary Complications

A nomogram integrating bedside lung ultrasound scores and clinical parameters predicts postoperative pulmonary complications in blunt chest trauma patients. The model was developed from a prospective observational study of 374 patients undergoing extremity or pelvic fracture surgery. Author Xiaorui Han published this research via figshare in April 2026.

Use Cases

• Validate the nomogram's predictive performance using its reported area under the ROC curve of 0.932.
• Assess model calibration by examining the calibration curve results described in the study.
• Analyze the clinical utility of the predictive model using the decision curve analysis (DCA) outcomes.
• Study the relationship between key predictors like lung ultrasound score, number of rib fractures, and complication incidence (26.73%).

Strengths

• Model demonstrated excellent discriminative ability with an AUC of 0.932.
• Dataset includes 374 patient records from a prospective observational study design.
• Incorporates six specific predictors: ASA class, COPD, recent respiratory infection, pneumothorax, lung ultrasound score, and rib fracture count.

Limitations

• Dataset scope is limited to 17.3 KB, containing the research paper and nomogram, not the raw patient data.
• Patient cohort is from a single hospital in China, limiting geographic generalizability.
• Sample size of 374 patients may be insufficient for highly granular subgroup analyses.

Provenance

Source

figshare, authored by Xiaorui Han.

Collection Method

Prospective observational study at a first 3A-grade hospital in China.

Time Range

Study period not specified; publication date is 2026.

Freshness

Last updated April 2026.

Geography

Single hospital in China.