# Prediction of Postoperative Pulmonary Complications in Thoracic Surgery

> **NCT07359885** · — · NOT_YET_RECRUITING · sponsor: **University Hospital, Rouen** · enrollment: 100 (estimated)

## Conditions studied

- Postoperative Pulmonary Complications (PPCs)

## Interventions

- **DIAGNOSTIC_TEST:** Evaluation of prognostic performance of a defined score using a machine learning method (STABL: Stability Selection) integrating immune data (cytometric and proteomic)

## Key facts

- **NCT ID:** NCT07359885
- **Lead sponsor:** University Hospital, Rouen
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-06-01
- **Primary completion:** 2028-09-01
- **Final completion:** 2029-03-01
- **Target enrollment:** 100 (ESTIMATED)
- **Last updated:** 2026-01-22


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07359885

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07359885, "Prediction of Postoperative Pulmonary Complications in Thoracic Surgery". Retrieved via AI Analytics 2026-07-19 from https://api.ai-analytics.org/clinical/NCT07359885. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*