RecruitingNCT05789953

PrEventing PostoPERative Pulmonary Complications by Establishing a MachINe-learning assisTed Approach

Sponsor: Britta Trautwein

Trial Details

Condition	Postoperative Pulmonary Complications
Status	Recruiting
Participants	512
Est. Completion	1 Sept 2026
Last Updated	8 May 2026

Primary Outcome

Number of patients with postoperative pulmonary complications (POPC)

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * adult patients * elective, surgical procedure * general anaesthesia Exclusion Criteria: * patients younger than 18 years of age * outpatient surgery * postoperative admission to intensive care unit

Trial Sites

Countries

Germany

View Registry Entry

Related Analysis

German Trial Tests Machine Learning Algorithm to Predict Postoperative Pulmonary Complications — Early Detection Strategy for Perioperative Care

German researchers are testing a machine learning algorithm to predict postoperative pulmonary complications before they become clinically apparent. The PEPPERMINT trial combines routine clinical data with bedside ultrasound to identify high-risk surgical patients.

Read full article →

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