German Trial Tests Machine Learning Algorithm to Predict Postoperative Pulmonary Complications — Early Detection Strategy for Perioperative Care
247 Health News Editorial
·13 May 2026
·3 min read
·clinical-trialsGerman 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.
Originally reported by ClinicalTrials.gov
References
- 1.Trautwein, B. (2023). PrEventing PostoPERative Pulmonary Complications by Establishing a MachINe-learning assisTed Approach [Clinical trial registration NCT05789953]. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT05789953
- 2.Fernandez-Bustamante, A., Frendl, G., Sprung, J., Kor, D. J., Subramaniam, B., Ruiz, R. M., ... & Vidal Melo, M. F. (2017). Postoperative pulmonary complications, early mortality, and hospital stay following noncardiothoracic surgery: a multicenter study by the perioperative research network investigators. JAMA Surgery, 152(2), 157-166. https://doi.org/10.1001/jamasurg.2017.1332
- 3.Miskovic, A., & Lumb, A. B. (2017). Postoperative pulmonary complications. British Journal of Anaesthesia, 118(3), 317-334. https://doi.org/10.1093/bja/aex002
- 4.Canet, J., Gallart, L., Gomar, C., Paluzie, G., Vallès, J., Castillo, J., ... & Mazo, V. (2010). Prediction of postoperative pulmonary complications in a population-based surgical cohort. Anesthesiology, 113(6), 1338-1350. https://doi.org/10.1097/ALN.0b013e3181fc6e0a
- 5.Mazo, V., Sabaté, S., Canet, J., Gallart, L., de Abreu, M. G., Belda, J., ... & Pelosi, P. (2014). Prospective external validation of a predictive score for postoperative pulmonary complications. Anesthesiology, 121(2), 219-231. https://doi.org/10.1097/ALN.0000000000000334
- 6.Serpa Neto, A., Hemmes, S. N., Barbas, C. S., Beiderlinden, M., Fernandez-Bustamante, A., Futier, E., ... & Schultz, M. J. (2014). Incidence of mortality and morbidity related to postoperative lung injury in patients who have undergone abdominal or thoracic surgery: a systematic review and meta-analysis. The Lancet Respiratory Medicine, 2(12), 1007-1015. https://doi.org/10.1016/S2213-2600(14)70228-0
- 7.Monastesse, A., Girard, F., Massicotte, N., Chartrand-Lefebvre, C., & Girard, M. (2017). Point-of-care lung ultrasound in the assessment of perioperative lung injury: an observational study. Canadian Journal of Anaesthesia, 64(9), 946-955. https://doi.org/10.1007/s12630-017-0917-0
2
247 Health News Editorial
247 Health News is a medical intelligence platform delivering evidence-based research appraisals, clinical trial monitoring, and health technology news for healthcare professionals.
Related Articles
clinical-trials
Digital Health Platform vs Case Manager Support in Hypertension Management: Taiwan's 1,726-Participant Trial Signals a Shift in Blood Pressure Care Delivery
3 Aug 2026
clinical-trials
Phase II Trial: AI-Powered Wysa Chatbot vs Unmet Need — Digital Eating Disorder Prevention in At-Risk Adolescents
3 Aug 2026
clinical-trials
Pilot Trial Targets the Inpatient-to-Outpatient Gap: Digital Smoking Cessation Intervention for Persons With Serious Mental Illness — Key Findings for Clinicians
3 Aug 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service