ActiveNCT05471882

Development and Validation of a Machine Learning Algorithm for Prediction of Complete Neuromuscular Recovery in Adult Surgical Patients

Sponsor: University Hospital Ulm

Trial Details

Condition	Residual Paralysis, Post Anesthesia, Postoperative Complications, Neuromuscular Blockade, Quantitative Neuromuscular Monitoring
Status	Active
Participants	240,000
Est. Completion	1 Sept 2026
Last Updated	7 May 2026

Primary Outcome

complete neuromuscular recovery

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Adult patients (≥18 years) undergoing non-cardiac surgery receiving general anesthesia with intraoperative neuromuscular blocking agent administration and available TOF data. Exclusion Criteria: * none

Trial Sites

Countries

Germany

View Registry Entry

Related Analysis

PINES Study: Machine Learning Algorithm Development for Predicting Neuromuscular Recovery in 240,000 Surgical Patients

The PINES study is developing a machine learning algorithm to predict neuromuscular recovery in 240,000 surgical patients. This research could revolutionise perioperative care by enabling personalised neuromuscular blockade management and reducing residual paralysis complications.

Read full article →

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