Machine Learning for Predicting Spinal Anesthesia Duration

Recruiting now

Conditions studied: Spinal Anesthesia, Machine Learning, Knee Arthroplasty, Total, Spinal Anesthesia Duration, Postoperative Care, Postoperative Acute Pain

In brief

Spinal anesthesia provides significant advantages over general anesthesia in knee arthroplasty, including reduced blood loss, faster recovery, and fewer complications. However, predicting its duration is critical for patient safety and effective postoperative management. This study evaluates the usability of machine learning (ML) algorithms to predict the termination time of spinal anesthesia and the patient's readiness for mobilization. Using demographic, surgical, and anesthetic variables, ML models were trained to estimate anesthesia duration. Accurate predictions may improve intraoperative planning, optimize postoperative care, and enhance patient outcomes. Integrating ML-based predictive systems into anesthesia practice can contribute to safer, more efficient, and personalized perioperative management.

Key facts

Study ID

NCT07256548

Run by

Kocaeli City Hospital

People needed

140

Starts

2025-10-31

Expected to finish

2026-03-01

Last updated by the study team

2025-12-08

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients scheduled to undergo total knee arthroplasty between November 2025 and March 2026 at the Kocaeli City Hospital Operating Theaters.
• Patients who have provided written informed consent to participate in the study.
• Patients whose surgery is planned under spinal anesthesia.
• Patients for whom complete clinical data can be obtained during the study period.
• Adults aged 18 years or older, classified as American Society of Anesthesiologist's (ASA) Physical Status I or II.

You may not qualify if…

• Patients who were converted to general anesthesia during surgery or initially operated under general anesthesia.
• Patients who required postoperative intensive care unit (ICU) admission following anesthesia.
• Patients who developed surgical complications and for whom postoperative mobilization could not be planned.
• Patients with cognitive impairment preventing them from completing pain assessment scales in the postoperative period.
• Patients with neuropathic pain, multiple sclerosis, or other neuromotor disorders will be excluded from the study.

Where it is running

• Kocaeli City Hospital — Kocaeli, İzmit, Turkey (Türkiye) (enrolling)

Full record on ClinicalTrials.gov

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