RecruitingNCT07256548

Machine Learning for Predicting Spinal Anesthesia Duration

Comparative Evaluation of Machine Learning Algorithms for Predicting Spinal Anesthesia Termination Time

Sponsor

Kocaeli City Hospital

Enrollment

140 participants

Start Date

Oct 31, 2025

Study Type

OBSERVATIONAL

Conditions

Knee Arthroplasty, Total Spinal Anesthesia Machine Learning Postoperative Care Spinal Anesthesia Duration

Summary

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.

Eligibility

Min Age: 18 Years

Inclusion Criteria5

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.

Exclusion Criteria5

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.

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Interventions

PROCEDURESpinal Anesthesia (bupivacaine)

Before being placed on the operating table, the patient is positioned comfortably and prepared for the procedure. Standardized monitoring is initiated, including five-lead electrocardiography (ECG), non-invasive blood pressure (NIBP), and pulse oximetry (SpO₂). Baseline measurements of heart rate, systolic and diastolic blood pressure, mean arterial pressure (MAP), and oxygen saturation are recorded. An 18- or 20-gauge intravenous line is inserted, and an appropriate crystalloid preload is administered. After ensuring aseptic conditions, the patient is positioned in the sitting posture, and spinal puncture is performed at the L3-L4 or L4-L5 intervertebral space using a 25 Gauge Whitacre needle. Following free flow of cerebrospinal fluid, 0.5% hyperbaric bupivacaine (10-15 mg) is slowly injected. The completion of the injection is