NCT07256548

Brief 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.

Trial Health

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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
140

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Oct 2025

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 31, 2025

Completed
20 days until next milestone

First Submitted

Initial submission to the registry

November 20, 2025

Completed
11 days until next milestone

First Posted

Study publicly available on registry

December 1, 2025

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 14, 2026

Completed
15 days until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2026

Completed
Last Updated

December 8, 2025

Status Verified

December 1, 2025

Enrollment Period

4 months

First QC Date

November 20, 2025

Last Update Submit

December 1, 2025

Conditions

Keywords

spinal anesthesiamachine learningKnee arthroplastyspinal anesthesia durationAcute postoperative pain

Outcome Measures

Primary Outcomes (1)

  • Predictive performance of machine learning

    The primary outcome of this study is the predictive performance of machine learning (ML) algorithms in estimating the duration of spinal anesthesia (in minutes) based on preoperative and intraoperative variables. in: R² (Coefficient of Determination). Dimensionless (no unit)

    From the end of intrathecal injection (T₀) to complete motor recovery (T_end), expected within 6 hours post-injection.

Secondary Outcomes (2)

  • spinal anesthesia termination time

    From the end of intrathecal injection (T₀) to complete motor recovery (T_end), expected within 6 hours post-injection.

  • Visual Analogue Scale

    From the end of intrathecal injection (T₀) to complete motor recovery (T_end), expected within 6 hours post-injection.

Study Arms (1)

Knee Arthroplasty Group

The group of patients who will undergo knee replacement surgery under spinal anesthesia

Procedure: Spinal Anesthesia (bupivacaine)

Interventions

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

Knee Arthroplasty Group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

This study will include adult patients undergoing elective total knee arthroplasty (TKA) under spinal anesthesia at Kocaeli City Hospital Operating Theaters between November 2025 and March 2026. All participants will receive spinal anesthesia using 0.5% hyperbaric bupivacaine, and intraoperative monitoring will be conducted in accordance with institutional anesthesia standards. The study population represents a homogeneous surgical group in which spinal anesthesia is routinely applied, allowing for standardized anesthesia protocols and reliable measurement of anesthesia duration. Eligible patients will be classified as ASA Physical Status I or II and aged 18 years or older.

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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Kocaeli City Hospital

Kocaeli, İzmit, 41000, Turkey (Türkiye)

RECRUITING

Related Publications (5)

  • Bellini V, Russo M, Domenichetti T, Panizzi M, Allai S, Bignami EG. Artificial Intelligence in Operating Room Management. J Med Syst. 2024 Feb 14;48(1):19. doi: 10.1007/s10916-024-02038-2.

    PMID: 38353755BACKGROUND
  • Cao Y, Wang Y, Liu H, Wu L. Artificial intelligence revolutionizing anesthesia management: advances and prospects in intelligent anesthesia technology. Front Med (Lausanne). 2025 Aug 6;12:1571725. doi: 10.3389/fmed.2025.1571725. eCollection 2025.

    PMID: 40842529BACKGROUND
  • Magdic Turkovic T, Sabo G, Babic S, Sostaric S. SPINAL ANESTHESIA IN DAY SURGERY - EARLY EXPERIENCES. Acta Clin Croat. 2022 Sep;61(Suppl 2):160-164. doi: 10.20471/acc.2022.61.s2.22.

    PMID: 36824644BACKGROUND
  • Boublik J, Gupta R, Bhar S, Atchabahian A. Prilocaine spinal anesthesia for ambulatory surgery: A review of the available studies. Anaesth Crit Care Pain Med. 2016 Dec;35(6):417-421. doi: 10.1016/j.accpm.2016.03.005. Epub 2016 Jun 21.

    PMID: 27352633BACKGROUND
  • Schubert AK, Wiesmann T, Wulf H, Dinges HC. Spinal anesthesia in ambulatory surgery. Best Pract Res Clin Anaesthesiol. 2023 Jun;37(2):109-121. doi: 10.1016/j.bpa.2023.04.002. Epub 2023 Apr 15.

    PMID: 37321760BACKGROUND

MeSH Terms

Conditions

Pain, Postoperative

Interventions

Anesthesia, SpinalBupivacaine

Condition Hierarchy (Ancestors)

Postoperative ComplicationsPathologic ProcessesPathological Conditions, Signs and SymptomsPainNeurologic ManifestationsSigns and Symptoms

Intervention Hierarchy (Ancestors)

Anesthesia, ConductionAnesthesiaAnesthesia and AnalgesiaAnilidesAmidesOrganic ChemicalsAniline CompoundsAmines

Study Officials

  • Ahmet Yüksek, MD

    Kocaeli City Hospital

    STUDY DIRECTOR

Central Study Contacts

Sıddık Varolgüneş, MD

CONTACT

Ahmet Yüksek, MD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
MD

Study Record Dates

First Submitted

November 20, 2025

First Posted

December 1, 2025

Study Start

October 31, 2025

Primary Completion

February 14, 2026

Study Completion

March 1, 2026

Last Updated

December 8, 2025

Record last verified: 2025-12

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