Ultrasound predictors of adductor canal block success after knee replacement

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study investigates ultrasound-derived factors, such as tissue depth and injectate spread, to predict the effectiveness of adductor canal blocks for postoperative analgesia after unilateral total knee arthroplasty performed under spinal anesthesia. The aim is to identify imaging characteristics that correlate with reduced need for rescue opioids and better pain control. Eligible participants are adults undergoing elective primary unilateral TKA with ASA I-III. The study analyzes block performance using ultrasound guidance and follows postoperative analgesia outcomes to determine predictive value.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age ≥18 years
* Scheduled for elective primary unilateral total knee arthroplasty under spinal anesthesia
* American Society of Anesthesiologists (ASA) physical status I-III

Exclusion Criteria:

* Daily opioid use or chronic pain syndrome
* Diabetic or other clinically diagnosed peripheral neuropathy
* Coagulopathy
* Infection at the injection site
* Known allergy or hypersensitivity to local anesthetics
* Revision total knee arthroplasty
* Conversion from spinal anesthesia to general anesthesia during surgery
* General anesthesia as the planned anesthetic technique

Where it's running

• Konya City Hospital
  Konya, Konya, Turkey (Türkiye) Recruiting

Study contacts

• Study coordinator: Ömer Keklicek, Principal Investigator
• Email: drokeklicek@gmail.com
• Phone: +905399291702

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.