CompletedPhase 4

An Integrated Artificial Intelligence Approach for Predicting Analgesic Time Based on Nalbuphine Versus Morphine as Adjuvants to Bupivacaine in Ultrasound-Guided Supraclavicular Block

Egypt60 participantsStarted 2024-01-01

Plain-language summary

This study investigated the effect of adding nalbuphine or morphine to bupivacaine for supraclavicular brachial plexus block in upper limb surgeries. Sixty adult patients were randomized into three groups: control (bupivacaine + saline), nalbuphine, and morphine. The primary objective was to compare the duration of analgesia between the groups. A secondary goal was to assess whether artificial intelligence (AI), specifically the k-nearest neighbor (KNN) algorithm, could predict analgesic duration based on patient clinical and demographic data. The study concluded that both nalbuphine and morphine significantly prolonged analgesic duration and that the AI model showed high predictive accuracy.

Who can participate

Age range21 Years – 60 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: Adult patients aged 21-60 years ASA physical status I or II Scheduled for elective upper limb surgery below the elbow Provided written

What they're measuring

Analgesic Duration

Timeframe: From block administration to first request for postoperative analgesia (up to 24 hours)

Trial details

NCT IDNCT07008443

SponsorAlzahraa Ahmed Abbas

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2025-04-01

View on ClinicalTrials.gov More Regional Anesthesia Block trials