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

Phase 4
Completed
Conditions
Regional Anesthesia Block
Upper Limb Surgery
Interventions
Registration Number
NCT07008443
Lead Sponsor
Alzahraa Ahmed Abbas
Brief 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.

Detailed Description

This prospective, randomized, double-blind clinical trial was conducted at Al-Zahraa and Damietta University Hospitals to evaluate the effectiveness of nalbuphine and morphine as adjuvants to bupivacaine in ultrasound-guided supraclavicular brachial plexus block. Sixty ASA I-II adult patients scheduled for upper limb surgeries were enrolled and divided equally into three groups. Group C received 0.5% bupivacaine with saline; Group N received bupivacaine with nalbuphine (50 μg/kg); Group M received bupivacaine with morphine (50 μg/kg). The primary outcome was analgesic duration, measured from block performance until the first request for postoperative analgesia. Secondary outcomes included onset and duration of sensory and motor block, total postoperative analgesic consumption, pain scores, and complications.

In parallel, a machine learning model using the K-Nearest Neighbor (KNN) algorithm was developed to predict analgesic duration from demographic and hemodynamic parameters. Exploratory data analysis and clustering methods confirmed the complex relationship between variables. The KNN model demonstrated high predictive accuracy (correlation coefficient \~0.95). The study concluded that both adjuvants extended analgesic duration and that AI models can assist in personalizing analgesic strategies based on patient profiles.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
60
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

Exclusion Criteria

Not provided

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Morphine Group (Bupivacaine + Morphine)Bupivacaine + morphineParticipants received 25 ml of 0.5% bupivacaine plus morphine at 50 µg/kg via ultrasound-guided supraclavicular brachial plexus block.
Control Group (Bupivacaine + Saline)Bupivacaine + salineParticipants received 25 ml of 0.5% bupivacaine plus 5 ml of normal saline via ultrasound-guided supraclavicular brachial plexus block.
Nalbuphine Group (Bupivacaine + Nalbuphine)Bupivacaine + nalbuphineParticipants received 25 ml of 0.5% bupivacaine plus nalbuphine at 50 µg/kg via ultrasound-guided supraclavicular brachial plexus block
Primary Outcome Measures
NameTimeMethod
Analgesic DurationFrom block administration to first request for postoperative analgesia (up to 24 hours)

Duration of analgesia measured in hours from the time of performing the supraclavicular brachial plexus block until the patient's first request for postoperative pain relief.

Secondary Outcome Measures
NameTimeMethod
Total Postoperative Analgesic ConsumptionWithin 24 hours postoperatively

Total amount (in grams) of paracetamol administered as rescue analgesia during the first 24 hours postoperatively.

Trial Locations

Locations (1)

Al-Zahraa University Hospital

🇪🇬

Cairo, Alexandria, Egypt

Al-Zahraa University Hospital
🇪🇬Cairo, Alexandria, Egypt

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