Personalizing Perioperative Analgesia in Children

Sponsor
Senthilkumar Sadhasivam (Other)
Overall Status
Recruiting
CT.gov ID
NCT01140724
Collaborator
Children's Hospital Medical Center, Cincinnati (Other), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH)
1,200
2
184
600
3.3

Study Details

Study Description

Brief Summary

In the United States alone, each year approximately 5 million children undergo painful surgery, many of them experience serious side-effects with opioids and inadequate pain relief. Safe and effective analgesia is an important unmet critical medical need in children and its continued existence is an important perioperative safety and economic problem. Inadequate pain relief and serious side effects from perioperative opioids occur frequently in up to 50% of children. Morphine, the most commonly used perioperative opioid, has a narrow therapeutic index and large inter-patient variations in analgesic response and serious side effects. Frequent inter-individual variations in responses to morphine have significant clinical and economic impact with inadequate pain relief at one end of the spectrum of responses and serious adverse effects such as respiratory depression at the other end. Much of the inter-individual variability in response to a dose of morphine following surgical procedures can be explained by single nucleotide polymorphisms (SNPs) in a subset of the genes that encode proteins involved in pain mechanisms and opioid pathway.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    Measures and Procedures: Participants will receive standard care, standard anesthetic and an intraoperative dose of morphine per the clinical team.

    Research procedures will include:
    1. Blood draws for genotyping candidate genes and exploratory genes

    2. Standardized PACU (post anesthesia care unit) Protocol: Subjective pain assessments: Numerical Rating Scale (NRS) 0 to 10. Objective assessment with FLACC (facial expression; leg movement; activity; cry; and consolability) scale, 0-10.

    3. Significant postoperative pain will be managed in the PACU with rescue doses of morphine and opioids by the clinical team. Analgesic interventions and morphine requirements are collected

    4. Effects of opioids on pupil measures

    5. Respiratory response to 5% carbon dioxide preoperatively and postoperatively (first 350 patients only). Another measure of end tidal carbon dioxide will be implemented when the device is clinically available.

    6. Serial blood draws for morphine pharmacokinetic modeling (through subject #351).

    7. Opioid adverse effects in PACU and at home.

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    1200 participants
    Observational Model:
    Other
    Time Perspective:
    Prospective
    Official Title:
    Predicting Perioperative Opioid Adverse Effects and Personalizing Analgesia in Children
    Study Start Date :
    Apr 1, 2008
    Anticipated Primary Completion Date :
    Aug 1, 2022
    Anticipated Study Completion Date :
    Aug 1, 2023

    Outcome Measures

    Primary Outcome Measures

    1. Look at polymorphisms in genes that regulate pain perception, opioid transport and opioid receptor signaling to see if there is a higher susceptibility to pain and morphine requirement. [After tonsillectomy surgery (duration of post anesthesia care unit stay)]

      Look at polymorphisms in genes that regulate pain perception, opioid transport and opioid receptor signaling to see if there is a relationship to more pain and need for a higher morphine requirement.

    Secondary Outcome Measures

    1. Evaluate relationship of pupil reaction and response to 5% carbon dioxide to adverse effects of morphine [After tonsillectomy surgery (duration of post anesthesia care unit stay)]

    Other Outcome Measures

    1. Evaluate contribution of polymorphisms in genes to variability in codeine response in children with CYP2D6 genotypes predictive of extensive metabolizer or ultra-extensive metabolizer phenotypes [During tonsilectomies]

      Evaluate contribution of polymorphisms in genes that regulate pain perception, opioid transport and opioid receptor signaling to variability in codeine response in children with CYP2D6 genotypes predictive of extensive metabolizer or ultra-extensive metabolizer phenotypes

    2. Evaluate whether machine learning techniques can be used to predict pain response, opioid responses and morphine usage requirements in patients [After tonsilectomy surgery data collection]

      Evaluate whether machine learning techniques can be used to predict pain response, opioid responses and morphine usage requirements in patients solely using information extracted from the medical record as well as in combination with other genetic information

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    6 Years to 15 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • boys and girls,

    • 6-15 years of age,

    • all races,

    • American Society of Anesthesiologists (ASA) physical status 1 and 2,

    • children with history of significant snoring suggestive of obstructive sleep apnea (OSA.)

    Exclusion Criteria:
    • allergic to study medications

    • developmental delay,

    • liver and renal diseases,

    • preoperative pain requiring analgesics,

    • children who have problems with pupil or pupillary reaction due to disease

    • preoperative medications influencing pupillary size

    • non-English speaking participants and families

    • Body Mass Index ≥30

    • Participants undergoing additional procedures during surgery

    • Children with certain cardiac conditions

    • Children with severe lung disease

    • Children with a history of seizures currently treated on medication

    • Children with psychiatric/psychological conditions for which patient currently takes medication

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Riley Hospital for Children Indianapolis Indiana United States 46202
    2 Cincinnati Children's Hospital Medical Center Cincinnati Ohio United States 45229

    Sponsors and Collaborators

    • Senthilkumar Sadhasivam
    • Children's Hospital Medical Center, Cincinnati
    • Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

    Investigators

    • Principal Investigator: Senthilkumar Sadhasivam, MD, MPH, Indiana University

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Senthilkumar Sadhasivam, Professor, University of Pittsburgh
    ClinicalTrials.gov Identifier:
    NCT01140724
    Other Study ID Numbers:
    • 1707325115
    • 7R01HD089458-02
    First Posted:
    Jun 9, 2010
    Last Update Posted:
    Feb 3, 2022
    Last Verified:
    Jan 1, 2022
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Keywords provided by Senthilkumar Sadhasivam, Professor, University of Pittsburgh
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Feb 3, 2022