Narcotic Use Clinical Trial
Official title:
Traditional vs. Nonopioid Analgesia After Labral Surgery
This is a randomized, single blinded, standard of care controlled clinical trial. This project aims to compare postoperative pain control in patients in two treatment arms of rotator cuff repair: a treatment group given a nonopioid pain control regimen, and a standard of care control group given standard opioid pain control regimen
Study Design: This is a randomized, single blinded, standard of care-controlled clinical
trial. All adult patients over eighteen desiring rotator cuff repair will be eligible.
Nonnarcotic postoperative pain control regimen described below were chosen based on previous
studies in fracture care and joint arthroplasty.
Patients will be consented and recruited. Once participation has been determined and consent
obtained, the names of participating patients will be provided to the research pharmacy.
Patients will be randomized with a computer-generated table in 2 patient blocks by the
research pharmacy. Patients postoperative analgesia will be divided into one of the following
2 treatment arms: 1) A novel nonopioid pain protocol or 2) traditional narcotic pain
analgesia
Primary endpoints is reduction in pain as measured by VAS and PROMIS. The endpoints will be
collected at each post-operative day using a journal. Moreover, endpoints will be collected
at the patient's first post-operative appointment. These appointments are scheduled within
one-week of the index procedure.
Statistical Analysis: All continuous data will be analyzed using independent 2-group t tests
and reported as means ± standard deviations. Categorical data will be compared between the 2
groups using chi-square tests and reported as counts and percentages. A preliminary test to
confirm the quality of variances will be conducted prior to utilizing the t test to confirm
the appropriate statistical analysis. Nonparametric equivalents Wilcoxon rank-sum and Fisher
exact tests will be used as needed for nonnormal distributions and low variable numbers,
respectively. A multivariable regression analysis was performed to assess for potential
confounding demographic variables.
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