"Preoperative Gabapentin and Its Effects on Postoperative Analgesia in Patients Undergoing Cosmetic Breast Surgery"

HYPOTHESIS We hypothesize that a single dose of preoperative gabapentin will improve postoperative pain scores and decrease postoperative opioid requirements in our study population. This will be tested by administering a preoperative dose of 600mg of gabapentin and measuring pain scores and amount of opioid consumption during the postoperative period. The study will compare two groups. Participants will be randomly assigned to one of the two groups and will consist of a treatment group and a control group. We will measure pain scores in a simple 0-10 scale and amount of opioid consumption during the first 7 days after discharge and compare them with patients who did not receive preoperative gabapentin. Our aims are to determine if gabapentin improves postoperative analgesia and reduces postoperative opioid requirements in a population undergoing cosmetic breast surgery

METHODOLOGY AND STUDY DESIGN

This study will be a randomized control trial. Participants will be randomized and divided into treatment versus no treatment group. Treatment group will be administered a dose of 600mg of gabapentin within 2 hours of surgery. Amount of postoperative opioids will be measured for 7 days, post op pain scores will be measured twice daily for 7 days. This information will be collected via postoperative questionnaires.

STUDY SUBJECTS Participants will be adult, non pregnant patients older than 18 years undergoing cosmetic breast surgery at either Hospital Oncologico Isaac Gonzalez Martinez or Hospital UPR Federico Trilla. Participants will be selected during the initial clinic visit, there will be no specific recruiting strategies. Excluded populations include minors 18 years old or less as well as pregnant females due to health concerns. Participants will be explained in detail the goal and objectives of study along with risks vs benefits. The following HIPAA identifiers will be excluded: Geographical elements, fax numbers, social security numbers, health insurance beneficiary numbers, vehicle identifiers, digital identifiers, digital attributes, IP addresses, biometric elements and full face photographic images.

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