Predictors of Postoperative Pain

NCT ID: NCT02996994

Last Updated: 2023-08-31

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 364 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2016-12-31
• Study Completion Date: 2017-10-31

Brief Summary

This is a retrospective chart review using TriHealth Electronic Privacy Identification Center (EPIC) and previously developed databases for TriHealth Institutional Review Board (IRB) approved research studies within the Division of Urogynecology and Reconstructive Pelvic Surgery to determine the predictors of postoperative pain specific to the urogynecologic patient population.

Detailed Description

Postoperative pain remains the most important consideration for both patients and surgeons. Therefore, there has been much attention brought toward investigating predictive factors of postoperative pain. A systematic review of 48 eligible studies with 23,037 patients showed preexisting pain, anxiety, age, and type of surgery are the four most significant predictive factors for the intensity of postoperative pain. However, this paper evaluated all types of surgical approaches. More recently, a prospective observational study showed that preoperative State Trait Anxiety Inventory (STAI) and Numerical Rating Scales (NRS) for anxiety and pain expectations are independent predictors of pain and morphine consumption following abdominal hysterectomy. To date, little is known about the predictive factors of postoperative pain in the urogynecologic patient population.

The purpose of this study is to determine the predictors of postoperative pain specific to the urogynecologic patient population. We aim to investigate the relationship between perioperative factors (such as demographics and medical history) and postoperative pain scores on postoperative day 1 with patients who have undergone urogynecologic surgery, specifically vaginal reconstruction for pelvic organ prolapse.

This information would not only fill a gap in knowledge, but would also allow us to counsel our patients more accurately in regards to postoperative expectations. Furthermore, if we find any positive correlation between modifiable perioperative factors and postoperative pain scores, we may be able to minimize these effects in future surgical cases.

Conditions

Postoperative Pain

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: RETROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Participant in one of six research studies previously performed by the Division of Urogynecology and Pelvic Reconstructive Surgery (#13090, #13072, #12136, #12132, #10072, or #09001)
• Postoperative pain scoring data complete and available
• Vaginal reconstructive surgery as primary treatment
• General anesthesia

Exclusion Criteria

• Incomplete or unavailable postoperative pain scoring
• Robotic sacrocolpopexy patients will be excluded

• Minimum Eligible Age: 18 Years
• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: No

Sponsors

TriHealth Inc.

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Rachel Pauls, MD

Role: PRINCIPAL_INVESTIGATOR

TriHealth - Cincinnati Urogynecology Associates

References

Ip HY, Abrishami A, Peng PW, Wong J, Chung F. Predictors of postoperative pain and analgesic consumption: a qualitative systematic review. Anesthesiology. 2009 Sep;111(3):657-77. doi: 10.1097/ALN.0b013e3181aae87a.

Reference Type: BACKGROUND

PMID: 19672167 (View on PubMed)

Aouad MT, Kanazi GE, Malek K, Tamim H, Zahreddine L, Kaddoum RN. Predictors of postoperative pain and analgesic requirements following abdominal hysterectomy: an observational study. J Anesth. 2016 Feb;30(1):72-9. doi: 10.1007/s00540-015-2090-0. Epub 2015 Oct 24.

Reference Type: BACKGROUND

PMID: 26499321 (View on PubMed)

Shatkin-Margolis A, Crisp CC, Morrison C, Pauls RN. Predicting Pain Levels Following Vaginal Reconstructive Surgery: Who Is at Highest Risk? Female Pelvic Med Reconstr Surg. 2018 Mar/Apr;24(2):172-175. doi: 10.1097/SPV.0000000000000522.

Reference Type: DERIVED

PMID: 29474293 (View on PubMed)

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

16-093

Identifier Type: -

Identifier Source: org_study_id