Comadoll SM, Liu B, Abbenhaus E, King JD, Jacobs CA, Aneja A, Hsu JR, Matuszewski PE. The synergistic effect of preoperative opioid use and many associated preoperative predictors of poor outcome in the trauma patient population.
Injury 2020;
51:919-923. [PMID:
32115210 DOI:
10.1016/j.injury.2020.02.114]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 02/19/2020] [Accepted: 02/21/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE
The purpose of this study is to investigate if preoperative opioid use is associated with other predictors of poor outcome and the effect of these factors on complications. We hypothesized that preoperative opioid use (POU) is associated with increased rates of postoperative complications.
DESIGN
Retrospective case control study.
SETTING
Academic level-1 trauma center.
PATIENTS/PARTICIPANTS
Patients with long bone, lower extremity fractures requiring operative fixation.
INTERVENTION
N/A.
MAIN OUTCOME MEASURES
Postoperative hospital admissions, emergency room (ER) visits, and reoperations.
RESULTS
399 patients (opioid naïve [ON] 80.2%, Age 38, 95% CI 35.9-39.6) were reviewed. Patients who had POU were older (P = 0.004), had higher BMI (P = 0.03), proportion of females (P < 0.001), tobacco use (P < 0.001), proportion of American Society of Anesthesiologist (ASA) class ≥ 3 (P < 0.001), and rates of substance use disorder (SUD) (P < 0.001). POU was associated with prolonged opiate use at 6 months (60.8%), 1 year (43.0%), higher rates of postoperative readmissions (18.1%), ER visits (17.2%), reoperations (17.5%), and complications (Odds Ratio [OR]: 2.4, P < 0.01). The risk of complication increased synergistically with the addition of other predictors: less than a high school education (OR: 4.6, P = 0.001); ASA class ≥3 (OR: 5.6, P < 0.001). All three factors combined also increased risk of complication synergistically (OR: 9.1, P = 0.003).
CONCLUSIONS
Our study demonstrates that many predictors of poor outcome frequently accompany POU. POU combined with many of these predictors synergistically increases the risk of complication. Outcomes-based payment models should reflect this expected rate of readmissions, ER visits and complications in this group. Patients with POU should be targeted with multi-disciplinary interventions aimed to modify these risk factors.
Collapse