Evaluating the Impact of Psychiatric Disorders on Preoperative Pain Ratings, Narcotics Use, and the PROMIS-29 Quality Domains in Spine Surgery Candidates

摘要

Objective We aimed to study the relationship between psychiatric Disorders (PD), preoperative pain, and opioid medication intake, as well as the quality of life patient-reported outcome measures using the Patient-Reported Outcomes Measurement Information System 29 (PROMIS-29) questionnaire, during the 30-day interval preceding surgery, in a consecutive series of patients who were scheduled to undergo surgical spine procedures. We hypothesized that PD could affect preoperative narcotic use and pain interference in a fashion that was not linearly associated with preoperative pain in spine surgery candidates. Methods The records of consecutive adult patients who underwent elective spinal surgery between October 2016 and August 2017 at a single institution were reviewed. We included patients who underwent preoperative pain assessment within 30 days prior to their planned surgery using the PROMIS-29 questionnaire. Patients with PD were compared to controls. Results A total of 117 patients matched our criteria. The average rating of pain intensity was notably higher in the PD group as compared to controls (p=0.004). The PD group had more patients complaining of high pain levels (6) as compared to the control group (p=0.026). Controls with high pain levels had a greater incidence of preoperative narcotic use as compared to the low-pain cohort (p=0.029). However, there was no difference in the actual dose of daily narcotic medication taken between the PD and control groups (P=0.099)?or between the low- and high pain score groups in the control (p=0.291) and PD (p=0.441) groups, respectively. Patients with PD and higher pain ratings seemed to have a higher incidence of anxiety (p=0.005) and depression (p0.001). That was not the case for controls. Conclusions PDs may impact the degree of preoperative pain interference and the intake of narcotic medication independently from pain intensity ratings.