The brief measure of preoperative emotional stress screens preoperative maladaptive psychological features and predicts postoperative opioid use: an observational study

Abstract

Background:

The Brief Measure of Preoperative Emotional Stress (B-MEPS) is a suitable screening tool for Preoperative Emotional Stress (PES). However, personalized decision-making demands practical interpretation of the refined version of B-MEPS. Thus, we propose and validate cut-off points on the B-MEPS to classify PES. Also, we assessed if the cut-off points screened preoperative maladaptive psychological features and predicted postoperative opioid use.

Methods:

This observational study comprises samples of two other primary studies, with 1009 and 233 individuals, respectively. The latent class analysis derived emotional stress subgroups using B-MEPS items. We compared membership with the B-MEPS score through the Youden index. Concurrent criterion validity of the cut-off points was performed with the severity of preoperative depressive symptoms, pain catastrophizing, central sensitization, and sleep quality. Predictive criterion validity was performed with opioid use after surgery.

Results:

We chose a model with three classes labeled mild, moderate, and severe. The Youden index points −0.1663 and 0.7614 of the B-MEPS score classify individuals, in the severe class, with a sensitivity of 85.7% (80.1%–90.3%) and specificity of 93.5% (91.5–95.1%). The cut-off points of the B-MEPS score have satisfactory concurrent and predictive criterion validity.

Conclusions:

These findings showed that the preoperative emotional stress index on the B-MEPS offers suitable sensitivity and specificity for discriminating the severity of preoperative psychological stress. They provide a simple tool to identify patients prone to severe PES related to maladaptive psychological features, which might influence the perception of pain and analgesic opioid use in the postoperative period.

KEYWORDS
Acute pain; Catastrophization; Psychological distress; Latent class analysis; Analgesics; Opioid; Perioperative care