Perioperative medicine & outcomes

Utility of a Measure of Resilience As a Preoperative Screening Tool to Rule Out Elevated Psychological Symptom Burden

Anesth AnalgPublished Cross-sectional study

Authors' conclusion

Preoperative resilience measured with CD-RISC demonstrates moderate negative associations with measures of anxiety and depression in preoperative patients.

Study context

Population
Adults scheduled for major abdominal or pelvic surgery completing preoperative surveys
Participants
265 adults
Exposure
Low vs normal vs high resilience
Outcome
Psychological symptom burden (Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety, depression, sleep disturbance; Pain Catastrophizing Scale (PCS)) by Connor-Davidson Resilience Scale (CD-RISC) strata and correlation with resilience
Follow-up
Preoperative
Methodological detailssecondary analysis of baseline data from an RCT
  • Secondary analysis of baseline data from an RCT

Main finding

As reported in the abstract

Multivariable analysis of variance (MANOVA) across all measures: Pillai's trace
0.29
MANOVA F(8, 520)
11.0
Anxiety ANOVA F(2, 262), P < .001
38.8
Depression ANOVA F(2, 262), P < .001
39.4
Sleep disturbance ANOVA F(2, 262), P < .001
10.9
Pain catastrophizing ANOVA F(2, 262), P < .001
10.9
Spearman ρ resilience vs anxiety (−0.57 to −0.38), P < .001
−0.48
Spearman ρ resilience vs depression (−0.59 to −0.40), P < .001
−0.50
Spearman ρ resilience vs sleep disturbance (−0.42 to −0.18), P < .001
−0.30
Spearman ρ resilience vs pain catastrophization (−0.42 to −0.19), P < .001
−0.31

Observational data: associations, not effects.

Further findings

OutcomeValues
CD-RISC ruling out elevated symptom burden (composite of PROMIS and PCS scores)Fair discriminationCD-RISC AUC 0.71 [0.63-0.78] · specificity 0.86 [0.81-0.90] · cutoff ≤28

Original publication

Utility of a Measure of Resilience As a Preoperative Screening Tool to Rule Out Elevated Psychological Symptom Burden. Anesth Analg. Published 25 August 2026. doi:10.1213/ane.0000000000008265

Composed by AI from the published abstract and checked against it. How Briefs are made →

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