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Updated: Sep 28, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
Published on: January 27, 2010
Preoperative predictors of moderate to intense acute postoperative pain in patients undergoing abdominal surgery
W Caumo1, A P Schmidt, C N Schneider
1Hospital de Clínicas de Porto Alegre and Psychology Institute and Pharmacology Department, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. caumo@cpovo.net
Background:
Pain is a sensory and emotional experience that is influenced by physiologic, sensory, affective, cognitive, socio-cultural, and behavioral factors. Consistent with the perspective to improve the postoperative pain control, the present study has the purpose of assessing the effect of presurgical clinical factors, psychological and demographic characteristics as predictors for reporting moderate to intense acute postoperative pain.
Methods:
A prospective cohort study was performed with 346 inpatients undergoing abdominal elective surgery (ASA physical status I-III, age range 18-60 years). The measuring instruments were Pain Visual Analog Scale, the State-Trait Anxiety Inventory, and the Montgomery-Asberg Depression Rating Scale. Multivariate conditional regression modeling was used to determine independent predictors for moderate to intense acute postoperative pain.
Results:
Moderate to intense acute postoperative pain was associated with status ASA III (odds ratio (OR) = 1.99), age (OR = 4.72), preoperative moderate to intense pain (OR = 2.96), chronic pain (OR = 1.75), high trait-anxiety and depressive mood moderate to intense (OR = 1.74 and OR = 2.00, respectively). Patients undergoing surgery to treat cancer presented lower risk for reporting moderate to intense pain OR = 0.39, as well as those that received the epidural analgesia and multimodal analgesia with systemic opioid (OR = 0.09 and OR = 0.16, respectively).
Conclusions:
The identification of predictive factors for intense acute postoperative pain may be useful for designing specific preventive interventions to relieve patient suffering. Especially because few of these variables are accessible for medical intervention, which would improve the clinical outcomes and quality of life of patients at risk of moderate to intense acute postoperative pain.
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