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May 28, 2026Bariatric Surgical Practice and Patient Care0 citations

Preoperative Pain Catastrophizing Is Associated with Early Postoperative Pain and Suboptimal Early Weight Loss after Sleeve Gastrectomy

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YAYavuz Selim AngınZÖZeki ÖzsoyMYMurat Yıldırım

Key Points

  • This study assesses the predictive value of preoperative pain catastrophizing on postoperative pain and early weight loss after sleeve gastrectomy.
  • Prospective single-center cohort study involving 80 adults preoperatively assessed using Pain Catastrophizing Scale and other inventories.
  • Pain measured with Numeric Rating Scale at multiple time points in the first 24 hours; opioid use converted to morphine equivalents.
  • Receiver-operating characteristic analysis and multivariable logistic regression were performed to explore relationships between variables.
  • Higher PCS scores correlated with increased pain and opioid use, with Spearman coefficients ≥ 0.70 (p < 0.001).
  • ROC analysis identified a PCS score cut-off of ≥26 predicting %EWL < 60% (p = 0.048).
  • Patients with PCS ≥26 showed lower mean %EWL (69.7% ± 19.5%) compared to those with PCS < 26 (77.7% ± 15.0%).

Abstract

Objective: To evaluate whether preoperative Pain Catastrophizing Scale (PCS) scores predict postoperative pain, opioid use, and suboptimal early weight loss after sleeve gastrectomy. Methods: In this prospective single-center cohort, 80 adults undergoing laparoscopic sleeve gastrectomy completed PCS, Beck Depression, and Beck Anxiety inventories preoperatively. Pain was recorded using the Numeric Rating Scale (NRS) at several time points in the first 24 h; opioid consumption was converted to morphine equivalents. Weight loss was assessed at 6 months as percent excess weight loss (%EWL). Receiver-operating characteristic (ROC) analysis was performed to determine the optimal PCS threshold for identifying patients at risk of suboptimal early weight loss (%EWL < 60) at 6 months. Multivariable logistic regression analysis was performed adjusting for age, sex, body mass index (BMI), depression, and anxiety. Results: Higher PCS scores strongly correlated with NRS pain at all time points (Spearman correlation coefficient r ≥ 0.70 at 2 h and 8 h; p < 0.001) and greater opioid use. ROC analysis identified PCS of ≥26 as the optimal cut-off for predicting %EWL of <60 ( p = 0.048). Patients with PCS of ≥26 achieved lower mean %EWL (69.7 ± 19.5%) than those with PCS < 26 (77.7 ± 15.0%). In multivariable logistic regression analysis, PCS of ≥26 was associated with increased odds of suboptimal early weight loss (OR = 3.27, 95% CI: 0.51–21.10); however, this association did not reach statistical significance after adjustment. Conclusion: High PCS scores identify patients at risk for severe early pain and suboptimal early weight loss trajectory. Routine PCS screening may guide targeted perioperative pain management and behavioral interventions to improve bariatric outcomes.

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Cite This Study

Angın et al. (2026) studied this question.

synapsesocial.com/papers/6a17dcbb3fad632b0f9d97b1https://doi.org/10.1177/2168023x261451019
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Also Consider

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