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

dc.contributor.authorANGIN Y. S.
dc.contributor.authorÖzsoy Z.
dc.contributor.authorYıldırım M.
dc.contributor.authorDaşıran M. F.
dc.contributor.authorDALDAL E.
dc.contributor.authorSÜREN M.
dc.contributor.authorOkan İ.
dc.contributor.authorBÜLBÜLOĞLU E.
dc.contributor.authorŞahin M.
dc.date.accessioned2026-07-08T21:36:58Z
dc.date.issued2026-01-01
dc.description.abstractObjective: 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.
dc.identifier.citationANGIN Y. S., Özsoy Z., Yıldırım M., Daşıran M. F., DALDAL E., SÜREN M., Okan İ., BÜLBÜLOĞLU E., Şahin M., "Preoperative Pain Catastrophizing Is Associated with Early Postoperative Pain and Suboptimal Early Weight Loss after Sleeve Gastrectomy", Bariatric Surgical Practice and Patient Care, 2026
dc.identifier.doi10.1177/2168023x261451019
dc.identifier.issn2168-023X
dc.identifier.scopus105041446004
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105041446004&origin=inward
dc.identifier.urihttps://hdl.handle.net/20.500.12645/42233
dc.identifier.wosWOS:001775907200001
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTıp
dc.subjectCerrahi Tıp Bilimleri
dc.subjectHemşirelik
dc.subjectBeslenme ve Dietetik
dc.subjectTarımsal Bilimler
dc.subjectZiraat
dc.subjectSağlık Bilimleri
dc.subjectMedicine
dc.subjectSurgery Medicine Sciences
dc.subjectNursing
dc.subjectNutrition and Dietetics
dc.subjectAgricultural Sciences
dc.subjectAgriculture
dc.subjectHealth Sciences
dc.subjectTarım ve Çevre Bilimleri (Age)
dc.subjectKlinik Tıp (Med)
dc.subjectTarım Bilimleri
dc.subjectKlinik Tıp
dc.subjectBeslenme ve Diyetetik
dc.subjectCerrahi
dc.subjectAgriculture & Environment Sciences (Age)
dc.subjectClinical Medicine (Med)
dc.subjectClinical Medicine
dc.subjectNutrition & Dietetics
dc.subjectSurgery
dc.subjectTıbbi ve Cerrahi Hemşirelik
dc.subjectMedical and Surgical Nursing
dc.subjectbariatric surgery
dc.subjectcatastrophizing
dc.subjectpain management
dc.subjectpsychosocial factors
dc.subjectsleeve gastrectomy
dc.subjectweight loss
dc.titlePreoperative Pain Catastrophizing Is Associated with Early Postoperative Pain and Suboptimal Early Weight Loss after Sleeve Gastrectomy
dc.typearticle
dspace.entity.typePublication
local.avesis.idd77b0970-8ac4-479e-87b4-3206597914d2

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