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Eur J Anaesthesiol ; 32(10): 712-7, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26086282

ABSTRACT

BACKGROUND: The prevalence of chronic postsurgical pain (CPSP) is a critical medical problem with economic implications. Its prevalence after gastrointestinal surgery is not well documented, particularly when a laparoscopic approach is used. OBJECTIVE: The aim of the study was to determine the prevalence, the characteristics and the risk factors for CPSP after laparoscopic colorectal surgery. DESIGN: A retrospective analysis using a postal questionnaire. SETTING: The study was conducted at a university teaching hospital. PATIENTS: Patients who underwent laparoscopic colorectal surgery from April 2008 until December 2011 (n = 260). No epidural analgesia was used. MAIN OUTCOME MEASURES: Postoperative pain intensity, incidence and characteristics of CPSP, and impact on quality of life and sleep. RESULTS: Of 199 responses, 33 patients (17%) reported chronic pain at a median [interquartile range, IQR] of 38 [27 to 55] months after laparoscopic surgery with a median intensity of 4 [3 to 5]. CPSP had a negative impact on the quality of life in 84% of patients and on sleep in 43%. CPSP required regular analgesic(s) intake in 54% patients. Using a backward stepwise multivariate logistic regression model, the following variables were determined as independent risk factors for CPSP: redo surgery for anastomotic leakage (P = 0.01), inflammatory bowel disease (IBD) as the indication for surgery (P = 0.01) and preoperative pain (P = 0.05). CONCLUSION: The incidence of CPSP after laparoscopic colorectal surgery (17%) is similar to those reported in the literature after laparotomy. Risk factors are redo surgery for postoperative peritonitis, IBD and preoperative pain. TRIAL REGISTRATION: EudraCT 2012-005712-25.


Subject(s)
Chronic Pain/epidemiology , Digestive System Surgical Procedures/methods , Laparoscopy/methods , Pain, Postoperative/epidemiology , Aged , Analgesics/administration & dosage , Chronic Pain/etiology , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prevalence , Quality of Life , Retrospective Studies , Risk Factors , Surveys and Questionnaires
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