Chronic post-surgical pain (CPSP) is a serious problem. Incidence as high as 50% has been reported, depending on type of surgery undergone. Because the etiology of chronic pain is grounded in the bio-psychosocial model, physical, psychological, and social factors are implicated in the development of CPSP. Biomedical factors such as pre-operative pain, severe acute post-operative pain, modes of anesthesia, and surgical approaches have been extensively examined, therefore this systematic review focuses on psychosocial elements. A systematic search was performed using the PubMed, PsychINFO, Embase, and Cochrane Databases. Fifty relevant publications were selected from this search, in which psychosocial predictors for and correlates to CPSP were identified. The level of evidence was assessed for each study, and corresponding score points were awarded for ease of comparison. The grade of association with CPSP for each predictor/correlate was then determined. Depression, psychological vulnerability, stress, and late return to work showed likely correlation with CPSP (grade of association=1). Other factors were determined to have either unlikely (grade of association=3) or inconclusive (grade of association=2) correlations. In addition, results were examined in light of the type of surgery undergone. This review is intended as a first step to develop an instrument for identifying patients at high risk for CPSP, to optimize clinical pain management.

The incidence of chronic post-surgical pain (CPSP) after various common operations is 10% to 50%. Identification of patients at risk of developing chronic pain, and the management and prevention of CPSP remains inadequate. The aim of this study was to develop an easily applicable risk index for the detection of high-risk patients that takes into account the multifactorial aetiology of CPSP. A comprehensive item pool was derived from a systematic literature search. Items that turned out significant in bivariate analyses were then analysed multivariately, using logistic regression analyses. The items that yielded significant predictors in the multivariate analyses were compiled into an index. The cut-off score for a high risk of developing CPSP with an optimal trade-off between sensitivity and specificity was identified. The data of 150 patients who underwent different types of surgery were included in the analyses. Six months after surgery, 43.3% of the patients reported CPSP. Five predictors multivariately contributed to the prediction of CPSP: capacity overload, preoperative pain in the operating field, other chronic preoperative pain, post-surgical acute pain and co-morbid stress symptoms. These results suggest that several easily assessable preoperative and perioperative patient characteristics can predict a patient's risk of developing CPSP. The risk index may help caregivers to tailor individual pain management and to assist high-risk patients with pain coping.

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