Abstract
Background
The association of patient expectations about recovery with the development of chronic post-surgical pain (CPSP) is uncertain.
Methods
Three hundred and fifty-nine patients enrolled in the SPRINT trial completed the Somatic Preoccupation and Coping (SPOC) questionnaire six weeks after a traumatic tibial fracture repair. The SPOC questionnaire measures patients' somatic complaints, coping, and optimism for recovery. Using adjusted models, we explored the association of SPOC scores with ≥ mild CPSP and ≥ moderate pain interference with activity at one yr after surgery.
Results
Of 267 tibial fracture patients with data available for analysis, 147 (55.1%) reported CPSP at one yr. The incidence of CPSP was 37.6% among those with low (≤40) SPOC scores, 54.1% among those with intermediate (41–80) scores, and 81.7% among those with high (>80) scores. Addition of SPOC scores to an adjusted regression model to predict CPSP improved the c-statistic from 0.61 (95% CI 0.55–0.68) to 0.70 (95% CI 0.64–0.76, P=0.005 for the difference) and found the greatest risk was associated with high SPOC scores (OR 6.56, 95% CI 2.90–14.81). Similarly, an adjusted regression model to predict pain interference with function at one yr (c-statistic 0.77, 95% CI 0.71–0.83) found the greatest risk for those with high SPOC scores (OR 10.10, 95% CI 4.26–23.96).
Conclusions
Patient's coping and expectations of recovery, as measured by the SPOC questionnaire, is an independent predictor of CPSP and pain interference one yr after traumatic tibial fracture. Future studies should explore whether these beliefs can be modified, and if doing so improves prognosis.
Clinical trial registration
Keywords: chronic pain, postoperative pain, tibial fractures
Editor's key points.
Chronic post-surgical pain (CPSP) can result in significant long term morbidity and disability.
Early identification of those at risk of developing CPSP could allow targeted treatment.
The Somatic Preoccupation and Coping (SPOC) Questionnaire was used six weeks after traumatic tibial fractures.
High SPOC scores at six weeks, were associated with significant pain interference at one yr.
Further studies are needed of the SPOC in early identification of CPSP and directing treatment.
In North America, chronic non-cancer pain affects ∼30% of the population, with similar rates in Europe and Australia.1–5 Surgery and trauma are frequently cited as triggering events responsible for the development of chronic pain. A survey of 5130 patients attending 10 outpatient clinics located throughout North Britain found that 41% attributed their pain to a traumatic event or surgery.6 Rates of chronic post-surgical pain (CPSP) range from 0.1 to 65% with higher rates associated with cardiac, breast, and orthopaedic surgeries.7–9
Surgical repair of long bone fractures constitute the majority of emergent surgical procedures at trauma centres, of which traumatic tibial fractures are the most common.10 A systematic review of 20 observational studies of traumatic tibial fracture repairs found a CPSP mean incidence of 47.4% (range: 10–86%) at an average of 23.9 months after surgery.11
Although several risk factors for CPSP have been identified, many, such as younger age and female gender, are non-modifiable and thus not amendable to direct intervention.8,12,13 However, there are emerging data that suggest patients' beliefs and expectations may be associated with clinical outcomes, including pain.14,15 Positive expectations for recovery after an episode of acute low back pain is associated with improved recovery and reduced disability.16 The relationship between psychological factors, behaviors, and cognitive processes with the sensation of pain is well documented. Stress, distress, anxiety, depression, catastrophizing, fear-avoidance behaviors, and poor coping strategies appear to have a significant relationship with both acute and chronic pain.17 Evidence suggests that these psychological factors can cause alterations along the spinal and supraspinal pain pathways which influence the perception and experience of pain.18
The SPOC is a 27-item self-administered questionnaire that was developed in traumatic tibial fracture patients and found to predict functional outcomes at one yr after surgery.19 The SPOC questionnaire assesses several psychological, cognitive, and behavioral factors that cluster into four domains: somatic complaints, energy, coping, and optimism. The SPOC assesses these factors with regards the patient's postoperative recovery—higher scores on the SPOC represent worse coping, increased somatic complaints, lower energy and pessimism regarding recovery. While this instrument has been shown to predict functional outcomes, many of the sub-domains assessed (i.e. poor coping, attitudes, distress, self-perception, optimism) are known to be associated with pain.17,20 Strengths of the SPOC instrument over other questionnaires is that it is multi-dimensional, whereas other tools focus on a single factor such as anxiety, catastrophizing, or general distress. In a separate sample of lower limb trauma patients, the SPOC questionnaire has demonstrated strong psychometric properties including test-retest reliability (intraclass correlation coefficients for the total SPOC and all subscales ranged from 0.72 to 0.91) internal consistency (Cronbach's α=0.94), and construct validity.21
The purpose of this investigation was to determine whether patients' coping abilities and expectations regarding recovery after traumatic tibial fractures, as operationalized by the SPOC questionnaire, are associated with the development of CPSP.
Methods
Our investigation utilized data from the Study to Prospectively evaluate Reamed Intramedullary Nails in Tibial fractures (SPRINT) trial.22 A multicentre, randomized controlled trial that assessed the efficacy of reamed or unreamed intramedullary nailing, for patients ≥18 yr old with an open or closed tibial fracture. Exclusion criteria included neurovascular deficits, pathologic fractures, excessive surgical delay (>12 h from time of injury for open fractures, >3 weeks from time of injury for closed fracture), and associated fractures in the foot, ankle, or knee. From July 2000 to September 2005, 1339 patients were enrolled into the SPRINT trial from 29 clinical sites in Canada, the USA, and the Netherlands. The last follow-up visit occurred in September 2006, with final outcomes adjudicated by January 2007. Each institution involved obtained an ethics review board approval before starting, which was registered at Clinicaltrial.gov (Identifier: NCT00038129). A detailed protocol of the SPRINT trial has been published elsewhere.10
During the conduct of the trial, centres with high recruitment rates were approached to administer the SPOC questionnaire, to enrolled tibial fracture patients at six weeks after surgical fixation, regardless of group assignment. The SPOC instrument produces a single score on a scale of 0–162, with higher scores representing greater somatic preoccupation, worse coping, and pessimism about recovery. The development and initial validation of the SPOC questionnaire among patients undergoing surgical fixation for tibial fracture has been published elsewhere,19 as has a re-validation study in a separate population of lower limb trauma patients.21
The SPRINT trial administered the short form-36 (SF-36), a generic health status and quality of life instrument, at hospital discharge, two weeks, six weeks, and three, six, nine and 12-months post-surgery. The SF-36 has been validated in surgical and non-surgical populations and demonstrates good validity, reliability, and internal consistency.23–25 Questions seven and eight of the SF-36 capture information regarding the degree of bodily pain and interference of pain with daily activities during the last four weeks before survey completion.
Pain must be present for ≥2 months after surgery to meet the International Association for the Study of Pain's (IASP's) definition of CPSP26; however, we believe that patients are more likely to be concerned about pain that persists for longer periods of time. Accordingly, our primary outcome was the presence of pain at one yr after surgery. Secondary outcomes were the severity of pain and interference of pain on normal work (including both work outside the home and housework).
Missing or incomplete data for responses to the SF-36 at one yr were imputed using the last value carried forward from the six month follow-up date, as we found 90% concordance between patient-reported pain at six months and one yr among patients with complete data at both time points. We did not impute missing one yr data from the three month follow-up as there was only 64% concordance in pain data. Accordingly, patients that did not provide SF-36 data at the six month or one yr follow-up visit were excluded from analysis. The second IASP criteria for CPSP is that other causes for the pain have been excluded, in particular pain from a condition preceding the surgery. To increase confidence that this criteria was met, we excluded any patients who reported taking two or more pain medications (e.g. acetaminophen, anti-inflammatory, opioids, anti-convulsants) before surgery.
Statistical analysis
We generated frequencies for all collected data. We reported the mean and standard deviation (sd) of continuous variables, and the number of occurrences with proportions represented as percentages for categorical variables. The presence of CPSP was determined by responses to question seven of the SF-36 at one yr, which asks about bodily pain and provides six response options: none; very mild; mild; moderate; severe; or very severe. We dichotomized responses to this question—none and very mild pain vs other response options—and selected this threshold as we found that 27.1% of the 48 patients with mild pain at one yr reported ≥ moderate pain interference compared with only 3.8% (3 of 80) of patients with very mild pain (Supplementary Appendix). Responses to question eight of the SF-36 regarding the interference of pain on normal work included five response options: none; a little bit; moderately; quite a bit; and extremely. We dichotomized responses as none and a little bit vs other response options, as we believe pain that at least moderately interferes with normal work would be important to patients.
We categorized patients into three groups based upon their six week post-surgery SPOC scores. We used the interquartile range (IQR) to create tertiles as the Shapiro–Wilk test indicated the data was not normally distributed (P<0.001). We calculated risk differences for chronic pain and pain interference at one yr in the intermediate and high SPOC score groups, in reference to the low score group, expressed as odds ratios (ORs) with 95% confidence intervals (CI). We used the Kruskal–Wallis (KW) test to explore for differences in the severity of pain and degree of interference across the three categories of SPOC scores. If the KW test was significant, we used the Wilcoxon ranked-sum test to explore for differences in the intermediate and high score groups in reference to the low score group.
We constructed multivariable logistic regression models to explore the association between SPOC questionnaire scores at six weeks after surgery, and the presence of chronic pain or interference of pain with daily activities at one yr. We selected five additional variables that we judged might be associated with CPSP, and predicted the direction of anticipated effects: female gender, younger age, open fractures, the presence of multi-trauma, and positive smoking status—all associated with worse outcomes. We assessed collinearity between each variable included in our regression models with the variance inflation factor (VIF), and if the VIF >5 we removed the variable the smaller coefficient (smaller association).27 We constructed our regression models with and without SPOC scores and calculated the concordance statistic (c-statistic) and associated 95% CI for each model to quantify the change in discrimination with the addition of SPOC scores. A c-statistic of 0.5 indicates that the model is no better than chance at predicting the outcome, 0.7–0.8 is considered reasonable prediction, and ≥0.8 is considered strong prediction.28 SPOC scores were added to the model as a categorical variable (low, intermediate, and high scores). We assessed the goodness-of-fit of our logistic regression models with the Hosmer–Lemeshow test.28 We explored over-fitting of our regression models by calculating optimism of the model using boot-strapping methods of 400 cycles—optimism is a measure of over-fitting in a model and should be as small as possible.29
All statistical analyses were performed using R Statistical Package (R Foundation for Statistical Computing, Vienna, Austria). All tests were two-sided and P<0.05 was considered statistically significant.
Results
Of 1339 patients enrolled in the SPRINT trial, 359 patients were approached to complete the SPOC questionnaire; 316 patients provided complete SPOC data at six weeks post-surgery. Of these patients, 224 had complete SF-36 data at one yr. We imputed outcome data for an additional 43 patients from their six month follow-up visit. The remaining 49 patients only provided SF-36 data at three months or less and were not included in our analyses. Baseline characteristics of patients are provided in Table 1. The mean age of patients was 38.7 yr old (range 78) and most were male (74.9%). The majority of patients presented with a closed tibial fracture, most often resulting from a motor-vehicle accident, fall, or motor-cycle accident.
Table 1.
Variable | Total SPRINT population (n=1319) | SPOC sample (n=267) |
---|---|---|
Age, mean in years (Range) | 39.2 (78.6) | 38.7 (78) |
Sex, no. (%) | ||
Male | 979 (74.2) | 200 (74.9) |
Female | 340 (25.8) | 67 (25.1) |
Smoking history, no. (%) | 446 (34.0) | 87 (32.6) |
Fracture type, no. (%) | ||
Open | 435 (32.7)* | 98 (36.7) |
Closed | 892 (67.6) | 169 (63.3) |
Isolated fracture, no. (%) | 888 (67.3) | 154 (57.7) |
Mechanism of injury (n, %) | ||
Crush injury | 68 (5.2) | 11 (4.1) |
Direct trauma (blunt) | 91 (6.9) | 22 (8.2) |
Direct trauma (penetrating) | 21 (1.6) | 3 (1.1) |
Fall | 374 (28.4) | 63 (23.6) |
Motorcycle accident | 147 (11.2) | 39 (14.6) |
MVA (driver/passenger) | 277 (21.0) | 60 (22.5) |
MVA (pedestrian) | 274 (20.8) | 59 (22.1) |
Twist | 65 (4.9) | 6 (2.2) |
SPOC score (mean, sd) | 57.2 (28.6) |
A total of 147 patients (55.1%) reported mild to very severe pain at one yr after surgery, and 94 (35.2%) reported pain that interfered, moderately to extremely, with their daily activities (Table 2). Low SPOC scores were defined as ≤40, intermediate scores from 41 to 80, and high scores as >80. The risk and severity of chronic pain or pain that interfered with activities at one yr after surgery increased with higher SPOC scores (Table 2). Compared with those in the low score group, patients reporting an intermediate SPOC score at six weeks after surgery were twice as likely to report pain (OR 1.95; 95% CI 1.11–3.44, P=0.02) and three times more likely to report pain that interfered with activities (OR 3.43, 95% CI 1.68–7.01, P<0.001) at one yr. Patients reporting a high SPOC score six weeks after tibial fixation were seven times as likely to report CPSP (OR 7.38, 95% CI 3.36–16.22, P<0.001) and 10 times more likely to report pain that interfered with activity (OR 10.51, 95% CI 4.70–23.51, P<0.001) at one yr.
Table 2.
SPOC score category | None to very mild pain | Mild to severe pain | Risk (95% CI) | None to a little pain interference | Moderate to extreme pain interference | Risk (95% CI) |
---|---|---|---|---|---|---|
Low (≤40) | 53 | 32 | 37.6 (27.3–47.9) | 73 | 12 | 14.1 (6.7–21.5) |
Intermediate (>40, ≤80) | 56 | 66 | 54.1 (45.3–62.9) | 78 | 44 | 36.1 (27.6–44.6) |
High (>80) | 11 | 49 | 81.7 (71.9–91.5) | 22 | 38 | 63.3 (51.1–75.5) |
Compared with those with low SPOC scores, those with high (P<0.001) and intermediate scores (P=0.007) had more severe pain intensity (Table 3). Similarly, those with high (P<0.001) and intermediate (P<0.001) SPOC scores reported more pain interference than the low-score group (Table 4).
Table 3.
SPOC category | None to very mild (%) | Mild (%) | Moderate (%) | Severe (%) | Very severe (%) |
---|---|---|---|---|---|
Low (≤40) | 53 (62.4) | 16 (18.8) | 15 (17.1) | 1 (1.2) | 0 (0.0) |
Intermediate (40>, ≤80) | 56 (45.9) | 24 (19.7) | 33 (27.0) | 8 (6.6) | 1 (0.8) |
High (>80) | 11 (18.3) | 8 (13.3) | 25 (41.7) | 12 (20.0) | 4 (6.7) |
Total | 120 (44.9) | 48 (20.0) | 73 (27.3) | 21 (7.9) | 5 (1.9) |
Table 4.
SPOC category | Not at all to a little bit (%) | Moderately (%) | Quite a bit (%) | Extremely (%) |
---|---|---|---|---|
Low (≤40) | 73 (85.9) | 11 (12.9) | 1 (1.2) | 0 (0.0) |
Intermediate (40>, ≤80) | 78 (63.9) | 25 (20.5) | 13 (10.7) | 6 (4.9) |
High (>80) | 22 (36.7) | 15 (25.0) | 13 (21.7) | 10 (16.7) |
Total | 173 (64.8) | 51 (19.1) | 27 (10.1) | 16 (6.0) |
When limited to adjustment variables, our multivariable logistic regression model to predict the persistent pain (no SPOC scores) produced a c-statistic of 0.61 (95% CI 0.55–0.68), with an optimism of 0.072. When SPOC scores were added to the model with the low (≤40 scores) group used as the reference, the model indicated a significant association with the development of CPSP with those in the intermediate (OR 1.84, 95% CI 1.02–3.31) and high score group (OR 6.56, 95% CI 2.90–14.81) (Table 5). The c-statistic of the model improved to 0.70 (95% CI 0.64–0.76, P=0.005 for the difference) and optimism decreased to 0.052. Positive smoking status was also found to be a significant predictor of CPSP with an OR of 2.10 (95% CI 1.17–3.77).
Table 5.
Variable | Adjusted model without SPOC scores | Adjusted model with SPOC scores |
---|---|---|
Odds ratio (95% CI) | Odds ratio (95% CI) | |
Sex | 1.02 (0.56–1.83) | 1.01 (0.54–1.88) |
Age | 1.09 (0.93–1.27) | 1.13 (0.96–1.34) |
Open | 1.11 (0.66–1.88) | 1.00 (0.58–1.73) |
Multi-trauma | 1.54 (0.92–2.56) | 1.30 (0.76–2.24) |
Smoker | 2.41 (1.38–4.20) | 2.10 (1.17–3.77) |
SPOC | ||
Low | Reference | |
Intermediate | 1.84 (1.02–3.31) | |
High | 6.56 (2.90–14.81) |
When limited to adjustment variables, our model to predict interference of pain on normal work produced a c-statistic of 0.68 (95% CI 0.61–0.74), and an optimism of 0.050. When SPOC scores were added to the model, the intermediate (OR 3.15, 95% CI 1.49–6.69) and high SPOC score groups (OR 10.10, 95% CI 4.26–23.96) were significant predictors (Table 6), the c-statistic improved to 0.77 (95% CI 0.71–0.83, P=0.003 for the difference) and optimism reduced to 0.042. Open fracture (OR 2.24, 95% CI 1.24–4.03) and positive smoking status (2.54, 95% CI 1.39–4.67) were also associated with an increased risk of pain interference at one yr. The Hosmer–Lemeshow test was non-significant for all regression models.
Table 6.
Variable | Adjusted model without SPOC scores | Adjusted model with SPOC scores |
---|---|---|
Odds ratio (95% CI) | Odds ratio (95% CI) | |
Sex | 0.75 (0.39–1.43) | 0.69 (0.34–1.37) |
Age | 1.11 (0.93–1.32) | 1.20 (0.99–1.45) |
Open | 2.28 (1.32–3.95) | 2.24 (1.24–4.03) |
Multi-trauma | 1.34 (0.78–2.30) | 0.99 (0.55–1.79) |
Smoker | 2.38 (1.60–4.99) | 2.54 (1.39–4.67) |
SPOC | ||
Low | Reference | |
Intermediate | 3.15 (1.49–6.69) | |
High | 10.10 (4.26–23.96) |
Discussion
Our study found that patient coping abilities, beliefs, and expectations about recovery, as operationalized by the SPOC instrument, are a strong predictor of CPSP, pain severity, and interference of pain one yr after traumatic tibial fracture repair.
Strengths of this study include use of a validated instrument to assess patient coping and recovery expectations, and adjustment of our regression models for patient and injury characteristics.
There are several limitations to our study. First, this analysis was performed in the same sample population used to develop and validate the SPOC instrument, which may inflate the strength of association because of nonindependence (i.e. the predictive model has greater optimism). While external validation on a separate tibial fracture patient sample is needed, internal validation testing using the boot-strapping methods demonstrated low optimism. Second, our inability to directly exclude pre-existing pain may have overestimated the incidence of persistent pain. Third, we were unable to control for other potential prognostics factors (i.e. preoperative catastrophizing, depression) in our adjusted analyses. Finally, although there was good concordance (90%) between six month and one yr pain and pain interference scores, ∼16% of patients included in our analysis had these data imputed using their six month scores.
Findings from our study add to a growing body of evidence regarding the influence of patient expectations on clinical health outcomes. A systematic review found 45 studies assessing the relationship of a patient's expectation for recovery in a variety of clinical conditions ranging from myocardial infarctions to alcoholism.14 Of the studies rated as moderate to high-quality, 94% indicated an association between positive expectations and improved outcomes; 73% of these studies indicated a moderate to high effect size. While the majority of studies did not control for other prognostic factors, the studies with statistical adjustment found similar results, suggesting an independent effect of patient expectations.
There is evidence that the experience of chronic pain arises from the interplay between biomedical, cognitive, affective, and behavioral factors.30 However, the effect of patients' beliefs and expectations on chronic pain is an under-investigated area. A recent systematic review on measures of patient expectations on recovery found only four studies in the perioperative setting, none of which examined the relationship with CPSP.15 Our study provides evidence that poor coping and low patient expectations may be associated with the development of chronic pain after surgery.
In contrast to patient characteristics, injury severity, and other prognostic factors that are otherwise unmodifiable, patient beliefs and expectations are potentially malleable and thus allow for an opportunity to reduce the risk of chronic pain. If expectations about recovery are related to the development of chronic pain, interventions aimed at improving patients' coping abilities and outlook in the perioperative period could improve prognosis. Self-instruction, which is the process of identifying negative cognitions and replacing them with positive ones, appears to improve pain thresholds in catastrophizing males.31
Our investigation found that smoking is a strong predictor of chronic pain and interference of pain at one yr after traumatic tibial fracture. Epidemiological data also demonstrates a link between smoking and the development of chronic pain.32 This relationship is complex and is likely an interaction of biological, psychological, and social factors.33 Additionally, in our study, open fractures were at higher risk of developing pain interference. This association is likely a reflection of the increased severity of injury and complicated recovery of those with open fractures over closed fractures.34
Results of our study suggest an influence of negative beliefs and poor coping in the pathogenesis of CPSP among patients undergoing surgical repair for tibial fracture and further supports a biopsychosocial model as a framework to understand the development of chronic pain. Future investigations are needed to evaluate the relationship of SPOC scores and chronic pain in other surgical populations and whether patient beliefs and expectations can predict the development of other psychological constructs, such as depression or anxiety. Randomized controlled trials are also needed to determine whether patient beliefs and expectations can be modified and whether doing so results in improved prognosis.
Author's contributions
Study design/planning: J.S.K., P.J.D., J.W.B.
Study conduct: J.S.K., P.J.D., J.W.B.
Data analysis: J.S.K., Y.L., J.W.B.
Writing paper: J.S.K., P.J.D., Y.L., J.W.B.
Revising paper: all authors
Supplementary material
Supplementary material is available at British Journal of Anaesthesia online.
Declaration of interest
There were no conflicts of interest in the conduct, analysis, and publishing of this manuscript among study authors.
Funding
The SPRINT trial was funded by Research Grants from the Canadian Institutes of Health Research (# MCT-38140), the National Institutes of Health (NIAMS-072; R01 AR48529), the Orthopaedic Research and Education Foundation, the American Academy of Orthopaedic Surgeons, and the Orthopaedic Trauma Association. Smaller site specific grants were also obtained from Hamilton Health Sciences Research Grant and Zimmer. No funds were received for the preparation of this manuscript. The funding sources had no role in design or conduct of the study; the collection, management, analysis, or interpretation of the data; or the preparation, review, or approval of the manuscript.
Supplementary Material
Acknowledgements
Authors of this study would like to thank the investigative team of the SPRINT trial for allowing us to administer the SPOC questionnaire to a subset of their patients.
References
- 1.Moulin D, Clark A, Speechley M, Morley-Forster P. Chronic pain in Canada, prevalence, treatment, impact and the role of opioid analgesia. Pain Res Manag 2002; 7: 179–84 [DOI] [PubMed] [Google Scholar]
- 2.Johannes CB, Le TK, Zhou X, Johnston JA, Dworkin RH. The prevalence of chronic pain in United States adults: results of an Internet-based survey. J Pain 2010; 11: 1230–9 [DOI] [PubMed] [Google Scholar]
- 3.Blyth FM, March LM, Brnabic AJM, Jorm LR, Williamson M, Cousins MJ. Chronic pain in Australia: a prevalence study. Pain 2001; 89: 127–34 [DOI] [PubMed] [Google Scholar]
- 4.Breivik H, Collett B, Ventafridda V, Cohen R, Gallacher D. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain 2006; 10: 287–333 [DOI] [PubMed] [Google Scholar]
- 5.Elliott AM, Smith BH, Penny KI, Smith WC, Chambers WA. The epidemiology of chronic pain in the community. Lancet 1999; 354: 1248–52 [DOI] [PubMed] [Google Scholar]
- 6.Crombie IK, Davies HT, Macrae WA. Cut and thrust: antecedent surgery and trauma among patients attending a chronic pain clinic. Pain 1998; 76: 167–71 [PubMed] [Google Scholar]
- 7.Hayes C, Browne S, Lantry G, Burstal R. Neuropathic pain in the acute pain service: a prospective survey. Acute Pain 2002; 4: 45–8 [Google Scholar]
- 8.Kehlet H, Jensen TS, Woolf CJ. Persistent postsurgical pain: risk factors and prevention. Lancet 2006; 367: 1618–25 [DOI] [PubMed] [Google Scholar]
- 9.Albi-Feldzer A, Mouret-Fourme E, Hamouda S et al. . A double-blind randomized trial of wound and intercostal space infiltration with ropivacaine during breast cancer surgery. Anesthesiology 2015; 118: 241–3 [DOI] [PubMed] [Google Scholar]
- 10.Bhandari M, Guyatt G, Tornetta P et al. . Study to prospectively evaluate reamed intramedually nails in patients with tibial fractures (S.P.R.I.N.T.): study rationale and design. BMC Musculoskelet Disord 2008; 9: 91–106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Katsoulis E, Court-Brown C, Giannoudis PV. Incidence and aetiology of anterior knee pain after intramedullary nailing of the femur and tibia. J Bone Joint Surg Br 2006; 88: 576–80 [DOI] [PubMed] [Google Scholar]
- 12.Montes A, Roca G, Sabate S et al. . Genetic and clinical factors associated with chronic postsurgical pain after hernia repair, hysterectomy, and thoracotomy. Anesthesiology 2015; 122: 1123–41 [DOI] [PubMed] [Google Scholar]
- 13.Perkins FM, Kehlet H. Chronic pain as an outcome of surgery. A review of predictive factors. Anesthesiology 2000; 93: 1123–33 [DOI] [PubMed] [Google Scholar]
- 14.Mondloch MV, Cole DC, Frank JW. Does how you do depend on how you think you'll do? A systematic review of the evidence for a relation between patient's recovery expectations and health outcomes. Can Med Assoc J 2001; 165: 174–9 [PMC free article] [PubMed] [Google Scholar]
- 15.Ebrahim S, Malachowski C, Kamal el Din M et al. . Measures of patients’ expectations about recovery: a systematic review. J Occup Rehabil 2014; 25: 240–55 [DOI] [PubMed] [Google Scholar]
- 16.Myers SS, Phillips RS, Davis RB et al. . Patient expectations as predictors of outcome in patients with acute low back pain. J Gen Intern Med 2008; 23: 148–53 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Linton SJ. A review of psychological risk factors in back and neck pain. Spine 2000; 25: 1148–56 [DOI] [PubMed] [Google Scholar]
- 18.Wiech K, Tracey I. The influence of negative emotions on pain: behavioural effects and neural mechanisms. NeuroImage 2009; 47: 987–94 [DOI] [PubMed] [Google Scholar]
- 19.Busse JW, Bhandari M, Guyatt GH et al. . Development and validation of an instrument to predict functional recovery in tibial fracture patients: the Somatic Pre-Occupation and Coping (SPOC) questionnaire. J Orthop Trauma 2012; 26: 370–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mahler HIM, Kulik JA. Optimism, pessimism and recovery from coronary bypass surgery: prediction of affect, pain and functional status. Psychol Health Med 2000; 5: 347–58 [Google Scholar]
- 21.Reininga IHF, Brouwer S, Dijkstra A et al. . Measuring illness beliefs in patients with lower extremity injuries: reliability and validity of the Dutch version of the Somatic Pre-Occupation and Coping questionnaire (SPOC-NL). Injury 2015; 46: 308–14 [DOI] [PubMed] [Google Scholar]
- 22.Bhandari M, Guyatt G, Tornetta P et al. . Randomized trial of reamed and unreamed intramedullary nailing of tibial shaft fractures. J Bone Joint Surg Am 2008; 90: 2567–78 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hawker GA, Mian S, Kendzerska T, French M. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36). Arthritis Care Res 2011; 63 Suppl 1: S240–52 [DOI] [PubMed] [Google Scholar]
- 24.Jenkinson C, Coulter A, Wright L. Short form 36 (SF 36) health survey questionnaire: normative data for adults of working age. Br Med J 1993; 306: 1437–40 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bhandari M, Sprague S, Hanson B et al. . Health-related quality of life following operative treatment of unstable ankle fractures. J Orthop Trauma 2004; 18: 338–45 [DOI] [PubMed] [Google Scholar]
- 26.Macrae WA. Chronic pain after surgery. Br J Anaesth 2001; 87: 88–98 [DOI] [PubMed] [Google Scholar]
- 27.Kline R. Data Preparation and Screening. Princ Pract Struct Equ Model New York: The Guilford Press, 1998 [Google Scholar]
- 28.Steyerberg E. Evaluation of Performance. Clin Predict Model A Pract Approach to Dev Validation, Updat New York: Springer, 2009 [Google Scholar]
- 29.Steyerberg E. Overfitting and Optimism. Clin Predict Model A Pract Approach to Dev Validation, Updat New York: Springer, 2009 [Google Scholar]
- 30.Turk DC, Rudy TE. Cognitive factors and persistent pain: a glimpse into pandora's box. J Gen Intern Med 1992; 16: 99–122 [Google Scholar]
- 31.Heyneman NE, Fremouw WJ, Gano D, Kirkland F. Individual differences and the effectiveness of different coping strategies for pain. Cognit Ther Res 1990; 14: 63–77 [Google Scholar]
- 32.John U, Hanke M, Meyer C, Völzke H, Baumeister SE, Alte D. Tobacco smoking in relation to pain in a national general population survey. Prev Med 2006; 43: 477–81 [DOI] [PubMed] [Google Scholar]
- 33.D’ Silva J, Dengody P, Devadiga S, Jain V, Bhoj M, Chalathadka M. Smoking and chronic pain. J Health Res Rev 2014; 1: 34 [Google Scholar]
- 34.Giannoudis PV, Harwood PJ, Kontakis G et al. . Long-term quality of life in trauma patients following the full spectrum of tibial injury (fasciotomy, closed fracture, grade IIIB/IIIC open fracture and amputation). Injury 2009; 40: 213–9 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.