Quantitative testing of a patient's basal pain perception before surgery has the potential to be of clinical value if it can accurately predict the magnitude of pain and requirement of analgesics after surgery. This review includes 14 studies that have investigated the correlation between preoperative responses to experimental pain stimuli and clinical postoperative pain and demonstrates that the preoperative pain tests may predict 4-54% of the variance in postoperative pain experience depending on the stimulation methods and the test paradigm used. The predictive strength is much higher than previously reported for single factor analyses of demographics and psychologic factors. In addition, some of these studies indicate that an increase in preoperative pain sensitivity is associated with a high probability of development of sustained postsurgical pain.
RECENT surveys indicate that postoperative pain still remains inadequately treated.1–4In addition, it has been estimated that up to 5% of individuals undergoing surgery will develop severe persisting pain leading to chronic physical disability and psychosocial distress.5,6In a number of studies, preexisting pain and high-intensity postoperative pain have been the predictors of development of persisting pain after surgery.7–12
The research in postoperative pain management has for more than two decades centered on delivery methods, pharmacotherapy with new drugs or combination of older drugs, and organizational aspects.13,14Despite extensive resources used on patient-controlled analgesia, spinal drug delivery methods, coanalgesics, multimodal analgesia, guidelines for acute pain management, and implementation of acute pain services, the results, in terms of an improved outcome after major surgery, seem unexpectedly modest.15,16
Therefore, the postoperative pain research has recently focused on investigating pharmacologic and psychophysiologic explanations for the insufficient pain relief, that is, an inadequate response to analgesics17or an increased response to pain.18Implementation of relevant preoperative screening methods may facilitate more aggressive pain therapies specifically targeted at individuals at a high risk of experiencing severe postoperative pain, which may translate to an improvement in postoperative rehabilitation and a reduction in short- and long-term morbidity.
This article is a review of studies investigating the correlation between responses to preoperatively applied experimental pain stimuli and clinical postoperative pain.19–32
Materials and Methods
Ten of the studies included in this review were known to the authors before the start of the review. Reference lists in the included articles were reviewed for related articles. To cross-track studies, a citation search for each of these articles was made (ISI Web of KnowledgeSM). The original articles were as of July 1, 2009 cited a total of 220 times (median 6 [interquartile range, 3–21]), and these references were examined manually. Finally a PubMed, EMBASE, CINHAL, and Cochrane database search was performed between the years 1966 and 2009 using the MeSH terms postoperative pain, predictive value of tests, and pain measurement.
Nineteen quality domains33reflecting study population, study attrition, prognostic factor measurement, outcome measurement, confounding factors, and analysis were analyzed ( appendix). Each domain was evaluated using a dichotomized quality score of 0 or 1. A global quality assessment score was obtained by simple summation of the scores, thus the global assessment score for each study was between 0 and 19 points. Initial assessments of all studies were made independently by the authors. In case of a difference in assessors' scores of more than or equal to 3 points, a reevaluation was made and a consensus was reached.
The median (interquartile range) of the global quality assessment scores (0–19) of the studies was 16 (14–17).
In five of the studies,19,21,23,24,26patients were classified according to the American Society of Anesthesiologists classification system as status I–III. The demographical data are presented in table 1.
Preoperative Pain Evaluation
In six of the studies,19,22,24,27,28,30the presence of preoperative pain was reported. In one study,28the patients were asked to indicate the presence of preoperative pain, but in the remaining studies, only pain localized to the area of surgery was investigated. In the knee surgery studies, the duration of pain27,30and the skin temperature and knee circumferences27were reported. In two thoracotomy studies, individuals with pain29or with thoracic pain,32respectively, were excluded.
Preoperative Pain Stimulation Methods
Quantitative sensory testing (QST),35defined as quantifiable mechanical (pressure, punctuate, vibratory, and light touch), thermal (cold pain, cool, warm, and heat pain) or electrical stimuli, was used in nearly all the studies. (In neurologic literature, QST usually refers only to testing with light touch, vibratory, and thermal stimulation.36,37) The experimental stimulation methods were the cold-pressor test,19heat immersion test,29brief phasic20,24,27,28,32or tonic heat stimulation,25cutaneous electrical stimulation,21,26,30,31pressure algometry,23punctate mechanical stimulation,27,32and induction of an inflammatory injury (table 1).22Contact thermodes were used in eight studies,20,22,24,25,27–29,32hand immersion in cold or hot water in two studies,19,29electrical stimulation with surface electrodes in four studies,21,26,30,31pressure algometry with digital pinching in one study,23and punctuate stimulation with monofilaments in two studies.27,32
Pain intensity during the preoperative stimulation procedure was assessed with a Visual Analog Scale (VAS) or Numerical Rating Scales (Verbal Rating Scale and Numerical Pain Scale [table 1]). The additional pain assessments were with the short-form McGill Pain Questionnaire19,28or nonvalidated questionnaires.22,24
Preoperative Psychometric Evaluations
Surgical Procedure, Anesthesia, and Postoperative Analgesia
Data concerning the surgical procedure, and anesthesia and postoperative analgesia are outlined in tables 1 and 2, respectively. Epidural analgesia with bupivacaine and fentanyl was used in two studies.29,32Systemic analgesia was with paracetamol, nonsteroidal antiinflammatory drugs, nefopam (centrally acting inhibitor of serotonin, dopamine, and norepinephrine reuptake), and opioids. In most of the studies, a combination therapy was used except for one study that used opioid monotherapy.23In all studies except two,23,27nonsteroidal antiinflammatory drugs were used. In four studies,19,21,22,26postoperative around-the-clock analgesia with fixed doses was prescribed, with a duration of medication from 1 to 7 days. In the remaining studies, analgesics were prescribed as a rescue medication.20,23–25,27–29,31,32
Postoperative Pain Assessments
In all studies except one,31resting pain scores were reported, and in 10 studies, dynamic pain scores were also reported20–22,24,26–29,31,32(table 2). Pain localization was specified in eight studies.19–21,24–27,30In two studies, patients were asked either to indicate incisional, deep, evoked, referred, and/or overall pain,19or to indicate pain localizations on an anatomic chart daily for 10 days after surgery.28Two studies investigated sustained pain in the surgical area at 29 weeks and 18 months, respectively, after surgery.29,30
In all studies except one,30univariate analyses19–29,31,32were used to investigate the association between dependent variables, postoperative pain, or analgesic requirement and independent preoperative predictor variables (table 3). Univariate parametric analyses (Pearson's r ) were used in six studies,20,23,25,28,29,32and nonparametric analyses (Spearman's rho [ρ]) were used in six studies.19,22,24,26,27,31In two studies, data distribution was evaluated for normality by the Kolmogorov-Smirnov test.22,23In eight studies,19,23–25,28–30,32the predictor variables were tested in a multiple linear regression analyses stepwise method, calculating the multiple regression coefficient (R ), or in a logistic regression model calculating odds ratio in six studies19,23–25,28,32and two studies29,30(table 3).
Prediction of Postoperative Pain Intensity
The predictive variables for acute and chronic postoperative pain were investigated in 13 studies19–29,31,32and three studies,27,29,30respectively. The significant predictors for acute postoperative pain were found in 11 studies19–28,32and for chronic postoperative pain in two studies.29,30The psychologic factors significantly predicted postoperative pain intensity in five studies using univariate analyses19,23–25,28or using multiple regression models.23–25,28
Prediction of Postoperative Requirement of Analgesics
Four studies evaluated the predictive power of QST and psychometrics on requirement of analgesics.23,24,27,28In a pressure algometry study,23the preoperative pain tolerance after the intravenous administration of fentanyl (2 μg/kg) predicted 23% of variance in postoperative morphine requirement the first 24 h postoperatively. In the cesarean section studies, preoperative anxiety assessments (State Trait Anxiety Inventory) predicted 22% of the variance in total analgesic requirement (assessed intraoperatively, at the postanesthesia care unit and 6 h postoperatively),24whereas preoperative pain catastrophizing (Pain Catastrophizing Scale),25response to phasic heat pain test,25and electrical pain thresholds26did not correlate with postoperative need of supplemental analgesics. In one of the knee studies, preoperative heat hyperalgesia at the inflammatory changed surgical area predicted 44% of the variance in postoperative morphine consumption by patient-controlled analgesia during the first 24 h.27
The present review demonstrates that the preoperative pain tests may predict 4–54% of the variance in postoperative pain experience depending on the testing method and testing paradigm used (table 3). The predictive strength of these tests is much higher than previously reported for single factor analyses of demographics (age,38,39gender40,41) and psychologic factors (depression,42–46anxiety,8,47–49and vulnerability18). Indeed, the authors in the first experimental pain studies19,20,22indicated that the incentive to use a psychophysical testing paradigm was based on the previous unsuccessful attempts at getting adequate predictive power from psychometrically based tests. This was indirectly corroborated in the current study, because by adding psychologic variables (vulnerability,19,28anxiety,23,28,32depression,28and catastrophizing25,32) to the sensory variables in the multivariate regression analysis, the increase in predictive power of the model generally was modest or even absent. However, the variables may be dependent, and therefore, it is noteworthy that only one of the studies tested for interdependency of the variables.28
More than 2,500 new systematic reviews are indexed annually in PubMed.50Although elaborate reporting guidance exists for randomized controlled trials, the Consolidated Standards of Reporting Trials statements,51and for reporting of meta-analysis of randomized controlled trials,52the Quality of Reporting of Meta-analyses statement, a standard quality assessment method for systematic reviews of nonrandomized controlled trails has not until recently been available.33,50Therefore, quality appraisal is incomplete in most reviews of prediction studies.33We selected a number of relevant domains, used a simple quality score, and for each study, calculated a global quality assessment score to facilitate a quantitative comparison of the studies. The studies of this review achieved a high median score, but a high score does not necessarily per se imply a greater scientific value because most of the studies included in this review are small-scale studies of exploratory nature.
Only four studies19,27,28,30reported the prevalence of preoperative pain, which has been considered a significant predictor of severe postoperative pain5,48,53,54and for development of chronic postsurgery pain.5,7The prevalence of chronic pain in Europe is 19%, which underscores the significance of the problem in the surgical population.55However, not all studies have observed a relationship between preoperative pain and development of chronic pain; in a recently published study, high-intensity postoperative pain, but not preoperative pain, was associated with the development of chronic pain and functional impairment 6 months after surgery.11Nevertheless, it has been hypothesized that severe preoperative pain is associated with a sustained nociceptive input that may lead to neuroplasticity changes in the central nervous system.5,56This sensitization, which may be enhanced by opioid treatment,57plays an important role in the exaggerated postoperative pain response seen in chronic pain patients.29,57–60
Preoperative Pain Stimulation Methods
In two knee studies, the QST assessments were made either in an experimentally induced burn injury contralateral to the surgery site22,61or in the inflammatory changed tissues at the surgery site.27This distinction could be important because surgery is associated with profound changes in the inflammatory and nociceptive system leading to pain and hyperalgesia, where abnormal persistence of the nervous system sensitization may lead to the development of chronic postsurgery pain.62It could be speculated that the preoperative QST assessments in the inflammatory changed tissues more accurately reflect and predict the postoperative state of the nociceptive system. In support of this is the fairly good predictive power, observed in these two studies,22,27explaining 36–43% of the variance in postoperative pain experience (table 3).
It is believed that suprathreshold noxious stimulation has a better predictive performance than pain thresholds in regard to experience of clinical pain and requirement of analgesics.63,64The current data corroborate this statement because in five20,22,24,25,28of six thermal QST studies (table 3), a better predictive power of suprathreshold stimulation was observed. Furthermore, in 11 of 12 studies, suprathreshold pain stimulation, either in a phasic20,24,25,27,28,32or tonic19,21–23,25,29stimulation mode, was used.
However, a number of interesting observations were made in the three of four studies that used transcutaneous electrical stimulation.21,26,30First, a highly significant correlation between electrical pain thresholds and postoperative pain ratings was observed (table 3). Second, in one of the studies, a high predictive power (ρ2= 0.27–0.42) was found.26Third, in a recent total knee replacement study, preoperative low electrical pain thresholds were associated with an increased risk of chronic pain 18 months after surgery.30These findings suggest that important differences may exist between stimulation modalities, that is, the electrical pain thresholds seem to have a much greater predictive potential than the mechanical or thermal pain thresholds. However, it should be noted that in the fourth of the electrical stimulation studies, in male groin hernia repair patients,31no significant predictive role for electrical pain thresholds and tolerance thresholds was observed, which probably can be explained by gender-related differences.
In the electrical stimulation studies,21,26,30,31the gender distribution (females/males) was 50% (194/196), and for studies with positive predictive value, the gender distribution (females/males) was 85% (194/36). Females generally demonstrate lower electrical detection thresholds, electrical pain thresholds, and electrical tolerance levels than males.65–67This may indicate that perception of electrical stimulation is associated with higher levels of anxiety and greater level of discomfort in females compared with males.66
From a methodologic standpoint, it is remarkable that 67% (645/964) of the study population in the 14 studies in the current review was female and that 58% (559/964) of the study populations were included in single-gender studies (table 1). Although the heterogeneity of the studies in this review does not allow any gender-related comparisons, there are data that indicate a higher correlation between responses to experimental pain stimuli, and clinical pain and pain-treatment outcomes in females compared with males.63,68
Five studies included cesarean section patients corresponding to 31% (298/964) of the study population.20,21,24–26A majority of the parturients (53%) was investigated with electrical stimulation. The prevailing opinion has been that pregnancy is associated with an increased antinociception.20In a recent study,69however, the responses to mechanical and electrical noxious stimuli were tested immediately before and 4 days after elective cesarean section in 30 women and compared with a control group of nonpregnant women. No intragroup or between-group differences were observed, indicating that late pregnancy does not seem associated with an increased antinociception.
Preoperative Psychometric Evaluations and Age
As previously stated, psychologic factors do not seem as efficient predictors of intensity of postoperative pain as QST variables (table 3). This is interesting because a number of recent studies have reported that in particular preoperative anxiety,47,70but also depression,44neuroticism71,72and catastrophizing behavior49seem associated with the development of high-intensity postoperative pain18and may have a negative effect on surgical outcome.73
The previous research has demonstrated that the surgical procedure and technique may influence the intensity and the duration of postoperative pain.5,74Therefore, an important limitation of this systematic review is that although 5 of 14 studies were on cesarean section, in the remaining studies, seven different surgical procedures were performed (table 1), indicating an important heterogeneity of data. It is not known whether the pain mechanisms or pain trajectory may differ between inflammatory, neuropathic, or visceral types of postoperative pain. The results from the elective cesarean section studies20,21,24–26suggest rather consistently that pain after this procedure can, in part, be predicted (table 3).
In the current review, two relatively minor surgical procedures were included, that is, laparoscopic tubal ligation28and open groin hernia repair.31Both studies indicate that even after minor tissue injury, a considerable number of patients experience movement-related acute pain of moderate to severe intensity. Unfortunately, because of the large interstudy variability in the assessments of postoperative pain and in the postoperative analgesia regimen, it is not possible to seek out differences in pain ratings between various procedures. Even in the cesarean section studies20,21,24–26with a standardized tissue injury, a major variability in pain ratings was evident.
In the large thoracotomy study,29focused on the development of chronic postsurgical pain, the patients were not fully characterized in terms of their concomitant oncological disease. The adjuvant treatments and the presence of metastases are confounding factors that may lead to an increased pain. Even short-term treatment with morphine has been demonstrated to be associated with diffuse noxious inhibitory control (DNIC)-interference75and development of tolerance and hyperalgesia, which may influence postoperative pain management.76,77
Prediction of Postoperative Pain Intensity and Development of Chronic Postsurgical Pain
The initial mean or median pain ratings (VAS, Verbal Rating Scale and Numerical Pain Scale [0–100]) were more than 45 in four studies during rest19,23,25,27and in seven studies during movement,20,22,24,26,27,29,32representing 29 and 26%, respectively, of the total study population. An association between intensity of acute postoperative pain and subsequent development of chronic pain has been demonstrated.5,11,12In a 1 yr, questionnaire-based follow-up12of the patients included in the large laparoscopic cholecystectomy study,19the sum of postoperative VAS during days 1–7 was a better predictor than maximum reported VAS, which may indicate that also the duration of postoperative pain may influence the development of chronic pain.12
In a number of predictive studies, the focus has recently shifted from acute postoperative pain and requirement of analgesics to development of chronic postsurgical pain.11,12,29,30In the 1-yr follow-up12of the laparoscopic cholecystectomy study,1911% of the patients fulfilled criteria of chronic pain. The first preoperative QST study on development of chronic postoperative pain30included 69 patients with osteoarthritis undergoing total knee replacement surgery. The relationship between preoperative variables and postoperative assessments of pain at rest and during movement, 18 months after the surgical procedure, was studied by logistic regression analysis (n = 63). A VAS score (0–10) of 1 was used as the lower boundary for persistent postoperative pain at rest or during movement (!). Two preoperative variables, pain at rest and electrical pain sensitivity, contributed significantly to the prediction of persistent pain with odds ratios of 6.48 (95% CI, 1.32–31.96) and 9.19 (1.69–50.07), respectively. The study did not report data on acute postoperative pain or give details on postoperative pain management.
The second QST study29investigated 62 patients undergoing anterolateral thoracotomy during a follow-up period of 29 weeks. This study used preoperative activation of the DNIC system induced by hand immersion in hot water (46.5°C) for 1 min as the “conditioning stimulus.” Noxious test stimuli were 30 s heat stimuli calibrated individually for each patient (45°–47°C)78corresponding to a perceived pain intensity of 60 of 100 on a Numerical Pain Scale. These test stimuli were given before and after the DNIC-challenge, and the difference in Numerical Pain Scale values of the assessments represented “DNIC efficiency.” Higher levels of DNIC efficiency was associated with an odds ratio of 0.52 (95% CI, 0.33–0.77), that is, predicting a nearly halved risk of developing chronic pain, whereas severe postoperative pain was associated with an odds ratio of 1.80 (1.28–2.77), predicting a nearly doubled risk of chronic pain development. Interestingly, DNIC efficiency per se did not correlate with the magnitude of acute postoperative pain. These results are in the vanguard of predictive postoperative research and seem applicable in a clinical setting, in particular if the high noxious intensity of the conditioning stimulus can be reduced.79
Prediction of Postoperative Requirement of Analgesics
These data indicate that during specific procedures (cesarean section, hysterectomy, knee surgery, and myomectomy), preoperative QST and State Trait Anxiety Inventory assessments may predict 22–44% of the postoperative analgesic requirement.23–27However, a composite calculation score based on rescue analgesic consumption and pain ratings (both before and after rescue) during a defined time period is probably much more appropriate to use, but unfortunately it is used rarely in clinical pain research.80,81
Although some authors in the current review stated a necessity for a multifactorial model combining psychosocial and psychophysical aspects of pain,24,28others pointed to the need for a simple and reliable prognostic assessment method of postoperative pain.23,26The application of sensory tests and psychometric questionnaires are in most cases a time consuming process,82and not clinically feasible at this time, although a simple electrical device was used in two of the studies.26,31Kalkman et al .48presented a multivariate model that included seven clinically relevant variables, all easily obtained during the preoperative evaluation, to predict the probability of severe pain at the first postoperative hour. The specificity and sensitivity of the model in predicting severe postoperative pain (Numerical Rating Scale ≥8 of 10) was 61 and 74%. The authors recently revised the model and improved its content and construct validity.70,74Unfortunately, this method has not been compared with preoperative QST assessments.
This review demonstrates that QST assessments may predict up to 54% of the variance in postoperative pain experience, particularly after cesarean section, and in development of persistent postsurgical pain. The predictive strength of the tests is much higher than previously reported for single factor analyses of demographics and psychologic factors.
The predictive ability of thermal methods requires stimuli of suprathreshold intensity, whereas for electrical methods, only stimuli at pain threshold intensity are needed. The data corroborate that there is a better correlation between electrical pain threshold and clinical pain, in females compared with males. The psychometric assessments do not seem to contribute to an increase in predictive power.
Future predictive studies will benefit from improved methodology, in regard to selection of surgical procedures, standardization of assessments, and increased clinical applicability of methods, and use of dynamic QST-assessments, such as DNIC efficiency29and temporal summation.32
The authors thank Dorte M. Saltoft, B.A. (Speech and Language Therapist, Department of Stroke 122, Hvidovre University Hospital, Copenhagen, Denmark), for help during completion of the manuscript.
Appendix: Quality Assessment: Grading System33
Study population described
Completeness of follow-up described
Completeness of follow-up adequate
Prognostic factors defined
Prognostic factors measured appropriately
Outcome measured appropriately
Confounders defined and measured
Confounding accounted for
Analysis provides sufficient presentation of data
Follow-up length appropriate
Follow-up length described
General appropriateness of outcome
Research question definition
Sample size adequate
Study design adequate
Evidence supporting conclusions
Grading is dichotomized yes (1) or no (0), and a simple summation of grades (0–19) gives global assessment score.