Education: Review Article
Preoperative Pain Sensitivity and Its Correlation with Postoperative Pain and Analgesic Consumption: A Qualitative Systematic Review
Abrishami, Amir M.D.*; Chan, Joshua B.Sc.†; Chung, Frances M.D., F.R.C.P.C.‡; Wong, Jean M.D., F.R.C.P.C.§
Section Editor(s): Warner, David S. M.D., Editor
Pain perception to minor physical stimuli has been hypothesized to be related to subsequent pain ratings after surgery. The objective of this systematic review was to evaluate the correlation between preoperative pain sensitivity and postoperative pain intensity. After a literature search of MEDLINE, EMBASE, and meeting abstracts, we identified 15 studies (n = 948 patients) with univariate and/or multivariate analysis on the topic. In these studies, three types of pain stimuli were applied: thermal, pressure, and electrical pain. The intensity of suprathreshold heat pain (i.e., pain beyond patient threshold) was most consistently shown to correlate with postoperative pain. The most common limitation of the included studies was the method of statistical analysis and lack of multivariate analysis. More research is required to establish the correlation of other pain sensitivity variables with postoperative pain outcomes.
TREATMENT of postoperative pain continues to be an ongoing challenge, despite the use of multimodal analgesic techniques. If not managed effectively, postoperative pain can lead to prolonged rehabilitation, poor surgical outcomes, and increased risk of cardiovascular and pulmonary complications.1–4
Acute postoperative pain also may be an important predictor of persistent pain after major surgical procedures.5
Pain is a multifaceted phenomenon that consists of physiological, emotional, and behavioral components, and it is influenced by genetic factors.6,7
Individual variability in any of these factors can lead to different pain experiences, as well as variable response to pain-management therapies. Therefore, identification of patients at risk of severe postoperative pain will allow more individualized and effective pain management. This approach will also prevent unnecessary treatment of low-risk patients and thus reduce the risk of potential adverse effects of postoperative analgesic medications.
In this regard, a systematic review of 48 studies showed that preoperative pain, age, anxiety, and type of surgery were independently correlated with postoperative pain and/or analgesic consumption.8
The coefficient of determination (R2
) of the predictive models of postoperative pain was less than 54%, leaving approximately half of the variability unexplained by the tested variables. Therefore, other variables exist that contribute to the complexity of the postoperative pain outcomes.
Previous experimental and some human studies suggest that preoperative pain sensitivity may correlate with postsurgical clinical pain.9–11
Pain perception to physical stimuli has been hypothesized to predict subsequent pain ratings after surgery.10
Therefore, those patients who can tolerate more pain preoperatively will report a lower postoperative pain score and may require less analgesia.
The utility and optimal modality for testing pain sensitivity for predicting acute post surgical pain is unclear. Quantitative assessment of pain sensitivity has been reliably used in other clinical pain research (e.g.
, on patients with neuropathic pain).12,13
In this method, different pain modalities (thermal, pressure, or chemical) are applied to different tissues (skin, muscles, and viscera), and the responses are assessed to determine pain threshold and other related parameters.12
If preoperative pain sensitivity testing predicts postoperative pain intensity, this method may be used to identify patients who will require more intensive pain management postoperatively.
The purpose of this systematic review is to identify and summarize the modalities used in the preoperative assessment of pain sensitivity and to evaluate the correlation with postoperative pain intensity, analgesic consumption, and the occurrence of persistent postsurgical pain.
Materials and Methods
The databases EMBASE (1980–November 2009), MEDLINE (1966–November 2009), and the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library (Issue 4, 2009) were searched to retrieve articles on the topic. The following keywords were used in the search: quantitative sensory test, preoperative, perioperative, postoperative, postsurgical, postoperative pain, threshold, anesthesia, analgesia, postprocedure, algometer, pain matcher, and thermal sensory analysis. Furthermore, the following subheadings were explored: perioperative/postoperative/intraoperative/reoperative care, surgical procedures, anesthesia, anesthesiology, pain threshold, pain measurement, physical/electrical stimulation, cold/hot temperature, and pain. We also reviewed the abstracts of the following meetings: Canadian Anesthesiologists' Society (2000–2009), American Society of Anesthesiologists (2000–2009), and International Anesthesia Research Society (2000–2009). A manual search of the reference lists from the selected articles was conducted to identify additional trials.
The search results were evaluated by two independent reviewers to find the eligible articles for inclusion. Any disagreements between the authors were resolved by discussion or by consulting with the senior author. In the first phase of the review, obviously irrelevant articles were excluded by reviewing the title of the search results. In the next phase, the abstract and/or full-text articles were evaluated to determine whether they met the eligibility criteria. All observational studies with univariate and/or multivariate analysis were eligible for inclusion if they studied the correlation between preoperative pain sensitivity parameters and postoperative pain outcomes (i.e., acute postoperative pain intensity, analgesic consumption, and chronic postoperative pain existence or intensity). Moreover, the included studies must have met these criteria: human trials, adult patients 18 yr or older, and published in English.
Quality Assessment of the Studies
Two independent reviewers assessed quality by using the criteria shown in table 1
, and any disagreements were resolved by discussion. If a resolution could not be reached, the opinions of the senior authors were sought. The practical guideline of evaluation of the quality of prognosis studies was used for appraisal of the included studies.14
The assessment was based on four categories: sampling, measurement, statistical analysis, and follow-up (table 1
). We did not adopt a scoring system because it is not necessarily a scientific approach.14
We evaluated each of the categories separately in every study. Each category was composed of different questions that could be answered “yes,” “no,” “unclear,” or “not applicable.” If all the applicable questions in a category were answered “yes,” the category was considered fully met. If the category had half or more than half the questions answered “yes,” the study was considered partly met, and if less than half of the questions were answered “yes,” the category was considered unsure. Finally, the category was considered not met if all the related questions were answered as “no.”
Data Extraction, Data Analysis, and Conclusion Synthesis
Data extraction was performed by two reviewers and validated by the senior author. The following data were extracted from each study: sample size, type of surgery, patient demographic data, measures of predictive preoperative factors, type of pain stimulus and instruments used for preoperative pain sensitivity, the methods of pain sensitivity testing, outcome measures, time course of the assessment, type of statistical methods (univariate vs. multivariate analysis), coefficient of regression (β), the squared multiple correlation (R2) of the regression models, coefficient of correlation (r) in the bivariate linear regression analysis, and the respective P values. The review included two primary outcomes: (1) postoperative pain intensity, which includes acute postoperative pain and/or chronic or persisting pain as defined in each study; and (2) the amount of postoperative analgesic consumption. Each article was assessed to verify whether the preoperative pain sensitivity parameters were significantly (P value less than 0.05) correlated with the postoperative outcomes of the study and to determine the direction of the correlation (+, direct correlation; −, reverse correlation). The results are presented in summary tables that are used for descriptive analysis and conclusion synthesis. Meta-analysis of the results (e.g., pooling of the correlation coefficients) was not feasible because of obvious clinical inconsistency among the studies in terms of their design (e.g., type of pain stimulus or statistical analysis).
Measures of Preoperative Pain Sensitivity
is considered the level of the stimulus at which the participants perceived the first painful sensation (i.e.
, the nonpainful stimulus changed into a painful stimulus). Pain tolerance
is considered the level of stimulation that is perceived by the participants as intolerable pain. Intensity of suprathreshold pain
is the amount of pain that a patient perceives after a stimulus with intensity higher than the patient's pain threshold. Temporal summation of pain
is a dynamic measure of pain sensitivity that reflects the central sensitization of pain after repetitive painful stimulation and is calculated as the difference between the pain score evoked by a single stimulus and the pain score evoked by trains of several stimuli delivered later.15,16
Another dynamic pain measure is diffuse noxious inhibitory control
, which reflects the pain-inhibits-pain phenomenon and is defined as pain reduction during exposure to another painful stimulus (conditioning stimulus) at a remote body area (e.g.
, immersion of the other hand in hot water).17,18
Literature Search and Study Characteristics
The search strategy resulted in an initial yield of 1,291 citations. After reviewing the titles and the abstract of the studies, 1,072 and 145 records were found irrelevant, respectively. Subsequently, 59 studies were excluded for various reasons, including animal studies, duplicate reports of the same study in different journals, studies published in the non-English language, a narrative review article,15
a study on healthy volunteers not undergoing surgery,17
and a study without the postoperative pain outcomes (fig. 1
Finally, 15 studies (n = 948 patients) were included in the analysis of this systematic review.
Six studies originated from Scandinavia, three from the rest of Europe, four from Israel, one from the United States, and one from Asia. The studies were published from 2001 to 2009. The characteristics of all the included studies are shown in table 2
. The studies were variable in terms of sample size, type of surgery, patient demographics, and type of instruments used to measure the variables. The mean sample size was 54 with a range of 20–165 patients. The most common type of surgery was gynecological procedures followed by thoracic orthopedic surgery and laparoscopic abdominal surgery. The average age of the patients ranged from 18 to 69 yr (table 2
Methodologic Quality of the Studies
The details of the quality assessment of each study can be found in table 1
. Only two studies (13.3% of all the included studies) partially or fully met each category of the quality assessment.11,18
The remaining studies had at least one category of the quality assessment considered unsure or not met. In terms of sampling
, 12 studies fully or partially met the criteria and 3 studies were considered unsure. Regarding the validity of the measurements
, three studies fully met the quality criteria, whereas the remaining studies partially met these criteria because they did not clearly report whether the preoperative measurements were blinded from the postoperative assessment. The most common limitation among all the included studies was in the analysis
category because none of the studies fully met its criteria (table 1
). This was due to the lack of multivariate analysis, insufficient measures to avoid collinearity or overfitting, and the lack of external validation of the multiple regression models. Finally, in terms of follow-up
completeness, 12 studies fully or partially met the criteria, and the remaining studies were considered unsure. Because of insufficient raw data from the included studies, it was not possible to perform the sensitivity analysis to determine the effect of this quality assessment on the synthesis of the final conclusion.
Preoperative Assessments of Pain Sensitivity
The timing of the preoperative pain assessment was reported in 14 of 15 included studies. The preoperative pain evaluations were performed 1–4 weeks before surgery in three studies10,11,20
or 1–3 days before surgery in nine studies. In two studies, the assessments were carried out on the day of surgery either at the preoperative holding area21
or in the operating theater.22
Three types of pain stimuli were applied: thermal (heat and cold) in 10 studies, pressure in 5 studies, and electrical pain in 4 studies. Several studies examined more than one type of pain stimulus such that the total number may exceed the total number of the included studies.
Thermal pain, which was used in 10 studies, was the most common stimulus applied to evaluate pain sensitivity. Thermal stimuli were delivered by use of computerized thermal stimulators into different anatomical places, such as the forearm, calf, hands, or over the knee in patients undergoing knee replacement surgery (table 3
). In most studies, the thermal pain threshold was determined by application of a baseline temperature (e.g.
, 32°C), which was then gradually increased or decreased. Werner et al.10
assessed pain threshold within the area of a first-degree burn injury, which was induced on the calf for the study purposes. In the study by Bisgaard et al.
patients were asked to immerse the nondominant hand into ice water (0–1°C) to measure cold pain threshold.
Pressure stimulus, which was used in five studies, was the second most common type of pain stimulation. Pressure stimuli were delivered by use of a handheld pressure applier or a series of calibrated rigid filaments (von Frey hairs). These hairs are made from nylon filaments of varying diameters and are used to apply a precise force over the skin (i.e.
, point pressure) for pressure pain analysis.24
The pressure stimulation was applied over the forearm, fingers, and knee or within the area of a first-degree burn on the calf (table 3
Electrical stimulus was the least common type of pain stimulation, and it was used in four studies (26.6% of all the included studies).20,22,25,26
Electrical stimuli were delivered by use of an electrical stimulation device (table 3
). These instruments provided constant current stimulations, despite the variable skin resistance. The electrical stimuli were applied over the fingers, thighs, arms, or the back next to the planned surgical incision.
Other Preoperative Measures
Anxiety, pain catastrophizing, and other psychological measures were among the most common variables evaluated before surgery in the included studies (table 3
). Preoperative anxiety was assessed using the State-Trait Anxiety Inventory and was shown to significantly correlate with postoperative pain in five studies.11,16,21,27,28
Pain catastrophizing was examined in three studies16,28,29
by use of the Pain Catastrophizing Scale, which contains questions about inability to inhibit pain-related thoughts, magnification of pain situations, helplessness, and expectations of negative outcomes. These studies showed a significant correlation between the Pain Catastrophizing Scale and the intensity of postoperative pain. In addition to preoperative anxiety and pain catastrophizing, Lautenbacher et al.16
also proposed pain hypervigilance, a strong attentional bias toward pain, as an important predictor of postoperative pain, which could explain approximately 17% of variation in the intensity of postoperative pain.
Correlation between Preoperative Variables and Postoperative Pain Outcomes
Postoperative Pain Intensity.
Acute postoperative pain was evaluated in 13 studies. Chronic postoperative pain was assessed in two studies. The assessment time was variable among the studies, ranging from the day of surgery, when the patient was in the postanesthesia care unit, to 2–10 days after surgery. In 61.5% (8 of 13) of the studies in this group, multiple regression analysis was used to evaluate the independent correlation between preoperative variables and postoperative pain intensity. The summary of the results of both multivariate and univariate analysis is shown in table 4
In univariate analyses, heat pain threshold (eight studies), suprathreshold heat pain (six studies), pressure pain threshold (four studies), and electrical pain threshold (three studies) were among the most common variables assessed in the included studies (table 4
). Of these variables, only suprathreshold heat pain was consistently shown to have significant correlation with the intensity of postoperative pain as reported in four studies. The coefficient of correlation (r
) for this variable ranged from 0.37 to 0.49 (all P
values less than 0.05).
In multivariate analyses, the most commonly studied variables were heat pain threshold (five studies) and suprathreshold heat pain (four studies). Suprathreshold heat pain was shown to have positive correlation with postoperative pain intensity in 75% of the studies. The coefficient of regression (β) and the squared multiple correlation (R2) ranged from 0.30 to 0.41 and from 0.17 to 0.59, respectively (all P values less than 0.05).
Chronic postoperative pain was examined in two studies. Yarnitsky et al.18
evaluated the development of chronic postthoracotomy pain at 29 weeks after surgery. This study showed that diffuse noxious inhibitory control was significantly related to pain as shown with both multivariate and univariate analysis. The logistic regression analysis showed that a 10-point reduction in the score of heat pain during exposure to another painful stimulus could decrease the risk of developing chronic pain by 52% (odds ratio = 0.52; 95% CI = 0.33–0.77; P
= 0.0024). Lundbald et al.25
showed that electrical pain threshold was significantly related to chronic pain 18 months after knee replacement surgery. The lower the threshold preoperatively, the higher the risk of developing chronic pain (odds ratio = 9.2; 95% CI = 1.69–50.1; P
Postoperative Analgesic Consumption.
The amount of postoperative analgesic consumption was reported as an outcome in five studies. The outcomes reported included the following: postoperative use of intravenous morphine using patient-controlled analgesia in three studies (table 3
), postoperative use of oral opioid and nonopioid analgesics,29
and postoperative use of patient-controlled epidural analgesia.16
The assessment period was from the postanesthesia care unit to 1–5 days after surgery. The summary of the results of both multivariate and univariate analysis is shown in table 5
In univariate analyses, heat pain threshold (four studies), suprathreshold heat pain (three studies), and pressure pain threshold (three studies) were among the most common variables assessed in the included studies (table 5
). Similar to the results of multivariate analysis, only suprathreshold heat pain was relatively associated with consistent findings in the studies. Two of the three studies on this factor showed that there was a positive correlation between the suprathreshold heat pain and the amount of postoperative analgesic consumption. The coefficient of correlation (r) for this variable was 0.48 and 0.63 (all P
values less than 0.05) as reported by Pan et al.11
and Martinez et al.
Multivariate analysis was performed in only two studies. In these studies, suprathreshold heat pain failed to correlate with postoperative analgesic requirements. Heat pain threshold and pressure pain tolerance, each studied separately (i.e.
, Pan et al.11
and Hsu et al.
respectively), were the only factors found to be related to postoperative analgesic use in both multivariate and univariate analyses. Both factors had negative correlation with the amount of analgesics used after surgery (table 5
). The coefficient of regression (β) and the squared multiple correlation (R2
) ranged from −0.049 to −0.24 and from 0.27 to 0.46, respectively (all P
values were less than or equal to 0.01). Other factors were not related to postoperative analgesic consumption.
This systematic review includes 15 clinical studies on preoperative pain sensitivity testing and its correlation with postoperative pain outcomes. Thermal, pressure, and electrical stimuli were used in the included studies to measure various types of pain sensitivity variables. The techniques used in the preoperative assessments were reviewed and summarized in detail. An important finding of this systematic review was that the response to suprathreshold heat pain could consistently predict postoperative pain outcomes, whereas no significant correlation was consistently found between heat pain threshold and postoperative pain. Suprathreshold heat pain was shown to have a positive correlation with postoperative pain. A definite conclusion could not be drawn regarding the correlation between other preoperative pain measures and postoperative pain because they were either associated with conflicting results (e.g., pain threshold) or analyzed only in individual studies (e.g., pain tolerance and temporal summation).
Pain threshold reveals the transition point between painful and nonpainful sensations but does not necessarily represent the patient's experience of a clinically painful situation. Suprathreshold painful stimuli, which are at a level between pain threshold and tolerance, may more closely mimic the pain experience caused by surgical trauma. Therefore, it may be suggested that although pain threshold, suprathreshold pain, and pain tolerance are all considered static
measures of pain sensitivity,15
they refer to different points in our experience of pain and have different prognostic values in predicting the subsequent clinical pain. Similar to the results of this review, experimental genetic studies in mice showed that suprathreshold, not the baseline pain threshold, had the best correlation with postoperative pain, possibly because only the former is thought to activate central pain modulatory systems or is genetically linked to hypersensitivity.31
It also should be noted that these findings were observed mainly in the studies on healthy female patients undergoing elective cesarean section or gynecologic procedures.9,27,29
On the other hand, studies of mixed-gender populations28
or of patients with preoperative pathologic pain30
failed to show the superiority of suprathreshold pain over the pain threshold for predicting postoperative pain intensity. This discrepancy may be related to the following factors:
Female sex may be a confounding factor that is related to both postoperative pain outcomes and preoperative pain sensitivity parameters. A meta-analysis of the results of studies on postsurgical pain predictors showed that female sex is moderately related to postoperative pain severity.8
In addition, a meta-analysis of studies on experimental pain sensitivity showed that there was a weak but statistically significant correlation between sex and thermal pain threshold (i.e.
, the male subjects' mean pain threshold was higher than female subjects).32
In our review, approximately half of the studies were gender-specific surgery (men or women), so the effect of gender could not be analyzed in these studies.
Pain threshold has been shown to be increased in pregnant humans. In this regard, Carvalho et al.33
showed that heat pain tolerance was significantly increased in pregnant women before and after delivery compared with nonpregnant control subjects. The exact mechanism of this phenomenon has not yet been established in human studies, but animal studies showed that activation of the endorphin system and increased circulating estrogen and progesterone may cause pregnancy-induced nociceptive changes.34–36
Pathologic chronic pain can also modulate our response to an experimental painful stimulus. In this regard, Martinez et al.30
showed that during preoperative assessments, the responses to the suprathreshold heat stimuli were significantly increased on the operative knee compared with the intact knee. Therefore, there is some degree of hyperalgesia in the affected knee, mainly as a result of peripheral nerve sensitization caused by inflammatory mediators, such as prostaglandins and other cytokines.30
The confounding effect of emotional factors such as preoperative anxiety and pain catastrophizing on preoperative pain sensitivity, as well as postoperative pain values, has not been fully evaluated among the included studies. The assessment of pain sensitivity may not reflect the complex emotional and psychological postoperative pain experience. Anxiety and psychological stress were found to be predictors of postoperative pain and analgesic consumption, respectively.8
In addition, the impact of anxiety or nervousness on pain threshold has been shown in human and animal studies.37–39
Therefore, emotional factors may affect the results of correlational studies on postoperative pain, and the results need to be adjusted using multivariate analysis. This was carried out in less than half of the included studies. However, our results show that suprathreshold heat pain is an independent predictor of postoperative pain.
The results of this systematic review should be interpreted considering the following limitations of the review and the included studies. The significant heterogeneity of the included studies precluded a meta-analysis of the results (i.e.
, pooling of the regression coefficients) (table 3
). The methodologic quality of the studies showed that the majority had only univariate analysis rather than multivariate analysis (i.e.
, the analysis of multiple variables simultaneously). Therefore, the results of these studies could have been affected by other confounding factors, such as demographics or emotional factors. In the studies with multivariate analysis, major problems such as unblinded measurements, as well as lack of external validation of the regression models, were noticed. In addition, two of the three studies with a positive correlation between preoperative suprathreshold heat pain and postoperative pain outcome27,29
have a number of uncertain factors, specifically relating to multivariate analysis but, to some extent, even sampling. Because there are very few studies with adequate methodologic quality, sensitivity analysis to evaluate the effect of the validity on the conclusion could not be carried out in this review. Therefore, the conclusion is based on the results of the studies with different quality.
None of the included studies mentioned whether they were statistically powered to eliminate the risk of type II error in their analysis. Therefore, the no correlation
findings in the studies (table 4 and 5
) may not mean that there is no relationship between the study variable but may be due to a relatively small sample size or other factors that could affect the precision of a correlational study. Finally, low predictability values of the existing multivariate models on preoperative pain sensitivity parameters (R2
= 0.17–0.59 for postoperative pain and 0.27–0.46 for postoperative analgesic consumption) may indicate that there are other potentially important predictors that have not been measured and/or analyzed in the included studies.
The generalizability of the results of this review should be carried out cautiously considering the following factors. A major percentage of the studies were from Western countries, and there is only one article from Asia. Only a few studies reported the American Society of Anesthesiologists' classification; thus a general assessment of the patient's medical condition cannot be made from the studies. The perioperative pain sensitivity was studied at various time intervals up to 4 weeks before planned surgery and up to 7 days postoperatively. In the studies that showed a significant correlation between suprathreshold heat pain and postoperative pain outcomes, the preoperative assessment was performed 1–3 days before surgery and postoperative assessment was done 1–2 days after surgery (table 3 and 4
). Therefore, these results do not necessarily apply to the longer assessment periods.
In conclusion, the results of this systematic review suggest that high levels of pain intensity evoked by a suprathreshold heat stimulus were most consistently associated with higher postoperative pain. These results, however, apply only to female patients, because this correlation was not found in studies including male patients. Therefore, suprathreshold heat pain can be suggested as an important predictor of postoperative pain in female patients. More research is required to establish the correlation of other pain sensitivity variables with postoperative clinical pain and to evaluate the effect of sex differences on these correlations. In addition, the correlation between pain sensitivity and other predictors of postoperative pain (e.g., anxiety) need to be assessed with multivariate analysis.
1. Beattie WS, Buckley DN, Forrest JB: Epidural morphine reduces the risk of postoperative myocardial ischaemia in patients with cardiac risk factors. Can J Anaesth 1993; 40:532–41
2. Tsui SL, Law S, Fok M, Lo JR, Ho E, Yang J, Wong J: Postoperative analgesia reduces mortality and morbidity after esophagectomy. Am J Surg 1997; 173:472–8
3. Ballantyne JC, Carr DB, deFerranti S, Suarez T, Lau J, Chalmers TC, Angelillo IF, Mosteller F: The comparative effects of postoperative analgesic therapies on pulmonary outcome: Cumulative meta-analyses of randomized, controlled trials. Anesth Analg 1998; 86:598–612
4. Kehlet H, Holte K: Effect of postoperative analgesia on surgical outcome. Br J Anaesth 2001; 87:62–72
5. Kehlet H, Jensen TS, Woolf CJ: Persistent postsurgical pain: Risk factors and prevention. Lancet 2006; 367:1618–25
6. Hayashida M, Nagashima M, Satoh Y, Katoh R, Tagami M, Ide S, Kasai S, Nishizawa D, Ogai Y, Hasegawa J, Komatsu H, Sora I, Fukuda K, Koga H, Hanaoka K, Ikeda K: Analgesic requirements after major abdominal surgery are associated with OPRM1 gene polymorphism genotype and haplotype. Pharmacogenomics 2008; 9:1605–16
7. Sia AT, Lim Y, Lim EC, Goh RW, Law HY, Landau R, Teo YY, Tan EC: A118G single nucleotide polymorphism of human mu-opioid receptor gene influences pain perception and patient-controlled intravenous morphine consumption after intrathecal morphine for postcesarean analgesia. Anesthesiology 2008; 109:520–6
8. Ip HY, Abrishami A, Peng PW, Wong J, Chung F: Predictors of postoperative pain and analgesic consumption: A qualitative systematic review. Anesthesiology 2009; 111:657–77
9. Granot M, Lowenstein L, Yarnitsky D, Tamir A, Zimmer EZ: Postcesarean section pain prediction by preoperative experimental pain assessment. Anesthesiology 2003; 98:1422–6
10. Werner MU, Duun P, Kehlet H: Prediction of postoperative pain by preoperative nociceptive responses to heat stimulation. Anesthesiology 2004; 100:115–9
11. Pan PH, Coghill R, Houle TT, Seid MH, Lindel WM, Parker RL, Washburn SA, Harris L, Eisenach JC: Multifactorial preoperative predictors for postcesarean section pain and analgesic requirement. Anesthesiology 2006; 104:417–25
12. Arendt-Nielsen L, Yarnitsky D: Experimental and clinical applications of quantitative sensory testing applied to skin, muscles and viscera. J Pain 2009; 10:556–72
13. Backonja MM, Walk D, Edwards RR, Sehgal N, Moeller-Bertram T, Wasan A, Irving G, Argoff C, Wallace M: Quantitative sensory testing in measurement of neuropathic pain phenomena and other sensory abnormalities. Clin J Pain 2009; 25:641–7
14. Hayden JA, Côté P, Bombardier C: Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med 2006; 144:427–37
15. Granot M: Can we predict persistent postoperative pain by testing preoperative experimental pain? Curr Opin Anaesthesiol 2009; 22:425–30
16. Lautenbacher S, Huber C, Kunz M, Parthum A, Weber PG, Griessinger N, Sittl R: Hypervigilance as predictor of postoperative acute pain: Its predictive potency compared with experimental pain sensitivity, cortisol reactivity, and affective state. Clin J Pain 2009; 25:92–100
17. Granot M, Weissman-Fogel I, Crispel Y, Pud D, Granovsky Y, Sprecher E, Yarnitsky D: Determinants of endogenous analgesia magnitude in a diffuse noxious inhibitory control (DNIC) paradigm: Do conditioning stimulus painfulness, gender and personality variables matter? Pain 2008; 136:142–9
18. Yarnitsky D, Crispel Y, Eisenberg E, Granovsky Y, Ben-Nun A, Sprecher E, Best LA, Granot M: Prediction of chronic post-operative pain: Pre-operative DNIC testing identifies patients at risk. Pain 2008; 138:22–8
19. Wilder-Smith CH, Hill L, Dyer RA, Torr G, Coetzee E: Postoperative sensitization and pain after cesarean delivery and the effects of single im doses of tramadol and diclofenac alone and in combination. Anesth Analg 2003; 97:526–33
20. Aasvang EK, Hansen JB, Kehlet H: Can preoperative electrical nociceptive stimulation predict acute pain after groin herniotomy? J Pain 2008; 9:940–4
21. Hsu YW, Somma J, Hung YC, Tsai PS, Yang CH, Chen CC: Predicting postoperative pain by preoperative pressure pain assessment. Anesthesiology 2005; 103:613–8
22. Wilder-Smith OH, Tassonyi E, Crul BJ, Arendt-Nielsen L: Quantitative sensory testing and human surgery: Effects of analgesic management on postoperative neuroplasticity. Anesthesiology 2003; 98:1214–22
23. Bisgaard T, Klarskov B, Rosenberg J, Kehlet H: Characteristics and prediction of early pain after laparoscopic cholecystectomy. Pain 2001; 90:261–9
24. Zimmer HG: The heart-lung machine was invented twice–the first time by Max von Frey. Clin Cardiol 2003; 26:443–5
25. Lundblad H, Kreicbergs A, Jansson KA: Prediction of persistent pain after total knee replacement for osteoarthritis. J Bone Joint Surg Br 2008; 90:166–71
26. Nielsen PR, Nørgaard L, Rasmussen LS, Kehlet H: Prediction of post-operative pain by an electrical pain stimulus. Acta Anaesthesiol Scand 2007; 51:582–6
27. Rudin A, Wölner-Hanssen P, Hellbom M, Werner MU: Prediction of post-operative pain after a laparoscopic tubal ligation procedure. Acta Anaesthesiol Scand 2008; 52:938–45
28. Weissman-Fogel I, Granovsky Y, Crispel Y, Ben-Nun A, Best LA, Yarnitsky D, Granot M: Enhanced presurgical pain temporal summation response predicts post-thoracotomy pain intensity during the acute postoperative phase. J Pain 2009; 10:628–36
29. Strulov L, Zimmer EZ, Granot M, Tamir A, Jakobi P, Lowenstein L: Pain catastrophizing, response to experimental heat stimuli, and post-cesarean section pain. J Pain 2007; 8:273–9
30. Martinez V, Fletcher D, Bouhassira D, Sessler DI, Chauvin M: The evolution of primary hyperalgesia in orthopedic surgery: Quantitative sensory testing and clinical evaluation before and after total knee arthroplasty. Anesth Analg 2007; 105:815–21
31. Strong JA: Genetics of pain: Lessons for future studies. Int Anesthesiol Clin 2007; 45:13–25
32. Riley JL 3rd, Robinson ME, Wise EA, Myers CD, Fillingim RB: Sex differences in the perception of noxious experimental stimuli: A meta-analysis. Pain 1998; 74:181–7
33. Carvalho B, Angst MS, Fuller AJ, Lin E, Mathusamy AD, Riley ET: Experimental heat pain for detecting pregnancy-induced analgesia in humans. Anesth Analg 2006; 103:1283–7
34. Gintzler AR: Endorphin-mediated increases in pain threshold during pregnancy. Science 1980; 210:193–5
35. Sander HW, Gintzler AR: Spinal cord mediation of the opioid analgesia of pregnancy. Brain Res 1987; 408:389–93
36. Jarvis S, McLean KA, Chirnside J, Deans LA, Calvert SK, Molony V, Lawrence AB: Opioid-mediated changes in nociceptive threshold during pregnancy and parturition in the sow. Pain 1997; 72:153–9
37. Vedolin GM, Lobato VV, Conti PC, Lauris JR: The impact of stress and anxiety on the pressure pain threshold of myofascial pain patients. J Oral Rehabil 2009; 36:313–21
38. Roeska K, Ceci A, Treede RD, Doods H: Effect of high trait anxiety on mechanical hypersensitivity in male rats. Neurosci Lett 2009; 464:160–4
39. Lehofer M, Liebmann PM, Moser M, Schauenstein K: Nervousness and pain sensitivity: I. A positive correlation. Psychiatry Res 1998; 79:51–3
This article has been cited 8 time(s).
Journal of Pain and Symptom ManagementAlteration in Pain Modulation in Women With Persistent Pain After Lumpectomy: Influence of CatastrophizingJournal of Pain and Symptom Management
European Journal of PainCan quantitative sensory testing predict responses to analgesic treatment?European Journal of Pain
SchmerzSelf-rated pain sensitivity and postoperative painSchmerz
European Journal of PainPreoperative scar hyperalgesia is associated with post-operative pain in women undergoing a repeat Caesarean deliveryEuropean Journal of Pain
Journal of Perianesthesia NursingIntraoperative Positioning of Patients Under General Anesthesia and the Risk of Postoperative Pain and Pressure UlcersJournal of Perianesthesia Nursing
Current Pain and Headache ReportsConditioned Pain Modulation: A Predictor for Development and Treatment of Neuropathic PainCurrent Pain and Headache Reports
PainPrediction of postoperative pain by preoperative pain response to heat stimulation in total knee arthroplastyPain
British Journal of AnaesthesiaEvaluation of experimental pain tests to predict labour pain and epidural analgesic consumptionBritish Journal of Anaesthesia
© 2011 American Society of Anesthesiologists, Inc.
Publication of an advertisement in Anesthesiology Online does not constitute endorsement by the American Society of Anesthesiologists, Inc. or Lippincott Williams & Wilkins, Inc. of the product or service being advertised.