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Journal of Pain Research logoLink to Journal of Pain Research
. 2022 Nov 8;15:3537–3546. doi: 10.2147/JPR.S385910

Predictive Value of Pain Sensitization Associated with Response to Exercise Therapy in Patients with Knee Osteoarthritis: A Prospective Cohort Study

Takafumi Hattori 1,2,, Satoshi Ohga 3, Kazuhiro Shimo 3, Yuto Niwa 1, Yuji Tokiwa 1, Takako Matsubara 1,3
PMCID: PMC9653041  PMID: 36394057

Abstract

Purpose

Knee osteoarthritis (KOA) is a degenerative disease with inflammation, becoming persistent as it progresses, resulting in reduced quality of life. Exercise is the recommended treatment for KOA; however, the extent of pain reduction with exercise is heterogeneous and the prognostic implications of baseline factors in patients undergoing exercise are still unknown. This study examined the association between the response to exercise therapy and clinical outcomes, radiologic severity, and pain sensitization, and investigated the optimal predictive value for the effectiveness of exercise.

Patients and Methods

Demographics, radiologic severity, pressure pain threshold (PPT), and temporal summation of pain (TSP) at the knee, tibia, and forearm were assessed at baseline. The pain numeric rating scale (NRS) was assessed before and after 12 weeks of exercise. Patients were divided into responder/non-responder groups according to recommended criteria: responder, ≥30% reduction in pain; non-responder, <30% reduction in pain, and each variable was compared between the groups. The area under the curve (AUC) and cutoff points were determined by receiver operating characteristic curve analysis.

Results

Sixty-five patients were categorized as responders and 26 as non-responders. In the non-responder group, baseline NRS (P<0.01), pain duration (P<0.01), and TSP at the knee (P<0.001) and tibia (P<0.05) were significantly higher, and PPT at the knee (P<0.001), tibia (P<0.001), and forearm (P<0.001) were significantly lower, than those in the responder group; however, no significant differences between groups were found in other demographics and radiologic severity. The variables that showed moderate or better predictive ability (AUC≥0.7) were PPT at the knee (cutoff points: 241.5 kPa), tibia (307.5 kPa), forearm (318.5 kPa), and TSP at the knee (15.5 mm).

Conclusion

Our findings suggest that pain sensitization is associated with the response to exercise therapy. Furthermore, we provide clinically predictive values for PPT and TSP in predicting the outcome to exercise in KOA.

Keywords: pressure pain threshold, temporal summation of pain, cutoff point, prognostic prediction

Introduction

Knee osteoarthritis (KOA) is the most common painful musculoskeletal disorder.1,2 Over the past 20 years, there has been a noticeable increase in the prevalence of KOA, and this trend is predicted to continue.3 In Japan, the Research on Osteoarthritis Against Disability study has reported a high prevalence of KOA.4 Further, in many developed nations, the rising cost of treating KOA is deemed unsustainable; thus, efforts should be made to optimize the algorithm of treatment.

The goal of the management of KOA aims to improve function and the health-related quality of life while managing pain.5 In clinical guidelines, exercise and patient education, which are non-pharmacological treatments, are recommended.5 Participation in an exercise program may improve pain, physical function, depression, self-efficacy, and social function in patients with KOA;6 however, the effect size of exercise in pain reduction is only moderate.7 In clinical practice, patients with KOA are classified into responders and non-responders to exercise therapy, and different pain mechanisms may be related to the difference in treatment response between responders and non-responders. Predicting responses to exercise at baseline is beneficial for selecting exercise modalities and combinations with other treatments in patients with a low response to exercise. It is necessary to examine the characteristics associated with the exercise response to optimize interventions.

Several risk factors are associated with poor treatment outcomes in KOA. Surgical studies have shown that even preoperative radiologic severity is not necessarily associated with postoperative pain after total knee arthroplasty (TKA), and a low Kellgren–Lawrence (KL) grade is a risk factor for poor postoperative outcomes.8 Recently, enhanced pain sensitization is among the risk factors for chronic postsurgical pain after TKA;8–10 this suggests that pain sensitization may contribute to chronic joint pain or response to treatment.9–13

Quantitative sensory testing (QST) is a clinical method for assessing responses to sensory stimuli, and is used as an indicator of changes in the neural function of the somatosensory system.14–16 In QST parameters, the pressure pain threshold (PPT) and temporal summation of pain (TSP) have been specifically used as measures of pain sensitization.17–19 However, the association between the response to exercise therapy and pain sensitization remains unclear in studies conducted on exercise therapy.20,21 Moreover, QST has not been established as a clinical assessment because its predictive value for predicting exercise responsiveness is still unknown.

This study aimed to investigate the association between the response to exercise therapy and clinical outcomes, radiologic severity, and pain sensitization. We also investigated the discriminative ability and optimal predictive value of associated variables for identifying responders and non-responders to exercise therapy.

Materials and Methods

Participants

In this prospective cohort study, patients with KOA, who were newly referred for physiotherapy by an orthopedic surgeon, were identified at the Maehara Orthopedic Rehabilitation Clinic in Obu, Japan, between April 1, 2021 and July 31, 2022.

The inclusion criteria were as follows: age ≥50 years, a diagnosis of KOA confirmed by radiographic findings (KL grade ≥1), and knee pain ≥3/10 on a numeric rating scale (NRS) for at least 6 months. In addition, the exclusion criteria were as follows: systemic inflammatory disease, cognitive impairment, severe medical comorbidities (eg, cardiovascular disease, cerebrovascular disease, and cancer), any type of surgery within the past 6 months, presence of other pain problems (eg, neck and low back pain), and leg pain and numbness referred from the lumbar spine.

Approval was obtained from the Institutional Ethics Committees of Kobe Gakuin University in Kobe, Japan (No.: 19–23) and Maehara Orthopedic Rehabilitation Clinic in Aichi, Japan (No.: 19–001), and written informed consent was obtained from all patients prior to the study.

Procedures

Demographic data, clinical pain intensity, radiologic severity, and QST were collected at baseline, and all patients underwent 12 weeks of exercise therapy. Pain intensity was assessed before and after exercise therapy. Patients were divided into responder and non-responder groups according to the criteria recommended by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT): responder, ≥30% (moderate) reduction in pain; non-responder, <30% reduction in pain, compared with the pain rating before the exercise therapy.22

Demographic Data and Clinical Pain Intensity

At the baseline visit, data were collected on demographic characteristics (age, sex, body mass index [BMI], NRS, and pain duration). NRS was defined as the peak pain in the past week.

Radiologic Severity

All patients underwent radiographic assessments by an orthopedic surgeon. Radiographic assessments were performed using the KL grade,23 reflecting changes in the entire joint structure.

Quantitative Sensory Testing

QST was conducted by an experienced physiotherapist and performed in a quiet, temperature-controlled room. Patients were placed in the supine position on a bed during QST; they were first accustomed to QST pressure stimulation, followed by PPT and TSP assessment. PPT and TSP were assessed using a hand-held pressure algometer (Algometer Type II, Somedic AB, Sweden) with a 1-cm2 contact probe;24,25 they were also assessed at the knee joint as a local site, the tibialis anterior (tibia, 5 cm distal to the tibial tuberosity), and extensor carpi radialis longus (forearm, 5 cm distal to the lateral epicondyle of the humerus) as control (remote) sites, on the affected side. Four test sites at the knee were assessed as follows: (1) 2 cm distal to the inferior medial edge of the patella; (2) 2 cm distal to the inferior lateral edge of the patella; (3) 3 cm lateral to the midpoint on the lateral edge of the patella; and (4) 3 cm medial to the mid-point on the medial edge of the patella.25 In the case of bilateral symptomatic KOA, the greater symptomatic knee was defined as the affected joint.

Pressure Pain Threshold

The PPT, the minimum necessary force to evoke pain, was assessed at each site by applying pressure.25 The PPT was measured twice at each site, and the mean value was used in the analysis. The knee PPT was defined as the site with the lowest PPT among the four sites at the knee joint.

Temporal Summation of Pain

TSP, increasing pain evoked by sequential pain stimulation, consisted of ten pressure stimuli (1-s in duration, with a 1-s interval).26,27 The pressure intensity was set at the PPT level.25 The skin contact between individual pressure stimulations was maintained at a very low intensity, such that the patients felt no pain. Patients indicated the pressure pain intensity on a visual analog scale (VAS), with “0” indicating “no pain”, and “100” indicating the “worst possible pain.” TSP was calculated by subtracting the pain VAS at the 1st stimulus from that at the 10th.28 The knee TSP was assessed at the site with the lowest PPT.25

Intervention

Patients underwent 12 weeks of exercise therapy, with 40 minutes per session once a week at the clinic, and home exercise, with at least 20 minutes 3 times a week.29,30 Recent studies in KOA have recommended 8–12 weeks of exercise therapy.31 Exercise combined with patient education was individually supervised by five physiotherapists who had completed a workshop on non-pharmacologic treatments recommended in clinical practice guidelines. The exercise programs were individualized and progressive, considering the preferences and abilities of the patient.20,32 The exercise therapy consisted of the following prescription: neuromuscular exercise, aerobic exercise, strength exercises, and stretching.6,32–34 The physiotherapist checked the patient’s home exercise practices based on their self-recorded activity diaries during exercise sessions completed at the clinic. If they complained of increased pain, the intensity of exercise was temporarily decreased, and the physiotherapist instructed them on exercises and lifestyle modifications to reduce the mechanical load on the joints. Adverse events occurring during clinic exercise sessions were recorded. The patient education focused on osteoarthritis disease characteristics and symptoms, etiology of KOA, mechanism of joint pain, risk factors, effects of exercise, coping strategies, and self-management.35

Data Analyses

Data are presented as mean ± standard deviation (SD). The data normality of the study was assessed with the Kolmogorov–Smirnov test. Demographic data and QST parameters were compared between responder and non-responder groups using the Student’s t-test, Mann–Whitney U-test, and Fisher’s exact test, as appropriate. We used “R” as calculated by Z-translation to evaluate the magnitude of the effect size (R=Z/√N).36 Furthermore, receiver operating characteristic (ROC) curve analysis was performed to examine the cutoff point, sensitivity, and specificity for predicting the response to exercise for variables that differed between groups. Additionally, the area under the curve (AUC) was evaluated to assess the discrimination ability; AUC closer to 1 indicates better, whereas AUC closer to 0.5 indicates poorer overall diagnostic performance.37 AUC ≥0.9 indicates high accuracy, 0.7–0.9 indicates moderate accuracy, 0.5–0.7 indicates low accuracy, and 0.5 indicates a chance result.38 The AUC is presented with the associated confidence interval (CI). The Youden Index (Sn+Sp−1) was defined as the cutoff point.39 Statistical analyses were performed using SPSS version 27 (IBM Corporation, Armonk, NY, USA). P-values <0.05 were considered statistically significant.

The minimal required sample size per group was determined as 24 participants (power: 80%, AUC: 0.7). Based on the assumption that approximately 30% of participants would be deemed as non-responders by IMMPACT criteria, a total sample size of 100 participants was calculated as necessary to account for a 20% loss to follow up.

Results

The study recruited 108 patients, and 17 patients discontinued outpatient visits because of personal reasons. Therefore, the final number of participants who participated in the analyses was 91. The patients who dropped out were not significantly different from those who completed follow-up assessments in terms of age (P=0.334), sex (P=0.688), BMI (P=0.176), pain duration (P=0.835), and baseline NRS (P=0.871). No patient reported any treatment-specific adverse events.

Demographic Data and Clinical Pain Intensity

Demographic and clinical pain intensity data are shown in Table 1. In total, 65 patients were categorized into the responder group and 26 into the non-responder group. No significant differences between the groups were found in age (P=0.310), sex (P=0.411), and BMI (P=0.160). However, there were significant differences between the groups in pain duration (R=0.274, P<0.01), baseline NRS (R=0.275, P<0.01), and follow-up NRS (R=0.732, P<0.001). The number of patients using non-steroidal anti-inflammatory drugs (NSAIDs), duloxetine, and opioids was 27 (41.5%), 0 (0%), and 0 (0%) in the responder group and 20 (76.9%), 3 (11.5%), and 1 (3.8%) in the non-responder group, respectively. The ratio of patients who used NSAIDs (P<0.001) and duloxetine (P<0.05) was significantly higher in the non-responder group than in the responder group.

Table 1.

Demographic Data in Responder and Non-Responder Groups

Variables Responder Group Non-Responder Group P
No. patients, n (%) 65 (71.4) 26 (28.6)
Age, mean ± SD 67.6±9.2 69.7±10.3 0.310
Sex (percentage female) 75.3 84.6 0.411
BMI, mean ± SD (kg/m²) 24.3±3.9 25.1±3.3 0.160
Pain duration, mean ± SD (months) 39.4±41.6 69.3±56.3 <0.01
Baseline NRS 5.0±1.7 6.1±1.9 <0.01
KL grade
 1 26 (40.0) 9 (34.6) 0.401
 2 22 (33.9) 6 (23.1)
 3 14 (21.5) 10 (38.4)
 4 3 (4.6) 1 (3.9)

Abbreviations: SD, standard deviation; BMI, body mass index; NRS, numerical rating scale; KL, Kellgren–Lawrence.

Radiologic Severity

Radiologic severity data are shown in Table 1. No significant differences between the groups were found in the KL grade (P=0.401).

Quantitative Sensory Testing

Figure 1 shows the results of the comparisons between the responder and non-responder groups in PPT and TSP. PPT at the knee (responder group: 355.4±140.2; non-responder group: 176.5±89.7; R=0.576, P<0.001), tibia (responder group: 426.6±145.8; non-responder group: 249.2±92.7; R=0.517, P<0.001), and forearm (responder group: 351.9±108.6; non-responder group: 253.2±92.7; R=0.393, P<0.001) was significantly lower in the non-responder group than in the responder group. TSP at the knee (responder group: 9.2±11.4; non-responder group: 24.5±17.6; R=0.425, P<0.001) and tibia (responder group: 7.3±7.6; non-responder group: 15.9±14.7; R=0.255, P<0.05) was significantly higher in the non-responder than in the responder group. TSP at the forearm did not significantly differ between the groups (responder group: 7.8±6.6; non-responder group: 11.3±8.8; P=0.094).

Figure 1.

Figure 1

PPT and TSP at the knee, tibia, and forearm in the responder (white) and non-responder groups (gray).

Notes: Significant differences between the groups were found for PPT at all measurement sites and TSP at the knee and tibialis anterior. No significant difference is observed in TSP at the extensor carpi radialis longus. *P<0.05; ***P<0.001.

Abbreviations: PPT, pressure pain threshold; TSP, temporal summation of pain; VAS, visual analog scale.

Predictive Value on ROC Curve Analysis

Table 2 shows the AUC, recommended cutoff points, sensitivity, and specificity values from the ROC curve analysis. For pain duration, the AUC distinguishing responder and non-responder groups was 0.674, and the cutoff point was 42.0 months (sensitivity, specificity: 65.4%, 66.2%). Regarding baseline NRS, the AUC was 0.673, and the cutoff point was 4.5 (sensitivity, specificity: 80.8%, 47.7%). For the knee PPT, the AUC was 0.868, and the cutoff point was 241.5 kPa (sensitivity, specificity: 81.5%, 84.6%). Regarding the tibial PPT, the AUC was 0.849, and the cutoff point was 307.5 kPa (sensitivity, specificity: 83.1%, 73.1%). For the forearm PPT, the AUC was 0.754, and the cutoff point was 318.5 kPa (sensitivity, specificity: 64.6%, 76.9%). For the knee TSP, the AUC was 0.771, and the cutoff point was 15.5 mm (sensitivity, specificity: 69.2%, 83.0%). For the tibia TSP, the AUC was 0.662, and the cutoff point was 14.0 mm (sensitivity, specificity: 53.8%, 89.2%). Accordingly, the knee, tibia, and forearm PPT and knee TSP showed moderate accuracy; in contrast, the tibia and forearm TSP showed low accuracy in distinguishing responders from non-responders.

Table 2.

AUC, Sensitivity, and Specificity for Recommended Cutoff Points

Variables AUC 95% CI Cutoff Point (Sensitivity, Specificity)
Pain duration (months) 0.674 0.550–0.798 42.0 (65.4%, 66.2%)
Baseline NRS 0.673 0.553–0.793 4.5 (80.8%, 47.7%)
Knee PPT (kPa) 0.868 0.790–0.947 241.5 (81.5%, 84.6%)
Tibia PPT (kPa) 0.849 0.768–0.930 307.5 (83.1%, 73.1%)
Forearm PPT (kPa) 0.754 0.650–0.859 318.5 (64.6%, 76.9%)
Knee TSP (mm) 0.771 0.653–0.889 15.5 (69.2%, 83.0%)
Tibia TSP (mm) 0.662 0.522–0.802 14.0 (53.8%, 89.2%)
Forearm TSP (mm) 0.613 0.472–0.753 16.5 (34.6%, 93.8%)

Abbreviations: AUC, area under the curve; CI, confidence interval; NRS, numerical rating scale; PPT, pressure pain threshold; TSP, temporal summation of pain.

Discussion

The aim of this study was to determine the association between the response to exercise therapy and clinical outcomes, radiologic severity, and pain sensitization, and the discriminative ability and optimal predictive value of associated variables for identifying responders and non-responders to exercise therapy. Although the radiologic severity did not significantly differ between responders and non-responders, non-responders were found to have severe pain intensity, long duration of pain, lower PPT, and facilitated TSP at local and remote sites before treatment. Additionally, variables with a greater predictive ability (AUC≥0.7) comprised the PPT at the knee (cutoff point: 241.5 kPa), tibia (307.5 kPa), and forearm (318.5 kPa), and TSP at the knee (15.5 mm). These recommended cutoff points showed moderate to high sensitivity and specificity. Accordingly, our findings suggest that pain sensitization was associated with pain reduction after 12 weeks of exercise therapy in patients with any severity of KOA.

Exercise therapy is the first line of treatment for KOA.5 However, the effectiveness of exercise therapy varies among individuals,29 and the pain mechanism in the peripheral and central nervous systems may differ between responders and non-responders to exercise therapy. It may be possible to provide tailor-made interventions by identifying factors associated with the prognosis. The pain mechanism in KOA can be assessed by biochemical markers for inflammation,40 spinal cord response,41 and brain activity42 on functional magnetic resonance imaging (MRI); however, these assessments are not useful in clinical practice. Conversely, QST can be used to evaluate pain sensitization in KOA at the bedside. If the characteristics, based on the pain mechanism by QST, in subgroups unresponsive to exercise therapy can be determined, it would be possible to provide tailored treatments to each subgroup. To the best of our knowledge, this is the first study to demonstrate the specific sites for QST assessment and cutoff points clinically useful in KOA.

The subgroup of patients with severe pain in KOA was characterized as having widespread pressure hyperalgesia.11,25 Furthermore, several previous studies have investigated the role of pain sensitization in the effectiveness of exercise therapy in KOA. A secondary analysis of a randomized controlled trial in KOA by Henriksen et al reported that PPT and TSP could not predict the response to 12 weeks of exercise.20 Contrarily, the recent study on KOA by O’Leary et al investigated QST parameters and psychosocial factors as predictors of outcomes after 6 months of physiotherapy and found that pain sensitization assessed by PPT and TSP predicted non-response.21 However, the appropriate assessment sites and predictive value for predicting outcomes were unclear because this study analyzed the QST results using principal component analysis. In the present study, the predictive ability, cutoff points, sensitivity, and specificity of PPT and TSP for predicting the response to exercise using ROC analysis were examined. It was found that the knee, tibia, and forearm PPT, including the knee TSP have an AUC≥0.7, and the recommended cutoff points showed moderate to high sensitivity and specificity. Thus, lower PPT and facilitated TSP may predict the response to exercise therapy.

Recent studies indicate that a high prevalence of pain sensitization in patients with KOA, at 20%; further, patients with pain sensitization have poorer quality of life compared to those without sensitization.43,44 Therefore, clarifying the role of sensitization in chronic joint pain has important clinical implications. Local PPT is an indicator of peripheral sensitization, signifying nociceptor activation.11,25 Repeated nociceptive input causes peripheral sensitization,11 which decreases the activation threshold and increases the responsiveness to pain in primary afferent nociceptors.45 Peripheral pain mechanisms in KOA originate in joint components, mainly in the synovium and subchondral bone.46 Neogi et al reported that lower knee PPT was correlated with the degree of synovitis on MRI.47 Our study found that the knee PPT in non-responders was lower than that in responders; thus, peripheral sensitization may have been induced more strongly in non-responders than in responders via joint inflammation. Furthermore, in a large cohort study (n=2126), almost all patients with KOA and chronic peripheral sensitization exhibited evidence of central sensitization.48 The present study also showed lower PPT in remote sites and facilitated TSP in non-responders compared to that in responders, suggesting central sensitization in non-responders. Animal studies have shown that their receptive fields increase when dorsal horn neurons are sensitized.49,50 In clinical practice, secondary hyperalgesia occurring in KOA is thought to reflect similar adaptations at the spinal level.51 Therefore, in patients with KOA who are non-responsive to exercise therapy, the central nervous system may have become hyperexcitable, in addition to peripheral sensitization.

Based on this study, exercise-induced hyperalgesia may be involved in non-response to exercise, although it is unclear why pain sensitization affected the response to exercise in the findings obtained. KOA pain usually worsens with exercise and is better at rest. Wideman et al reported that increased discomfort during walking was associated with facilitated knee TSP in KOA.52 Similarly, patients with hypersensitivity assessed by QST are more likely to have increased pain during walking in chronic low back pain.53 In the results obtained in this study, non-responders presented with lower PPT and facilitated TSP; therefore, pain sensitization may have attenuated the effects of exercise-induced hypoalgesia. Additionally, the non-responders had a higher rate of medication use than the responders; however, the outcomes after exercise therapy were poor. Therefore, individualized approaches that consider pain sensitization (eg, graded exercise, pain neuroscience education, and pharmacotherapy) may be necessary to optimize treatment in patients with pain sensitization.

This study has some limitations. First, we did not include a control group, which did not enable us to evaluate the natural course of pain and placebo response. Second, inflammatory findings were not evaluated. Although a previous study reported that bone marrow lesions were associated with walking pain in patients with KOA undergoing TKA,54 future studies should evaluate synovitis and subchondral bone on MRI. Third, the patients were recruited from a single institution in a primary care setting. Moreover, pain sensitivity may be affected by racial and skeletal differences;55 therefore, it should be taken into consideration that the results were obtained from only Asian patients with KOA. Fourth, although there were no differences in the characteristics at baseline between patients who dropped out and those who were able to complete the 12-week exercise program, we were unable to analyze the factors contributing to dropout, ie, interruption/discontinuation of outpatient visits, and this may have influenced the results of this study. Finally, pain duration and pain intensity at baseline may have been confounders in the results of this study. However, prior studies have shown that pain symptoms and pain duration are not necessarily associated with the response to treatment in KOA.29,56 Thus, the results of this study are interesting in highlighting the role of pain sensitization on poor outcomes after exercise therapy for knee OA.

Conclusion

Despite mild osteoarthritis severity, patients with KOA who were non-responsive to 12 weeks of exercise therapy demonstrated widespread hyperalgesia before treatment. Furthermore, the knee, tibia, forearm PPT, and knee TSP showed more than the moderate predictive ability for response to exercise therapy; we suggest that these QST parameters can be combined to predict treatment response. These findings are beneficial for outcome prediction and treatment selection in clinical practice.

Acknowledgments

The authors want to thank all the subjects examined in this study and the staff at the Department of Rehabilitation, Maehara Orthopedics Rehabilitation Clinic, for their support with data collection.

Data Sharing Statement

The authors confirm that the data underlying the findings described in this manuscript are available from the corresponding author upon reasonable request.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

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