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ORIGINAL RESEARCH article

Front. Pain Res., 25 April 2024
Sec. Veterinary and Comparative Pain
This article is part of the Research Topic Advancement in Equine Pain Management View all 11 articles

Pressure pain mapping of equine distal joints: feasibility and reliability

\r\nJana Gisler,
Jana Gisler1,2*Ludovica ChiavacciniLudovica Chiavaccini3Severin Blum,Severin Blum1,2Stphane MontavonStéphane Montavon2Claudia Spadavecchia
\r\nClaudia Spadavecchia1*
  • 1Department of Clinical Veterinary Medicine, Anaesthesiology and Pain Therapy Section, Vetsuisse Faculty, University of Bern, Bern, Switzerland
  • 2Veterinary Department of the Swiss Armed Forces, Bern, Switzerland
  • 3Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States

Background: Osteoarthritis is a prevalent degenerative joint disease initiating chronic pain and lameness in horses. While several objective gait analysis systems have been developed and validated to quantify lameness severity in horses, methods to evaluate whether peripheral sensitization contributes to the pain experienced are missing.

Objectives: To evaluate whether periarticular pressure pain mapping could be proposed as an auxiliary assessment tool in horses. Specific aims were to evaluate the feasibility and intra- and inter-rater reliability of pressure pain thresholds (PPT) determination at sites overlying the distal thoracic limb joints of clinically healthy horses.

Study design: Prospective, randomized validation study.

Methods: For feasibility assessment, PPT were measured with a hand-held digital algometer at six periarticular landmarks (2 sites per joint, 3 joints) bilaterally on the distal thoracic limb of 40 healthy horses (20 warmblood and 20 Freiberger). The joints tested were the metacarpophalangeal, on the latero-palmar and dorsal aspects (L-MCP and D-MCP), the proximal interphalangeal, on the dorsal and palmar aspect (D-PIP and P-PIP) and the distal interphalangeal, on the dorsal and lateral aspect (D-DIP and L-DIP). A feasibility score, ranging from 0 to 5, was attributed to each testing session. For intra- and inter-rater reliability assessment, L-MCP and D-MCP were selected to be tested again at 2 weeks intervals in 20 out of the 40 horses. Data were analyzed using a mixed-effect linear model to test differences in threshold per site and limb. Intra- and inter-rater correlation was calculated. Bland-Altman plots were performed to evaluate the variability of the measures.

Results: The procedure was considered feasible (score <2) in 95% of horses (95% CI 88%–100%). Overall, median [interquartile range (IQR)] PPT was 9.4 (7.5–11.3) N. No significant side differences were found. P-PIP and D-DIP recorded significantly lower PPT (p < 0.001 and p = 0.002, respectively) than L-MCP. Median (IQR) were 9.9 (7.3–12.4) N, 8.4 (6.1–10.5) N and 9.0 (7.4–10.6) N for L-MCP, P-PIP and D-DIP, respectively. The intra-rater agreement was 0.68 (95% CI 0.35–0.86) for L-MCP, and 0.50 (95% CI 0.08–0.76) for D-MCP. Inter-rater agreement was 0.85 (95% CI 0.66–0.94) for L-MCP and 0.81 (0.57, 0.92) for D-MCP.

Main limitations: Evaluation of feasibility was performed only for distal thoracic limbs joints; no data are provided for hind limbs or proximal joints. Only warmblood and Freiberger horses were included. Intra- and inter-rater reliability assessments were performed exclusively on data collected at the MCP joint.

Conclusion: Pressure pain mapping of distal thoracic limb joints was feasible in horses. Local sensitivity differed among sites and no side differences were noticed. Data collected from the MCP joint suggest highly variable, subject dependent intra-rater reliability, ranging from poor to good, and good to excellent inter-rater reliability. Further studies evaluating pathologic vs. healthy joints are needed before recommendations can be made about clinical usability and diagnostic validity.

1 Introduction

Osteoarthritis (OA) is a degenerative joint disease prevalent in horses as well as in many other species, including dogs, cats and humans. The predominant symptoms are chronic pain and lameness. Although the latter is the chief reason for impaired athletic performance and quality of life of affected horses, the mechanisms behind joint pain in OA are still poorly understood. Osteophytes and periosteal elevation, cartilage abnormalities, subchondral cysts, increased intraosseous pressure in the subchondral bone, bone marrow lesions and inflammation of the synovial membrane have all been reported to be potential local contributors to the generation of chronic pain accompanying OA (1, 2). However, strikingly, typical OA radiographic changes are only weak risk factors for the occurrence of pain and the severity of structural changes is not necessarily associated with pain intensity in both horses (3) and humans (4, 5). In contrast, the impairment of autonomic joint innervation, the plasticity of nociceptive fibers supplying periarticular structures, as well as the sensitization and dysfunction of descending pain inhibition mechanisms might be crucial promoters of pain development and maintenance in OA (2, 6). Which factor or factor combination predominates in individual patients remains to be determined.

While several objective gait analysis systems have been developed and validated to quantify lameness severity in horses (79), methods to evaluate whether simultaneous peripheral and central sensitization mechanisms are contributing to the pain experienced are missing. In humans, recently developed advanced and thorough sensory testing methods allow the characterization of the patient-specific OA pain phenotype (10, 11). For example, pressure pain sensitivity maps projected on tridimensional contour models can be constructed for individual patients and specific joints to obtain a visual impression of sensitivity distribution; similarly, using computer controlled mechanical stimulation, temporal summation can be assessed by repeating subthreshold stimulations and determining the extent of facilitation, which might reflect the presence of central sensitization. Such a personalized approach promotes mechanism-based therapy and, thus, better pain relief with fewer adverse effects (12). A validated, reliable and quantitative method to assess periarticular sensitivity in OA-affected horses is essential to establish the extent of peripheral sensitization involvement and, thus, to provide adequate and individualized treatment.

In humans and dogs, the non-invasive technique of pressure pain mapping, also known as pressure algometry or mechanical nociceptive threshold testing, has been used to quantify sensitization in several musculoskeletal conditions, including OA (1316). So far, pressure pain mapping has not been used to quantify naturally occurring OA-associated pain in horses. At the same time, it has been described to assess limb sensitization in a model of experimentally induced carpal OA (17). Several trials explored the usability of pressure algometry to evaluate back pain (18, 19) or alteration of limb sensitivity (20, 21) in equines, and a summarizing review of results obtained with this method in horses has been recently published (22). On the other hand, the feasibility and reliability of periarticular pressure pain mapping have never been evaluated in horses.

The study objectives were to evaluate the feasibility and intra- and inter-rater reliability of PPT measured bilaterally over the distal thoracic limb joints in healthy horses. It was hypothesized that: (1) pressure pain mapping of the distal equine joints would be feasible; (2) repeatability and reliability of PPT mapping would be overall acceptable.

2 Materials and methods

The study was approved by the Committee for Animal Experimentation of the Canton of Bern, Switzerland (license number BE81/2022). The trial was carried out at the National Equine Center in Bern from October 2022 to January 2023.

2.1 Horses

Forty healthy Swiss warmblood (n = 20) and Freiberger (n = 20) horses, mare and geldings, aged >3 years and belonging to the Swiss Armed Forces were included. Horses were kept in single stalls in large stables under standard housing conditions and were regularly ridden or driven. Prior to study inclusion, a complete physical examination was performed by army veterinarians (JG, SB) supervised by an experienced equine specialist (SM) (Supplementary Material Appendix S1 for details). Lameness was assessed using the Americal Association of Equine Practitioners (AAEP) scale (0–5, with 0 indicating a normal gait and 5 non-weight bearing lameness) on a hard, straight surface at walk and trot. Distal thoracic limb joints were visually observed and palpated. The degree of joint effusion, reaction to palpation and reaction to flexion were subjectively scored using a numerical rating scale (0 = absent; 1 = mild; 2 = moderate; 3 = severe).

To be included, horses had to be free of clinically detectable orthopedic, neurologic or systemic diseases and have no evidence of pain or mobility impairment. Lameness, joint effusion, reaction to palpation and to flexion had to be ≤1. Horses were excluded if they received any anti-inflammatory or analgesic drugs in the 2 weeks prior to the study. Physical and orthopedic examinations were repeated before each experimental session to ensure that no changes had occurred between appointments. If lameness or other symptoms appeared, horses were excluded from further testing, and the noticed clinical issue was recorded. Skinfold thickness was measured with a caliper (Universal Vernier Caliper, Tesa, Switzerland) over the scapula and cranial to it at the neck basis, anticipating that this factor might influence potential breed differences in PPT. Time from the last shoeing was recorded; no experiment was performed during the first week following shoeing. All horses were tested in the afternoon, in their own stall, manually held by the halter and lead rope by an assistant not performing the measurements. At least 1 h had to elapse between feeding or daily training exercise and testing.

2.2 Study design

Three consecutive study phases were designed to reach the set goals.

2.2.1 Phase 1

This phase aimed at assessing feasibility, site sensitivity and left-right differences of distal limb joints PPT mapping.

Horses were acclimated with the stimulation method with an initial short training period just preceding the beginning of the experiment. During this period, the algometer was applied to at least three undefined sites distal to the metacarpophalangeal joint, not corresponding to the test sites, until the horse showed a response. Thereafter, the actual experiment began.

The same observer (JG) performed all the PPT measurements in this phase. All 40 horses were tested bilaterally at six sites, two per joints (Table 1 for anatomical details). The sites were the L-MCP and D-MCP, on the latero-proximal and dorsal aspect of the metacarpophalangeal joint, the D-PIP and P-PIP, on the dorsal and palmar aspect of the proximal interphalangeal joint, and the D-DIP and L-DIP, on the dorsal and lateral aspect of the distal interphalangeal joint (Figure 1). These sites correspond to those described to perform arthrocentesis in the same joints (23).

Table 1
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Table 1. Periarticular stimulation sites.

Figure 1
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Figure 1. The 6 periarticular sites tested with algometry. (A) Dorso-lateral view of the distal thoracic limb, L-MCP and D-MCP on the latero-proximal-palmar and dorsal aspect of the metacarpophalangeal joint, respectively, D-PIP on the dorsal aspect of the proximal interphalangeal joint, D-DIP and L-DIP on the dorsal and lateral aspect of the distal interphalangeal joint, respectively. (B) Palmar view of the distal thoracic limb, P-PIP, on the palmar aspect of the proximal interphalangeal joint. Original drawings inspired by images available in reference (23).

2.2.2 Phase 2

This phase aimed to assess intra-rater reliability for a single observer (JG). Twenty horses randomly selected from the initial cohort were tested at least 2 weeks after Phase 1. Horses who recorded a feasibility score >2, were removed from the pool before randomization. The two sites on the metacarpophalangeal joint, L-MCP and D-MCP, were evaluated on the left and right thoracic limb. Data collected during Phase 2 were then compared to those collected in Phase 3 by the same observer.

2.2.3 Phase 3

This last phase aimed to assess intra-rater reliability and generate the data set to evaluate inter-rater reliability. Two observers (JG and SB) performed PPT testing during this session.

The same horses included in Phase 2 were included in Phase 3. At least 2 weeks elapsed between Phases 2 and 3. Both observers evaluated the horses once; they tested the two metacarpophalangeal joint sites (L-MCP and D-MCP) on both thoracic limbs in the same order, the first observer being randomized for each horse with the flip of a coin. At least 60 min elapsed between observers.

2.3 Pressure pain threshold determination

For PPT determination, a hand-held digital algometer, equipped with a flat 2 mm diameter tip (ProdPro, Top Cat Metrology Ltd, UK), was applied perpendicular to the skin at predefined periarticular sites (Table 1 for anatomical details) until a behavioral reaction was elicited. A constant force rate increase of 2 N/s was kept with the guidance of warning LED lights on the instrument. During stimulation, the operator was not aware of the applied force. Stimulation was stopped when a weight shifting to the contralateral limb, a voluntary limb lifting and/or stamping occurred, or when the cut-off force of 25 N was reached. At this point, the operator withdrew the probe, and the peak force (N) displayed on the device was recorded as the threshold.

The limb (left or right) and the order of sites to be tested were randomized for each horse with the flip of a coin and a random number generator (https://www.matheretter.de/rechner/zufallsgenerator), respectively. Each site was tested three times and the two closest values were averaged for further analysis. The same order of site testing was kept for each repetition during a session. Minimal inter-stimulation interval was 20 s, with 60 s between tests on the same site. If the horse moved or the algometer jerked or slipped, the measurement was repeated.

During the whole stimulation session, particular care was dedicated to ensuring a quiet environment and keeping the general behavior of the horse under strict observation. If the horse appeared distracted from noises or other external conditions during threshold assessment, the stimulation was interrupted and repeated once the horse returned to a calm, concentrated attitude.

Complete physical and orthopedic examinations were repeated 1 day and 1 week after each experimental session for safety monitoring. Furthermore, tested joints and periarticular skin areas were regularly inspected for the presence of abnormal sensitivity to touch, temperature, swelling, lesions, or any other abnormality that could be noticed.

2.4 Feasibility assessment

At the end of each session, each horse was assigned a feasibility score that described the ease with which data could be collected (Table 2), adapting a scoring system previously described for dogs (24). Feasibility was scored on a scale ranging from 0 to 5, where scores ≤2 represented “easy data collection” and those >2 “difficult data collection”. Horses scoring >2 were excluded from subsequent testing to avoid unnecessary discomfort.

Table 2
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Table 2. Feasibility scores for evaluation or the ease with which pressure pain thresholds data were collected.

2.5 Sample size

Sample size was calculated using a web-based tool based on previously described methods (25, 26). Assuming an ICC ρ = 0.6, with an expected width of the 95% confidence interval (CI) of 0.4, two PPT values per subject and a drop-out rate of 10%, 13 horses were considered necessary to assess reliability. As for reliability testing a group of 20 subjects was suggested to be a clinically representative sample (27), the number of horses included in the present study was increased to 20 per breed in Phase 1 and to 20 in total in Phases 2 and 3.

2.6 Statistical analysis

Data elaboration and analysis were performed with Stata/BE 17.0 for Mac (StataCorp LLC, College Station, TX) and SigmaPlot 14 (Systat Software, Palo Alto, CA). Descriptive statistics was used for demographic data. Continuous data were checked for normality of distribution using the Shapiro-Wilk normality test and graphically with histogram and the normal quantile plot function in Stata. Since the normality assumption was not met, data were reported as median [interquartile range (IQR)]. Categorical data were presented as proportions or percentages. The Mann-Whitney Rank Sum test was used to compare skinfold thickness between breeds.

In order to consider PPT mapping suitable for clinical use, the horse needed to score ≤2 in the feasibility score. A one-sample proportion z-test was used to compare the observed proportion of the sample to the 70% cutoff proposed in clinical feasibility studies in other species (24).

In Phase 1, to check the effect of breed, testing site and side on PPT, a mixed effect linear model was used, with the horse as the random effect, breeds, the six sites tested and left and right sides as fixed effects. Due to a lack of normality distribution, PPT was transformed using the Box-Cox transformation prior to analysis. For Phases 2 and 3, the intra- and inter-class correlation coefficients (ICC) were calculated, and the 95% CI was assessed to identify the precision of the estimate. The ICC values were classified as follows: <0.20 indicated poor agreement; 0.21–0.40 fair agreement; 0.41–0.60 moderate agreement; 0.61–0.80 good agreement and >0.80 excellent agreement (28). Systematic error between sessions and between raters was estimated using the Wilcoxon signed-rank test. P-values ≤0.05 were considered statistically significant. Bland-Altman plots were performed to graphically represent differences between two consecutive PPT measurements and between the two raters.

3 Results

A total of 40 healthy horses were included in the study: 20 Warmblood and 20 Freiberger. The median (IQR) age of horses was 4 (3, 7) year-old and they weighed 540 (495, 570) kg. The sample included 14 (35%) mares and 26 (65%) geldings. There were 5 (25%) mares and 15 (75%) geldings in the Warmblood group, and 9 (45%) mares and 11 (55%) geldings in the Freiberger group (p = 0.19). Skinfold thickness was significantly different between breeds at both tested sites, being 4.5 (4.0–4.8) mm in the Warmblood group and 5 (4.5–5.5) mm in the Freiberger group at the scapula (p = 0.023), and 4 (4–4.5) mm in the Warmblood group and 4.8 (4–5) mm in the Freiberger group at the neck basis (p = 0.004).

3.1 Feasibility and site specificity

In Phase 1, only two horses received a feasibility score >2, because they were moving too much their thoracic limbs and were then excluded from Phases 2 and 3. Consequentially, the procedure was then deemed “feasible” in 95% of the animals (38 out of 40 horses), which was statistically significantly superior to the hypothesized 70% (95% CI 88%–100%, p < 0.001).

A total of 480 PPT observations were collected in Phase 1, ranging between 1.5 and 25 N [the median (IQR) PPT obtained was 9.4 (7.5, 11.3) N] (Table 3). The final multivariable regression model was significant and predicted the data well (Wald chi2 = 67.28, p < 0.001). When accounting for breed differences and for the side (left or right), P-PIP (p < 0.001) and D-DIP (p = 0.002) recorded a significantly lower mechanical threshold compared to L-MCP. Regardless of the side, the median (IQR) mechanical threshold was 8.4 (6.1, 10.5) N for P-PIP and 9.0 (7.4, 10.6) N for D-DIP compared to 9.9 (7.3, 12.4) N for L-MCP. There was no difference in mechanical thresholds between breeds (p = 0.14) or sides (p = 0.33). Given the lack of statistically significant difference of PPT obtained from the left and right sides at each site, the PPT values of the left and right sides were averaged for further analysis.

Table 3
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Table 3. Median (IQR) pressure pain thresholds in 40 healthy horses.

3.2 Intra-rater reliability

For L-MCP, the median (IQR) PPT obtained by the first observer (JG) in the first measurement was 10.4 (9.4, 11.8) N and in the second one, 2 weeks later, 9.8 (8.8, 12.9) N. For D-MCP, the median (IQR) PPT obtained was 10.1 (8.8, 12.6) N in the first measurement and 11.1 (9.2, 12.8) N in the second one. The intra-rater agreement was 0.68 (95% CI 0.35–0.86) for L-MCP, and 0.50 (95% CI 0.079–0.76) for D-MCP, indicating moderate-to-good and poor-to-good repeatability, respectively (Table 4). The median difference between the first and second measurements was 0.55 N (95% CI −0.98, 1. 85; p = 0.62) for L-MCP and −0.35 N (95% CI −1.97, 1.30; p = 0.34) for D-MCP, indicating lack of systematic error in measurements.

Table 4
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Table 4. Intra-rater agreement (ICC) and 95% confidence interval of pressure pain thresholds measurements made 2 weeks apart on 20 horses by one rater.

3.3 Inter-rater reliability

For L-MCP, the median (IQR) PPT recorded by rater 1 (JG) and 2 (SB) were 9.8 (8.8, 12.9) N and 11.2 (9.0, 13.0) N, respectively. For D-MCP, the median (IQR) PPT recorded by rater 1 and 2 were 11.1 (9.2, 12.8) N and 11.3 (9.6, 11.7) N, respectively. The agreement was good-to-excellent between raters for both sites, being 0.8 (0.7–0.9) for L-MCP and 0.8 (0.6–0.9) for D-MCP (Table 5). Median difference between raters was −0.61 N (95% CI −2.52, 1.42; p = 0.59) for L-MCP and 0.14 (95% CI −1.40, 1.45, p = 0.83) for D-MCP, indicating lack of systematic error in measurements.

Table 5
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Table 5. Inter-rater agreement (ICC) and 95% confidence interval of pressure pain thresholds measurements made on 20 horses by two raters, on the same day at 1 h interval.

The Bland-Altman plots for all the evaluations are included in Figure 2 illustrating the distribution of the PPT values difference when plotted against the mean and estimate an agreement interval within which 95% of the differences lied.

Figure 2
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Figure 2. Bland-Altman plots shows distribution of PPT for each site and rater: (A, B) PPT recorded between two sessions from rater 1 at L-MCP and D-MCP, respectively. (C, D) PPT recorded between raters at L-MCP and D-MCP, respectively.

No adverse events possibly related to the testing procedures were observed throughout the study.

4 Discussion

The main finding of this study was that periarticular PPT showed excellent feasibility when 6 periarticular sites were tested bilaterally on the distal thoracic limbs of clinically healthy horses. Tested side and breed did not affect thresholds. Reliability, evaluated on a single joint, was quite variable, being better when 2 different raters performed the tests on the same day than when the same sites were tested by the same observer 2 weeks apart. The overarching aim was to verify whether this quantitative sensory testing method, already used in humans and dogs affected by chronic joint pain (10, 14, 16), could be proposed to assess periarticular sensitivity in horses affected by OA. Indeed, the crucial role of peripheral sensitization and thus enhanced local sensitivity to the overall pain experience in OA has often been highlighted (1, 2, 13). A tool to quantify its extent could contribute to characterizing the individual pain phenotype, establishing an appropriate therapy, and following up on the disease's progress over time.

In the present study, we evaluated the feasibility of pressure pain testing in horses not exposed to this method before. Feasibility was assessed using a scoring system previously described for dogs (24) and adapted for the current experimental setup in horses. To maximize tolerability, horses were tested in their home stall under standard conditions. In 95% of subjects, it was easy to perform pressure testing and good to excellent cooperation was observed. This finding suggests better tolerability than initially expected. Indeed, we assumed that if 70% of the horses had tolerated the testing well, the method could have been considered clinically feasible. While this is an encouraging result, it might at least partially be linked to the particular population of horses included, as they had all been selected for military duties at the age of 3 years. These animals must be willing to work, agreeable and cooperative; therefore, they might not truly reflect the characteristics of a mixed population of sport and leisure horses commonly encountered in veterinary practice. For comparison, mechanical nociceptive testing using pressure algometry was feasible in 83% of dogs in the previously mentioned study (24) and in 83% of horses undergoing repeated testing over a period of 10 weeks (17).

In the present study, PPT was site-specific. In particular, P-PIP and D-DIP, on the proximal and distal interphalangeal joints, respectively, had lower thresholds than L-MCP, situated on the proximo-lateral aspect of the metacarpophalangeal joint. These results confirm previous observations, as different sensitivity to nociceptive mechanical stimulation for different anatomical areas has been previously reported in humans and horses. In humans, pressure sensitivity maps indicating distinctive sensitivity areas have been drawn for several body regions, such as the knee and the shoulder (14). In horses, higher thresholds were found in distal compared to proximal regions of the thoracic limb (17), in lumbar vs. thoracic back areas (19) and in specific sites of the face (29). As highlighted in previous literature, a direct comparison of PPT values among species and studies is only meaningful if the same instrument tip size, configuration and force application rate are applied (22, 30). Our thresholds are grossly comparable to those previously reported for distal equine thoracic limbs (average 5.2 N) (31) and donkeys (6.2 ± 2.1 N) (32), when, as in the present study, an algometer with a 2 mm diameter tip was applied. On the other side, they are largely different from those reported using a flat rubber tip of 1 cm2 (200 ± 40 N) (20). These differences highlight the importance of carefully considering technical details when comparing studies and results. Thus, for future clinical applications, in the absence of specific reference values for a specific equipment, stimulating tip and force rate increase, it seems reasonable to directly compare only threshold values found at the same joint and location bilaterally, rather than multiple sites on the same limb.

Our results concerning side differences confirm those of previous studies in equines indicating that no significant differences are present between PPTs measured on the left and right limbs for a given site (17, 20). This is an important finding, as consistent side differences in affected joints can be interpreted as possibly disease-related in clinical settings. In OA, both enhanced and decreased peripheral sensitization has been reported in other species, depending on the disease stage and age (1316, 33). In humans, lower thresholds are typically reported for the affected joints compared to healthy controls (11) and similar results have been reported for horses undergoing experimentally induced carpal osteoarthritis (17).

As no significant differences were detected between sides, left and right threshold values for specific sites were averaged for further analysis. This approach has often been applied when establishing reference values for quantitative sensory testing methods in healthy subjects (17, 24). Similarly, it is common to perform multiple testing at specific sites and exclude extreme values from the averaging (16). As these tests are based on well-defined, objectively measurable inputs (i.e., the applied pressure) but on a merely behavioral output (i.e., the limb lifting or weight shifting), it is quite common to get outliers, as responses are unspecific. Keeping the two closest measured values and excluding one or two extremes enhance the probability of correctly defining thresholds (16). Thus, we followed this approach in the current study and recommend doing the same while applying the method in the clinical context.

In the current study, Freiberger horses, a traditional cold-type Swiss breed, and warmblood horses were enrolled. Anticipating that skin thickness differences might account for differences in thresholds, skinfolds at the scapula and neck basis were measured with a caliper. While no significant differences in pressure thresholds were found between breeds, thicker skin was found for Freiberger horses compared to warmblood. We assessed skinfold thickness using a caliper as commonly done in nutritional studies in humans. As the skin thickness was evaluated at proximal sites, it might reflect the presence of higher amount of subcutaneous fat in these body regions and thus not be adequate to estimate skin thickness at distal sites. For this purpose, ultrasound imaging at the site of interest would have been more adequate. To the best of our knowledge, this is the first study specifically assessing breed differences in pain sensitivity in horses. Future studies could investigate other modalities, such as thermal and tactile thresholds and other breeds, to substantiate this preliminary finding.

If a certain method is intended for use in clinical practice, it has to provide comparable results over time when applied to healthy individuals and when different observers perform the testing. Nevertheless, due to the semiquantitative nature of PPT, a perfect agreement between sessions and raters cannot be expected. To provide some examples from other species, when test-retest repeatability was evaluated, ICC ranging from 0.6 to 0.9 were reported in humans (11) and from 0.46 to 0.78 in horses, when the axial skeleton was evaluated with algometry, depending on the examiner (22, 34). Such ICC values were interpreted as showing adequate agreement in those studies. As it has been pointed out, several factors can influence repeatability, such as the body region to be tested, the experience of the examiner and the duration between sessions (22). In the present study, intra-rater reliability was evaluated by comparing thresholds obtained by a single observer in two testing sessions 2 weeks apart, measured at two sites on the same joint bilaterally. This testing paradigm was established to mimic a clinical situation in which a target joint would be tested on both limbs for internal comparison and retested at intermediate time intervals to verify the effect of treatment or disease progression. When averaged values per site were compared between sessions for the same observer, an agreement ranging from poor to good was found. For L-MCP, on the lateral aspect of the metacarpophalangeal joint, reliability was higher than for D-MCP, reflecting location-specific ease of testing in a repeatable way. This site-specificity is interesting to notice, as it might also be true for other joints. Sites located on the dorsal aspect of the limb might tend to hinder withdrawal more than lateral or palmar/plantar sites and thus originate higher variability in the results. This has been previously pointed out by Haussler in his review on algometry in horses (22), but further data would be necessary to confirm that a dorsal approach should rather be avoided when testing periarticular sensitivity. Furthermore, looking at threshold differences between sessions in the Bland-Altman plots it is evident that some individuals, mostly those having higher thresholds, were showing larger differences, reflected by the large range found for the 95% confidence interval of the intraclass correlation coefficient. Thus, horses having high initial thresholds might not be adequate candidate for a follow-up with algometry. Additionally, interesting to notice, is the absence of a clear direction of change over time, as some horses showed higher and other lower thresholds at the second appointment. In contrast, a previous study in horses found higher thresholds at the second appointment, with the extent of increase depending on the interval between sessions. A short interval of 1–3 days led to higher changes than 5–7 days (17). In dogs, opposite results were found, with mechanical thresholds decreasing at the second testing session (16, 35). This was interpreted as potential result of stress-induced analgesia at the first occasion (16, 35, 36), but it could also be explained by a learning process. Indeed, animals can learn that if they react earlier (i.e., at lower pressure), they might interrupt stimulation and thus avoid unpleasant feelings. In the author's experience, there are rather clear differences in the “true” evoked reactions and the learned early avoidance behavior, and this is at least partially reflected in the feasibility of testing. Animals that learn to react at minimal contact and do not “concentrate” on the testing should be excluded from this diagnostic modality. Thus, the number of repetitions, tested sites and the testing frequency might affect the results of mechanical nociceptive testing in animals. In Phases 2 and 3, we tested only two sites per limb, and the testing interval was 2 weeks. Shorter intervals and multiple sites or repetitions within a session have been shown to reduce tolerability (36).

When two raters performed the measurements, the agreement was good to excellent for both sites when tested on the same day at 1-h interval. This finding suggests that comparing pressure thresholds collected by different practitioners from the same horse over time would be acceptable.

Several devices have been described in the literature to measure mechanical nociceptive thresholds in horses. Most commonly, simple and cheap hand-held algometers with a 1 cm2 stimulating tip are used (22). The major drawback with these instruments is that the force or pressure application rate is not monitored, making repeatability inherently tricky. Indeed, in nociceptive testing, the force application rate strongly modulates the outcome. In the present study, a Prod Plus was used. This instrument, already described in other equine studies (21), was purposely developed for veterinary testing. It allows monitoring the force application rate through a practical LED light system and exchanging stimulating tips based on the species and site to be tested. As unpleasant pressure is finally responsible for evoking nocifensive responses, it is fundamental to apply force at a constant rate in a reliable way. The examiner manually exerts increasing force through the instrument, the applied pressure depending on the stimulating surface as clearly demonstrated for threshold determination in horses (30). Hence, the possibility of exchanging tips strongly increases testing reliability as the force necessary to evoke a response should remain acceptable for the operator. The cut-off force of 25 N suggested for this instrument guarantees the feasibility of testing for most operators and, on the other hand safety for the animals, as the risk of physical damage is minimized. Thus, the overall acceptable intra-rater and inter-rater reliability found in the present study is mainly linked to the adequacy of the instrument selected and to the stimulation protocol adopted.

We tested periarticular algometry in healthy horses to verify whether this method could become a complementary diagnostic tool for horses affected by OA. Importantly, great care should always be taken to avoid damage to the delicate anatomical structures that could arise from improper use of the testing instrument, including too fast force application rate, oblique positioning of the stimulating tip, or not respecting the recommended safety cut-off values. This careful approach should also and in particular apply whenever new bone formation and osteophytes are present or suspected, potentially modifying underlying anatomical structures and landmarks.

4.1 Limitations

The horses included in the present study were considered clinically healthy and free of lameness based on a thorough clinical examination, but not including imaging or laboratory testing. Only warmblood and Freiberger horses were included, thus the data presented here can only be considered representative for these two breeds. Evaluation of feasibility was performed merely for distal thoracic limb joints; no inferences can be made for pelvic limbs or proximal joints. Intra- and inter-rater reliability assessments were performed exclusively on data collected from two sites overlying the MCP joint and results might be different for other joints and sites.

5 Conclusion

Pressure pain mapping of distal thoracic limb joints was feasible in horses using the approach and equipment applied in the current study. Local sensitivity was site-specific and no side or breed differences were noticed. Data collected from the MCP joint suggest highly variable subject-dependent intra-rater reliability, ranging from poor to good, and good to excellent inter-rater reliability. Studies evaluating pathologic vs. healthy joints are needed before recommendations can be made about clinical usability and diagnostic validity.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The animal study was approved by Committee for Animal Experimentation of the Canton of Bern, Switzerland (license number BE81/2022). The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

JG: Writing – original draft, Writing – review & editing, Investigation, Methodology, Data curation. LC: Writing – original draft, Writing – review & editing, Data curation, Formal Analysis, Methodology. SB: Writing – review & editing, Investigation, Methodology. SM: Recourses, Writing – review & editing, Conceptualization, Methodology. CS: Writing – original draft, Writing – review & editing, Conceptualization, Investigation, Methodology, Supervision, Data curation, Project administration, Resources.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

We thank Manuela Hofer from the NPZ for her support during the experimental sessions and Ekaterina Gamez Maidanskaia for the anatomical illustration of the stimulation sites.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpain.2024.1342954/full#supplementary-material

References

1. Dieppe PA. Relationship between symptoms and structural change in osteoarthritis: what are the important targets for therapy? J Rheumatol. (2005) 32(6):1147–9. doi: 10.1016/S0140-6736(05)71086-2

PubMed Abstract | Crossref Full Text | Google Scholar

2. Arendt-Nielsen L, Skou ST, Nielsen TA, Petersen KK. Altered central sensitization and pain modulation in the CNS in chronic joint pain. Curr Osteoporos Rep. (2015) 13(4):225–34. doi: 10.1007/s11914-015-0276-x

PubMed Abstract | Crossref Full Text | Google Scholar

3. Espinosa-Mur P, Phillips KL, Galuppo LD, DeRouen A, Benoit P, Anderson E, et al. Radiological prevalence of osteoarthritis of the cervical region in 104 performing warmblood jumpers. Equine Vet J. (2021) 53(5):972–8. doi: 10.1111/evj.13383

PubMed Abstract | Crossref Full Text | Google Scholar

4. Arendt-Nielsen L. Joint pain: more to it than just structural damage? Pain. (2017) 158(Suppl 1):S66–73. doi: 10.1097/j.pain.0000000000000812

PubMed Abstract | Crossref Full Text | Google Scholar

5. Hannan MT, Felson DT, Pincus T. Analysis of the discordance between radiographic changes and knee pain in osteoarthritis of the knee. J Rheumatol. (2000) 27(6):1513–7. PMID: 10852280.10852280

PubMed Abstract | Google Scholar

6. Read SJ, Dray A. Osteoarthritic pain: a review of current, theoretical and emerging therapeutics. Expert Opin Investig Drugs. (2008) 17(5):619–40. doi: 10.1517/13543784.17.5.619

PubMed Abstract | Crossref Full Text | Google Scholar

7. Keegan KG, MacAllister CG, Wilson DA, Gedon CA, Kramer J, Yonezawa Y, et al. Comparison of an inertial sensor system with a stationary force plate for evaluation of horses with bilateral forelimb lameness. Am J Vet Res. (2012) 73(3):368–74. doi: 10.2460/ajvr.73.3.368

PubMed Abstract | Crossref Full Text | Google Scholar

8. McCracken MJ, Kramer J, Keegan KG, Lopes M, Wilson DA, Reed SK, et al. Comparison of an inertial sensor system of lameness quantification with subjective lameness evaluation. Equine Vet J. (2012) 44(6):652–6. doi: 10.1111/j.2042-3306.2012.00571.x

PubMed Abstract | Crossref Full Text | Google Scholar

9. Al Naem M, Litzke LF, Failing K, Burk J, Rocken M. Hoof kinetic patterns differ between sound and laminitic horses. Equine Vet J. (2021) 53(3):503–9. doi: 10.1111/evj.13311

PubMed Abstract | Crossref Full Text | Google Scholar

10. Arendt-Nielsen L, Egsgaard LL, Petersen KK, Eskehave TN, Graven-Nielsen T, Hoeck HC, et al. A mechanism-based pain sensitivity index to characterize knee osteoarthritis patients with different disease stages and pain levels. Eur J Pain. (2015) 19(10):1406–17. doi: 10.1002/ejp.651

PubMed Abstract | Crossref Full Text | Google Scholar

11. Suokas AK, Walsh DA, McWilliams DF, Condon L, Moreton B, Wylde V, et al. Quantitative sensory testing in painful osteoarthritis: a systematic review and meta-analysis. Osteoarthritis Cartilage. (2012) 20(10):1075–85. doi: 10.1016/j.joca.2012.06.009

PubMed Abstract | Crossref Full Text | Google Scholar

12. Edwards RR, Dworkin RH, Turk DC, Angst MS, Dionne R, Freeman R, et al. Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations. Pain. (2016) 157(9):1851–71. doi: 10.1097/j.pain.0000000000000602

PubMed Abstract | Crossref Full Text | Google Scholar

13. Imamura M, Imamura ST, Kaziyama HH, Targino RA, Hsing WT, de Souza LP, et al. Impact of nervous system hyperalgesia on pain, disability, and quality of life in patients with knee osteoarthritis: a controlled analysis. Arthritis Rheum. (2008) 59(10):1424–31. doi: 10.1002/art.24120

PubMed Abstract | Crossref Full Text | Google Scholar

14. Arendt-Nielsen L, Nie H, Laursen MB, Laursen BS, Madeleine P, Simonsen OH, et al. Sensitization in patients with painful knee osteoarthritis. Pain. (2010) 149(3):573–81. doi: 10.1016/j.pain.2010.04.003

PubMed Abstract | Crossref Full Text | Google Scholar

15. Knazovicky D, Helgeson ES, Case B, Gruen ME, Maixner W, Lascelles BDX. Widespread somatosensory sensitivity in naturally occurring canine model of osteoarthritis. Pain. (2016) 157(6):1325–32. doi: 10.1097/j.pain.0000000000000521

PubMed Abstract | Crossref Full Text | Google Scholar

16. Knazovicky D, Helgeson ES, Case B, Thomson A, Gruen ME, Maixner W, et al. Replicate effects and test-retest reliability of quantitative sensory threshold testing in dogs with and without chronic pain. Vet Anaesth Analg. (2017) 44(3):615–24. doi: 10.1016/j.vaa.2016.08.008

PubMed Abstract | Crossref Full Text | Google Scholar

17. Haussler KK, Hill AE, Frisbie DD, McIlwraith CW. Determination and use of mechanical nociceptive thresholds of the thoracic limb to assess pain associated with induced osteoarthritis of the middle carpal joint in horses. Am J Vet Res. (2007) 68(11):1167–76. doi: 10.2460/ajvr.68.11.1167

PubMed Abstract | Crossref Full Text | Google Scholar

18. Varcoe-Cocks K, Sagar KN, Jeffcott LB, McGowan CM. Pressure algometry to quantify muscle pain in racehorses with suspected sacroiliac dysfunction. Equine Vet J. (2006) 38(6):558–62. doi: 10.2746/042516406X154804

PubMed Abstract | Crossref Full Text | Google Scholar

19. Pongratz U, Licka T. Algometry to measure pain threshold in the horse’s back—an in vivo and in vitro study. BMC Vet Res. (2017) 13(1):80. doi: 10.1186/s12917-017-1002-y

PubMed Abstract | Crossref Full Text | Google Scholar

20. Haussler KK, Behre TH, Hill AE. Mechanical nociceptive thresholds within the pastern region of Tennessee walking horses. Equine Vet J. (2008) 40(5):455–9. doi: 10.2746/042516408X278166

PubMed Abstract | Crossref Full Text | Google Scholar

21. Schambourg M, Taylor PM. Mechanical nociceptive thresholds in endurance horses. Vet Rec. (2020) 186(4):124. doi: 10.1136/vr.105499

PubMed Abstract | Crossref Full Text | Google Scholar

22. Haussler KK. Pressure algometry for the detection of mechanical nociceptive thresholds in horses. Animals (Basel). (2020) 10(12):1–22. doi: 10.3390/ani10122195

Crossref Full Text | Google Scholar

23. Moyer W, Schumacher J, Schumacher J. Part 1: Joint Injection. Equine Joint Injection and Regional Anesthesia. Chadds Ford, PA, USA: Academic Veterinary Solutions, LLC (2011).

Google Scholar

24. Briley JD, Williams MD, Freire M, Griffith EH, Lascelles BD. Feasibility and repeatability of cold and mechanical quantitative sensory testing in normal dogs. Vet J. (2014) 199(2):245–50. doi: 10.1016/j.tvjl.2013.10.025

PubMed Abstract | Crossref Full Text | Google Scholar

25. Giraudeau B, Mary JY. Planning a reproducibility study: how many subjects and how many replicates per subject for an expected width of the 95 per cent confidence interval of the intraclass correlation coefficient. Stat Med. (2001) 20(21):3205–14. doi: 10.1002/sim.935

PubMed Abstract | Crossref Full Text | Google Scholar

26. Bonett DG. Sample size requirements for estimating intraclass correlations with desired precision. Stat Med. (2002) 21(9):1331–5. doi: 10.1002/sim.1108

PubMed Abstract | Crossref Full Text | Google Scholar

27. Hobart JC, Cano SJ, Warner TT, Thompson AJ. What sample sizes for reliability and validity studies in neurology? J Neurol. (2012) 259(12):2681–94. doi: 10.1007/s00415-012-6570-y

PubMed Abstract | Crossref Full Text | Google Scholar

28. Ribeiro IL, Camargo PR, Alburquerque-Sendin F, Madeleine P, Fernandez-de-las-Penas C, Salvini TF. Topographical pressure pain sensitivity maps of the shoulder region in individuals with subacromial pain syndrome. Man Ther. (2016) 21:134–43. doi: 10.1016/j.math.2015.07.002

PubMed Abstract | Crossref Full Text | Google Scholar

29. Veres-Nyeki KO, Nyeki J, Bodo G, Spadavecchia C. Quantitative sensory testing of the equine face. Equine Vet J. (2021) 53(1):177–85. doi: 10.1111/evj.13270

PubMed Abstract | Crossref Full Text | Google Scholar

30. Taylor PM, Crosignani N, Lopes C, Rosa AC, Luna SP, Puoli Filho JN. Mechanical nociceptive thresholds using four probe configurations in horses. Vet Anaesth Analg. (2016) 43(1):99–108. doi: 10.1111/vaa.12274

PubMed Abstract | Crossref Full Text | Google Scholar

31. Chambers JP, Waterman AE, Livingston A. Further development of equipment to measure nociceptive thresholds in large animals. Vet Anaesth Analg. (1994) 21:66–72. doi: 10.1111/j.1467-2995.1994.tb00489.x

Crossref Full Text | Google Scholar

32. Lizarraga I, Janovyak E. Comparison of the mechanical hypoalgesic effects of five alpha2-adrenoceptor agonists in donkeys. Vet Rec. (2013) 173(12):294. doi: 10.1136/vr.101684

PubMed Abstract | Crossref Full Text | Google Scholar

33. Hunt JR, Goff M, Jenkins H, Harris J, Knowles TG, Lascelles BDX, et al. Electrophysiological characterisation of central sensitisation in canine spontaneous osteoarthritis. Pain. (2018) 159(11):2318–30. doi: 10.1097/j.pain.0000000000001336

PubMed Abstract | Crossref Full Text | Google Scholar

34. Menke ES, Blom G, van Loon JPAM, Back W. Pressure algometry in Icelandic horses: interexaminer and intraexaminer reliability. J Equine Vet Sci. (2016) 36:26–31. doi: 10.1016/j.jevs.2015.10.007

Crossref Full Text | Google Scholar

35. Freire M, Knazovicky D, Case B, Thomson A, Lascelles BD. Comparison of thermal and mechanical quantitative sensory testing in client-owned dogs with chronic naturally occurring pain and normal dogs. Vet J. (2016) 210:95–7. doi: 10.1016/j.tvjl.2016.01.005

PubMed Abstract | Crossref Full Text | Google Scholar

36. Adami C, Lardone E, Monticelli P. Inter-rater and inter-device reliability of mechanical thresholds measurement with the electronic von frey anaesthesiometer and the SMALGO in healthy cats. J Feline Med Surg. (2019) 21(10):979–84. doi: 10.1177/1098612X18813426

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: pain, equine, osteoarthritis, pressure algometry, complementary diagnostic

Citation: Gisler J, Chiavaccini L, Blum S, Montavon S and Spadavecchia C (2024) Pressure pain mapping of equine distal joints: feasibility and reliability. Front. Pain Res. 5:1342954. doi: 10.3389/fpain.2024.1342954

Received: 22 November 2023; Accepted: 10 April 2024;
Published: 25 April 2024.

Edited by:

Bamidele Victor Owoyele, University of Ilorin, Nigeria

Reviewed by:

Suzan Meijs, Aalborg University, Denmark
Jane Manfredi, Michigan State University, United States

© 2024 Gisler, Chiavaccini, Blum, Montavon and Spadavecchia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jana Gisler Z2lzbGVyLmphbmFAYmx1ZXdpbi5jaA== Claudia Spadavecchia Y2xhdWRpYS5zcGFkYXZlY2NoaWFAdW5pYmUuY2g=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.