Automated Pain Spots Recognition Algorithm Provided by a Web Service-Based Platform: Instrument Validation Study.

Background: Understanding the causes and mechanisms underlying musculoskeletal pain is crucial for developing effective treatments and improving patient outcomes. Self-report measures, such as the Pain Drawing Scale, involve individuals rating their level of pain on a scale. In this technique, individuals color the area where they experience pain, and the resulting picture is rated based on the depicted pain intensity. Analyzing pain drawings (PDs) typically involves measuring the size of the pain region. There are several studies focusing on assessing the clinical use of PDs, and now, with the introduction of digital PDs, the usability and reliability of these platforms need validation. Comparative studies between traditional and digital PDs have shown good agreement and reliability. The evolution of PD acquisition over the last 2 decades mirrors the commercialization of digital technologies. However, the pen-on-paper approach seems to be more accepted by patients, but there is currently no standardized method for scanning PDs. Objective: The objective of this study was to evaluate the accuracy of PD analysis performed by a web platform using various digital scanners. The primary goal was to demonstrate that simple and affordable mobile devices can be used to acquire PDs without losing important information. Methods: Two sets of PDs were generated: one with the addition of 216 colored circles and another composed of various red shapes distributed randomly on a frontal view body chart of an adult male. These drawings were then printed in color on A4 sheets, including QR codes at the corners in order to allow automatic alignment, and subsequently scanned using different devices and apps. The scanners used were flatbed scanners of different sizes and prices (professional, portable flatbed, and home printer or scanner), smartphones with varying price ranges, and 6 virtual scanner apps. The acquisitions were made under normal light conditions by the same operator. Results: High-saturation colors, such as red, cyan, magenta, and yellow, were accurately identified by all devices. The percentage error for small, medium, and large pain spots was consistently below 20% for all devices, with smaller values associated with larger areas. In addition, a significant negative correlation was observed between the percentage of error and spot size (R=-0.237; P=.04). The proposed platform proved to be robust and reliable for acquiring paper PDs via a wide range of scanning devices. Conclusions: This study demonstrates that a web platform can accurately analyze PDs acquired through various digital scanners. The findings support the use of simple and cost-effective mobile devices for PD acquisition without compromising the quality of data. Standardizing the scanning process using the proposed platform can contribute to more efficient and consistent PD analysis in clinical and research settings.

Reporting the Location and Extent of Pain in Adolescents: A Test-Retest Reliability Study.

BACKGROUND: A pain drawing is a self-administered assessment that requires the patient to shade in on a body chart the areas in which he or she experiences pain, regardless of the intensity. Pain drawings have already been validated in several adult populations. OBJECTIVES: The aim of this study is to establish adolescents' test-retest reliability in reporting the extent and location of their pain using a paper-based pain drawing. STUDY DESIGN: A one-day test-retest reliability study was set up. SETTING: The study took place in 2 separate locations-a pediatric hospital and a private physiotherapy practice in Ticino, in the southern part of Switzerland. This reliability study was approved by the local ethics committee of Ticino (2021-00492 CE 3832). METHODS: Adolescents with musculoskeletal pain (aged 11-16 years) were included. All participants were asked to shade the areas in which they experienced pain over the previous week. After the administration of a questionnaire and the acquisition of further personal data, the pain drawing was administered again. The pain drawings were then scanned and analyzed using a digital platform, which allowed the extraction of pain extent and location values. The test-retest reliability was evaluated on these data. The intraclass correlation coefficient and Bland-Altman analysis were used to assess the reliability of the reporting of the pain extent, whereas the Jaccard similarity coefficient was used to calculate the reliability of the reporting of the pain location. RESULTS: The reporting of the pain extent was observed to have excellent test-retest reliability: ICC2,1: 0.959 (95% CI: 0.925-0.978). The Bland-Altman analysis showed a mean difference close to 0: -0.010% (limits of agreements -0.962 to 0.942). The reliability of the reporting of pain location was also supported by the Jaccard index mean score of 0.82 (± 0.19). LIMITATIONS: Reliability of reporting may vary depending on the nature of the pain, its duration, or the type of disorder and body areas involved. CONCLUSIONS: Adolescents complaining musculoskeletal pain showed reliability in reporting pain extent and location using pain drawings.

Reliability of the Pen-on-Paper Pain Drawing Analysis Using Different Scanning Procedures.

INTRODUCTION: Pen-on-paper pain drawing are an easily administered self-reported measure that enables patients to report the spatial distribution of their pain. The digitalization of pain drawings has facilitated the extraction of quantitative metrics, such as pain extent and location. This study aimed to assess the reliability of pen-on-paper pain drawing analysis conducted by an automated pain-spot recognition algorithm using various scanning procedures. METHODS: One hundred pain drawings, completed by patients experiencing somatic pain, were repeatedly scanned using diverse technologies and devices. Seven datasets were created, enabling reliability assessments including inter-device, inter-scanner, inter-mobile, inter-software, intra- and inter-operator. Subsequently, the automated pain-spot recognition algorithm estimated pain extent and location values for each digitized pain drawing. The relative reliability of pain extent analysis was determined using the intraclass correlation coefficient, while absolute reliability was evaluated through the standard error of measurement and minimum detectable change. The reliability of pain location analysis was computed using the Jaccard similarity index. RESULTS: The reliability analysis of pain extent consistently yielded intraclass correlation coefficient values above 0.90 for all scanning procedures, with standard error of measurement ranging from 0.03% to 0.13% and minimum detectable change from 0.08% to 0.38%. The mean Jaccard index scores across all dataset comparisons exceeded 0.90. CONCLUSIONS: The analysis of pen-on-paper pain drawings demonstrated excellent reliability, suggesting that the automated pain-spot recognition algorithm is unaffected by scanning procedures. These findings support the algorithm's applicability in both research and clinical practice.

Alexithymia and depression may predict treatment failure in patients undergoing Gamma Knife radiosurgery for trigeminal neuralgia: the potential contribution of colored pain drawings.

OBJECTIVE: Gamma Knife radiosurgery (GKRS) effectively achieves high rates of pain control in trigeminal neuralgia (TN); however, psychological factors can also impact how individuals perceive pain and respond to treatment. The authors aimed to measure the effects of alexithymia and depression on GKRS outcomes, as well as the potential role of colored pain drawings (CPDs) in identifying patients who require additional psychological support. METHODS: Seventy-three medically intractable, typical patients with TN were included. Participants completed a visual analog scale (VAS), the Toronto Alexithymia Scale (TAS-20), and the Turkish version of the Beck Depression Inventory-II (BDI-II). Participants used colored pens to draw their pain patterns on standardized face charts and CPDs were categorized as expected or unexpected. Based on the Barrow Neurological Institute pain scale, patients were categorized as responders or nonresponders. RESULTS: Most patients (63%) were female, and the median age was 60 (range 27-88) years. Of 73 patients, 56 (76.7%) were responders and 17 (23.3%) were nonresponders. Forty-nine patients (67.1%) had expected CPDs, whereas 24 (32.9%) had unexpected CPDs. Responder and nonresponder groups had similar ages, genders, education, comorbidities, and initial VAS scores. Both groups preferred the colors red and black to describe intense pain (79.2% vs 67.3%, p = 0.411). Significantly better pain relief was observed in patients with expected CPDs than in those with unexpected CPDs (87.8% vs 54.2%, p = 0.003). The unexpected CPD group had significantly more alexithymia (58.3% vs 32.7%, p = 0.045). The mean BDI-II score of the cohort was 26 (range 15-37) and was significantly higher in the unexpected group (28.3 vs 24.8, p = 0.028). Unexpected CPD (OR 12.540) and higher TAS-20 score (OR 3.22) increased treatment failure risk. CONCLUSIONS: The outcomes of TN treatment can be influenced by psychological factors, and patients with TN with higher total TAS-20 and BDI-II scores, along with unexpected CPDs, had an increased likelihood of treatment failure. CPDs can be accessed quickly and may allow the physician to screen out most patients with unfavorable psychometrics and proceed with the necessary treatment with appropriate psychological support.

Sex-specific differences in pain localization in female patients with endometriosis: A comparison of sexless and female human body outlines.

BACKGROUND: This study explores sex-specific differences in pain localization using pain drawings in female patients with endometriosis. Traditional human body outlines (HBOs) used for pain drawings are often viewed as male, making accurate pain assessment difficult. The study aims to compare pain localization and extent between patients presented with sexless and female HBOs. METHODS: A total of 49 female patients with endometriosis completed questionnaires and pain drawings (n = 24 and n = 26 with individually designed sexless and female HBOs, respectively). The Ruzika similarity index was used to investigate potential differences in pain drawings between sexless and female HBOs. Hypothesis testing was applied to compare the number of pixels marked in the pain extents and to investigate the suitability of the presented body outline. RESULTS: Sex of HBOs used in pain drawings had no effect on pain area, and no statistically significant differences were found in pain localization or area between female and sexless outlines. Most, but not all participants found the body outlines suitable. CONCLUSIONS: The findings suggest that differences in the resulting areas marked in the pain drawings were negligible and the preferences for sexless pain drawings were not significant, so that a sexless body outline for pain drawings could be a good choice, especially when a study does not focus on one specific sex.

Test-retest reliability of pain extent and pain location using a novel pain drawing analysis software application, on patients with shoulder pain.

OBJECTIVES: A method of pain assessment is the drawing of pain on a specially designed manikin where the patients color the area representing their pain distribution. In recent years, software applications have been developed for the purpose of digital pain drawing data acquisition and processing. Although such specific software applications have already been released, they have been built with obsolete programming tools. The purpose of the study was to investigate the test - retest reliability of a new pain drawing analysis software, in a sample of patients with shoulder pain. METHODS: Data collected from 31 subjects with shoulder pain. Participants were asked twice to color their pain distribution in the painting environment of a tablet software application called 'Pain Distribution.' RESULTS: The reliability of pain extent was found to be good (ICC = 0.80). The Jaccard index for the reliability of pain location was found to be moderate, equal to 42.02 ± 19.13%. CONCLUSION: The results demonstrated good reliability of pain extent and moderate reliability of pain location using the new pain distribution analysis application 'Pain Distribution.' This pain drawing software application could be a reliable, inexpensive, and clinically usable solution for assessing the distribution of pain in patients with shoulder pain.

Do metrics derived from self-reported and clinician-reported pain drawings agree for individuals with chronic low back pain?

BACKGROUND: Clinicians commonly use pain drawings to define the spatial extent and location of a person's pain, but limited research has investigated who should perform the drawing. OBJECTIVES: To establish the inter-rater reliability of pain extent and location derived from three sets of pain drawings for people with chronic low back pain: one self-reported and two clinician-reported. Additionally, convergent validity of pain extent was assessed using the same dataset. DESIGN: Repeated-measures cross-sectional study. METHOD: Fifteen patients with chronic low back pain and a pool of eight clinicians were involved to assess the reliability of pain extent and location extracted by self-report and clinician-reported pain drawings. Inter-rater reliability of pain extent was computed using intraclass correlation coefficients (ICC) and Bland Altman analysis. Convergent validity of pain extent was assessed using Spearman's rank correlation. Inter-rater reliability of pain location was assessed using the Jaccard similarity index. RESULTS: The inter-reliability analysis for pain extent, derived from self-reported and clinician-reported pain drawings, revealed ICC scores ranging from 0.39 to 0.51, all with wide confidence intervals. The mean Jaccard similarity indexes computed for pain location ranged from 0.60 to 0.65. Moderate to good correlation was found for pain extent derived by the sets of pain drawings. CONCLUSIONS: Inter-rater reliability of pain extent and pain location derived from self-reported and clinician-reported pain drawings is poor in patients with chronic low back pain. The lack of reliability is also confirmed when considering only clinician-reported PDs. The convergent validity analysis of pain extent revealed that the two pain drawing approaches measure a similar construct.

Head and Neck Pain Drawing Area Correlates With Higher Psychosocial Burden But Not With Joint Dysfunction in Temporomandibular Disorders: A Cross-Sectional Study.

Head and neck pain drawings have been introduced as part of the diagnostic gold standard for temporomandibular disorders (TMD). We aimed to quantify the spatial extent of pain in TMD patients and to analyze its association with further clinical findings. In a cross-sectional study, 90 patients (median age = 38 years; n women = 68) were diagnosed according to the DC/TMD. Intra-articular disorders were either confirmed or rejected by magnetic resonance imaging. The patients shaded all painful areas in a sketch of the left and right side of a face. A grid template was placed over the drawings and each region that contained markings was scored as painful. The correlation between the calculated area and the psychosocial variables (DC/TMD axis II) as well as the influence of pain lateralization were investigated using Spearman correlation, Mann-Whitney-U and chi-square tests. Pain affected all facial areas but concentrated on the regions of the temporomandibular joint and masseter origin. Thirty-nine percent reported purely unilateral pain, which was associated with structural TMJ findings in 77% of cases. Individuals with bilateral pain and those with greater spatial spread of pain had significantly higher scores on all axis II variables, except for functional limitation of the jaw. PERSPECTIVE: Head and neck pain drawings can contribute to a stratification of TMD patients. A greater extent of pain as well as pain bilateralization is associated with higher levels of emotional distress, pain chronicity and somatization, but not with functional impairment. Unilateral reporting of pain is associated with more intra-articular disorders.

Determining the level of cervical radiculopathy: Agreement between visual inspection of pain drawings and magnetic resonance imaging.

BACKGROUND AND AIMS: Pain drawings are commonly used in the clinical assessment of people with cervical radiculopathy. This study aimed to assess (1) the agreement of clinical interpretation of pain drawings and MRI findings in identifying the affected level of cervical radiculopathy, (2) the agreement of these predictions based on the pain drawing among four clinicians from two different professions (i.e., physiotherapy and surgery) and (3) the topographical pain distribution of people presenting with cervical radiculopathy (C4-C7). METHODS: Ninety-eight pain drawings were obtained from a baseline assessment of participants in a randomized clinical trial, in which single-level cervical radiculopathy was determined using MRI. Four experienced clinicians independently rated each pain drawing, attributing the pain distribution to a single nerve root (C4-C7). A post hoc analysis was performed to assess agreement. OUTCOME MEASURES: Percentage agreement and kappa values were used to assess the level of agreement. Topographic pain frequency maps were created for each cervical radiculopathy level as determined by MRI. RESULTS: The radiculopathy level determined from the pain drawings showed poor overall agreement with MRI (mean = 35.7%, K = -0.007 to 0.139). The inter-clinician agreement ranged from fair to moderate (K = 0.212-0.446). Topographic frequency maps revealed that pain distributions were widespread and overlapped markedly between patients presenting with different levels cervical radiculopathy. CONCLUSION: This study revealed a lack of agreement between the segmental level affected determined from the patient's pain drawing and the affected level as identified on MRI. The large overlap of pain and non-dermatomal distribution of pain reported by patients likely contributed to this result.

Visualizing and quantifying spatial and qualitative pain sensations.

Similar to the purpose of an infographic, visualizing spatial and qualitative sensations on a body chart is a fast and digestible method for communicating complex information and experiences. Further, digitizing these body charts into an interactive medium creates unprecedented opportunities for collecting extensive data. Moreover, applying simple rule-based algorithms or more advanced machine learning approaches to these charts catapults the quantification and spatiotemporal relations of pain and qualitative pain sensations into a new field ripe for pioneering discoveries.

Digital pain extent is associated with pain intensity but not with pain-related cognitions and disability in people with chronic musculoskeletal pain: a cross-sectional study.

BACKGROUND: To evaluate whether digital pain extent is associated with an array of psychological factors such as optimism, pessimism, expectations of recovery, pain acceptance, and pain self-efficacy beliefs as well as to analyse the association between digital pain extent and pain intensity and pain-related disability in people with chronic musculoskeletal pain. METHODS: A descriptive cross-sectional study conducted in a primary health care setting was carried out including 186 individuals with chronic musculoskeletal pain. Patient-reported outcomes were used to assess psychological factors, pain intensity, and pain-related disability. Digital pain extent was obtained from pain drawings shaded using a tablet and analysed using novel customized software. Multiple linear regression models were conducted to evaluate the association between digital pain extent and the aforementioned variables. RESULTS: Digital pain extent was statistically significantly associated with pain intensity. However, digital pain extent was not associated with any psychological measure nor with pain-related disability. DISCUSSION: The results did not support an association between digital pain extent and psychological measures.

Quantification of Digital Body Maps for Pain: Development and Application of an Algorithm for Generating Pain Frequency Maps.

BACKGROUND: Pain is an unpleasant sensation that signals potential or actual bodily injury. The locations of bodily pain can be communicated and recorded by freehand drawing on 2D or 3D (manikin) surface maps. Freehand pain drawings are often part of validated pain questionnaires (eg, the Brief Pain Inventory) and use 2D templates with undemarcated body outlines. The simultaneous analysis of drawings allows the generation of pain frequency maps that are clinically useful for identifying areas of common pain in a disease. The grid-based approach (dividing a template into cells) allows easy generation of pain frequency maps, but the grid's granularity influences data capture accuracy and end-user usability. The grid-free templates circumvent the problem related to grid creation and selection and provide an unbiased basis for drawings that most resemble paper drawings. However, the precise capture of drawn areas poses considerable challenges in producing pain frequency maps. While web-based applications and mobile-based apps for freehand digital drawings are widely available, tools for generating pain frequency maps from grid-free drawings are lacking. OBJECTIVE: We sought to provide an algorithm that can process any number of freehand drawings on any grid-free 2D body template to generate a pain frequency map. We envisage the use of the algorithm in clinical or research settings to facilitate fine-grain comparisons of human pain anatomy between disease diagnosis or disorders or as an outcome metric to guide monitoring or discovery of treatments. METHODS: We designed a web-based tool to capture freehand pain drawings using a grid-free 2D body template. Each drawing consisted of overlapping rectangles (Scalable Vector Graphics elements) created by scribbling in the same area of the body template. An algorithm was developed and implemented in Python to compute the overlap of rectangles and generate a pain frequency map. The utility of the algorithm was demonstrated on drawings obtained from 2 clinical data sets, one of which was a clinical drug trial (ISRCTN68734605). We also used simulated data sets of overlapping rectangles to evaluate the performance of the algorithm. RESULTS: The algorithm produced nonoverlapping rectangles representing unique locations on the body template. Each rectangle carries an overlap frequency that denotes the number of participants with pain at that location. When transformed into an HTML file, the output is feasibly rendered as a pain frequency map on web browsers. The layout (vertical-horizontal) of the output rectangles can be specified based on the dimensions of the body regions. The output can also be exported to a CSV file for further analysis. CONCLUSIONS: Although further validation in much larger clinical data sets is required, the algorithm in its current form allows for the generation of pain frequency maps from any number of freehand drawings on any 2D body template.

Clinical Experience of High Frequency and Low Frequency TENS in Treatment of Diabetic Neuropathic Pain in Russia.

BACKGROUND: Transcutaneous electrical nerve stimulation (TENS) is presently one of the main methods of treatment for neuropathic pain in type II diabetes mellitus. The discussion about which TENS frequency is more effective in the treatment of neuropathic pain has been ongoing for many years. Despite this, the response of different aspects of neuropathic pain to various TENS modalities has not been sufficiently studied. AIM: To analyze changes in characteristics of neuropathic pain depending on the frequency of TENS. MATERIALS AND METHODS: Seventy-five Russian diabetic patients with painful distal axonal neuropathy were enrolled in the study. Patients were assigned to three groups: in the HF TENS group, 25 patients received standard drug therapy (Alpha-lipoic acid, Pentoxifylline, Vitamin B12, Gabapentin) + high-frequency TENS (HF); in the LF TENS group, 25 patients received standard drug therapy (Alpha-lipoic acid, Pentoxifylline, Vitamin B12, Gabapentin) + low-frequency TENS (LF); in the control group, 25 patients underwent just standard drug therapy (Alpha-lipoic acid, Pentoxifylline, Vitamin B12, Gabapentin). Pain intensity was calculated before and after treatment with visual analogue scale (VAS), McGill pain questionnaire (MPQ), Douleur Neuropathique 4 Questions (DN4) and Pain Drawing. RESULTS: TENS increased the therapeutic effect of standard drug therapy, in the treatment of neuropathic pain, by 65.9% and prolonged its efficacy by 31% for up to 6 months after treatment. HF TENS had a more pronounced analgesic effect than LF TENS based on VAS (34.7%), sensory (57.6%) MPQ dimensions and DN4 (21%). Affective MPQ dimension with the use of LF TENS was lower than HF TENS by 34.7% immediately after treatment, by 47.3% after 2 months and by 34.8% after 6 months of the follow-up period. CONCLUSION: There are significant differences between HF and LF TENS based on pain assessment using various pain scales. This reflects the distinctive effects of different TENS modalities on different aspects of neuropathic pain.

Digital pain drawings are a useful and reliable tool for assessing patients with temporomandibular disorders.

BACKGROUND: Temporomandibular disorders (TMD) are characterised by complex symptomatology and their assessment can be enhanced using pain drawings (PD). OBJECTIVES: To evaluate the location and extent of pain in people TMD using digital PD, and to explore their association with clinical features. Reliability of pain extent and pain location using PD was also assessed. METHODS: Forty volunteers with TMD completed two consecutive digital PDs. Clinical features were captured from self-reported questionnaire. Additionally, secondary hyperalgesia was measured using the pressure pain threshold (PPT). The correlation between pain extent and clinical features was investigated using Spearman rank correlation coefficients. Reliability of pain extent was evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots. The Jaccard index was computed to assess the reliability of pain location. RESULTS: Analysis of the PDs indicated that people with TMD commonly experience pain in other body regions including the neck, the shoulder and the low back. Except for PPT and pain catastrophising, all other clinical features were significantly correlated with pain extent. The ICCs of pain extent for all body charts were very high (ICCs 95% CI from 0.73 to 0.96), and Bland-Altman plots showed mean biases close to zero with narrow limits of agreement. The reliability of pain location was also supported by Jaccard index mean scores above 0.68. CONCLUSIONS: People with TMD showed widespread pain, and pain extent was associated with pain intensity, neck and headache-related disability, depression, anxiety, hyperventilation and central sensitivity. The reliability of measuring pain extent and pain location was confirmed.

Pain Characteristics and Quality of Life in Older People at High Risk of Future Hospitalization.

This study deals with how pain characteristics in conjunction with other factors affect quality of life (QoL) in a vulnerable primary care population. We recruited vulnerable older people (75+, n = 825) living in south-eastern Sweden. A postal questionnaire included pain aspects, QoL (EQ-5D-3L, RAND-36 physical functioning, attitudes toward own aging, and life satisfaction), functional status, social networks, and basic demographic information. Pain extent and localization was obtained by digitalization of pain drawings reported on standard body charts. Most respondents were experiencing pain longer than 3 months (88.8%). Pain frequency varied mostly between occasionally (33.8%) and every day (34.8%). A minority reported high pain intensity (13.6%). The lower back and lower legs were the most frequently reported pain locations (>25%). Multiple linear regression model revealed three characteristics of pain (intensity, frequency, and extent) remained inversely associated with the EQ-5D-3L index score (R2 = 0.57). Individually, each of these pain characteristics showed a negative impact on the other three dimensions of QoL (R2 = 0.23-0.59). Different features of pain had impact on different dimensions of QoL in this aging population. A global pain assessment is useful to facilitate individual treatment and rehabilitation strategies in primary care.

Novel Software for Pain Drawing Analysis.

Introduction Pain drawings (PDs) are an important component of the assessment of a patient with pain. Although analog pain drawings (APDs), such as pen-on-paper drawings, have been extensively used in clinical assessment and clinical research, there is a lack of digital pain drawing (DPD) software that would be able to quantify and analyze the digital pain distribution obtained by the patients. The aim of this work is to describe a method that can quantify the extent and location of pain through novel custom-built software able to analyze data from the digital pain drawings obtained from the patients. Methods The application analysis and software specifications were based on the information gathered from the literature, and the programmers created the custom-built software according to the published needs of the pain scientific community. Results We developed a custom-built software named "Pain Distribution," which, among others, automatically calculates the number of the pixels the patient has chosen and therefore quantifies the pain extent, provides the frequency distribution from a group of images, and has the option to select the threshold over which the patient is considered with central sensitization (CS). Additionally, it delivers results and statistics for both every image and the frequency distribution, providing mean values, standard deviations, and CS indicators, as well as the ability to export them in *.txt file format for further analysis. Conclusion A novel Pain Distribution application was developed, freely available for use in any setting, clinical, research, or academic.

Test-Retest Reliability of Pain Measures in Institutionalized Older Adults: Number of Painful Body Sites, Pain Intensity, and Pain Extent.

OBJECTIVE: The reliability of pain assessment in frail and older adults has seldom been assessed. This study aims to assess the test-retest reliability of (1) the number of painful body sites, (2) pain intensity, and (3) pain extent in institutionalized older adults. METHODS: Seventy-four older adults who were institutionalized were assessed in 2 separate sessions, 2 days to 1 week apart, for pain intensity, number of painful body sites, and pain extent (in pixels) using a vertical pain numeric scale (0 to 10), a body chart divided into 50 body regions, and ImageJ, respectively. Intraclass correlation coefficients (ICCs), standard error of measurement (SEM), and minimal detectable differences (MDDs) were calculated. RESULTS: In session 1, the mean values (± standard deviation) were 5.54 ± 2.12 points for pain intensity, 4.47 ± 3.27 for number of painful body sites, and 2,726.00 ± 2,322.09 for pain extent. ICCs were 0.82 (95% confidence interval [CI] = 0.72 to 0.89) for pain intensity, 0.89 (95% CI = 0.83 to 0.93) for number of painful body sites, and 0.74 (95% CI = -0.07 to 0.91) for pain area. The MDDs were 2.46 for pain intensity, 3.14 for number of painful body sites, and 4,997.60 for pain extent. CONCLUSIONS: The vertical pain rating scale and the body chart seem reliable to assess pain intensity and number of pain sites, respectively. The wide CI for the ICC found for pain area and the high measurement error compromise its potential clinical relevance.

Clinical Significance and Diagnostic Value of Pain Extent Extracted from Pain Drawings: A Scoping Review.

The current scoping review aimed to map current literature investigating the relationship between pain extent extracted from pain drawings with clinical, psychological, and psycho-physiological patient-reported outcome measures in people with pain. Electronic databases were searched for cross-sectional cohort studies that collected pain drawings using digital technology or a pen-on-paper approach and assessed for correlations between pain extent and clinical, psychological or psycho-physical outcomes. Data were extracted by two different reviewers. The methodological quality of studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Mapping of the results included: 1, description of included studies; 2, summary of results; and 3, identification of gaps in the existing literature. Eleven cross-sectional cohort studies were included. The pain disorders considered were heterogeneous, ranging from musculoskeletal to neuropathic conditions, and from localized to generalized pain conditions. All studies included pain and/or pain-related disability as clinical outcomes. Psychological outcomes included depression and anxiety, kinesiophobia and catastrophism. Psycho-physical measures included pressure or thermal pain thresholds. Ten studies were considered of high methodological quality. There was heterogeneity in the associations between pain extent and patient-reported outcome measures depending on the pain condition. This scoping review found that pain extent is associated with patient-reported outcome measures more so in patients presenting with musculoskeletal pain, e.g., neck pain or osteoarthritis, rather than for those with neuropathic pain or headache.

The Association of Self-Reported Generalized Joint Hypermobility with pelvic girdle pain during pregnancy: a retrospective cohort study.

BACKGROUND: Pelvic girdle pain (PGP) is common during pregnancy but the causes remain poorly understood. Generalized joint hypermobility (GJH) is an inherited trait, with joint mobility beyond normal limits and is assumed to be related with PGP. The aim of this project was to study the association between self-reported GJH and the presence of PGP during pregnancy. METHODS: In this cohort study, 4884 Swedish-speaking women were consecutively recruited at their first visit for registration in the national antenatal screening programme in Sweden. We used the five-part questionnaire (5PQ) to assess GJH and pain drawings to identify PGP. Our primary outcome was the presence of PGP during the entire pregnancy and secondary outcomes were PGP in each trimesters. We tested the associations with logistic regression analysis, and adjusted for age and ethnicity. RESULTS: In all, 2455 (50.3%) women responded to both questionnaires. The prevalence of self-reported GJH was 28.7%. A higher proportion of women with GJH than women without GJH reported PGP during the entire pregnancy (47.9% vs. 41.0%), particularly in trimester 1 (31.6% vs. 22.0%). Thus, women with GJH also had higher odds of PGP during the entire pregnancy (adjusted odds ratio (aOR) 1.27: 95% CI 1.11-1.47) and in trimester 1 (aOR 1.54: 95% CI 1.20-1.96), but the associations were not statistically significant in trimester 2 (aOR 1.24: 95% CI 0.82-1.88) or trimester 3 (aOR 1.20: 95% CI 0.99-1.45). The odds of PGP in pregnancy increased with increasing numbers of positive answers to the 5PQ (p for linear trend < 0.001) for the entire pregnancy and in trimester 1 (p for linear trend < 0.001), but not in trimesters 2 or 3 (p = 0.13 and p = 0.06, respectively). CONCLUSIONS: Compared to women with normal joint mobility, women with GJH had higher odds of reporting PGP during pregnancy and the odds increased with number of positive responses to the 5PQ. The associations were present in trimester 1 but did not reach statistical significance in trimester 2 and 3.

Computerized quantification of pain drawings.

Background and aims Using a computer algorithm to quantify pain drawings could be useful, especially when large numbers of drawings need to be assessed. Whilst informal visual assessment of pain drawings can give clinicians a quick impression of the extent of pain and its location, formal quantification of pain drawings by computer for research purposes is not necessarily trivial. The current study compared seven different approaches to quantification in a large sample of clinical spinal pain drawings. Methods A large number (n = 55,720) of pain drawings were extracted from the SpineData database, a clinical registry of spinal pain patients in the Region of Southern Denmark. Drawings were analyzed both as pixel (raster) and vector based images, with different approaches based on the raw pain drawing, simple encircling polygons, convex-hull encircling polygons and discrete anatomical regions. Data were analyzed using principal component analysis, correlation and linear regression, as well as informal visual inspection of outlier pain drawings. Results Eighty-one percent of the variance could be explained by the first principal component, which we interpreted as the true score variance, i.e. the variance attributable to differences in pain area between individuals. The second principal component explained 10% of the variance and was loaded differentially by polygon-based methods and non-polygon-based methods. Correlations between the different approaches ranged from 0.66 to 1.00. Some approaches correlated so strongly as to be interchangeable, others tended to bias area estimates significantly. Visual inspection of outlier pain drawing indicated that when the different approaches to quantification yielded different results, characteristic patterns could be identified in the style and patterns of those pain drawings. Conclusions The different approaches reflected the same underlying construct (pain area), but could not be relied upon to produce the same area estimates and were affected by the interaction between drawing style and quantification approach. To some extend, the "correct" choice of quantification method is specific to and dictated by the style of each pain drawing. A differentiated approach is required in which the results of quantification and the drawing style are considered in combination. We provide suggestions for such differentiated approaches taking into account the nature of the drawing data (raster vs. vector) and the method of analysis (partly vs completely automated). Implications The chosen method of quantifying pain drawings in combination with the drawing style of the individual patient, can impact the resulting area estimate to a significant degree. These issues should be considered before undertaking computerized area estimation of pain drawings.