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Julsvoll EH, Myhrvold BL, Waagan K, Vøllestad NK, Robinson HS. Identifying phenotypes in persons with temporomandibular disorders, using latent class analyses: Temporomandibular disorders and phenotypes. J Oral Rehabil 2024; 51:2435-2444. [PMID: 39175126 DOI: 10.1111/joor.13837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/20/2024] [Accepted: 08/01/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND The heterogeneity of persons with temporomandibular disorders (TMD) and the lack of effective treatments have called for a biopsychosocial model and the development of a more personalised treatment approach. Emphasis on phenotypes might be a beneficial approach. OBJECTIVE Identifying phenotypes among persons with TMD using potential prognostic factors, including personal characteristics and responses to clinical tests. Additionally, examining the distribution of TMD diagnoses within the identified phenotypes. METHODS A cross-sectional study including 208 persons (85% females) seeking physiotherapy for problems in the temporomandibular area. All participants were examined clinically and answered questionnaires electronically. The phenotypes were identified using latent class analysis based on seven potential prognostic factors selected within pain, function and psychological domains. Table analysis was used to explore the distribution of TMD diagnoses within the identified phenotypes. RESULTS Most participants fit into one of three identified phenotypes. Phenotype 1 (32%) was characterised by functional disability, low psychosocial scores and low risk for developing chronicity and future work disability; Phenotype 2 (29%) by parafunctional habits, low psychosocial score and seeking treatment to reduce pain; and Phenotype 3 (39%) by high levels of mental distress, fear avoidance and a large risk of future work disability. Intra-articular disorders dominated Phenotype 1, myalgia and TMD-related headache Phenotype 2, while Phenotype 3 included all the different TMD diagnoses. CONCLUSION The knowledge about the three identified phenotypes might be useful for clinicians treating persons with TMD and for the development of preventive strategies and more personalised treatment.
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Affiliation(s)
- Elisabeth Heggem Julsvoll
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway
- Hans & Olaf Outpatient Physiotherapy Clinic, Oslo, Norway
| | - Birgitte Lawaetz Myhrvold
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Knut Waagan
- IT Department, University of Oslo, Oslo, Norway
| | - Nina Køpke Vøllestad
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Hilde Stendal Robinson
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway
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Chang NHS, Nim C, Harsted S, Young JJ, O'Neill S. Data-driven identification of distinct pain drawing patterns and their association with clinical and psychological factors: a study of 21,123 patients with spinal pain. Pain 2024; 165:2291-2304. [PMID: 38743560 PMCID: PMC11404331 DOI: 10.1097/j.pain.0000000000003261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 03/14/2024] [Indexed: 05/16/2024]
Abstract
ABSTRACT The variability in pain drawing styles and analysis methods has raised concerns about the reliability of pain drawings as a screening tool for nonpain symptoms. In this study, a data-driven approach to pain drawing analysis has been used to enhance the reliability. The aim was to identify distinct clusters of pain patterns by using latent class analysis (LCA) on 46 predefined anatomical areas of a freehand digital pain drawing. Clusters were described in the clinical domains of activity limitation, pain intensity, and psychological factors. A total of 21,123 individuals were included from 2 subgroups by primary pain complaint (low back pain (LBP) [n = 15,465]) or midback/neck pain (MBPNP) [n = 5658]). Five clusters were identified for the LBP subgroup: LBP and radiating pain (19.9%), radiating pain (25.8%), local LBP (24.8%), LBP and whole leg pain (18.7%), and widespread pain (10.8%). Four clusters were identified for the MBPNP subgroup: MBPNP bilateral posterior (19.9%), MBPNP unilateral posterior + anterior (23.6%), MBPNP unilateral posterior (45.4%), and widespread pain (11.1%). The clusters derived by LCA corresponded to common, specific, and recognizable clinical presentations. Statistically significant differences were found between these clusters in every self-reported health domain. Similarly, for both LBP and MBPNP, pain drawings involving more extensive pain areas were associated with higher activity limitation, more intense pain, and more psychological distress. This study presents a versatile data-driven approach for analyzing pain drawings to assist in managing spinal pain.
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Affiliation(s)
- Natalie Hong Siu Chang
- Medical Spinal Research Unit, Spine Centre of Southern Denmark, University Hospital of Southern Denmark, Middelfart, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Casper Nim
- Medical Spinal Research Unit, Spine Centre of Southern Denmark, University Hospital of Southern Denmark, Middelfart, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Steen Harsted
- Medical Spinal Research Unit, Spine Centre of Southern Denmark, University Hospital of Southern Denmark, Middelfart, Denmark
- Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - James J Young
- Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Canada
| | - Søren O'Neill
- Medical Spinal Research Unit, Spine Centre of Southern Denmark, University Hospital of Southern Denmark, Middelfart, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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Liu C, Ferreira GE, Abdel Shaheed C, Chen Q, Harris IA, Bailey CS, Peul WC, Koes B, Lin CWC. Surgical versus non-surgical treatment for sciatica: systematic review and meta-analysis of randomised controlled trials. BMJ 2023; 381:e070730. [PMID: 37076169 PMCID: PMC10498296 DOI: 10.1136/bmj-2022-070730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 04/21/2023]
Abstract
OBJECTIVE To investigate the effectiveness and safety of surgery compared with non-surgical treatment for sciatica. DESIGN Systematic review and meta-analysis. DATA SOURCES Medline, Embase, CINAHL, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, and the World Health Organisation International Clinical Trials Registry Platform from database inception to June 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Randomised controlled trials comparing any surgical treatment with non-surgical treatment, epidural steroid injections, or placebo or sham surgery, in people with sciatica of any duration due to lumbar disc herniation (diagnosed by radiological imaging). DATA EXTRACTION AND SYNTHESIS Two independent reviewers extracted data. Leg pain and disability were the primary outcomes. Adverse events, back pain, quality of life, and satisfaction with treatment were the secondary outcomes. Pain and disability scores were converted to a scale of 0 (no pain or disability) to 100 (worst pain or disability). Data were pooled using a random effects model. Risk of bias was assessed with the Cochrane Collaboration's tool and certainty of evidence with the grading of recommendations assessment, development, and evaluation (GRADE) framework. Follow-up times were into immediate term (≤six weeks), short term (>six weeks and ≤three months), medium term (>three and <12 months), and long term (at 12 months). RESULTS 24 trials were included, half of these investigated the effectiveness of discectomy compared with non-surgical treatment or epidural steroid injections (1711 participants). Very low to low certainty evidence showed that discectomy, compared with non-surgical treatment, reduced leg pain: the effect size was moderate at immediate term (mean difference -12.1 (95% confidence interval -23.6 to -0.5)) and short term (-11.7 (-18.6 to -4.7)), and small at medium term (-6.5 (-11.0 to -2.1)). Negligible effects were noted at long term (-2.3 (-4.5 to -0.2)). For disability, small, negligible, or no effects were found. A similar effect on leg pain was found when comparing discectomy with epidural steroid injections. For disability, a moderate effect was found at short term, but no effect was observed at medium and long term. The risk of any adverse events was similar between discectomy and non-surgical treatment (risk ratio 1.34 (95% confidence interval 0.91 to 1.98)). CONCLUSION Very low to low certainty evidence suggests that discectomy was superior to non-surgical treatment or epidural steroid injections in reducing leg pain and disability in people with sciatica with a surgical indication, but the benefits declined over time. Discectomy might be an option for people with sciatica who feel that the rapid relief offered by discectomy outweighs the risks and costs associated with surgery. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42021269997.
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Affiliation(s)
- Chang Liu
- Sydney Musculoskeletal Health, University of Sydney, Sydney, NSW, Australia
- Department of Orthopaedic Surgery, Shanghai Sixth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
| | - Giovanni E Ferreira
- Sydney Musculoskeletal Health, University of Sydney, Sydney, NSW, Australia
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
| | - Christina Abdel Shaheed
- Sydney Musculoskeletal Health, University of Sydney, Sydney, NSW, Australia
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
- Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Qiuzhe Chen
- Sydney Musculoskeletal Health, University of Sydney, Sydney, NSW, Australia
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
| | - Ian A Harris
- Ingham Institute for Applied Medical Research, South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Christopher S Bailey
- Department of Surgery, Western University, London Health Sciences Centre, London, ON, Canada
| | - Wilco C Peul
- Neurosurgical Center Holland, Leiden University Medical Center and Haaglanden MC and Haga Teaching Hospital, The Hague-Leiden, Netherlands
| | - Bart Koes
- Department of General Practice, Erasmus MC, University Medical Center Rotterdam, Netherlands
| | - Chung-Wei Christine Lin
- Sydney Musculoskeletal Health, University of Sydney, Sydney, NSW, Australia
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
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Raymaekers V, Bamps S, Duyvendak W, Put E, Roosen G, Vanvolsem S, Wissels M, Vanneste S, De Ridder D, Plazier M. Real world data collection and cluster analysis in patients with sciatica due to lumbar disc herniation. Clin Neurol Neurosurg 2022; 217:107246. [DOI: 10.1016/j.clineuro.2022.107246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/04/2022] [Accepted: 04/10/2022] [Indexed: 11/03/2022]
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Beyond the Diagnosis: Using Patient Characteristics and Domains of Tendon Health to Identify Latent Subgroups of Achilles Tendinopathy. J Orthop Sports Phys Ther 2021; 51:440-448. [PMID: 34074130 PMCID: PMC8410667 DOI: 10.2519/jospt.2021.10271] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To identify latent subgroups among patients with Achilles tendinopathy, describe patient characteristics and clinical attributes that defined each subgroup, and develop a clinical classification model for subgroup membership. DESIGN Cross-sectional study. METHODS One hundred forty-five participants (men, n = 73; mean ± SD age, 51 ± 14 years) with clinically diagnosed Achilles tendinopathy completed a baseline evaluation, including demographics and medical history, patient-reported outcome measures, a clinical exam, tendon structure measures via ultrasound imaging and continuous shear-wave elastography, and a functional test battery. Subgroups were identified using mixture modeling. We compared the subgroups using a 1-way analysis-of-variance or chi-square test and the Tukey post hoc test to identify defining attributes. We developed a clinical classification model using logistic regression and receiver operating characteristic curves. RESULTS Three latent subgroups were identified and named by their distinctive patient characteristics and clinical attributes. The activity-dominant subgroup (n = 67), on average, had the highest physical activity level, function, and quality of life; reported mild symptoms; and was the youngest. The psychosocial-dominant subgroup (n = 56), on average, had the worst symptoms, impaired function, heightened psychological factors, the poorest quality of life, minimal tendon structural alterations, and was obese and predominantly female. The structure-dominant subgroup (n = 22), on average, had the most tendon structural alterations, severe functional deficits, moderate symptoms and psychological factors, reduced quality of life, and was the oldest, obese, and predominantly male. The clinical classification model correctly classified 85% (123/145) of participants. CONCLUSION Three Achilles tendinopathy subgroups (activity dominant, psychosocial dominant, and structure dominant) differed in patient characteristics and clinical attributes. J Orthop Sports Phys Ther 2021;51(9):440-448. Epub 1 Jun 2021. doi:10.2519/jospt.2021.10271.
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Zhang W, Stinson J, Huang Q, Makkar M, Wang J, Jibb L, Cheng L, Yuan C. Identification and Characteristics of the Three Subgroups of Pain in Chinese Children and Adolescents with Cancer. J Pediatr Nurs 2021; 59:e13-e19. [PMID: 33752933 DOI: 10.1016/j.pedn.2021.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 01/18/2021] [Accepted: 01/18/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE Pain is a distressing symptom for children and adolescents with cancer and is experienced by individuals differently. This study sought to determine subgroups according to their pain experiences, and how demographic, clinical, and quality of life (QOL)-related characteristics might differ across subgroups. DESIGN AND METHODS This cross-sectional study recruited 187 pediatric patients with cancer aged 8 to 17 years old and asked them to complete measures of pain intensity, pain duration, pain interference and pain control using the Chinese translation of the validated questionnaire from the Pain Squad app, as well as 7 PROMIS measures assessing QOL-related outcomes. Latent profile analysis (LPA) was used to identify latent subgroups. RESULTS Three subgroups of children were identified: low-pain/low-duration (69.5%), moderate-pain/high-duration (19.8%), and high-pain/moderate-duration (10.7%). Hospitalized children were more likely to be in the moderate-pain/high-duration subgroup. Children in the high-pain/moderate-duration subgroup were more likely to be cared for by unemployed caregivers. Scores on depressive symptoms (p = 0.002), anger (p < 0.001), anxiety (p = 0.045), fatigue (p = 0.044), and mobility (p = 0.008) questionnaire were significantly worse in the high-pain/moderate-duration subgroup than the other two subgroup. PRACTICE IMPLICATIONS This study provides a scientific foundation for further studies exploring predictive factors related to pain experiences. More targeted treatment strategies targeting the specific characteristics of each subgroup will help improve patients' QOL and use of medical resources. CONCLUSIONS The 3 identified pain subgroups demonstrate the heterogeneity in pain experiences among pediatric patients with cancer. Knowledge of these subgroups can assist clinicians in better identifying and targeting pain treatment for children with cancer.
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Affiliation(s)
- Wen Zhang
- School of Nursing, Fudan University, Shanghai, China
| | - Jennifer Stinson
- Child Health Evaluation Sciences, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada; Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada
| | - Qingmei Huang
- School of Nursing, Fudan University, Shanghai, China
| | - Mallika Makkar
- Child Health Evaluation Sciences, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jiashu Wang
- School of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Lindsay Jibb
- Child Health Evaluation Sciences, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada; Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada
| | - Lei Cheng
- School of Nursing, Fudan University, Shanghai, China
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"Shooting pain" in lumbar radiculopathy and trigeminal neuralgia, and ideas concerning its neural substrates. Pain 2021; 161:308-318. [PMID: 31651576 DOI: 10.1097/j.pain.0000000000001729] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Patients with radicular low back pain (radicular LBP, sciatica) frequently describe their pain as "shooting" or "radiating." The dictionary meaning of these words implies rapid movement, and indeed, many sufferers report feeling pain moving rapidly from the lower back or buttock into the leg. But, others do not. Moreover, the sensation of movement is paradoxical; it is neither predicted nor accounted for by current ideas about the pathophysiology of radicular LBP. We have used a structured questionnaire to evaluate the sensory qualities associated with "shooting" and "radiating" in 155 patients, 98 with radicular LBP and 57 with trigeminal neuralgia, a second chronic pain condition in which shooting/radiating are experienced. Results indicated a spectrum of different sensations in different people. Although many sciatica patients reported rapid downward movement of their pain, even more reported downward expansion of the area of pain, some reported upward movement, and for some, there was no spatial dynamic at all. The velocity of movement or expansion was also variable. By cross-referencing sensations experienced in the sciatica and trigeminal neuralgia cohorts with known signal processing modes in the somatosensory system, we propose testable hypotheses concerning the pathophysiology of the various vectorial sensations reported, their direction and velocity, and the structures in which they are generated. Systematic evaluation of qualitative features of "shooting" and "radiating" pain at the time of diagnosis can shed light on the pain mechanism in the individual patient and perhaps contribute to a better therapeutic outcomes.
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Wilder-Smith CH, Drewes AM, Materna A, Olesen SS. Extragastrointestinal Symptoms and Sensory Responses During Breath Tests Distinguish Patients With Functional Gastrointestinal Disorders. Clin Transl Gastroenterol 2020; 11:e00192. [PMID: 32955198 PMCID: PMC7431249 DOI: 10.14309/ctg.0000000000000192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 06/08/2020] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Patients with functional gastrointestinal disorders (FGIDs) are classified based on their gastrointestinal (GI) symptoms, without considering their frequent extra-GI symptoms. This study defined subgroups of patients using both GI and extra-GI symptoms and examined underlying mechanisms with fructose and lactose breath tests. METHODS Latent class analysis defined distinct clusters of patients with FGID based on their long-term GI and extra-GI symptoms. Sensory and breath gas responses after fructose and lactose ingestion were compared across symptom clusters to investigate differences in sensory function and fermentation by intestinal microbiota. RESULTS Six symptom clusters were identified in 2,083 patients with FGID. Clusters were characterized mainly by GI fermentation-type (cluster 1), allergy-like (cluster 2), intense pain-accentuated GI symptoms (cluster 3), central nervous system (cluster 4), musculoskeletal (cluster 5), and generalized extra-GI (cluster 6) symptoms. In the 68% of patients with complete breath tests, the areas under the curve of GI and central nervous system symptoms after fructose and lactose ingestion differed across the clusters (P < 0.001). The clusters with extensive long-term extra-GI symptoms had greater symptoms after the sugars and were predominantly women, with family or childhood allergy histories. Importantly, the areas under the curves of hydrogen and methane breath concentrations were similar (P > 0.05) across all symptom clusters. Rome III criteria did not distinguish between the symptom clusters. DISCUSSION Patients with FGID fall into clusters defined extensively by extra-GI symptoms. Greater extra-GI symptoms are associated with evidence of generalized sensory hypersensitivity to sugar ingestion, unrelated to intestinal gas production. Possible underlying mechanisms include metabolites originating from the intestinal microbiota and somatization.
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Affiliation(s)
| | - Asbjørn M. Drewes
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Andrea Materna
- Brain-Gut Research Group, Gastroenterology Group Practice, Bern, Switzerland
| | - Søren S. Olesen
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
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Meisingset I, Vasseljen O, Vøllestad NK, Robinson HS, Woodhouse A, Engebretsen KB, Glette M, Øverås CK, Nordstoga AL, Evensen KAI, Skarpsno ES. Novel approach towards musculoskeletal phenotypes. Eur J Pain 2020; 24:921-932. [PMID: 32040225 DOI: 10.1002/ejp.1541] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/20/2019] [Accepted: 02/02/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The multidimensional array of clinical features and prognostic factors makes it difficult to optimize management within the heterogeneity of patients with common musculoskeletal pain. This study aimed to identify phenotypes across prognostic factors and musculoskeletal complaints. Concurrent and external validity were assessed against an established instrument and a new sample, respectively, and treatment outcome was described. METHODS We conducted a longitudinal observational study of 435 patients (aged 18-67 years) seeking treatment for nonspecific complaints in the neck, shoulder, low back or multisite/complex pain in primary health care physiotherapy in Norway. Latent class analysis was used to identify phenotypes based on 11 common prognostic factors within four biopsychosocial domains; pain, beliefs and thoughts, psychological and activity and lifestyle. RESULTS Five distinct phenotypes were identified. Phenotype 1 (n = 77, 17.7%) and 2 (n = 142, 32.6%) were characterized by the lowest scores across all biopsychosocial domains. Phenotype 2 showed somewhat higher levels of symptoms across the biopsychosocial domains. Phenotype 3 (n = 89, 20.5%) and 4 (n = 78, 17.9%) were more affected across all domains, but phenotype 3 and 4 had opposite patterns in the psychological and pain domains. Phenotype 5 (n = 49, 11.3%) were characterized by worse symptoms across all domains, indicating a complex phenotype. The identified phenotypes had good external and concurrent validity, also differentiating for the phenotypes in function and health-related quality of life outcome at 3-month follow-up. CONCLUSION The phenotypes may inform the development of targeted interventions aimed at improving the treatment efficiency in patients with common musculoskeletal disorders. SIGNIFICANCE This observational prospective study identified five distinct and clinically meaningful phenotypes based on biopsychosocial prognostic factors across common musculoskeletal pain. These phenotypes were independent of primary pain location, showed good external validity, and clear variation in treatment outcome. The findings are particularly valuable as they describe the heterogeneity of patients with musculoskeletal pain and points to a need for more targeted interventions in common musculoskeletal disorders to improve treatment outcome.
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Affiliation(s)
- Ingebrigt Meisingset
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Ottar Vasseljen
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Nina K Vøllestad
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Hilde S Robinson
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Astrid Woodhouse
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kaia B Engebretsen
- Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Oslo, Norway.,Department of Physical Medicine and Rehabilitation, Oslo University Hospital HF, Oslo, Norway
| | - Mari Glette
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Cecilie K Øverås
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anne L Nordstoga
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kari A I Evensen
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway.,Unit for Physiotherapy Services, Trondheim, Norway
| | - Eivind S Skarpsno
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Glette M, Stiles TC, Borchgrevink PC, Landmark T. The Natural Course of Chronic Pain in a General Population: Stability and Change in an Eight-Wave Longitudinal Study Over Four Years (the HUNT Pain Study). THE JOURNAL OF PAIN 2019; 21:689-699. [PMID: 31698134 DOI: 10.1016/j.jpain.2019.10.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 10/06/2019] [Accepted: 10/30/2019] [Indexed: 12/22/2022]
Abstract
Epidemiological studies have to a little extent addressed the potential fluctuations of chronic pain over time, and there is a lack of information about the long-term course of pain using repeated measurements. We wanted to identify different trajectories of pain during 8 waves of follow-up over 4 years among individuals in the general population reporting pain lasting at least 6 months at baseline. Secondarily, we wanted to investigate whether biopsychosocial factors at baseline were associated with the different pain trajectories. Longitudinal Latent Class Analysis was performed to classify a random sample of 1905 participants from a larger population-based study (HUNT3) into groups based on their longitudinal pain severity reporting. A five-class solution gave the best fit. The terms chosen to describe the pain trajectories were: "fluctuating" (n = 586 [31%]), "persistent mild" (n = 449 [24%]), "persistent moderate" (n = 414 [22%]), "persistent severe" (n = 251 [13%]), and "gradual improvement" (n = 205 [11%]). In a multinomial logistic regression model using "gradual improvement" as the reference category, the "persistent moderate", "persistent severe", and "fluctuating" pain groups were associated with chronic widespread pain, elevated levels of catastrophizing, and poorer mental health. The "persistent mild" group was associated with sleep difficulties only. This study finds that although most individuals have a stable pain course, individuals in the largest distinct trajectory reports pain that fluctuate between mild and moderate levels, thus fluctuating under and above the chronic pain definition using moderate pain or more as a criterion. PERSPECTIVE: When examining the long-term course of chronic pain in the general population, 5 trajectories emerge. Although most individuals have stable pain, the largest distinct trajectory fluctuated under and above the chronic pain cut-off, using moderate pain or more as a criterion. A dichotomous categorization of chronic pain may be overly simplistic.
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Affiliation(s)
- Mari Glette
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; National Competence Centre for Complex Symptom Disorders, Clinic of Anesthesia and Intensive Care, St. Olav's University Hospital, Trondheim, Norway.
| | - Tore C Stiles
- National Competence Centre for Complex Symptom Disorders, Clinic of Anesthesia and Intensive Care, St. Olav's University Hospital, Trondheim, Norway; Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Petter C Borchgrevink
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; National Competence Centre for Complex Symptom Disorders, Clinic of Anesthesia and Intensive Care, St. Olav's University Hospital, Trondheim, Norway
| | - Tormod Landmark
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; National Competence Centre for Complex Symptom Disorders, Clinic of Anesthesia and Intensive Care, St. Olav's University Hospital, Trondheim, Norway
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Stynes S, Grøvle L, Haugen AJ, Konstantinou K, Grotle M. New insight to the characteristics and clinical course of clusters of patients with imaging confirmed disc-related sciatica. Eur J Pain 2019; 24:171-181. [PMID: 31454467 DOI: 10.1002/ejp.1475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 08/16/2019] [Accepted: 08/21/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Referral to secondary care is common for a considerable proportion of patients with persistent sciatica symptoms. It is unclear if information from clinical assessment can further identify distinct subgroups of disc-related sciatica, with perhaps different clinical courses. AIMS This study aims to identify and describe clusters of imaging confirmed disc-related sciatica patients using latent class analysis, and compare their clinical course. METHODS The study population were 466 patients with disc-related sciatica. Variables from clinical assessment were included in the analysis. Characteristics of the identified clusters were described and their clinical course over 2 years was compared. RESULTS A four-cluster solution was optimal. Cluster 1 (n = 110) had mild back and leg pain; cluster 2 (n = 59) had moderate back and leg pain; cluster 3 (n = 158) had mild back pain and severe leg pain; cluster 4 (n = 139) had severe back and leg pain. Patients in cluster 4 had the most severe profile in terms of disability, distress and comorbidity and the lowest reported global change and the smallest proportion of patients with a successful outcome at 2 years. Of the 135 patients who underwent surgery, 42% and 41% were in clusters 3 and 4, respectively. CONCLUSIONS Using a strict diagnosis of sciatica, this work identified four clusters of patients primarily differentiated by back and leg pain severity. Patients with severe back and leg pain had the most severe profile at baseline and follow-up irrespective of intervention. This simple classification system may be useful when considering prognosis and management with sciatica patients. SIGNIFICANCE Using data from a large observational prospective study, this work identifies four distinct clusters of patients with imaging confirmed disc-related sciatica. This classification could be used when considering prognosis and management with sciatica patients at their initial consultation.
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Affiliation(s)
- Siobhán Stynes
- Primary Care Centre Versus Arthritis, School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Haywood Hospital, Midlands Partnership NHS Foundation Trust, Stoke-on-Trent, Staffordshire, UK
| | - Lars Grøvle
- Department of Rheumatology, Østfold Hospital Trust, Grålum, Norway
| | | | - Kika Konstantinou
- Primary Care Centre Versus Arthritis, School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK.,Haywood Hospital, Midlands Partnership NHS Foundation Trust, Stoke-on-Trent, Staffordshire, UK
| | - Margreth Grotle
- Faculty of Health Science, OsloMet - Oslo Metropolitan University, Oslo, Norway.,Research and Communication Unit for Musculoskeletal Health, Oslo University Hospital, Oslo, Norway
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