11 research outputs found

    Do subjects with acute/subacute temporomandibular disorder have associated cervical impairments: A cross-sectional study

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    Background There is preliminary evidence of cervical musculoskeletal impairment in some temporomandibular disorder (TMD) pain states. Objectives To determine whether people with TMD, classified as either mild or moderate/severe TMD, have more cervical signs of dysfunction than healthy subjects. Design Cross-sectional survey. Method Based on the Conti Amnestic Questionnaire and examination of the temporomandibular joint (Axis I classification of the Research Diagnostic Criteria for TMD), of 144 people examined 59 were classified to a mild TMD group, 40 to a moderate/severe TMD group and 45 to an asymptomatic control group without TMD. Subjects were evaluated for signs of cervical musculoskeletal impairment and disability including the Neck Disability Index, active cervical range of motion, the Flexion-Rotation Test, mechanical pain threshold of the upper trapezius and obliquus capitis inferior muscles, Cranio-Cervical Flexion test and passive accessory movements of the upper 3 cervical vertebrae. Results According to cervical musculoskeletal dysfunction, the control group without TMD were consistently the least impaired and the group with moderate/severe TMD were the most impaired. These results suggest, that the more dysfunction and pain is identified in the temporomandibular region, the greater levels of dysfunction is observable on a number of cervical musculoskeletal function tests. The pattern of cervical musculoskeletal dysfunction is distinct to other cervical referred pain phenomenon such as cervicogenic headache. Conclusion These findings provide evidence that TMD in an acute/subacute pain state is strongly related with certain cervical spine musculoskeletal impairments which suggests the cervical spine should be examined in patients with TMD as a potential contributing factor

    Applied immuno-epidemiological research: an approach for integrating existing knowledge into the statistical analysis of multiple immune markers.

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    BACKGROUND: Immunologists often measure several correlated immunological markers, such as concentrations of different cytokines produced by different immune cells and/or measured under different conditions, to draw insights from complex immunological mechanisms. Although there have been recent methodological efforts to improve the statistical analysis of immunological data, a framework is still needed for the simultaneous analysis of multiple, often correlated, immune markers. This framework would allow the immunologists' hypotheses about the underlying biological mechanisms to be integrated. RESULTS: We present an analytical approach for statistical analysis of correlated immune markers, such as those commonly collected in modern immuno-epidemiological studies. We demonstrate i) how to deal with interdependencies among multiple measurements of the same immune marker, ii) how to analyse association patterns among different markers, iii) how to aggregate different measures and/or markers to immunological summary scores, iv) how to model the inter-relationships among these scores, and v) how to use these scores in epidemiological association analyses. We illustrate the application of our approach to multiple cytokine measurements from 818 children enrolled in a large immuno-epidemiological study (SCAALA Salvador), which aimed to quantify the major immunological mechanisms underlying atopic diseases or asthma. We demonstrate how to aggregate systematically the information captured in multiple cytokine measurements to immunological summary scores aimed at reflecting the presumed underlying immunological mechanisms (Th1/Th2 balance and immune regulatory network). We show how these aggregated immune scores can be used as predictors in regression models with outcomes of immunological studies (e.g. specific IgE) and compare the results to those obtained by a traditional multivariate regression approach. CONCLUSION: The proposed analytical approach may be especially useful to quantify complex immune responses in immuno-epidemiological studies, where investigators examine the relationship among epidemiological patterns, immune response, and disease outcomes

    Inter- and intra-rater-reliability of a clinical framework for spine-related neck-arm pain

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    Objective A mechanism-based clinical framework for spine-related pain differentiates (i) somatic referred pain, ii) heightened nerve mechanosensitivity, iii) radicular pain, iv) radiculopathy and mixed-pain. This study aimed to determine the reliability of proposed framework. Method Fifty-one people with unilateral spine-related neck-arm pain were assessed and categorized by examiner-1. The classifications were compared to those made by two other examiners, based on written documentation of examiner-1. Cohens kappa was calculated between examiner-pairs; Fleiss Kappa among all examiners to assess agreement in classifying subgroups and entire framework. Result Inter-rater-reliability showed moderate to almost perfect reliability (somatic: no variation, mechanosensitivity: 0.96 (95% CI 0.87–1.0) to 1.0 (95% CI: 1.0–1.0), radicular pain: 0.46 (95% CI: 0.19–0.69) to 0.62 (95% CI: 0.42–0.81), radiculopathy: 0.65 (95% CI: 0.43–0.84) to 0.80 (95% CI: 0.63–0.96) mixed-pain: 0.54 (95% CI: 0.21–0.81) to 0.75 (95% CI: 0.48–0.94). There was almost perfect to moderate reliability among all examiners (somatic: no variation, mechanosensitivity: 0.97 (95% CI: 0.82–1.0), radicular pain: 0.56 (95% CI: 0.40–0.71), radiculopathy: 0.74 (95% CI: 0.58–0.90), mixed-pain: 0.63 (95% CI: 0.47–0.79), entire framework: 0.64 (95% CI: 0.57–0.71)). Intra-rater-reliability showed substantial to almost perfect reliability (somatic: no variation, mechanosensitivity: 0.96 (95% CI: 0.87–1.0), radicular pain: 0.76 (95% CI: 0.57–0.92), radiculopathy: 0.84 (95% CI: 0.67–0.96), mixed-pain: 0.83 (95% CI: 0.60–1.0), entire framework: 0.80 (95% CI: 0.61–0.92). Conclusion Moderate to almost perfect reliability in subgrouping people with spine-related neck-arm pain and substantial reliability for entire framework support this classification's reliability

    Regulation of T<sub>H</sub>17 markers early in life through maternal farm exposure.

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    Background Previous studies suggested that maternal farm exposure during pregnancy modulates early immune development toward an allergy-protective status potentially mediated by TH1 or regulatory T (Treg) cells. However, the underlying mechanisms might involve immune modulation of additional T-cell populations, such as TH17 cells, influenced by genetic predisposition. Objective We examined the role of maternal farm exposure and genetic predisposition on TH17 cell responses to innate and adaptive immune stimulation in cord blood. Methods Eighty-four pregnant mothers were recruited before delivery. Detailed questionnaires (60 nonfarming mother, 22 farming mothers, and 2 exclusions) assessed farming exposures. Cord blood was stimulated with lipid A, peptidoglycan (Ppg), or PHA. TH17 lineage (retinoic acid receptor-related orphan receptor C [RORC], retinoic acid receptor-related orphan receptor &alpha; [RORA], IL-23 receptor [IL23R], IL17, IL17F, and IL22) and Treg cell markers (forkhead box protein 3 [FOXP3], lymphocyte activation gene 3 [LAG3], and glucocorticoid-induced TNF receptor [GITR]) were assessed at the mRNA level. TH17/Treg/T H1/TH2 cytokines and 7 single nucleotide polymorphisms within the TH17 lineage (RORC, IL23R, and IL17) were examined. Results TH17 lineage mRNA markers were expressed at birth at low concentrations independent of maternal farm exposure. A positive correlation between TH17 lineage markers and FOXP3 (mRNA) was observed on stimulation (nonfarming mothers: lipid A, Ppg, and PHA; farming mothers: Ppg and PHA), influenced by maternal farming. Specific single nucleotide polymorphisms within the TH17 lineage genes influenced gene expression of T H17 and Treg cell markers and cytokine secretion. Conclusions Gene expression of TH17 lineage markers in cord blood was not influenced by maternal farming. Yet TH17 and Treg cell markers were positively correlated and influenced by maternal farm exposure. Our data suggest that prenatal exposures and genetic predisposition play a role during early T H17 immune maturation, potentially regulating the development of immune-mediated diseases, such as childhood asthma

    International consensus on the most useful assessments used by physical therapists to evaluate patients with temporomandibular disorders: A Delphi study

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    Objective To identify assessment tools used to evaluate patients with temporomandibular disorders (TMD) considered to be clinically most useful by a panel of international experts in TMD physical therapy (PT). Methods A Delphi survey method administered to a panel of international experts in TMD PT was conducted over three rounds from October 2017 to June 2018. The initial contact was made by email. Participation was voluntary. An e‐survey, according to the Checklist for Reporting Results of Internet E‐Surveys (CHERRIES) was posted using SurveyMonkey for each round. Percentages of responses were analyzed for each question from each round of the Delphi survey administrations. Results Twenty‐three experts (completion rate: 23/25) completed all three rounds of the survey for three clinical test categories: 1) questionnaires, 2) pain screening tools, and 3) physical examination tests. The following was the consensus‐based decision regarding the identification of the clinically most useful assessments. 1) 4 of 9 questionnaires were identified: Jaw Functional Limitation (JFL‐8), Mandibular Function Impairment Questionnaire (MFIQ), Tampa Scale for Kinesiophobia for Temporomandibular disorders (TSK/TMD), and the Neck Disability Index (NDI). 2) 3 of 8 identified pain screening tests: Visual Analogue Scale (VAS), Numeric Pain Rating Scale (NRS), and pain during mandibular movements. 3) 8 of 18 identified physical examination tests: physiological temporomandibular joint (TMJ) movements, trigger point (TrP) palpation of the masticatory muscles, TrP palpation away from the masticatory system, accessory movements, articular palpation, noise detection during movement, manual screening of the cervical spine, and the Neck Flexor Muscle Endurance Test. Conclusion After three rounds in this Delphi survey, the results of the most used assessment tools by TMD PT experts were established. They proved to be founded on test construct, test psychometric properties (reliability/validity), and expert preference for test clusters. A concordance with the screening tools of the diagnostic criteria of TMD consortium was noted. Findings may be used to guide policymaking purposes and future diagnostic research
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