Predictive models for short-term and long-term improvement in women under physiotherapy for chronic disabling neck pain: a longitudinal cohort study

The Effect of ISBT-Bowen Therapy in the Treatment of Myofascial Neck Pain-a Randomized, Single-Blinded Clinical Trial

Background

Myofascial pain syndrome (MPS) is the most common diagnosis in patient presenting with chronic non-specific neck pain. It affects people's work performance, productivity, and quality of life. To date, there is little research evaluating the effectiveness of non-invasive techniques, such as ISBT-Bowen Therapy in managing neck MPS.

Objectives

To investigate the effectiveness of Bowen therapy in managing myofascial pain syndrome with symptoms lasting for more than six weeks. The study will also examine the long-term effect of ISBT-Bowen Therapy on functional enhancement, quality of life, and physical and mental well-being.

Methods

This is a prospective, single-blinded randomized controlled trial (RCT). A total of 90 myofascial neck pain patients were recruited and randomized to receive 8 sessions of ISBT-Bowen Therapy over a 12-week period (n = 45) or to continue their usual conventional treatment (n = 45). Pressure pain threshold (PPT), cervical range of motion (CROM), numerical rating pain scores, Neck Disability Index (NDI), SF-12 Health Survey (SF-12) Version 2, Generalized Anxiety Disorder 7-item (GAD7), and Patient Health Questionnaire (PHQ9) were measured at baseline, 12 weeks, and 24 weeks after baseline.

Results

When compared with the control group, PPT significantly increased after ISBT-Bowen Therapy at 12 and 24 weeks. CROM on flexion, lateral flexion, and rotation were greatly improved at 12 weeks after Bowen therapy, and maintained at 24 weeks, except left lateral flexion. NDI, GAD7, and PHQ9 were all reduced after Bowen Therapy at both 12 and 24 weeks. Both Physical and Mental Component Summary scores of SF-12 were improved after Bowen therapy at 12 and 24 weeks.

Conclusions

This study confirmed the efficacy of ISBT-Bowen Therapy for patients with MPS. It alleviates pain, improves functional outcomes, enhances quality of life, and relieves mood symptoms.

The association between psychosocial factors and mental health symptoms in cervical spine pain with or without radiculopathy on health outcomes: a systematic review

BACKGROUND

Neck pain, with or without radiculopathy, can have significant negative effects on physical and mental wellbeing. Mental health symptoms are known to worsen prognosis across a range of musculoskeletal conditions. Understanding the association between mental health symptoms and health outcomes in this population has not been established. Our aim was to systematically review the association between psychosocial factors and/or mental health symptoms on health outcomes in adults with neck pain, with or without radiculopathy.

METHODS

A systematic review of published and unpublished literature databases was completed. Studies reporting mental health symptoms and health outcomes in adults with neck pain with or without radiculopathy were included. Due to significant clinical heterogeneity, a narrative synthesis was completed. Each outcome was assessed using GRADE.

RESULTS

Twenty-three studies were included (N = 21,968 participants). Sixteen studies assessed neck pain only (N = 17,604 participants); seven studies assessed neck pain with radiculopathy (N = 4,364 participants). Depressive symptoms were associated with poorer health outcomes in people with neck pain and neck pain with radiculopathy. These findings were from seven low-quality studies, and an additional six studies reported no association. Low-quality evidence reported that distress and anxiety symptoms were associated with poorer health outcomes in people with neck pain and radiculopathy and very low-quality evidence showed this in people with neck pain only. Stress and higher job strain were negatively associated with poorer health outcomes measured by the presence of pain in two studies of very low quality.

CONCLUSIONS

Across a small number of highly heterogenous, low quality studies mental health symptoms are negatively associated with health outcomes in people with neck pain with radiculopathy and neck pain without radiculopathy. Clinicians should continue to utilise robust clinical reasoning when assessing the complex factors impacting a person's presentation with neck pain with or without radiculopathy.

PROSPERO REGISTRATION NUMBER

CRD42020169497.

Prediction of Patient Satisfaction after Treatment of Chronic Neck Pain with Mulligan's Mobilization

Chronic neck pain is among the most common types of musculoskeletal pain. Manual therapy has been shown to have positive effects on this type of pain, but there are not yet many predictive models for determining how best to apply manual therapy to the different subtypes of neck pain. The aim of this study is to develop a predictive learning approach to determine which basal outcome could give a prognostic value (Global Rating of Change, GRoC scale) for Mulligan's mobilization technique and to identify the most important predictive factors for recovery in chronic neck pain subjects in four key areas: the number of treatments, time of treatment, reduction of pain, and range of motion (ROM) increase. A prospective cohort dataset of 80 participants with chronic neck pain diagnosed by their family doctor was analyzed. Logistic regression and machine learning modeling techniques (Generalized Boosted Models, Support Vector Machine, Kernel, Classsification and Decision Trees, Random Forest and Neural Networks) were each used to form a prognostic model for each of the nine outcomes obtained before and after intervention: disability-neck disability index (NDI), patient satisfaction (GRoC), quality of life (12-Item Short Form Survey, SF-12), State-Trait Anxiety Inventory (STAI), Beck Depression Inventory (BDI II), pain catastrophizing scale (ECD), kinesiophobia-Tampa scale of kinesiophobia (TSK-11), Pain Intensity Visual Analogue Scale (VAS), and cervical ROM. Pain descriptions from the subjects and pain body diagrams guided the physical examination. The most important predictive factors for recovery in chronic neck pain patients indicated that the more anxiety and the lower the ROM of lateroflexion, the higher the probability of success with the Mulligan concept treatment.

N-myc and STAT interactor is a novel biomarker of severity in community-acquired pneumonia: a prospective study

Objectives

To tested the ability of N-myc and STAT interactor (NMI) levels in patients with community-acquired pneumonia (CAP) to predict the severity of the disease.

Methods

Prospective observational analysis of patients with CAP was performed. The NMI levels in serum of 394 CAP patients on admission were measured by immunoassay. Thirty-day mortality and intensive care unit (ICU) admission were set as clinical outcomes. The predicting value of NMI for clinical outcomes was determined by receiver operating characteristic curve and logistic regression analysis. The internal validity was assessed using cross-validation with bootstrap resampling.

Results

NMI was an independent risk factor for both 30-day mortality and admission to ICU for CAP patients. The area under curve (AUC) of NMI to predict mortality was 0.91 (95% CI: 0.86–0.96), and that to predict ICU admission was 0.92 (95% CI: 0.88–0.97), significantly higher than that of other biomarkers including procalcitonin and C-reactive protein. The proportion of clinical outcomes notably rose as NMI levels elevated (P < 0.001). The AUCs of the new score systems including NMI (N-PSI and N-CURB65 score) to predict outcomes were significantly higher than the original score systems.

Conclusions

NMI is a novel biomarker for predicting CAP severity superior to former biomarkers in 30-day mortality and ICU admission.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12931-022-02139-x.

Sleep disturbance is associated with neck pain: a 3-year longitudinal study after the Great East Japan Earthquake

Background

Neck pain is a common health problem in the general population as well as in people after natural disasters. Sleep disturbances are gaining attention as risk factors for musculoskeletal pain; however, the association between sleep disturbance and neck pain has not been clarified. The present study aimed to clarify the association between sleep disturbance and neck pain, especially focusing on the effect of the duration of sleep disturbance, after the Great East Japan Earthquake.

Methods

This study used 3-year longitudinal data obtained from individuals (n = 2,059) living in disaster-affected areas after the Great East Japan Earthquake. Sleep disturbance and neck pain were investigated at 4, 5, 6, and 7 years after the disaster. Multivariate logistic regression analyses were used for the assessment.

Results

Sleep disturbance was significantly associated with neck pain, and the association was stronger as the duration of sleep disturbance increased (adjusted odds ratios [95% confidence intervals]: 1.84 [1.23–2.75] for “ < 1 year”; 2.41 [1.53–3.81] for “ ≥ 1 year and < 2 years”; 2.80 [2.09–3.76] for “ ≥ 2 years”). Furthermore, preceding sleep disturbance was significantly associated with the onset of neck pain, and the association was stronger as the duration of sleep disturbance increased (adjusted odds ratios [95% confidence intervals]: 1.86 [1.08–3.20] for “ < 1 year”; 2.39 [1.22–4.70] for “ ≥ 1 year and < 2 years”; 3.00 [1.94–4.65] for “ ≥ 2 years”).

Conclusions

Sleep disturbance is associated with neck pain, and long-lasting sleep disturbance strengthens the association. Clinicians should consider this association to effectively treat patients with neck pain, especially those affected by natural disasters.

Predictors of failure to achieve minimal clinical important difference for pain and disability after mechanical diagnosis and therapy (MDT)-based multimodal rehabilitation for neck pain: a retrospective analysis of 4998 patients

PURPOSE

To determine predictors of failure to achieve minimal clinical important difference (MCID) for pain and disability at discharge after mechanical diagnosis and therapy (MDT)-based multimodal rehabilitation for neck pain (NP).

METHODS

Pre- and post-treatment numerical pain rating scale (NPRS) and neck disability index (NDI) in patients with mechanical NP were analysed in this retrospective study. Multivariate analysis was performed to investigate the effect of covariates such as age, gender, lifestyle, body mass index, presentation, diabetes, osteoporosis, response to repeated movement testing, treatment sessions, compliance rate, and pre-treatment NPRS and NDI scores on failure to achieve MCID of ≥ 30% for NPRS and NDI scores post-treatment.

RESULTS

In the 4998 patients analysed for this study, 7% and 14.5% of patients failed to achieve MCID for NPRS and NDI scores, respectively, at the end of treatment. Age > 70 years, diabetes, osteoporosis, partial or non-response to repeated movements, lesser treatment sessions, and lower compliance rate were associated with increased risk for failure to achieve MCID for NPRS and NDI scores. A higher pre-treatment NDI score was associated with failure to achieve MCID for NPRS score, whereas lower pre-treatment NPRS and NDI scores were associated with failure to achieve MCID for NDI score.

CONCLUSION

Although MDT-based multimodal rehabilitation helped to achieve significant reduction in pain and disability in mechanical NP, several baseline risk factors were associated with failure to achieve MCID for pain and disability after treatment. Identifying and modifying these factors as part of rehabilitation treatment may help to achieve better outcomes in mechanical NP.

Limited prognostic value of pain duration in non-specific neck pain patients seeking chiropractic care

BACKGROUND

Pain chronicity is considered an important prognostic factor for outcome. Here, it was investigated whether pain duration influences outcome when only chronic patients (pain > three months) are considered. Secondary aims were to determine, in patients of any pain duration, how much variance in outcome is explained by pain duration and whether pain duration truly predicts outcomes, i.e. out-of-sample prediction in independent data.

METHODS

Secondary analysis of a cohort study of neck pain patients. Patients were assessed before start of treatment and at one week, one, three, six- and 12-months follow-up. Outcomes were Patient Global Impression of Change (PGIC) and percent change of patients' perceived pain intensity, rated on a numerical rating scale (NRS). Regression analyses (linear and logistic) and supervised machine learning were used to test the influence of pain duration on PGIC and percent NRS change at one week, one, three, six- and 12-months follow-up within sample and out-of-sample. Separate analyses were performed for the full sample (n=720) and for chronic patients (n=238) only.

RESULTS

No relationship between pain duration and outcome was found for chronic patients only. For the full sample, statistical relationships between pain duration and outcomes were observed at all tested follow-up time points. However, the amount of variance in outcome explained by pain duration was low and no out-of-sample prediction was possible.

CONCLUSIONS

Pain duration did not emerge as an important predictor of outcome in this database of 720 neck pain patients receiving chiropractic treatment.

The 5-year course of neck pain among natural disaster survivors: The association of prior neck pain with new episodes of neck pain

OBJECTIVE

Neck pain is a common health problem among both the general population and natural disaster survivors. However, the long-term course of neck pain has rarely been reported. The aim of this study was to elucidate the 5-year course of neck pain among survivors of the Great East Japan Earthquake (GEJE) by assessing the association of neck pain 2 and 4 years after the disaster with that at 7 years.

STUDY DESIGN

Longitudinal study.

METHODS

A panel study was conducted on GEJE survivors (n = 1,821) using a self-reported questionnaire at 2 (first time point), 4 (second time point), and 7 years (third time point) after the disaster. Multivariate logistic regression analyses were performed to assess the association between prior neck pain and subsequent neck pain.

RESULTS

The rates of neck pain at the first, second, and third time points were 20.7%, 21.1%, and 20.1%, respectively. Neck pain at the first time point was significantly associated with neck pain at the third time point (adjusted odds ratio [95% confidence interval]: 5.96 [4.53-7.83]). Furthermore, neck pain at the first and second time points was significantly associated with neck pain at the third time point (adjusted odds ratio [95% confidence interval]: 5.71 [4.19-7.78] for neck pain at either time point; 15.94 [10.99-23.12] for neck pain at both time points; p for trend < 0.001).

CONCLUSIONS

Prior neck pain was significantly associated with neck pain 5 years later, and the effect was stronger with increase of prior neck pain episodes. Clinicians should base their selection of treatment method on an individual's history of neck pain.

Prognostic factors for the improvement of pain and disability following multidisciplinary rehabilitation in patients with chronic neck pain

Background

Recent clinical studies have demonstrated the effectiveness of specific, multidisciplinary, bio-psychosocial, rehabilitation programmes for chronic neck pain. However, prognostic factors for the improvement of pain and disability are mostly unknown. Therefore, the aim of this study was to explore prognostic factors associated with improvements in chronic neck pain following participation in a three-week, multidisciplinary, bio-psychosocial, rehabilitation programme.

Methods

In this observational, prospective cohort study, a total of 112 patients were assessed at the beginning, end, and 6 months following the completion of a multidisciplinary, bio-psychosocial, rehabilitation programme. Inclusion for participation in the rehabilitation programme depended upon an interdisciplinary pain assessment. The primary outcome was neck pain and disability, which was measured using the Northern American Spine Society questionnaire for pain+disability and was quantified with effect sizes (ES). Multivariable linear regression analyses were used to explore potential prognostic factors associated with improvements in pain and disability scores at discharge and at the 6-month follow-up period.

Results

The mean age of the patients was 59.7 years (standard deviation = 10.8), and 70.5% were female. Patients showed improvement in pain+disability at discharge (ES = 0.56; p < 0.001), which was sustained at the 6-month follow-up (ES = 0.56; p < 0.001). Prognostic factors associated with improvement in pain+disability scores at discharge included poor pain+disability baseline scores (partial, adjusted correlation r = 0.414, p < 0.001), older age (r = 0.223, p = 0.024), a good baseline cervical active range-of-motion (ROM) (r = 0.210, p < 0.033), and improvements in the Short-form 36 mental health scale (r = 0.197; p = 0.047) and cervical ROMs (r = 0.195, p = 0.048) from baseline values. Prognostic factors associated with improvements in pain+disability at the 6-month follow-up were similar and included poor pain+disability baseline scores (partial, adjusted correlation r = 0.364, p < 0.001), improvements in the Short-form 36 mental health scale (r = 0.232; p = 0.002), cervical ROMs (r = 0.247, p = 0.011), and better cervical ROM baseline scores. However, older age was not a factor (r = 0.134, p = 0.172).

Conclusions

Future prognostic models for treatment outcomes in chronic neck pain patients should consider cervical ROM and mental health status. Knowledge of prognostic factors may help in the adoption of individualized treatment for patients who are less likely to respond to multidisciplinary rehabilitation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12891-021-04194-9.

Challenges and solutions in prognostic prediction models in spinal disorders

Methodological shortcomings in prognostic modeling for patients with spinal disorders are highly common. This general commentary discusses methodological challenges related to the specific nature of this field. Five specific methodological challenges in prognostic modeling for patients with spinal disorders are presented with their potential solutions, as related to the choice of study participants, purpose of studies, limitations in measurements of outcomes and predictors, complexity of recovery predictions, and confusion of prognosis and treatment response. Large studies specifically designed for prognostic model research are needed, using standard baseline measurement sets, clearly describing participants' recruitment and accounting and correcting for measurement limitations.