Associations among acute and chronic musculoskeletal pain, sleep duration, and C-reactive protein (CRP): A cross-sectional study of the UK biobank dataset

Relationships between orofacial pain and sleep: Analysis of UK biobank and genome-wide association studies data

Background/purpose

Orofacial pain is common in dental practices. This study aimed to explore relationships between orofacial pain and sleep using the UK Biobank dataset and, based on epidemiological associations, to investigate the causal association using genome-wide association studies data.

Materials and methods

First, a cross-sectional study was conducted with 196,490 participants from UK Biobank. Information on pain conditions and sleep traits was collected. Multivariable models were used to explore the relationships with odds ratio (OR). Second, Mendelian randomization analyses were conducted using data for orofacial pain, including temporomandibular joint disorders-related pain (n = 377,277) and atypical facial pain (n = 331,749), and sleep traits, including sleep duration (n = 446,118), short sleep (n = 411,934), long sleep (n = 339,926), snoring (n = 359,916), ease of getting up (n = 385,949), insomnia (n = 453,379), daytime dozing (n = 452,071), daytime napping (n = 452,633), and chronotype (n = 403,195).

Results

The cross-sectional study confirmed the bidirectionality between pain and sleep. Participants experiencing pain all over the body showed a significant association with an unhealthy sleep pattern (OR = 1.18, P < 0.001) and other sleep traits (P < 0.05). Risks of chronic orofacial pain were associated with sleep duration in a non-linear relationship (P = 0.032). The Mendelian randomization analyses indicated that long sleep was causally associated with temporomandibular joint disorders-related pain (OR = 6.77, P = 0.006).

Conclusion

The relationship between pain and sleep is bidirectional. Long sleep is found to be causally associated with chronic orofacial pain.

The sex-dependent impact of adipose tissue and inflammation on chronic pain - A cross-sectional study from the all of us research program

Emerging evidence suggests an association between chronic pain and elevated body fat. We sought to determine if individuals with higher body fat, measured by hip circumference (HC) and waist circumference (WC), are at risk for chronic pain when they demonstrate higher expression of inflammatory markers. We investigated the incidence and severity of pain in patients with varying WC/HC and inflammatory markers (C-Reactive Protein, IL-6, leptin) using the NIH-sponsored All of Us Database. For each inflammatory marker and sex, participants were divided into four groups based on combinations of normal/high marker levels and small/large WC/HC. We used statistical analysis to compare WC/HC and pain severity (mean NRS pain score) between groups of the same sex. In females, but not males, combinations of elevated CRP with large WC/HC exerted additive effects on the incidence of chronic pain (p < 0.01) and severe pain (p < 0.001), as well as on the severity of pain evaluated by the mean NRS pain score (p < 0.01). This relationship held true for females with high IL-6 or leptin and large WC or HC (p < 0.001 for chronic pain and severe pain incidence, and p < 0.05 for pain severity). Neither IL-6 nor leptin showed any significant impact on pain in males. Obesity status and CRP exert additive prognostic effects for chronic pain in females, but not in males. The concomitant evaluation of other inflammatory factors, such as IL-6 or leptin in females, may further augment the prediction of chronic pain. PERSPECTIVE: This article investigates the relationship between chronic pain, obesity, and inflammatory markers. It could help elucidating sex difference in pain mechanisms, as well as the risk factors for chronic pain, potentially improving patient diagnosis, follow-up and treatment.

Evaluation of sleep health documentation and sleep-related intervention by physiatrists treating musculoskeletal disorders: A retrospective investigation

BACKGROUND

Sleep health is linked to pain, function, and global health. Unfortunately, sleep health may not be consistently addressed as a part of musculoskeletal care.

OBJECTIVE

To describe the frequency of sleep health documentation and intervention by musculoskeletal physiatrists. Additionally, patient-reported outcome measures were compared between patients with and without sleep impairment. We hypothesized that sleep health is documented and addressed in less than half of initial patient encounters and that patients with a sleep impairment have worse patient-reported outcomes scores compared to those without sleep impairment.

DESIGN

Retrospective study.

SETTING

Tertiary orthopedic hospital.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Frequency of provider documentation of sleep health, frequency and characteristics of sleep health intervention provided, and Patient-Reported Outcome Measurement Information System (PROMIS)-10 mental health and physical health scores.

RESULTS

Initial visits for a musculoskeletal condition of 39,452 patients from January 1, 2020 to October 1, 2022 were included. Documentation of sleep health was found in 33.0% (13,002/39,452) of patients. Of those with sleep health documentation, 59.2% (7697/13,002) were classified as having a sleep impairment. Only 19.0% of patients were provided with sleep-related education or other intervention. Patients with a sleep impairment had worse PROMIS-10 mental health and physical health scores (p < .001), as compared to those without a sleep impairment.

CONCLUSIONS

Patients with sleep impairment had worse mental and physical health scores than those without sleep impairment, and only 19.0% received sleep health intervention. These data suggest that sleep impairment is common in patients presenting for evaluation of a musculoskeletal condition, and advanced provider education and tools to help patients improve their sleep health are needed.

The association between inflammatory biomarkers and low back disorder: a systematic review and meta-analysis

INTRODUCTION

Low back disorder (LBD) is a major cause of disability worldwide. Inflammation results in proliferation of cytokines or consequent degradation products (collectively known as inflammatory biomarkers) that activate pain pathways which can result in non-specific LBD. This systematic review and meta-analysis aim to evaluate the relationship between inflammatory biomarkers and clinical outcomes in patients with LBD.

METHODS

The PRISMA guideline was followed for the systematic reivew. Three online databases were searched. Four RCTs and sixteen observational studies with 1142 LBD patients were analysed. The primary outcomes were back and leg pain scores, back-specific disability scores and expression of inflammatory biomarkers. Standardized mean difference (SMD) and their 95% confidence intervals (CI) were evaluated. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was used to summarize the strength of evidence.

RESULTS

Four RCTs and sixteen observational studies were included in the analysis of 1142 patients with LBD. There was a statistically significant reduction in back pain score and IL-1 beta and increase in the expression of CTX-1 and IL-10 levels post treatment. There was a significant relationship between increase in the expression of MCP- and reduction in the expression of hsCRP with increase in back pain. Significant relationship was also observed between increase in the expression of MCP-1 and reduction in the expression of IL-6 with increase in leg pain. Increase in the expression of IL-8 and reduction in the expression of hsCRP was also associated with increased disability score.

CONCLUSION

Inflammatory biomarkers play a significant role in the pathogenesis of LBD. CTX-1, IL-10 and IL-1 beta may be responsible for the decrease in back pain scores post treatment. There is a relationship between MCP-1, IL-6, IL-8 and hsCRP with clinical and functional assessments for LBD. Further studies will improve understanding of the pathogenesis of LBD and aid in targeted management strategies.

Is nociplastic pain, a new pain category, associated with biochemical, hematological, and inflammatory parameters?

OBJECTIVE

The aim of the study was to evaluate the relationship between biochemical, hematological, and inflammatory parameters and pain in patients with nociplastic pain.

METHODS

In this cross-sectional study, a total of 8632 patients, aged between 20 and 65, were evaluated according to the nociplastic pain diagnosis criteria determined by IASP. Excluding individuals who did not meet the criteria for nociplastic pain, the study included a total of 660 participants. The biochemical, hematological, and inflammatory parameters of all individuals were examined. The pain levels of the patients were assessed using the Visual Analogue Scale (VAS). The patients were categorized based on nociplastic pain types and pain regions for evaluation.

RESULTS

In this study, the female gender was more prevalent both in all nociplastic pain categories and in all pain region groups (p < 0.05). In the nociplastic pain categories, it was observed that vitamin D levels were lower in patients with chronic widespread pain, while ferritin and C-reactive protein levels were higher in patients with chronic primary musculoskeletal pain. Among patients with chronic widespread pain with low hemoglobin and/or ferritin levels, the Visual Analog Scale activity score was higher. For patients with chronic widespread pain and low vitamin D levels and/or high erythrocyte sedimentation rate levels, the Visual Analog Scale rest score was higher. In patients with fibromyalgia and high parathyroid hormone levels, the Visual Analog Scale activity score was higher. For patients with fibromyalgia and high Neutrophil/Lymphocyte ratio levels, the Visual Analog Scale rest score was higher. In patients with chronic primary musculoskeletal pain and high erythrocyte sedimentation rate and/or C-reactive protein levels, the Visual Analog Scale activity score was higher. While vitamin B12 levels were found to be lower in patients with widespread pain, no significant relationship was identified between electrolytes, other blood count results, and nociplastic pain.

CONCLUSION

In our study, it was observed that levels of vitamin D in individuals with nociplastic pain were low, while erythrocyte sedimentation rate, C-reactive protein, and Neutrophil/Lymphocyte ratio were high, and hemoglobin and ferritin levels were elevated. Furthermore, these findings were found to be associated with both the presence of pain and the severity of pain assessed using the visual analog scale.

Association of persistent musculoskeletal pain with dementia risk score in adults aged 45 years or older: The China health and retirement longitudinal study

BACKGROUND

Recent studies have confirmed an association between pain and dementia. Whether musculoskeletal pain in the spine, upper limbs, and lower limbs is associated with dementia risk remains unclear. The longitudinal effect of musculoskeletal pain on dementia risk also remains unclear.

AIMS

This work aimed to investigate the association between musculoskeletal pain and dementia risk score.

METHODS

We conducted cross-sectional and longitudinal analyses using data from the China Health and Retirement Longitudinal Study. Participants aged 45 years or older were recruited in 2011. A total of 10,759 participants with complete pain information at baseline were eligible for the cross-sectional analysis, and 5,855 were eligible for the longitudinal analyses. We utilized the Rotterdam Study Basic Dementia Risk Model (BDRM) to assess dementia risk. Generalized estimating equations were used to investigate the associations.

RESULTS

Compared with participants without persistent musculoskeletal pain, those with persistent musculoskeletal pain (standardized, β = 0.83; 95 % CI: 0.06, 1.61, p = 0.036), multisite pain (sites≧5; β = 1.52; 95 % CI: 0.13, 2.91, p = 0.032), neck pain (β = 2.33; 95 % CI: 0.41, 4.25, p = 0.018), back pain (β = 2.12; 95 % CI: 0.43, 3.82, p = 0.014), waist pain (β = 1.09; 95 % CI: 0.07, 2.11, p = 0.037), shoulder pain (β = 1.74; 95 % CI: 0.46, 3.02, p = 0.008), wrist pain (β = 2.72; 95 % CI: 0.42, 5.02, p = 0.021), and knee pain (β = 1.91; 95 % CI: 0.70, 3.13, p = 0.002) had a higher BDRM score during 4 years of follow-up.

CONCLUSIONS

Promoting the management of musculoskeletal pain may be beneficial in reducing the dementia risk score.

Development and Validation of a Predictive Model for Chronic Postsurgical Pain After Arthroscopic Rotator Cuff Repair: A Prospective Cohort Study

Purpose

Chronic pain management continues to present a significant challenge following arthroscopic shoulder surgery. Our purpose was to detect chronic postsurgical pain (CPSP) in patients who had undergone arthroscopic rotator cuff repair (ARCR) and develop a nomogram capable of predicting the associated risk.

Patients and Methods

We collected the demographic and clinical data of 240 patients undergoing ARCR in our hospital from January 2021 to May 2022. The pain level was monitored and evaluated three months after ARCR. LASSO regression was used to screen out pain-predicting factors, which were subsequently used to construct a nomogram. Internal validation was carried out using Bootstrap resampling. The data of 78 patients who underwent ARCR in our hospital from August 2022 to December 2022 were also collected for external verification of the nomogram. The predictive model was evaluated using the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).

Results

Age, duration of preoperative shoulder pain (DPSP), C-reactive protein (CRP), number of tear tendons, and American Shoulder and Elbow Surgical Score (ASES) were screened by LASSO regression as predictive factors for CPSP. These factors were then used to construct a chronic pain risk nomogram. The area under the curve (AUC) of the predictive and validation models were 0.756 (95% CI: 0.6386-0.8731) and 0.806 (95% CI: 0.6825-0.9291), respectively. Furthermore, the calibration curves and decision curve analysis (DCA) for both models indicated strong performance, affirming the reliability of this predictive model.

Conclusion

The CPSP risk model that has been developed exhibits strong predictive capabilities and practical utility. It offers valuable support to clinical healthcare professionals in making informed treatment decisions, reducing the unnecessary use of analgesic drugs, and optimizing the allocation of medical resources.