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Despite its association with severe health conditions, the aetiology of sleep apnoea remains understudied. This study sought to identify genetic variants robustly associated with sleep apnoea risk.

The Biospecimen Collection and Processing Working Group of the NIH HEAL Initiative BACPAC Research Program was charged with identifying molecular biomarkers of interest to chronic low back pain (cLBP). Having identified biomarkers of interest, the Working Group worked with the New York University Grossman School of Medicine, Center for Biospecimen Research and Development-funded by the Early Phase Pain Investigation Clinical Network Data Coordinating Center-to harmonize consortium-wide and site-specific efforts for biospecimen collection and analysis. Biospecimen collected are saliva, blood (whole, plasma, serum), urine, stool, and spine tissue (paraspinal muscle, ligamentum flavum, vertebral bone, facet cartilage, disc endplate, annulus fibrosus, or nucleus pulposus). The omics data acquisition and analyses derived from the biospecimen include genomics and epigenetics from DNA, proteomics from protein, transcriptomics from RNA, and microbiomics from 16S rRNA. These analyses contribute to the overarching goal of BACPAC to phenotype cLBP and will guide future efforts for precision medicine treatment.

Readily accessible nonpharmacological interventions that can assist in opioid dose reduction while managing pain is a priority for adults receiving long-term opioid therapy (LOT). Few large-scale evaluations of online pain self-management programs exist that capture effects on reducing morphine equivalent dose (MED) simultaneously with pain outcomes. An open-label, intent-to-treat, randomized clinical trial recruited adults (n = 402) with mixed chronic pain conditions from primary care and pain clinics of 2 U.S. academic healthcare systems. All participants received LOT-prescriber-provided treatment of MED ≥ 20 mg while receiving either E-health (a 4-month subscription to the online Goalistics Chronic Pain Management Program), or treatment as usual (TAU). Among 402 participants (279 women [69.4%]; mean [SD] age, 56.7 [11.0] years), 200 were randomized to E-health and 202 to TAU. Of 196 E-heath participants, 105 (53.6%) achieved a ≥15% reduction in daily MED compared with 85 (42.3%) of 201 TAU participants (odds ratio, 1.6 [95% CI, 1.1-2.3]; P = 0.02); number-needed-to-treat was 8.9 (95% CI, 4.8, 66.0). Of 166 E-health participants, 24 (14.5%) achieved a ≥2 point decrease in pain intensity vs 13 (6.8%) of 192 TAU participants (odds ratio, 2.4 [95% CI, 1.2-4.9]; P = 0.02). Benefits were also observed in pain knowledge, pain self-efficacy, and pain coping. The findings suggest that for adults on LOT for chronic pain, use of E-health, compared with TAU, significantly increased participants' likelihood of clinically meaningful decreases in MED and pain. This low-burden online intervention could assist adults on LOT in reducing daily opioid use while self-managing pain symptom burdens.

To assess the differential item functioning (DIF) of the Jaw Functional Limitation Scale (JFLS) due to gender, age, and language (English vs Spanish).

Cannabis has been proposed as a therapeutic with potential opioid-sparing properties in chronic pain, and its use could theoretically be associated with decreased amounts of opioids used and decreased risk of mortality among individuals prescribed opioids.

We sought to explore the relationship between body mass index (BMI) and neurologic outcomes following acute COVID-19 infection. We conducted a retrospective electronic medical record-based cohort study enrolling adults with laboratory-confirmed acute COVID-19 infection who presented to 1 of 12 academic and community hospitals in Southwestern Ontario, Canada between April 1, 2020 and July 31, 2021. Primary subjective (anosmia, dysgeusia, and/or headache) and objective (aseptic meningitis, ataxia, delirium, encephalopathy, encephalitis, intracranial hemorrhage, ischemic stroke, and/or seizure) composite neurologic outcomes were assessed, comparing obese and overweight individuals to those with underweight/normal BMI indices, adjusting for baseline characteristics. Secondary outcomes (severity of illness, length of hospital stay, SARS-CoV-2 viral load, mortality) were similarly analyzed. A total of 1437 enrolled individuals, of whom 307 (21%), 456 (32%), and 674 (47%) were underweight/normal, overweight, and obese, respectively. On multivariable analysis, there was no association between BMI category and the composite outcome for subjective (odds ratio [OR] 1.17, 95% CI 0.84-1.64, Bonferroni p = 1.00 for obese; OR 1.02, 95% CI 0.70-1.48; Bonferroni p = 1.00 for overweight) and objective (OR 0.74, 95% CI 0.42-1.30, p = 0.29 for obese; OR = 0.80, 95% CI 0.45-1.43, p = 0.45 for overweight) neurologic manifestations. There was no association between BMI category and any secondary outcome measure and no evidence of effect modification by age or sex. This study demonstrates the absence of an association between BMI and neurologic manifestations following acute COVID-19 illness. Prospective studies using standardized data collection tools and direct measures of body fat are warranted to obtain more valid effect estimates.

Chronic, noninflammatory musculoskeletal pain is common in the aged population and management can be challenging for older people due to multimorbidity, social isolation, and physical frailty. The aim of this scoping review is to summarize and discuss the evidence related to home-based health care interventions for older adults, with chronic, musculoskeletal pain.

Patients with chronic pain show large placebo effects in clinical trials, and inert pills can lead to clinically meaningful analgesia that can last from days to weeks. Whether the placebo response can be predicted reliably, and how to best predict it, is still unknown. We have shown previously that placebo responders can be identified through the language content of patients because they speak about their life, and their pain, after a placebo treatment. In this study, we examine whether these language properties are present before placebo treatment and are thus predictive of placebo response and whether a placebo prediction model can also dissociate between placebo and drug responders. We report the fine-tuning of a language model built based on a longitudinal treatment study where patients with chronic back pain received a placebo (study 1) and its validation on an independent study where patients received a placebo or drug (study 2). A model built on language features from an exit interview from study 1 was able to predict, a priori, the placebo response of patients in study 2 (area under the curve = 0.71). Furthermore, the model predicted as placebo responders exhibited an average of 30% pain relief from an inert pill, compared with 3% for those predicted as nonresponders. The model was not able to predict who responded to naproxen nor spontaneous recovery in a no-treatment arm, suggesting specificity of the prediction to placebo. Taken together, our initial findings suggest that placebo response is predictable using ecological and quick measures such as language use.

Joint pain and swelling are common symptoms of osteoarthritis. The fluid collects mainly in the suprapatellar bursa. Persisting excess synovial fluid accelerates the degeneration of joint tissues and contributes to limited mobility.