Trajectories of Opioid Misuse and Opioid Use Disorder Among Adults With Chronic Pain and HIV: An Observational Study.

OBJECTIVES: In a longitudinal cohort of patients with HIV and chronic pain, we sought to (1) identify trajectories of opioid misuse and opioid use disorder (OUD) symptoms, and to (2) determine whether prescription opioid dose was associated with symptom trajectories. METHODS: We leveraged an existing 12-month longitudinal observational study, Project PIMENTO, of persons living with HIV and chronic pain who received care at a hospital system in the Bronx, New York. A quota sampling strategy was used to ensure variability of prescribed opioid use in the recruited sample. Research interviews occurred quarterly and assessed opioid behaviors and criteria for OUD. To describe symptom trajectories, we conducted 2 separate longitudinal latent class analyses to group participants into (1) opioid misuse and (2) OUD trajectories. Finally, we used multinomial logistic regression models to examine the relationship between baseline prescription opioid dose and symptom trajectories. RESULTS: Of 148 total participants, at baseline 63 (42.6%) had an active opioid prescription, 69 (46.6%) met the criteria for current opioid misuse, and 44 (29.7%) met the criteria for current OUD. We found 3 opioid misuse and 3 OUD symptom trajectories, none of which showed worsened symptoms over time. In addition, we found that higher prescription opioid dose at baseline was associated with a greater OUD symptom trajectory. CONCLUSIONS: Opioid misuse and OUD were common but stable or decreasing over time. Although these results are reassuring, our findings also support prior studies that high-dose opioid therapy is associated with greater OUD symptoms.

Inflammatory biomarkers and motoric cognitive risk syndrome: Multicohort survey.

Background: Inflammation may play a role in Motoric Cognitive Risk (MCR) syndrome, a pre-dementia syndrome comprised of slow gait and cognitive complaints. Our objective was to examine associations of inflammatory biomarkers with MCR. Methods: We examined association of interleukin-6 (IL-6) and C-reactive protein (CRP) with prevalent MCR using logistic regression in 3,101 older adults (52% female) from five cohorts (National Center for Geriatrics & Gerontology Study of Geriatric Syndromes [NCGG-SGS], Central Control of Mobility in Aging [CCMA], Tasmanian Study of Cognition and Gait [TASCOG], LonGenity, and Einstein Aging Study [EAS]). Associations were reported as odds ratios adjusted for sex, age, education, depressive symptoms, body mass index, and vascular diseases (aOR) with 95% confidence intervals (CI). Meta-analysis and analyses stratified by vascular disease were also done. Results: Although associations between higher (worse) CRP and IL-6 tertiles and MCR were only seen in three out of the five cohorts (EAS, TASCOG, and LonGenity), when a pooled meta-analysis was performed, a robust association was demonstrated. In meta-analysis, highest tertiles of IL-6 (aOR 1.57, 95%CI 1.01- 2.44) and CRP (aOR 1.65, 95%CI 1.09-2.48) was associated with MCR versus lowest tertiles in the pooled sample. Higher CRP was associated with MCR among those with vascular disease in TASCOG and LonGenity cohorts, and among those without vascular disease in EAS. Conclusions: IL-6 and CRP levels are associated with MCR in older adults, and this association varies by presence of vascular disease.

Evacuating damaged and destroyed buildings on 9/11: behavioral and structural barriers.

INTRODUCTION: Evacuation of the World Trade Center (WTC) twin towers and surrounding buildings damaged in the September 11, 2001 attacks provides a unique opportunity to study factors that affect emergency evacuation of high rise buildings. Problem The goal of this study is to understand the extent to which structural and behavioral barriers and limitations of personal mobility affected evacuation by occupants of affected buildings on September 11, 2001. METHODS: This analysis included 5,023 civilian, adult enrollees within the World Trade Center Health Registry who evacuated the two World Trade Center towers and over 30 other Lower Manhattan buildings that were damaged or destroyed on September 11, 2001. Multinomial logistic regression was used to predict total evacuation time (<30 to ≤60 minutes, >1 hour to <2 hours relative to ≤30 minutes) in relation to number of infrastructure barriers and number of behavioral barriers, adjusted for demographic and other factors. RESULTS: A higher percentage of evacuees reported encountering at least one behavioral barrier (84.9%) than reported at least one infrastructure barrier (51.9%). This pattern was consistent in all buildings except WTC 1, the first building attacked, where >90% of evacuees reported encountering both types of barriers. Smoke and poor lighting were the most frequently-reported structural barriers. Extreme crowding, lack of communication with officials, and being surrounded by panicked crowds were the most frequently-reported behavioral barriers. Multivariate analyses showed evacuation time to be independently associated with the number of each type of barrier as well as gender (longer times for women), but not with the floor from which evacuation began. After adjustment, personal mobility impairment was not associated with increased evacuation time. CONCLUSION: Because most high-rise buildings have unique designs, infrastructure factors tend to be less predictable than behavioral factors, but both need to be considered in developing emergency evacuation plans in order to decrease evacuation time and, consequently, risk of injury and death during an emergency evacuation.