Search

Objective Frailty and objective hand grip strength (one of the components of the frailty phenotype) are both risk factors for worse health outcomes in SLE. Whether telomere length, an established cellular senescence marker, is a biologic correlate of the frailty phenotype and hand grip strength in patients with SLE is not clear. First, we aimed to evaluate differences in telomere length between frail and non-frail women with SLE and then assessed whether frailty or hand grip strength is differentially associated with telomere length after adjusting for relevant confounders.Methods Women ≥18 years of age with validated SLE enrolled at a single medical centre. Fried frailty status (which includes hand grip strength), clinical characteristics and telomere length were assessed cross-sectionally. Differences between frail and non-frail participants were evaluated using Fisher’s exact or Wilcoxon rank-sum tests. The associations between frailty and hand grip strength and telomere length were determined using linear regression.Results Of the 150 enrolled participants, 131 had sufficient data for determination of frailty classification; 26% were frail with a median age of 45 years. There was a non-significant trend towards shorter telomere length in frail versus non-frail participants (p=0.07). Hand grip strength was significantly associated with telomere length (beta coefficient 0.02, 95% CI 0.004, 0.04), including after adjustment for age, SLE disease activity and organ damage, and comorbidity (beta coefficient 0.02, 95% CI 0.002, 0.04).Conclusions Decreased hand grip strength, but not frailty, was independently associated with shortened telomere length in a cohort of non-elderly women with SLE. Frailty in this middle-aged cohort may be multifactorial rather than strictly a manifestation of accelerated ageing.

This letter comments on the letter by Tan et al.

Older persons living with HIV (PLWH), often defined as age 50 years and older, are a rapidly growing population, with high rates of chronic pain, substance use, and decreased physical functioning. No interventions currently exist that address all three of these health outcomes simultaneously. An 8-week behavioral intervention combining cognitive-behavioral therapy and tai chi reinforced with text messaging (CBT/TC/TXT) was developed and pilot tested in a community-based AIDS service organization with substance using PLWH aged 50 years and older who experienced chronic pain. Fifty-five participants were enrolled in a three arm randomized controlled trial that compared the CBT/TC/TXT intervention (N = 18) to routine Support Group (SG) (N = 19) and Assessment Only (AO) (N = 18) to assess the intervention's feasibility, acceptability and preliminary efficacy to reduce pain and substance use and improve physical performance. Participants were assessed at baseline, treatment-end (week 8) and week 12. Feasibility and acceptability indicators showed moderate levels of participant enrollment (62% of those eligible), excellent 12-week assessment completion (84%) and high attendance at CBT and tai chi sessions (>60% attended at least 6 of 8 sessions). Efficacy indicators showed within-group improvements from baseline to week 12 in the CBT/TC/TXT group, including all four substance use outcomes, percent pain relief in the past 24 h, and in two physical performance measures. Observed between-group changes included greater reductions in days of heavy drinking in the past 30 days for both CBT/TC/TXT (19%) and SG (13%) compared to the AO group. Percent pain relief in the past 24 h improved in the CBT/TC/TXT group relative to SG, and the CBT/TC/TXT's physical performance score improved relative to both the SG and AO groups. Findings demonstrate that the CBT/TC/TXT intervention is feasible to implement, acceptable and has preliminary efficacy for reducing substance use and pain and improving physical performance among a vulnerable population of older PLWH.

Introduction: Few studies have examined the association of loneliness and cognitive functioning in the US. We used two common measures of loneliness and examined their association in a large sample of US Black, Latino, and White adults (ages = 50). Methods: We analyzed Wave 3 of the National Social Life, Health, and Aging Project (N = 2,757). We examined loneliness using one item from the CES-D and the Felt Loneliness Measure (NFLM); cognitive functioning was assessed using the Montreal Cognitive Assessment (MoCA) tool, where higher scores indicated better functioning. We used weighted ordinary least squares regressions to examine the effects of loneliness (CES-D loneliness and NFLM in separate models) on MoCA scores. In exploratory analyses, we examined if these relationships varied by race and ethnicity. We adjusted all models for sociodemographic and other salient factors (e.g., chronic disease, depressive symptoms, living alone). Results: Mean age was 63.49 years, 52% were female, and 9% were Black and 6% Latino persons. Approximately 54% endorsed feeling lonely on at least one measure; 31% (CES-D) and 46% (NFLM). The relationship between loneliness measures was positive and significant, X2 (1, N = 2,757) = 435.493 p < 0.001. However, only 40% of lonely individuals were identified as lonely on both assessments. CES-D loneliness was inversely (β& = -0.274, p = 0.032) associated with MoCA scores and this association did not vary by race and ethnicity. Greater NFLM loneliness was positively associated (β^ = 0.445, p < 0.001) with higher MoCA scores for Latino participants only. Discussion: Loneliness appears to be an important predictor of cognitive functioning. However, the association of loneliness and cognitive functioning varied when using the CES-D loneliness item or the NFLM. Future work is needed to understand how loneliness and its clinically relevant dimensions (social, emotional, existential, chronicity) relate to global and individual cognitive domains. Research is needed with racially and ethnically diverse midlife and older adults, particularly to understand our counterintuitive finding for Latino participants. Finally, findings also support the need for research on interventions to prevent cognitive decline targeting loneliness. [ABSTRACT FROM AUTHOR]

Background and Objectives: Scholarship on the health of family caregivers to older adults continues to expand. Although existing research suggests that many family caregivers experience pain, which impacts their ability to perform caregiving tasks and is associated with care recipients' unmet needs, the scope of research on family caregivers' pain remains poorly characterized. We conducted a scoping review of research on pain among family caregivers to older adults to characterize existing evidence and identify knowledge gaps. Methods: We searched multiple databases spanning from January 2012 to July 2023, identified eligible studies using predefined inclusion/exclusion criteria, and extracted key data (e.g., study design/methodology, pain measurement, caregiver pain type, and major findings). Results: We identified 46 eligible studies conducted in the United States (n = 19) and internationally (n = 27). Studies often focused on caregivers for older adults with specific health conditions, such as cancer (n = 11), dementia (n = 8), or stroke (n = 3). The most commonly employed pain measure was a single‐item dichotomous question about pain (n = 16), followed by a visual numeric or visual analog scale (n = 11). Nine studies (five randomized controlled trials) reported on five caregiver pain management interventions, including yoga/exercise programs and caregiver education programs. Discussion: Existing research on family caregivers' pain offers an important foundation. However, more robust research designs are necessary. We identify possibilities for future studies in addition to opportunities for systematic investigations to support the family caregivers being relied upon to care for the increasing number of older adults. [ABSTRACT FROM AUTHOR]

IntroductionThe rapid growth of mobile health (mHealth) devices holds substantial potential for improving care and care outcomes in aging adults with chronic non-cancer pain (CNCP), however, research evaluating these devices in older adults remains limited.ObjectiveTo ascertain the feasibility and preliminary efficacy of an mHealth intervention (Mymee) that combines symptom, diet, and behavior tracking via a smartphone application with data analytics to detect associations between symptoms and lifestyle factors along with weekly health coaching sessions to mitigate CNCP in adults 55 years of age and older.MethodsParticipants (N = 31) in this pilot study were recruited from one primary care practice in New York City and randomized to an intervention [app + up to 12 health coaching sessions (scheduled approximately once weekly) + usual care] or a control (app + usual care) arm. Feasibility measures included recruitment (proportion of eligible persons who enrolled) and retention rates (proportion of subjects completing a follow-up assessment) as well as adherence with the weekly coaching sessions and logging daily data on the app. Efficacy outcomes (e.g., pain intensity, self-efficacy, disability, anxiety) were assessed at baseline and follow-up (~16 weeks after baseline). Descriptive statistics were obtained and general linear mixed models used for primary analyses.ResultsParticipants had a mean (standard deviation) age of 67.32 (9.17) and were mostly female (61%). Feasibility outcomes were mixed as evidenced by recruitment and retention rates of 74% and 65%, respectively. The mean number of weekly coaching sessions attended by intervention participants was 6.05 (SD = 5.35), while the average number of days logging data on the app was 44.82 (34.02). We found a consistent trend in favor of the intervention, where pain intensity, affect, and quality of life measures improved considerably more among intervention (vs. control) participants. Finally, the proportion of participants with GAD-7 scores at follow up decreased by 0.35 to 0, whereas controls did not change, a significant effect in favor of the intervention (p = 0.02).ConclusionsThis study supports the need for future research that seeks to enhance feasibility outcomes and confirm the efficacy of the Mymee intervention among aging adults with CNCP.

Abstract Background Pain is common among individuals with Alzheimer’s disease and related dementias (ADRD), and use of opioids has been increasing over the last decade. Yet, it is unclear to what extent opioids are appropriately prescribed for patients with ADRD and whether the appropriateness of opioid prescribing differs by ADRD status. The objective of this study is to compare the quality of opioid prescribing among patients with or without ADRD who have chronic noncancer pain. Methods A nationally representative cohort study of Medicare beneficiaries aged 50 years or older who had chronic pain but who had no cancer, hospice, or palliative care from 2011 to 2015. Four indicators of potentially inappropriate opioid prescribing were measured in patients residing in communities (75,258 patients with and 435,870 patients without ADRD); five indicators were assessed in patients in nursing homes (NHs) (37,117 patients with and 5128 patients without ADRD). Each indicator was calculated as the proportion of eligible patients with inappropriate opioid prescribing in the year after a chronic pain diagnosis. Differences in proportions between ADRD and non-ADRD groups were estimated using a generalized linear model adjusting for covariates through inverse probability weighting. Results Patients with ADRD versus those without had higher concurrent use of opioids and central nervous system–active drugs (community 44.1% vs 33.3%; NH 58.8% vs 54.1%, both P

Among older adults, depression is a common, morbid, and costly disorder. Older adults with depression are overwhelmingly treated by primary care providers with poor rates of remission and treatment response, despite attempts to improve care delivery through behavioral health integration and care management models. Given one in 10 older adults in primary care settings meet criteria for depression, there is a pressing need to improve the efficacy of depression treatment among affected individuals. Measurement-based care (i.e., the incorporation of systematic measurement of patient outcomes into treatment) for depressed older adults in primary care has had poor uptake, which at least partly underlies the limited efficacy of depression treatments. In this perspective, we discuss the proposal that ecological momentary assessment (EMA) may increase uptake of measurement-based care for depression in primary care, enhance the quality of clinical depression data, and lead to improvements in treatment efficacy without adding to providers' burden. We describe key issues related to EMA implementation and application in routine settings for depressed older adults, along with potential pitfalls and future research directions. [ABSTRACT FROM AUTHOR]

T cell responses are known to be essential in the immune response to Ebola virus infection, and the viral glycoprotein is a major antigenic target. Here the authors provide fine detail mapping of T cell antigens and their characterisation in Ebola virus survivor patients.

Abstract Background In classification and diagnostic testing, the receiver-operator characteristic (ROC) plot and the area under the ROC curve (AUC) describe how an adjustable threshold causes changes in two types of error: false positives and false negatives. Only part of the ROC curve and AUC are informative however when they are used with imbalanced data. Hence, alternatives to the AUC have been proposed, such as the partial AUC and the area under the precision-recall curve. However, these alternatives cannot be as fully interpreted as the AUC, in part because they ignore some information about actual negatives. Methods We derive and propose a new concordant partial AUC and a new partial c statistic for ROC data—as foundational measures and methods to help understand and explain parts of the ROC plot and AUC. Our partial measures are continuous and discrete versions of the same measure, are derived from the AUC and c statistic respectively, are validated as equal to each other, and validated as equal in summation to whole measures where expected. Our partial measures are tested for validity on a classic ROC example from Fawcett, a variation thereof, and two real-life benchmark data sets in breast cancer: the Wisconsin and Ljubljana data sets. Interpretation of an example is then provided. Results Results show the expected equalities between our new partial measures and the existing whole measures. The example interpretation illustrates the need for our newly derived partial measures. Conclusions The concordant partial area under the ROC curve was proposed and unlike previous partial measure alternatives, it maintains the characteristics of the AUC. The first partial c statistic for ROC plots was also proposed as an unbiased interpretation for part of an ROC curve. The expected equalities among and between our newly derived partial measures and their existing full measure counterparts are confirmed. These measures may be used with any data set but this paper focuses on imbalanced data with low prevalence. Future work Future work with our proposed measures may: demonstrate their value for imbalanced data with high prevalence, compare them to other measures not based on areas; and combine them with other ROC measures and techniques.

ObjectiveTo develop and internally validate a deep-learning algorithm from fetal ultrasound images for the diagnosis of cystic hygromas in the first trimester.MethodsAll first trimester ultrasound scans with a diagnosis of a cystic hygroma between 11 and 14 weeks gestation at our tertiary care centre in Ontario, Canada were studied. Ultrasound scans with normal nuchal translucency were used as controls. The dataset was partitioned with 75% of images used for model training and 25% used for model validation. Images were analyzed using a DenseNet model and the accuracy of the trained model to correctly identify cases of cystic hygroma was assessed by calculating sensitivity, specificity, and the area under the receiver-operating characteristic (ROC) curve. Gradient class activation heat maps (Grad-CAM) were generated to assess model interpretability.ResultsThe dataset included 289 sagittal fetal ultrasound images;129 cystic hygroma cases and 160 normal NT controls. Overall model accuracy was 93% (95% CI: 88-98%), sensitivity 92% (95% CI: 79-100%), specificity 94% (95% CI: 91-96%), and the area under the ROC curve 0.94 (95% CI: 0.89-1.0). Grad-CAM heat maps demonstrated that the model predictions were driven primarily by the fetal posterior cervical area.ConclusionsOur findings demonstrate that deep-learning algorithms can achieve high accuracy in diagnostic interpretation of cystic hygroma in the first trimester, validated against expert clinical assessment.

The Program of All-Inclusive Care for the Elderly (PACE) is a community-based care model in the United States that provides comprehensive health and social services to frail, nursing home-eligible adults aged 55 years and older. PACE organizations aim to support adequate pain control in their participants, yet few evidence-based pain interventions have been adopted or integrated into this setting. This article provides a roadmap for researchers who are interested in collaborating with PACE organizations to embed and evaluate evidence-based pain tools and interventions. We situate our discussion within the Consolidated Framework for Implementation Research (CFIR), a meta-theoretical framework that considers multi-level influences to implementation and evaluation of evidence-based programs. Within each CFIR domain, we identify key factors informed by our own work that merit consideration by research teams and PACE collaborators. Inner setting components pertain to the organizational culture of each PACE organization, the type and quality of electronic health record data, and availability of staff to assist with data abstraction. Outer setting components include external policies and regulations by the National PACE Association and audits conducted by the Centers for Medicare and Medicaid Services, which have implications for research participant recruitment and enrollment. Individuallevel characteristics of PACE organization leaders include their receptivity toward new innovations and perceived ability to implement them. Forming and sustaining research-PACE partnerships to deliver evidence-based pain interventions pain will require attention to multi-level factors that may influence future uptake and provides a way to improve the health and well-being of patients served by these programs. [ABSTRACT FROM AUTHOR]

Background and Objectives Little is known about the prevalence of physical pain among family caregivers to older adults. We used national survey data to assess the relative prevalence of caregivers' arthritis and activity-limiting bothersome pain by caregiver and care-recipient characteristics to identify which caregivers may be at a higher risk for physical pain. Research Design and Methods We analyzed data collected from 1,930 caregivers who participated in the National Study on Caregiving (2017). We utilized modified Poisson models to estimate adjusted associations of caregiver and care-recipient characteristics with the relative prevalence of arthritis and bothersome pain. Results Forty percent of caregivers had a lifetime diagnosis of arthritis. Seventy-five percent of caregivers with arthritis reported bothersome pain, nearly 30% of whom endorsed bothersome pain that limited their activities on most or every day of the previous month (i.e. activity-limiting bothersome pain). Regardless of whether they had arthritis, 51% of the sample reported bothersome pain in the previous month, 24% of whom indicated activity-limiting bothersome pain. Caregivers who were older or more highly educated had a higher prevalence of arthritis. Black caregivers had a lower prevalence of arthritis and activity-limiting bothersome pain compared to White caregivers. Caregivers with physical difficulty providing care had a higher prevalence of arthritis and activity-limiting bothersome pain than caregivers without physical difficulty providing care. Discussion and Implications Arthritis and activity-limiting bothersome pain are highly prevalent among caregivers. Given increased prevalence of pain among certain caregivers, it may be efficient to target these groups for pain management interventions. [ABSTRACT FROM AUTHOR]

Objectives Frailty is a risk factor for adverse health in SLE. The Fried phenotype (FP) and the SLICC Frailty Index (SLICC-FI) are common frailty metrics reflecting distinct approaches to frailty assessment. We aimed to (1) compare frailty prevalence according to both metrics in women with SLE and describe differences between frail and non-frail participants using each method and (2) evaluate for cross-sectional associations between each metric and self-reported disability. Methods Women aged 18–70 years with SLE were enrolled. FP and SLICC-FI were measured, and agreement calculated using a kappa statistic. Physician-reported disease activity and damage, Patient Reported Outcome Measurement Information System (PROMIS) computerized adaptive tests, and Valued Life Activities (VLA) self-reported disability were assessed. Differences between frail and non-frail participants were evaluated cross-sectionally, and the association of frailty with disability was determined for both metrics. Results Of 67 participants, 17.9% (FP) and 26.9% (SLICC-FI) were frail according to each metric (kappa = 0.41, P  < 0.01). Compared with non-frail women, frail women had greater disease damage, worse PROMIS scores, and greater disability (all P  < 0.01 for FP and SLICC-FI). After age adjustment, frailty remained associated with a greater odds of disability [FP: odds ratio (OR) 4.7, 95% CI 1.2, 18.8; SLICC-FI: OR 4.6, 95% CI 1.3, 15.8]. Conclusion Frailty is present in 17.9–26.9% of women with SLE. These metrics identified a similar, but non-identical group of women as frail. Further studies are needed to explore which metric is most informative in this population. [ABSTRACT FROM AUTHOR]

Abstract Purpose Informed medical decision‐making at the end of life often requires engaging in highly emotional, potentially upsetting discussions about prognosis, while ensuring that patients grasp its personal meaning. Behavioral science offers insights into ways to promote prognostic understanding among patients with advanced cancer. Summary In this literature review, we synthesize complementary findings from basic behavioral science and applied clinical research, which suggest that psychological factors can significantly influence both patients’ clinical interactions and their prognostic understanding. For example, stress and emotion can affect cognition, which may shape how patients process complex medical information. Additionally, clinicians may be less likely to share prognostic information with distressed patients who, in turn, may be hesitant to ask about their prognosis for fear of the answer. Although traditional approaches for increasing advanced cancer patients’ understanding focus on improving information delivery, these efforts may not be sufficient without corresponding interventions that assist patients in managing distress. Conclusions Psychological barriers may limit opportunities for patients to fully understand their prognosis and to receive high quality of end‐of‐life care that is linked with an accurate understanding of their disease and treatment options. Failure to attend to patients’ emotional distress may undermine efforts to improve medical communication. This underscores the importance of increased attention to the psychological factors that impede patients’ comprehension of material shared in cancer clinic visits, in order to inform interventions that address patient distress both before and after receiving “bad news." Integrating findings from psychological research into prognostic discussions may not only improve advanced cancer patients’ mental health, but may also promote their ability to make informed, value‐consistent medical decisions.