Accurate estimation of biological age and its application in disease prediction using a multimodal image Transformer system.

Aging in an individual refers to the temporal change, mostly decline, in the body's ability to meet physiological demands. Biological age (BA) is a biomarker of chronological aging and can be used to stratify populations to predict certain age-related chronic diseases. BA can be predicted from biomedical features such as brain MRI, retinal, or facial images, but the inherent heterogeneity in the aging process limits the usefulness of BA predicted from individual body systems. In this paper, we developed a multimodal Transformer-based architecture with cross-attention which was able to combine facial, tongue, and retinal images to estimate BA. We trained our model using facial, tongue, and retinal images from 11,223 healthy subjects and demonstrated that using a fusion of the three image modalities achieved the most accurate BA predictions. We validated our approach on a test population of 2,840 individuals with six chronic diseases and obtained significant difference between chronological age and BA (AgeDiff) than that of healthy subjects. We showed that AgeDiff has the potential to be utilized as a standalone biomarker or conjunctively alongside other known factors for risk stratification and progression prediction of chronic diseases. Our results therefore highlight the feasibility of using multimodal images to estimate and interrogate the aging process.

Monocyte Single-Cell Multimodal Profiling in Cardiovascular Disease Risk States.

BACKGROUND: Monocytes are a critical innate immune system cell type that serves homeostatic and immunoregulatory functions. They have been identified historically by the cell surface expression of CD14 and CD16. However, recent single-cell studies have revealed that they are much more heterogeneous than previously realized. METHODS: We utilized cellular indexing of transcriptomes and epitopes by sequencing (cellular indexing of transcriptomes and epitopes by sequencing) and single-cell RNA sequencing to describe the comprehensive transcriptional and phenotypic landscape of 437 126 monocytes. RESULTS: This high-dimensional multimodal approach identified vast phenotypic diversity and functionally distinct subsets, including IFN-responsive, MHCIIhi, monocyte-platelet aggregates, as well as nonclassical, sand several subpopulations of classical monocytes. Using flow cytometry, we validated the existence of MHCII+CD275+ MHCIIhi, CD42b+ monocyte-platelet aggregates, CD16+CD99- nonclassical monocytes, and CD99+ classical monocytes. Each subpopulation exhibited unique characteristics, developmental trajectories, transcriptional regulation, and tissue distribution. In addition, alterations associated with cardiovascular disease risk factors, including race, smoking, and hyperlipidemia were identified. Moreover, the effect of hyperlipidemia was recapitulated in mouse models of elevated cholesterol. CONCLUSIONS: This integrative and cross-species comparative analysis provides a new perspective on the comparison of alterations in monocytes in pathological conditions and offers insights into monocyte-driven mechanisms in cardiovascular disease and the potential for monocyte subpopulation targeted therapies.

A Multiseason Randomized Controlled Trial of Advax-Adjuvanted Seasonal Influenza Vaccine in Participants With Chronic Disease or Older Age.

BACKGROUND: The aim of the current study was to determine the safety and immunogenicity of trivalent inactivated influenza vaccine (TIV) alone or formulated with Advax delta inulin adjuvant in those who were older (aged >60 years) or had chronic disease. METHODS: Over 4 consecutive years from 2008 through 2011, adult participants with chronic disease or >60 years of age were recruited into a randomized controlled study to assess the safety, tolerability and immunogenicity of Advax-adjuvanted TIV (TIV + Adj) versus standard TIV. The per-protocol population with ≥1 postbaseline measurement of influenza antibodies comprised 1297 participants, 447 in the TIV and 850 in the TIV + Adj) group. RESULTS: No safety issues were identified. Variables negatively affecting vaccine responses included obesity and diabetes mellitus. Advax adjuvant had a positive impact on anti-influenza immunoglobulin M responses and on H3N2 and B strain seropositivity as assessed by hemagglutination inhibition. CONCLUSIONS: TIV + Adj was safe and well tolerated in individuals with chronic disease. There is an ongoing need for research into improved influenza vaccines for high-risk populations. CLINICAL TRIALS REGISTRATION: Australia New Zealand Clinical Trial Registry: ACTRN 12608000364370.

Cortical Spreading Depolarization in Moyamoya Vasculopathy: A Case Series.

BACKGROUND: Spreading depolarization describes a near-complete electrical discharge with altered local cerebral blood flow. It is described in association with acute and chronic diseases like hemorrhagic stroke or migraine. Moyamoya vasculopathy is a chronic, progressive cerebrovascular disorder leading to cerebral hypoperfusion, hemodynamically insufficient basal collateralization, and increased cortical microvascularization. METHODS: In a prospective case series, we monitored for spontaneous spreading depolarization activity by using intraoperative laser speckle imaging for real-time visualization and measurement of cortical perfusion and cerebrovascular reserve capacity during cerebral revascularization in 4 consecutive patients with moyamoya. RESULTS: Spontaneous spreading depolarization occurrence was documented in a patient with moyamoya before bypass grafting. Interestingly, this patient also exhibited a marked preoperative increase in angiographic collateral vessel formation. CONCLUSIONS: The spontaneous occurrence of SDs in moyamoya vasculopathy could potentially provide an explanation for localized cortical infarction and increased cortical microvascular density in these patients.

A Cross-Sectional Study of Health-Related Quality of Life in Patients with Predominantly Antibody Deficiency.

Health-related quality of life (HRQoL) measures individual well-being across physical, psychological, and social domains. Patients with predominantly antibody deficiency (PAD) are at risk for morbidity and mortality, however, the effect of these complications on HRQoL requires additional study. Patients with PAD were asked to voluntarily complete the Centers for Disease Control (CDC) HRQoL-14 Healthy Days Measure questionnaire. These results were compared to data from the CDC-initiated Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional questionnaire including questions from CDC-HRQOL-14. Statistical analyses included two-proportion Z-test, t-tests, and analysis of variance. 83 patients with PAD completed the survey. Patients were sub-stratified into mild (23.7%), moderate (35.5%), severe (40.8%), and secondary (8.4%) PAD. "Fair or poor" health status was reported in 52.6% of PAD patients. Mental health challenges ≥ 14 days/month occurred in 25% of patients. Physical health issues ≥ 14 days/month was reported in 44.7% of patients. Activity limitations were noted by 80.3% of patients. There were no statistically significant differences by PAD severity. Patients with autoimmune and inflammatory disease co-morbidities reported more mental health challenges compared to those without (78% vs. 54.3%, p = 0.02). Compared to the CDC-BRFSS data, significantly more patients with PAD reported "fair or poor" health status (53% vs 12.0%; p < 0.0001), mental health challenges (24.1% vs 14.7%; p = 0.02), and poor physical health (44.6% vs 8.0%; p < 0.0001). Patients with PAD had significantly reduced HRQoL compared to CDC-BRFSS respondents from a similar geographical region. Decreased HRQoL was prevalent across all PAD severity levels. Additional research is needed to improve HRQoL for patients with PAD.

Guidelines for in vivo models of developmental programming of cardiovascular disease risk.

Research using animals depends on the generation of offspring for use in experiments or for the maintenance of animal colonies. Although not considered by all, several different factors preceding and during pregnancy, as well as during lactation, can program various characteristics in the offspring. Here, we present the most common models of developmental programming of cardiovascular outcomes, important considerations for study design, and provide guidelines for producing and reporting rigorous and reproducible cardiovascular studies in offspring exposed to normal conditions or developmental insult. These guidelines provide considerations for the selection of the appropriate animal model and factors that should be reported to increase rigor and reproducibility while ensuring transparent reporting of methods and results.

Co-designing care for multimorbidity: a systematic review.

BACKGROUND: The co-design of health care enables patient-centredness by partnering patients, clinicians and other stakeholders together to create services. METHODS: We conducted a systematic review of co-designed health interventions for people living with multimorbidity and assessed (a) their effectiveness in improving health outcomes, (b) the co-design approaches used and (c) barriers and facilitators to the co-design process with people living with multimorbidity. We searched MEDLINE, EMBASE, CINAHL, Scopus and PsycINFO between 2000 and March 2022. Included experimental studies were quality assessed using the Cochrane risk of bias tool (ROB-2 and ROBINS-I). RESULTS: We screened 14,376 reports, with 13 reports meeting the eligibility criteria. Two reported health and well-being outcomes: one randomised clinical trial (n = 134) and one controlled cohort (n = 1933). Outcome measures included quality of life, self-efficacy, well-being, anxiety, depression, functional status, healthcare utilisation and mortality. Outcomes favouring the co-design interventions compared to control were minimal, with only 4 of 17 outcomes considered beneficial. Co-design approaches included needs assessment/ideation (12 of 13), prototype (11 of 13), pilot testing (5 of 13) (i.e. focus on usability) and health and well-being evaluations (2 of 13). Common challenges to the co-design process include poor stakeholder interest, passive participation, power imbalances and a lack of representativeness in the design group. Enablers include flexibility in approach, smaller group work, advocating for stakeholders' views and commitment to the process or decisions made. CONCLUSIONS: In this systematic review of co-design health interventions, we found that few projects assessed health and well-being outcomes, and the observed health and well-being benefits were minimal. The intensity and variability in the co-design approaches were substantial, and challenges were evident. Co-design aided the design of novel services and interventions for those with multimorbidity, improving their relevance, usability and acceptability. However, the clinical benefits of co-designed interventions for those with multimorbidity are unclear.

The impact of adverse childhood experiences on multimorbidity: a systematic review and meta-analysis.

BACKGROUND: Adverse childhood experiences (ACEs) have been implicated in the aetiology of a range of health outcomes, including multimorbidity. In this systematic review and meta-analysis, we aimed to identify, synthesise, and quantify the current evidence linking ACEs and multimorbidity. METHODS: We searched seven databases from inception to 20 July 2023: APA PsycNET, CINAHL Plus, Cochrane CENTRAL, Embase, MEDLINE, Scopus, and Web of Science. We selected studies investigating adverse events occurring during childhood (< 18 years) and an assessment of multimorbidity in adulthood (≥ 18 years). Studies that only assessed adverse events in adulthood or health outcomes in children were excluded. Risk of bias was assessed using the ROBINS-E tool. Meta-analysis of prevalence and dose-response meta-analysis methods were used for quantitative data synthesis. This review was pre-registered with PROSPERO (CRD42023389528). RESULTS: From 15,586 records, 25 studies were eligible for inclusion (total participants = 372,162). The prevalence of exposure to ≥ 1 ACEs was 48.1% (95% CI 33.4 to 63.1%). The prevalence of multimorbidity was 34.5% (95% CI 23.4 to 47.5%). Eight studies provided sufficient data for dose-response meta-analysis (total participants = 197,981). There was a significant dose-dependent relationship between ACE exposure and multimorbidity (p < 0.001), with every additional ACE exposure contributing to a 12.9% (95% CI 7.9 to 17.9%) increase in the odds for multimorbidity. However, there was heterogeneity among the included studies (I2 = 76.9%, Cochran Q = 102, p < 0.001). CONCLUSIONS: This is the first systematic review and meta-analysis to synthesise the literature on ACEs and multimorbidity, showing a dose-dependent relationship across a large number of participants. It consolidates and enhances an extensive body of literature that shows an association between ACEs and individual long-term health conditions, risky health behaviours, and other poor health outcomes.

Exercise intensity- and body region-specific differences in sweating in middle-aged to older men with and without type 2 diabetes.

Type 2 diabetes (T2D) is associated with reduced whole body sweating during exercise-heat stress. However, it is unclear if this impairment is related to exercise intensity and whether it occurs uniformly across body regions. We evaluated whole body (direct calorimetry) and local (ventilated-capsule technique; chest, back, forearm, thigh) sweat rates in physically active men with type 2 diabetes [T2D; aged 59 (7) yr; V̇o2peak 32.3 (7.6) mL·kg-1·min-1; n = 26; HbA1c 5.1%-9.1%] and without diabetes [Control; aged 61 (5) yr; V̇o2peak 37.5 (5.4) mL·kg-1·min-1; n = 26] during light- (∼40% V̇o2peak), moderate- (∼50% V̇o2peak), and vigorous- (∼65% V̇o2peak) intensity exercise (elicited by fixing metabolic heat production at ∼150, 200, 250 W·m-2, respectively) in 40°C, ∼17% relative humidity. Whole body sweating was ∼11% (T2D: Control mean difference [95% confidence interval]: -37 [-63, -12] g·m-2·h-1) and ∼13% (-50 [-76, -25] g·m-2·h-1) lower in the T2D compared with the Control group during moderate- and vigorous- (P ≤ 0.001) but not light-intensity exercise (-21 [-47, 4] g·m-2·h-1; P = 0.128). Consequently, the diabetes-related reductions in whole body sweat rate were 2.3 [1.6, 3.1] times greater during vigorous relative to light exercise (P < 0.001). Furthermore, these diabetes-related impairments in local sweating were region-specific during vigorous-intensity exercise (group × region interaction: P = 0.024), such that the diabetes-related reduction in local sweat rate at the trunk (chest, back) was 2.4 [1.2, 3.7] times greater than that at the limbs (thigh, arm). In summary, when assessed under hot, dry conditions, diabetes-related impairments in sweating are exercise intensity-dependent and greater at the trunk compared with the limbs.NEW & NOTEWORTHY This study evaluates the influence of exercise intensity on decrements in whole body sweating associated with type 2 diabetes. Furthermore, it investigates whether diabetes-related sweating impairments were exhibited uniformly or heterogeneously across body regions. We found that whole body sweating was attenuated in the type 2 diabetes group relative to control participants during moderate- and vigorous-intensity exercise but not light-intensity exercise; impairments were largely mediated by reduced sweating at the trunk rather than the limbs.

A contactless cure: Leveraging telehealth to improve hepatitis C treatment at a safety-net hospital.

Hepatitis C virus (HCV) causes significant mortality worldwide. HCV is highly curable but access to care is limited for many patients. The Grady Liver Clinic (GLC), a primary care-based HCV clinic, utilizes a multidisciplinary team to provide comprehensive care for a medically underserved patient population in Atlanta, Georgia. The GLC added a telehealth option for HCV treatment at the start of the COVID-19 pandemic. We describe the outcomes of utilizing telehealth in this population. We performed a retrospective chart review of patients who initiated HCV treatment from March 2019 to February 2020 (pre-pandemic) and March 2020 to February 2021 (pandemic). Charts were abstracted for patient demographics and characteristics, treatment regimen, and treatment outcomes. Our primary outcome was HCV cure rate of the pre-pandemic compared to the pandemic cohorts and within the different pandemic cohort visit types. We performed an intention-to-treat (ITT) analysis for all patients who took at least one dose of a direct-acting antiviral (DAA) regardless of therapy completion, and a per-protocol (PP) analysis of those who completed treatment and were tested for HCV cure. SVR12 rates were >95% on ITT analysis, with no significant difference between pre-pandemic and pandemic cohorts. There was also no significant difference within the pandemic group when treatment was provided traditionally, via telehealth, or via a hybrid of these. Our findings support the use of telehealth as a tool to expand access to HCV treatment in a medically underserved patient population.

Intensity and Variation of Health Navigator Support: Addressing Medical and Social Needs of Diabetes Patients in East Oakland.

BACKGROUND: Healthcare systems are increasingly screening and referring patients for unmet social needs (e.g., food insecurity). Little is known about the intensity of support necessary to address unmet needs, how this support may vary by circumstance or time (duration), or the factors that may contribute to this variation. OBJECTIVE: Describe health navigator services and the effort required to support patients with complex needs at a community health center in East Oakland, CA. DESIGN: Retrospective analysis of de-identified patient contact notes (e.g., progress notes). PARTICIPANTS: Convenience sample of patients (n = 27) enrolled in diabetes education and referred to health navigators. INTERVENTIONS: Navigators provide education on managing conditions (e.g., diabetes), initiate and track medical and social needs referrals, and navigate patients to medical and social care organizations. MAIN MEASURES: Descriptive statistics for prevalence, mean, median, and range values of patient contacts and navigation services. We described patterns and variation in navigation utilization (both contacts and navigation services) based on types of need. KEY RESULTS: We identified 811 unmet social and medical needs that occurred over 710 contacts with health navigators; 722 navigation services were used to address these needs. Patients were supported by navigators for a median of 9 months; approximately 25% of patients received support for > 1 year. We categorized patients into 3 different levels of social risk, accounting for patient complexity and resource needs. The top tertile (n = 9; 33%) accounted for the majority of resource utilization, based on health navigator contacts (68%) and navigation services (75%). CONCLUSIONS: The required intensity and support given to meet patients' medical and social needs is substantial and has significant variation. Meeting the needs of complex patients will require considerable investments in human capital, and a risk stratification system to help identify those most in need of services.

Comparing Rates of Undiagnosed Hypertension and Diabetes in Patients With and Without Substance Use Disorders.

BACKGROUND: Individuals with substance use disorders (SUDs) have increased risk for developing chronic conditions, though few studies assess rates of diagnosis of these conditions among patients with SUDs. OBJECTIVE: To compare rates of undiagnosed hypertension and diabetes among patients with and without an SUD. DESIGN: Cross-sectional analysis using electronic health record (EHR) data from 58 primary care clinics at a large, urban, healthcare system in New York. PARTICIPANTS: Patients who had at least two primary care visits from 2019-2022 were included in our patient sample. Patients without an ICD-10 hypertension diagnosis or prescribed hypertension medications and with at least two blood pressure (BP) readings ≥ 140/90 mm were labeled 'undiagnosed hypertension,' and patients without a diabetes diagnosis or prescribed diabetes medications and with A1C/hemoglobin ≥ 6.5% were labeled 'undiagnosed diabetes.' MAIN MEASURES: We calculated the mean number of patients with and without an ICD-10 SUD diagnosis who were diagnosed and undiagnosed for each condition. We used multivariate logistic regression to assess the association between being undiagnosed for each condition, and having an SUD diagnosis, patient demographic characteristics, clinical characteristics (body mass index, Elixhauser comorbidity count, diagnosed HIV and psychosis), the percentage of visits without a BP screening, and the total number of visits during the time period. KEY RESULTS: The percentage of patients with undiagnosed hypertension (2.74%) and diabetes (22.98%) was higher amongst patients with SUD than patients without SUD. In multivariate models, controlling for other factors, patients with SUD had significantly higher odds of having undiagnosed hypertension (OR: 1.81; 95% CI: 1.48, 2.20) and undiagnosed diabetes (OR: 1.93; 1.72, 2.16). Being younger, female, and having an HIV diagnosis was also associated with significantly higher odds for being undiagnosed. CONCLUSIONS: We found significant disparities in rates of undiagnosed chronic diseases among patients with SUDs, compared with patients without SUDs.

Patient Experiences Navigating Care Coordination For Long COVID: A Qualitative Study.

BACKGROUND: Little is known about how to best evaluate, diagnose, and treat long COVID, which presents challenges for patients as they seek care. OBJECTIVE: Understand experiences of patients as they navigate care for long COVID. DESIGN: Qualitative study involving interviews with patients about topics related to seeking and receiving care for long COVID. PARTICIPANTS: Eligible patients were at least 18 years of age, spoke English, self-identified as functioning well prior to COVID infection, and reported long COVID symptoms continued to impact their lives at 3 months or more after a COVID infection. APPROACH: Patients were recruited from a post-COVID recovery clinic at an academic medical center from August to September 2022. Interviews were audio-recorded, transcribed, and analyzed using thematic analysis. KEY RESULTS: Participants (n=21) reported experiences related to elements of care coordination: access to care, evaluation, treatment, and ongoing care concerns. Some patients noted access to care was facilitated by having providers that listened to and validated their symptoms; other patients reported feeling their access to care was hindered by providers who did not believe or understand their symptoms. Patients reported confusion around how to communicate their symptoms when being evaluated for long COVID, and they expressed frustration with receiving test results that were normal or diagnoses that were not directly attributed to long COVID. Patients acknowledged that clinicians are still learning how to treat long COVID, and they voiced appreciation for providers who are willing to try new treatment approaches. Patients expressed ongoing care concerns, including feeling there is nothing more that can be done, and questioned long-term impacts on their aging and life expectancy. CONCLUSIONS: Our findings shed light on challenges faced by patients with long COVID as they seek care. Healthcare systems and providers should consider these challenges when developing strategies to improve care coordination for patients with long COVID.

Food and Nutrition Insecurity: Experiences That Differ for Some and Independently Predict Diet-Related Disease, Los Angeles County, 2022.

BACKGROUND: National surveillance shows that food insecurity affects ∼1 in 10 Americans each year. Recently, experts have advocated for surveillance of nutrition insecurity alongside food insecurity. Nutrition security refers to the nutritional adequacy of accessible food and factors that impact one's ability to meet food preferences. OBJECTIVES: This study presents representative estimates of food insecurity and nutrition insecurity for Los Angeles County, CA, United States; compares predictors of these constructs; and examines whether they independently predict diet-related health outcomes. METHODS: In December 2022, a representative sample of Los Angeles County adults participating in the Understanding America Study (N = 1071) was surveyed about household food insecurity and nutrition insecurity over the past 12 months. Data were analyzed in 2023. RESULTS: Reported rates were similar for food insecurity (24%) and nutrition insecurity (25%), but the overlap of these subgroups was less than 60%. Logistic regression models indicated that non-Hispanic Asian individuals had higher odds of nutrition insecurity but not food insecurity. Moreover, nutrition insecurity was a stronger predictor of diabetes compared with food insecurity, and both constructs independently predicted poor mental health. CONCLUSIONS: Food and nutrition insecurity affect somewhat different populations. Both constructs are valuable predictors of diet-related health outcomes. Monitoring nutrition insecurity in addition to food insecurity can provide new information about populations with barriers to healthy diets.

Plant-Based Diets and Risk of Multimorbidity: The Health and Retirement Study.

BACKGROUND: Plant-based diets have gained attention due to their beneficial effects against major chronic diseases, although their association with multimorbidity is mostly unknown. OBJECTIVES: We examined the association between the healthful (hPDI) and unhealthful plant-based diet indices (uPDI) with multimorbidity among middle-aged and older adults from the United States. METHODS: Data on 4262 adults aged >50 y was obtained from the 2012-2020 Health and Retirement Study (HRS) and 2013 Health Care and Nutrition Study (HCNS). Food consumption was collected at baseline with a food frequency questionnaire and 2 PDIs were derived: the hPDI, with positive scores for healthy plant foods and reverse scores for less healthy plant foods and animal foods; and the uPDI, with only positive scoring for less healthy plant foods. Complex multimorbidity, defined as ≥3 coexistent conditions, was ascertained from 8 self-reported conditions: hypertension, diabetes, cancer, chronic lung disease, heart disease, stroke, arthritis, and depression. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: After a median follow-up of 7.8 y, we documented 1202 incident cases of multimorbidity. Compared with the lowest quartile, higher adherence to the hPDI was inversely associated with multimorbidity (HR for quartile 3: 0.77; 95% CI: 0.62, 0.96 and HR for quartile 4: 0.79; 95% CI, 0.63, 0.98; P-trend = 0.02). In addition, a 10-point increment in the hPDI was associated with a 11% lower incidence of multimorbidity (95% CI: 1, 20%). No significant associations were found for the uPDI after adjusting for sociodemographic and lifestyle factors. CONCLUSIONS: Higher adherence to the hPDI was inversely associated with multimorbidity among middle-aged and older adults. Plant-based diets that emphasize consumption of high-quality plant foods may help prevent the development of complex multimorbidity.

Cost-Effectiveness of a Government Policy to Incentivise Chronic Disease Management following Stroke: A Modelling Study.

INTRODUCTION: Little is known about the cost-effectiveness of government policies that support primary care physicians to provide comprehensive chronic disease management (CDM). This paper aimed to estimate the potential cost-effectiveness of CDM policies over a lifetime for long-time survivors of stroke. METHODS: A Markov model, using three health states (stable, hospitalised, dead), was developed to simulate the costs and benefits of CDM policies over 30 years (with 1-year cycles). Transition probabilities and costs from a health system perspective were obtained from the linkage of data between the Australian Stroke Clinical Registry (cohort n = 12,368, 42% female, median age 70 years, 45% had CDM claims) and government-held hospital, Medicare, and pharmaceutical claims datasets. Quality-adjusted life years (QALYs) were obtained from a comparable cohort (n = 512, 34% female, median age 69.6 years, 52% had CDM claims) linked with Medicare claims and death data. A 3% discount rate was applied to costs in Australian dollars (AUD, 2016) and QALYs beyond 12 months. Probabilistic sensitivity analyses were used to understand uncertainty. RESULTS: Per-person average total lifetime costs were AUD 142,939 and 8.97 QALYs for those with a claim, and AUD 103,889 and 8.98 QALYs for those without a claim. This indicates that these CDM policies were costlier without improving QALYs. The probability of cost-effectiveness of CDM policies was 26.1%, at a willingness-to-pay threshold of AUD 50,000/QALY. CONCLUSION: CDM policies, designed to encourage comprehensive care, are unlikely to be cost-effective for stroke compared to care without CDM. Further research to understand how to deliver such care cost-effectively is needed.

Bohemian Rhapsody of Future Drug Delivery Systems: Rational Changes Necessary for the Next Revolution.

Controlled drug delivery technology has matured for more than 70 years, starting from a twice-a-day oral formulation to 6 month long-acting injectable formulations. Further technological advances require superior formulations to treat various diseases more efficiently. Developing future formulations with practical innovations for treating existing and new diseases necessitates our continued efforts to overcome at least three main hurdles. They include (i) drug delivery with reduced side effects, (ii) long-term treatment of chronic diseases, and (iii) the overcoming of biological barriers. Such efforts start with the improved ability to accurately test drug delivery efficacy using proper controls. Future development can be aided by artificial intelligence if used properly. The next revolution of drug delivery systems will be augmented if implementation is given equal weight as discovery. Such a process can be accelerated with the systemic revamp of the research funding structure and cultivating a new generation of scientists who can think differently.

Physical impairment during and between migraine attacks: A daily diary study of patients with chronic migraine.

OBJECTIVE: While a substantial body of research describes the disabling impacts of migraine attacks, less research has described the impacts of migraine on physical functioning between migraine attacks. The objective of this study is to describe physical impairment during and between migraine attacks as a dimension of burden experienced by people living with chronic migraine. METHODS: The physical impairment domain of the Migraine Physical Function Impact Diary was recorded in headache diaries from the Medication Overuse Treatment Strategy trial. Days with moderate to severe headache were used to approximate migraine attacks. Factor analysis and regression analysis were used to describe associations between migraine and physical impairment. RESULTS: 77,662 headache diary entries from 720 participants were analyzed, including 25,414 days with moderate to severe headache, 19,149 days with mild headache, and 33,099 days with no headache. Mean physical impairment score was 41.5 (SD = 26.1) on days with moderate to severe headache, 12.8 (SD = 15.0) on days with mild headache, and 5.2 (SD = 13.1) on days with no headache. Physical impairment on days with mild headache and days with no headache was significantly associated with days since last moderate to severe headache, physical impairment with last moderate to severe headache, mild headache (compared to no headache), depression, hypersensitivities and cranial autonomic symptoms. CONCLUSIONS: Physical impairment occurs on migraine and non-migraine days. Study participants with frequent headaches, symptoms of depression, hypersensitivities and cranial autonomic symptoms experience physical impairment at a higher rate on days with no headache and days with mild headache.Clinical Trial Registration: ClinicalTrials.gov (NCT02764320).

Behavior Change Techniques Involved in Physical Activity Interventions for Children With Chronic Conditions: A Systematic Review.

BACKGROUND: Behavior change techniques (BCTs) have been extensively used in physical activity interventions for children, however, no systematic reviews have synthesized their effects. PURPOSE: The present review aimed to identify the most promising BCTs used in physical activity interventions associated with (i) increased physical activity behavior and (ii) positive psychosocial outcomes in children with chronic conditions. METHODS: A systematic search of 6 databases identified 61 articles as eligible for inclusion. Data, including BCTs, were extracted from these studies and analyzed descriptively. Due to the heterogeneity of interventions, chronic conditions, and outcome measures, a meta-analysis was not conducted. RESULTS: Social support (unspecified), graded tasks, generalization of target behavior, and credible source were the most commonly reported and most promising (i.e., present in 2+ studies evidencing significant effects) BCTs across all studies. These BCTs were found to be especially relevant to improving psychosocial outcomes in the short- and long-term and improving physical activity behaviors in the long-term. Meanwhile, to improve short-term physical activity behaviors, in addition to social support (unspecified), action planning, goal setting (behavior), and problem solving were found to be promising BCTs. CONCLUSIONS: The BCTs identified in this review may be relevant to incorporate when planning future interventions to support physical activity and psychosocial outcomes for children with chronic conditions.

Children with chronic conditions experience several barriers to engaging in physical activity. In order to overcome these unique barriers, physical activity interventions would need to incorporate specific strategies (called behavior change techniques [BCTs]) to encourage physical activity participation. The present review sought to identify BCTs that were successfully applied to physical activity interventions to increase physical activity behavior and improve psychosocial outcomes for children with chronic conditions. Across the 61 studies included within this review, the most commonly applied BCTs were providing instruction, allowing opportunities to practice the behavior, and demonstration of the behavior. Social support was also found to be the a successful BCT to increase physical activity behavior and improve psychosocial outcomes in the short- and long-term. Future physical activity interventions aimed at supporting physical activity behavior and psychosocial outcomes of children with chronic conditions could benefit from incorporating these strategies within intervention planning and delivery.

The Association Between Social Isolation and Medication Adherence Among Chinese Older Adults With Chronic Diseases: Serial Mediation of Social Support and Loneliness.

BACKGROUND: Medication adherence is essential for chronic disease management among older adults. Previous studies have shown significant links among social isolation, social support, loneliness, and medication adherence, yet most were based on cross-sectional designs. PURPOSE: We conducted a longitudinal cohort study among Chinese older adults with chronic diseases to explore the mediating effects of social support and loneliness in the association between social isolation and medication adherence. METHODS: This study followed a cohort of 797 older adults with chronic diseases in China from 2022 to 2023. The serial mediation model was examined via bootstrapping techniques to evaluate the mediating effect of social support and loneliness in the association between social isolation and medication adherence. RESULTS: From baseline to follow-up, there were significant decreases in social support (from 26.6 ± 6.2 to 23.5 ± 6.7) and medication adherence (from 6.7 ± 1.2 to 6.0 ± 1.5) and significant increases in social isolation (from 1.8 ± 1.3 to 2.5 ± 1.4) and loneliness (13.2 ± 4.1 to 23.5 ± 6.7), all with p < .001. A serial mediation model was confirmed, where social support and loneliness serially and partially mediated the association between social isolation and medication adherence (total effect c = -0.216, 95% CI = -0.296 to -0.136; direct effect c' = -0.094, 95% CI = -0.171 to -0.017; total indirect effect ab = -0.122, 95% CI = -0.179 to -0.070). CONCLUSIONS: Our findings yield critical insights into the relationship between social isolation and medication adherence through various mediating mechanisms. These findings hold significant implications for devising psychosocial interventions to enhance medication adherence among older adults with chronic diseases, underscoring the pivotal role of bolstering social support and alleviating loneliness.

This study investigated the relationship between social isolation, medication adherence, and psychosocial factors (social support and loneliness) in Chinese older adults with chronic diseases. We observed decreases in social support and medication adherence and increases in social isolation and loneliness from baseline to follow-up. The findings revealed that social support and loneliness sequentially and partially mediated the association between social isolation and medication adherence. These results highlight the importance of psychosocial interventions to improve medication adherence among older adults by enhancing social support and addressing feelings of loneliness. This study contributes to our understanding of the complex factors influencing medication adherence in this population and offers insights for designing effective interventions.