Digital mental health interventions (DMHIs) provide a promising avenue for addressing the mental health needs of adults with chronic health conditions (CHCs). Transdiagnostic DMHIs, which apply to a range of conditions by focusing on common core processes of change (e.g., acceptance and commitment therapy; ACT), are particularly needed to address the various ways a wide range of CHCs impact quality of life. The present study evaluated an ACT DMHI designed to improve quality of life and mental health transdiagnostically for adults with CHCs. A sample of 100 adults with CHCs were randomized to ACT or waitlist, with baseline, 6-week, and 10-week assessment points. Recruitment (100 participants in 3 months with a wide range of CHCs), retention (84% at follow-up), and adherence rates (M = 4 of 6 sessions) indicated feasibility, with high program satisfaction ratings for acceptability. Only psychological flexibility improved more in ACT versus waitlist at post-intervention (6-week follow-up), with no differences on other outcomes until 10-week follow-up. Participants in ACT improved significantly more than waitlist at 10-week follow-up on the primary outcome of quality of life as well as functional impairment from CHCs and psychological flexibility. An exploratory moderation test suggested participants with elevated mental health symptoms at baseline improved more on these symptoms in ACT relative to waitlist at 10-week follow-up. Overall, results support the feasibility, acceptability, and efficacy of a transdiagnostic ACT DMHI to improve quality of life and mental health for adults with a wide range of CHCs. CLINICALTRIALSGOV IDENTIFIER: NCT06179264.

Sense of coherence (SoC) is a core concept of 'salutogenesis' in positive psychology, correlated with emotional distress and disease development in adults with chronic disease and older adults. A diversity of non-pharmacological interventions (NPIs) has been developed to enhance SoC, but research findings are conflicting and the adequacy of sample sizes is uncertainty.

This paper aimed to explore appropriate interventions, evaluate the effectiveness of these SoC interventions and verify the statistical robustness and reliability of pooled results.

Search terms including 'sense of coherence' and 'randomised controlled trial (RCT)' were performed in nine electronic databases. Publications were written in English from January 1979 to February 2024. A narrative synthesis was performed to determine intervention details, and classical meta-analysis was used to analyse available data on SoC using RevMan. Besides, trial sequential analysis (TSA) was conducted to verify the robustness of pooled effect size.

Meta-analysis was carried out with 27 RCTs involving 2178 patients. It showed significant effects on SoC compared to usual care among this population for all NPIs at post-intervention and 3-month follow-up. Of these follow-up durations, the effective NPIs were salutogenic-based intervention, self-management intervention, while no significant difference was observed at 6-month or > 6-month follow-up. TSA showed that the significant finding of meta-analysis in salutogenic-based intervention was stable and reliable, while the pooled sample size on self-management intervention was insufficient.

Non-pharmacological (salutogenic-based) interventions could improve SoC among older adults and adults with chronic conditions within 3 months after-intervention. However, its effects were not sustained over a longer period, which further studies will need larger sample sizes to draw definitive conclusions.

This meta-analysis provided the evidence that salutogenic-based interventions could improve SoC among the target population within 3 months after-intervention, providing a solid foundation for healthcare professionals to base their therapeutic strategies.

The searching results were reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis checklist.

This study is a systematic review with meta-analysis and trial sequential analysis, and the aforementioned details are not applicable to our research.

PROSPERO: CRD42023401215.

In kidney transplantation, ongoing alloimmune processes-commonly triggered by HLA incompatibilities-can trigger chronic transplant rejection, affecting the microcirculation and the tubulointerstitium. Continuous inflammation may lead to progressive, irreversible graft injury, culminating in graft dysfunction and accelerated transplant failure. Numerous experimental and translational studies have delineated a complex interplay of different immune mechanisms driving rejection, with antibody-mediated rejection (AMR) being an extensively studied rejection variant. In microvascular inflammation, a hallmark lesion of AMR, natural killer (NK) cells have emerged as pivotal effector cells. Their essential role is supported by immunohistologic evidence, bulk and spatial transcriptomics, and functional genetics. Despite significant research efforts, a substantial unmet need for approved rejection therapies persists, with many trials yielding negative outcomes. However, several promising therapies are currently under investigation, including felzartamab, a monoclonal antibody targeting the surface molecule CD38, which is highly expressed in NK cells and antibody-producing plasma cells. In an exploratory phase 2 trial in late AMR, this compound has demonstrated potential in resolving molecular and morphologic rejection activity and injury, predominantly by targeting NK cell effector function. These findings inspire hope for effective treatments and emphasize the necessity of further pivotal trials focusing on chronic transplant rejection.

In health professional shortage areas (HPSAs), primary care providers face challenges due to high workloads and limited resources, impacting their ability to provide comprehensive care to patients with multiple chronic conditions (MCCs). In addition, patients in HPSA compared to non-HPSA settings experience poorer outcomes. Nurse practitioners (NPs) play a crucial role in meeting MCC patients' needs, but some work in unfavorable care environments (e.g., lacking teamwork, support, and autonomy) that hinder their capacity to manage complex chronic diseases. This study examines the effect of NP care environments on the relationship between HPSA status and hospitalizations or emergency department (ED) visits among patients with MCCs. We conducted a secondary analysis of merged Medicare claims, NP survey data, and Health Resources and Services Administration data. Our sample included 779 practices with 394,424 Medicare beneficiaries aged 65+ who had at least two of 15 chronic conditions. We used logistic regression to evaluate the impact of HPSA status and the NP care environment on ED visits or hospitalizations. NP care environments moderate the association between HPSA status and hospitalization (AOR 1.165, 95% CI [1.037-1.309], p = 0.010) but not ED use. Improved care environments are associated with lower odds of hospitalization in non-HPSAs (β = -0.148, 95% CI [-0.225, -0.072], p = 0.0001), while in HPSAs, improved care environments have no effect on hospitalization odds (β = 0.0047, 95% CI [-0.086, 0.096], p = 0.920). Addressing provider shortages in HPSAs may allow an improved NP care environment to produce maximal benefits for patients.

Coronary endarterectomy (CE) is an adjunct to coronary artery bypass grafting (CABG) in patients with one or more diffusely diseased coronary arteries. Although associated with increased perioperative morbidity and mortality, it remains a therapeutic strategy to potentially improve late outcomes by facilitating the revascularization of an otherwise ungraftable target.

Medicare beneficiaries undergoing CABG from 2001 to 2019 were identified. Surgeon proclivity for endarterectomy was determined; surgeons were stratified by quintile of endarterectomy frequency. Overlap propensity score weighting risk-adjusted measured confounding variables. Risk-adjusted survival was compared between surgeons.

1 500 710 Medicare beneficiaries underwent isolated CABG, of whom 32 302 (2.2%) underwent concomitant CE. Surgeons were divided into never-endarterectomizers (0% frequency, 267 245 surgeries by 1839 surgeons), occasional-endarterectomizers (0-4% frequency, 1 001 310 surgeries by 2207 surgeons) and frequent-endarterectomizers (≥4% frequency, 232 155 surgeries by 756 surgeons). Beneficiaries undergoing surgery by a never-endarterectomizer had a risk-adjusted median survival of 10.05 [95% CI: 10.00, 10.09] versus 9.90 [9.86, 9.95] years in those undergoing surgery by a frequent-endarterectomizer, a difference of 1.71 [1.08, 2.37] months, P < 0.001 for risk-adjusted survival comparison. Similarly, beneficiaries undergoing surgery by an occasional-endarterectomizer had a risk-adjusted median survival of 9.94 [9.91, 9.96] versus 9.85 [9.80, 9.90] years for those undergoing surgery by a frequent-endarterectomizer, a difference of 1.05 [0.56, 1.74] months, P < 0.001 for risk-adjusted survival comparison.

Medicare beneficiaries undergoing CABG by never- or occasional-endarterectomizers had small early risk-adjusted survival advantages and similar late outcomes compared to those undergoing surgery by frequent-endarterectomizers. CE remains a valuable tool in selected cases; however, it may be reasonable for surgeons to adopt a never- or occasional-endarterectomy approach to CABG.

The causal relationship between slow gait speed and poor cognition is uncertain due to potential reverse causality. This study aimed to examine the reciprocal relationship between gait speed and global as well as domain-specific cognitive functions in older adults.

Prospective cohort study (2013-2022) including 4 repeated measures.

Community-dwelling and adults without dementia aged ≥65 recruited at baseline.

Biennial evaluations included assessments of 4-m usual walking speed, global cognition using the Taiwanese version of the Montreal Cognitive Assessment (MoCA), and cognitive domains (memory, executive function, verbal fluency, and attention) using a battery of neuropsychological tests. Cross-lagged models and linear mixed models were used to examine the bidirectional association between gait speed and cognitive functions with adjustment for potential confounders.

At baseline, 511 participants were enrolled, and 459 individuals with a mean age of 74.5 years were ultimately analyzed. A 1-SD decrease in gait speed was associated with a 0.07-0.09 SD decrease in subsequent global cognition [βˆWave 1→2: 0.07, standard error (SE): 0.03; βˆWave 2→3: 0.09, SE: 0.04; βˆWave 3→4: 0.09, SE: 0.04; all P < .05]. Similarly, a 1-SD decrease in global cognition was associated with a 0.18 to 0.19 SD decrease in subsequent gait speed (βˆWave 1→2: 0.18, SE: 0.05; βˆWave 2→3: 0.18, SE: 0.06; βˆWave 3→4: 0.19, SE: 0.07; all P < .001). In addition, slower gait speed was associated with poor memory, verbal fluency, and executive function, and vice versa. The results of linear mixed models were consistent with the findings obtained from cross-lagged models.

This study found a reciprocal association between gait speed and global or domain-specific cognition. Regularly screening gait speed and cognitive function enables the early detection of declines in physical function and cognition.

Gardening activities became increasingly popular in health promotion. The aim of this systematic review was to investigate the effect of gardening-based training or horticultural therapy on domains of health, including mental, physical and general health.

The MEDLINE, PsychINFO, Web of Science, Cochrane, EMBASE, Greenfile, CINAHL, WHO ICTRP, and Clinicaltrials.gov databases were searched from their inception to September 2023. Peer-reviewed, randomized controlled trials (RCTs) or experimental studies with intervention and control groups in English that evaluated the effect of gardening activity or horticultural therapy on health domains. Adult participants living with chronic conditions were selected. Author, year, location, sample size, participant characteristics, study characteristics, type of intervention, measurement time points, measured outcomes, measurements, effect sizes and p values were extracted.

Twenty-three studies (n = 4535) with 13 RCTs and 10 quasi-experimental studies were included. The participants had a mean age of 54.39 years, and the majority of them were females (63.25%). Types of chronic conditions included physical dysfunction, pain, obesity, anxiety, depression, hypertension, cognition disfunction, etc. The effects of gardening activities were compared with those of the control by categorizing health into three domains: mental health (SMD = -0.31; 95% CI: -0.97, 0.34), physical health (SMD = -0.25; 95% CI: -0.62, 0.11) and general health (SMD = -0.08; 95% CI: -0.20, 0.05).

Gardening-based training programs have a small-to-medium effect on mental health in people living with chronic conditions. Relatively small effects were found for physical health and general health. Future research is recommended to better understand the impact of gardening activities on health.

This systematic review is registered to PROSPERO ( https://www.crd.york.ac.uk/prospero/ ) with registration ID: CRD42024504948.

Human papillomavirus (HPV) vaccination uptake has increased in the United States yet continues to fall short of the Healthy People 2030 goal. Cost of care is a known barrier. The Affordable Care Act (ACA) aimed to enhance access to preventive healthcare services, including HPV vaccination. Our study examined the association between the ACA and known vaccination-enabling factors in the United States.

We analyzed data from 29,216 adults aged 18-26 in the National Health Interview Survey from 2011 to 2017. Changes in vaccination-enabling factors (regular physician visitation and changes in health insurance status) and HPV vaccination status pre- (2011-2013; n = 13,494) to post-ACA (2014-2017; n = 15,722) were assessed using logistic regression models adjusted for poverty, education, marital status, comorbidities, sex, and geography.

A total of 13,494 and 15,722 eligible individuals were identified pre- and post-ACA, respectively. Post-ACA, the proportion of individuals reporting receipt of one dose of the HPV vaccine increased by 43 % (3.9 % to 5.5 %; OR 1.45, 95 % CI 1.24, 1.70; p < .001), with significant gains among non-Hispanic White (OR 1.55, 95 % CI 1.24, 1.94) and Black individuals (OR 1.59, 95 % CI 1.12, 2.29). Completion of ≥2 doses rose from 12.5 % to 17.8 % (OR 1.62, 95 % CI 1.47, 1.79), notably among Hispanic individuals (7.6 % to 14.7 %, ORinteraction = 1.36, 95 % CI 1.05, 1.77; p = .020). Post-ACA, there was a significant decrease in uninsured rates and an increase in vaccination completion odds among individuals privately insured (OR 1.36, 95 % CI 1.22, 1.52; p < .001) and those insured by Medicaid (OR 1.81, 95 % CI 1.35, 2.43; p < .001). Regular physician visits also rose pre- to post-ACA (53.1 % to 57.1 %, OR 1.17, 95 % CI 1.09, 1.25; p < .001).

The ACA has been associated with increased HPV vaccination uptake, especially among racial/ethnic minorities, gains likely driven by an increase in vaccination-enabling factors such as decreased uninsurance and increased access to physician visits.

Obesity accelerates the onset and progression of age-related conditions. In preclinical models, obesity drives cellular senescence, a cell fate that compromises tissue health and function, in part through a robust and diverse secretome. In humans, components of the secretome have been used as senescence biomarkers that are predictive of age-related disease, disability, and mortality. Here, using biospecimens and clinical data from two large and independent cohorts of older adults, we tested the hypothesis that the circulating concentrations of senescence biomarkers are influenced by body mass index. After adjusting for age, sex, and race, we observed significant increases in activin A, Fas, MDC, PAI1, PARC, TNFR1, and VEGFA, and a significant decrease in RAGE, from normal weight, to overweight, to obesity body mass index categories by linear regression in both cohorts (all p < .05). These results highlight the influence of body mass index on circulating concentrations of senescence biomarkers.

Multimorbidity with diabetes mellitus (DM and ≥ 1 chronic disease) presents challenges to maintaining adequate DM control.

This study evaluates the risk of DM-related complications associated with various multimorbidity/DM patterns for patients seen in community-based health centers (CHCs).

Retrospective cohort study from the ADVANCE multi-state practice-based clinical data network.

Study included data from 132,765 patients age ≥ 45 years with DM seen in 2493 CHCs across 26 states from 10/01/2015 to 12/31/2019.

We assessed accrual of conditions and risk of experiencing DM complications during follow-up. Primary outcome of DM complication was categorized into acute, microvascular, microvascular (end-stage), macrovascular, or other. Key exposures included mutually exclusive multimorbidity categories: (1) DM + cardiometabolic, (2) DM + other somatic, (3) DM + mental, (4) DM + mental + somatic.

At baseline, 17.2% of patients had DM only, 55.0% had DM + cardiometabolic multimorbidity, 2.3% had DM + other somatic multimorbidity, 3.0% had DM + mental multimorbidity, and 22.5% had DM + mental + somatic multimorbidity. Most DM-only patients (76.5%) developed multimorbidity with DM by study end. Compared with DM-only, adjusted risk differences of DM complications ranged from 1.4% (acute) to 8.8% (microvascular). DM + mental + somatic multimorbidity was associated with 13.4% (95%CI 12.8-14.1%) higher adjusted risk of experiencing any DM complication.

CHCs care for increasingly complex populations of patients with DM. Tailoring disease management strategies to address comorbid cardiovascular and/or mental health conditions may be important to prevent acute, microvascular, and macrovascular complications in these settings.

To examine the association between insulin rationing and health care utilization.

Cross-sectional study of all 2021 National Health Interview Survey respondents with diabetes using insulin. Logistic regression and zero-inflated negative binomial regression models examined associations between insulin rationing (skipping, delaying, or reducing insulin to save money) and 1) emergency department (ED) visit or hospitalization and 2) number of urgent care visits. All analyses were age-stratified and used survey weights.

Among 982 respondents representing 7,593,944 U.S. adults (median age 61 years, 47% women), 17% reported rationing. Among adults 18-64 years old, rationing was not significantly associated with health care utilization. Among adults ≥65 years old, rationing was associated with more urgent care visits (relative risk 2.1, 95% CI 1.2-3.6) but not with odds of ED visit or hospitalization (odds ratio 0.7, 95% CI 0.3-1.4).

Insulin rationing was not associated with higher health care utilization, but concurrent rationing of health care may mask a relationship.

Spouses are a major support in managing multiple chronic conditions (MCC) in middle and later life, but little is known about perceptions of partner support patterns within couples. We examined perceptions of partner support patterns and satisfaction with partner support among older couples where both partners lived with MCC. Both partners in 51 couples completed separate phone interviews with open-ended questions about managing MCC and partner support. We categorized participating couples as discordant (n = 20) or concordant (n = 31) in their views of partner support. Our qualitative content analysis revealed that discordant couples wanted more mutual partner support, communication about health and support needs, engagement in health-related activities, and no desired changes. Concordant couples wanted more mutual partner support, working together to manage MCC, better partner self-management, and no desired changes. These findings inform targeted interventions for couples with MCC and emphasize exploring perceptions of partner support patterns.

An emerging field of research involves caregiving outcomes for persons with Alzheimer's disease and related dementias (ADRD) and co-occurring multimorbidity (ADRD-multimorbidity). This scoping review aims to assess and synthesize the body of literature on caregiving outcomes among informal caregivers of individuals with ADRD-multimorbidity.

We adhered to the scoping review framework by Arksey and O'Malley (2005) and Levac and colleagues (2010), which encompassed five steps: (1) identify the research question(s), delineate the inclusion and exclusion criteria, (2) search for relevant studies, (3) select studies, (4) chart the data, and (5) collate, summarize, and report results. Electronic databases including Ovid Medline, CINAHL, Embase, and PsycINFO were employed to identify relevant studies.

A total of 1,856 articles were identified and 29 were included in the final review. The majority of studies were quantitative, cross-sectional studies. The two most commonly examined caregiving outcomes were caregiver burden and psychological well-being. Most research on caregiver outcomes treated care recipients' cognitive impairment and chronic conditions separately, rather than exploring their interaction. Most studies examining caregiver burden utilized Zarit Burden Index and its variants. Specific psychological well-being outcomes displayed great variability across studies.

Despite challenges in synthesizing the extensive variability in the way cognitive status, ADRD-multimorbidity, and caregiving outcomes were measured, included, and reported, this review underscores the intricate challenges of caregiving, especially when dealing with both cognitive impairments and co-occurring chronic conditions. This complexity underscores the need for a deeper understanding of the diverse needs facing caregivers of people with ADRD-multimorbidity.

The Sangre Por Salud (SPS) Biobank was established to facilitate biomedical research opportunities for the Latino community by creating an easily accessible prospective cohort for scientists interested in studying health conditions and health disparities in this population.

Individuals self-identifying as Latino, aged 18-85 years, were prospectively recruited from the primary care Internal Medicine clinic at Mountain Park Health Center in Phoenix, Arizona. After obtaining informed consent, detailed medical history questionnaires were captured, and blood samples were obtained for common laboratory tests. Participants authorised the research team to access their electronic health records for research purposes. In addition, participants had serum, plasma and DNA samples isolated and stored at the Mayo Clinic Arizona Biorepository Laboratory for long-term storage and future access. As part of the study, participants consented and agreed to be contacted for potential participation in future research studies.

3756 participants provided informed consent, of whom 3733 completed all study questionnaires, an oral glucose tolerance test and had blood collected and stored. The SPS cohort is predominantly composed of females (72%), with a median age at time of consent of 42 years. All participants self-identified as Hispanic/Latino, 45% were married, 53% were employed for wages and 60% had less than a high school degree. Around 25% of participants met diagnostic criteria for overweight (BMI 25-29 kg/m2), and 49% met for obesity (BMI≥30 kg/m2). At time of recruitment, hypertension, hyperlipidaemia and depression affected 22%, 20% and 13% of the cohort, respectively.

We plan to regularly update the participants' electronic health records and self-reported health data to longitudinal research. Additionally, we plan to obtain a more comprehensive genomic analysis on the entire cohort, ensuring greater research interest and investigation into the underlying genetic factors that contribute to disease susceptibility in this cohort.

Many neighborhoods with concentrated racial and ethnic minority older adult populations experience high neighborhood disadvantage. Yet, to date, no studies have analyzed how neighborhood disadvantage affects the relationship between race and hospitalization among older adults. To fill this gap, we examined if neighborhood disadvantage moderates the relationship between race and hospitalization among older adults in the United States. Medicare claims data from 2018 on 530 962 beneficiary hospitalizations were merged with neighborhood data, and regression models assessed if the Area Deprivation Index (ADI) moderated the association between race and hospitalization. At the highest ADI score, the odds ratio (OR) for hospitalization for Black compared with White beneficiaries was the lowest (OR: 0.96; 95% CI: 0.89-1.04). At the lowest ADI score, the OR for hospitalization for Black compared with White beneficiaries was the highest (OR: 1.19; 95% CI: 1.09-1.29). When Black and White beneficiaries reside in severely deprived areas, the disparity in their outcomes is narrower. However, when they reside in areas with more advantages, White beneficiaries experience better outcomes than Black beneficiaries. Our findings have implications for practice and policy to invest resources in communities to assure health equity.

Cardiovascular health (CVH) assessment may have important benefits for adults with chronic diseases to prevent incident cardiovascular disease and additional chronic conditions. Few studies have compared CVH in adults with chronic diseases and healthy adults without chronic disease using the American Heart Association's (AHA's) Life's Essential 8 (LE8) metrics.

We used National Health and Nutrition Examination Survey data from 2013 to 2018 to identify the presence of 16 chronic diseases by participant self-report of diagnosis. We included adults aged 20 to 79 years. CVH was defined by AHA's LE8 metrics. Overall mean LE8 (range 0-100, higher = better CVH) and individual LE8 metric scores were calculated according to disease status for all participants and stratified by self-identified sex, race, and ethnicity. There were 12 296 adults (51% women; mean age, 46 years) representing >186 million noninstitutionalized US adults. Significantly, and often substantially, lower CVH scores were noted for adults with chronic disease (14 of 16 diseases studied) versus unaffected adults, including all subtypes of cardiovascular disease, lung diseases, chronic kidney disease, liver conditions, cancer, arthritis, cognitive decline, and depression. For example, mean overall LE8 score was 14.0 points lower in those with versus without chronic obstructive pulmonary disease (51.0 versus 65.0, P<0.0001). Men and Black adults consistently had lower LE8 scores.

CVH is significantly poorer in adults with many chronic diseases compared with unaffected adults. These data suggest the utility of the LE8 score to identify groups for targeted optimization of CVH to enhance primary and secondary prevention efforts for cardiovascular disease and potentially for concomitant chronic diseases of aging.

Optimal systolic blood pressure (SBP) targets for the treatment of hospitalized acute decompensated heart failure (ADHF) patients are not known.

To investigate the association between SBP <130 mmHg at discharge or within 30 days and all-cause mortality or years of life lost (YLL) after ADHF hospitalization.

We analyzed medical records of 14,611 adults who survived ADHF hospitalization at 17 hospitals (2010-2022) with follow-up until May 2023. Sensitivity analysis included 10,515 patients with post-discharge SBP measured within 30 days.

Mortality rates at 30 days, 180 days, 1 year, and 3 years were higher in patients with discharge SBP <130 mmHg (6.9 %, 21.1 %, 29.1 %, and 45.1 %) vs. SBP ≥130 mmHg (4.8 %, 16.0 %, 23.6 %, and 40.3 %). Hazard ratios (HR) for mortality were consistently higher in patients with discharge SBP <130 at 1.30 (95 % CI, 1.11-1.52), 1.45 (95 % CI, 1.33-1.58), 1.40 (95 % CI, 1.30-1.51), 1.31 (95 % CI, 1.23-1.38) at these intervals. The average YLL per deceased individual was 1-2 years greater in the discharge SBP <130 group (incidence rate ratios, 1.004 to 1.230). Restricted cubic spline analysis showed that HR for mortality shifted toward better outcomes at discharge SBP ≥130 Sensitivity analysis supported these findings.

In hospitalized ADHF patients, SBP <130 mmHg at discharge or within 30 days post-discharge was linked to higher mortality and YLL, while SBP ≥130 mmHg or improvement to ≥130 mmHg post-discharge led to better short and long-term outcomes. Further research is needed to understand the mechanisms and benefits of SBP optimization.

Older adults from specific racial and ethnic minoritized groups experience disproportionately higher asthma prevalence, morbidity, and mortality. They also often use emergency departments (EDs) to manage their asthma. High-quality primary care can improve asthma control and prevent ED use. Nurse practitioners (NPs) provide an increasing proportion of primary care to minoritized patients, yet often, they work in poor work environments that strain NP care.

We examined whether racial and ethnic health disparities in ED visits among older adults with asthma are moderated by the NP work environment in primary care practices.

In 2018-2019, we used a cross-sectional design to collect survey data on NP work environments from 1,244 NPs in six geographically diverse states (i.e., Arizona, California, New Jersey, Pennsylvania, Texas, and Washington). We merged the survey data with 2018 Medicare claims data from 46,658 patients with asthma to assess the associations of all-cause and ambulatory care-sensitive conditions, ED visits with NPs' work environment, and race and ethnicity using logistic regression.

More than one third of patients with asthma visited the ED in 1 year, and a quarter of them had an ambulatory care-sensitive condition ED visit. Black and Hispanic patients were more likely than White patients to have all-cause and ambulatory care-sensitive condition ED visits. NP work environment moderated the association of race with all-cause and ambulatory care-sensitive condition ED visits among patients with asthma. Greater standardized NP work environment scores were associated with lower odds of all-cause and ambulatory care-sensitive condition ED visits between Black and White patients.

Disparities in ED visits between Black and White patients with asthma decrease when these patients receive care in care clinics with more favorable NP work environments. Preventing unnecessary ED visits among older adults with asthma is a likely benefit of favorable NP work environments. As the NP workforce grows, creating favorable work environments for NPs in primary care is vital for narrowing the health disparity gap.

Propose a methodology to identify COVID-19 associated deaths using healthcare billing records and evaluate its effectiveness by comparing the results with excess mortality data from 2020 to 2022 and confirmed COVID-19 deaths.

A retrospective quantitative analysis was conducted by merging healthcare billing records with cause of death data. The term "COVID-19 associated death" was defined as any death occurring within a defined timeframe following a confirmed contact with COVID-19. This category includes individuals who died directly due to COVID-19, with COVID-19 as a contributing factor, or as an aftermath of a COVID-19 infection, as well as those who died from other causes but had previously contracted COVID-19. This broader definition provides a more comprehensive measure of excess mortality compared to the officially confirmed COVID-19 deaths attributed to the virus.

We identified 35,399 COVID-19 associated deaths during the 3-year pandemic in Slovakia compared to 21,395 confirmed COVID-19 deaths.

The identification of COVID-19 associated deaths with our methodology offers a more accurate explanation for the notably high excess mortality observed in Slovakia (31,789 deaths) during the pandemic, relative to the EU27. Given the high level of excess mortality, the officially confirmed deaths are likely underestimated, and the presented methodology provides a more precise measure of mortality. Additionally, healthcare billing records prove valuable in identifying these deaths at the individual patient level using claims data of health insurance companies, which is crucial for implementing targeted preventive measures and improving preparedness for future pandemics.

Individuals' coping differs based on sociocultural determinants and the nature of illness. This study developed a coping typology for South Asians with chronic illnesses and differentiated the coping profiles based on sociocultural determinants. Individuals (n = 384) with chronic illness were recruited. The Brief COPE scale was used for data collection and latent profile analysis for typology development. The class differences were examined in terms of age, gender, socioeconomic status, education, type of family, smoking, primary decision maker in the family, type of community, number of years living with chronic illness and type of health care services used. Latent profile analysis supported four class model: Avoider-Emotion (n = 34, 9%), Problem-Emotion (n = 128, 33.9%), Problem-Avoider (n = 55, 14.6%) and Emotion-Avoider (n = 161, 42.6%) copers. Comparison of classes across chronic illness showed that individuals with chronic respiratory disorders were Emotion-Avoider and Avoider-Emotion copers, those with cardiac problems were Problem-Emotional and Problem-Avoiders copers, those with renal problems were Emotional-Avoiders and Problem-Emotions copers, and individuals with mental health issues were mainly Problem-Emotional and Emotion-Avoider copers. These class differences were statistically different (χ2 = 134, df = 18, p < .001). The findings can be useful for developing coping programmes for South Asian populations in low- and middle-income countries and South Asian immigrants.

Person-centered approaches to measuring severity of multimorbidity (≥ 2 chronic conditions) can help clinicians assess the individual experience of multimorbidity and inform effective caregiving and intervention strategies. We examine how limitations in everyday activities attributable to specific chronic conditions act independently and in tandem to influence individual perceptions of multimorbidity severity.

Data from the Panel Study of Income Dynamics (2005-2021) were used to investigate self-reported limitations in normal daily activities resulting from nine chronic conditions (hypertension, arthritis, diabetes, heart condition [heart disease/heart attack], cancer, lung disease, stroke, depression, and memory loss) in 4 318 adults aged 55-95 (18 878 person-wave observations). We used descriptive and inferential analyses to estimate limitations resulting from specific conditions, limitations attributable to condition combinations, and the contribution of comorbid conditions to condition-specific and overall severity. Follow-up analyses addressed mortality selection using inverse probability weighting and examined cancer type and cancer status/treatment modality among respondents reporting cancer diagnosis.

Of the more prevalent conditions, arthritis was associated with the most severe limitations to normal activities. Memory loss was the least frequent condition reported but resulted in the most severe limitations, and as a comorbid condition, increased limitations reported for most conditions. Inverse probability weighting adjusted models revealed heterogeneity in estimates for some conditions including cancer and cancer survivors tended to report less lethal cancers that were cured or in remission.

Our results suggest that efforts to prevent and treat arthritis and support cognitive function may reduce the severity of multimorbidity experienced by the individual.

Quantifying interdependence in multiple patient-centered outcomes is important for understanding health declines among older adults.

Medicare-linked National Health and Aging Trends Study data (2011-2015) were used to estimate a joint longitudinal logistic regression model of disability in activities of daily living (ADL), fair/poor self-rated health (SRH), and mortality. We calculated personalized concurrent risk (PCR) and typical concurrent risk (TCR) using regression coefficients.

For fair/poor SRH, highest odds were associated with COPD. For mortality, highest odds were associated with dementia, hip fracture, and kidney disease. Dementia and hip fracture were associated with highest odds of ADL disability. Hispanic respondents had highest odds of ADL disability. Hispanic and NH Black respondents had higher odds of fair/poor SRH, ADL disability, and mortality. PCRs/TCRs demonstrated wide variability for respondents with similar sociodemographic-multimorbidity profiles.

These findings highlight the variability of personalized risk in examining interdependent outcomes among older adults.

Older adults who survive critical illness are at risk for increased disability, limiting their independence and quality of life. We sought to evaluate whether the occurrence of symptoms that restrict activity, that is, restricting symptoms, is associated with increased disability following an ICU hospitalization.

Prospective longitudinal study of community-living adults 70 years old or older who were interviewed monthly between 1998 and 2018.

South Central Connecticut, United States.

Two hundred fifty-one ICU admissions from 202 participants who were discharged alive from the hospital.

None.

Occurrence of 15 restricting symptoms (operationalized as number of symptoms and presence of ≥ 2 symptoms) and disability in activities of daily living, instrumental activities of daily living, and mobility was ascertained during monthly interviews throughout the study period. We constructed multivariable Poisson regression models to evaluate the association between post-ICU restricting symptoms and subsequent disability over the 6 months following ICU hospitalization, adjusting for known risk factors for post-ICU disability including pre-ICU disability, frailty, cognitive impairment, mechanical ventilation, and ICU length of stay. The mean age of participants was 83.5 years ( sd , 5.6 yr); 57% were female. Over the 6 months following ICU hospitalization, each unit increase in the number of restricting symptoms was associated with a 5% increase in the number of disabilities (adjusted rate ratio, 1.05; 95% CI, 1.04-1.06). The presence of greater than or equal to 2 restricting symptoms was associated with a 29% greater number of disabilities over the 6 months following ICU hospitalization as compared with less than 2 symptoms (adjusted rate ratio, 1.29; 95% CI, 1.22-1.36).

In this longitudinal cohort of community-living older adults, symptoms restricting activity were independently associated with increased disability after ICU hospitalization. These findings suggest that management of restricting symptoms may enhance functional recovery among older ICU survivors.

Noncommunicable chronic diseases (NCDs) are a rapidly growing global public health concern, posing substantial challenges to healthcare systems. The presence of multiple (≥2) chronic conditions (MCC) exacerbates these challenges. In this study, we constructed an integrated MCC network to comprehensively evaluate the impact of NCD prevalence and associated factors on MCC patterns. We identified four distinct MCC patterns, each with its unique set of associated risk factors. Firstly, we found that race, sedentary lifestyles, and smoking habits were significant contributors to the co-occurrence of diabetes, chronic kidney disease, and cancer. Secondly, smoking habits and mental health were identified as risk factors associated with the clusters of high cholesterol, hypertension, coronary heart disease, and arthritis. Furthermore, the comorbidity of chronic obstructive pulmonary disease and asthma was affected by socioeconomic status, smoking habits, and educational attainment, and a noteworthy reciprocal relationship existed between these two MCC combinations. Thirdly, the combination of asthma and obesity is associated with risk factors such as mental health, smoking habits, sedentary lifestyles, and binge drinking behaviors. Finally, the pattern of depression-stroke comorbidity was influenced by risk factors including mental health, age, and sleep duration. Our findings hold valuable implications for healthcare system optimization, offering a pathway to mitigate the escalating burden of NCDs. Additionally, they provide a foundation for scientific strategies aimed at the joint prevention and management of these complex conditions, ultimately enhancing public health and safety on a global scale.

Although accurately assessing self-efficacy for self-management is crucial in chronic illness care, important, there is a scarcity of validated psychometric properties in Japan. This study aimed to validate a Japanese version of the Self-Efficacy for Managing Chronic Disease (SEMCD-J) scale.

Individuals with self-reported chronic diseases, symptoms, or conditions for over one year were recruited online. The SEMCD-J was translated through translation, back translation, and cognitive interviews with 15 participants. Patient Health Questionnaire-9 (PHQ-9) and Center for Disease Control and Prevention Healthy Days Core Module-4 (CDC-HRQOL-4) were used to evaluate the scale's validity. Test-retest reliability was assessed two weeks after the initial measurement.

Of 500 participants, 494 were analyzed and 149 were analyzed for test-retest reliability. The mean item score was 5.54 ± 2.12. Confirmatory factor analysis (CFA) with a 1-factor model showed good fit (CFI = 0.94, TLI = 0.90, RMSEA = 0.23, SRMR = 0.04). CFA with a 2-factor model showed better fit (CFI = 0.99, TLI = 0.98, RMSEA = 0.11, SRMR = 0.01). Cronbach's α of the total, Factor 1, and Factor 2 were 0.97, 0.97, and 0.92. Their item-total correlations ranged from 0.88 to 0.95, 0.93 to 0.97, and 0.92 to 0.93, respectively. Their interclass correlation coefficients were 0.63, 0.58, and 0.66, respectively. The minimum detectable change was 3.56. Pearson's correlation analyses indicated that SEMCD-J was significantly associated with PHQ-9 (r = -0.57, p < 0.001) and the dimensions of CDC-HRQOL-4, namely, the degree of general health (r = -0.55, p < 0.001), physically unhealthy days (r = -0.46, p < 0.001), mentally unhealthy days (r = -0.48, p < 0.001), and functionally unhealthy days (r = -0.50, p = < 0.001).

The validity and reliability of the SEMCD-J were indicated to be acceptable.

Remote longitudinal studies are on the rise and promise to increase reach and reduce participation barriers in chronic disease research. However, maintaining long-term retention in these studies remains challenging. Early identification of participants with different patterns of long-term retention offers the opportunity for tailored survey adaptations. Using data from the online arm of the Swiss Multiple Sclerosis Registry (SMSR), we assessed sociodemographic, health-related, and daily-life related baseline variables against measures of long-term retention in the follow-up surveys through multivariable logistic regressions and unsupervised clustering analyses. We further explored follow-up survey completion measures against survey requirements to inform future survey designs. Our analysis included data from 1,757 participants who completed a median of 4 (IQR 2-8) follow-up surveys after baseline with a maximum of 13 possible surveys. Survey start year, age, citizenship, MS type, symptom burden and independent driving were significant predictors of long-term retention at baseline. Three clusters of participants emerged, with no differences in long-term retention outcomes revealed across the clusters. Exploratory assessments of follow-up surveys suggest possible trends in increased survey complexity with lower rates of survey completion. Our findings offer insights into characteristics associated with long-term retention in remote longitudinal studies, yet they also highlight the possible influence of various unexplored factors on retention outcomes. Future studies should incorporate additional objective measures that reflect participants' individual contexts to understand their ability to remain engaged long-term and inform survey adaptations accordingly.

We examined the relationship between the nurse practitioner (NP) work environment and realized access (i.e., utilization) to primary care among rural older adults with substance use disorders (SUD). We analyzed cross-sectional NP survey data merged with Medicare claims and utilized fractional logistic regression. With one unit improvement in NP work environment, the odds of having older adults with SUDs in the practice increased by 20% (adjusted odds ratio=1.20, 95% confidence interval=1.01-1.44, p=0.04). Favorable work environments for NPs, including organizational support, collegiality, and role visibility, are associated with increased realized access to primary care among rural older adults with SUDs.

The objective of this systematic review and meta-analysis was to evaluate the effectiveness of social prescribing interventions in the management of long-term conditions in adults.

Eleven electronic databases were searched for randomised and quasi-randomised controlled trials.

Outcomes of interest were quality of life, physical activity, psychological well-being and disease-specific measures. Bias was assessed with the Cochrane Risk of Bias 2 tool. A narrative synthesis and meta-analysis were performed.

Twelve studies (n = 3566) were included in this review. Social prescribing interventions were heterogeneous and the most common risks of bias were poor blinding and high attrition. Social prescribing interventions designed to target specific long-term conditions i.e., cancer and diabetes demonstrated significant improvements in quality of life (n = 2 studies) and disease-specific psychological outcomes respectively (n = 3 studies). There was some evidence for improvement in physical activity (n = 2 studies) but most changes were within group only (n = 4 studies). Social prescribing interventions did not demonstrate any significant changes in general psychological well-being.

Social prescribing interventions demonstrated some improvements across a range of outcomes although the quality of evidence remains poor.

The impact of multimorbidity (≥ 2 chronic diseases) on the well-being of older adults is substantial but variable. The burden of multimorbidity varies by the number and kinds of conditions, and timing of onset. The impact varies by age, race, ethnicity, socioeconomic status, and health indicators. Large scale longitudinal surveys linked to medical claims provide unique opportunities to characterize this variability.

We analyzed Medicare-linked Health and Retirement Study data for respondents 65 and older with 3 or more years of fee-for-service coverage (n = 17,199; 2000-2016). We applied standardized claims algorithms for operationalizing 21 chronic diseases. We compared multimorbidity levels, demographics, and outcomes at baseline and over time and escalation to high multimorbidity levels (≥ 5 conditions).

At baseline, 51.2% had no multimorbidity, 36.5% had multimorbidity, and 12.4% had high multimorbidity. Loss of function, cognitive decline, and higher healthcare utilization were up to ten times more prevalent in the high multimorbidity group. Greater rates of high multimorbidity were seen among non-Hispanic Black and Hispanic groups, those with lower wealth, younger birth cohorts, and adults with obesity. Rates of transition to high multimorbidity varied greatly and was highest among Hispanic and respondents with lower education.

The development and progression of multimorbidity in old age is influenced by many factors. Higher levels of multimorbidity are associated with sociodemographic characteristics, suggesting possible mitigation strategies.

The scope of this paper was to estimate the prevalence of multimorbidity in the city of São Paulo and to verify the factors associated with the utilization of the health services. It involved a population based cross-sectional study based on data from the Health Survey in the city of São Paulo, in which descriptive analysis was conducted, and logistic regression models were developed using multimorbidity and sociodemographic independent variables, living conditions and use of health services as the outcome. A total of 3,184 individuals aged 20 years or older participated, with a mean age of 43.8 years. The prevalence of multimorbidity was 50.7% among women, 62.5% among those who reported some health problem and 55.1% among those who had recourse to health services in the last 2 weeks. A higher prevalence was identified among those who used the health service due to a mental health problem (66.1%), and in those who reported higher health expenditures in the preceding month (55.4%). Multimorbidity was more frequently associated with aging, in the population with a higher economic status, with worse self-rated health, who frequented health services for 6 months or less, who reported a health problem, or who had a health plan and opted for polypharmacy.

Patients with multiple chronic conditions often have many care plans, polypharmacy, and unrelieved symptoms that contribute to high emergency department and hospital use. High-quality primary care delivered in practices that employ nurse practitioners can help prevent the need for such acute care services. However, such practices located in primary care health professional shortage areas face challenges caring for these patients because of higher workloads and fewer resources.

We examined differences in hospitalization and emergency department use among patients with multiple chronic conditions who receive care from practices that employ nurse practitioners in health professional shortage areas compared to practices that employ nurse practitioners in non-health professional shortage areas.

We performed an analysis of Medicare claims, merged with Health Resources and Services Administration data on health professional shortage area status in five states. Our sample included 394,424 community-dwelling Medicare beneficiaries aged ≥65 years, with at least two of 15 common chronic conditions who received care in 779 practices that employ nurse practitioners. We used logistic regression to assess the relationship between health professional shortage area status and emergency department visits or hospitalizations.

We found a higher likelihood of emergency department visits among patients in health professional shortage areas compared to those in non-health professional shortage areas and no difference in the likelihood of hospitalization.

Emergency department use differences exist among older adults with multiple chronic conditions receiving care in practices that employ nurse practitioners in health professional shortage areas, compared to those in non-health professional shortage areas. To address this disparity, the health professional shortage area program should invest in recruiting and retaining nurse practitioners to health professional shortage areas to ease workforce shortages.

Although the global chronic morbidity indicator (GCMI) of the Minimum European Health Module (MEHM) was not specifically designed to monitor chronic disease in the population, it is increasingly used for this purpose in Europe and elsewhere. However, its metrological characteristics have seldom been examined, with various sensitivity issues being raised. The present study investigated the metrological performances of the GCMI and analyzed its implications in terms of prevalence and demographic and socioeconomic gradients of chronic conditions in the population.

We used data from two large French nationwide representative surveys with cross-sectional and longitudinal data conducted between 2010 and 2021. The surveys used MEHM and collected data on numerous chronic conditions and socioeconomic indicators. Criterion and predictive validity of the GCMI regarding chronic conditions and the resultant socioeconomic gradients were compared with indicators based on reports of individual chronic conditions.

GCMI sensitivity to capture chronic conditions varied from <20 to 80% depending on the chronic condition. Number of chronic conditions, gender, age and education were also associated with GCMI endorsement. However, the GCMI was predictive of mortality and activity limitations independently of individual conditions.

The varying lack of sensitivity depending on the chronic condition and the respondent's sociodemographic status may bias estimates of demographic and socioeconomic gradients compared with indicators based on reports of individual chronic conditions. Differences between GCMI and list-based approaches should be more cautiously considered when monitoring chronic conditions in the population. These approaches should be viewed as complementary rather than contradictory or interchangeable.

To identify empirical patterns of multimorbidity and quantify their associations with socioeconomic, behavioral characteristics, and health outcomes in the megacity of São Paulo.

This was a cross-sectional study conducted through household interviews with residents aged 20 years or older in urban areas (n = 3,184). Latent class analysis was used to identify patterns among the co-existence of 22 health conditions. Age-adjusted prevalence ratios were estimated using Poisson regression.

The analysis of latent classes showed 4 patterns of multimorbidity, whereas 58.6% of individuals were classified in the low disease probability group, followed by participants presenting cardiovascular conditions (15.9%), respiratory conditions (12.8%), and rheumatic, musculoskeletal, and emotional conditions (12.8%). Older individuals, with lower schooling and lower household income, presented higher multimorbidity prevalence in cardiovascular, respiratory, rheumatic, musculoskeletal, and emotional conditions patterns compared with the low disease probability pattern.

The results showed four distinct patterns of multimorbidity in the megacity population, and these patterns are clinically recognizable and theoretically plausible. The identification of trends between patterns would make it feasible to estimate the magnitude of the challenge for the organization of health care policies.

We still do not have comprehensive knowledge of which framework of patient-centered care (PCC) is appropriate for diabetes care, which elements of PCC are evidence-based, and the mechanism by which PCC elements are associated with outcomes through mediators. In this review, we elaborate on these issues. We found that for diabetes care, PCC elements such as autonomy support (patient individuality), cooperation and collaboration (system-level approach), com-munication and education (behavior change techniques), emotional support (biopsychosocial approach), and family/other involvement and support are critically important. All of these factors are directly associated with different patient outcomes and indirectly associated with outcomes through patient activation. We present the practical implications of these PCC elements.

The rapidly growing field of multimorbidity research demonstrates that changes in multimorbidity in mid- and late-life have far reaching effects on important person-centered outcomes, such as health-related quality of life. However, there are few organizing frameworks and comparatively little work weighing the merits and limitations of various quantitative methods applied to the longitudinal study of multimorbidity.

We identify and discuss methods aligned to specific research objectives with the goals of (i) establishing a common language for assessing longitudinal changes in multimorbidity, (ii) illuminating gaps in our knowledge regarding multimorbidity progression and critical periods of change, and (iii) informing research to identify groups that experience different rates and divergent etiological pathways of disease progression linked to deterioration in important health-related outcomes.

We review practical issues in the measurement of multimorbidity, longitudinal analysis of health-related data, operationalizing change over time, and discuss methods that align with 4 general typologies for research objectives in the longitudinal study of multimorbidity: (i) examine individual change in multimorbidity, (ii) identify subgroups that follow similar trajectories of multimorbidity progression, (iii) understand when, how, and why individuals or groups shift to more advanced stages of multimorbidity, and (iv) examine the coprogression of multimorbidity with key health domains.

This work encourages a systematic approach to the quantitative study of change in multimorbidity and provides a valuable resource for researchers working to measure and minimize the deleterious effects of multimorbidity on aging populations.

To describe the role of patients with a chronic disease, healthcare professionals (HCPs) and technology in shared decision making (SDM) and the use of clinical decision support systems (CDSSs), and to evaluate the effectiveness of SDM and CDSSs interventions.

Randomized controlled studies published between 2011 and 2021 were identified and screened independently by two reviewers, followed by data extraction and analysis. SDM elements and interactive styles were identified to shape the roles of patients, HCPs and technology.

Forty-three articles were identified and reported on 21 SDM-studies, 15 CDSS-studies, 2 studies containing both an SDM-tool and a CDSS, and 5 studies with other decision support components. SDM elements were mostly identified in SDM-tools and interactions styles were least common in the other decision support components.

Patients within the included RCTs mainly received information from SDM-tools and occasionally CDSSs when it concerns treatment strategies. HCPs provide and clarify information using SDM-tools and CDSSs. Technology provides interactions, which can support more active SDM. SDM-tools mostly showed evidence for positive effects on SDM outcomes, while CDSSs mostly demonstrated positive effects on clinical outcomes.

Technology-supported SDM has potential to optimize SDM when patients, HCPs and technology collaborate well together.

The prevalence of many chronic conditions has increased among US adults. Many adults with hypertension have other chronic conditions.

We estimated changes in the age-adjusted prevalence of multiple (≥3) chronic conditions, not including hypertension, using data from the National Health and Nutrition Examination Survey, from 1999-2000 to 2017-2020, among US adults with (n = 24,851) and without (n = 24,337 hypertension. Hypertension included systolic blood pressure (BP) ≥130 mm Hg, diastolic BP ≥80 mm Hg, or antihypertensive medication use. We studied 14 chronic conditions: arthritis, asthma, cancer, coronary heart disease, chronic kidney disease, depression, diabetes, dyslipidemia, hepatitis B, hepatitis C, heart failure, lung disease, obesity, and stroke.

From 1999-2000 to 2017-2020, the age-adjusted mean number of chronic conditions increased more among US adults with vs. without hypertension (2.2 to 2.8 vs. 1.7 to 2.0; P-interaction <0.001). Also, the age-adjusted prevalence of multiple chronic conditions increased from 39.0% to 52.0% among US adults with hypertension and from 26.0% to 30.0% among US adults without hypertension (P-interaction = 0.022). In 2017-2020, after age, gender, and race/ethnicity adjustment, US adults with hypertension were 1.94 (95% confidence interval: 1.72-2.18) times as likely to have multiple chronic conditions compared to those without hypertension. In 2017-2020, dyslipidemia, obesity, and arthritis were the most common 3 co-occurring chronic conditions among US adults with and without hypertension (age-adjusted prevalence 16.5% and 3.1%, respectively).

In 2017-2020, more than half of US adults with hypertension had ≥3 additional chronic conditions, a substantial increase from 20 years ago.

The occurrence of multimorbidity and its impacts have differentially affected population subgroups. Evidence on its incidence has mainly come from high-income regions, with limited exploration of racial disparities. This study investigated the association between racial groups and the development of multimorbidity and chronic conditions in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Data from self-reported white, brown (pardos or mixed-race), and black participants at baseline of ELSA-Brasil (2008-2010) who were at risk for multimorbidity were analysed. The development of chronic conditions was assessed through in-person visits and self-reported diagnosis via telephone until the third follow-up visit (2017-2019). Multimorbidity was defined when, at the follow-up visit, the participant had two or more morbidities. Cumulative incidences, incidence rates, and adjusted incidence rate ratios (IRRs) were estimated using Poisson models.

Over an 8.3-year follow-up, compared to white participants: browns had a 27% greater incidence of hypertension and obesity; and blacks had a 62% and 45% greater incidence, respectively. Blacks also had 58% more diabetes. The cancer incidence was greater among whites. Multimorbidity affected 41% of the participants, with a crude incidence rate of 57.5 cases per 1000 person-years (ranging from 56.3 for whites to 63.9 for blacks). Adjusted estimates showed a 20% higher incidence of multimorbidity in black participants compared to white participants (IRR: 1.20; 95% CI: 1.05-1.38).

Significant racial disparities in the risk of chronic conditions and multimorbidity were observed. Many associations revealed a gradient increase in illness risk according to darker skin tones. Addressing fundamental causes such as racism and racial discrimination, alongside considering social determinants of health, is vital for comprehensive multimorbidity care. Intersectoral, equitable policies are essential for ensuring health rights for historically marginalized groups.

Mitochondrial diseases in adults are generally chronic conditions with a wide spectrum of severity contributing to disease burden and healthcare resource utilisation. Data on healthcare resource utilisation in mitochondrial diseases are limited.

We performed a retrospective longitudinal study to investigate the clinical drivers of hospitalisation in adult patients with mitochondrial diseases to better understand healthcare resource utilisation.

We recruited participants from our specialised Mitochondrial Disease Clinic in Sydney, Australia between September 2018 and December 2021. We performed a retrospective chart review for the period 2013-2022 considering emergency department (ED) and/or hospital admission notes, as well as discharge summaries. We used multiple linear regression models to examine the association between the type of presenting symptom(s) and duration of hospital stay and frequency of admissions, while adjusting for relevant covariates.

Of the 99 patients considered, the duration of hospitalisation ranged from 0 to 116 days per participant and the number of admissions ranged from 0 to 21 per participant. Participants with one or more mitochondrial disease-associated admissions constituted 52% of the study cohort. 13% of the participants presented to the ED without requiring an admission and 35% never attended the ED or required a hospital admission during this period. Neurological (p<0.0001), gastroenterological (p=0.01) and symptoms categorised as 'other' (p<0.0001) were the main presentations driving the total number of days admitted to hospital. A statistically significant association was evident for the number of admissions and all types of presenting symptoms (p<0.0001).

There are variable reasons for hospitalisation in adults with mitochondrial diseases, with neurological and gastroenterological presentations being associated with prolonged and complex hospitalisation. A better understanding of clinical drivers such as these allows for better informed and well-coordinated management aimed at optimising healthcare resource utilisation.

Multimorbidity and functional limitation are associated with poor outcomes in heart failure (HF). However, the individual and combined effect of these on health-related quality of life in patients with HF is not well understood.

Patients aged ≥30 years with two or more HF diagnostic codes and one or more HF-related prescription drugs from four U.S. institutions were mailed a survey to measure patient-centric factors including functional status (activities of daily living [ADLs]) and health-related quality of life (PROMIS-29 Health Profile). Patients with HF from January 1, 2013 to February 1, 2018 were included. Multimorbidity was defined as ≥2 non-cardiovascular comorbidities; functional limitation as any limitation in at least one of eight ADLs. Patients were categorized into four groups by multimorbidity (Yes/No) and functional limitation (Yes/No). We dichotomized the PROMIS-29 sub-scale scores at the median and calculated odd ratios for the four multimorbidity/functional limitation groups.

A total of 3330 patients with HF returned the survey (response rate 31%); 3020 completed the questions of interest and were retained. Among these patients (45% female; mean age 73 [standard deviation: 12] years), 29% had neither multimorbidity nor functional limitation, 24% had multimorbidity only, 22% had functional limitation only, and 25% had both. After adjustment, having functional limitation only was associated with higher anxiety (odds ratio [OR]: 3.44, 95% confidence interval [CI]: 2.66-4.45), depression (OR: 3.11, 95% CI: 2.39-4.06), and fatigue (OR: 4.19, 95% CI: 3.25-5.40); worse sleep (OR: 2.14, 95% CI: 1.69-2.72) and pain (OR: 6.73, 95% CI: 5.15-8.78); and greater difficulty with social activities (OR: 9.40, 95% CI: 7.19-12.28) compared with having neither. Results were similar for having both multimorbidity and functional limitation.

Patients with only functional limitation have similar poor health-related quality of life scores as those with both multimorbidity and functional limitation, underscoring the important role that physical functioning plays in the well-being of patients with HF.