The evolution of symptoms of nervous system dysfunction in a First Nation community with a history of mercury exposure: a longitudinal study.

BACKGROUND: Since the 1960's, mercury (Hg) contamination of the aquatic environment of Asubpeeschoseewagong Anishinabek (Grassy Narrows First Nation) territories has impacted the community members' traditions, culture, livelihood, diet and health. Despite decreasing Hg exposure over time, a recent study suggested that long-term exposure contributed to later-life symptom clusters of nervous system dysfunction. Here, the objective was to evaluate, 5 years later, the prevalence and progression of these symptoms and examine the contribution of long-term, past Hg exposure. METHODS: The symptom questionnaire, applied in the 2016/17 Grassy Narrows Community Health Assessment (GN-CHA) (Time 1), was re-administered in the 2021/22 Niibin study (Time 2). A total of 85 adults (median age: 47y; range: 29-75y) responded at both times. Paired statistics were used to test the differences (Time 2 - Time 1) in self-reported symptom frequencies. The symptom clustering algorithm, derived from the entire study group of the GN-CHA (n = 391), which had yielded 6 clusters, was applied at Time 1 and 2. Equivalent hair Hg measurements (HHg) between 1970 and 1997 were used in Longitudinal Mixed Effects Models (LMEM), with a sub-group with ≥ 10 repeated HHg mesurements (age > 40y), to examine its associations with symptom cluster scores and their progression. RESULTS: For most symptoms, paired analyses (Time 2 - Time 1) showed a significant increase in persons reporting " very often" or "all the time", and in the mean Likert scores for younger and older participants (< and ≥ 50y). The increase in cluster scores was not associated with age or sex, except for sensory impairment where a greater increase in symptom frequency was observed for younger persons. LMEM showed that, for the sub-group, long-term past Hg exposure was associated with most cluster scores at both times, and importantly, for all clusters, with their rate of increase over time (Time 2 - Time 1). CONCLUSIONS: The persistence of reported symptoms and their increase in frequency over the short 5-year period underline the need for adequate health care services. Results of the sub-group of persons > 40y, whose HHg reflects exposure over the 28-year sampling period, suggest that there may be a progressive impact of Hg on nervous system dysfunction.

Longitudinal Follow-up Comparing Future Care of Primary Teeth Treated with Silver Diammine Fluoride: A Private Dental Claims Review.

Purpose: The purpose of this study was to longitudinally evaluate follow-up treatment on primary teeth initially treated with silver diammine fluoride (SDF). Methods: This retrospective cohort evaluated private insurance (not Medicaid) claims data from 2018 to 2019 for children no older than 12 years with at least one primary tooth initially treated with SDF. Additional treatment per tooth was recorded over a follow-up of at least 24 months. Results: The mean and standard deviation (±SD) age of 46,884 patients was 5.7±2.3 and for SDF-treated teeth per patient was 2.6±2.1. Forty percent (95 percent confidence interval [95% CI] equals 39 to 40.7 percent) of teeth initially treated with SDF received additional treatment. The odds of SDF-treated teeth receiving future treatment significantly decreased with patient age by 22 percent per year (odds ratio equals 0.78; 95% CI equals 0.077 to 0.79; P<0.001). Pediatric dentists had only slightly lower odds than general dentists for providing additional treatment (0.91, P<0.001). Posterior teeth and teeth expected to exfoliate in two or more years had significantly higher odds of receiving additional treatment (2.47 and 1.27, respectively, P<0.001). Conclusions: Beginning at age four, patient age at placement of silver diammine fluoride was inversely proportional to future treatment provided. Posterior teeth and teeth expected to exfoliate in two or more years were more likely to receive additional treatment.

Attitudes to long-term care in India: A secondary, mixed methods analysis.

OBJECTIVES: In India, globalisation is purported to have contributed to shifting family structures and changing attitudes to long-term care (LTC) facility use. We investigated the attitudes to and usage frequency of LTC in India. METHODS: We conducted secondary analyses of: (a) The Moving Pictures India Project qualitative interviews with 19 carers for people with dementia and 25 professionals, collected in 2022, exploring attitudes to LTC; and (b) The Longitudinal Ageing Study in India (LASI) 2017-2018, cross-sectional survey of a randomised probability sample of Indian adults aged 45+ living in private households. RESULTS: We identified three themes from qualitative data: (1) LTC as a last resort, describes how LTC could be acceptable if care at home was "impossible" due to the person's medical condition or unavailability of the family carer, for example, if family members lived overseas or interstate. (2) Social expectations of care at home from family members and paid carers and; (3) Limited availability of LTC facilities in India, especially in rural localities, and the financial barriers to their use. Of 73,396 LASI participants, 40 were considering moving to LTC; 18,281 had a parent alive, of whom 9 reported that their father, and 16 that their mother, lived in LTC. LTC use was rare. While a third of participants with a living parent lived in urban areas, 14/24 of those with a parent in LTC lived in an urban area, supporting our qualitative findings that LTC is mainly accessed in urban areas. CONCLUSIONS: Preference for intergenerational community care combined with limited availability and societal stigma contribute to low rates of LTC use among Indian families. Future social policies should consider how to plan for greater equity in strengthening care at home and in the community, and bolstering respite and LTC services as a last resort.

Intraoral scanner-based monitoring of tooth wear in young adults: 36-month results.

OBJECTIVES: The study continues our longitudinal observation of wear aiming to further monitoring of progression and lesion morphology and to identify relationships with assumed aetiological factors. MATERIALS AND METHODS: Molars (FDI #36 or #46) of 74 participants (23.8 ± 2.2 years) were scanned (Trios 3, 3Shape) at the third follow-up (T3; observation period 1,111 ± 10 days). Data sets from T3, T2 (24-month follow-up) and T1 (12-month follow-up) were superimposed with baseline in a 3D analysis software (GOM Inspect). Wear was quantified as maximum vertical tissue loss (µm; median, 95% CI) in various occlusal areas (4/5 cusps and 2 ridges). Morphologies were classified into cupping (C), facet (F), and combined cupping-facet (CF). Aetiological factors were assessed with questionnaires. RESULTS: Wear increased at T3 significantly at low rates in all areas of the occlusal surface (median between 7.0 (4.0;10.5) and 9.5 (6.0;15.0) µm). There was a clear trend for higher loss values in males, but no association with other factors such as nutrition. C and CF showed significantly higher loss values than F. Areas without initial wear developed F first, which either persisted or developed into C and CF. CONCLUSIONS: Wear continued at low rates with C/CF morphology and sex as significant factors. Cupped lesions seem to develop from facets and thus may not be a valid diagnostic criterion for erosive tooth wear. CLINICAL RELEVANCE: Wear is a cumulative process that apparently follows complex mechanisms that cannot be conceptualized in simplified terms; C and CF may be indicators for higher progression rates.

Chinese older adults' prior-to-death disability profiles and their correlates.

BACKGROUND: Disability prior to death complicates end-of-life care. The present study aimed to explore the prior-to-death disability profiles of Chinese older adults, the profiles' links to end-of-life care arrangements and place of death, and predictors of the profiles. METHODS: In total, data were extracted from the records of 10,529 deceased individuals from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Latent profile analyses, bivariate analysis, and multivariate logistic regression were applied to identify prior-to-death disability profiles, explore the profiles' links to end-of-life care arrangements and place of death, and examine predictors in the profiles, respectively. RESULTS: Three prior-to-death disability profiles, namely, Disabled-Incontinent (37.6%), Disabled-Continent (34.6%), and Independent (27.8%), were identified. Those with the Independent profile were more likely to live alone or with a spouse and receive no care or care only from the spouse before death. Disabled-Continent older adults had a higher chance of dying at home. Being female, not "married and living with a spouse", suffering from hypertension, diabetes, stroke or cerebrovascular disease (CVD), bronchitis/emphysema/pneumonia, cancer, or dementia, and dying in a later year were associated with more severe prior-to-death disability patterns. Not having public old-age insurance predicted lower chances of having a Disabled-Incontinent profile, and advanced age increased the chance of having a Disabled-Continent profile. CONCLUSIONS: Three prior-to-death disability patterns were identified for Chinese adults aged 65 years and older. These profiles were significantly linked with the end-of-life caregiving arrangements and place of death among older adults. Both demographic information and health status predicted prior-to-death disability profiles.

Low grip strength and gait speed as markers of dependence regarding basic activities of daily living: the FIBRA study.

OBJECTIVE: Marincolo et al. showed that older adults without limitations in basic activities of daily living at baseline presented with an 11.7% concomitant presence of functional dependence, slow gait speed, and low muscle strength at follow-up. Slow gait speed remains a predictor of dependence in basic activities of daily living. To determine whether low muscle strength and low gait speed increase the risk of disability related to basic activities of daily living in community-dwelling older adults. METHODS: A longitudinal study (9 years of follow-up) was conducted with 390 older adults who were independent in basic activities of daily living at baseline and answered the Katz Index at follow-up. Associations were determined using Pearson's χ2 test with a 5% significance level and logistic regression analysis. RESULTS: Increases in prevalence between baseline and follow-up were observed for low muscle strength (17.5%-38.2%), slow gait speed (26.0%-81.1%), and functional dependence (10.8%-26.6%). At follow-up, 11.7% of the participants had concomitant functional dependence, slow gait speed, and low muscle strength. Slow gait speed remained a predictor of dependence in basic activities of daily living (odds ratio=1.90; 95% confidence interval=1.06-3.41). CONCLUSION: Slow gait speed is a predictor of functional dependence, constituting an important variable for screening functional decline.

Circulating HMGB1 in acute ischemic stroke and its association with post-stroke cognitive impairment.

Background: Ischemic stroke frequently leads to a condition known as post-stroke cognitive impairment (PSCI). Timely recognition of individuals susceptible to developing PSCI could facilitate the implementation of personalized strategies to mitigate cognitive deterioration. High mobility group box 1 (HMGB1) is a protein released by ischemic neurons and implicated in inflammation after stroke. Circulating levels of HMGB1 could potentially serve as a prognostic indicator for the onset of cognitive impairment following ischemic stroke. Objective: To investigate the predictive value of circulating HMGB1 concentrations in the acute phase of ischemic stroke for the development of cognitive dysfunction at the 3-month follow-up. Methods: A total of 192 individuals experiencing their initial episode of acute cerebral infarction were prospectively recruited for this longitudinal investigation. Concentrations of circulating HMGB1 were quantified using an enzyme-linked immunosorbent assay (ELISA) technique within the first 24 hours following hospital admission. Patients underwent neurological evaluation including NIHSS scoring. Neuropsychological evaluation was conducted at the 3-month follow-up after the cerebrovascular event, employing the Montreal Cognitive Assessment (MoCA) as the primary tool for assessing cognitive performance. Multivariable logistic regression models were employed to investigate the relationship between circulating HMGB1 concentrations and cognitive dysfunction following stroke, which was operationalized as a MoCA score below 26, while controlling for potential confounders including demographic characteristics, stroke severity, vascular risk factors, and laboratory parameters. Results: Of 192 patients, 84 (44%) developed PSCI. Circulating HMGB1 concentrations were significantly elevated in individuals who developed cognitive dysfunction following stroke compared to those who maintained cognitive integrity (8.4 ± 1.2 ng/mL vs 4.6 ± 0.5 ng/mL, respectively; p < 0.001). The prevalence of PSCI showed a dose-dependent increase with higher HMGB1 quartiles. After controlling for potential confounders such as demographic factors (age, gender, and education), stroke severity, vascular risk factors, and laboratory parameters in a multivariable logistic regression model, circulating HMGB1 concentrations emerged as a significant independent predictor of cognitive dysfunction following stroke (regression coefficient = 0.236, p < 0.001). Conclusion: Circulating HMGB1 concentrations quantified within the first 24 hours following acute cerebral infarction are significantly and independently correlated with the likelihood of developing cognitive dysfunction at the 3-month follow-up, even after accounting for potential confounding factors. HMGB1 may be a novel biomarker to identify patients likely to develop post-stroke cognitive impairment for targeted preventive interventions.

Exploring the association between Frailty Index and low back pain in middle-aged and older Chinese adults: a cross-sectional analysis of data from the China Health and Retirement Longitudinal Study (CHARLS).

OBJECTIVES: This study explored the association between the Frailty Index (FI) and low back pain (LBP) in middle-aged and older Chinese adults. We hypothesised that a higher FI correlates with increased LBP prevalence. DESIGN: Cross-sectional analysis. SETTING: The study used data from the China Health and Retirement Longitudinal Study (CHARLS) across various regions of China. PARTICIPANTS: The analysis included 6375 participants aged 45 and above with complete LBP and FI data from the CHARLS for 2011, 2013 and 2015. We excluded individuals under 45, those with incomplete LBP data, participants with fewer than 30 health deficit items and those missing covariate data. OUTCOME MEASURES: We constructed an FI consisting of 35 health deficits. Logistic multivariable regression examined the relationship between FI and LBP, using threshold analysis to identify inflection points. Sensitivity analyses were performed to ensure the robustness of the findings. RESULTS: Of the participants, 27.2% reported LBP. A U-shaped association was observed between FI and LBP, with the highest quartile (Q4, FI ≥0.23) showing more than a twofold increased risk of LBP (OR=2.90, 95% CI: 2.45-3.42, p<0.001). Stratified analysis showed a significant association in participants under 60, particularly in the lowest FI quartile (OR=1.43, 95% CI: 1.14 to 1.79). Sensitivity analysis upheld the robustness of the primary results. CONCLUSIONS: The findings suggest a complex relationship between frailty and LBP, highlighting the need for early screening and tailored interventions to manage LBP in this demographic. Further research is necessary to understand the mechanisms of this association and to validate the findings through longitudinal studies.

Longitudinal viral shedding and antibody response characteristics of men with acute infection of monkeypox virus: a prospective cohort study.

Understanding of infection dynamics is important for public health measures against monkeypox virus (MPXV) infection. Herein, samples from multiple body sites and environmental fomites of 77 acute MPXV infections (HIV co-infection: N = 42) were collected every two to three days and used for detection of MPXV DNA, surface protein specific antibodies and neutralizing titers. Skin lesions show 100% positivity rate of MPXV DNA, followed by rectum (88.16%), saliva (83.78%) and oropharynx (78.95%). Positivity rate of oropharynx decreases rapidly after 7 days post symptom onset (d.p.o), while the rectum and saliva maintain a positivity rate similar to skin lesions. Viral dynamics are similar among skin lesions, saliva and oropharynx, with a peak at about 6 d.p.o. In contrast, viral levels in the rectum peak at the beginning of symptom onset and decrease rapidly thereafter. 52.66% of environmental fomite swabs are positive for MPXV DNA, with highest positivity rate (69.89%) from air-conditioning air outlets. High seropositivity against A29L (100%) and H3L (94.74%) are detected, while a correlation between IgG endpoint titers and neutralizing titers is only found for A29L. Most indexes are similar between HIV and Non-HIV participants, while HIV and rectitis are associated with higher viral loads in rectum.

Capability to identify and manage critical conditions: effects of an interprofessional training intervention.

BACKGROUND: The burden of critical illness is a global issue. Healthcare systems often fail to provide essential emergency and critical care for deteriorating patients, and the optimal strategy for ensuring safe care is not fully known. This study aimed to explore the capability to identify and manage critical conditions and to evaluate how an interprofessional training intervention that included theory as well as high-fidelity simulation (proACT) in the short and long term affected the capability. METHODS: A questionnaire study was performed. A cross-sectional survey of all in-hospital nurses and physicians in a Swedish region (n538) and a longitudinal cohort of participants entering the proACT course during a six-month period (n99) were included. Descriptive and comparative statistics were generated. Additionally, qualitative content analysis was performed for free text answers. RESULTS: The findings demonstrated that the intervention improved the individual healthcare professionals' competence with a sustained effect over time. The coverage of proACT trained staff increased from 13.2% to 26.5%, but no correlation was observed with workplace conditions that support safe care. Collaboration and workplace climate were perceived to be mainly positive, but for safer care, an overall need for improved competence and staffing was emphasized. CONCLUSIONS: The present study confirms previously identified issues and the need for improvements in the care of critically ill patients in general hospital wards. It supports the notion that a training intervention, such as proACT, can increase the capability to identify and manage patients with critical conditions. All healthcare professions increased the competence. Hence, more effort is needed to enable staff of all professions to participate in such training. Studies of interventions cover higher number of trained staff in the setting are warranted to clarify whether the training can also improve workplace conditions that support safe care of deteriorating and critically ill patients.

Learning semi-supervised enrichment of longitudinal imaging-genetic data for improved prediction of cognitive decline.

BACKGROUND: Alzheimer's Disease (AD) is a progressive memory disorder that causes irreversible cognitive decline. Given that there is currently no cure, it is critical to detect AD in its early stage during the disease progression. Recently, many statistical learning methods have been presented to identify cognitive decline with temporal data, but few of these methods integrate heterogeneous phenotype and genetic information together to improve the accuracy of prediction. In addition, many of these models are often unable to handle incomplete temporal data; this often manifests itself in the removal of records to ensure consistency in the number of records across participants. RESULTS: To address these issues, in this work we propose a novel approach to integrate the genetic data and the longitudinal phenotype data to learn a fixed-length "enriched" biomarker representation derived from the temporal heterogeneous neuroimaging records. Armed with this enriched representation, as a fixed-length vector per participant, conventional machine learning models can be used to predict clinical outcomes associated with AD. CONCLUSION: The proposed method shows improved prediction performance when applied to data derived from Alzheimer's Disease Neruoimaging Initiative cohort. In addition, our approach can be easily interpreted to allow for the identification and validation of biomarkers associated with cognitive decline.

Evaluation of depressive and anxiety symptoms in childhood-onset systemic lupus erythematosus: Frequency, course, and associated risk factors.

BACKGROUND: Depressive and anxiety symptoms are common in childhood-onset systemic lupus erythematosus (cSLE), yet their etiology and course remain unclear. We investigated the frequency of depressive and anxiety symptoms longitudinally in youth with cSLE, and associated socio-demographic and disease factors. METHODS: Participants 8-18 years with cSLE completed baseline measures [demographic questionnaire, Center for Epidemiologic Studies Depression Scale for Children (CES-DC), Screen for Childhood Anxiety Related Disorders (SCARED), and psychiatric interview] and follow-up measures (CES-DC and SCARED) > 6 months later. Prevalence of clinically significant depressive (score >15 on CES-DC) or anxiety symptoms (score ≥25 on SCARED) was calculated at baseline and follow-up. Baseline psychiatric interview diagnoses were tabulated. Relationships between socio-demographics (neighborhood-level material deprivation, ethnic concentration, adverse childhood event history, psychiatric condition in a first-degree relative), disease-related factors (disease duration, major organ disease, disease activity, glucocorticoid use, comorbid medical condition) and baseline depressive and anxiety scores, were examined in linear regression models. Factors with univariate associations with p < 0.2 were included in multivariable adjusted models. RESULTS: At baseline, of 51 participants with a mean disease duration of 4.3 years (SD 2.7), 35% (n = 18) and 35% (n = 18) had clinically significant depressive and anxiety symptoms, respectively. Anxiety disorder was diagnosed by psychiatric interview in 14% (n = 7), depressive disorders in 6% (n = 3), and post-traumatic stress disorder in 4% (n = 2). Adverse childhood events and first-degree relative with psychiatric condition were present in 40% (n = 20) and 37% (n = 18), respectively. In multivariable regression analysis, baseline depressive symptoms were positively correlated with neighbourhood-level material deprivation (ß = 4.2, 95% CI [1.0, 7.3], p = 0.01) and psychiatric condition in a first-degree relative (ß = 7.3, 95% CI [2.2, 12.4], p = 0.006). No associations were found between baseline anxiety scores and patient factors. At a median follow-up of 13.5 months (IQR 10.5, 18) for CES-DC (n = 34) and SCARED (n = 44), depressive and anxiety symptoms were persistent (18%, n = 6; 16%, n = 7), and newly present (24%, n = 8; 16% n = 7) at follow-up. CONCLUSION: In this sample, depressive and anxiety symptoms were prevalent and persistent. Depressive symptoms correlated with neighborhood-level material deprivation, and family psychiatric history. These findings support routine psychosocial assessment in cSLE, and provision of appropriate resources.

Chest Radiograph Screening for Detecting Subclinical Tuberculosis in Asymptomatic Household Contacts, Peru.

The World Health Organization's end TB strategy promotes the use of symptom and chest radiograph screening for tuberculosis (TB) disease. However, asymptomatic early states of TB beyond latent TB infection and active disease can go unrecognized using current screening criteria. We conducted a longitudinal cohort study enrolling household contacts initially free of TB disease and followed them for the occurrence of incident TB over 1 year. Among 1,747 screened contacts, 27 (52%) of the 52 persons in whom TB subsequently developed during follow-up had a baseline abnormal radiograph. Of contacts without TB symptoms, persons with an abnormal radiograph were at higher risk for subsequent TB than persons with an unremarkable radiograph (adjusted hazard ratio 15.62 [95% CI 7.74-31.54]). In young adults, we found a strong linear relationship between radiograph severity and time to TB diagnosis. Our findings suggest chest radiograph screening can extend to detecting early TB states, thereby enabling timely intervention.

Longitudinal study on the trajectory and influencing factors of cognitive dysfunction in lung transplantation patients.

INTRODUCTION: Lung transplantation is an effective method for treating end-stage lung disease. It prolongs the survival time of patients, improves the quality of life, and prevents the degree of mental disability. In particular, postoperative cognitive dysfunction (POCD) is one of the complications after lung transplantation. Despite this, longitudinal studies on the identification and heterogeneity of cognitive dysfunction subgroup trajectories in transplant patients are lacking. Therefore, our study aimed to evaluate the factors that influence POCD in lung transplant patients. METHODS: This prospective longitudinal study included patients who underwent lung transplantation at the transplant center of Wuxi People's Hospital from September 2022 to September 2023. Patients with lung transplants were evaluated at 8 days (T1), 1 month (T2), 3 months (T3), and 6 months (T4) after the operation. The general information questionnaire evaluated cognitive functions using the Montreal Cognitive Assessment (MoCA) numerical rating scale (NRS) and the digital pain assessment to obtain the POCD values. Latent category growth model (LCGM) analysis was used to identify heterogeneous POCD subgroups in the four observation periods. Univariate and logistic regression analyses were used to identify factors affecting POCD classification and independent risk factors. RESULTS: Based on clinical outcomes, 79 patients completed all four surveys, of whom 16 were lost during the follow-up period (loss rate, 16.8%). The cognitive function by MoCA NRS score was 14.18 ± 5.32 points on day 8 (T1), 22.51 ± 5.13 points at 1 month (T2), 25.44 ± 3.61 at 3 months (T3), and 27.04 ± 3.03 points at 6 months (T4) after lung transplantation, showing an increasing trend. The LCGM, used to fit the trajectory of MoCA scores, observed a heterogeneous trajectory of changes in lung transplant patients. Based on this analysis, patients could be divided into two categories: those with high risk (25,32%) and those with low risk (54,68%). The single-factor analysis identified that POCD values were affected by early postoperative rehabilitation exercise, degree of pain, intensive care unit (ICU) stay time, and donor lung cold ischemia time (all P < 0.05). Using the low-risk group as the reference class, logistic regression analysis showed that the model could correctly classify the subjects. CONCLUSION: Our 6-month observation of lung transplant patients showed that the degree of cognitive dysfunction had an overall downward trend and that patients could be divided into two trajectories of high and low risk for POCD. Early postoperative rehabilitation exercise, degree of pain, ICU stay time, and donor lung cold ischemia time were all influencing factors for POCD in lung transplant patients.

Value of combining biological age with assessment of individual frailty to optimize management of cancer treated with targeted therapies: model of chronic myeloid leukemia treated with tyrosine kinase inhibitors (BIO-TIMER trial).

BACKGROUND: In the era of targeted therapies, the influence of aging on cancer management varies from one patient to another. Assessing individual frailty using geriatric tools has its limitations, and is not appropriate for all patients especially the youngest one. Thus, assessing the complementary value of a potential biomarker of individual aging is a promising field of investigation. The chronic myeloid leukemia model allows us to address this question with obvious advantages: longest experience in the use of tyrosine kinase inhibitors, standardization of therapeutic management and response with minimal residual disease and no effect on age-related diseases. Therefore, the aim of the BIO-TIMER study is to assess the biological age of chronic myeloid leukemia or non-malignant cells in patients treated with tyrosine kinase inhibitors and to determine its relevance, in association or not with individual frailty to optimize the personalised management of each patient. METHODS: The BIO-TIMER study is a multi-center, prospective, longitudinal study aiming to evaluate the value of combining biological age determination by DNA methylation profile with individual frailty assessment to personalize the management of chronic myeloid leukemia patients treated with tyrosine kinase inhibitors. Blood samples will be collected at diagnosis, 3 months and 12 months after treatment initiation. Individual frailty and quality of life will be assess at diagnosis, 6 months after treatment initiation, and then annually for 3 years. Tolerance to tyrosine kinase inhibitors will also be assessed during the 3-year follow-up. The study plans to recruit 321 patients and recruitment started in November 2023. DISCUSSION: The assessment of individual frailty should make it possible to personalize the treatment and care of patients. The BIO-TIMER study will provide new data on the role of aging in the management of chronic myeloid leukemia patients treated with tyrosine kinase inhibitors, which could influence clinical decision-making. TRIAL REGISTRATION: ClinicalTrials.gov , ID NCT06130787; registered on November 14, 2023.

Assessing basic motor competences, physical fitness, and executive function in 4-5-year-old children: a longitudinal study in a primary care setting.

BACKGROUND: To evaluate the progression of physical fitness (PF), basic motor competence (BMC), and executive function (EF) over one year in children aged 4-5 years at a health center. METHODS: In this longitudinal analysis, children's BMC was evaluated using the MOBAK KG test for object and self-movement. The PREFIT Battery gauged PF through handgrip strength, standing long jump, and other fitness measures, while the Early Years Toolbox appraised EF. RESULTS: Adjustments for confounding factors showed notable improvements in BMC, particularly in object movement (OM; mean difference 0.789, p = 0.044) and self-movement (SM; mean difference 0.842, p = 0.037), with overall MOBAK scores also increasing (mean difference 1.632, p = 0.018). Enhancements in the standing long jump (mean difference 9.036 cm, p = 0.014) and EF tasks "Mr. Ant" (mean difference 0.669, p < 0.001) and "Go/No-Go" (mean difference 0.120, p < 0.001) were evident, signifying substantial BMC gains and some progress in PF and EF. CONCLUSION: This research underscores the positive impact of regular training on BMC and PF in young children. Significant BMC development and associated improvements in PF and EF over the study period highlight the importance of structured activities in early childhood. These findings advocate for standardized training programs to enhance childhood health and encourage active lifestyles. TRIAL REGISTRATION: NCT05741879. Registered February 14, 2023, Version 1.

The impact of social participation on Subjective Wellbeing in the older adult: the mediating role of anxiety and the moderating role of education.

Introduction: The study aims to examine the mediating role of anxiety in the relationship between social participation and Subjective Wellbeing among Chinese older adults. Additionally, it investigates the moderating ed of education in this relationship. Methods: The data came from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) published by peking University, with a sample size of 10,626 individuals aged 60 years and above. SPSS 21.0 was used for the statistical analysis of the data, and Mplus 8.0 was used for the statistical processing of the mediating and moderating effects analysis. Results: (1) The social participation significantly and positively predicated Subjective Wellbeing; (2) Anxiety partially mediated the eect between social participation and Subjective Wellbeing. The mediating eect value was 0.103; (3) Education plays a moderating role in the impact of social participation on subjective Wellbeing. Discussion: In summary, social participation can reduce the anxiety and enhance their Subjective Wellbeing. Meanwhile, the eet of social participation on Subjective Wellbeing was the greatest for the older adult with high education. The findings suggest that community-led activities can be initiated to improve social participation in the older adult. Furthermore, educational courses could be to support the healthy aging of older adults in China.

Multimorbidity patterns and trajectories in young and middle-aged adults: a large-scale population-based cohort study.

Introduction: The presence of multiple chronic conditions, also referred to as multimorbidity, is a common finding in adults. Epidemiologic research can help identify groups of individuals with similar clinical profiles who could benefit from similar interventions. Many cross-sectional studies have revealed the existence of different multimorbidity patterns. Most of these studies were focused on the older population. However, multimorbidity patterns begin to form at a young age and can evolve over time following distinct multimorbidity trajectories with different impact on health. In this study, we aimed to identify multimorbidity patterns and trajectories in adults 18-65 years old. Methods: We conducted a retrospective longitudinal epidemiologic study in the EpiChron Cohort, which includes all inhabitants of Aragón (Spain) registered as users of the Spanish National Health System, linking, at the patient level, information from electronic health records from both primary and specialised care. We included all 293,923 patients 18-65 years old with multimorbidity in 2011. We used cluster analysis at baseline (2011) and in 2015 and 2019 to identify multimorbidity patterns at four and eight years of follow-up, and we then created alluvial plots to visualise multimorbidity trajectories. We performed age- and sex-adjusted logistic regression analysis to study the association of each pattern with four- and eight-year mortality. Results: We identified three multimorbidity patterns at baseline, named dyslipidaemia & endocrine-metabolic, hypertension & obesity, and unspecific. The hypertension & obesity pattern, found in one out of every four patients was associated with a higher likelihood of four- and eight-year mortality (age- and sex-adjusted odds ratio 1.11 and 1.16, respectively) compared to the unspecific pattern. Baseline patterns evolved into different patterns during the follow-up. Discussion: Well-known preventable cardiovascular risk factors were key elements in most patterns, highlighting the role of hypertension and obesity as risk factors for higher mortality. Two out of every three patients had a cardiovascular profile with chronic conditions like diabetes and obesity that are linked to low-grade systemic chronic inflammation. More studies are encouraged to better characterise the relatively large portion of the population with an unspecific disease pattern and to help design and implement effective and comprehensive strategies towards healthier ageing.

Characterizing Longitudinal Patterns in Cognition, Mood, And Activity in Depression With 6-Week High-Frequency Wearable Assessment: Observational Study.

BACKGROUND: Cognitive symptoms are an underrecognized aspect of depression that are often untreated. High-frequency cognitive assessment holds promise for improving disease and treatment monitoring. Although we have previously found it feasible to remotely assess cognition and mood in this capacity, further work is needed to ascertain the optimal methodology to implement and synthesize these techniques. OBJECTIVE: The objective of this study was to examine (1) longitudinal changes in mood, cognition, activity levels, and heart rate over 6 weeks; (2) diurnal and weekday-related changes; and (3) co-occurrence of fluctuations between mood, cognitive function, and activity. METHODS: A total of 30 adults with current mild-moderate depression stabilized on antidepressant monotherapy responded to testing delivered through an Apple Watch (Apple Inc) for 6 weeks. Outcome measures included cognitive function, assessed with 3 brief n-back tasks daily; self-reported depressed mood, assessed once daily; daily total step count; and average heart rate. Change over a 6-week duration, diurnal and day-of-week variations, and covariation between outcome measures were examined using nonlinear and multilevel models. RESULTS: Participants showed initial improvement in the Cognition Kit N-Back performance, followed by a learning plateau. Performance reached 90% of individual learning levels on average 10 days after study onset. N-back performance was typically better earlier and later in the day, and step counts were lower at the beginning and end of each week. Higher step counts overall were associated with faster n-back learning, and an increased daily step count was associated with better mood on the same (P<.001) and following day (P=.02). Daily n-back performance covaried with self-reported mood after participants reached their learning plateau (P=.01). CONCLUSIONS: The current results support the feasibility and sensitivity of high-frequency cognitive assessments for disease and treatment monitoring in patients with depression. Methods to model the individual plateau in task learning can be used as a sensitive approach to better characterize changes in behavior and improve the clinical relevance of cognitive data. Wearable technology allows assessment of activity levels, which may influence both cognition and mood.

Interventional analytics in skilled nursing facilities associated with reduced readmissions.

OBJECTIVE: To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states. STUDY DESIGN: Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data. METHODS: CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively. RESULTS: LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022. CONCLUSIONS: SNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.