Sauver, Jennifer L. St.

AbstractBackgroundPeople living with dementia have high rates of emergency department (ED) use and hospitalizations. Identifying factors that influence acute care utilization is important. We examined the influence of physical activity levels on risk of hospitalization and emergency department (ED) use in a population of older people living with mild cognitive impairment (MCI) or dementia.MethodsWe included people with a diagnosis of MCI or dementia followed in Community Internal Medicine at Mayo Clinic, age 55 years and older, who had a clinic visit between June 1, 2019 and June 30, 2021 and had completed a social determinants of health questionnaire about physical activity levels. Physical activity was classified based on responses to questions about time spent exercising per week and rated as sufficiently active (≥150 minutes per week), insufficiently active (10‐140 minutes) or physically inactive (0 minutes). The risk of hospitalization and ED visits across physical activity levels was examined using quasi‐Poisson regression and presented as rate ratios (95% confidence interval (CI)), with adjustment for demographics, Charlson Comorbidity Index, marital status, living arrangement and body mass index.ResultsA total of 3090 persons living with MCI (n = 1308) or dementia (n = 1782) were included. People who were physically inactive were more likely to be older, female, not married, obese, have higher comorbid burden and a dementia diagnosis (p<0.001). Hospitalization and ED visit rates in those who were physically inactive were approximately double the rates for the sufficiently active group (p<0.001). Compared with those who were sufficiently active, people who were physically inactive had a significantly higher risk of hospitalization (rate ratio 1.73, 95% CI 1.30‐2.31) and ED visits (rate ratio 1.59, 95% CI 1.26‐2.01).ConclusionsPhysical inactivity in older people living with MCI or dementia is associated with an increased risk of ED visits and hospitalization. Targeted physical activity interventions could potentially impact on acute care utilization in this population. Our findings emphasize an area for public health promotion in people living with MCI or dementia.

Abstract Objectives The aims of the study were to identify conditions diagnosed in at least 10% of midlife women living in the US upper midwest and to assess prevalence by age, race, ethnicity, and sociodemographic status. Methods The Rochester Epidemiology Project was used to conduct a cross-sectional prevalence study of 86,946 women between 40 and 59 years residing in a 27-county region of the United States on January 1, 2020. Diagnostic billing codes were extracted and grouped into broader condition categories using the Clinical Classification System Refined. The prevalence of 424 conditions was calculated by age, race, ethnicity, and area deprivation index quartiles. Logistic regression was used to examine associations between participant characteristics and conditions that affected 10% or more of the study population. Results Twenty-eight conditions affected ≥10% of women, and eight conditions increased by ≥45% between the ages of 40 and 59 (disorders of lipid metabolism, hypertension, sleep/wake disorders, thyroid disorders, esophageal disorders, osteoarthritis, tendon and synovial disorders, and menopausal disorders; all test for trend P < 0.01). Black women had a significantly higher prevalence of hypertension and esophageal disorders at all ages (adjusted P values <0.05). Women living in more deprived areas had a significantly higher prevalence of hyperlipidemia, hypertension, sleep/wake disorders, and esophageal disorders (adjusted P values <0.05). Women living in less deprived areas had a significantly higher prevalence of thyroid disorders at age 40 to 44 and menopausal disorders at ages 50 to 59 (adjusted P values <0.05). Conclusions These data suggest that additional attention should focus on Black women and women with a lower socioeconomic status to ensure that common midlife conditions are diagnosed and treated.

Introduction: Living in an area with high Area Deprivation Index (ADI) is linked to worse cardiovascular disease (CVD) outcomes. However, the association of ADI with type 2 diabetes (T2D), a major CVD risk factor, is incompletely described. This knowledge may guide primary CVD prevention. Method: Rochester Epidemiology Project is a medical record linkage system of persons in southeast Minnesota and southwest Wisconsin. We identified 253,890 persons (aged 4–98 yrs on July 1, 2015) in 9 counties with >90% population coverage. ADI scores, from 2015 home addresses, were grouped into quartiles of low (Q1) to high (Q4) deprivation. We excluded persons with type 1 diabetes (T1D) or history of T2D and identified new T2D cases (2015-2020) using ICD codes, HbA1c and medications. We examined the association between ADI quartile and risk of incident T2D using Cox regression with persons right censored at death, T2D, T1D or last visit. Models were adjusted for age and gender, and reported adjusted hazard ratios (aHR [95% confidence interval]). Results: Age, gender, and race statistically differed across ADI quartiles (Table). Age × ADI interaction was significant ( P <.001). T2D incidence ranged from 6.3 (Q1) to 9.0 (Q4) per 1000 person-years ( P <.001). Women vs. men/non-binary persons (combined due to limited non-binary persons) had 30% lower risk of incident T2D (aHR 0.70 [0.67–0.72]). Risk of incident T2D was higher in persons from higher ADI areas. At median age of 48.6 yrs, the risk was 30% higher in Q2 (aHR 1.3 [1.22–1.38]), 38% higher in Q3 (aHR 1.38 [1.30–1.47]) and 53% higher in Q4 (aHR 1.53 [1.43–1.62]) vs. Q1. Higher ADI was associated with higher incident T2D in younger persons, with risk attenuation with increasing age (Figure). Conclusion: In this population cohort, persons, particularly of younger age, living in more deprived areas had a higher risk of incident T2D. ADI may help identify areas for targeted T2D screening, with implications for CVD screening and prevention.

Abstract 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 &lt; .05). These results highlight the influence of body mass index on circulating concentrations of senescence biomarkers.

People living with dementia have high rates of hospitalizations. Identifying factors that influence hospitalization is important. This study examines the influence of physical activity levels on risk of hospitalization and emergency department (ED) use among older people living with mild cognitive impairment (MCI) or dementia followed in our primary care practice in Rochester, Minnesota, United States. We included those age 55 years and older, who had a clinic visit between June 1, 2019 and June 30, 2021 and completed a social determinants of health questionnaire about physical activity levels ( n = 3090). Physical activity was classified as sufficiently active, insufficiently active, or physically inactive. Risk of hospitalization and ED visits by physical activity levels were examined. People who were physically inactive were at higher risk of hospitalization and ED visits ( p < .001) compared with those who were sufficiently active. This highlights an area for health promotion in people living with MCI and dementia.

Abstract Background and Objectives Social isolation is commonly experienced by older people and is associated with adverse health outcomes. Little is known about the influence of social isolation on the risk of acute care utilization among people living with mild cognitive impairment (MCI) or dementia. Our objective was to investigate the impact of social isolation on the risk of death, hospitalization, and emergency department (ED) use among people living with MCI or dementia who are followed in our Community Internal Medicine practice at Mayo Clinic, Rochester, Minnesota. Research Design and Methods We included people living with MCI or dementia, 55 years and older, who had a clinic visit between June 1, 2019, and June 30, 2021, and who had completed questions about social connections. The risk of death, hospitalization, and ED use was examined by levels of social connection (socially isolated, moderately isolated, moderately integrated, or socially integrated). Results Of 2,320 people included (1,010 with MCI and 1,310 with dementia), 455 (19.6%) were classified as socially isolated and 591 (25.5%) were moderately isolated. Compared with those who were socially integrated, people who were socially isolated were at higher risk of death, hospitalization, and ED visits (p &lt; .001). Discussion and Implications Social isolation is associated with an increased risk of acute health care utilization and death in people living with MCI or dementia. Interventions to address social isolation in this population are needed.

Objective To identify the optimal incentive protocol for maximising participation while managing study costs during the Voyage trial. Design Prospective cohort (Voyage trial) of colorectal cancer (CRC) incidence and mortality outcomes in individuals screened with multitarget stool DNA (mt-sDNA) served as the population. A subset was randomised to receive postage stamps as a pre-consent incentive, or as a post-consent incentive after completion of the consent and questionnaire. Descriptive statistics from year 1 are reported. Results During year 1 of the Voyage trial, a total of 600 258 individuals with mt-sDNA orders received at Exact Sciences Laboratories were randomly selected and invited to participate. Of those, 26 429 (4.4%) opted in, 14 365 of whom (54.3%) consented. The opt-in and consent samples were similar to the target population with respect to sex but differed by geographic residence and age (p<0.001). For the embedded incentive experiment, 2333 were randomised to the pre-incentive arm, while 2342 were randomised to the post-incentive arm. Overall consent rate in the incentive trial was 56.4% (60.9% for the pre-consent incentive arm (1421/2333) vs 52.0% for the post-consent incentive arm (1217/2342), p<0.001). Cost reduction was observed for the pre-consent incentive group, and higher response rates were seen among older versus younger individuals. Conclusions Pre-consent incentive option was associated with a higher participation rate and lower costs and was used for the remainder of study recruitment. CRC incidence and mortality vary with age; thus, adjusting for differential participation by age and region will be important in analyses of Voyage data. Trial registration number NCT04124406.

Objectives Primary human papillomavirus (HPV) testing by clinician-collection is endorsed by U.S. guideline organizations for cervical cancer screening, but uptake remains low and insights into patients’ understanding are limited. This study aims to primarily address patient awareness of primary HPV screening by clinician-collection and acceptance of primary HPV screening by clinician- and self-collection, and secondarily assess factors associated with awareness and acceptance. Setting Primary care practices affiliated with an academic medical center. Methods A cross-sectional survey study of screening-eligible women aged 30–65 years was conducted to assess awareness and acceptability of primary HPV screening. We analyzed bivariate associations of respondent characteristics with awareness of primary HPV screening by clinician-collection, willingness to have clinician- or self-collected primary HPV testing, and reasons for self-collection preference. Results Respondents (n = 351; response rate = 23.4%) reported cervical cancer screening adherence of 82.8% but awareness of clinician-collected primary HPV as an option was low (18.9%) and only associated with HPV testing with recent screening ( p = 0.003). After reviewing a description of primary HPV screening, willingness for clinician-collected (81.8%) or home self-collected (76.1%) HPV testing was high, if recommended by a provider. Acceptability of clinician-collected HPV testing was associated with higher income ( p = 0.009) and for self-collection was associated with higher income ( p = 0.002) and higher education ( p = 0.02). Higher education was associated with reporting self-collection as easier than clinic-collection ( p = 0.02). Women expected self-collection to be more convenient (94%), less embarrassing (85%), easier (85%), and less painful (81%) than clinician-collection. Conclusions Educational interventions are needed to address low awareness about the current clinician-collected primary HPV screening option and to prepare for anticipated federal licensure of self-collection kits. Informing women about self-collection allows them to recognize benefits which could address screening barriers.

Abstract Background Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic factors contributing to their occurrence, and the identification of underlying causes to refine the NLP model and improve its performance. Conducting error analysis can be complex, requiring a combination of NLP expertise and domain-specific knowledge. Due to the high heterogeneity of electronic health record (EHR) settings across different institutions, challenges may arise when attempting to standardize and reproduce the error analysis process. Objectives This study aims to facilitate a collaborative effort to establish common definitions and taxonomies for capturing diverse error types, fostering community consensus on error analysis for clinical concept extraction tasks. Materials and Methods We iteratively developed and evaluated an error taxonomy based on existing literature, standards, real-world data, multisite case evaluations, and community feedback. The finalized taxonomy was released in both .dtd and .owl formats at the Open Health Natural Language Processing Consortium. The taxonomy is compatible with several different open-source annotation tools, including MAE, Brat, and MedTator. Results The resulting error taxonomy comprises 43 distinct error classes, organized into 6 error dimensions and 4 properties, including model type (symbolic and statistical machine learning), evaluation subject (model and human), evaluation level (patient, document, sentence, and concept), and annotation examples. Internal and external evaluations revealed strong variations in error types across methodological approaches, tasks, and EHR settings. Key points emerged from community feedback, including the need to enhancing clarity, generalizability, and usability of the taxonomy, along with dissemination strategies. Conclusion The proposed taxonomy can facilitate the acceleration and standardization of the error analysis process in multi-site settings, thus improving the provenance, interpretability, and portability of NLP models. Future researchers could explore the potential direction of developing automated or semi-automated methods to assist in the classification and standardization of error analysis.