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Background: Deprescribing antihypertensives is of growing interest in geriatric medicine, yet the impact on functional status is unknown. We emulated a target trial of deprescribing antihypertensive medications compared with continued use on functional status measured by activities of daily living (ADL) in a long-term care population., Methods: We included 12,238 Veteran Affairs long-term care residents age 65+ who had a stay ≥ 12 weeks between 2006 and 2019. After 4+ weeks of stable antihypertensive medication use, residents were classified as either deprescribed antihypertensives (reduced ≥ 1 medication or ≥ 30% dose) or continued users. Residents were followed up for 2 years, or censored at discharge, admission to hospice, protocol deviation (per-protocol analysis only), or Sept 30, 2019. The outcome was ADL dependencies (scored 0-28; higher score = worse functionality), assessed approximately every 3 months. Our primary approach was to estimate per-protocol effects using linear mixed-effects regressions with inverse probability of treatment and censoring weighting, overall and stratified by dementia status. We estimated intention-to-treat effects as a secondary analysis., Results: In long-term care residents, ADL scores worsened by a mean of 0.29 points (95%CI = 0.27, 0.31) per 3 months and antihypertensive deprescribing did not impact this worsening (difference between groups -0.04 points every 3 months, 95%CI = -0.15, 0.06). In the non-dementia subgroup, ADL worsened by 0.15 points (95%CI = 0.11, 0.19) every 3 months. However, residents who were deprescribed showed a slightly improved ADL score over time while the continued users showed ADL decline (difference between groups -0.23 points every 3 months, 95%CI = -0.43, -0.03). Deprescribing was not associated with ADL change in the dementia subgroup. The intention-to-treat results were not meaningfully different., Conclusions: Antihypertensive deprescribing did not have a deleterious effect on functional status in long-term care residents with or without dementia. This may be reassuring to residents and clinicians who are considering antihypertensive medication reduction or discontinuation in long-term care settings., (© 2025 The American Geriatrics Society.)

Importance: The Walter Index is a widely used prognostic tool for assessing 12-month mortality risk among hospitalized older adults. Developed in the US in 2001, its accuracy in contemporary non-US contexts is unclear., Objective: To evaluate the external validity of the Walter Index in predicting posthospitalization mortality risk in Brazilian older adult inpatients., Design, Setting, and Participants: This prognostic study used data from a cohort of adults aged 70 years or older admitted to the geriatric unit of a university hospital in Brazil from January 1, 2009, to February 28, 2020. Participants underwent comprehensive geriatric assessments at admission, were reevaluated at discharge, and were subsequently followed up for 48 months. Data were analyzed from March to July 2024., Main Outcomes and Measures: The Walter Index, a score based on 6 risk factors (male sex, dependent activities of daily living at discharge, heart failure, cancer, high creatinine level, and low albumin level), was calculated to assess its predictive accuracy for 12-month mortality as well as 6-, 24-, and 48-month mortality. The study investigated whether incorporating delirium, frailty, or C-reactive protein level enhanced accuracy. Performance was assessed using discrimination, calibration, and clinical utility measures., Results: In total, 2780 participants (mean [SD] age, 81 [7] years; 1795 [65%] female) were included, with 89 (3%) lost to follow-up. The 12-month posthospitalization mortality rate was 23% (646 participants). Mortality was 7% (47 of 634) in the lowest-risk group (0-1 point), 17% (111 of 668) for 2 to 3 points, 25% (198 of 803) for 4 to 6 points, and 43% (290 of 675) in the highest-risk group (≥7 points). The index demonstrated an area under the receiver operating characteristic curve (AUC) of 0.714 (95% CI, 0.691-0.736) for predicting 12-month posthospitalization mortality (AUCs were 0.75 and 0.80 in the original derivation and validation cohorts, respectively). Comparable results were observed for mortality at 6 months (AUC, 0.726; 95% CI, 0.700-0.752), 24 months (AUC, 0.711; 95% CI, 0.691-0.730), and 48 months (AUC, 0.719; 95% CI, 0.700-0.738). Adding delirium modestly increased the index's discrimination (AUC, 0.723; 95% CI, 0.702-0.749); additionally including frailty and C-reactive protein level did not improve discrimination further (AUC, 0.723; 95% CI, 0.701-0.744)., Conclusions and Relevance: In this prognostic study of hospitalized older adults in Brazil, the Walter Index showed similar discrimination in predicting postdischarge mortality as it did 2 decades ago in the US. These findings highlight the need for continuous validation and potential modification of established prognostic tools to improve their applicability across settings.

Background: Older adults often require surgical care and are at elevated risk of delirium. We explored delirium risk profiles across the population of U.S. older adults who underwent one of 10 common noncardiac surgeries., Methods: We analyzed Health and Retirement Study (HRS) participants linked with Medicare billing data who underwent the following 10 noncardiac surgeries from 2000 to 2018 at age 65 or more: total knee arthroplasty (TKA), total hip arthroplasty (THA), spine surgery, cholecystectomy, colorectal surgery, hernia repair (ventral, umbilical, or incisional), endarterectomy, prostatectomy, transurethral resection of the prostate (TURP), and hysterectomy. Demographic and health covariates were obtained from the HRS dataset. Latent cognitive ability was calculated from cognitive testing, proxy reports, and demographics at the preoperative HRS interview. We compared standardized differences for delirium risk factors across the 10 surgeries and qualitatively clustered them into phenotypical subgroups., Results: We analyzed 7424 older adults (mean age 76 ± 6 years, 45% male). Endarterectomy patients presented with the highest burden of nearly all health and cognitive factors, implying higher delirium risk (e.g., stroke, 22%; depressive symptoms, 30%; high school or less education, 73%; frailty, 42%; lowest latent cognitive ability). A second "general surgery" phenotype, including cholecystectomy, colorectal, and hernia surgery patients, experienced more frailty (29%-32%) and depressive symptoms (24%-26%), with moderate comorbidity burden. A third "pain" phenotype, which included TKA, THA, and spine surgery patients, commonly reported moderate or severe pain (47%-53%) and impairment in activities of daily living (ADL, 23%-30%), but fewer comorbid medical conditions. The remaining surgery types (hysterectomy, prostatectomy, TURP) were not phenotypically grouped and generally had lower risk features for delirium., Conclusion: In an epidemiological cohort of US older adults, we identified clinically meaningful heterogeneity in delirium risk profiles across different surgical types, which may have implications for delirium risk stratification and delirium prevention or treatment., (© 2024 The Author(s). Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.)

Importance: The practice of deprescribing antihypertensive medications is common among long-term care residents, yet the effect on cardiovascular outcomes is unclear., Objective: To compare the incidence of hospitalization for myocardial infarction (MI) or stroke among long-term care residents who are deprescribed or continue antihypertensive therapy., Design, Setting, and Participants: This comparative effectiveness research study used target trial emulation with observational electronic health record data from long-term care residents aged 65 years or older admitted to US Department of Veterans Affairs community living centers between October 1, 2006, and September 30, 2019, and taking at least 1 antihypertensive medication. Analyses were conducted between August 2023 and August 2024., Exposure: A reduction in the number of antihypertensive medications or dose (by ≥30%), assessed using barcode medication administration data., Main Outcome and Measures: Incidence of MI and stroke hospitalization up to 2 years was assessed using International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. A pooled logistic regression model with inverse probability of treatment weighting (IPTW) and inverse probability of censoring weighting (IPCW) was used to estimate per-protocol effects., Results: Of 13 096 long-term care residents (97.4% men; median age, 77 years [IQR, 70-84 years]) taking antihypertensive medication, 17.8% were deprescribed antihypertensive medication over a period of 12 weeks. The estimated unadjusted cumulative incidence of stroke or MI hospitalization over 2 years was similar among residents who were and were not deprescribed antihypertensives in per-protocol analyses (11.2% vs 8.8%; difference, 2.4 percentage points [95% CI, -2.3 to 7.1 percentage points]). Participant characteristics were balanced after applying IPTW and IPCW; all standardized mean differences were less than 0.05. After full adjustment for confounding and informative censoring, the per-protocol analysis results showed no association of antihypertensive deprescribing with MI or stroke hospitalization (hazard ratio, 0.93; 95% CI, 0.70-1.26)., Conclusions and Relevance: In this comparative effectiveness research study, deprescribing antihypertensive medication was not associated with risk of hospitalization for MI or stroke in long-term care residents. These findings may be informative for long-term care residents and clinicians who are considering deprescribing antihypertensive medications.

Importance: Antihypertensive medication deprescribing is common among nursing home residents, yet its association with cognitive decline remains uncertain., Objective: To investigate the association of deprescribing antihypertensive medication with changes in cognitive function in nursing home residents., Design, Setting, and Participants: This cohort study using a target trial emulation approach included VA long-term care residents aged 65 years or older with stays of at least 12 weeks from 2006 to 2019. Residents who were not prescribed antihypertensive medication, with blood pressure greater than 160/90 mm Hg, or with heart failure were excluded. Eligible residents with stable medication use for 4 weeks were classified into deprescribing or stable user groups and followed for 2 years or until death or discharge for intention-to-treat (ITT) analysis. Participants switching treatment groups were censored in the per-protocol analysis. Cognitive function measurements during follow-up were analyzed using an ordinal generalized linear mixed model, adjusting for confounders with inverse probability of treatment weighting. Per-protocol analysis included inverse probability of censoring weighting. Data analyses were performed from May 1, 2023, and July 1, 2024., Exposures: Deprescribing was defined as a reduction in the total number of antihypertensive medications or a decrease in medication dosage by 30%, sustained for a minimum of 2 weeks., Main Outcomes and Measures: Cognitive Function Scale (CFS) was classified as cognitively intact (CFS = 1), mildly impaired (CFS = 2), moderately impaired (CFS = 3), and severely impaired (CFS = 4)., Results: Of 45 183 long-term care residents, 12 644 residents (mean [SD] age 77.7 [8.3] years; 329 [2.6%] females and 12 315 [97.4%] males) and 12 053 residents (mean [SD] age 77.7 [8.3] years; 314 [2.6%] females and 11 739 [97.4%] males) met eligibility for ITT and per-protocol analyses, respectively. At the end of the follow-up, 12.0% of residents had a worsened CFS (higher score) and 7.7% had an improved CFS (lower score) with 10.8% of the deprescribing group and 12.1% of the stable user group showing a worsened CFS score. In the per-protocol analysis, the deprescribing group had a 12% reduction in the odds of progressing to a worse CFS category per 12-week period (odds ratio, 0.88; 95% CI, 0.78-0.99) compared to the stable user group. Among residents with dementia, deprescribing was associated with 16% reduced odds of cognitive decline (odds ratio, 0.84; 95% CI, 0.72-0.98). These patterns remained consistent in the ITT analysis., Conclusions and Relevance: This cohort study indicates that deprescribing is associated with less cognitive decline in nursing home residents, particularly those with dementia. More data are needed to understand the benefits and harms of antihypertensive deprescribing to inform patient-centered medication management in nursing homes.

Objectives: Antihypertensive treatment changes are common in long-term care residents, yet data on the frequency and predictors of changes are lacking. We described the patterns of antihypertensive changes and examined the triggering factors., Design: Retrospective cohort study., Setting and Participants: A total of 24,870 Department of Veterans Affairs (VA) nursing home residents aged ≥65 years with long-term stays (≥180 days) from 2006 to 2019., Methods: We obtained data from the VA Corporate Data Warehouse. Based on Bar Code Medication Administration medication data, we defined 2 types of change events in 180 days of admission: deprescribing (reduced number of antihypertensives or dose reduction of ≥30% compared with the previous week and maintained for at least 2 weeks) and intensification (opposite of deprescribing). Mortality was identified within 2 years after admission., Results: More than 85% of residents were prescribed antihypertensives and 68% of them experienced ≥1 change event during the first 6 months of the nursing home stay. We categorized residents into 10 distinct patterns: no change (27%), 1 deprescribing (11%), multiple deprescribing (5%), 1 intensification (10%), multiple intensification (7%), 1 deprescribing followed by 1 intensification (3%), 1 intensification followed by 1 deprescribing (4%), 3 changes with mixed events (7%), >3 changes with mixed events (10%), and no antihypertensive use (15%). Treatment changes were more frequent in residents with better physical function and/or cognitive function. Potentially triggering factors differed by the type of antihypertensive change: incident high blood pressure and cardiovascular events were associated with intensification, and low blood pressure, weight loss, and falls were associated with deprescribing. Death occurred in 7881 (32%) residents over 2 years. The highest mortality was for those without antihypertensive medication (incidence = 344/1000 person-years)., Conclusions and Implications: Patterns of medication changes existing in long-term care residents are complex. Future studies should explore the benefits and harms of these antihypertensive treatment changes., Competing Interests: Disclosures M.A.S. and S.J.L. receive honoraria as authors on UpToDate. The other authors declare no conflicts of interest., (Copyright © 2024 Post-Acute and Long-Term Care Medical Association. All rights reserved.)

Background: Language in nonmedical data sets is known to transmit human-like biases when used in natural language processing (NLP) algorithms that can reinforce disparities. It is unclear if NLP algorithms of medical notes could lead to similar transmissions of biases., Research Question: Can we identify implicit bias in clinical notes, and are biases stable across time and geography?, Study Design and Methods: To determine whether different racial and ethnic descriptors are similar contextually to stigmatizing language in ICU notes and whether these relationships are stable across time and geography, we identified notes on critically ill adults admitted to the University of California, San Francisco (UCSF), from 2012 through 2022 and to Beth Israel Deaconess Hospital (BIDMC) from 2001 through 2012. Because word meaning is derived largely from context, we trained unsupervised word-embedding algorithms to measure the similarity (cosine similarity) quantitatively of the context between a racial or ethnic descriptor (eg, African-American) and a stigmatizing target word (eg, nonco-operative) or group of words (violence, passivity, noncompliance, nonadherence)., Results: In UCSF notes, Black descriptors were less likely to be similar contextually to violent words compared with White descriptors. Contrastingly, in BIDMC notes, Black descriptors were more likely to be similar contextually to violent words compared with White descriptors. The UCSF data set also showed that Black descriptors were more similar contextually to passivity and noncompliance words compared with Latinx descriptors., Interpretation: Implicit bias is identifiable in ICU notes. Racial and ethnic group descriptors carry different contextual relationships to stigmatizing words, depending on when and where notes were written. Because NLP models seem able to transmit implicit bias from training data, use of NLP algorithms in clinical prediction could reinforce disparities. Active debiasing strategies may be necessary to achieve algorithmic fairness when using language models in clinical research., Competing Interests: Financial/Nonfinancial Disclosures None declared., (Published by Elsevier Inc.)

Importance: Limited evidence exists on the association between initiation of antihypertensive medication and risk of fractures in older long-term nursing home residents., Objective: To assess the association between antihypertensive medication initiation and risk of fracture., Design, Setting, and Participants: This was a retrospective cohort study using target trial emulation for data derived from 29 648 older long-term care nursing home residents in the Veterans Health Administration (VA) from January 1, 2006, to October 31, 2019. Data were analyzed from December 1, 2021, to November 11, 2023., Exposure: Episodes of antihypertensive medication initiation were identified, and eligible initiation episodes were matched with comparable controls who did not initiate therapy., Main Outcome and Measures: The primary outcome was nontraumatic fracture of the humerus, hip, pelvis, radius, or ulna within 30 days of antihypertensive medication initiation. Results were computed among subgroups of residents with dementia, across systolic and diastolic blood pressure thresholds of 140 and 80 mm Hg, respectively, and with use of prior antihypertensive therapies. Analyses were adjusted for more than 50 baseline covariates using 1:4 propensity score matching., Results: Data from 29 648 individuals were included in this study (mean [SD] age, 78.0 [8.4] years; 28 952 [97.7%] male). In the propensity score-matched cohort of 64 710 residents (mean [SD] age, 77.9 [8.5] years), the incidence rate of fractures per 100 person-years in residents initiating antihypertensive medication was 5.4 compared with 2.2 in the control arm. This finding corresponded to an adjusted hazard ratio (HR) of 2.42 (95% CI, 1.43-4.08) and an adjusted excess risk per 100 person-years of 3.12 (95% CI, 0.95-6.78). Antihypertensive medication initiation was also associated with higher risk of severe falls requiring hospitalizations or emergency department visits (HR, 1.80 [95% CI, 1.53-2.13]) and syncope (HR, 1.69 [95% CI, 1.30-2.19]). The magnitude of fracture risk was numerically higher among subgroups of residents with dementia (HR, 3.28 [95% CI, 1.76-6.10]), systolic blood pressure of 140 mm Hg or higher (HR, 3.12 [95% CI, 1.71-5.69]), diastolic blood pressure of 80 mm Hg or higher (HR, 4.41 [95% CI, 1.67-11.68]), and no recent antihypertensive medication use (HR, 4.77 [95% CI, 1.49-15.32])., Conclusions and Relevance: Findings indicated that initiation of antihypertensive medication was associated with elevated risks of fractures and falls. These risks were numerically higher among residents with dementia, higher baseline blood pressures values, and no recent antihypertensive medication use. Caution and additional monitoring are advised when initiating antihypertensive medication in this vulnerable population.

The 2015 Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Statement was published to improve reporting transparency for prediction modeling studies. The objective of this review is to highlight methodologic challenges that aging-focused researchers will encounter when designing and reporting studies involving prediction models for older adults and provide guidance for addressing these challenges. In following the 22-item TRIPOD checklist, researchers must consider the representativeness of cohorts used (e.g., whether older adults with frailty, cognitive impairment, and social isolation were included), strategies for incorporating common geriatric predictors (e.g., age, comorbidities, functional status, and frailty), methods for handling missing data and competing risk of death, and assessment of model performance heterogeneity across important subgroups (e.g., age, sex, race, and ethnicity). We provide guidance to help aging-focused researchers develop, validate, and report models that can inform and improve patient care, which we label "TRIPOD-65.", (© 2023 The American Geriatrics Society.)