Pagali, Sandeep

ABSTRACT Background Mobility functional status is inconsistently recorded in electronic health records. Recent advances in Large Language Models (LLMs) enable automated extraction of functional information from unstructured clinical notes. Leveraging a validated functional LLM with high performance in mobility extraction, we aimed to study the association between LLM‐derived mobility functional status and clinical outcomes, including emergency department (ED) visits, hospitalizations, and mortality. Methods Individuals aged 60 years and older enrolled in the Mayo Clinic Study of Aging, with documented clinical notes in 2022 were included. Individuals without any identifiable functional information were excluded. The LLM‐derived mobility functional status categorized mobility as impaired or unimpaired, across the five mobility domains as classified by International Classification of Functioning, Disability, and Health. Clinical outcomes in 2023 were extracted from the Rochester Epidemiology Project database. Logistic regression models assessed associations between mobility impairment and outcomes, adjusted for age, sex, Elixhauser comorbidity index, and education. Results Three thousand three hundred thirty‐seven individuals were screened, of whom three hundred forty‐three had no functional information. Two thousand nine hundred ninety‐four individuals were analyzed. 79.4% had at least one mobility impairment. Higher mobility impairment is associated with older age and greater Elixhauser comorbidity. Individuals with 3 or more impairments had an increased adjusted odds of ED visits (Adjusted Odds Ratio (aOR): 2.18 (1.64, 2.90)) and hospitalizations (aOR: 2.35 (1.51, 3.65)) compared to unimpaired individuals ( p < 0.001), while mortality did not demonstrate a significant association with mobility impairment. Conclusion LLM‐derived mobility functional status assessment was associated with ED visits and hospitalization, but not with all‐cause mortality after adjustment. Prospective validation and evaluation of incremental discrimination, calibration, and clinical utility are needed before clinical implementation.

Objective Designation of a Medical Power of Attorney (MPOA) is a key component of advance care planning (ACP) that ensures patient preferences are honored when decision-making capacity is not present. This study aimed to quantify MPOA documentation rates and identify demographic and clinical factors associated with documentation presence. Methods We conducted a retrospective observational study using electronic health record data from 979 610 adult hospitalization encounters representing 459 365 unique patients within a large U.S. healthcare system from January 1, 2020, through December 31, 2021. All hospitalized patients aged ≥18 years were included. The primary outcome was MPOA documentation. Demographic and clinical variables were analyzed using multivariable logistic regression. Statistical significance was defined as P < .05. Results Among 979 610 encounters, 260 752 encounters (26.6%) had documented MPOA. Male sex, White race, older age (67.0 vs 54.3 years), and unmarried status were associated with a higher MPOA documentation rate (all, P < .001). In multivariable analyses, male sex (adjusted odds ratio [AOR], 1.07; 95% CI, 1.06-1.08) and unmarried status (AOR range, 1.41-1.75) were associated with higher odds of MPOA documentation. Dementia (AOR, 1.90; 95% CI, 1.86-1.93) and malignancy (AOR, 2.22; 95% CI, 2.19-2.25) were associated with higher odds, while discharge against medical advice was associated with lower odds (AOR, 0.91; 95% CI, 0.88-0.94) of MPOA documentation. Conclusions MPOA documentation rates were low, highlighting missed opportunities to identify alternate decision makers when a patient lacks capacity. Targeted interventions to promote surrogate decision-maker designation and documentation are needed, especially in inpatient care settings.

ABSTRACT Advanced chronic diseases, or multicomplexity in older adults presents unique challenges. Transthyretin cardiac amyloidosis (ATTR‐CA) is one such scenario where heart failure is a common presentation, and management remains challenging. We describe the challenges involved in the diagnosis of ATTR‐CA in older adults, which has implications on treatment options. We discuss the application of comprehensive geriatric assessment (CGA) and shared decision making (SDM) in the context of these challenges. Based on geriatric medicine principles, an innovative framework for applying SDM in ATTR‐CA patients is proposed, including consideration of the patient priorities care approach. The proposed framework emphasizes assessing functionality, frailty, and life expectancy to help categorize risk. This framework can be applied in various advanced chronic diseases or multicomplexity. Based on risk categorization, treatment burden, and alignment with values and preferences, management pathways are suggested for each risk category. Incorporating CGA and SDM, the proposed framework supports patient‐centered care, ensuring that clinical recommendations are tailored to each older adult's unique needs and goals. In ATTR‐CA, a collaboration between cardiology and geriatric medicine provides significant value in managing older adults. The need to prevent age‐related bias in clinical decision‐making exists across all health conditions, and the proposed framework allows for a thorough evaluation of multimorbidity, frailty, disability, and patient preferences. While ATTR‐CA is used as a prototype, this integrated approach can be applied across all health conditions and is essential for delivering holistic care, improving communication, and aligning treatment plans with patient values.

Introduction Optimal hospital bed utilization requires innovative patient care models. We studied a novel hospitalist model utilizing telemedicine to facilitate collaboration with affiliated emergency departments (EDs) and support medical triage and care of ED patients with high likelihood of hospital admission. Methods Telehospitalists based at a tertiary care facility collaborated with four community EDs in the same healthcare network between January 1, 2022, and April 30, 2023. Telehospitalists supported ED clinicians in medical care decisions and facilitated patient disposition. Emergency department length of stay (LOS) and disposition were evaluated, as were hospital LOS, 30-day readmission, and in-hospital mortality. For patients discharged from the ED, 7-day ED readmission and subsequent hospitalization were evaluated. Results Telehospitalists discussed 550 “admit-likely” patients with ED clinicians: 105 patients (19.1%) discharged from the ED and avoided admission; 322 patients (58.5%) were admitted to local or nearby community hospitals; 123 patients (22.4%) transferred to the tertiary care facility. Emergency department LOS differed significantly among disposition groups, including patients discharged home (10.2 h), admitted to local hospitals (12.6 h), and transferred to tertiary care hospitalist services (14.9 h; p < 0.001). Hospital LOS and in-hospital mortality were not significantly different among disposition groups. Patients admitted locally had lower 30-day readmission compared to those transferred to tertiary care facility (odds ratio = 0.59 [0.36, 0.99], p = 0.048). Discussion Telehospitalists as triage clinicians is an innovative approach to support local ED clinicians and patients. Telehospitalists optimized hospital bed utilization and healthcare system resources by facilitating safe discharges to home and expediting tertiary care transfers when necessary.

Abstract This is an exciting time in Geriatrics, with numerous opportunities in health care for Geriatrics specialists to innovate and lead. Geriatrics specialists should know how to implement innovative care models to lead healthcare changes in their organizations and effectively facilitate change management. We highlight a 10‐step framework that Geriatrics specialists can leverage to quickly move their ideas from development to implementation at a system level. This framework adapts concepts from business management to provide a step‐by‐step guide to move from idea generation to implementation. We provide different practical examples that a Geriatrician can correlate to in their practice, including value proposition and business canvas model. Though small components of the business canvas model may vary based on organization and program/idea‐specific needs, the outlined skills will establish Geriatrics specialists as leaders of change, a resource for education, and valued consultants to a health system that is in dire need of direction to improve the quality of care, and health outcomes, for older adults.

Abstract Background Older adults presenting with trauma have worse outcomes than younger adults. Starting in 2016, we provided geriatrics consultation (GC) to older adults admitted to the trauma service. We aimed to analyze the impact of GC on patient outcomes. Methods We performed a retrospective pre–post study and year‐matched cohort study. We identified patients from the trauma registry at our level 1 trauma center. In the pre–post study, we compared patients who received GC (2016–2022) with controls (2011–2015). In the cohort study (2016–2022), we compared patients who received GC with controls. We matched for age, race, sex, and injury severity score (ISS) in both studies, as well as admission year in the cohort study. Outcome variables included mortality (in‐hospital, 30‐day, 90‐day), length of stay (LOS), discharge disposition, and hospital readmission rates (30‐day, 90‐day). Results We analyzed 1968 patients in the pre–post study and 2544 patients in the cohort study. Patients were similar in age, race, and sex. GC patients had a slightly higher ISS score and a higher rate of ICU stay. Delirium occurrence was lower among GC patients. GC patients had lower in‐hospital mortality compared to controls (pre–post OR 0.27, p < 0.001; cohort OR 0.31, p < 0.001) and increased LOS (6 days vs 4 days, p < 0.001; both studies). GC patients in the cohort study also had lower 30‐ and 90‐day mortality (OR 0.52 and 0.65, p < 0.01) and were less likely to return home (OR 0.81, p < 0.01); similar trends, though not statistically significant, were noted in the pre–post study. Lower readmission rates (statistically non‐significant) were noted in the GC group across both studies. Conclusions GC in older adults with trauma has proven benefit with reduced mortality and a trend toward lower readmission rates but was associated with increased LOS and higher rates of discharge to skilled facility.