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Background: Central nervous system (CNS) medication use is common among older adults, yet the impact of hospitalizations on use remains unclear. This study details CNS medication use, discontinuations, and user profiles during hospitalization periods. Methods: Retrospective cohort study using electronic health records on patients ≥65 years, from three hospitals (2018–2020), and prescribed a CNS medication around hospitalization (90 days prior to 90 days after). Latent class transitions analysis (LCTA) examined profiles of CNS medication class users across four time points (90 days prior, admission, discharge, 90 days after hospitalization). Results: Among 4666 patients (mean age 74.3 ± 9.3 years; 63% female; 70% White; mean length of stay 4.6 ± 5.6 days (median 3.0 [2.0, 6.0]), the most commonly prescribed CNS medications were antidepressants (56%) and opioids (49%). Overall, 74% (n = 3446) of patients were persistent users of a CNS medication across all four time points; 7% (n = 388) had discontinuations during hospitalization, but of these, 64% (216/388) had new starts or restarts within 90 days after hospitalization. LCTA identified three profile groups: (1) low CNS medication users, 54%–60% of patients; (2) mental health medication users, 30%–36%; and (3) acute/chronic pain medication users, 9%–10%. Probability of staying in same group across the four time points was high (0.88–1.00). Transitioning to the low CNS medication use group was highest from admission to discharge (probability of 9% for pain medication users, 5% for mental health medication users). Female gender increased (OR 2.4, 95% CI 1.3–4.3), while chronic kidney disease lowered (OR 0.5, 0.2–0.9) the odds of transitioning to the low CNS medication use profile between admission and discharge. Conclusions: CNS medication use stays consistent around hospitalization, with discontinuation more likely between admission and discharge, especially among pain medication users. Further research on patient outcomes is needed to understand the benefits and harms of hospital deprescribing, particularly for medications requiring gradual tapering. [ABSTRACT FROM AUTHOR]

This study describes the availability of physical activity information in the electronic health record, explores how electronic health record documentation correlates with accelerometer-derived physical activity data, and examines whether measured physical activity relates to venous thromboembolism (VTE) prophylaxis use. Prospective observational data comes from community-dwelling older adults admitted to general medicine (n = 65). Spearman correlations were used to examine association of accelerometer-based daily step count with documented walking distance and with duration of VTE prophylaxis. Only 52% of patients had documented walking in nursing and/or physical therapy/occupational therapy notes during the first three hospital days. Median daily steps recorded via accelerometer was 1,370 (interquartile range = 854, 2,387) and correlated poorly with walking distance recorded in physical therapy/occupational therapy notes (median 33 feet/day [interquartile range = 12, 100]; r =.24; p =.27). Activity measures were not associated with use or duration of VTE prophylaxis. VTE prophylaxis use does not appear to be directed by patient activity, for which there is limited documentation. [ABSTRACT FROM AUTHOR]

Background. Adverse drug reactions (ADR) negatively impact life quality and are sometimes fatal. This study examines the incidence and predictors of all and preventable ADRs in frail elderly persons after hospital discharge, a highly vulnerable but rarely studied population. Methods. The design was a prospective cohort study involving 808 frail elderly persons who were discharged from 11 Veteran Affairs hospitals to outpatient care. The main outcome measure was number of ADRs per patient as determined by blinded geriatrician and geropharmacist pairs using Naranjo's ADR algorithm. For all ADRs (possible, probable, or definite), preventability was assessed. Discordances were resolved by consensus conferences. Results. Overall, 33% of patients had one or more ADRs for a rate of 1.92 per 1000 person-days of follow-up. The rate for preventable ADRs was 0.71 per 1000 person-days of follow-up. Independent risk factors for all ADRs were number of medications (adjusted [Adj.] hazard ratio [HR], 1.07; 95% confidence interval [CI], 1.05-1.10 per medication), use of warfarin (Adj. HR, 1.51; 95% CI, 1.22-1.87), and (marginally) the use of benzodiazepines (Adj. HR, 1.23; 95% CI, 0.95-1.58). Counterintuitively, use of sedatives and/or hypnotics was inversely related to ADR risk (Adj. HR, 0.14; 95% CI, 0.04-0.57). Similar trends were seen for number of medications and warfarin use as predictors of preventable ADRs. Conclusions. ADRs are very common in frail elderly persons after hospital stay, and polypharmacy and warfarin use consistently increase the risk of ADRs.

OBJECTIVES: To develop a prognostic model for hospital admissions over a 1‐year period among community‐dwelling older adults with self‐reported hearing and/or vision impairments based on readily obtainable clinical predictors. DESIGN: Retrospective cohort study. SETTING: Medicare Current Beneficiary Survey from 1999 to 2006. PARTICIPANTS: Community‐dwelling Medicare beneficiaries, aged 65 years and older, with self‐reported hearing and/or vision impairment (N = 15,999). MEASUREMENTS: The primary outcome was any hospital admission over a predefined 1‐year study period. Candidate predictors included demographic factors, prior healthcare utilization, comorbidities, functional impairment, and patient‐level factors. We analyzed the association of all candidate predictors with any hospital admission over the 1‐year study period using multivariable logistic regression. The final model was created using a penalized regression method known as the least absolute shrinkage and selection operator. Model performance was assessed by discrimination (concordance statistic (c‐statistic)) and calibration (evaluated graphically). Internal validation was performed via bootstrapping, and results were adjusted for overoptimism. RESULTS: Of the 15,999 participants, the mean age was 78 years and 55% were female. A total of 2,567 participants (16.0%) had at least one hospital admission in the 1‐year study period. The final model included seven variables independently associated with hospitalization: number of inpatient admissions in the previous year, number of emergency department visits in the previous year, activities of daily living difficulty score, poor self‐rated health, and self‐reported history of myocardial infarction, stroke, and nonskin cancer. The c‐statistic of the final model was 0.717. The optimism‐corrected c‐statistic after bootstrap internal validation was 0.716. A calibration plot suggested that the model tended to overestimate risk among patients at the highest risk for hospitalization. CONCLUSION: This prognostic model can help identify which community‐dwelling older adults with sensory impairments are at highest risk for hospitalization and may inform allocation of healthcare resources. [ABSTRACT FROM AUTHOR]

BACKGROUND: Hospital‐acquired disability (HAD) is common and often related to low physical activity while in the hospital. OBJECTIVE: To examine whether wearable hospital activity trackers can be used to predict HAD. DESIGN: A prospective observational study between January 2016 and March 2017. SETTING: An academic medical center. PARTICIPANTS: Community‐dwelling older adults, aged 60 years or older, enrolled within 24 hours of admission to general medicine (n = 46). MAIN MEASURES: Primary outcome was HAD, defined as having one or more new activity of daily living deficits, decline of four or greater on the Late‐Life Function and Disability Instrument (calculated between baseline and discharge), or discharge to a skilled nursing facility. Hospital activity (mean active time, mean sedentary time, and mean step counts per day) was measured using ankle‐mounted accelerometers. The association of the literature‐based threshold of 900 steps/day with HAD was also evaluated. RESULTS: Mean age was 73.2 years (SD = 9.5 years), 48% were male, and 76% were white. Median length of stay was 4 days (interquartile range [IQR] = 2.0‐6.0 days); 61% (n = 28) reported being able to walk without assistance of another person or walking aid at baseline. Median daily activity time and step counts were 1.1 h/d (IQR = 0.7‐1.7 h/d) and 1455.7 steps/day (IQR = 908.5‐2643 steps/day), respectively. Those with HAD (41%; n = 19) had lower activity time (0.8 vs 1.4 h/d; P =.04) and fewer step counts (1186 vs 1808 steps/day; P =.04), but no difference in sedentary time, compared to those without HAD. The 900 steps/day threshold had poor sensitivity (40%) and high specificity (85%) for detecting HAD. CONCLUSIONS: Low hospital physical activity, as measured by wearable accelerometers, is associated with HAD. Clinicians can utilize wearable technology data to refer patients to physical/occupational therapy services or other mobility interventions, like walking programs. J Am Geriatr Soc 68:261–265, 2020 [ABSTRACT FROM AUTHOR]

Presents a study that examined the effects of nursing home (NH) residents' level of cognitive impairment on subsequent change in physical function. Percentage of elderly NH residents affected by cognitive impairment; Rate of change in activities of daily living; Implementation of NH Minimum Data Set assessment among NH residents during the 1990s.

Objective: To ascertain whether use of mechanical ventilation on admission to the hospital is a proxy indicator of coma (i.e., very severe stroke) among acute stroke patients.Methods: A secondary analysis of data from a medical record review on a nationally representative sample of 2,824 Medicare patients, ages 65 years or older, who were hospitalized for stroke in 1982-1983 or 1985-1986 in 297 acute care hospitals in 30 areas within five geographically dispersed states.Results: Use of mechanical ventilation on the first day of hospitalization was significantly associated with level of consciousness on admission: < 2 percent of noncomatose patients versus 17.5 percent of comatose (p < .001). With a high specificity and high likelihood ratio for a positive test, use of mechanical ventilation on the first day of hospitalization ruled-in coma. It was also significantly associated with severity of illness, prognostic indicators (i.e., admission through the emergency room, admission to intensive care, and having a "do-not-resuscitate" order written during the hospital stay), and with in-hospital death. Adjusting for patient demographics, stroke type, comorbidity, and process of care, early initiation of mechanical ventilation remained significantly associated with both coma and in-hospital death.Conclusions: A stroke patient's use of mechanical ventilation on the first day of hospitalization is a valid proxy indicator of level of consciousness. [ABSTRACT FROM AUTHOR]

Depressive symptoms, assessed using a self-report type of questionnaire, have been associated with poor outcomes in dialysis patients. Here we determined if depressive disorders diagnosed by physicians are also associated with such outcomes. Ninety-eight consecutive patients on chronic hemodialysis underwent the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders administered by a physician. Depression was diagnosed in about a quarter of the patients. Associations adjusted for age, gender, race, time on dialysis and co-morbidity were determined using survival analysis. Using time to event (death or hospitalization) models of analysis the hazard ratios were 2.11 and 2.07 in unadjusted and adjusted models respectively. The finding of poor outcome using a formal structured physician interview suggests that a prospective study is needed to determine whether treatment of depression affects clinical outcomes.Kidney International (2008) 74, 930–936; doi:10.1038/ki.2008.311; published online 25 June 2008 [ABSTRACT FROM AUTHOR]

Objective: Venous thromboembolism (VTE) prophylaxis is an important consideration for hospitalized older adults, and the Padua Prediction Score (PPS) is a risk prediction tool used to prioritize patient selection. We developed an automated PPS (APPS) algorithm using electronic health record (EHR) data. This study examines the accuracy of APPS and its individual components versus manual data extraction., Methods: This is a retrospective cohort study of hospitalized general internal medicine patients, aged 70 and over. Fourteen clinical variables were collected to determine their PPS; APPS used EHR data exports from health system databases, and a trained abstractor performed manual chart abstractions. We calculated sensitivity and specificity of the APPS, using manual PPS as the gold standard for classifying risk category (low vs. high). We also examined performance characteristics of the APPS for individual variables., Results: PPS was calculated by both methods on 311 individuals. The mean PPS was 3.6 (standard deviation, 1.8) for manual abstraction and 2.8 (1.4) for APPS. In detecting patients at high risk for VTE, the sensitivity and specificity of the APPS algorithm were 46 and 94%, respectively. The sensitivity for APPS was poor (range: 6-34%) for detecting acute conditions (i.e., acute myocardial infarction), moderate (range: 52-74%) for chronic conditions (i.e., heart failure), and excellent (range: 94-98%) for conditions of obesity and restricted mobility. Specificity of the automated extraction method for each PPS variable was > 87%., Conclusion: APPS as a stand-alone tool was suboptimal for classifying risk of VTE occurrence. The APPS accurately identified high risk patients (true positives), but lower scores were considered indeterminate., Competing Interests: None., (Georg Thieme Verlag KG Stuttgart · New York.)

Background: Drugs can improve quality of life for many older people, but they may cause adverse health outcomes (eg, drug-disease interactions) if used inappropriately., Objective: To determine the prevalence of potential drug-disease interactions as defined by explicit criteria and examine associations between sociodemographic and health status variables and potential drug-disease interactions., Methods: The study design was cross-sectional. We evaluated 397 frail elderly inpatients from the Geriatric Evaluation and Management trial conducted at 11 Veterans Affairs Medical Centers. Drug-disease interactions were defined using explicit criteria from consensus expert panels of geriatricians from the US and Canada., Results: Overall, 159 (40.1%) patients had one or more potential drug-disease interaction. The most common potential interactions were calcium-channel blockers and heart failure (12.3%) and beta-blockers and diabetes (6.8%). Multivariable logistic regression analyses revealed that age > or =75 years (adjusted OR 2.43; 95% CI 1.52 to 3.88), being married (adjusted OR 1.77; 95% CI 1.11 to 2.82), comorbidity index defined by Charlson method (adjusted OR 1.19; 95% CI 1.05 to 1.34), and use of multiple prescription drugs (5-8: adjusted OR 4.17; 95% CI 1.96 to 8.88, > or =9: adjusted OR 9.22; 95% CI 4.26 to 19.95), were significantly (p < 0.05) associated with having one or more potential drug-disease interaction., Conclusions: Potential drug-disease interactions are common in hospitalized elderly patients and are related to specific sociodemographic and health status factors. Further research is needed to examine the relationship between health outcomes and drug-disease interactions.

Background: Inappropriate prescribing in frail elderly inpatients has not received as much investigation as in frail elderly nursing home patients., Objective: To determine the prevalence and predictors of inappropriate prescribing for hospitalized frail elderly patients., Methods: The study was conducted at 11 Veterans Affairs Medical Centers and involved a sample of 397 frail elderly inpatients. Inappropriate prescribing was measured by physician-pharmacist pair's consensus ratings for 10 criteria on the Medication Appropriateness Index (MAI). The MAI ratings generated a weighted score of 0-18 per medication (higher score = more inappropriate) and were summed across medications to achieve a patient score., Results: Overall, 365 (91.9%) patients had > or =1 medications with > or =1 MAI criteria rated as inappropriate. The most common problems involved expensive drugs (70.0%), impractical directions (55.2%), and incorrect dosages (50.9%). The most common drug classes with appropriateness problems were gastric (50.6%), cardiovascular (47.6%), and central nervous system (23.9%). The mean +/- SD MAI score per person was 8.9 +/- 7.6. Stepwise ordinal logistic regression analyses revealed that both the number of prescription (adjusted OR 1.28; 95% CI 1.21 to 1.36) and nonprescription drugs (adjusted OR 1.17; 95% CI 1.06 to 1.29) were related to higher MAI scores. Analyses excluding the number of drugs revealed that the Charlson index (adjusted OR 1.62; 95% CI 1.12 to 2.35) and fair/poor self-rated health (adjusted OR 1.15; 95% CI 1.05 to 1.26) were related to higher MAI scores., Conclusions: Inappropriate drug prescribing is common for frail elderly veteran inpatients and is related to polypharmacy and specific health status characteristics.