Patient-reported predictors of postdischarge mortality after cardiac hospitalization.

BACKGROUND: Adults hospitalized for cardiovascular events are at high risk for postdischarge mortality. Screening of psychosocial risk is prioritized by the Joint Commission. We tested whether key patient-reported psychosocial and behavioral measures could predict posthospitalization mortality in a cohort of adults hospitalized for a cardiovascular event. METHODS: We conducted a prospective cohort study to test the prognostic utility of validated patient-reported measures, including health literacy, social support, health behaviors and disease management, and socioeconomic status. Cox survival analyses of mortality were conducted over a median of 3.5 years. RESULTS: Among 2977 adults hospitalized for either acute coronary syndrome or acute decompensated heart failure, the mean age was 53 years, and 60% were male. After adjusting for demographic, clinical, and other psychosocial factors, mortality risk was greatest among patients who reported being unemployed (hazard ratio [HR]: 1.99, 95% confidence interval [CI]): 1.30-3.06), retired (HR: 2.14, 95% CI: 1.60-2.87), or unable to work due to disability (HR: 2.36, 95% CI: 1.73-3.21), as compared to those who were employed. Patient-reported perceived health competence (PHCS-2) and exercise frequency were also associated with mortality risk after adjusting for all other variables (HR: 0.86, 95% CI: 0.73-1.00 per four-point increase in PHCS-2; HR: 0.86, 95% CI: 0.77-0.96 per 3-day increase in exercise frequency, respectively). CONCLUSIONS: Patient-reported measures of employment status, perceived health competence, and exercise frequency independently predict mortality after a cardiac hospitalization. Incorporating these brief, valid measures into hospital-based screening may help with prognostication and targeting patients for resources during post-discharge transitions of care.

Vulnerability to functional decline is associated with noncardiovascular cause of 90-day readmission in hospitalized patients with heart failure.

BACKGROUND: Hospital readmission is common among patients with heart failure. Vulnerability to decline in physical function may increase the risk of noncardiovascular readmission for these patients, but the association between vulnerability and the cause of unplanned readmission is poorly understood, inhibiting the development of effective interventions. OBJECTIVES: We examined the association of vulnerability with the cause of readmission (cardiovascular vs. noncardiovascular) among hospitalized patients with acute decompensated heart failure. DESIGNS, SETTINGS, AND PARTICIPANTS: This prospective longitudinal study is part of the Vanderbilt Inpatient Cohort Study. MAIN OUTCOME AND MEASURES: The primary outcome was the cause of unplanned readmission (cardiovascular vs. noncardiovascular). The primary independent variable was vulnerability, measured using the Vulnerable Elders Survey (VES-13). RESULTS: Among 804 hospitalized patients with acute decompensated heart failure, 315 (39.2%) experienced an unplanned readmission within 90 days of discharge. In a multinomial logistic model with no readmission as the reference category, higher vulnerability was associated with readmission for noncardiovascular causes (relative risk ratio [RRR] = 1.36, 95% confidence interval [CI]: 1.06-1.75) in the first 90 days after discharge. The VES-13 score was not associated with readmission for cardiovascular causes (RRR = 0.94, 95% CI: 0.75-1.17). CONCLUSIONS: Vulnerability to functional decline predicted noncardiovascular readmission risk among hospitalized patients with heart failure. The VES-13 is a brief, validated, and freely available tool that should be considered in planning care transitions. Additional work is needed to examine the efficacy of interventions to monitor and mitigate noncardiovascular concerns among vulnerable patients with heart failure being discharged from the hospital.

Patient-reported predictors of post-discharge mortality after cardiac hospitalization.

Background: Adults hospitalized for cardiovascular events are at high risk for post-discharge mortality. Hospital-based screening of health-related psychosocial risk factors is now prioritized by the Joint Commission and the National Quality Forum to achieve equitable, high-quality care. We tested our hypothesis that key patient-reported psychosocial and behavioral measures could predict post-hospitalization mortality in a cohort of adults hospitalized for a cardiovascular event. Methods: This was a prospective cohort of adults hospitalized at Vanderbilt University Medical Center. Validated patient-reported measures of health literacy, social support, disease self-management, and socioeconomic status were used as predictors of interest. Cox survival analyses of mortality were conducted over a median 3.5-year follow-up (range: 1.25 - 5.5 years). Results: Among 2,977 adults, 1,874 (63%) were hospitalized for acute coronary syndrome and 1,103 (37%) were hospitalized for acute decompensated heart failure; 60% were male; and the mean age was 53 years. After adjusting for demographic, clinical, and other psychosocial factors, mortality risk was greatest among patients who reported being unable to work due to disability (Hazard Ratio (HR) 2.36, 95% Confidence Interval (CI): 1.73-3.21), who were retired (HR 2.14, 95% CI 1.60-2.87), and who reported unemployment (HR 1.99, 95% CI 1.30-3.06) as compared to those who were employed. Patient-reported measures of disease self-management, perceived health competence and exercise frequency, were also associated with mortality risk after full covariate adjustment (HR 0.86, 95% CI 0.73-1.00 per four-point increase), (HR 0.86, 95% CI 0.77-0.96 per three-day change), respectively. Conclusions: Patient-reported measures of employment status independently predict post-discharge mortality after a cardiac hospitalization. Measure of disease self-management also have prognostic modest utility. Hospital-based screening of psychosocial risk is increasingly prioritized in legislative policy. Incorporating brief, valid measures of employment status and disease self-management factors may help target patients for psychosocial, financial, and rehabilitative resources during post-discharge transitions of care.

Effect of physical and occupational therapy on delirium duration in older emergency department patients who are hospitalized.

Objective: Delirium in older emergency department (ED) adults is associated with poorer long-term physical function and cognition. We sought to evaluate if the time to and intensity of physical and/or occupational therapy (PT/OT) are associated with the duration of ED delirium into hospitalization (ED delirium duration). Methods: This is a secondary analysis of a prospective cohort study conducted from March 2012 to November 2014 at an urban, academic, tertiary care hospital. Patients aged ≥65 years presenting to the ED and who received PT/OT during their hospitalization were included. Days from enrollment to the first PT/OT session and PT/OT duration relative to hospital length of stay (PT/OT intensity) were abstracted from the medical record. ED delirium duration was defined as the duration of delirium detected in the ED using the Brief Confusion Assessment Method. Data were analyzed using a proportional odds logistic regression adjusted for multiple variables. Adjusted odds ratios (ORs) were calculated with 95% confidence intervals (95%CI). Results: The median log PT/OT intensity was 0.5% (interquartile range [IQR]: 0.3%, 0.9%) and was associated with shorter delirium duration (adjusted OR, 0.39; 95% CI, 0.21-0.73). The median time to the first PT/OT session was 2 days (IQR: 1, 3 days) and was not associated with delirium duration (adjusted OR, 1.02; 95% CI, 0.82-1.27). Conclusion: In older hospitalized adults, higher PT/OT intensity may be a useful intervention to shorten delirium duration. Time to first PT/OT session was not associated with delirium duration but was initiated a full 2 days after the ED presentation.

Low hospital mobility-resurgence of an old epidemic within a new pandemic and future solutions.

Low mobility during hospitalisation poses risks of functional decline and other poor outcomes for older adults. Given the pervasiveness of this problem, low mobility during hospitalisation was first described as 'dangerous' in 1947 and later described as an epidemic. Hospitals have made considerable progress over the last half-century and the last two decades in particular, however, the COVID-19 pandemic presents serious new challenges that threaten to undermine recent efforts and progress towards a culture of mobility. In this special article, we address the question of how to confront an epidemic of immobility within a pandemic. We identify four specific problems for creating and advancing a culture of mobility posed by COVID-19: social distancing and policies restricting patient movement, personnel constraints, personal protective equipment shortages and increased patient hesitancy to ambulate. We also propose four specific solutions to address these problems. These approaches will help support a culture of healthy mobility during and after hospitalisation and help patients to keep moving during the pandemic and beyond.

Improving the assessment and documentation of patient mobility using a quality improvement framework.

OBJECTIVE: To implement a system for assessing and documenting patient mobility in an inpatient geriatric unit using a quality improvement framework. METHODS: Whiteboards incorporating the Johns Hopkins Highest Level of Mobility scale were placed on each door of the unit. Staff were trained to assess and document patient mobility, and documentation compliance was measured. Nurses were surveyed to assess perceived burden of the system. Fall rates were calculated and analyzed for change from baseline. RESULTS: Median daily documentation rates reached 79% by the end of the project. Surveys indicated a low perceived burden of the system. Fall rates did not increase when compared to the previous year baseline (p = 0.80) and the analogous time frames during the previous two years (p = 0.84). CONCLUSION: A quality improvement framework may be used to improve mobility assessment and documentation in a geriatric unit without increasing patient falls or nursing burden.

The Short Physical Performance Battery (SPPB): A Quick and Useful Tool for Fall Risk Stratification Among Older Primary Care Patients.

OBJECTIVES: Evaluate fall risk with the Short Physical Performance Battery (SPPB) and examine its application within the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) tool advocated by the Centers for Disease Control and Prevention. DESIGN: Prospective longitudinal cohort study. SETTING AND PARTICIPANTS: 417 community-dwelling adults aged ≥65 years at risk for mobility decline, recruited from 9 primary care practices. METHODS: The SPPB, a 3-part performance-based test (gait time, chair stand, and balance), was assessed at baseline. Previously established cutpoints were used to categorize participant scores into 3 groups: low, middle, and best performers. Self-reported falls were assessed in-person at baseline and via phone interviews quarterly for 4 years. Multivariable negative binomial regression models were used to evaluate the relationship of the SPPB and each of its 3 components with fall rates over 1 and 4 years of follow-up. Additional analysis were stratified by fall risk screen status (+/-) based on self-reported fall history and balance self-efficacy using an adapted STEADI model. RESULTS: Participants had median age 76 years (interquartile range 70-82) and were 67.2% female with mean baseline SPPB 8.7 ± 2.3. Poor performance on the SPPB and on each of its 3 components independently predicted higher fall risk in the first year. After 4 years, the low total baseline SPPB [rate ratio (RR) 1.53, confidence interval (CI) 1.09-2.17] and gait time performances (RR 1.61, CI 1.07-2.41) predicted higher fall risk. After stratifying the sample according to the STEADI model, we observed the highest 1-year fall risk among those with a (+) fall risk screen who also scored lowest on the SPPB. CONCLUSIONS AND IMPLICATIONS: The SPPB is a performance measure with clinical utility for fall risk stratification over 1 and 4 years of follow-up among older adults. It shows promise as a complement to the STEADI guidelines, but its full benefits should be confirmed within a larger study.

Interrelated Neuromuscular and Clinical Risk Factors That Contribute to Falls.

BACKGROUND: Neuromuscular and clinical factors contribute to falls among older adults, yet the interrelated nature of these factors is not well understood. We investigated the relationships between these factors and how they contribute to falls, which may help optimize fall risk assessment and prevention. METHODS: A total of 365 primary care patients (age = 77 ± 7, 67% female) were included from the Boston Rehabilitative Impairment Study of the Elderly. Neuromuscular measures included leg strength and leg velocity, trunk extensor endurance, and knee range of motion. Clinical measures included memory, executive function, depressive symptoms, pain, sensory loss, vision, comorbidity, physical activity, mobility self-efficacy, and psychiatric medication. Factor analysis was used to evaluate clustering of factors. Negative binomial regression assessed the relationship of factors with three-year fall rate. Interactions were tested to examine whether clinical factors modified the relationship between neuromuscular factors and falls. RESULTS: Three factors emerged: (i) neuromuscular factors, pain, and self-efficacy; (ii) memory; and (iii) executive function. Having three neuromuscular impairments predicted higher fall rate (incidence rate ratio [95% confidence interval]: 3.39 [1.82-6.32]) but was attenuated by memory (1.69 [1.10-2.61]), mobility self-efficacy (0.99 [0.98-0.99]), psychiatric medication use (1.54 [1.10-2.14]), and pain (1.13 [1.04-1.23]). Pain modified the relationship between neuromuscular impairment burden (number of neuromuscular impairments) and falls. Having three neuromuscular impairments was associated with a higher fall rate in patients with high levels of pain (5.73 [2.46-13.34]) but not among those with low pain. CONCLUSIONS: Neuromuscular impairment burden was strongly associated with fall rate in older adults with pain. These factors should be considered together during fall risk assessment, post fall assessment, and prevention.

Inability to Perform the Repeated Chair Stand Task Predicts Fall-Related Injury in Older Primary Care Patients.

OBJECTIVE: The aim of the study was to examine whether the chair stand component of the Short Physical Performance Battery predicts fall-related injury among older adult primary care patients. DESIGN: A 2-yr longitudinal cohort study of 430 Boston-area primary care patients aged ≥65 yrs screened to be at risk for mobility decline was conducted. The three components of the Short Physical Performance Battery (balance time, gait speed, and chair stand time) were measured at baseline. Participants reported incidence of fall-related injuries quarterly for 2 yrs. Complementary log-log discrete time hazard models were constructed to examine the hazard of fall-related injury across Short Physical Performance Battery scores, adjusting for age, sex, race, Digit Symbol Substitution Test score, and fall history. RESULTS: Participants were 68% female and 83% white, with a mean (SD) age of 76.6 (7.0). A total of 137 (32%) reported a fall-related injury during the follow-up period. Overall, inability to perform the chair stand task was a significant predictor of fall-related injury (hazard ratio = 2.11, 95% confidence interval = 1.23-3.62, P = 0.01). Total Short Physical Performance Battery score, gait component score, and balance component score were not predictive of fall-related injury. CONCLUSIONS: Inability to perform the repeated chair stand task was associated with increased hazard of an injurious fall for 2 yrs among a cohort of older adult primary care patients.

Straight and Curved Path Walking Among Older Adults in Primary Care: Associations With Fall-Related Outcomes.

BACKGROUND: Most falls among community-dwelling older adults occur while walking. Simple walking tests that require little resources and can be interpreted quickly are advocated as useful screening tools for fall prone patients. OBJECTIVE: To investigate 2 clinically feasible walking tests consisting of straight- and curved-path walking and examine their associations with history of previous falls and fall-related outcomes among community-living older adults. DESIGN: A cross-sectional analysis was performed on baseline data from a longitudinal cohort study. SETTING: Participants were recruited through primary care practices. PARTICIPANTS: Participants included 428 primary care patients ≥65 years of age at risk for mobility decline. Participants had a median age of 76.5 years, 67.8% were women, and 82.5% were white. METHODS: Straight-path walking performance was measured as the time needed to walk a 4-meter straight path at usual pace from standstill using a stopwatch (timed to 0.1 second). Curved-path walking performance was timed while participants walked from standstill in a figure-of-8 pattern around two cones placed 5 feet apart. MAIN OUTCOME MEASUREMENTS: Multivariable negative binomial regression analyses were performed to assess the relationship between straight-path walking or curved-path walking and self-reported history of number of falls. For fall-related injuries, and fall-related hospitalizations, logistic regression models were used. RESULTS: In the fully adjusted model, an increase of 1 second in straight path walking time was associated with 26% greater rate of falls (rate ratio 1.26, 95% confidence interval 1.10-1.45). An increase in curved-path walking time was associated with 8% greater rate of falls (rate ratio 1.08, 95% confidence interval = 1.03-1.14). Neither walk test was associated with history of fall-related injuries or hospitalizations. CONCLUSIONS: Poor performance on straight- and curved-path walking performance was associated with a history of greater fall rates in the previous year but not with a history of fall-related injuries or hospitalizations. This information helps inform how previous fall history is related to performance on walking tests in the primary care setting.