Background: Frailty is considered highly prevalent in old age and to confer high risk for falls, disability, hospitalization, and mortality. Frailty has been considered synonymous with disability, comorbidity, and other characteristics, but it is recognized that it may have a biologic basis and be a distinct clinical syndrome. A standardized definition has not yet been established. 

Methods: To develop and operationalize a phenotype of frailty in older adults and assess concurrent and predictive validity, the study used data from the Cardiovascular Health Study. Participants were 5,317 men and women 65 years and older (4,735 from an original cohort recruited in 1989-90 and 582 from an African American cohort recruited in 1992-93). Both cohorts received almost identical baseline evaluations and 7 and 4 years of follow-up, respectively, with annual examinations and surveillance for outcomes including incident disease, hospitalization, falls, disability, and mortality. 

Results: Frailty was defined as a clinical syndrome in which three or more of the following criteria were present: unintentional weight loss (10 lbs in past year), self-reported exhaustion, weakness (grip strength), slow walking speed, and low physical activity. The overall prevalence of frailty in this community-dwelling population was 6.9%; it increased with age and was greater in women than men. Four-year incidence was 7.2%. Frailty was associated with being African American, having lower education and income, poorer health, and having higher rates of comorbid chronic diseases and disability. There was overlap, but not concordance, in the cooccurrence of frailty, comorbidity, and disability. This frailty phenotype was independently predictive (over 3 years) of incident falls, worsening mobility or ADL disability, hospitalization, and death, with hazard ratios ranging from 1.82 to 4.46, unadjusted, and 1.29-2.24, adjusted for a number of health, disease, and social characteristics predictive of 5-year mortality. Intermediate frailty status, as indicated by the presence of one or two criteria, showed intermediate risk of these outcomes as well as increased risk of becoming frail over 3-4 years of follow-up (odds ratios for incident frailty = 4.51 unadjusted and 2.63 adjusted for covariates, compared to those with no frailty criteria at baseline). 

Conclusions: This study provides a potential standardized definition for frailty in community-dwelling older adults and offers concurrent and predictive validity for the definition. It also finds that there is an intermediate stage identifying those at high risk of frailty. Finally, it provides evidence that frailty is not synonymous with either comorbidity or disability, but comorbidity is an etiologic risk factor for, and disability is an outcome of, frailty. This provides a potential basis for clinical assessment for those who are frail or at risk, and for future research to develop interventions for frailty based on a standardized ascertainment of frailty.

https://www.sharp.com/services/hospice/upload/phenotype5-13.pdf

Frailty in Older Adults Evidence for a Phenotype

This study evaluated a modified, timed version of the "Get-Up and Go" Test (Mathias et al, 1986) in 60 patients referred to a Geriatric Day Hospital (mean age 79.5 years). The patient is observed and timed while he rises from an arm chair, walks 3 meters, turns, walks back, and sits down again. The results indicate that the time score is (1) reliable (inter-rater and intra-rater); (2) correlates well with log-transformed scores on the Berg Balance Scale (r = -0.81), gait speed (r = -0.61) and Barthel Index of ADL (r = -0.78); and (3) appears to predict the patient's ability to go outside alone safely. These data suggest that the timed "Up & Go" test is a reliable and valid test for quantifying functional mobility that may also be useful in following clinical change over time. The test is quick, requires no special equipment or training, and is easily included as part of the routine medical examination.

The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons

Cardiovascular Health Study Collaborative Research Group : Frailty in older adults : evidence for a phenotype

To study risk factors for falling, we conducted a one-year prospective investigation, using a sample of 336 persons at least 75 years of age who were living in the community. All subjects underwent detailed clinical evaluation, including standardized measures of mental status, strength, reflexes, balance, and gait; in addition, we inspected their homes for environmental hazards. Falls and their circumstances were identified during bimonthly telephone calls. During one year of follow-up, 108 subjects (32 percent) fell at least once; 24 percent of those who fell had serious injuries and 6 percent had fractures. Predisposing factors for falls were identified in linear-logistic models. The adjusted odds ratio for sedative use was 28.3; for cognitive impairment, 5.0; for disability of the lower extremities, 3.8; for palmomental reflex, 3.0; for abnormalities of balance and gait, 1.9; and for foot problems, 1.8; the lower bounds of the 95 percent confidence intervals were 1 or more for all variables. The risk of falling increased linearly with the number of risk factors, from 8 percent with none to 78 percent with four or more risk factors (P less than 0.0001). About 10 percent of the falls occurred during acute illness, 5 percent during hazardous activity, and 44 percent in the presence of environmental hazards. We conclude that falls among older persons living in the community are common and that a simple clinical assessment can identify the elderly persons who are at the greatest risk of falling.

https://www.nejm.org/doi/pdf/10.1056/NEJM198812293192604

Risk factors for falls among elderly persons living in the community.

HEALTH-related quality of life (HRQL) is increasingly used as an outcome in clinical trials, effectiveness research, and research on quality of care. Factors that have facilitated this increased usage include the accumulating evidence that measures of HRQL are valid and "reliable,"1the publication of several large clinical trials showing that these outcome measures are responsive to important clinical changes,2-5and the successful development and testing of shorter instruments that are easier to understand and administer.6-13Because these measures describe or characterize what the patient has experienced as the result of medical care, they are useful and important supplements to traditional physiological or biological measures of health status. Given this improved ability to assess patients' health status, how can physicians and health care systems intervene to improve HRQL? Implicit in the use of measures of HRQL in clinical trials and in effectiveness research is the concept that clinical

Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes

The epidemiology of falls and syncope.

We randomly assigned frail elderly inpatients with a high probability of nursing-home placement to an innovative geriatric evaluation unit intended to provide improved diagnostic assessment, therapy, rehabilitation, and placement. Patients randomly assigned to the experimental (n = 63) and control (n = 60) groups were equivalent at entry. At one year, patients who had been assigned to the geriatric unit had much lower mortality than controls (23.8 vs. 48.3 per cent, P less than 0.005) and were less likely to have initially been discharged to a nursing home (12.7 vs. 30.0 per cent, P less than 0.05) or to have spent any time in nursing home during the follow-up period (26.9 vs. 46.7 per cent, P less than 0.05). The control-group patients had substantially more acute-care hospital days, nursing-home days, and acute-care hospital readmissions. Patients in the geriatric unit were significantly more likely to have improvement in functional status and morale than controls (P less than 0.05). Direct costs for institutional care were lower for the experimental group, especially after adjustment for survival. We conclude that geriatric evaluation units can provide substantial benefits at minimal cost for appropriate groups of elderly patients, over and above the benefits of traditional hospital approaches.

Effectiveness of a geriatric evaluation unit. A randomized clinical trial.

Objective: To review the epidemiology and causes of falls and fall-related injuries in nursing homes and to provide clinicians with a structured framework to evaluate and treat nursing home residen...

Falls in the Nursing Home

OBJECTIVE: To develop and test the effectiveness of a 5-item version of the Geriatric Depression Scale (GDS) in screening for depression in a frail community-dwelling older population.

DESIGN: A cross-sectional study.

SETTING: A geriatric outpatient clinic at the Sepulveda VA Medical Center, Sepulveda, California. PARTICIPANTS: A total of 74 frail outpatients (98.6% male, mean age 74.6) enrolled in an ongoing trial. MEASUREMENTS: Subjects had a comprehensive geriatric assessment that included a structured clinical evaluation for depression with geropsychiatric consultation. A 5-item version of the GDS was created from the 15-item GDS by selecting the items with the highest Pearson x1 correlation with clinical diagnosis of depression. Sensitivity, specificity, diagnostic accuracy, and positive and negative predictive values were calculated for the 15-item GDS and the new 5-item scale.

RESULTS: Subjects had a mean GDS score of 6.2 (range 0–15). Clinical evaluation found that 46% of subjects were depressed. The depressed and not depressed groups were similar with regard to demographics, mental status, educational level, and number of chronic medical conditions. Using clinical evaluation as the gold standard for depression, the 5-item GDS (compared with the 15-item GDS results shown in parentheses) had a sensitivity of. 97 (.94), specificity of. 85 (.83), positive predictive value of. 85 (.82), negative predictive value of. 97 (.94), and accuracy of. 90 (.88) for predicting depression. Significant agreement was found between depression diagnosis and the 5-item GDS (kappa = 0.81). Multiple other short forms were tested, and are discussed. The mean administration times for the 5- and 15-item GDS were. 9 and 2.7 minutes, respectively.

CONCLUSIONS: The 5-item GDS was as effective as the 15-item GDS for depression screening in this population, with a marked reduction in administration time. If validated elsewhere, it may prove to be a preferred screening test for depression.

Development and testing of a five-item version of the Geriatric Depression Scale.

• A study was performed to identify and rank risk factors for falling among populations of institutionalized (fallers, N=79, nonfallers, N=70) and noninstitutionalized (fallers, N =34, nonfallers, N = 34) elderly persons. Fallers were matched by age, sex, and living location to nonfaller control subjects. A nurse practitioner performed a comprehensive physical assessment in all subjects using a standardized protocol and physician consultation. Fallers in both populations were significantly more physically and functionally impaired than control subjects. Logistic regression identified hip weakness, poor balance, and number of prescribed medications as factors most strongly associated with falling among institutionalized subjects. A fall prediction model was developed from these findings yielding 76% overall predictive accuracy (89% sensitivity, 60% specificity). Using the model, the predicted 1-year risk of falling ranged from 12% for persons with none of the three risk factors to 100% for persons with all three risk factors. Findings among noninstitutionalized subjects were similar. These data support the concept of performing focused fall risk assessments to identify elderly patients at high risk for falling. (Arch Intern Med. 1989;149:1628-1633)

Karen R. Josephson

Papers

The epidemiology of falls and syncope.

Effectiveness of a geriatric evaluation unit. A randomized clinical trial.

Falls in the Nursing Home

Development and testing of a five-item version of the Geriatric Depression Scale.

Predictors of Falls Among Elderly People: Results of Two Population-Based Studies