The Road to Frailty Is Paved With Good Intentions

Can you see frailty? An exploratory study of the use of a patient photograph in the transcatheter aortic valve implantation programme

BACKGROUND

Frailty is an important consideration in the assessment of transcatheter aortic valve implantation patients. The documentation of a patient photograph to augment the objective measurement of frailty has been adopted by some transcatheter aortic valve implantation multidisciplinary (TAVI) programmes.

METHODS

We used a prospective two-part multimethod study design. In part A, we examined the concordance between the Essential Frailty Toolset (EFT) and the score attributed by healthcare professionals based on visual rating of photographs using kappa estimates and linear regression. In part B, we conducted a content analysis qualitative study to elicit information about how the TAVI multidisciplinary team used photographs to form impressions about frailty.

FINDINGS

Part A: 94 healthcare professionals (registered nurses/allied health 65%; physicians 35%) rated 40 representative photographs (women 42.5%; mean age 83.4±7.5; mobility aid 40%) between 0 (robust) and 5 (very frail). The estimate of weighted kappa was 0.2575 (95% confidence interval 0.082-0.433), indicating fair agreement between median healthcare professional visual and EFT score, especially when the EFT was 1 or 4. There was significant discordance among raters (kappa estimate 0.110, 95% confidence interval 0.079-0.141). Age, sex and mobility aid did not have a significant effect on score discordance. Part B: 12 members of the TAVI multidisciplinary team (registered nurses 27.5%; physicians 72.5%) were shown a series of six representative patient photographs. The following themes emerged from the data: (a) looking at the outside; (b) thinking about the inside; (c) use but with caution; and (d) a better approach.

CONCLUSION

A patient photograph offers complementary information to the multimodality assessment of TAVI patients.

Relation of Frailty to Outcomes After Catheter Ablation of Atrial Fibrillation

Catheter ablation for atrial fibrillation (AF) improves outcomes compared with medical treatment alone. Risk stratification for outcomes following AF ablation remains an important area of uncertainty. This analysis evaluated the association between frailty and outcomes following AF ablation. We evaluated US inpatients receiving AF ablation between January 1, 2016 and December 1, 2016 using Medicare fee-for-service billing codes. Diagnosis codes were used to calculate patients' Hospital Frailty Risk Score, with the cohort divided according to established cut-points of low (<5), intermediate (5 to 15), and high (>15) risk for frailty. The primary outcome was survival. Among 5,070 in patients treated with catheter ablation (mean age 74.9 ± 6.8 years, 51.1% female), 38.6% were defined as frail with a Hospital Frailty Risk Score >5, including 8.3% at high risk. Mortality rates (up to 630 days) were 5.8% in the low-risk group, 23.4% in the intermediate-risk group, and 42.2% in the high-risk group (log-rank p values <0.001 for comparison between categories). In restricted cubic spline regression analysis, the adjusted hazard ratios for long-term mortality monotonically increased with increasing values of the Hospital Frailty Risk Score (adjusted hazard ratio 1.065, 95% confidence interval 1.054 to 1.077). In secondary end points, frailty was independently associated with length of stay, postprocedure 30-day mortality, 30-day readmission and postdischarge 30-day mortality rates. In conclusion, frailty as assessed by a claims-based score is common in inpatient recipients of AF ablation, and provides risk stratification for mortality and other key clinical outcomes.

Development of a Claims-based Frailty Indicator Anchored to a Well-established Frailty Phenotype

BACKGROUND

Fried and colleagues described a frailty phenotype measured in the Cardiovascular Health Study (CHS). This phenotype is manifest when ≥3 of the following are present: low grip strength, low energy, slowed waking speed, low physical activity, or unintentional weight loss. We sought to approximate frailty phenotype using only administrative claims data to enable frailty to be assessed without physical performance measures.

STUDY DESIGN

We used the CHS cohort data linked to participants Medicare claims. The reference standard was the frailty phenotype measured at visits 5 and 9. With penalized logistic regression, we developed a parsimonious index for predicting the frailty phenotype using a linear combination of diagnoses, operationalized with claims data. We assessed the predictive validity of frailty index by examining how well it predicted common aging-related outcomes including hospitalization, disability, and death.

RESULTS

There were 4454 CHS participants from 4 clinical sites. In total, 84% were white, 58% were women and their mean age was 72 years at enrollment. Approximately 11% of the cohort was frail. The model had an area under the receiver operating curve of 0.75 to concurrently predict a frailty phenotype. This Claims-based Frailty Indicator significantly predicted death (odds ratio, 1.84), time to death (hazards ratio, 1.71), number of hospital admissions (incidence rate ratio, 1.74), and nursing home admission (odds ratio, 1.47) in models adjusted for age and sex.

CONCLUSIONS

Claims data alone can be used to classify individuals as frail and nonfrail. The Claims-based Frailty Indicator might be used in research with large datasets for confounding adjustment or risk prediction. The indicator might also be used for emergency preparedness for identification of regions enriched with frail individuals.

Frailty, Physical Activity, and Mobility in Patients With Cardiac Implantable Electrical Devices

Background

This study aimed to demonstrate the feasibility of measuring frailty in patients with cardiac implantable electrical devices while validating the physiologic significance of device‐detected physical activity by evaluating its association with frailty and mobility.

Methods and Results

Outpatients with cardiac implantable electrical devices compatible with physical activity analysis with at least 7 days of data were eligible. Office testing included frailty status (Study of Osteoporotic Fractures instrument), gait speed (m/s), mobility according to the Timed Up and Go (TUG) test (seconds), and daily physical activity (h/d) as measured by cardiac implantable electrical device. Among 219 patients, Study of Osteoporotic Fractures testing found 39.7% to be robust, 47.5% prefrail, and 12.8% frail. The mean gait speed for the cohort was 0.8±0.3 m/s, mean TUG time was 10.9±4.4 seconds, and mean activity was 2.8±1.9 h/d. Frail patients were markedly more likely to have gait speeds <0.8 m/s (OR 6.25, 95% CI 1.79‐33.3). In unadjusted analyses each 1‐hour increase in mean daily activity was associated with a 46% reduction of frail phenotype (OR 0.54, 95% CI 0.40‐0.74) versus robust and with a 27% reduction in the odds of having the prefrail phenotype (OR 0.73, 95% CI 0.62‐0.86). After adjustment this association per hour of activity persisted, with an adjusted OR for frailty of 0.71 (95% CI 0.51‐0.99) and adjusted OR for prefrailty of 0.81 (95% CI 0.67‐0.99).

Conclusions

Frailty and mobility limitation are common among cardiac implantable electrical device patients and are correlated to device‐detected physical activity.