Low Daily Step Count Is Associated With a High Risk of Hospital Admission and Death in Community-Dwelling Patients With Cirrhosis.

BACKGROUND & AIMS: Daily step count measures cardiorespiratory fitness and has been associated with clinical outcomes. However, its utility in patients with cirrhosis remains largely unexplored. We aimed to investigate the association between step count, frailty metrics, and clinical outcomes in cirrhosis. METHODS: All participants underwent frailty evaluation with the liver frailty index, 6-minute walk test, and gait speed test. To monitor step count, participants were given a personal activity tracker (PAT). A subset also was invited to use Exercise and Liver FITness (EL-FIT). Daily step counts from the first week of PAT use and frailty metrics were investigated as predictors of hospital admission and mortality. RESULTS: There were 116 patients included (age, 56 ± 11 y; male, 55%; body mass index, 31 ± 7; model for end-stage liver disease-sodium, 15 ± 7). The main etiologies of cirrhosis were alcohol-related (33%) and nonalcoholic steatohepatitis (30%). Monitoring for the week was accomplished in 80% of participants given both PAT+EL-FIT vs 62% in those with PAT only (P = .04). During follow-up evaluation, hospital admission was observed in 55% and death in 15%. Kaplan-Meir curves showed increased readmission and deaths among patients performing in the lowest quartile (ie, <1200 steps/d). When adjusted by model for end-stage liver disease-sodium and EL-FIT use, the lowest quartile was associated with hospital admission and death (hazard ratio, HR [95% confidence interval], 1.90 [1.09-3.30] and 3.46 [1.23-9.68], respectively), along with the 6-minute walk test (HR, 0.63 [0.47-0.83] and 0.66 [0.44-0.99] per 100 m, respectively) and gait speed test (HR, 0.29 [0.11-0.72] and 0.21 [0.05-0.84], respectively). CONCLUSIONS: Daily step count predicted hospital admission and mortality rates in patients with cirrhosis, similar to the current standard frailty metrics. Incorporation of a physical training-dedicated smartphone application was associated with increased PAT use and step reporting.

Wearables, Physical Activity, and Exercise Testing in Liver Disease.

Physical inactivity is a major cause of deterioration in all forms of advanced liver disease. It is especially important as a driver of the components of the metabolic syndrome, with nonalcoholic fatty liver disease rapidly becoming the dominant cause of liver-related death worldwide. Growing realization of the health benefits of moderate-to-vigorous physical activity has captured the interest of persons who desire to improve their health, including those at risk for chronic liver injury. They are increasingly adopting wearable activity trackers to measure the activity that they seek to improve. Improved physical activity is the key lifestyle behavior that can improve cardiorespiratory fitness, which is most accurately measured with cardiopulmonary exercise testing (CPET). CPET is showing promise to identify risk and predict outcomes in transplant hepatology. Team effort among engaged patients, social support networks, and clinicians supported by web-based connectivity is needed to fully exploit the benefits of physical activity tracking.

Prehabilitation-Driven Changes in Frailty Metrics Predict Mortality in Patients With Advanced Liver Disease.

INTRODUCTION: Frailty is a predictor of morbidity and mortality in cirrhosis. Although evidence for prehabilitation is promising, the data for liver transplant (LT) candidates are limited. The primary aim of this study was to evaluate the effect of a novel prehabilitation strategy on changes in frailty metrics and survival in LT candidates. The secondary aim was to determine liver-related and extrahepatic conditions associated with frailty. METHODS: In this ambispective cohort study, all patients underwent frailty assessment using the liver frailty index (LFI), 6-minute walk test, and gait speed test performed by a dedicated physical therapist. Home-based exercise prescription was individualized to each patient's baseline physical fitness. RESULTS: We included 517 patients (59% men, median age 61 years, and a model for end-stage liver disease score of 12) evaluated during 936 PT visits. Frailty metrics were affected by age, sex, and liver-related parameters, but not by model for end-stage liver disease. Patients with nonalcoholic fatty liver disease and alcohol-related cirrhosis had worse frailty metrics by all tools. We demonstrated the feasibility of prehabilitation in improving both LFI and 6-minute walk test, particularly in adherent patients. A median LFI improvement of 0.3 in frail patients was associated with improved survival in univariate analysis. Compliance with physical therapist visits (hazards ratio = 0.35 [0.18-0.67] for 2 visits and hazards ratio = 0.54 [0.31-0.94] for ≥3 visits) was independently associated with increased survival. DISCUSSION: Prehabilitation improves frailty metrics in LT candidates and is associated with a survival advantage. Our findings provide a framework for the standardized prehabilitation program in LT candidates while prioritizing compliance, adherence, and on-training LFI goal accomplishment.

Inpatient Frailty Assessment Is Feasible and Predicts Nonhome Discharge and Mortality in Decompensated Cirrhosis.

Objective inpatient frailty assessments in decompensated cirrhosis are understudied. We examined the feasibility of inpatient frailty measurements and associations with nonhome discharge, readmission, and all-cause mortality among patients admitted for cirrhosis complications. We conducted a prospective study at 3 liver transplantation (LT) centers. Frailty was assessed using the liver frailty index (LFI). Multivariable logistic and competing risk models evaluated associations between frailty and clinical outcomes. We included 211 patients with median MELD-Na score 21 (interquartile range [IQR],15-27); 96 (45%) were women, and 102 (48%) were on the LT waiting list. At a median follow-up of 8.3 months, 29 patients (14%) were nonhome discharged, 144 (68%) were readmitted, 70 (33%) underwent LT, and 44 (21%) died. A total of 124 patients (59%) were frail, with a median LFI of 4.71 (IQR, 4.07-5.54). Frail patients were older (mean, 59 versus 54 years) and more likely to have chronic kidney disease (40% versus 20%; P = 0.002) and coronary artery disease (17% versus 7%; P = 0.03). Frailty was associated with hospital-acquired infections (8% versus 1%; P = 0.02). In multivariable models, LFI was associated with nonhome discharge (odds ratio, 1.81 per 1-point increase; 95% confidence interval [CI], 1.14-2.86). Frailty (LFI≥4.5) was associated with all-cause mortality in models accounting for LT as competing risk (subhazard ratio [sHR], 2.4; 95% CI, 1.13-5.11); results were similar with LFI as a continuous variable (sHR, 1.62 per 1-point increase; 95% CI, 1.15-2.28). A brief, objective inpatient frailty assessment was feasible and predicted nonhome discharge and mortality in decompensated cirrhosis. Inpatient point-of-care frailty assessment prior to hospital discharge can be useful for risk stratification and targeted interventions to improve physical fitness and reduce adverse outcomes.

Introducing EL-FIT (Exercise and Liver FITness): A Smartphone App to Prehabilitate and Monitor Liver Transplant Candidates.

Preserved physical function is key for successful liver transplantation (LT); however, prehabilitation strategies are underdeveloped. We created a smartphone application (app), EL-FIT (Exercise and Liver FITness), to facilitate exercise training in end-stage liver disease (ESLD). In this feasibility study, we tested EL-FIT app usage and the accuracy of physical activity data transfer and obtained feedback from initial users. A total of 28 participants used the EL-FIT app and wore a physical activity tracker for 38 ± 12 days (age, 60 ± 8 years; 57% males; Model for End-Stage Liver Disease-sodium, 19 ± 5). There was fidelity in data transfer from the tracker to the EL-FIT app. Participants were sedentary (1957 [interquartile range, 873-4643] steps/day) at baseline. Level of training assigned by the EL-FIT app agreed with that from a physical therapist in 89% of cases. Participants interacted with all app features (videos, perceived exertion, and gamification/motivational features). We rearranged training data to generate heart rate-validated steps as a marker of performance and showed that 35% of the participants had significant increases in their physical performance. Participants emphasized their interest in having choices to better engage in exercise, and they appreciated the sense of community the EL-FIT app generated. We showed that patients with ESLD are able to use and interact with the EL-FIT app. This novel smartphone app has the potential of becoming an invaluable tool for home-based prehabilitation in LT candidates.

Use of a Mobile-Assisted Telehealth Regimen to Increase Exercise in Transplant Candidates: A Home-Based Prehabilitation Pilot and Feasibility Trial.

INTRODUCTION: Physical fitness assessed by the Liver Frailty Index (LFI) and 6-minute walk test (6MWT) informs the prognosis of liver transplant candidates, although there are limited data on its reversibility after prehabilitation. On a home-based exercise trial, we aimed to improve LFI and 6MWT and to investigate trial feasibility and intervention adherence. METHODS: Liver transplant candidates with cirrhosis wore a personal activity tracker and used Exercise and Liver FITness app for 14 weeks, including a 2-week technology acclimation run-in. The 12-week intervention consisted of Exercise and Liver FITness app plus personal activity tracker and 15-/30-minute weekly calls with a physical activity coach aiming to complete ≥2 video-training sessions/week, or ≥500 step/d baseline increase for ≥8 weeks. We defined feasibility as ≥66% of subjects engaging in the intervention phase and adherence as ≥50% subjects meeting training end point. RESULTS: Thirty-one patients (61 ± 7 years, 71% female, model for end-stage liver disease 17 ± 5, ∼33% frail) consented and 21 (68%) started the intervention. In the 15 subjects who completed the study, LFI improved from 3.84 ± 0.71 to 3.47 ± 0.90 ( P = 0.03) and 6MWT from 318 ± 73 to 358 ± 64 m ( P = 0.005). Attrition reasons included death (n = 4) and surgery (n = 2). There was 57% adherence, better for videos than for walking, although daily steps significantly increased (3,508 vs baseline: 1,260) during best performance week. One adverse event was attributed to the intervention. DISCUSSION: Our clinical trial meaningfully improved LFI by 0.4 and 6MWT by 41 m and met feasibility/adherence goals. In-training daily step increase supported physical self-efficacy and intervention uptake, but maintenance remained a challenge despite counseling.

A Telemedicine Alternative to the 6-Minute Walk Test Using Personal Activity Trackers in Liver Transplant Candidates.

The COVID-19 pandemic has limited liver transplant (LT) candidates access to clinics. Telehealth methods to assess frailty are needed. We developed a method to estimate the step length of LT candidates, which would permit remotely obtaining the 6-min walk test (6MWT) distance with a personal activity tracker (PAT). Methods: 6MWT was performed while candidates wore a PAT. On first 21 subjects (stride cohort), the step length was measured and compared with calculated one (6MWT-distance/6MWT steps). On a second cohort (PAT-6MWT; n = 116), we collected the 6MWT step count and used multivariable models to generate formulas estimating step length. We multiplied the estimated step length times 6MWT steps to estimate the distance and compared it to the measured distance. The liver frailty index (LFI) and 6MWT were used as frailty metrics. Results: Measured/calculated step length were highly correlated (ρ = 0.85; P < 0.001) in the stride cohort. In the PAT-6MWT cohort, LFI was the strongest variable associated with step length, along with height, albumin, and large-volume paracentesis (R 2 = 0.58). On a second model without LFI, age, height, albumin, hemoglobin, and large-volume paracentesis were strongly associated with step length (R 2 = 0.45). There was a robust correlation between observed 6MWT and PAT-6MWT utilizing step length equations with (ρ = 0.80; P < 0.001) or without LFI (ρ = 0.75; P < 0.001). Frailty by 6MWT <250 m did not change significantly using the observed (16%) or the with/without LFI-estimated (14%/12%) methods. Conclusions: We created a method to obtain 6MWT distance remotely with the use of a PAT. This novel approach opens the possibility of performing telemedicine PAT-6MWT to monitor LT candidates' frailty status.