Search

INTRODUCTION: Uremic toxins contributing to increased risk of death remain largely unknown. We used untargeted metabolomics to identify plasma metabolites associated with mortality in patients receiving maintenance hemodialysis. METHODS: We measured metabolites in serum samples from 522 Longitudinal US/Canada Incident Dialysis (LUCID) study participants. We assessed the association between metabolites and 1-year mortality, adjusting for age, sex, race, cardiovascular disease, diabetes, body mass index, serum albumin, Kt/Vurea, dialysis duration, and country. We modeled these associations using limma, a metabolite-wise linear model with empirical Bayesian inference, and 2 machine learning (ML) models: Least absolute shrinkage and selection operator (LASSO) and random forest (RF). We accounted for multiple testing using a false discovery rate (pFDR) adjustment. We defined significant mortality-metabolite associations as pFDR < 0.1 in the limma model and metabolites of at least medium importance in both ML models. RESULTS: The mean age of the participants was 64 years, the mean dialysis duration was 35 days, and there were 44 deaths (8.4%) during a 1-year follow-up period. Two metabolites were significantly associated with 1-year mortality. Quinolinate levels (a kynurenine pathway metabolite) were 1.72-fold higher in patients who died within year 1 compared with those who did not (pFDR, 0.009), wheras mesaconate levels (an emerging immunometabolite) were 1.57-fold higher (pFDR, 0.002). An additional 42 metabolites had high importance as per LASSO, 46 per RF, and 9 per both ML models but were not significant per limma. CONCLUSION: Quinolinate and mesaconate were significantly associated with a 1-year risk of death in incident patients receiving maintenance hemodialysis. External validation of our findings is needed.

Older compatible living donor kidney transplant (CLDKT) recipients have higher mortality and death-censored graft failure (DCGF) compared to younger recipients. These risks may be amplified in older incompatible living donor kidney transplant (ILDKT) recipients who undergo desensitization and intense immunosuppression. In a 25-center cohort of ILDKT recipients transplanted between September 24, 1997, and December 15, 2016, we compared mortality, DCGF, delayed graft function (DGF), acute rejection (AR), and length of stay (LOS) between 234 older (age ≥60 years) and 1172 younger (age 18-59 years) recipients. To investigate whether the impact of age was different for ILDKT recipients compared to 17 542 CLDKT recipients, we used an interaction term to determine whether the relationship between posttransplant outcomes and transplant type (ILDKT vs CLDKT) was modified by age. Overall, older recipients had higher mortality (hazard ratio: 1.632.072.65, P < .001), lower DCGF (hazard ratio: 0.360.530.77, P = .001), and AR (odds ratio: 0.390.540.74, P < .001), and similar DGF (odds ratio: 0.461.032.33, P = .9) and LOS (incidence rate ratio: 0.880.981.10, P = 0.8) compared to younger recipients. The impact of age on mortality (interaction P = .052), DCGF (interaction P = .7), AR interaction P = .2), DGF (interaction P = .9), and LOS (interaction P = .5) were similar in ILDKT and CLDKT recipients. Age alone should not preclude eligibility for ILDKT.

IntroductionLoneliness, "a subjective feeling of being isolated", is a strong predictor of adverse health. We characterized loneliness in patients with end-stage liver disease (ESLD) awaiting liver transplantation (LT).MethodsWe surveyed loneliness in ambulatory ESLD adults awaiting LT at 7 U.S. sites using the validated UCLA Three-Item Loneliness Scale, May2020-Jan2021; "lonely"=total ≥5. Liver Frailty Index (LFI) assessed frailty; "frail"=LFI≥4.4. Logistic regression associated loneliness and co-variables.ResultsOf 454 participants, median MELDNa was 14 (IQR 10-19) and 26% met criteria for "lonely". Compared to those not lonely, those lonely were younger (57 v. 61y), more likely to be female (48% v. 31%) or frail (21 v. 11%), and less likely to be working (15% v. 26%) or in a committed partnership (52% v. 71%). After multivariable adjustment, frailty (OR=2.24, 95%CI=1.23-4.08), younger age (OR=1.19, 95%CI=1.07-1.34), female sex (OR=1.83, 95%CI=1.14-2.92), not working (OR=2.16, 95%CI=1.16-4.03), and not in a committed partnership (OR=2.07, 95%CI=1.29-3.32) remained significantly associated with higher odds of loneliness.ConclusionLoneliness is prevalent in adults awaiting LT, and independently associated with younger age, female sex and physical frailty. These data lay the foundation to investigate the extent to which loneliness impacts health outcomes in LT, as in the general population. Clinical Trial Registry Website: https://clinicaltrials.gov Trial Number: NCT03228290.

Acute kidney injury (AKI) and frailty are major drivers of outcomes among patients with cirrhosis. What is unknown is the impact of physical frailty on the development of AKI. We included adults with cirrhosis without hepatocellular carcinoma listed for liver transplantation at nine US centers (n = 1,033). Frailty was assessed using the Liver Frailty Index (LFI); "frail" was defined by LFI ≥ 4.2. Chronic kidney disease as a baseline estimated glomerular filtration rate

Physical frailty and impaired cognition are common in patients with cirrhosis. Physical frailty can be assessed using performance-based tests, but the extent to which impaired cognition may impact performance is not well characterized. We assessed the relationship between impaired cognition and physical frailty in patients with cirrhosis. We enrolled 1,623 ambulatory adult patients with cirrhosis waiting for liver transplantation at 10 sites. Frailty was assessed with the liver frailty index (LFI; "frail," LFI ≥ 4.4). Cognition was assessed at the same visit with the number connection test (NCT); continuous "impaired cognition" was examined in primary analysis, with longer NCT (more seconds) indicating worse impaired cognition. For descriptive statistics, "impaired cognition" was NCT ≥ 45 seconds. Linear regression associated frailty and impaired cognition; competing risk regression estimated subhazard ratios (sHRs) of wait-list mortality (i.e., death/delisting for sickness). Median NCT was 41 seconds, and 42% had impaired cognition. Median LFI (4.2 vs. 3.8) and rates of frailty (38% vs. 20%) differed between those with and without impaired cognition. In adjusted analysis, every 10-second NCT increase associated with a 0.08-LFI increase (95% confidence interval [CI], 0.07-0.10). In univariable analysis, both frailty (sHR, 1.63; 95% CI, 1.43-1.87) and impaired cognition (sHR, 1.07; 95% CI, 1.04-1.10) associated with wait-list mortality. After adjustment, frailty but not impaired cognition remained significantly associated with wait-list mortality (sHR, 1.55; 95% CI, 1.33-1.79). Impaired cognition mediated 7.4% (95% CI, 2.0%-16.4%) of the total effect of frailty on 1-year wait-list mortality. Conclusion: Patients with cirrhosis with higher impaired cognition displayed higher rates of physical frailty, yet frailty independently associated with wait-list mortality while impaired cognition did not. Our data provide evidence for using the LFI to understand mortality risk in patients with cirrhosis, even when concurrent impaired cognition varies.

Background & aimsCirrhosis leads to malnutrition and muscle wasting that manifests as frailty, which may be influenced by cirrhosis aetiology. We aimed to characterize the relationship between frailty and cirrhosis aetiology.MethodsIncluded were adults with cirrhosis listed for liver transplantation (LT) at 10 US centrer who underwent ambulatory testing with the Liver Frailty Index (LFI; 'frail' = LFI ≥ 4.4). We used logistic regression to associate aetiologies and frailty, and competing risk regression (LT as the competing risk) to determine associations with waitlist mortality (death/delisting for sickness).ResultsOf 1,623 patients, rates of frailty differed by aetiology: 22% in chronic hepatitis C, 31% in alcohol-associated liver disease (ALD), 32% in non-alcoholic fatty liver disease (NAFLD), 21% in autoimmune/cholestatic and 31% in 'other' (P  .05 for each). No interaction between frailty and aetiology on the association with waitlist mortality was found (P > .05 for each interaction term).ConclusionsFrailty is more common in patients with ALD, NAFLD and 'other' aetiologies. However, frailty was associated with waitlist mortality independent of cirrhosis aetiology, supporting the applicability of frailty across all cirrhosis aetiologies.

Background and aimsFrailty, as measured by the Liver Frailty Index (LFI), is associated with liver transplant (LT) waitlist mortality. We sought to identify an optimal LFI cutoff that predicts waitlist mortality.Approach and resultsAdults with cirrhosis awaiting LT without hepatocellular carcinoma at nine LT centers in the United States with LFI assessments were included. Multivariable competing risk analysis assessed the relationship between LFI and waitlist mortality. We identified a single LFI cutoff by evaluating the fit of the competing risk models, searching for the cutoff that gave the best model fit (as judged by the pseudo-log-likelihood). We ascertained the area under the curve (AUC) in an analysis of waitlist mortality to find optimal cutoffs at 3, 6, or 12 months. We used the AUC to compare the discriminative ability of LFI+Model for End Stage Liver Disease-sodium (MELDNa) versus MELDNa alone in 3-month waitlist mortality prediction. Of 1,405 patients, 37 (3%), 82 (6%), and 135 (10%) experienced waitlist mortality at 3, 6, and 12 months, respectively. LFI was predictive of waitlist mortality across a broad LFI range: 3.7-5.2. We identified an optimal LFI cutoff of 4.4 (95% confidence interval [CI], 4.0-4.8) for 3-month mortality, 4.2 (95% CI, 4.1-4.4) for 6-month mortality, and 4.2 (95% CI, 4.1-4.4) for 12-month mortality. The AUC for prediction of 3-month mortality for MELDNa was 0.73; the addition of LFI to MELDNa improved the AUC to 0.79.ConclusionsLFI is predictive of waitlist mortality across a wide spectrum of LFI values. The optimal LFI cutoff for waitlist mortality was 4.4 at 3 months and 4.2 at 6 and 12 months. The discriminative performance of LFI+MELDNa was greater than MELDNa alone. Our data suggest that incorporating LFI with MELDNa can more accurately represent waitlist mortality in LT candidates.

Background & aimsTo date, studies evaluating the association between frailty and mortality in patients with cirrhosis have been limited to assessments of frailty at a single time point. We aimed to evaluate changes in frailty over time and their association with death/delisting in patients too sick for liver transplantation.MethodsAdults with cirrhosis, listed for liver transplantation at 8 US centers, underwent ambulatory longitudinal frailty testing using the liver frailty index (LFI). We used multilevel linear mixed-effects regression to model and predict changes in LFI (ΔLFI) per 3 months, based on age, gender, model for end-stage liver disease (MELD)-Na, ascites, and hepatic encephalopathy, categorizing patients by frailty trajectories. Competing risk regression evaluated the subhazard ratio (sHR) of baseline LFI and predicted ΔLFI on death/delisting, with transplantation as the competing risk.ResultsWe analyzed 2,851 visits from 1,093 outpatients with cirrhosis. Patients with severe worsening of frailty had worse baseline LFI and were more likely to have non-alcoholic fatty liver disease, diabetes, or dialysis-dependence. After a median follow-up of 11 months, 223 (20%) of the overall cohort died/were delisted because of sickness. The cumulative incidence of death/delisting increased by worsening ΔLFI group. In competing risk regression adjusted for baseline LFI, age, height, MELD-Na, and albumin, a 0.1 unit change in ΔLFI per 3 months was associated with a 2.04-fold increased risk of death/delisting (95% CI 1.35-3.09).ConclusionWorsening frailty was significantly associated with death/delisting independent of baseline frailty and MELD-Na. Notably, patients who experienced improvements in frailty had a lower risk of death/delisting. Our data support the longitudinal measurement of frailty, using the LFI, in patients with cirrhosis and lay the foundation for interventional work aimed at reversing frailty.Lay summaryFrailty, as measured at a single time point, is predictive of death in patients with cirrhosis, but whether changes in frailty over time are associated with death is unknown. In a study of over 1,000 patients with cirrhosis who underwent frailty testing, we demonstrate that worsening frailty is strongly linked with mortality, regardless of baseline frailty and liver disease severity. Notably, patients who experienced improvements in frailty over time had a lower risk of death/delisting. Our data support the longitudinal measurement of frailty in patients with cirrhosis and lay the foundation for interventional work aimed at reversing frailty.

BACKGROUND: Hepatitis C virus-positive (HCV+) kidney transplant (KT) recipients are at increased risks of rejection and graft failure. The optimal induction agent for this population remains controversial, particularly regarding concerns that antithymocyte globulin (ATG) might increase HCV-related complications. METHODS: Using Scientific Registry of Transplant Recipients and Medicare claims data, we studied 6780 HCV+ and 139 681 HCV- KT recipients in 1999-2016 who received ATG or interleukin-2 receptor antagonist (IL2RA) for induction. We first examined the association of recipient HCV status with receiving ATG (versus IL2RA) using multilevel logistic regression. Then, we studied the association of ATG (versus IL2RA) with KT outcomes (rejection, graft failure, and death) and hepatic complications (liver transplant registration and cirrhosis) among HCV+ recipients using logistic and Cox regression. RESULTS: HCV+ recipients were less likely to receive ATG than HCV- recipients (living donor, adjusted odds ratio [aOR] = 0.640.770.91; deceased donor, aOR = 0.710.810.92). In contrast, HCV+ recipients who received ATG were at lower risk of acute rejection compared to those who received IL2RA (1-y crude incidence = 11.6% versus 12.6%; aOR = 0.680.820.99). There was no significant difference in the risks of graft failure (adjusted hazard ratio [aHR] = 0.861.001.17), death (aHR = 0.850.951.07), liver transplant registration (aHR = 0.580.971.61), and cirrhosis (aHR = 0.730.921.16). CONCLUSIONS: Our findings suggest that ATG, as compared to IL2RA, may lower the risk of acute rejection without increasing hepatic complications in HCV+ KT recipients. Given the higher rates of acute rejection in this population, ATG appears to be safe and reasonable for HCV+ recipients.

IntroductionMultifactorial biological processes underpin dysregulation over several individual physiological systems. However, it is challenging to characterize and model this multisystemic dysregulation and its relationship with individual physiologic systems. We operationalized a theory-driven measure of multisystem dysregulation and empirically tested for measurement differences by key characteristics.MethodsWe used the Women's Health and Aging Studies (WHAS) I and II (N = 649), and the Health ABC study (N = 1515). Twelve biomarkers representing multiple systems including stress response (e.g., inflammation), endocrine system, and energy regulation were identified. A series of confirmatory factor analyses (CFA) were conducted to evaluate the interplay between physiological systems and underlying multisystem dysregulation. We evaluated convergent criterion validity of a score for multisystem dysregulation against the physical frailty phenotype, and predictive criterion validity with incidence of walking difficulty and mortality.ResultsA bifactor CFA, a model in which dysregulation of individual systems proceeds independently of generalized dysregulation, fit data well in WHAS (RMSEA: 0.019; CFI: 0.977; TLI: 0.961) and Health ABC (RMSEA: 0.047; CFI: 0.874; TLI: 0.787). The general dysregulation factor was associated with frailty (OR: 2.2, 95 % CI: 1.4, 3.5), and elevated risk of incident walking difficulty and mortality. Findings were replicated in Health ABC.DiscussionBiomarker data from two epidemiologic studies support the construct of multisystem physiological dysregulation. Results further suggest system-specific and system-wide processes have unique and non-overlapping contributions to dysregulation in biological markers.

Background & aimsFrailty is associated with mortality in patients with cirrhosis. We measured frailty using 3 simple tests and calculated Liver Frailty Index (LFI) scores for patients at multiple ambulatory centers. We investigated associations between LFI scores, ascites, and hepatic encephalopathy (HE) and mortality.MethodsAdults without hepatocellular carcinoma who were on the liver transplantation waitlist at 9 centers in the United States (N = 1044) were evaluated using the LFI; LFI scores of at least 4.5 indicated that patients were frail. We performed logistic regression analyses to assess associations between frailty and ascites or HE and competing risk regression analyses (with liver transplantation as the competing risk) to estimate sub-hazard ratios (sHRs) of waitlist mortality (death or removal from the waitlist).ResultsOf study subjects, 36% had ascites, 41% had HE, and 25% were frail. The odds of frailty were higher for patients with ascites (adjusted odd ratio 1.56, 95% confidence interval [CI] 1.15-2.14) or HE (odd ratio 2.45, 95% CI 1.80-3.33) than for those without these features. Larger proportions of frail patients with ascites (29%) or HE (30%) died while on the waitlist compared with patients who were not frail (17% of patients with ascites and 20% with HE). In univariable analysis, ascites (sHR 1.52, 95% CI 1.14-2.05), HE (sHR 1.84, 95% CI 1.38-2.45), and frailty (sHR 2.38, 95% CI 1.77-3.20) were associated with waitlist mortality. In adjusted models, only frailty remained significantly associated with waitlist mortality (sHR 1.82, 95% CI 1.31-2.52); ascites and HE were not.ConclusionsFrailty is a prevalent complication of cirrhosis that is observed more frequently in patients with ascites or HE and independently associated with waitlist mortality. LFI scores can be used to objectively quantify risk of death related to frailty-in excess of liver disease severity-in patients with cirrhosis.

A consensus conference on frailty in kidney, liver, heart, and lung transplantation sponsored by the American Society of Transplantation (AST) and endorsed by the American Society of Nephrology (ASN), the American Society of Transplant Surgeons (ASTS), and the Canadian Society of Transplantation (CST) took place on February 11, 2018 in Phoenix, Arizona. Input from the transplant community through scheduled conference calls enabled wide discussion of current concepts in frailty, exploration of best practices for frailty risk assessment of transplant candidates and for management after transplant, and development of ideas for future research. A current understanding of frailty was compiled by each of the solid organ groups and is presented in this paper. Frailty is a common entity in patients with end-stage organ disease who are awaiting organ transplantation, and affects mortality on the waitlist and in the posttransplant period. The optimal methods by which frailty should be measured in each organ group are yet to be determined, but studies are underway. Interventions to reverse frailty vary among organ groups and appear promising. This conference achieved its intent to highlight the importance of frailty in organ transplantation and to plant the seeds for further discussion and research in this field.

BackgroundFrail obese community-dwelling older adults are at increased mortality risk. Among hemodialysis (HD) patients, frailty is common and associated with increased mortality risk; however, in dialysis, obesity is associated with decreased mortality risk. Whether the frail-obese phenotype is associated with increased mortality risk among HD patients remains unclear.MethodsThis study included 370 incident HD patients enrolled in the Predictors of Arrhythmic and Cardiovascular Risk in End Stage Renal Disease (PACE) study. We measured frailty using the Fried phenotype, general obesity [body mass index (BMI) ≥30 kg/m2] and abdominal obesity [waist:hip ratio (WHR) ≥median WHR] and estimated their associations with mortality.ResultsThe mean age was 55 years, with 42% female, 73% African American, 57% diabetic and 52% frail. Frail HD patients had higher mean BMI (frail = 30.3 kg/m2, non-frail = 28.3 kg/m2; P = 0.02) and similar WHR (P = 0.8). Twenty-two percent were frail with general obesity and 27% were frail with abdominal obesity. Frailty was associated with 1.66-fold increased mortality risk [95% confidence interval (CI) 1.03-2.67]. BMI was associated with a decreased mortality risk [25.0-29.9 kg/m2 hazard ratio (HR) 0.53 (95% CI 0.31-0.93); ≥30 kg/m2 HR 0.34 (95% CI 0.19-0.62)]. Frailty was associated with elevated mortality risk among HD patients with general [HR 3.77 (95% CI 1.10-12.92)] and abdominal obesity [HR 2.38 (95% CI 1.17-4.82)]. Frailty was not associated with mortality among HD patients without general or abdominal obesity.ConclusionsIn adults initiating HD, frailty was associated with elevated mortality risk, even among the obese. Frail-obese HD patients may be a high-risk, often-overlooked population, as obesity is assumed to be protective. Measurement of frailty and obesity may facilitate risk stratification.