Walking Ability and Brain Natriuretic Peptide Are Highly Predictive of Kidney Transplant Waiting List Removal.

Kidney transplant waitlist management is complex because waiting time is long, and the patients have significant comorbidities. Identification of patients at highest risk for waiting list removal for death and medical complications could allow better outcomes and allocation of resources. Methods: Demographics, functional and frailty assessment' and biochemical data were retrospectively analyzed on 313 consecutive patients listed for kidney transplant. Troponin, brain natriuretic peptide, components of the Fried frailty metrics, pedometer activity, and treadmill ability were measured at the time of transplant evaluation and at subsequent re-evaluations. Cox proportional hazards models were used to identify factors associated with death or waiting list removal for medical reasons. Multivariate models were created to identify significant predictor sets. Results: Among 249 patients removed while waitlisted, 19 (6.1%) died and 51 (16.3%) were removed for medical reasons. Mean follow-up duration was 2.3 y (±1.5 y). 417 sets of measurements were collected. Significant (P < 0.05) non-time-dependent variables associated with the composite outcome identified on univariate analysis included N-terminal probrain natriuretic peptide (BNP), treadmill ability, pedometer activity, diagnosis of diabetes and the Center of Epidemiological Studies Depression Scale question asking how many days per week could you not get going. Significant time-dependent factors included BNP, treadmill ability, Up and Go, pedometer activity, handgrip, 30 s chair sit-stand test, and age. The optimal time-dependent predictor set included BNP, treadmill ability, and patient age. Conclusions: Changes in functional and biochemical markers are predictive of kidney waitlist removal for death and medical reasons. BNP and measures of walking ability were of particular importance.

Psychosocial characteristics of patients evaluated for kidney transplant and associations with functional and frailty metrics at a veterans affairs hospital.

BACKGROUND: The effect of psychosocial problems on listing outcomes and potential interactions with functional metrics is not well-characterized among Veteran transplant candidates. METHODS: The results from psychosocial evaluations, frailty metrics, and biochemical markers were collected on 375 consecutive Veteran kidney transplant candidates. Psychosocial diagnoses were compared between patients listed or denied for transplant. Functional abilities were compared among patients with or without psychosocial diagnoses and then evaluated based on reason for denial. RESULTS: Eighty-four percent of patients had a psychosocial diagnosis. Common issues included substance or alcohol abuse (62%), psychiatric diagnoses (50%), and poor adherence (25%). Patients with psychiatric diagnoses, cognitive impairments, and poor adherence were more likely to be denied for transplant (P < .05). Patients with depression, PTSD, and anxiety did not have worse functional ability, but experienced more exhaustion than patients without these problems. Patients denied for medical but not purely psychosocial reasons had worse troponin and functional metrics compared with listed patients. CONCLUSION: Over 80% of patients with a psychosocial diagnosis were listed; however, poor adherence was a particularly important reason for denial for purely psychosocial reasons. Patients with psychosocial diagnoses generally were not more functionally limited than their counterparts without psychosocial diagnoses or those listed for transplant.

Frailty measures can be used to predict the outcome of kidney transplant evaluation.

BACKGROUND: Experience incorporating frailty and functional metrics in the transplant evaluation process is limited. We hypothesized that simple tests correlate with kidney transplant listing outcomes. METHODS: Frailty metrics, treadmill ability, pedometer data, troponin T, and brain natriuretic peptide were collected on 375 consecutive kidney transplant evaluations between July 2015 and December 2018. Patients initially denied were compared with those listed or deferred. Frailty metrics included handgrip, chair sit-stand, up-and-go, chair sit-reach, and questions related to exhaustion. RESULTS: A total of 95 (25%) patients were initially denied. Those denied were older, diabetic, or had higher body mass indexes. Frailty metrics including chair sit-stand, up-and-go, chair sit-reach, grip strength, and exhaustion; biochemical markers troponin and brain natriuretic peptide; and pedometer and treadmill ability were all significantly associated with denial (P < .001). The best order three model combining parsimony and predictiveness included treadmill ability, exhaustion, and troponin. The most predictive pedometer model also included exhaustion and up-and-go. The best order three model excluding biochemical markers, pedometer, and treadmill results included up-and-go, exhaustion, and chair sit-reach. CONCLUSION: Outcomes after on-site kidney transplant evaluation strongly correlated with the results of common clinical and functional frailty metrics.