Association of Karnofsky Performance Status with waitlist mortality among older and younger adults awaiting kidney transplantation

Neuropalliative care in a tertiary-level hospital

OBJECTIVES

Palliative care in neurology is a recent specialty to improve the quality of life of patients with severe neurological diseases. This study aims to determine the frequency of neurological inpatients who had indication of palliative care, and evaluate the symptomatology, demographic profile, the need for supportive measures, advance directives for life and medical history of patients in a tertiary hospital in Brazil.

METHODS

This cross-sectional analytical study evaluated all patients admitted to the neurological semi-intensive care unit (ICU) at Hospital Israelita Albert Einstein with neurological conditions from February through August 2022. The Palliative Performance Scale (weight loss greater than 5% associated with body changes and a negative response to the question: 'Would you be surprised if the patient died within 1 year?') was used to indicate palliative care. Patients were divided into three groups: patients with palliative care needs (groupindication), patients without palliative care needs (groupwithout indication) and patients who received at least one assessment of a palliative care team (grouppalliative). Demographic data were analysed using the Χ2 test for qualitative and Kruskal-Wallis test for quantitative variables.

RESULTS

Of the 198 patients included in the study, 115 (58%) had palliative care needs. Only 6.9% received assessment by the palliative care team, and 9.56% had advance directives in their medical records. Patients in groupindication had a higher prevalence of symptoms, such as fatigue, depression, shortness of breath and lack of appetite, and required more supportive measures, such as oxygen therapy, enteral/parenteral nutrition, admissions at ICU and days in hospital.

CONCLUSION

Despite the high demand for palliative care in neurology, few patients receive this treatment, resulting in decreased quality of care. Therefore, greater integration and discussion of palliative care in neurology are needed.

Cost effectiveness of commercial portable ex vivo lung perfusion at a low-volume US lung transplant center

BACKGROUND

Portable ex vivo lung perfusion during lung transplantation is a resource-intensive technology. In light of its increasing use, we evaluated the cost-effectiveness of ex vivo lung perfusion at a low-volume lung transplant center in the USA.

METHODS

Patients listed for lung transplantation (2015-2021) in the United Network for Organ Sharing database were included. Quality-of-life was approximated by Karnofsky Performance Status scores 1-year post-transplant. Total transplantation encounter and 1-year follow-up costs accrued by our academic center for patients listed from 2018 to 2021 were obtained. Cost-effectiveness was calculated by evaluating the number of patients attaining various Karnofsky scores relative to cost.

RESULTS

Of the 13 930 adult patients who underwent lung transplant in the United Network for Organ Sharing database, 13 477 (96.7%) used static cold storage and 453 (3.3%) used ex vivo lung perfusion, compared to 30/58 (51.7%) and 28/58 (48.3%), respectively, at our center. Compared to static cold storage, median total costs at 1 year were higher for ex vivo lung perfusion ($918 000 vs. $516 000; p = 0.007) along with the cost of living 1 year with a Karnofsky functional status of 100 after transplant ($1 290 000 vs. $841 000). In simulated scenarios, each Karnofsky-adjusted life year gained by ex vivo lung perfusion was 1.00-1.72 times more expensive.

CONCLUSIONS

Portable ex vivo lung perfusion is not currently cost-effective at a low-volume transplant centers in the USA, being 1.53 times more expensive per Karnofsky-adjusted life year. Improving donor lung and/or recipient biology during ex vivo lung perfusion may improve its utility for routine transplantation.

Increased extracellular water/body mass is associated with functional impairment in hemodialysis patients

BACKGROUND

Functional impairment, malnutrition and fluid overload are prevalent in patients undergoing maintenance hemodialysis (MHD). The extracellular water/body cell mass ratio (ECW/BCM) is a new indicator reflecting fluid overload and malnutrition. A previous study has suggested that it performs better than other indices in assessing fluid status. This study investigates the relationship between pre-dialysis whole-body ECW/BCM and physical function in MHD patients.

METHODS

We conducted a multicenter, cross-sectional study in Guizhou Province in Southwest China. The Karnofsky Performance Status (KPS) was used to evaluate patients' functional status. Patients with KPS scores of ≤ 80 were considered to have a functional impairment. The body composition was measured using the body composition monitor (BCM), and the value of the ECW/BCM ratio was calculated. The subjects were classified into three groups according to ECW/BCM tertiles. Multiple logistic regression models and interactive analyses were conducted.

RESULTS

The final analysis included 2818 subjects. Multivariate logistic regression analyses showed that compared with the lowest tertile (tertile 1), the adjusted odds ratio of functional impairment were 1.95 (95% CI: 1.21-3.13, p < 0.001) and 2.10 (95% CI: 1.31-3.37, p < 0.001) in the second and the third tertiles of ECW/BCM, respectively after adjusting for age, sex, current smoking status, history of stroke, heart failure, diabetes, and myocardial infarction. Subgroup analysis showed that the association existed stably across all subgroups stratified by age, gender, cognitive impairment (CI), history of stroke, heart failure, and diabetes (all p values for interaction >0.05).

CONCLUSIONS

Elevated ECW/BCM is independently linked to an increased risk of functional impairment in patients with MHD.

Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering

Background: Our study aimed to characterize kidney transplant recipients who received high kidney donor profile index (KDPI) kidneys using unsupervised machine learning approach. Methods: We used the OPTN/UNOS database from 2010 to 2019 to perform consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in 8935 kidney transplant recipients from deceased donors with KDPI ≥ 85%. We identified each cluster’s key characteristics using the standardized mean difference of >0.3. We compared the posttransplant outcomes among the assigned clusters. Results: Consensus cluster analysis identified 6 clinically distinct clusters of kidney transplant recipients from donors with high KDPI. Cluster 1 was characterized by young, black, hypertensive, non-diabetic patients who were on dialysis for more than 3 years before receiving kidney transplant from black donors; cluster 2 by elderly, white, non-diabetic patients who had preemptive kidney transplant or were on dialysis less than 3 years before receiving kidney transplant from older white donors; cluster 3 by young, non-diabetic, retransplant patients; cluster 4 by young, non-obese, non-diabetic patients who received dual kidney transplant from pediatric, black, non-hypertensive non-ECD deceased donors; cluster 5 by low number of HLA mismatch; cluster 6 by diabetes mellitus. Cluster 4 had the best patient survival, whereas cluster 3 had the worst patient survival. Cluster 2 had the best death-censored graft survival, whereas cluster 4 and cluster 3 had the worst death-censored graft survival at 1 and 5 years, respectively. Cluster 2 and cluster 4 had the best overall graft survival at 1 and 5 years, respectively, whereas cluster 3 had the worst overall graft survival. Conclusions: Unsupervised machine learning approach kidney transplant recipients from donors with high KDPI based on their pattern of clinical characteristics into 6 clinically distinct clusters.

Impact of frailty and its inter-relationship with lean tissue wasting and malnutrition on kidney transplant waitlist candidacy and delisting

BACKGROUND & AIMS

Frailty and body composition contribute to adverse pre-transplant outcomes including hospitalization and waitlist mortality, but the interaction between frailty and body composition remains uncertain.

METHODS

Frailty was diagnosed by Clinical Frailty Scale (CFS) and a standard Frailty Questionnaire (FQ). Nutrition was evaluated by serum albumin level, subjective global assessment (SGA) and comprehensive malnutrition-inflammation score (MIS). Body composition was assessed by bioimpedance spectroscopy. All patients were followed up for three years. Primary outcome measure was a composite of death and permanent removal from waitlist. Secondary outcomes were emergency room attendance and hospitalization.

RESULTS

432 prevalent peritoneal dialysis (PD) patients were recruited. 148 (34.3%) were listed on transplant waitlist. Frailty, age and comorbidity load predicted waitlisting. With time, 47 patients were delisted. Frailty by FQ (p = 0.028), serum albumin level (p = 0.005) and waist circumference (p = 0.010) predicted delisting after adjustment for confounders. Frailty significantly interacted with lean tissue wasting (FQ: p = 0.002, CFS: p = 0.048), and MIS (FQ: p = 0.004; CFS: p = 0.014) on delisting. Lean tissue wasting caused 2.56 times risk of delisting among frail individuals identified by FQ (p = 0.016), while serum albumin and the presence of diabetes mellitus predicted the risk of delisting among non-frail individuals. Lean tissue wasted and frail subjects had a higher all-cause and infection-related hospitalization.

CONCLUSION

Frailty predicted both kidney transplant waitlisting and subsequent delisting. Frailty interacted with body composition on transplant waitlist delisting. Lean tissue wasting and malnutrition independently predicted delisting in frail and non-frail listed subjects respectively.

Karnofsky Performance Score-Failure to Thrive as a Frailty Proxy?

Supplemental Digital Content is available in the text.

Among patients listed for kidney transplantation, the Karnofsky Performance Status (KPS) Scale has been used as a proxy for frailty and proposed as a predictor of long-term posttransplant outcomes. The KPS is required by the Organ Procurement and Transplantation Network for all transplants; however, the interrater reliability of KPS reporting in kidney transplant candidates has not been well investigated, and there is concern regarding limitations of using KPS that may influence transplant eligibility.

Karnofsky performance status predicts outcomes in candidates for simultaneous liver-kidney transplant

Karnofsky performance status (KPS), a measure of physical frailty, predicts pre-transplant and post-transplant outcomes in liver transplantation, but has not been assessed in simultaneous liver-kidney transplantation (SLKT). We examined the association between KPS and outcomes in SLKT waitlist registrants and recipients (2005-2018) in the UNOS database. KPS was categorized into A (able to work), B (able to provide self-care), and C (unable to provide self-care). Cox regression and competing risk analysis were used to assess the association between KPS groups and outcomes. A total of 10,785 patients were waitlisted (KPS: 19% A, 46% B, 35% C), and 5,516 underwent SLKT (12% A, 36% B, 52% C). One-year waitlist mortality was 17%, 22%, and 32% for KPS A, B, and C, respectively. In adjusted competing risk regression, KPS C was associated with increased waitlist mortality (SHR 1.15, 95%CI 1.04-1.28). One-year post-transplant survival was 92%, 91%, and 87% for KPS A, B, and C, respectively. In adjusted Cox regression, KPS C was associated with increased post-transplant mortality (HR 1.32, 95%CI 1.08-1.61). It was also associated with increased liver and kidney graft losses and with hospital length of stay. Frailty, as assessed by KPS, is associated with poor outcomes in SLKT pre- and post-transplant.

Impact of Functional Status on Outcomes of Simultaneous Pancreas-kidney Transplantation: Risks and Opportunities for Patient Benefit

Background.

The impact of functional status on survival among simultaneous pancreas-kidney transplant (SPKT) candidates and recipients is not well described.

Methods.

We examined national Scientific Registry of Transplant Recipients (SRTR) data for patients listed for SPKT in the United States (2006–2019). Functional status was categorized by center-reported Karnofsky Performance Score (KPS). We used Cox regression to quantify associations of KPS at listing and transplant with subsequent patient survival, adjusted for baseline patient and transplant factors (adjusted hazard ratio, _{95% LCL}aHR_95%UCL). We also explored time-dependent associations of SPKT with survival risk after listing compared with continued waiting in each functional status group.

Results.

KPS distributions among candidates (N = 16 822) and recipients (N = 10 316), respectively, were normal (KPS 80–100), 62.0% and 57.8%; capable of self-care (KPS 70), 23.5% and 24.7%; requires assistance (KPS 50–60), 12.4% and 14.2%; and disabled (KPS 10–40), 2.1% and 3.3%. There was a graded increase in mortality after listing and after transplant with lower functional levels. Compared with normal functioning, mortality after SPKT rose progressively for patients capable of self-care (aHR, _1.001.18_1.41), requiring assistance (aHR, _1.061.31_1.60), and disabled (aHR, _1.101.55_2.19). In time-dependent regression, compared with waiting, SPKT was associated with 2-fold mortality risk within 30 days of transplant. However, beyond 30 days, SPKT was associated with reduced mortality, from 52% for disabled patients (aHR, _0.260.48_0.88) to 70% for patients with normal functioning (aHR, _0.260.30_0.34).

Conclusions.

While lower functional status is associated with increased mortality risk among SPKT candidates and recipients, SPKT can provide long-term survival benefit across functional status levels in those selected for transplant.