Association between Duration of Predialysis Care and Mortality after Dialysis Start

Pre-ESKD Nephrology Care and Employment at the Start of Dialysis

Introduction

Employment is associated with an improved sense of well-being and quality of life in patients with kidney disease. Earlier nephrology referral and longer duration of pre-end-stage kidney disease (ESKD) nephrology care are associated with improved health outcomes in patients with advanced kidney disease who initiate dialysis. It is unknown if pre-ESKD nephrology care helps patients stay employed leading up to dialysis initiation.

Methods

We used the US ESKD registry to identify adults aged 18-54 years who initiated dialysis between 2007 and 2014. Analyses were restricted to patients who reported being employed 6 months prior to ESKD. We used multivariable regression models with estimated average marginal effects to examine the independent association between ≥6 months of pre-ESKD nephrology care and employment at dialysis initiation. To reduce bias, we conducted an instrumental variable (IV) analysis based on geographic variation in pre-ESKD care.

Results

Of 75,700 patients included in study cohort, 49% reported receiving pre-ESKD nephrology care for ≥6 months, and 62% were employed at dialysis initiation. Although geographic variation in pre-ESKD nephrology care was strongly associated with the likelihood that working-aged patients in our analytic cohort received pre-ESKD care, the receipt of pre-ESKD nephrology care was not significantly associated with employment at dialysis initiation; estimated probability: 5%; 95% confidence interval (CI) -6% to 14%.

Conclusions

Pre-ESKD nephrology care 6 months prior to initiation of dialysis is not associated with the likelihood of remaining employed at the initiation of dialysis. Although nephrology care has potential to help patients remain employed, this benefit is not manifested in current practice.

Achieving equity in dialysis care and outcomes: The role of policies

Socially disadvantaged persons, including racial and ethnic minorities, individuals with low incomes, homeless persons, and non-US citizens bear a disproportionate burden of end-stage kidney disease (ESKD). Inequities in nephrology referral, vascular access, use of home dialysis modalities, kidney transplantation, and mortality are prominent. Public policies, including the Patient Protection and Affordable Care Act, end-stage renal disease Quality Incentive Program, and the Prospective Payment System, were enacted to improve healthcare access and dialysis care. Here, we highlight inequities in dialysis care and outcomes, how current ESKD and other public policies may influence or exacerbate these inequities, and gaps in the literature needed to inform future policies toward achieving equity in ESKD. We give special attention to the 2019 Advancing American Kidney Health Executive Order, which has high potential to radically transform dialysis care.

Nephrology consultation and mortality in people with stage 4 chronic kidney disease: a population-based study

BACKGROUND

Guidelines recommend nephrology referral for people with advanced non-dialysis-dependent chronic kidney disease, based mostly on survival benefits seen in retrospective studies of dialysis patients, which may not be generalizable to the broader population with chronic kidney disease. We aimed to examine the association between outpatient nephrology consultation and survival in adults with stage 4 chronic kidney disease.

METHODS

We linked population-based laboratory and administrative data from 2002 to 2014 in Alberta, Canada, on adults with stage 4 chronic kidney disease (sustained estimated glomerular filtration rate ≥ 15 to < 30 mL/min/1.73 m² for > 90 d), who had never had kidney failure and had had no outpatient nephrology encounter in the 2 years preceding study entry. Participants who had never had an outpatient nephrology visit before renal replacement treatment were considered "unexposed." Participants who saw a nephrologist during follow-up were considered "unexposed" before the first outpatient nephrology visit and "exposed" thereafter. The primary outcome was all-cause mortality.

RESULTS

Of the 14 382 study participants (median follow-up 2.7 yr), 64% were aged ≥ 80 years, 35% saw a nephrologist and 66% died during follow-up. Nephrology consultation was associated with lower mortality (hazard ratio [HR] 0.88, 95% confidence interval [CI] 0.82-0.93). The association was strongest in people < 70 years (HR 0.78, 95% CI, 0.65-0.92), progressively weaker with increasing age, and absent in people ≥ 90 years (HR 1.05, 95% CI 0.88-1.25).

INTERPRETATION

The survival benefit of nephrology consultation in adults with stage 4 chronic kidney disease may be smaller than expected and appears to attenuate with increasing age. These findings should inform recommendations for nephrology referral considering the advanced age of the patient population meeting current referral criteria.

The Pre-Dialysis Care Trajectory of Chronic Kidney Disease Patients and the Start of Dialysis in Emergency: A Mixed Method Study Protocol

Chronic Kidney Disease (CKD) is an important public health issue that requires early and close medical monitoring to start Renal Replacement Therapy (RRT) in the best conditions. However, in France, about 1/3 of patients start dialysis in emergency, despite the existence of CKD management guidelines. Using both quantitative and qualitative methods, we wanted to analyze the pre-dialysis care trajectory of patients with CKD and document the causes of Emergency dialysis Start (ES). To this aim, we designed a convergent mixed-method study. The quantitative component will analyze individual healthcare consumption and clinical data to identify the risk factors of ES by comparing the trajectories of patients who started dialysis in emergency in 2015 in France with those of patients who started in a planned manner and with the national recommendations. The qualitative component will explore the patients’ trajectories and identify barriers to a planned start using semi-structured interviews with patients who started dialysis in emergency and with their general practitioners and nephrologists. Using the strengths of a mixed methodology, this study will bring robust and valuable findings to improve the care of CKD patients.

Machine Learning to Identify Dialysis Patients at High Death Risk

Introduction

Given the high mortality rate within the first year of dialysis initiation, an accurate estimation of postdialysis mortality could help patients and clinicians in decision making about initiation of dialysis. We aimed to use machine learning (ML) by incorporating complex information from electronic health records to predict patients at risk for postdialysis short-term mortality.

Methods

This study was carried out on a contemporary cohort of 27,615 US veterans with incident end-stage renal disease (ESRD). We implemented a random forest method on 49 variables obtained before dialysis transition to predict outcomes of 30-, 90-, 180-, and 365-day all-cause mortality after dialysis initiation.

Results

The mean (±SD) age of our cohort was 68.7 ± 11.2 years, 98.1% of patients were men, 29.4% were African American, and 71.4% were diabetic. The final random forest model provided C-statistics (95% confidence intervals) of 0.7185 (0.6994–0.7377), 0.7446 (0.7346–0.7546), 0.7504 (0.7425–0.7583), and 0.7488 (0.7421–0.7554) for predicting risk of death within the 4 different time windows. The models showed good internal validity and replicated well in patients with various demographic and clinical characteristics and provided similar or better performance compared with other ML algorithms. Results may not be generalizable to non-veterans. Use of predictors available in electronic medical records has limited the assessment of number of predictors.

Conclusion

We implemented and ML-based method to accurately predict short-term postdialysis mortality in patients with incident ESRD. Our models could aid patients and clinicians in better decision making about the best course of action in patients approaching ESRD.