Faculty Bibliography

Introduction/UNASSIGNED:The combination of hydralazine-isosorbide dinitrate (H-ISDN) has potential as a heart failure (HF) therapy in the setting of maintenance dialysis. Methods/UNASSIGNED:In this retrospective study, we analyzed the efficacy of H-ISDN using United States Renal Data System (USRDS) data. We identified all adult patients with a history of HF on maintenance dialysis between January 1, 2011, and December 31, 2016, with at least 1 prescription for H-ISDN. Baseline characteristics, prescriptions, and outcomes were retrieved from institutional and physician claims. The primary outcome was death from any cause. Additional outcomes included cardiovascular death, sudden cardiac death, hospitalization for HF, an inpatient diagnosis of myocardial infarction (MI), or new-onset atrial fibrillation. Stabilized inverse probability weights were estimated using relevant baseline characteristics and were used in Cox proportional hazards regression. Results/UNASSIGNED:We identified 6306 patients who were treated with H-ISDN and 75,509 patients who did not receive H-ISDN. The crude all-cause mortality rate was lower in patients treated with H-ISDN (16.0 events/100 patient years [PYs]) than in nonusers (27.9/100-PY). H-ISDN use was independently associated with lower mortality: hazard ratio (HR) 0.48 (95% CI 0.43-0.54). Cardiovascular death and sudden cardiac death were less common among H-ISDN users than nonusers, Weighted HR was 0.62 (95% CI 0.53-0.71) and 0.62 (95% CI 0.52-0.73), respectively. In contrast, HF admission and MI were more frequent in patients treated with H-ISDN (195.5 and 18.0 events/100-PY) compared with nonusers (73.4 and 10.2 events/100-PY). Conclusion/UNASSIGNED:H-ISDN therapy may improve cardiovascular outcomes in maintenance dialysis patients with HF.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Left ventricular ejection fraction is disrupted in patients on maintenance hemodialysis and can be estimated using deep learning models on electrocardiograms. Smaller sample sizes within this population may be mitigated using transfer learning. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS/METHODS:) pretrained on patients not on hemodialysis and fine-tuned on patients on hemodialysis. We assessed the ability of the models to classify left ventricular ejection fraction into clinically relevant categories of ≤40%, 41% to ≤50%, and >50%. We compared performance by area under the receiver operating characteristic curve. RESULTS:=1309), respectively. For the same tasks, model 1 achieved area under the receiver operating characteristic curves of 0.74, 0.55, and 0.71, respectively; model 2 achieved area under the receiver operating characteristic curves of 0.71, 0.55, and 0.69, respectively, and model 3 achieved area under the receiver operating characteristic curves of 0.80, 0.51, and 0.77, respectively. We found that predictions of left ventricular ejection fraction by the transfer learning model were associated with mortality in a Cox regression with an adjusted hazard ratio of 1.29 (95% confidence interval, 1.04 to 1.59). CONCLUSION/CONCLUSIONS:A deep learning model can determine left ventricular ejection fraction for patients on hemodialysis following pretraining on electrocardiograms of patients not on hemodialysis. Predictions of low ejection fraction from this model were associated with mortality over a 5-year follow-up period. PODCAST/UNASSIGNED:This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_06_06_CJN16481221.mp3.

Background/UNASSIGNED:The fracture pathophysiology associated with type 2 diabetes and chronic kidney disease (CKD) is incompletely understood. We examined individual fracture predictors and prediction sets based on different pathophysiological hypotheses, testing whether any of the sets improved prediction beyond that based on traditional osteoporotic risk factors. Methods/UNASSIGNED:Within the CREDENCE cohort with adjudicated fracture outcomes, we assessed the association of individual factors with fracture using Cox regression models. We used the Akaike information criteria (AIC) and Schwartz Bayes Criterion (SBC) to assess six separate variable sets based on hypothesized associations with fracture, namely, traditional osteoporosis, exploratory general population findings, cardiovascular risk, CKD-mineral and bone disorder, diabetic osteodystrophy, and an all-inclusive set containing all variables. Results/UNASSIGNED:Fracture occurred in 135 (3.1%) participants over a median 2.35 [1.88-2.93] years. Independent fracture predictors were older age (hazard ratio [HR] 1.04, confidence interval [CI] 1.01-1.06), female sex (HR 2.49, CI 1.70-3.65), previous fracture (HR 2.30, CI 1.58-3.34), Asian race (HR 1.74, CI 1.09-2.78), vitamin D therapy requirement (HR 2.05, CI 1.31-3.21), HbA1c (HR 1.14, CI 1.00-1.32), prior cardiovascular event (HR 1.60, CI 1.10-2.33), and serum albumin (HR 0.41, CI 0.23-0.74) (lower albumin associated with greater risk). The goodness of fit of the various hypothesis sets was similar (AIC range 1870.92-1849.51, SBC range 1875.60-1948.04). Conclusion/UNASSIGNED:Independent predictors of fracture were identified in the CREDENCE participants with type 2 diabetes and CKD. Fracture prediction was not improved by models built on alternative pathophysiology hypotheses compared with traditional osteoporosis predictors.

Outcomes: 1. Understand the historical use of palliative care for patients with acute kidney injury (AKI) 2. Describe the use of palliative care for patients with AKI and COVID-19 during the surge at our institution 3. Describe the associations of palliative care with subsequent health care utilization such as hospice use, ICU time, and mechanical ventilation Original Research Background: Acute kidney injury (AKI) is a common morbidity seen in patients with COVID-19 and is associated with high mortality. Palliative care is valuable for these patients yet is historically underused in AKI. Research Objectives: To describe the use of palliative care and subsequent health care utilization by COVID-19 patients with AKI.
Method(s): A retrospective analysis of NYU's electronic health data of COVID-19 hospitalizations between March 2, 2020 and August 25, 2020. AKI was defined by the AKI Network creatinine criteria. Regression models examined characteristics associated with a receiving palliative care and discharge to hospice versus death in the hospital.
Result(s): Patientswith COVID-19 and AKI were more likely than those without AKI to receive palliative care (42% vs 7%, p < 0.001); however, consults came significantly later (10 days from admission vs 5 days, p < 0.001). 66% of patients initiated on renal replacement therapy (RRT) received palliative care versus 37% (p < 0.001) of those with AKI not on RRT, also later in timing (12 days from admission vs 9 days, p = 0.002). Patients with AKI had a significantly longer stay, more ICU admissions, use of mechanical ventilation, discharges to hospice (6% vs 3%), and changes in code status (34% vs 7%, p < 0.001) than those without AKI. Among those who received palliative care, AKI both without RRT (adjusted odds ratio [aOR] 0.51, 95% confidence interval [CI] 0.27-0.95) and with RRT (aOR 0.18, 95% CI 0.04-0.67) was associated with a lower likelihood of discharge to hospice versus hospital death compared to those without AKI.
Conclusion(s): Palliative care was used more for patients with AKI and COVID-19 than historically reported, yet this consultation came later in the hospital course and did not avoid invasive interventions despite high mortality. Implications for Research, Policy, or Practice: These data can lead to further exploration of earlier timing of palliative care consultation in AKI.
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Background/UNASSIGNED:, may underestimate prevalence of early ORG. We investigated whether adjusting eGFR to actual BSA more readily identifies early ORG. Methods/UNASSIGNED:or 135 ml/min, respectively. The prevalence of hyperfiltration according to each formula was assessed in parallel to creatinine clearance. Results/UNASSIGNED:Serum creatinine values and hyperfiltration prevalence according to BSA-standardized eGFR were similar, 13%-15%, across body mass index (BMI) groups. The prevalence of hyperfiltration determined by absolute eGFR differed across BMI groups: underweight, 2%; normal weight, 6%; overweight, 17%; and obese, 31%. This trend paralleled the rise in creatinine clearance across BMI groups. Conclusions/UNASSIGNED:Absolute eGFR more readily identifies early ORG than the currently used formulae, which are adjusted to a standardized BSA and are not representative of current population BMI measures. Using absolute eGFR in clinical practice and research may improve the ability to identify, intervene, and reverse early ORG, which has great importance with increasing obesity rates.

INTRODUCTION/BACKGROUND:Obesity is more prevalent among African American individuals, increasing the risk for cardiorenal morbidity. We explored interactions between race, BMI, and the risk of hyperfiltration associated with obesity-related glomerulopathy (ORG). METHODS:We created a cohort of female adolescents from electronic health records. Glomerular filtration rate (GFR) was estimated in two ways: (A) using standard age recommended formulae and (B) absolute eGFR - adjusted to individual body surface area (BSA). Multivariate logistic regression was used to analyze the contribution of risk factors for ORG-associated hyperfiltration defined as 135 mL/min/1.73 m2 or 135 mL/min, according to BMI group. Pearson's coefficient was used to assess correlation with creatinine clearance (CrCl). RESULTS:The final cohort included 7,315 African American and 15,102 non-African American adolescent females, with CrCl available for internal validation in 207 non-African American and 107 African American individuals. Compared with non-African American ethnicity, African American ethnicity was independently associated with a lower risk of hyperfiltration with standard eGFR calculations (odds ratio [OR] = 0.57, 95% confidence intervals [CIs] 0.45-0.71), associations were enhanced for absolute eGFR (OR = 0.81, 95% CI 0.69-0.95). Absolute eGFR values agreed better with CrCl (r = 0.63), compared to standard indexed eGFR formulae. Proportions classified as hyperfiltration changed with standard versus absolute eGFR; they were similar across BMI groups with the first and reflected obesity with the later. CONCLUSION/CONCLUSIONS:Adjusting to individual BSA improves estimation of GFR and identification of obesity-related hyperfiltration. More accurate and earlier ascertainment of obesity-related hyperfiltration may have important consequences for preservation of kidney function.

BACKGROUND AND AIMS/OBJECTIVE:Chronic kidney disease (CKD) confers a high risk for poor cardiovascular outcomes. We conducted a systematic review and meta-analysis to estimate the effects of revascularization as the initial management strategy compared with medical therapy among patients with CKD and coronary artery disease. METHODS:or maintenance dialysis). The primary outcome was myocardial infarction. The secondary outcomes were all-cause mortality or progression to kidney failure. The risk ratio (RR) was estimated using a random-effects model. RESULTS:Eleven randomized trials were included (3422 patients). Revascularization was associated with lower incidence of myocardial infarction compared with medical therapy in patients with CKD: RR 0.71 (95% confidence interval [CI] 0.54-0.94; p=0.02). This result was mainly driven from a significantly lower incidence of myocardial infarction with early revascularization among patients with stable coronary artery disease: RR 0.59; 95% CI 0.37-0.93. A similar incidence of all-cause mortality was observed with both treatment strategies: RR 0.88 (95% CI 0.72-1.08; p=0.22). A trend towards lower incidence of all-cause mortality was observed with revascularization in the subgroup of patients presenting with NSTE-ACS: RR 0.73 (95% CI 0.51-1.04; p=0.08) but not among patients with stable coronary disease. There was no difference in progression to kidney failure between the two strategies. CONCLUSIONS:Coronary revascularization may be superior to medical therapy among patients with CKD and coronary disease.

Introduction/UNASSIGNED: Methods/UNASSIGNED:Patients with KF-HD were enrolled and received an ILR. In 6 monitoring months, the incidence of AF events lasting ≥6 minutes was captured. Demographic, clinical, and dialysis characteristics were collected, and associations with incident AF were estimated using negative binomial regression models and expressed as incidence rate ratios and 95% CIs. Results/UNASSIGNED:-VASc score ≥2. When investigating individual HD parameters, higher dialysate calcium (>2.5 vs. 2.5 mEq/l: incidence rate ratio = 0.62; 95% CI, 0.48-0.80) was associated with lower AF risk whereas higher dialysate bicarbonate concentrations (>35 vs. 35 mEq/l: incidence rate ratio = 3.18; 95% CI, 1.13-8.94) were associated with higher AF risk. Conclusion/UNASSIGNED:New AF was detected in approximately one-third of patients with KF-HD. AF affects a substantial proportion of patient days and may be an underappreciated cause of stroke in KF-HD.