Faculty Bibliography

IMPORTANCE/UNASSIGNED:Chronic pain is common among individuals with dialysis-dependent kidney failure. OBJECTIVE/UNASSIGNED:To evaluate the effectiveness of pain coping skills training (PCST), a cognitive behavioral intervention, on pain interference. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This multicenter randomized clinical trial of PCST vs usual care was conducted across 16 academic centers and 103 outpatient dialysis facilities in the US. Adults undergoing maintenance hemodialysis and experiencing chronic pain were randomly assigned to PCST or usual care in a 1:1 ratio. Participants were followed in the trial for 36 weeks. Enrollment began on January 4, 2021, and follow-up ended on December 21, 2023. INTERVENTIONS/UNASSIGNED:PCST consisting of 12 weekly coach-led sessions via video or telephone conferencing, followed by 12 weeks of daily interactive voice response sessions. Usual care had no trial-driven pain intervention. MAIN OUTCOMES/UNASSIGNED:The primary outcome was pain interference measured with the Brief Pain Inventory (BPI) Interference subscale (score range of 0-10, with higher scores indicating more pain interference). Secondary outcomes included pain intensity, pain catastrophizing, quality of life, depression, and anxiety. RESULTS/UNASSIGNED:A total of 643 participants (mean [SD] age, 60.3 [12.6] years; 288 [44.8%] female) were randomized, with 319 assigned to PCST and 324 assigned to usual care. At week 12 (primary end point), the PCST group had a larger reduction in the BPI Interference score than the usual care group (between-group difference, -0.49; 95% CI, -0.85 to -0.12; P = .009). The effect persisted at week 24 (between-group difference in BPI Interference score, -0.48; 95% CI, -0.86 to -0.11) but was diminished at week 36 (between-group difference in BPI Interference score, -0.34; 95% CI, -0.72 to 0.04). A decrease in BPI Interference score greater than 1 point (minimal clinically important difference) occurred in 143 of 281 participants (50.9%) in the PCST group vs 108 of 295 participants (36.6%) in the usual care group at 12 weeks (odds ratio, 1.79; 95% CI, 1.28-2.49) and 142 of 258 participants (55.0%) in the PCST group vs 113 of 264 participants (42.8%) in the usual care group at 24 weeks (odds ratio, 1.59; 95% CI, 1.13-2.24). Favorable changes with PCST were also apparent for secondary outcomes of pain intensity, quality of life, depression, and anxiety at weeks 12 and/or 24, as well as for pain catastrophizing at weeks 24 and 36. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this randomized clinical trial of patients undergoing maintenance hemodialysis, PCST had benefits on pain interference and other pain-associated outcomes. While the effect on the overall cohort was of modest magnitude, the intervention resulted in a clinically meaningful improvement in pain interference for a substantial proportion of participants. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT04571619.

The optimal approach towards managing serum potassium (sK⁺) and hemodialysate potassium concentrations is uncertain. To study this, adults receiving hemodialysis for three months or more with hyperkalemia (pre-dialysis sK⁺ 5.1-6.5 mmol/l) had cardiac monitors implanted and were randomized to either eight weeks of 2.0 mmol/l potassium/1.25 mmol/l calcium dialysate without sodium zirconium cyclosilicate (SZC) (2.0 potassium/noSZC) or 3.0 mmol/l potassium/1.25 mmol/l calcium dialysate combined with SZC (3.0 potassium/SZC) on non-dialysis days to maintain pre-dialysis sK⁺ 4.0-5.5 mmol/l, followed by treatment crossover for another eight weeks. The primary outcome was the rate of adjudicated atrial fibrillation (AF) episodes of at least 2 minutes duration. Secondary outcomes included clinically significant arrhythmias (bradycardia, ventricular tachycardia, and/or asystole) and the proportion of sK⁺ measurements within an optimal window of 4.0-5.5 mmol/l. Among 88 participants (mean age: 57.1 years; 51% male; mean pre-dialysis sK⁺: 5.5 mmol/l) with 25.5 person-years of follow-up, 296 AF episodes were detected in nine patients. The unadjusted AF rate was lower with 3.0 potassium/SZC versus 2.0 potassium/noSZC; 9.7 vs. 13.4/person-year (modeled rate ratio 0.52; 95% confidence interval 0.41-0.65). Clinically significant arrhythmias were reduced with 3.0 potassium/SZC vs. 2.0 potassium/noSZC (6.8 vs. 10.2/person-year modeled rate ratio 0.47; 0.38; 0.58). Fewer sK⁺ measurements outside the optimal window occurred with 3.0 potassium/SZC (modeled odds ratio: 0.27; 0.12-0.35). Hypokalemia was less frequent (33 vs. 58 patients) with 3.0 potassium/SZC compared with 2.0 potassium/noSZC. Thus, in patients with hyperkalemia on maintenance hemodialysis, a combination of hemodialysate potassium 3.0 mmol/l and SZC on non-hemodialysis days reduced the rates of AF, other clinically significant arrhythmias, and post-dialysis hypokalemia compared with hemodialysate potassium 2.0/noSZC.

BACKGROUND AND AIMS/OBJECTIVE:In the FLOW trial, semaglutide reduced the risks of kidney and cardiovascular (CV) outcomes and death in participants with type 2 diabetes mellitus (T2D) and chronic kidney disease (CKD). These prespecified analyses assessed the effects of semaglutide on CV outcomes and death by CKD severity. METHODS:Participants were randomised to subcutaneous semaglutide 1 mg or placebo weekly. The main outcome was a composite of CV death, non-fatal myocardial infarction (MI) ornon-fatal stroke (CV death/MI/stroke) as well as death due to any cause by baseline CKD severity. CKD was categorised by eGFR < or ≥60 mL/min/1.73 m2, UACR < or ≥300 mg/g or KDIGO risk classification. RESULTS:3533 participants were randomised with a median follow-up of 3.4 years. Low/moderate KDIGO risk was present in 242 (6.9%), while 878 (24.9%) had high and 2412 (68.3%) had very high KDIGO risk. Semaglutide reduced CV death/MI/stroke by 18% (HR 0.82 [95% CI 0.68-0.98]; P = .03), with consistency across eGFR categories, UACR levels and KDIGO risk classification (all P-interaction >.13). Death due to any cause was reduced by 20% (HR 0.80 [0.67-0.95]; P = .01), with consistency across eGFR categories and KDIGO risk class (P-interaction .21 and .23, respectively). The P-interaction treatment effect for death due to any cause by UACR was .01 (<300 mg/g HR 1.17 [0.83-1.65]; ≥300 mg/g HR 0.70 [0.57-0.85]). CONCLUSIONS:Semaglutide significantly reduced the risk of CV death/MI/stroke regardless of baseline CKD severity in participants with T2D.

BACKGROUND:Sudden death accounts for approximately 25% of deaths among maintenance hemodialysis patients, occurring more frequently on hemodialysis days. Higher dialysate bicarbonate (DBIC) may predispose to alkalemia and arrhythmogenesis. METHODS:We conducted a 12-month analysis of session-level data from 66 patients with implantable loop recorders. We fit logistic regression and negative binomial mixed-effects regression models to assess the association of DBIC with clinically significant arrhythmia (ventricular tachycardia ≥115 beats per minute [BPM] for at least 30 seconds, bradycardia ≤40 BPM for at least 6 seconds, or asystole for at least 3 seconds) and reviewer confirmed arrhythmia (RCA—implantable loop recorder-identified or patient-marked event for which a manual review of the stored electrocardiogram tracing confirmed the presence of atrial fibrillation, supraventricular tachycardia, sinus tachycardia with rate >130 BPM, ventricular tachycardia, asystole, or bradycardia). Models adjusted for age, sex, race, hemodialysis vintage, vascular access, and prehemodialysis serum bicarbonate and additionally for serum and dialysate potassium levels. RESULTS:The mean age was 56±12 years, 70% were male, 53% were Black, and 35% were Asian. Fewer RCA episodes were associated with DBIC >35 than 35 mEq/L (incidence rate ratio 0.45 [0.27 to 0.75] and adjusted incident rate ratio 0.54 [0.30 to 0.97]), but the association was not significant when adjusting for serum and dialysate potassium levels (adjusted incident rate ratio, 0.60 [0.32 to 1.11]). Otherwise, no associations between DBIC and arrhythmia were identified. CONCLUSIONS:We observed a lower frequency of RCA with higher DBIC, compared with DBIC of 35 mEql/L, contrary to our original hypothesis, but this association was attenuated in fully adjusted models. Validation of these findings in larger studies is required, with a further need for interventional studies to explore the optimal DBIC concentration.

BACKGROUND:Sudden death accounts for ∼25% of deaths among maintenance hemodialysis (HD) patients, occurring more frequently on HD days. Higher dialysate bicarbonate (DBIC) may predispose to alkalemia and arrhythmogenesis. METHODS:We conducted a 12-month analysis of session-level data from 66 patients with implantable loop recorders. We fit logistic regression and negative binomial mixed effects regression models to assess the association of DBIC with clinically significant arrhythmia (CSA - ventricular tachycardia ≥115 beats per minute (BPM) for at least 30 seconds, bradycardia ≤40 BPM for at least 6 seconds, or asystole for at least 3 seconds) and reviewer confirmed arrhythmia (RCA - implantable-loop-recorder-identified or patient-marked event for which a manual review of the stored ECG tracing confirmed the presence of atrial fibrillation, supraventricular tachycardia, sinus tachycardia with rate >130 BPM, ventricular tachycardia, asystole, or bradycardia). Models adjusted for age, sex, race, HD vintage, vascular access, and pre-HD serum bicarbonate and additionally for serum and dialysate potassium levels. RESULTS:Mean age was 56 ± 12 years, 70% were male, 53% were Black, and 35% were Asian. Fewer RCA episodes were associated with DBIC >35 than 35 mEq/L (incidence rate ratio [IRR] 0.45 (0.27, 0.75) and aIRR 0.54 (0.30, 0.97)), but the association was not significant when adjusting for serum and dialysate potassium levels (aIRR 0.60 (0.32, 1.11)). Otherwise, no associations between DBIC and arrhythmia were identified. CONCLUSIONS:We observed a lower frequency of RCA with higher DBIC, compared with DBIC of 35 mEql/L, contrary to our original hypothesis, but this association was attenuated in fully adjusted models. Validation of these findings in larger studies is required, with a further need for interventional studies to explore the optimal DBIC concentration.

RATIONALE & OBJECTIVE/UNASSIGNED:The incidence of arrhythmia varies by time of day. How this affects individuals on maintenance dialysis is uncertain. Our objective was to quantify the relationship of arrhythmia with the time of day and timing of dialysis. STUDY DESIGN/UNASSIGNED:Secondary analysis of the Monitoring in Dialysis study, a multicenter prospective cohort study. SETTINGS & PARTICIPANTS/UNASSIGNED:Loop recorders were implanted for continuous cardiac monitoring in 66 participants on maintenance dialysis with a follow up of 6 months. EXPOSURE/UNASSIGNED:Time of day based on 6-hour intervals. OUTCOMES/UNASSIGNED:Event rates of clinically significant arrhythmia. ANALYTICAL APPROACH/UNASSIGNED:Negative binomial mixed effects regression models for repeated measures were used to evaluate data from the Monitoring in Dialysis study for differences in diurnal patterns of clinically significant arrhythmia among those with end-stage kidney disease with heart failure and end-stage kidney disease alone. We additionally analyzed rates according to presence of heart failure, time of dialysis shift, and dialysis versus nondialysis day. RESULTS/UNASSIGNED: = 0.43), their periodicity differed with a peak between 12:00 AM and 5:59 AM in those with AM dialysis and a later peak between 6:00 AM and 11:59 AM in those with PM shifts. LIMITATIONS/UNASSIGNED:Post hoc analysis, unable to account for unmeasured confounders. CONCLUSION/UNASSIGNED:Clinically significant arrhythmias showed strong diurnal patterns with a maximal peak between 12:00 AM and 5:59 AM and noon. Although overall arrhythmia rates were similar, the peak rate occurred overnight in individuals without heart failure and during the morning in individuals with heart failure. Further exploration of the influence of circadian rhythm on arrhythmia in the setting of hemodialysis is needed.

RATIONALE & OBJECTIVE/UNASSIGNED:This study aimed to assess the effect of exposure to organic pollutants in adults with chronic kidney disease (CKD). STUDY DESIGN/UNASSIGNED:This was a cross-sectional and longitudinal analysis. SETTING AND PARTICIPANTS/UNASSIGNED:Forty adults enrolled in the Chronic Renal Insufficiency Cohort (CRIC). EXPOSURES/UNASSIGNED:Exposure at baseline and longitudinally to various organic chemical pollutants. OUTCOMES/UNASSIGNED:The outcomes were as follows: death; composite of congestive heart failure, myocardial infarction, and stroke; event-free survival from kidney failure or ≥50% decline in estimated glomerular filtration rate (eGFR); and longitudinal trajectory of eGFR. ANALYTICAL APPROACH/UNASSIGNED:We used high-performance liquid chromatography with tandem mass spectrometry to measure urinary concentrations of bisphenols, phthalates, organophosphate pesticides, polycyclic aromatic hydrocarbons, melamine, and cyanuric acid at years 1, 3, and 5 after enrollment in the CRIC. Univariate and multivariable logistic regression were used to examine the association of individual compounds and classes of pollutants with the outcomes. The Cox proportional hazards model and Kaplan-Meier method were used to calculate hazard ratios and 95% CIs for each class of pollutants. RESULTS/UNASSIGNED:and 0.58 mg/g, respectively. Of 52 compounds assayed, 30 were detectable in ≥50% of participants. Urinary chemical concentrations were comparable in patients with CKD and healthy individuals from contemporaneous National Health and Nutrition Examination Survey cohorts. Phthalates were the only class with a trend toward higher exposure in patients with CKD. There was an inverse relationship between exposure and the eGFR slopes for bisphenol F, mono-(3-carboxypropyl) phthalate, mono-benzyl phthalate, mono-[2-(carboxymethyl)hexyl] phthalate, and melamine. There were no associations between organic pollutant exposure and cardiovascular outcomes. LIMITATIONS/UNASSIGNED:Small sample size, evaluation of single rather than combined exposures. CONCLUSIONS/UNASSIGNED:Simultaneous measurement of multiple organic pollutants in adults with CKD is feasible. Exposure levels are comparable with healthy individuals. Select contaminants, especially in the phthalate class, may be associated with more rapid deterioration in kidney function.

People with type 2 diabetes and chronic kidney disease have a high risk for kidney failure and cardiovascular (CV) complications. Glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors (SGLT2i) independently reduce CV and kidney events. The effect of combining both is unclear. FLOW trial participants with type 2 diabetes and chronic kidney disease were stratified by baseline SGLT2i use (N = 550) or no use (N = 2,983) and randomized to semaglutide/placebo. The primary outcome was a composite of kidney failure, ≥50% estimated glomerular filtration rate reduction, kidney death or CV death. The risk of the primary outcome was 24% lower in all participants treated with semaglutide versus placebo (95% confidence interval: 34%, 12%). The primary outcome occurred in 41/277 (semaglutide) versus 38/273 (placebo) participants on SGLT2i at baseline (hazard ratio 1.07; 95% confidence interval: 0.69, 1.67; P = 0.755) and in 290/1,490 versus 372/1,493 participants not taking SGLT2i at baseline (hazard ratio 0.73; 0.63, 0.85; P < 0.001; P interaction 0.109). Three confirmatory secondary outcomes were predefined. Treatment differences favoring semaglutide for total estimated glomerular filtration rate slope (ml min^-1/1.73 m²/year) were 0.75 (-0.01, 1.5) in the SGLT2i subgroup and 1.25 (0.91, 1.58) in the non-SGLT2i subgroup, P interaction 0.237. Semaglutide benefits on major CV events and all-cause death were similar regardless of SGLT2i use (P interaction 0.741 and 0.901, respectively). The benefits of semaglutide in reducing kidney outcomes were consistent in participants with/without baseline SGLT2i use; power was limited to detect smaller but clinically relevant effects. ClinicalTrials.gov identifier: NCT03819153 .