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INTRODUCTION: Kidney stones is common with an increasing trend over time and has been well studied in the general population. However, incidence and outcomes of kidney stones leading to kidney failure (KF) and receiving kidney replacement therapy (KRT) is poorly examined. We examined the incidence of KF due to kidney stones and compared outcomes to KRT patients due to other causes. METHODS: Adult patients who started KRT (January 1981-December 2020) and based in the Australia and New Zealand Dialysis and Transplant (ANZDATA) registry. Exposure was KRT patients due to kidney stones comparing them to those with other causes. We examined incidence, prevalence, patient survival (KRT and transplant) and graft survival (transplant). Cox regression models were fit to compare patient survival between kidney stones and non-kidney stones groups, overall KRT, dialysis and patient and graft survival after kidney transplant. RESULTS: A total of 834 (1.1%) patients commenced KRT due to kidney stones. Incidence was 1.17 per million population per year and remained stable during the study period (annual percentage change -0.3% [95%CI -1.5% to 0.9%]. Survival was higher in kidney stone patients receiving dialysis compared to the non-kidney stone group (hazard ratio [HR], 0.89, 95%CI 0.82- 0.96) with similar estimates in a matched cohort. In kidney transplant patients, time to transplant was longer for patients with kidney stone compared to non-kidney stone patients (2.5 vs 1.7 years, P=0.001). There was no mortality difference (HR 1.02, 95%CI 0.82- 1.28) or graft loss (HR 1.07, 95%CI 0.79- 1.45) between kidney stones vs non-kidney stones in the kidney transplant group. CONCLUSION: KF due to kidney stones incidence is unchanged over the study period. Survival of patients with kidney stones who require KRT was better compared to patients from other causes. For the kidney transplant group, survival and risk of graft failure were similar.
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BACKGROUND: High-sensitivity cardiac troponin T (hs-cTnT) is a biomarker used in diagnosing myocardial injury. The clinical utility and the variation of this biomarker over time remain unclear in hemodialysis (HD) and peritoneal dialysis (PD) patients. We sought to determine whether hs-cTnT concentrations were predictive of myocardial infarction (MI) and death and to examine hs-cTnT variability over a 1-year period. METHODS: A total of 393 nonacute HD and PD patients (70% HD and 30% PD) were followed in a prospective observational study for new MI and death. RESULTS: Median hs-cTnT was 57 ng/L (interquartile range, 36-101 ng/L) with no observed difference between HD and PD patients (P = 0.11). Incremental increases in mortality (P = 0.024) and MI (P = 0.001) were observed with increasing hs-cTnT quartiles. MI incidence increased significantly across quartiles in both HD and PD patients (P = 0.012 and P = 0.025, respectively), whereas mortality increased only in HD patients (P = 0.015). For every increase of 25 ng/L in hs-cTnT, the unadjusted hazard ratio (HR) was 1.10 for mortality in the whole group (95% CI, 1.04-1.16, P = 0.001) and 1.16 for MI (95% CI, 1.08-1.23, P < 0.001). Adjusted HR for mortality was 1.07 (95% CI, 1.01-1.15, P = 0.04) and 1.14 for MI (95% CI, 1.06-1.22, P < 0.001). Changes in hs-cTnT from baseline concentrations after 1 year were minimal (55 ng/L vs 53 ng/L, P = 0.22) even in patients who had an MI (P = 0.53). CONCLUSIONS: hs-cTnT appears to have a useful role in predicting MI and death in the dialysis population. Over a 1-year period concentrations remained stable even in patients who sustained a new cardiac event.