Evolution of secondary hyperparathyroidism in patients following return to hemodialysis after kidney transplant failure.

INTRODUCTION: Severe uncontrolled secondary hyperparathyroidism and kidney transplantation history are both risk factors for fractures in hemodialyzed patients. Moreover, patients who return to dialysis after transplant failure have more severe infections/anemia and higher mortality risk than transplant-naive patients starting dialysis with native kidneys. In this context, our aim was to test the hypothesis that transplant failure patients have more secondary hyperparathyroidism than transplant-naive patients. METHODS: We retrospectively compared 29 transplant failure patients to 58 transplant-naive patients matched for age, sex, chronic kidney disease duration and diabetes condition (1 transplant failure/2 transplant-naive ratio), who started dialysis between 2010 and 2014. Clinical and biological data were collected at baseline, 6 and 12 months. FINDINGS: At baseline, neither serum parathyroid hormone (transplant-naive: 386±286pg/mL; transplant failure: 547±652pg/mL) nor serum 25-hydroxyvitamin D (transplant-naive: 27.8±17.0µg/L, transplant failure: 31.1±14.9µg/L) differed between groups. However, serum parathyroid hormone at 12 months and the proportion of patients with uncontrolled secondary hyperparathyroidism (parathyroid hormone>540pg/mL, KDIGO criteria) were significantly higher in transplant failure than in transplant-naive (parathyroid hormone: 286±205 vs. 462±449, P<0.01; uncontrolled secondary hyperparathyroidism: 30% vs. 13%, P<0.01, respectively). Within the transplant failure group, patients with uncontrolled secondary hyperparathyroidism at 12 months were younger than patients with normal or low parathyroid hormone. DISCUSSION: This retrospective and monocentric study suggests that transplant failure patients are more likely to develop secondary hyperparathyroidism. Thus, finding high serum parathyroid hormone in young transplant failure patients, who are expected to undergo further transplantations, should incite physicians to treat early and more aggressively this complication.

Identifying Hemodialysis Patients With the Highest Risk of Staphylococcus aureus Endogenous Infection Through a Simple Nasal Sampling Algorithm.

In contrast to Staphylococcus aureus intermittent nasal carriers, persistent ones have the highest risk of infection. This study reports the usefulness of a simple nasal sampling algorithm to identify the S. aureus nasal carriage state of hemodialysis patients (HPs) and their subsequent risk of infection.From a cohort of 85 HPs, 76 were screened for S. aureus nasal carriage once a week during a 10-week period. The S. aureus nasal load was quantified by using either culture on chromogenic medium or fully automated real-time polymerase chain reaction assay. Molecular typing was used to compare strains from carriage and infection.The algorithm based on quantitative cultures was able to determine the status of S. aureus nasal carriage with a sensitivity of 95.8%, a specificity of 94.2%, a positive predictive value of 88.5%, and a negative predictive value of 98.0%. Of note, the determination of the S. aureus carriage state was obtained on the first nasal sample for all the 76 HPs, but 1 (98.7%). The algorithm based on quantitative polymerase chain reaction assay directly from the specimen yielded similar performances. During the 1-year follow-up after the last sampling episode, HPs classified as persistent nasal carriers with the algorithm were found to have a higher risk of S. aureus infection than those classified as nonpersistent carriers (P < 0.05), especially for infections of endogenous origin (P < 0.001).This simple algorithm is reliable for determining the S. aureus nasal carriage status in clinical practice and could contribute to characterize at an early stage of take-up patients with the highest risk of S. aureus infection.

Predicting the risk for dialysis or death in IgA nephropathy.

For the individual patient with primary IgA nephropathy (IgAN), it remains a challenge to predict long-term outcomes for patients receiving standard treatment. We studied a prospective cohort of 332 patients with biopsy-proven IgAN patients followed over an average of 13 years. We calculated an absolute renal risk (ARR) of dialysis or death by counting the number of risk factors present at diagnosis: hypertension, proteinuria ≥1 g/d, and severe pathologic lesions (global optical score, ≥8). Overall, the ARR score allowed significant risk stratification (P < 0.0001). The cumulative incidence of death or dialysis at 10 and 20 years was 2 and 4%, respectively, for ARR=0; 2 and 9% for ARR=1; 7 and 18% for ARR=2; and 29 and 64% for ARR=3, in adequately treated patients. When achieved, control of hypertension and reduction of proteinuria reduced the risk for death or dialysis. In conclusion, the absolute renal risk score, determined at diagnosis, associates with risk for dialysis or death.

Natural history of primary IgA nephropathy.

Primary IgA nephropathy (IgAN) is the most frequent type of primary glomerulonephritis worldwide. The characteristic presentation is gross hematuria at the time of an infectious episode. A renal biopsy still is mandatory for the diagnosis. The natural history of the disease is characterized by clinical and pathologic progression over time, which can vary from a few years to more than 50 years. It is possible to make a broad prediction at the time of diagnosis of the long-term (20 years) risk of progressive chronic kidney disease, and then to end-stage renal disease requiring renal replacement therapy (20-year cumulative end-stage renal disease risk range, 14%-39%). The 3 major independent risk factors are arterial hypertension, proteinuria more than 1 g/d, and severe renal histopathologic lesions including hyalinosis, crescents, or defined by histopathologic scoring systems. When any clinical risk factors are present, patients should be targeted closely by appropriate treatments in the following order: (1) precise control of hypertension, (2) control of proteinuria when persisting for greater than 1 g/d, and (3) evidence-based treatment where available for severe lesions. This is a symptomatic treatment strategy because pathogenesis and etiology still remain unclear.

Predicting glomerular filtration rate in kidney transplantation: are the K/DOQI guidelines applicable?

The kidney disease outcomes quality initiative (K/DOQI) guidelines introduced a classification of chronic kidney disease (CKD) based on the level of kidney function. In order to predict the glomerular filtration rate (GFR), they specifically recommended the use of the modification of diet in renal disease (MDRD) study and Cockcroft-Gault (C-G) equations. Since the performance of these estimates has been questioned, we sought to determine whether these recommendations might be applicable in renal transplantation. Following the K/DOQI methodology, we compared the GFR estimated by the MDRD and C-G equations with 476 inulin clearances performed in 284 renal transplant recipients. Even though the MDRD equations provided a better prediction than C-G formula, none of them reached the level of accuracy required by the K/DOQI standards. At least, 25% of the calculated GFR gave a prediction beyond 30% of the corresponding inulin clearance value. In addition, when classified according to their predicted GFR, less than two-thirds of the transplant patients turned out to be assigned to the correct stage of CKD. We conclude that, in renal transplantation, the predictive performance of both C-G and MDRD study equations appears to be particularly impaired and may potentially compromise the validity of the K/DOQI guidelines if implemented in their current form.