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Pneumonia caused by opportunistic fungi is a serious complication in immunocompromised patients. Hypercalcemia has been described in renal transplantation associated with Pneumocystis jirovecii (PJP) or Histoplasma capsulatum (HCP) pneumonia.We describe 5 patients who underwent kidney transplant between 2014 and 2019 and developed hypercalcemia before the diagnosis of pulmonary fungal infection: 4 patients with PJP and 1 with HCP. We assessed calcium metabolism and kidney function by total and ionized calcium, phosphorus, intact parathormone (iPTH), 25-OH vitamin D, 1,25(OH)2 vitamin D, and serum creatinine levels.Mean albumin-corrected calcium and ionized calcium were 12.56 mg/dL (range, 10.8-13.8 mg/dL) and 1.57 mmol/L (range, 1.43-1.69 mmol/L). Patients were normocalcemic, at 10.12 mg/dL (range, 9.6-10.5 mg/dL), before diagnosis and resolved hypercalcemia after antifungal treatment, at 8.86 mg/dL (range, 8.0-9.5 mg/dL). All patients had low or normal iPTH values, at 29.1 pg/mL (range, 3-44 pg/mL), with higher PTH levels 3 months before diagnosis and after treatment, at 147.3 pg/mL (range, 28.1-479 pg/mL) and 117.5 pg/mL (range, 18.2-245 pg/mL), respectively. The mean value for 25-OH vitamin D was 30.8 ng/mL (range, 14.6-62.8 ng/mL). This supports a PTH-independent mechanism, and we postulated an extrarenal production of 1,25(OH)2 vitamin D.In kidney transplant patients, hypercalcemia independent of PTH and refractory to treatment should alert for the possibility of opportunistic fungal pneumonia.

BACKGROUND The impact of renal transplantation (RT) in the elderly with many comorbid conditions is a matter of concern. The aim of our study was to assess the impact of RT on the survival of patients older than 60 years compared with those remaining on the waiting list (WL) according to their comorbidities. METHODS In this multicentric observational retrospective cohort study, we included all patients older than 60 years old admitted on the WL from 01 January 2006 to 31 December 2016. The Charlson comorbidity index (CCI) score was calculated for each patient at inclusion on the WL. Kidney donor risk index was used to assess donor characteristics. RESULTS One thousand and thirty-six patients were included on the WL of which 371 (36%) received an RT during a median follow-up period of 2.5 (1.4-4.1) years. Patient survival was higher after RT compared to patients remaining on the WL, 87%, 80%, and 72% versus 87%, 55%, and 30% at 1, 3, and 5 years, respectively. After RT survival at 5 years was 37% higher for patients with CCI ≥ 3, and 46% higher in those with CCI < 3, compared with patients remaining on the WL. On univariate and multivariate analysis, patient survival was independently associated with a CCI of ≥3 (hazard ratio 1.62; confidence interval 1.09-2.41; P < 0.02) and the use of calcineurin-based therapy maintenance therapy (hazard ratio 0.53; confidence interval 0.34-0.82; P < 0.004). CONCLUSIONS Our study showed that RT improved survival in patients older than 60 years even those with high comorbidities. The survival after transplantation was also affected by comorbidities.

The outcome of patients who return to dialysis after Kidney allograft failure (KAF) remains unclear. Our aim was to compare the outcome of KAF patients vs two different types of transplant naive incident dialysis (TNID) patients, those on the waiting list (WL) and those with a kidney transplant contraindication (KTC).We performed an observational study using data from the Argentinian Dialysis Registry between 2005 and 2016. We compare mortality between KAF, WL, and KTC.We included 75 722 patients of which 2734 were KAF. Survival between the three cohorts (KAF vs WL (n = 14 630) vs KTC (n = 58 358) revealed a significant difference (log-rank test: P .0001) indicating worse survival for KTC patients and best survival for WL. We found that KAF patients had as poor outcome as KTC patients after multivariate adjustment. Cox regression showed that age65 years: HR: 1.845 (1.79-1.89) P .0001, transient catheter: HR: 1.303 (1.26-1.34) P .0001, diabetic: HR: 1.273 (1.22-1.31) P .0001, hepatitis C: HR: 1.156 (1.09-1.22) P .0001, and albumin: HR: 1.247 (1.21-1.28) P .0001 were associated with mortality.Patients who return to dialysis after KAF have higher mortality than WL patients and similar to KTC patients.

Kidney transplant patients (KTPs), and particularly those with advanced chronic kidney rejection, may be affected by opportunistic infections, metabolic alterations and vascular and oncologic diseases that promote clinical conditions that require a variety of treatments, the combinations of which may predispose them to hyponatremia. Salt and water imbalance can induce abnormalities in volemia and/or serum sodium depending on the nature of this alteration (increase or decrease), its absolute magnitude (mild or severe) and its relative magnitude (body sodium:water ratio). Hyponatremia appears when the body sodium:water ratio is reduced due to an increase in body water or a reduction in body sodium. Additionally, hyponatremia is classified as normotonic, hypertonic and hypotonic and while hypotonic hyponatremia is classified in hyponatremia with normal, high or low extracellular fluid. The main causes of hyponatremia in KTPs are hypotonic hyponatremia secondary to water and salt contraction with oral hydration (gastroenteritis, sepsis), free water retention (severe renal failure, syndrome of inappropriate antidiuretic hormone release, hypothyroidism), chronic hypokalemia (rapamycin, malnutrition), sodium loss (tubular dysfunction secondary to nephrocalcinosis, acute tubular necrosis, tubulitis/rejection, interstitial nephritis, adrenal insufficiency, aldosterone resistance, pancreatic drainage, kidney–pancreas transplant) and hyponatremia induced by medication (opioids, cyclophosphamide, psychoactive, potent diuretics and calcineurinic inhibitors). In conclusion, KTPs are predisposed to develop hyponatremia since they are exposed to immunologic, infectious, pharmacologic and oncologic disorders, the combinations of which alter their salt and water homeostatic capacity.

Introduction Living kidney donor (LKD) transplantation is increasing due to organ shortage. Clinical studies have shown that the risk of developing end-stage renal disease (ESRD) in donors is similar to that in the general population. Our goal was to evaluate postdonation renal outcomes assessed by glomerular filtration rate (GFR), proteinuria, and blood pressure. Methods A total of 210 LKD transplants were performed at Hospital Italiano de Buenos Aires between 2000 and 2014. Postdonation outcomes were analyzed in 109 donors. GFR was assessed by 24-hour creatinine clearance (as 24-hour ClCr) and estimated using the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. Additionally, we correlated the predonation renal functional reserve (RFR) with postdonation GFR. Donor results were compared to the expected GFR (adjusted to age and single kidney). Other renal outcome indicators measured were albuminuria and blood pressure, and they were compared (predonation and postdonation) using univariate analysis. Results A total of 109 patients were followed up for 47 ± 34 months (range, 12–168): 70% were female, age at donation was 48.58 years (range, 25–70), and predonation serum creatinine was 0.85 ± 0.17 mg/dL. Postnephrectomy GFR (24-hour ClCr) was significantly lower compared to predonation GFR (105.38 ± 21.78 mL/min/1.73 m2 vs 90.14 ± 17.78 mL/min/1.73 m2). However, postdonation GFR was not significantly different compared to the expected GFR. No differences were found for blood pressure or albuminuria. Age >50 and an RFR ( Conclusions In this population of LKD, renal outcome (24-hour CrCl, albuminuria, and blood pressure) was within the expected outcome for healthy individuals after uninephrectomy.

The Modification of Diet in Renal Disease (MDRD) equation is widely used to estimate glomerular filtration rate (eGFR) in kidney transplant (KT) patients. The novel Chronic Kidney Disease-Epidemiology Collaboration equation (CKD-EPI) could improve accuracy of GFR estimation. Our aim was to compare both equations for staging of CKD in KT patients.In a cohort of KT patients, correlation of eGFR according to MDRD and CKD-EPI with 24-hour creatinine clearance (24h-CrCl) was evaluated. Concordance between both equations for CKD staging was performed. MDRD was used for initial CKD staging. The mean difference of GFR between 24h-CrCl and each equation was calculated and Bland-Altman analysis applied.A cohort of 463 KT patients were studied: 67% female, overall average age 46 ± 14 years, 41% living donor, mean time of transplantation 71 months (3-95), and mean serum creatinine 1.68 ± 1.03 mg/dL. For the whole cohort (all CKD stages), eGFR by CKD-EPI was 5.33 mL/min/1.73 m(2) higher than by MDRD (P .01). For CKD stages 1, 2, and 3A, the mean eGFR differences (CKD-EPI - MDRD) were 13.98 ± 3.27, 8.2 ± 1.98, and 5.34 ± 1.32 mL/min/1,73 m(2), respectively. The percentage of patients with eGFR 60 mL/min/1.73 m(2) decreased from 63.8% according to MDRD to 53.9% with the use of CKD-EPI. In women and patients ≤65 years old, eGFR by CKD-EPI was 5.98 and 5.81 mL/min/1.73 m(2) higher, respectively, than by MDRD (P .01).The novel CKD-EPI reduces the number of patients with eGFR 60 mL/min/1.73 m(2) and consequently assigns lower CKD stages to our KT population.