Primary membranous nephropathy in the Italian region of Emilia Romagna: results of a multicenter study with extended follow-up.

BACKGROUND: Since primary membranous nephropathy is a heterogeneous disease with variable outcomes and multiple possible therapeutic approaches, all 13 Nephrology Units of the Italian region Emilia Romagna decided to analyze their experience in the management of this challenging glomerular disease. METHODS: We retrospectively studied 205 consecutive adult patients affected by biopsy-proven primary membranous nephropathy, recruited from January 2010 through December 2017. The primary outcome was patient and renal survival. The secondary outcome was the rate of complete remission and partial remission of proteinuria. Relapse incidence, treatment patterns and adverse events were also assessed. RESULTS: Median (IQR) follow-up was 36 (24-60) months. Overall patient and renal survival were 87.4% after 5 years. At the end of follow-up, 83 patients (40%) had complete remission and 72 patients (35%) had partial remission. Among responders, less than a quarter (23%) relapsed. Most patients (83%) underwent immunosuppressive therapy within 6 months of biopsy. A cyclic regimen of corticosteroid and cytotoxic agents was the most commonly used treatment schedule (63%), followed by rituximab (28%). Multivariable analysis showed that the cyclic regimen significantly correlates with complete remission (odds ratio 0.26; 95% CI 0.08-0.79) when compared to rituximab (p < 0.05). CONCLUSIONS: In our large study, both short- and long-term outcomes were positive and consistent with those published in the literature. Our data suggest that the use of immunosuppressive therapy within the first 6 months after biopsy appears to be a winning strategy, and that the cyclic regimen also warrants a prominent role in primary membranous nephropathy treatment, since definitive proof of rituximab superiority is lacking.

Overcoming challenges in patient selection and monitoring in combined heart and kidney transplantation.

Combined heart-kidney transplantation (HKT) is a growing therapeutic strategy in patients with advanced heart failure (HF) and concomitant chronic kidney disease (CKD). Although patients with advanced HF and need for chronic haemodialysis have a clear indication for combined HKT, challenges to current practice lie in identifying those patients with severely depressed kidney function, which will not recover kidney function after restoration of appropriate haemodynamic conditions following heart transplantation (HT) alone. Because of the paucity of available organs, maximisation of kidney graft utility whilst minimising the operative risks associated with combined transplantation is mandatory. The benefits of HKT go beyond the mere restoration of kidney function. Data from registry analysis show that HKT improves overall survival in patients with CKD, as compared to heart transplant only, and it is associated with reduced incidence of heart allograft rejection, likely through the promotion of host immune tolerance mechanisms. In patients not requiring chronic dialysis, kidney-after-heart strategy may be explored, instead of combined HKT, in particular when the aetiology of CKD is unclear. This indeed allows for monitoring and gaging of indications for combined transplantation in the postoperative period. This approach however should be matched with priority listing for kidney transplantation given the high waitlist mortality in heart transplant recipients with associated CKD. The use of kidney machine perfusion may represent an additional tool to optimise the outcome of HKT, allowing more time to stabilise the patient after HT surgery.

Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images.

BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic prognostic score, assessed against ground truth (kidney failure) among patients with IgA nephropathy who were treated over 39 years. We assessed noninferiority in comparison with the histologic component of currently validated predictive tools. We correlated additional histologic features with our deep learning predictive score to identify potential additional predictive features. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Training for deep learning was performed with randomly selected, digitalized, cortical Periodic acid-Schiff-stained sections images (363 kidney biopsy specimens) to develop our deep learning predictive score. We estimated noninferiority using the area under the receiver operating characteristic curve (AUC) in a randomly selected group (95 biopsy specimens) against the gold standard Oxford classification (MEST-C) scores used by the International IgA Nephropathy Prediction Tool and the clinical decision supporting system for estimating the risk of kidney failure in IgA nephropathy. We assessed additional potential predictive histologic features against a subset (20 kidney biopsy specimens) with the strongest and weakest deep learning predictive scores. RESULTS: We enrolled 442 patients; the 10-year kidney survival was 78%, and the study median follow-up was 6.7 years. Manual MEST-C showed no prognostic relationship for the endocapillary parameter only. The deep learning predictive score was not inferior to MEST-C applied using the International IgA Nephropathy Prediction Tool and the clinical decision supporting system (AUC of 0.84 versus 0.77 and 0.74, respectively) and confirmed a good correlation with the tubolointerstitial score (r=0.41, P<0.01). We observed no correlations between the deep learning prognostic score and the mesangial, endocapillary, segmental sclerosis, and crescent parameters. Additional potential predictive histopathologic features incorporated by the deep learning predictive score included (1) inflammation within areas of interstitial fibrosis and tubular atrophy and (2) hyaline casts. CONCLUSIONS: The deep learning approach was noninferior to manual histopathologic reporting and considered prognostic features not currently included in MEST-C assessment. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_07_26_CJN01760222.mp3.

[Monoclonal gammopathies and kidney: a diagnostic challenge without any clues].

Diagnosis of monoclonal gammopathy of renal significance (MGRS) with histopathologic features of proliferative GN with monoclonal immunoglobulin deposits (PGNMID) is a challenge for clinicians because of the absence of laboratory findings suggestive of glomerular involvement in paraproteinemia. Renal biopsy remains the gold standard for diagnosis of PGNMID because it is a monoclonal gammopathy with kidney damage often "without a detectable serum/urine clone". Through this case report, we want to focus on the complexity both in the diagnostic process and in monitoring the renal-hematological response to therapy.

The Nephrologist's Role in the Collaborative Multi-Specialist Network Taking Care of Patients with Diabetes on Maintenance Hemodialysis: An Overview.

Diabetes mellitus is the leading cause of renal failure in incident dialysis patients in several countries around the world. The quality of life for patients with diabetes in maintenance hemodialysis (HD) treatment is in general poor due to disease complications. Nephrologists have to cope with all these problems because of the "total care model" and strive to improve their patients' outcome. In this review, an updated overview of the aspects the nephrologist must face in the management of these patients is reported. The conventional marker of glycemic control, hemoglobin A1c (HbA1c), is unreliable. HD itself may be responsible for dangerous hypoglycemic events. New methods of glucose control could be used even during dialysis, such as a continuous glucose monitoring (CGM) device. The pharmacological control of diabetes is another complex topic. Because of the risk of hypoglycemia, insulin and other medications used to treat diabetes may need dose adjustment. The new class of antidiabetic drugs dipeptidyl peptidase 4 (DPP-4) inhibitors can safely be used in non-insulin-dependent end-stage renal disease (ESRD) patients. Nephrologists should take care to improve the hemodynamic tolerance to HD treatment, frequently compromised by the high level of ultrafiltration needed to counter high interdialytic weight gain. Kidney and pancreas transplantation, in selected patients with diabetes, is the best therapy and is the only approach able to free patients from both dialysis and insulin therapy.

COVID-19 Infection: Viral Clearance and Antibody Response in Dialysis Patients and Renal Transplant Recipients.

BACKGROUND/AIMS: The coronavirus disease 2019 (CO-VID-19) pandemic is the major current health emergency worldwide, adding a significant burden also to the community of nephrologists for the management of their patients. Here, we analyzed the impact of COVID-19 infection in renal patients to assess the time to viral clearance, together with the production and persistence of IgG and IgM antibody response, in consideration of the altered immune capacity of this fragile population. METHODS: Viral clearance and antibody kinetics were investigated in 49 renal patients recovered from COVID-19 infection: 7 of them with chronic decompensated renal failure, 31 under dialysis treatment, and 11 kidney transplant recipients. RESULTS: The time span between the diagnosis of infection and recovery based on laboratory testing (2 negative nasopharyngeal swabs in consecutive days) was 31.7 ± 13.3 days. Three new positive cases were detected from 8 to 13 days following recovery. At the first serological determination after swab negativization, all the patients developed IgG and IgM antibodies. The semiquantitative analysis showed a progressive increase in IgG and a slow reduction in IgM. DISCUSSION/CONCLUSION: In subjects with decompensated chronic kidney disease, under dialysis and in transplant recipients, viral clearance is lengthened compared to the general population. However, in spite of their common status of immunodepression, all of them were able to produce specific antibodies. These data might provide useful insights for monitoring and planning health-care activities in the weak category of patients with compromised renal function recovered from COVID-19.

[Renal function performance in CKD stage 5: a sealed fate?]

Introduction and aims: Stages 4 and 5 of chronic kidney disease (CKD) have always been considered hard to modify in their speed and evolution. We retrospectively evaluated our CKD stage 5 patients (from 01/1/2016 to 12/31/2018), with a view to analyzing their kidney function evolution. Material and Methods: We included only patients with longer than 6 months follow-up and at least 4 clinical-laboratory controls that included measured Creatinine Clearance (ClCr) and estimated GFR with CKD-EPI (eGFR). We evaluated: the agreement between ClCr and eGFR through Bland-Altman analysis; progression rate, classified as fast (eGFR loss >5ml/min/year), slow (eGFR loss 1-5 ml/min/year) and non-progressive (eGFR loss <1 ml/min/year or eGFR increase). We also evaluated which clinical-laboratory parameters (diabetes, blood pressure control, use of ACEi/ARBs, ischemic myocardiopathy, peripheral obliterant arteriopathy (POA), proteinuria, hemoglobin, uric acid, PTH, phosphorus) were associated to the different eGFR progression classes by means of bivariate regression and multinomial multiple regression model. Results: Measured CrCl and eGFR where often in agreement, especially for GFR values <12ml/min. The average slope of eGFR was -3.05 ±3.68 ml/min/1.73 m2/year. The progression of kidney function was fast in 17% of the patients, slow in 57.6%, non-progressive in 25.4%. At the bivariate analysis, a fast progression was associated with poor blood pressure control (p=0.038) and ACEi/ARBs use (p=0.043). In the multivariable model, only peripheral obliterative arteriopathy proved associated to an increased risk of fast progression of eGFR (relative risk ratio=5.97). Discussion: Less than one fifth of our patients presented a fast GFR loss (>5 ml/min/year). The vast majority showed a slow progression, stabilisation or even an improvement. Despite the limits due to the small sample size, the data has encouraged us not to consider CKD stage 5 as an inexorable and short journey towards artificial replacement therapy.

Diffusion tensor imaging in renal artery stenosis: a preliminary report.

OBJECTIVE: To investigate the diffusion properties in the kidneys affected by renal artery stenosis (RAS) using diffusion tensor imaging (DTI). METHODS: In this prospective study, 35 patients with RAS and 15 patients without renal abnormalities were enrolled and examined using DTI. Cortical and medullary regions of interest (ROIs) were located to obtain the corresponding values of the apparent diffusion coefficient (ADC) and fractional anisotropy (FA). The cortical and medullary ADC and FA were compared in the kidney affected by variable degrees of stenosis (RAS 50-75% and >75%) vs controls, using the one-way ANOVA and Student's t-test. The Spearman correlation test was used to correlate the mean ADC and FA values in the cortex and medulla with the estimate glomerular filtration rate (eGFR). RESULTS: For the controls, the ADC value was significantly (p = 0.03) higher in the cortex than in the medulla; the FA value was significantly (p = 0.001) higher in the medulla than in the cortex. Compared with the controls, a significant reduction in the cortical ADC was present with a RAS of 50-75% and >75% (p = 0.001 and 0.041, respectively); a significant reduction in the medullary FA was verified only for RAS >75% (p = 0.023). The Spearman correlation test did not show a statistically significant correlation between the cortical and medullary ADC and FA, and the eGFR. CONCLUSION: The alterations of the diffusional parameters caused by RAS can be detected by DTI and could be useful in the diagnostic evaluation of these patients. ADVANCES IN KNOWLEDGE: 1. Magnetic resonance DTI could provide useful information about renal involvement in RAS.2. Magnetic resonance DTI allows non-invasive repeatable evaluation of the renal parenchyma, without contrast media.

Developing and validating an algorithm to identify incident chronic dialysis patients using administrative data.

BACKGROUND: Administrative healthcare databases are widespread and are often standardized with regard to their content and data coding, thus they can be used also as data sources for surveillance and epidemiological research. Chronic dialysis requires patients to frequently access hospital and clinic services, causing a heavy burden to healthcare providers. This also means that these patients are routinely tracked on administrative databases, yet very few case definitions for their identification are currently available. The aim of this study was to develop two algorithms derived from administrative data for identifying incident chronic dialysis patients and test their validity compared to the reference standard of the regional dialysis registry. METHODS: The algorithms are based on data retrieved from hospital discharge records (HDR) and ambulatory specialty visits (ASV) to identify incident chronic dialysis patients in an Italian region. Subjects are included if they have at least one event in the HDR or ASV databases based on the ICD9-CM dialysis-related diagnosis or procedure codes in the study period. Exclusion criteria comprise non-residents, prevalent cases, or patients undergoing temporary dialysis, and are evaluated only on ASV data by the first algorithm, on both ASV and HDR data by the second algorithm. We validated the algorithms against the Emilia-Romagna regional dialysis registry by searching for incident patients in 2014 and performed sensitivity analyses by modifying the criteria to define temporary dialysis. RESULTS: Algorithm 1 identified 680 patients and algorithm 2 identified 676 initiating dialysis in 2014, compared to 625 patients included in the regional dialysis registry. Sensitivity for the two algorithms was respectively 90.8 and 88.4%, positive predictive value 84.0 and 82.0%, and percentage agreement was 77.4 and 74.1%. CONCLUSIONS: Algorithms relying on retrieval of administrative records have high sensitivity and positive predictive value for the identification of incident chronic dialysis patients. Algorithm 1, which showed the higher accuracy and has a simpler case definition, can be used in place of regional dialysis registries when they are not present or sufficiently developed in a region, or to improve the accuracy and timeliness of existing registries.

Gene Panel Analysis in a Large Cohort of Patients With Autosomal Dominant Polycystic Kidney Disease Allows the Identification of 80 Potentially Causative Novel Variants and the Characterization of a Complex Genetic Architecture in a Subset of Families.

Introduction: Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common inherited disorders in humans and the majority of patients carry a variant in either PKD1 or PKD2. Genetic testing is increasingly required for diagnosis, prognosis, and treatment decision, but it is challenging due to segmental duplications of PKD1, genetic and allelic heterogeneity, and the presence of many variants hypomorphic or of uncertain significance. We propose an NGS-based testing strategy for molecular analysis of ADPKD and its phenocopies, validated in a diagnostic setting. Materials and Methods: Our protocol is based on high-throughput simultaneous sequencing of PKD1 and PKD2 after long range PCR of coding regions, followed by a masked reference genome alignment, and MLPA analysis. A further screening of additional 14 cystogenes was performed in negative cases. We applied this strategy to analyze 212 patients with a clinical suspicion of ADPKD. Results and Discussion: We detected causative variants (interpreted as pathogenic/likely pathogenic) in 61.3% of our index patients, and variants of uncertain clinical significance in 12.5%. The majority (88%) of genetic variants was identified in PKD1, 12% in PKD2. Among 158 distinct variants, 80 (50.6%) were previously unreported, confirming broad allelic heterogeneity. Eleven patients showed more than one variant. Segregation analysis indicated biallelic disease in five patients, digenic in one, de novo variant with unknown phase in two. Furthermore, our NGS protocol allowed the identification of two patients with somatic mosaicism, which was undetectable with Sanger sequencing. Among patients without PKD1/PKD2 variants, we identified three with possible alternative diagnosis: a patient with biallelic mutations in PKHD1, confirming the overlap between recessive and dominant PKD, and two patients with variants in ALG8 and PRKCSH, respectively. Genotype-phenotype correlations showed that patients with PKD1 variants predicted to truncate (T) the protein experienced end-stage renal disease 9 years earlier than patients with PKD1 non-truncating (NT) mutations and >13 years earlier than patients with PKD2 mutations. ADPKD-PKD1 T cases showed a disease onset significantly earlier than ADPKD-PKD1 NT and ADPK-PKD2, as well as a significant earlier diagnosis. These data emphasize the need to combine clinical information with genetic data to achieve useful prognostic predictions.

What volume to choose to assess online Kt/V?

INTRODUCTION: Urea distribution volume (V) can be assessed in different ways, among them the anthropometric Watson Volume (VW). However, many studies have shown that VW does not coincide with V and that the latter can be more accurately estimated with other methods. The present multicentre study was designed to answer the question: what V to choose to assess online Kt/V? MATERIALS AND METHODS: Pre- and postdialysis blood urea nitrogen concentrations and the usual input data set for urea kinetic modelling were obtained for a single dialysis session in 201 Caucasian patients treated in 9 Italian dialysis units. Only dialysis machines measuring ionic dialysance (ID) were utilized. ID reflects very accurately the mean effective dialyser urea clearance (Kd). Six different V values were obtained: the first one was VW; the second one was computed from the equation established by the HEMO Study to predict the single pool-adjusted modelled V from VW (VH) (Daugirdas JT et al. KI 64: 1108, 2003); the others were estimated kinetically as: 1. V_ID, in which ID is direct input in the in the double pool variable volume (dpVV) calculation by means of the Solute-solver software; 2. V_Kd, in which the estimated Kd is direct input in the dpVV calculation by means of the Solute-solver software; 3. V_KTV, in which V is calculated by means of the second generation Daugirdas equation; 4. V_SPEEDY, in which ID is direct input in the dpVV calculation by means of the SPEEDY software able to provide results quite similar to those provided by Solute-solver. RESULTS: Mean± SD of the main data are reported: measured ID was 190.6 ± 29.6 mL/min, estimated Kd was 211.6 ± 29.0 mL/min. The relationship between paired data was poor (R2 = 0.34) and their difference at the Bland-Altman plot was large (21 ± 27 mL/min). VW was 35.3 ± 6.3 L, VH 29.5 ± 5.5, V_ID 28.99 ± 7.6 L, V_SPEEDY 29.4 ± 7.6 L, V_KTV 29.7 ± 7.0 L. The mean ratio VW/V_ID was 1.22, (i.e. VW overestimated V_ID by about 22%). The mean ratio VH/V_ID was 1.02 (i.e. VH overestimated V_ID by only 2%). The relationship between paired data of V_ID and VW was poor (R2 = 0.48) and their mean difference at the Bland-Altman plot was very large (- 6.39 ± 5.59 L). The relationship between paired data of V_ID and VH was poor (R2 = 47) and their mean difference was small but with a large SD (- 0.59 ± 5.53 L). The relationship between paired data of V_ID and V_SPEEDY was excellent (R2 = 0.993) and their mean difference at the Bland-Altman plot was very small (- 0.54 ± 0.64 L). The relationship between paired data of V_ID and V_KTV was excellent (R2 = 0.985) and their mean difference at the Bland-Altman plot was small (- 0.85 ± 1.06 L). CONCLUSIONS: V_ID can be considered the reference method to estimate the modelled V and then the first choice to assess Kt/V. V_SPEEDY is a valuable alternative to V_ID. V_KTV can be utilized in the daily practice, taking also into account its simple way of calculation. VW is not advisable because it leads to underestimation of Kt/V by about 20%.

Heterogeneity in old fibroblasts is linked to variability in reprogramming and wound healing.

Age-associated chronic inflammation (inflammageing) is a central hallmark of ageing1, but its influence on specific cells remains largely unknown. Fibroblasts are present in most tissues and contribute to wound healing2,3. They are also the most widely used cell type for reprogramming to induced pluripotent stem (iPS) cells, a process that has implications for regenerative medicine and rejuvenation strategies4. Here we show that fibroblast cultures from old mice secrete inflammatory cytokines and exhibit increased variability in the efficiency of iPS cell reprogramming between mice. Variability between individuals is emerging as a feature of old age5-8, but the underlying mechanisms remain unknown. To identify drivers of this variability, we performed multi-omics profiling of fibroblast cultures from young and old mice that have different reprogramming efficiencies. This approach revealed that fibroblast cultures from old mice contain 'activated fibroblasts' that secrete inflammatory cytokines, and that the proportion of activated fibroblasts in a culture correlates with the reprogramming efficiency of that culture. Experiments in which conditioned medium was swapped between cultures showed that extrinsic factors secreted by activated fibroblasts underlie part of the variability between mice in reprogramming efficiency, and we have identified inflammatory cytokines, including TNF, as key contributors. Notably, old mice also exhibited variability in wound healing rate in vivo. Single-cell RNA-sequencing analysis identified distinct subpopulations of fibroblasts with different cytokine expression and signalling in the wounds of old mice with slow versus fast healing rates. Hence, a shift in fibroblast composition, and the ratio of inflammatory cytokines that they secrete, may drive the variability between mice in reprogramming in vitro and influence wound healing rate in vivo. This variability may reflect distinct stochastic ageing trajectories between individuals, and could help in developing personalized strategies to improve iPS cell generation and wound healing in elderly individuals.

Temporal validation of the CT-PIRP prognostic model for mortality and renal replacement therapy initiation in chronic kidney disease patients.

BACKGROUND: A classification tree model (CT-PIRP) was developed in 2013 to predict the annual renal function decline of patients with chronic kidney disease (CKD) participating in the PIRP (Progetto Insufficienza Renale Progressiva) project, which involves thirteen Nephrology Hospital Units in Emilia-Romagna (Italy). This model identified seven subgroups with specific combinations of baseline characteristics that were associated with a differential estimated glomerular filtration rate (eGFR) annual decline, but the model's ability to predict mortality and renal replacement therapy (RRT) has not been established yet. METHODS: Survival analysis was used to determine whether CT-PIRP subgroups identified in the derivation cohort (n = 2265) had different mortality and RRT risks. Temporal validation was performed in a matched cohort (n = 2051) of subsequently enrolled PIRP patients, in which discrimination and calibration were assessed using Kaplan-Meier survival curves, Cox regression and Fine & Gray competing risk modeling. RESULTS: In both cohorts mortality risk was higher for subgroups 3 (proteinuric, low eGFR, high serum phosphate) and lower for subgroups 1 (proteinuric, high eGFR), 4 (non-proteinuric, younger, non-diabetic) and 5 (non-proteinuric, younger, diabetic). Risk of RRT was higher for subgroups 3 and 2 (proteinuric, low eGFR, low serum phosphate), while subgroups 1, 6 (non-proteinuric, old females) and 7 (non-proteinuric, old males) showed lower risk. Calibration was excellent for mortality in all subgroups while for RRT it was overall good except in subgroups 4 and 5. CONCLUSIONS: The CT-PIRP model is a temporally validated prediction tool for mortality and RRT, based on variables routinely collected, that could assist decision-making regarding the treatment of incident CKD patients. External validation in other CKD populations is needed to determine its generalizability.

[Choice and management of anticoagulation during CRRT].

Continuous renal replacement therapies (CRRT) are widely used in the treatment of acute kidney injury. Several causes, related to the treatment itself or to the patient's condition, determine the coagulation of the extracorporeal circuit. These interruptions (or down-time) have a negative impact on the effectiveness of the treatment in terms of solute clearance and fluid balance. Historically, the choice of anticoagulant has fallen on unfractionated heparin because it is cheap and easy to use. Today, the use of citrate is recommended in most instances because of its high efficacy and safety. Several studies demonstrate the superiority of citrate in terms of filter survival. The reduction of down-time results in a reduction of the delta between the prescribed dialysis dose and the dose that is actually administered (ml/Kg/hour of collected effluent). The literature also agrees that there is a reduction in the incidence of major bleeding events when citrate is used instead of heparin, although there is no impact on mortality rates. Some technical and clinical complexities, secondary to citrate action both as anticoagulant and buffer, still exist in the use of regional citrate anticoagulation. However, complications due to citrate use, such as acid-base balance disorders and hypocalcaemia, are rare and easily reversible. There is not much data about the costs and benefits of using citrate instead of heparin; according to the experience within our own Unit, we have observed a reduction in costs when the data is normalized for 35 ml of effluent administered. Appropriate protocols, accurate surveillance and the automated management of regional citrate anticoagulation thanks to dedicated software make this technique safe and effective.

The PIRP project (Prevenzione Insufficienza Renale Progressiva): how to integrate hospital and community maintenance treatment for chronic kidney disease.

Chronic kidney disease (CKD) represents a global health burden with great economic impact on healthcare and therefore it requires appropriate interventions by Health Care Systems. The PIRP (Prevenzione Insufficienza Renale Progressiva) project is endorsed and funded by the Emilia-Romagna Regional Health Board and involves all the Nephrology Units of the Emilia-Romagna Region (Italy). The project has a predominantly clinical purpose and is expected to bring about a continuous quality improvement in the treatment of patients with CKD. Its aims are to intercept patients in an early phase of CKD, to delay their illness progression and to prevent cardiovascular complications. An integrated care pathway involving nephrologists, general practitioners (GPs) and other specialists has been created to identify patients to whom ambulatory care targeted on effective, efficient pharmaceutical and dietary treatment as well as on lifestyle modifications is subsequently provided. With the cooperation of GPs, in its 13 years of activity the project identified and followed up more than 25,000 CKD patients, who attended the Nephrology units with more than 100,000 visits. The effects of a closer and joint monitoring of CKD patients by GPs and nephrologists can be quantified by the reduction of the mean annual GFR decline (average annual CKD-EPI change: - 0.34 ml/min), and by the decrease in the overall incidence of patients who annually started dialysis in the Emilia-Romagna Region, that dropped from 218.6 (× million) in 2006 to 197.5 (× million) in 2016, corresponding to about 100 cases.

Removal of Bilirubin with a New Adsorbent System: In Vitro Kinetics.

BACKGROUND/AIMS: Many potentially toxic molecules accumulate in the blood during hepatic dysfunction. In clinical practice, it is very difficult to remove bilirubin, the most widely studied toxin, and particularly the unconjugated form, strongly albumin-bound. The aim of this in vitro study was to assess irreversible bilirubin adsorption as a protein-bound compound marker, using Cytosorb® (Cytosorbents Corp.), a new hemoadsorption device designed to remove cytokines. METHODS: We performed 4 in vitro experiments, dynamic and static, with different albumin-bilirubin solutions. RESULTS: All experiments showed the resin's ability to break the albumin-bilirubin complex (Experiment 1, 2), leading to efficient bilirubin removal for 24 h (Removal Rate: 90% Experiment 3) with minimal albumin loss. No sign of bilirubin release from the charged resin was detected (Experiment 4). CONCLUSION: Cytosorb® seems a promising artificial liver support, thanks to its ability to adsorb bilirubin and its proven ability to modulate the cytokines involved in hepatic dysfunction.

[Challenges and results of the PIRP project (Prevenzione della Insufficienza Renale Progressiva) of the Emilia-Romagna Region].

The PIRP project was conceived in 2004; with the aim to face the increased prevalence of chronic kidney disease (CKD) associated with the aging and increased survival of the population. The first phase of the project consisted of training primary care physicians to identify people at risk of CKD and to implement intervention strategies that proved to be effective in preventing CKD it or delaying its progression once it is established. In the second phase of the project, dedicated ambulatories were opened in the nephrology units of Emilia-Romagna hospitals to provide an in-depth assessment and personalized care to CKD patients, following them up until renal failure or death or referring them back to general practitioners, according to the study protocol. A web-based registry was implemented to collect demographic and clinical data on PIRP patients. As of 30 June 2018, the registry included 26.211 CKD patients, with a median follow-up of 24.5 months. Over the 14 years of the PIRP the mean age of incident patients increased from 71.0 years to 74.2 years and the mean eGFR increased from 30.56 to 36.52 mL/min/1.73 m ², proving that the project was successful in recruiting older patients with a better renal function. At 5 years, the percentage of patients still active in the project was =45%.The implementation of the project has seen a reduction in the number of patients arriving every year to the dialysis treatment in E-R (about 100 units less from 2006 to 2016). The PIRP cohort is the largest in Italy and in Europe, which makes it ideal for research based on international comparisons and as a model for national registries.

A comparative study of the risk profile of hemodialysis patients in a for profit network and in two regional registries of the Italian Society of Nephrology.

In 2013, the Italian Society of Nephrology joined forces with Nephrocare-Italy to create a clinical research cohort of patients on file in the data-rich clinical management system (EUCLID) of this organization for the performance of observational studies in the hemodialysis (HD) population. To see whether patients in EUCLID are representative of the HD population in Italy, we set out to compare the whole EUCLID population with patients included in the regional HD registries in Emilia-Romagna (Northern Italy) and in Calabria (Southern Italy), the sole regions in Italy which have systematically collected an enlarged clinical data set allowing comparison with the data-rich EUCLID system. An analysis of prevalent and incident patients in 2010 and 2011 showed that EUCLID patients had a lower prevalence of coronary heart disease, peripheral vascular disease, heart failure, valvular heart disease, liver disease, peptic ulcer and other comorbidities and risk factors and a higher fractional urea clearance (Kt/V) than those in the Emilia Romagna and Calabria registries. Accordingly, survival analysis showed a lower mortality risk in the EUCLID 2010 and 2011 cohorts than in the combined two regional registries in the corresponding years: for 2010, hazard ratio (HR) EUCLID vs. Regional registries: 0.80 [95% confidence interval: 0.71-0.90]; for 2011, HR: 0.76 [0.65-0.90]. However, this difference was nullified by statistical adjustment for the difference in comorbidities and risk factors, indicating that the longer survival in the EUCLID database was attributable to the lower risk profile of patients included in that database. This preliminary analysis sets the stage for future observational studies and indicates that appropriate adjustment for difference in comorbidities and risk factors is needed to generalize to the Italian HD population analyses based on the data-rich EUCLID database.

Management of patients with end-stage renal disease undergoing chemotherapy: recommendations of the Associazione Italiana di Oncologia Medica (AIOM) and the Società Italiana di Nefrologia (SIN).

BACKGROUND: The overall risk of some cancers is increased in patients receiving regular dialysis treatment due to chronic oxidative stress, a weakened immune system and enhanced genomic damage. These patients could benefit from the same antineoplastic treatment delivered to patients with normal renal function, but a better risk/benefit ratio could be achieved by establishing specific guidelines. Key considerations are which chemotherapeutic agent to use, adjustment of dosages and timing of dialysis in relation to the administration of chemotherapy. METHODS: We have reviewed available data present in the literature, including recommendations and expert opinions on cancer risk and use of chemotherapeutic agents in patients with end-stage renal disease. Experts selected by the boards of the societies provided additional information which helped greatly in clarifying some issues on which clear-cut information was missing or available data were conflicting. RESULTS: Data on the optimal use of chemotherapeutic agents or on credible schemes of polychemotherapy in haemodialysed patients are sparse and mainly derive from case reports or small case series. However, recommendations on dosing and timing of dialysis can be proposed for the most prescribed chemotherapeutic agents. DISCUSSION: The use of chemotherapeutic agents as single agents, or in combination, can be safely given in patients with end-stage renal disease. Appropriate dosage adjustments should be considered based on drug dialysability and pharmacokinetics. Coordinated care between oncologists, nephrologists and pharmacists is of pivotal importance to optimise drug delivery and timing of dialysis.

[Hemodialysis and cardiovascular outcome].

Hemodialysis patients often present multiple comorbidities and have a high mortality rate (15-20% per year), mostly due to cardiovascular events. Besides predisposing pathological conditions related to uremia (heart failure, coronary heart disease, left ventricular hypertrophy, arrhythmias), they also have specific risk factors linked to the hemodialysis (HD) treatment in itself: chronic inflammation, fluid overload, autonomic nervous system dysfunction, arterovenous fistula. These factors may affect the hemodynamic compensatory systems (vascular refilling, arteriolar and venous tone, autonomic nervous system response) to fluid removal, with high risk of intra-dialysis hypotension (IDH) episodes or arrhythmic events. IDH is recognized as associated to a negative long term outcome, due to the repeated episodes of organ hypoperfusion with ischemic damage to heart, brain and gut. Over the years, dialysis technology has greatly improved, with the development of continuous and noninvasive monitoring systems, able to control some hemodynamic parameters affecting blood pressure (mainly blood volume and body temperature), with positive results in terms of hemodynamic instability during HD. Furthermore, recent studies suggest that hemodiafiltration may reduce the risk of IDH and cardiovascular mortality, compared with conventional HD. Diabetic and/or old patients, as well as those with a previous cardiovascular event, are the first patients who should receive the new treatment options. Overall, the HD prescription needs to be tailored to each patient's need, to improve the hemodynamic tolerance to treatment and the cardiovascular outcome.