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Chronic diseases are a global concern and a leading cause of death and disability. These conditions require intensive and ongoing medical assistance to maximize outcomes and avoid the risk of frequent flare-ups and hospitalizations, which increase the cost of healthcare. Remote patient management (RPM) is a strategy that allows for accurate home monitoring of chronic patients, enabling the team to improve care through prevention and early identification of problems, with consequent timely interventions. Peritoneal dialysis (PD) is a home-based therapy representing an ideal model for testing the ability of RPM to improve clinical outcomes by allowing the 2-way link between health providers and patients. The literature and our own results confirm that RPM applied to automated peritoneal dialysis (APD) allows an efficient use of healthcare resources, helping to improve tailoring of APD prescription and to intervene early with troubleshooting, reducing the frequency of in-person visits for emergency problems. RPM-APD is today made possible by a cloud-based software providing bidirectional communication between patient's home and the hospital care team (Cycler HOMECHOICE CLARIA with SHARESOURCE platform). This approach can be useful in promptly identifying patients with higher risk of complications: a knowledge-based management permits the reduction of urgent events, and the prevention of clinical complications improving patient outcomes. In our experience, matured over 2 years in a cohort of prevalent patients, we observed a significant reduction of patient drop-out and technique failure, the number of scheduled and unscheduled hospital visits, the number of episodes of overhydration, rate of hospitalization, episodes of non-compliance to prescription, patient and hospital team time spent in travelling and management of therapy, healthcare costs and patient's expenditure, miles travelled by patients from home to hospital and vice versa. The cost/benefit analysis is strongly in favor of the RPM-APD modality versus the traditional periodic hospital visit regime.

Backgroundː Chronic kidney disease stage G5 (CKD G5) patients show an activated but impaired immune system. One function of the FOXP3+ regulatory T (Treg) cells is to preserve tolerance to self while maintaining the ability to fight infectious agents. The aim of this pilot study is to evaluate longitudinal changes in Treg cells before and 1 month after the first dialysis treatment. Materials and methodsː CKD G5 patients not yet on dialysis were enrolled and started on hemodialysis (HD) or peritoneal dialysis (PD). Tregs were analyzed by flow cytometry at two time points: T0 (before the first dialysis treatment) and T1 (1 month after the first dialysis session). Wilcoxon test for dependent samples was used to compare the mean percentage difference between T0 and T1: Δ% = 100 × [(T1 - T0) / T0]. Resultsː 21 patients were enrolled: 8 on HD and 13 on PD. The proportion of total lymphocytes (low side scatter lymphocyte gate) and T lymphocytes (in the CD3+CD4+ gate) did not change significantly 1 month after the start of dialysis in both groups. Treg cells (as CD25+FOXP3+, FOXP3+, or CD25+CD127-), analyzed as percentage of the lymphocyte gate, showed a significant increase post PD (CD25+FOXP3+: median = 35.92; p = 0.0425; FOXP3+: median = 30.85; p = 0.0479 and CD25+CD127-: median = 23.71; p = 0.0215). The same populations, did not change 1 month after the first dialysis session. Conclusionː Our study is the first to evaluate longitudinal effects of dialysis on Treg cells in uremia and suggests that PD was more effective in increasing Treg levels 1 month post initiation of dialysis and may contribute to improvement of inflammatory status. Thus, PD may contribute to better outcomes for patients with renal dysfunction, also maintaining homeostasis of peritoneal and renal tissues.

In chronic kidney disease patients on dialysis (CKD-G5D) accurate assessment of glycemic control is vital to improve their outcome and survival. The best glycemic marker for glucose control in these patients is still debated because several clinical and pharmacological factors may affect the ability of the available biomarkers to reflect the patient's glycemic status properly. This review discusses the role of glycated albumin (GA) both as a biomarker for glucose control and as a prognostic factor in CKD-G5D; it also looks at the pros and cons of GA in comparison to the other markers and its usefulness in hemodialysis and peritoneal dialysis.

The hemolytic uremic syndrome (HUS) is one of the thrombotic microangiopathies and it consists of the triad of nonimmune microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury. The atypical form of HUS (aHUS) is related to causative mutations in complement genes. Some conditions act as a trigger for aHUS in individuals that have a genetic background predisposing to complement activation. Interferon β is a recombinant-protein therapy approved to treat multiple sclerosis (MS), and can be a causative agent in the occurrence of HUS through anti-angiogenic activity. In this paper, we briefly review aHUS clinical and genetic characteristics. Furthermore, we present a case of a 48-year-old woman, diagnosed with MS and treated with INFβ-1b from 2008. In December 2015, she presented with asthenia and loss of muscular strength in the legs and she quickly developed aHUS. Our case suggests that INFβ is a possible triggering factor for HUS.

Chronic diseases are a global concern and a leading cause of death and disability. These conditions require intensive and ongoing medical assistance to maximize outcomes and avoid the risk of frequent flare-ups and hospitalizations, which increase the cost of healthcare. Remote patient management (RPM) is a strategy that allows for accurate home monitoring of chronic patients, enabling the team to improve care through prevention and early identification of problems, with consequent timely interventions. Peritoneal dialysis (PD) is a home-based therapy representing an ideal model for testing the ability of RPM to improve clinical outcomes by allowing the 2-way link between health providers and patients. The literature and our own results confirm that RPM applied to automated peritoneal dialysis (APD) allows an efficient use of healthcare resources, helping to improve tailoring of APD prescription and to intervene early with troubleshooting, reducing the frequency of in-person visits for emergency problems. RPM-APD is today made possible by a cloud-based software providing bidirectional communication between patient’s home and the hospital care team (Cycler HOMECHOICE CLARIA with SHARESOURCE platform). This approach can be useful in promptly identifying patients with higher risk of complications: a knowledge-based management permits the reduction of urgent events, and the prevention of clinical complications improving patient outcomes. In our experience, matured over 2 years in a cohort of prevalent patients, we observed a significant reduction of patient drop-out and technique failure, the number of scheduled and unscheduled hospital visits, the number of episodes of overhydration, rate of hospitalization, episodes of non-compliance to prescription, patient and hospital team time spent in travelling and management of therapy, healthcare costs and patient’s expenditure, miles travelled by patients from home to hospital and vice versa. The cost/benefit analysis is strongly in favor of the RPM-APD modality versus the traditional periodic hospital visit regime.