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Introduction: This study aimed to evaluate the association between the use of remote patient monitoring (RPM) in patients on automated peritoneal dialysis (APD) and the Standardized Outcomes in Nephrology in peritoneal dialysis (SONG-PD) clinical outcomes. Methods: A prospective and multicenter cohort study was conducted on patients with advanced chronic kidney disease on APD, recruited at 16 Spanish Hospitals, between June 1 and December 31, 2021. Patients were divided into 2 cohorts, namely patients on APD with RPM (APD-RPM) and patients on APD without RPM. The primary endpoints were the standardized outcomes of the SONG-PD clinical outcomes: PD-associated infection, cardiovascular disease (CVD), mortality rate, technique survival, and life participation (assessed as health-related quality of life [QoL]). Propensity score matching (PSM) was used to evaluate the association of RPM exposure with the clinical outcomes. Results: A total of 232 patients were included, 176 (75.9%) in the APD-RPM group and 56 (24.1%) in the APD-without-RPM group. The mean patient follow-up time was significantly longer in the APD-RPM group than in the APD-without-RPM group (10.4 ± 2.8 vs. 9.4 ± 3.1 months, respectively; P = 0.02). In the overall study sample, the APD-RPM group was associated with a lower mortality rate (hazard ratio [HR]: 0.08; 95% confidence interval [CI]: 0.01 to 0.69; P = 0.020) and greater technique survival rate (HR: 0.25; 95% CI: 0.11 to 0.59; P = 0.001). After PSM, APD-RPM continued to be associated with better technique survival (HR: 0.23; 95% CI: 0.06 to 0.83; P = 0.024). Conclusion: The use of RPM programs in patients on APD was associated with better survival of the technique and lower mortality rates. However, after PSM, only technique survival was significant.
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BACKGROUND: The efficacy of intravenous (IV) ferric carboxymaltose (FCM) has been demonstrated in haemodialysis and non-dialysis studies, but evidence is lacking in patients undergoing peritoneal dialysis (PD). METHODS: This multicentre, retrospective study evaluated the effectiveness and safety of FCM in patients on PD over 12 months. We retrospectively reviewed the electronic medical records of PD patients who initiated FCM treatment between 2014 and 2017 across seven Spanish centres. RESULTS: Ninety-one patients were included in the safety population (mean ± SD age 57.7 ± 15.0 years) and 70 in the efficacy population (mean age 50.9 ± 14.5 years). No hypersensitivity reaction, FCM discontinuation or dose adjustment due to a serious adverse event (SAE) was registered in the safety population. The most common non-SAEs reported were headache (four events), mild hypotension (three events) and hypertension (two events), among others. In the efficacy population (n = 70), 68.6% of patients achieved ferritin levels of 200-800 ng/mL, 78.4% achieved transferrin saturation (TSAT) >20%, and 62.8% achieved TSAT >20% and ferritin >200 ng/mL after 12 months of FCM initiation (P < 0.01). Haemoglobin (Hb) levels were maintained at >11 g/dL with a lower dose of darbepoetin throughout the follow-up. The sub-analysis of patients naïve to IV iron and with absolute or relative iron deficiency (n = 51) showed that 76.5% reached ferritin >200 ng/mL, 80.4% TSAT >20% and Hb increased (1.2 g/dL) after 4 months of FCM treatment (P < 0.01). CONCLUSION: In this multicentre, retrospective, real-world study conducted in the PD population, FCM was effective, safe and easy to administer during routine clinical visits.
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BACKGROUND: Body weight has been increasing in the general population and is an established risk factor for hypertension, diabetes, and all-cause and cardiovascular mortality. Patients undergoing peritoneal dialysis (PD) gain weight, mainly during the first months of treatment. The aim of this study was to assess the relationship between body composition and metabolic and inflammatory status in patients undergoing PD. METHODS: This was a prospective, non-interventional study of prevalent patients receiving PD. Body composition was studied every 3 months using bioelectrical impedance (BCM(®)). We performed linear regression for each patient, including all BCM(®) measurements, to calculate annual changes in body composition. Thirty-one patients in our PD unit met the inclusion criteria. RESULTS: Median follow-up was 26 (range 17-27) months. Mean increase in weight was 1.8 ± 2.8 kg/year. However, BCM(®) analysis revealed a mean increase in fat mass of 3.0 ± 3.2 kg/year with a loss of lean mass of 2.3 ± 4.1 kg/year during follow-up. The increase in fat mass was associated with the conicity index, suggesting that increases in fat mass are based mainly on abdominal adipose tissue. Changes in fat mass were directly associated with inflammation parameters such as C-reactive protein (r = 0.382, P = 0.045) and inversely associated with high-density lipoprotein cholesterol (r=-0.50, P = 0.008). CONCLUSIONS: Follow-up of weight and body mass index can underestimate the fat mass increase and miss lean mass loss. The increase in fat mass is associated with proinflammatory state and alteration in lipid profile.
