Impact of Remote Monitoring on Standardized Outcomes in Nephrology-Peritoneal Dialysis.

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.

El modelo de control de anemia: ¿ayuda al nefrólogo en la decisión terapéutica para el manejo de la anemia? / The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia?

INTRODUCCIÓN: La anemia es frecuente en los pacientes en hemodiálisis, y su tratamiento con estimulantes de la eritropoyesis (AEE) resulta complejo debido a múltiples factores. OBJETIVOS: Valorar la utilidad del modelo de control de anemia (MCA) en el tratamiento de la anemia en hemodiálisis. MÉTODOS: El MCA es un software que predice la dosis óptima de darbepoetina y hierro sacarosa para alcanzar niveles de hemoglobina (Hb) y ferritina deseados, emitiendo sugerencias de prescripción. Estudio realizado en clínicas de diálisis de 18 meses de duración en dos fases de intervención (FI) con MCA (FI1, n: 213; FI2, n: 218) separadas por una fase de control (FC, n: 219). El resultado primario fue el porcentaje de Hb en rango y la mediana de dosis de AEE y los resultados secundarios fueron las transfusiones, las hospitalizaciones o los acontecimientos cardiovasculares. Análisis a nivel de clínica y de pacientes valorando la variabilidad de la Hb mediante la desviación estándar (DE) de esta. También se analizaron pacientes con la mayoría de sugerencias confirmadas (grupo MCA cumplidores) RESULTADOS: El MCA aumentó el porcentaje de Hb en rango: 80,9% FI2 frente a 72,7% en FC, y redujo el consumo de darbepoetina (FI1: 20 [70]; FC 30 [80] μg, p = 0,032) con menor fluctuación de la Hb (0,91 ± 0,49 en FC a 0,82 ± 0,37g/dl en FI2; p < 0,05) mejorando en el grupo MCA cumplidores. En cuanto a los resultados secundarios, descendieron con el uso del MCA. CONCLUSIONES: El MCA ayuda a obtener mejores resultados de anemia en los pacientes en hemodiálisis, minimizando los riesgos del tratamiento con AEE y reduciendo costes

INTRODUCTION: Anaemia is common in haemodialysis patients and treating it with erythropoiesis-stimulating agents (ESAs) is complex due to many factors. OBJECTIVES: To assess the usefulness of the Anaemia Control Model (ACM) in the treatment of anaemia in haemodialysis. METHODS: ACM is a software that predicts the optimal dose of darbepoetin and iron sucrose to achieve target haemoglobin (Hb) and ferritin levels, and makes prescription suggestions. Study conducted in dialysis clinics lasting 18months with two intervention phases (IPs) with ACM (IP1, n:213; IP2, n:218) separated by a control phase (CP, n:219). The primary outcome was the percentage of Hb in range and the median dose of ESAs, and the secondary outcomes were transfusion, hospitalisation and cardiovascular events. Clinical and patient analyses were performed. Hb variability was assessed by the standard deviation (SD) of the Hb. We also analysed the patients with most of the suggestions confirmed (ACM compliant group). RESULTS: ACM increased the percentage of Hb in range: 80.9% in IP2, compared with 72.7% in the CP and reduced the intake of darbepoetin (IP1: 20 [70]; CP 30 [80] μg P = 0.032) with less Hb fluctuation (0.91 ± 0.49 in the CP to 0.82 ± 0.37 g/dl in IP2, P < 0.05), improving in the ACM compliant group. The secondary outcomes decreased with the use of ACM. CONCLUSIONS: ACM helps to obtain better anaemia results in haemodialysis patients, minimising the risks of treatment with ESAs and red

The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia? / El modelo de control de anemia: ¿ayuda al nefrólogo en la decisión terapéutica para el manejo de la anemia?

INTRODUCTION: Anaemia is common in haemodialysis patients and treating it with erythropoiesis-stimulating agents (ESAs) is complex due to many factors. OBJECTIVES: To assess the usefulness of the Anaemia Control Model (ACM) in the treatment of anaemia in haemodialysis. METHODS: ACM is a software that predicts the optimal dose of darbepoetin and iron sucrose to achieve target haemoglobin (Hb) and ferritin levels, and makes prescription suggestions. Study conducted in dialysis clinics lasting 18months with two intervention phases (IPs) with ACM (IP1, n:213; IP2, n:218) separated by a control phase (CP, n:219). The primary outcome was the percentage of Hb in range and the median dose of ESAs, and the secondary outcomes were transfusion, hospitalisation and cardiovascular events. Clinical and patient analyses were performed. Hb variability was assessed by the standard deviation (SD) of the Hb. We also analysed the patients with most of the suggestions confirmed (ACM compliant group). RESULTS: ACM increased the percentage of Hb in range: 80.9% in IP2, compared with 72.7% in the CP and reduced the intake of darbepoetin (IP1: 20 [70]; CP 30 [80] µg P=0.032) with less Hb fluctuation (0.91±0.49 in the CP to 0.82±0.37g/dl in IP2, P<0.05), improving in the ACM compliant group. The secondary outcomes decreased with the use of ACM. CONCLUSIONS: ACM helps to obtain better anaemia results in haemodialysis patients, minimising the risks of treatment with ESAs and reducing costs.

Infarto agudo de miocardio con elevación del segmento ST como recaída temprana de una tiroiditis subaguda de De Quervain / Acute myocardial infarction with ST-segment elevation as an early sign of relapse in subacute (De Quervaine) thyroiditis

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