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Remote monitoring as a surveillance method in patients on automated peritoneal dialysis for preventing complications and COVID-19 contagion.
Cuevas-Budhart, Miguel A; Trejo-Villeda, Miguel A; Cabrera Delgado, Miriam; Hernandez-Franco, Beatriz; Ávila Díaz, Marcela; Ramos-Sanchez, Alfonso; Paniagua, Ramón.
Afiliação
  • Cuevas-Budhart MA; Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Siglo XXI, Instituto del Seguro Social, Mexico City, Mexico.
  • Trejo-Villeda MA; Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Siglo XXI, Instituto del Seguro Social, Mexico City, Mexico.
  • Cabrera Delgado M; Baxter Healthcare Corporation, Mexico city, Mexico.
  • Hernandez-Franco B; Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Siglo XXI, Instituto del Seguro Social, Mexico City, Mexico.
  • Ávila Díaz M; Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Siglo XXI, Instituto del Seguro Social, Mexico City, Mexico.
  • Ramos-Sanchez A; Macrotech, Santo Domingo, Dominican Republic.
  • Paniagua R; Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Siglo XXI, Instituto del Seguro Social, Mexico City, Mexico. Electronic address: jrpaniaguas@gmail.com.
J Infect Public Health ; 16(10): 1619-1624, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37586134
BACKGROUND: Due to the health emergency of COVID-19, telemedicine has become more relevant. Remote monitoring conspicuous as a valuable tool for the clinical follow-up of kidney patients, in this case, who are treated with automated peritoneal dialysis. This study aims to describe the use of remote monitoring as a surveillance method in a cohort of patients on automated peritoneal dialysis prevent complications and COVID-19 contagion. METHODS: Study of a cohort of patients who initially participated in a randomized block clinical trial in which the use of Automated Peritoneal Dialysis with Remote Monitoring (APD-RM) was compared with conventional treatment. A descriptive analysis was performed of the rates of infection by COVID-19, the time of incidence until this, mortality, and rates of transfer to hemodialysis. In addition, survival was measured by survival curves. RESULTS: Of the 509 patients, 19 were positive for COVID-19 (incidence rate of 7.0 episodes/100 patient-year), and only six patients recovered from the infection; the death rate was 2.6 % compared to all-cause death of 9.8 %. The most affected group of patients were those over 50 years old, with 71.4 % mortality, in contrast to younger patients infected, with a mortality of 60 %. During the follow-up period, 21 patients were transferred to HD: six due to peritonitis, five due to UF failure, seven due to catheter dysfunction, one due to uremic syndrome, one due to COVID-19, and one by surgical intervention. CONCLUSION: APD-RM patients have a significant advantage over other dialysis therapies because the use of telemedicine not only provides continuity in the patient's clinical treatment but also favors the prevention of COVID-19 infection, the management and prevention of complications inherent to therapy and the preservation of the life of Peritoneal Dialysis patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diálise Peritoneal / Telemedicina / COVID-19 Tipo de estudo: Clinical_trials / Etiology_studies / Screening_studies Limite: Humans / Middle aged Idioma: En Revista: J Infect Public Health Assunto da revista: DOENCAS TRANSMISSIVEIS / SAUDE PUBLICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diálise Peritoneal / Telemedicina / COVID-19 Tipo de estudo: Clinical_trials / Etiology_studies / Screening_studies Limite: Humans / Middle aged Idioma: En Revista: J Infect Public Health Assunto da revista: DOENCAS TRANSMISSIVEIS / SAUDE PUBLICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Reino Unido