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1.
Clin Transplant ; 34(10): e14063, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-32786120

RESUMO

The current pandemic SARS-CoV-2 has required an unusual allocation of resources that can negatively impact chronically ill patients and high-complexity procedures. Across the European Reference Network on Pediatric Transplantation (ERN TransplantChild), we conducted a survey to investigate the impact of the COVID-19 outbreak on pediatric transplant activity and healthcare practices in both solid organ transplantation (SOT) and hematopoietic stem cell transplantation (HSCT). The replies of 30 professionals from 18 centers in Europe were collected. Twelve of 18 centers (67%) showed a reduction in their usual transplant activity. Additionally, outpatient visits have been modified and restricted to selected ones, and the use of telemedicine tools has increased. Additionally, a total of 14 COVID-19 pediatric transplanted patients were identified at the time of the survey, including eight transplant recipients and six candidates for transplantation. Only two moderate-severe cases were reported, both in HSCT setting. These survey results demonstrate the limitations in healthcare resources for pediatric transplantation patients during early stages of this pandemic. COVID-19 disease is a major worldwide challenge for the field of pediatric transplantation, where there will be a need for systematic data collection, encouraging regular discussions to address the long-term consequences for pediatric transplantation candidates, recipients, and their families.


Assuntos
COVID-19/prevenção & controle , Alocação de Recursos para a Atenção à Saúde/tendências , Acessibilidade aos Serviços de Saúde/tendências , Transplante de Células-Tronco Hematopoéticas/tendências , Controle de Infecções/tendências , Transplante de Órgãos/tendências , Padrões de Prática Médica/tendências , Adolescente , COVID-19/epidemiologia , COVID-19/etiologia , Criança , Pré-Escolar , Europa (Continente)/epidemiologia , Feminino , Pesquisas sobre Atenção à Saúde , Humanos , Lactente , Recém-Nascido , Controle de Infecções/métodos , Masculino , Pandemias , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Complicações Pós-Operatórias/prevenção & controle , Fatores de Risco , Telemedicina/tendências
3.
J Ren Nutr ; 26(6): 391-395, 2016 11.
Artigo em Inglês | MEDLINE | ID: mdl-27450205

RESUMO

OBJECTIVE: To determine the most potent bioelectrical impedance analysis (BIA) marker of malnutrition and to adjust its application to hemodialysis (HD) patients. DESIGN: An observational study. SUBJECTS: A total of 99 patients on maintenance HD were enrolled in the study. INTERVENTION: The nutritional state of the patients was examined before and after the HD procedure using Subjective Global Assessment Scale (SGA), serum albumin, body mass index and BIA-derived fat-free mass index, reactance, resistance, and phase angle (PA). Malnutrition defined by the SGA questionnaire was used to detect the most potent marker of malnutrition. This marker was further analyzed and corrected for the excess fluid, age, and gender producing the nutritional state-specific cutoffs. RESULTS: The SGA rates of nutritional state were as follows: 57.6% (57) well nourished, 28.3% (28) moderately malnourished, and 14.1% (14) severely malnourished. Multivariate forward logistic regression analysis of the nutrition markers revealed PA as the most potent malnutrition predictor (odds ratio = 3.69; 95% confidence interval [CI]: 1.59-8.62; P = .002). PA was adjusted for the excess fluid (5.00 ± 0.97 vs 4.87 ± 1.08 P < .001). Patients were assigned into groups with adjusted PA values below the 5th through the 50th percentile of the mean PA reference value. The moderately malnourished patients were most accurately identified by the percentile group of <25th (area under the curve = 0.70; 95% CI: 0.60-0.81; P = .001), and the severely malnourished patients were most accurately identified by the percentile group of <15th (area under the curve = 0.74; 95% CI: 0.62-0.85; P = .005). CONCLUSION: Malnutrition is present almost in a half of the HD patients. BIA-provided PA is the most potent predictor of malnutrition. PA can be adjusted for the excess fluid after HD, age, and gender and used accordingly.


Assuntos
Composição Corporal , Impedância Elétrica , Desnutrição , Diálise Renal/efeitos adversos , Adulto , Idoso , Índice de Massa Corporal , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Avaliação Nutricional , Estado Nutricional
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