Detalhes bibliográficos
Ano de defesa: |
2017 |
Autor(a) principal: |
Lienert, Rafaela Siviero Caron
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Orientador(a): |
Figueiredo, Carlos Eduardo Poli de
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Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Tese
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Pontifícia Universidade Católica do Rio Grande do Sul
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Programa de Pós-Graduação: |
Programa de Pós-Graduação em Medicina e Ciências da Saúde
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Departamento: |
Escola de Medicina
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País: |
Brasil
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Palavras-chave em Português: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://tede2.pucrs.br/tede2/handle/tede/7835
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Resumo: |
Background: During 24 hours of peritoneal dialysis (PD), it is estimated that 100 to 300g of the glucose are absorbed, which can generate metabolic changes and nutritional disorders. Objective: To study pathophysiological and clinical aspects related to nutritional status of PD patients. Materials and Methods: Observational study of PD patients evaluating body composition by bioimpedance (Body Composition Monitor; Fresenius Medical Care), examining peritoneal membrane characteristics, measuring biochemical parameters and using inductively coupled plasma mass spectrometer to measure serum concentrations of copper (63Cu), zinc (66Zn), selenium (78Se), chromium (52Cr) and nickel (58Ni). Results for each paper: Article 1: After 1y on PD, 50.6% had dry weight (DW) gain, 41.2% showed lean tissue mass (LTM) loss, and 65.9% presented fat mass (FM) gain and significant differences in DW, body mass index (BMI), adipose tissue mass (ATM), FM and fat tissue index (FTI) were disclosed. Patients with lower dialysate-to-plasma creatinine ratio showed FM gain. We observed a higher percentage of nonfast transporters in DW gain when comparing with no gain. Artigo 2: No differences were disclosed regarding body composition changes between PD modalities (CAPD and APD). Article 3: At baseline 29.9% of the patients were classified as having undernutrition (Lean Tissue Index (LTI) percentile <10th), 55.5% as obese (FTI percentile >90th), 7.9% as having fat tissue undernutrition (FTI percentile <10th) and 23.8% had LTI undernutrition and obesity in combination. The cumulative survival rates were 92%, 83%, 69%, 67% and 60% (12, 24, 36, 48 and 60 months, respectively). Kaplan-Meier survival and Cox regressions analysis showed that only PhA bellow 5° had an impact on mortality during the follow-up, even after adjusting for age, gender and diabetes. Artigo 4: Values below references were disclosed for Zn (5.8 ± 1.1 µmol/L) in 100%; Cu (15.7 ± 5.0 µmol/L) in 20.7%; Se (0.59 ± 0.22 µmol/L) in 75.9%. Values above references were disclosed for Cr (0.29 ± 0.08 µmol/L) in 86.3% and Ni (0.21 (0.17 – 0.26) µmol/L) in 96.6%. We observed significant positive corretations between Cu and DW (r=0.407, P=0.028), BMI (r=0.460, P=0.012) and FTI (r=0.370, P0.048). Zn was positivily correlated to albumin (r=0.527, P=0.003) and negatively correlated with OH (r=-0.394, P=0.034) and extracellular water (%ECW) (r=-0.466, P=0.014). Se had a positive correlation with serum albumin (r=0.515, P=0.005) and total cholesterol (r=0.443, P=0.021), but a negative correlation with %ECW (r=-0.404, P=0.041) and extracellular water/intracellular water (r=0.398, P0.036). Ni was negatively correlated to dry weight (r=-0.377, P0.044). Cu/Zn ratio was only correlated to BMI (r=0.376, P=0.044). Conclusions: Body composition changes over PD treatment and it does not seems to be related to the exposure of glucose or to the PD modality, however, it seems to be related to patients with slower peritoneal transports at the beginning of the treatment. Detailed analysis of body composition can generate more accurate data of nutritional status. The use of the phase angle as a marker of nutritional status is suggested and further studies are needed to better understand the association of serum microelements and body composition in this population. |