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[Influencing factors of protein energy wasting in maintenance hemodialysis patients].
Li, Q; Deng, K H; Long, Y J; Lin, X; Qie, S W; Zhou, C M; Yang, X; Zha, Y.
Afiliação
  • Li Q; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
  • Deng KH; Department of Nephrology, the Second Affiliated Hospital of Guizhou Medical University, Kaili 556000, Guizhou, China.
  • Long YJ; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
  • Lin X; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
  • Qie SW; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
  • Zhou CM; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
  • Yang X; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
  • Zha Y; Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China.
Zhonghua Yi Xue Za Zhi ; 99(20): 1567-1571, 2019 May 28.
Article em Zh | MEDLINE | ID: mdl-31154724
Objective: To analyze the influencing factors of protein energy wasting (PEW) in maintenance hemodialysis (MHD) patients. Methods: A multicenter cross-sectional study was conducted in eleven hemodialysis centers of Guizhou province between June and August 2018. Clinical data, physical parameters, body composition data and laboratory values of MHD patients were collected. Analysis of variance was used to assess the impact of the indicators on the prevalence of PEW. Factor analysis was carried out after further classifing the factors into several common factors, and logistic regression was used to analyze the impact of common factors on PEW. Results: The results of univariate analysis showed that somatic cell mass, lean weight, fat content, body mass index (BMI), grip strength, leg circumference, hip circumference, waist circumference, midpoint circumference of upper arm, triceps skin fold thickness, hemoglobin, albumin, prealbumin, serum calcium, phosphorus, serum magnesium, creatinine, parathyroid hormone were the influential factors of PEW (all P<0.05). Factor analysis indicated that the above indicators can be classified into five common factors. Logistic regression model showed that with the increase of the prevalence of PEW, the scores of common factors decreased, the absolute value of regression coefficient beta in sequence, was common factor 2 (ß=-2.258, P<0.001), common factor 4 (ß=-1.589, P<0.001), common factor 1 (ß=-1.144, P=0.001) and common factor 3 (ß=-0.740, P=0.016). Conclusion: The reduction of fat content, anemia, hypoproteinemia, disorder of calcium and phosphorus metabolism were important factors influencing PEW.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Diálise Renal / Desnutrição Proteico-Calórica / Falência Renal Crônica Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Diálise Renal / Desnutrição Proteico-Calórica / Falência Renal Crônica Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China