Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Zhonghua Yi Xue Za Zhi ; 102(12): 864-869, 2022 Mar 29.
Artigo em Chinês | MEDLINE | ID: mdl-35330580

RESUMO

Objective: To investigate the interactive effect of hypoparathyroidism (HPTH) and type 2 diabetes mellitus (T2DM) on peritonitis in patients on peritoneal dialysis (PD). Methods: In this retrospective cohort study, all PD patients who were firstly catheterized in the peritoneal dialysis center of Guizhou Provincial People's Hospital from January 1, 2012 to December 31, 2018 were included. The characteristics of demographics, baseline clinical and laboratory data were collected, and patients were followed up until December 31, 2020. Kaplan-Meier survival curve and Cox regression analysis were used to explore the associations between the interaction of HPTH+T2DM and peritonitis. Results: A total of 270 PD patients were enrolled in this study, aged (39.9±13.2) years, including 143 males and 24 T2DM patients. These serum levels of intact parathyroid hormone (iPTH) [M(Q1, Q3)] was 268.1 (121.7, 447.0)pg/ml. After a median follow-up of 29.5 (range from 4.0 to 75.0) months, peritonitis occurred in 69 (25.6%) PD patients for the first time. After controlling for confounding factors, the interaction analysis showed that the risk of peritonitis in T2DM patients with HPTH (n=12) was 3.48 times that of non-T2DM patients without HPTH (n=180) (HR=3.48, 95%CI: 1.04-3.87, P=0.034), which was also greater than the sum of the factors alone (HR=1.35, 95%CI: 0.78-2.31 and HR=0.82, 95%CI: 0.20-3.40). The synergy index between HPTH and T2DM was 1.95, the attributable proportion of interaction was 67.6%, and the relative excess risk of interaction was 2.35. The receiver operating characteristic (ROC) curve indicated that the area under the curve of combined diagnosis of HPTH and T2DM was 0.626 (95%CI: 0.550-0.703, P=0.039). Conclusion: The positive interaction between HPTH and T2DM is an independent risk factor for peritonitis in PD patients, both of which can significantly increase the risk of peritonitis.


Assuntos
Diabetes Mellitus Tipo 2 , Hipoparatireoidismo , Diálise Peritoneal , Peritonite , Adulto , Diabetes Mellitus Tipo 2/complicações , Humanos , Masculino , Pessoa de Meia-Idade , Diálise Peritoneal/efeitos adversos , Peritonite/etiologia , Estudos Retrospectivos , Fatores de Risco
2.
Zhonghua Yi Xue Za Zhi ; 99(20): 1567-1571, 2019 May 28.
Artigo em Chinês | MEDLINE | ID: mdl-31154724

RESUMO

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.


Assuntos
Falência Renal Crônica , Desnutrição Proteico-Calórica , Diálise Renal , Composição Corporal , Índice de Massa Corporal , Estudos Transversais , Humanos , Estado Nutricional
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA