scholarly journals Evaluation of handgrip strength as a nutritional marker and prognostic indicator in peritoneal dialysis patients

2005 ◽  
Vol 81 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Angela Yee-Moon Wang ◽  
Mandy Man-Mei Sea ◽  
Zoe So-Ying Ho ◽  
Siu-Fai Lui ◽  
Philip Kam-Tao Li ◽  
...  
2010 ◽  
Vol 25 (10) ◽  
pp. 3372-3379 ◽  
Author(s):  
A. Y.-M. Wang ◽  
J. E. Sanderson ◽  
M. M.-M. Sea ◽  
M. Wang ◽  
C. W.-K. Lam ◽  
...  

2020 ◽  
Vol 40 ◽  
pp. 649-650
Author(s):  
M.Z.C. Silva ◽  
M.F. Minicucci ◽  
F.C. Minicucci ◽  
M.S. Dorna ◽  
B.P. Vogt ◽  
...  

2020 ◽  
Vol 42 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Mariana Cassani Oliveira ◽  
Marina Nogueira Berbel Bufarah ◽  
Daniela Ponce ◽  
André Balbi

Abstract Aims: To evaluate the nutritional status, resting energy expenditure, caloric and protein intake, and evolution of biochemical parameters in three stages of chronic kidney disease: pre-dialytic, at the beginning of the dialysis treatment, and 30 days after starting treatment. Methods: The chi-square and Student’s t tests were used to compare the variables, and analysis of repeated measurements was used to compare the data obtained in the three moments evaluated. The results were discussed at the 5% level of significance. Results: We evaluated 35 patients, 60% female and 60% with diabetes mellitus. There was a decrease in midarm circumference and serum albumin. Inflammatory state and caloric and protein intake increased. There was no significant difference in resting energy expenditure in the three moments. The serum urea and serum albumin, handgrip strength, and protein consumption after 30 days from the start of dialysis were greater in the peritoneal dialysis patients, when compared to the hemodialysis population. Conclusion: there was a decrease in midarm circumference and serum albumin and an increase in protein intake after dialysis. The peritoneal dialysis patients had higher muscle strength, even with lower protein intake. Resting energy expenditure was not different between dialysis methods and the moments evaluated.


Author(s):  
Maryanne Zilli Canedo Silva ◽  
Barbara Perez Vogt ◽  
Nayrana Soares Carmo Reis ◽  
Rogerio Carvalho Oliveira ◽  
Jacqueline Costa Teixeira Caramori

Author(s):  
Firas Ajam ◽  
Arda Akoluk ◽  
Anas Alrefaee ◽  
Natasha Campbell ◽  
Avais Masud ◽  
...  

ABSTRACT Background: The electrocardiogram (ECG) can aid in identification of chronic kidney disease (CKD) patients at high risk for cardiovascular diseases. Cohort studies describe ECG abnormalities in patients on hemodialysis (HD), but we did not find data comparing ECG abnormalities among patients with normal kidney function or peritoneal dialysis (PD) to those on hemodialysis. We hypothesized that ECG conduction abnormalities would be more common, and cardiac conduction interval times longer, among patients on hemodialysis vs. those on peritoneal dialysis and CKD 1 or 2. Methods: Retrospective review of adult inpatients’ charts, comparing those with billing codes for “Hemodialysis” vs. inpatients without those charges, and an outpatient peritoneal dialysis cohort. Patients with CKD 3 or 4 were excluded. Results: One hundred and sixty-seven charts were reviewed. ECG conduction intervals were consistently and statistically longer among hemodialysis patients (n=88) vs. peritoneal dialysis (n=22) and CKD stage 1 and 2 (n=57): PR (175±35 vs 160±44 vs 157±22 msec) (p=0.009), QRS (115±32 vs. 111±31 vs 91±18 msec) (p=0.001), QT (411±71 vs. 403±46 vs 374±55 msec) (p=0.006), QTc (487±49 vs. 464±38 vs 452±52 msec) (p=0.0001). The only significantly different conduction abnormality was prevalence of left bundle branch block: 13.6% among HD patients, 5% in PD, and 2% in CKD 1 and 2 (p=0.03). Conclusion: To our knowledge, this is the first study to report that ECG conduction intervals are significantly longer as one progresses from CKD Stage 1 and 2, to PD, to HD. These and other data support the need for future research to utilize ECG conduction times to identify dialysis patients who could potentially benefit from proactive cardiac evaluations and risk reduction.


Author(s):  
Albatool Almousa ◽  
Fai Almarshud ◽  
Razan Almasuood ◽  
Marya Alyahya ◽  
Chandra Kalevaru ◽  
...  

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