Poor agreement between indirect calorimetry and predictive formula of rest energy expenditure in pre-dialytic and dialytic chronic kidney disease

Oliveira, Mariana Cassani de; Bufarah, Marina Nogueira Berbel; Ponce, Daniela; Balbi, André Luís

doi:10.1016/j.clnesp.2018.08.014

Cited by 13 publications

(7 citation statements)

References 15 publications

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“…The scarce available evidence suggests that not even KRT is responsible for increasing energy needs in patients with KF. One observational study in CKD with KF patients found no difference in REE in the same cohort of patients before the beginning of dialysis (hemodialysis and PD) and one month after hemodialysis or PD initiation [179]; in the same way, critically ill patients with AKI undergoing KRT had similar REE measured by indirect calormetry than AKI patients not on KRT [142]. Only one observational study found a difference between REE of patients with AKI before the initiation of KRT and after five days on dialysis [180].…”

Section: What Are the Optimal Combinations Of Carbohydrate And Lipid Calories For Medical Nutrition?mentioning

confidence: 98%

Urinary magnesium predicts risk of cardiovascular disease in Chronic Kidney Disease stage 1–4 patients

et al. 2021

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Section: What Are the Optimal Combinations Of Carbohydrate And Lipid Calories For Medical Nutrition?mentioning

confidence: 98%

Urinary magnesium predicts risk of cardiovascular disease in Chronic Kidney Disease stage 1–4 patients

et al. 2021

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“…No differences were found between PD and HD patients for the others nutritional parameters (data not shown). Figure 2 shows the comparisons of energy expenditure variables presented by the patients at each evaluated moment, as showed in tables in our last study 16 . No statistically significant differences were found in REE values among the three moments measured with the IC test.…”

Section: Resultsmentioning

confidence: 99%

Longitudinal changes in nutritional parameters and resting energy expenditure in end-stage renal disease

et al. 2020

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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.

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“…The Harris and Benedict formula and the others should be re-evaluated to prevent the large sd. [ 37 ] Gender, age, weight, and height are used in the estimation of REE in Harris-Benedict formula. [ 31 ] For example, REE is 1398 kcal for two patients with same properties (male, 60 kg, 170 cm, 50 years old, Harris benedict formula=66.5 + (13.75x weight [kg]) + 5.003x height (cm)-(6.7775x age [year]36), but one patient has low serum TG level (80 mg/dL) and the other has high serum TG level (400 mg/dL).…”

Section: Discussionmentioning

confidence: 99%

Acute-Phase Stroke Outcome And Lipids

Tokgöz¹

2020

Sisli Etfal

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Objectives: The aim of the study is to investigate the relationship of lipid subgroups with short-term mortality in acute stroke (AS). Methods: This retrospective study included 698 patients with AS who presented within 24 h of symptom onset. A hemogram from peripheral venous blood samples was taken at admission. Total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), TC/HDL-C rate, and TG/HDL-C rate were recorded. Duration of follow-up was defined as 30 days. Results: 64 out of 698 patients died during the follow-up period. The mean TG, TG/HDL-C, and TC/HDL-C levels were significantly lower in the mortality group than the survival group. In the receiver operating characteristic (ROC) analysis, the cutoff values and area under the curve of the TG, TG/HDL-C, TC, and TC/HDL-C levels for short-term stroke mortality are as follows ([100.2 mg/dL, 0.648]; [2.52, 0.650]; [170.50 mg/dL, 0.598]; and [4.32, 0.640], respectively). In the Cox regression model, only TG and TG/HDL-C, according to their ROC cutoff values, were independent variables as short-term mortality predictors (TG ≤100.2 mg/dL, HR:2.413 , 95% CI: 1.345–4.327, P:0.004); (TG/HDL ≤2.56, HR: 2.720, 95% CI: 1.389–5.359, P:0.003, respectively). Conclusion: Dyslipidemia is a well-known as a risk factor of stroke. However, this study focused on the estimation that lower TG and TG/HDL-C levels at the time of hospital admission might be predictors of short-term mortality within a month of AS attack, which is a different subject from long term risk factors of stroke. Serum TG level may be a better indicator for mortality in the acute hypercatabolic trauma such as stroke.

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Poor agreement between indirect calorimetry and predictive formula of rest energy expenditure in pre-dialytic and dialytic chronic kidney disease

Cited by 13 publications

References 15 publications

Urinary magnesium predicts risk of cardiovascular disease in Chronic Kidney Disease stage 1–4 patients

Urinary magnesium predicts risk of cardiovascular disease in Chronic Kidney Disease stage 1–4 patients

Longitudinal changes in nutritional parameters and resting energy expenditure in end-stage renal disease

Acute-Phase Stroke Outcome And Lipids

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