Nutritional status evaluation and survival in haemodialysis patients in one centre from Romania

Segall, Liviu; Mardare, Nicoleta-Genoveva; Ungureanu, Sorin; Busuioc, Mihaela; Nistor, Ionuţ; Enache, Roxana; Marian, Simona; Covic, Adrian

doi:10.1093/ndt/gfp110

Cited by 78 publications

(78 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With regard to dialysis, annual mortality is estimated at 10-15% in the absence of malnutrition while this rate rises to 30% among malnourished patients [7]. It is very important to assess the nutritional status of patients on dialysis, in view of preventing protein-energy malnutrition and provide adequate treatment to malnourished patients [8,9].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Nutritional Status of Hemodialysis Patients in a Sub-Saharan Country

Bl¹,

Vd²,

Vigan³

et al. 2017

J Kidney

View full text Add to dashboard Cite

Objective: Identifying which of the three scores (MNA, SGA and ISRNM) would better assess the nutritional status of chronic hemodialysis patients in BeninPatients and Methods: We conducted a cross-sectional, descriptive and analytical study. It was carried out over a three-month period, from 1 st July to 31 st September 2015. The study participants included patients who have been on hemodialysis for at least the past 6 months, non-admitted in the past 4 weeks and having given their consent to participate in the study. All patients were subject to anthropometric parameters and checkups in order to apply the three nutritional scores: Mini Nutritional Assessment (MNA); Suggestive Global Assessment (SGA); International Society of Renal Nutrition and Metabolism (ISRNM criteria). Statistical analysis was performed through EpiData Ver 3.1.Outcomes: 149 patients were selected including 38.93% of women and 61.07% of men. Age ranged from 19 to 79 years with 48 ± 12.88 as mean age. The prevalence of overall malnutrition was respectively 42.75%; 36.24% and 14.09% based on MNA, SGA and ISRNM scores. There was poor protein intake in 85.19% of cases, body mass index (BMI) was below 23 kg/m ² in 68.46% of cases, hypoalbuminemia and pre-dialysis hypocreatininemia were recorded in respectively 29.53% and 52.38% of cases. Conclusion:SGA score seems to be a more objective score as it uses both history and clinical data. BMI and protein intake when considered distinctly, have a better predictive value of our patients nutritional status.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing the Nutritional Status of Hemodialysis Patients in a Sub-Saharan Country

Bl¹,

Vd²,

Vigan³

et al. 2017

J Kidney

View full text Add to dashboard Cite

show abstract

“…Although an abnormal nutritional status is frequently reported in MHD patients, there is no single nutrition parameter that can predict PEW [15][16][17]. We hope to take advantage of a simple nutritional marker to make recommendations and improve the outcomes of MHD patients.…”

Section: Discussionmentioning

confidence: 99%

A simple protein-energy wasting score for survival prediction of maintenance hemodialysis patients

Kobayashi¹,

Suzuki²,

Ueda³

et al. 2015

Ren Replace Ther

View full text Add to dashboard Cite

Background: The nutritional status of patients on maintenance hemodialysis (MHD) is a strong predictor of their survival. We assessed the reliability of a protein-energy wasting (PEW) score as a predictor of the survival of Japanese MHD patients. Methods: The study subjects were 254 MHD patients. PEW score was from 0 (worst; group 1) to 4 (best; group 4) and was derived from four body nutrition compartments: serum albumin, body mass index, a normalized serum creatinine value, and protein intake. The main outcome was all-cause mortality. Results: A total of 26 patients died during the follow-up period of 36 months. The Kaplan-Meier analysis revealed that the group whose score was 0-1 had a significant lower survival rate than the groups with higher (2-4) PEW scores (P < 0.0001). In multivariate analysis, hazard ratios (HRs) were 0.214 (confidence interval (CI) 0.068-0.610, P < 0.005) between group 1 and group 4, 0.176 (0.054-0.510, P < 0.005) between group 2 and group 4, and 0.249 (CI 0.054-0.857) between group 3 and group 4. Conclusions: A new simple PEW score predicts the survival of MHD patients and may help to better identify subgroups of MHD patients with a high mortality rate.

show abstract

“…Furthermore, BMI and weight loss rate may not be linked to clinical improvement of health-related outcomes, in comparison to different body composition measures by simple and non-invasive methods, which demonstrated a strong relationship between mortality, body lean mass and adipose tissue [17][18][19][20][21][22][23][24] . In conclusion beyond the BMI, there are overwhelming evidences towards a more detailed description of the individual phenotype by characterizing the main body components as free-fat mass (FFM), muscle mass (MM), and fat mass (FM).…”

Section: Introductionmentioning

confidence: 99%

Measurement of body composition as a surrogate evaluation of energy balance in obese patients

Rotella

Dicembrini

2015

WJM

View full text Add to dashboard Cite

In clinical practice obesity is primarily diagnosed through the body mass index. In order to characterize patients affected by obesity the use of traditional anthropometric measures appears misleading. Beyond the body mass index, there are overwhelming evidences towards the relevance of a more detailed description of the individual phenotype by characterizing the main body components as free-fat mass, muscle mass, and fat mass. Among the numerous techniques actually available, bioelectrical impedance analysis seems to be the most suitable in a clinical setting because it is simple, inexpensive, noninvasive, and highly reproducible. To date, there is no consensus concerning the use of one preferred equation for the resting energy expenditure in overweight and/or obese population. Energy restriction alone is an effective strategy to achieve an early and significant weight loss, however it results in a reduction of both fat and lean mass therefore promoting or aggravating an unfavourable body composition (as sarcobesity) in terms of mortality and comorbidities. Therefore the implementation of daily levels of physical activity should be simultaneously promoted. The major role of muscle mass in the energy balance has been recently established by the rising prevalence of the combination of two condition as sarcopenia and obesity. Physical exercise stimulates energy expenditure, thereby directly improving energy balance, and also promotes adaptations such as fiber type, mitochondrial biogenesis, improvement of insulin resistance, and release of myokines, which may influence different tissues, including muscle. Core tip: There are overwhelming evidences towards the relevance of a more detailed description of the individual phenotype by characterizing the main body components as free-fat mass, muscle mass, and fat mass. Among the numerous techniques actually available, bioelectrical impedance analysis seems to be the most suitable in a clinical setting because it is simple, inexpensive, noninvasive, and highly reproducible. To date, there is no consensus concerning the use of one preferred equation for the resting energy expenditure in overweight and/or obese population. REVIEW

show abstract

Nutritional status evaluation and survival in haemodialysis patients in one centre from Romania

Cited by 78 publications

References 27 publications

Assessing the Nutritional Status of Hemodialysis Patients in a Sub-Saharan Country

Assessing the Nutritional Status of Hemodialysis Patients in a Sub-Saharan Country

A simple protein-energy wasting score for survival prediction of maintenance hemodialysis patients

Measurement of body composition as a surrogate evaluation of energy balance in obese patients

Contact Info

Product

Resources

About