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Rafinezhad M, Honarvar M R, Vahidinia A, Sharifi A, Amirkhanlou S. An analytical cross-sectional study of malnutrition in hemodialysis patients in Grogan, Iran, 2020. JNFS 2023; 8 (4) :639-647
URL: http://jnfs.ssu.ac.ir/article-1-573-en.html
Golestan Research Center of Gastroenterology and Hepatology (GRCGH), Faculty of Health, Golestan University of Medical Sciences (GOUMS), Gorgan, Iran
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An Analytical Cross-Sectional Study of Malnutrition in Hemodialysis Patients in Gorgan, Iran, 2020
Masoumeh Rafinezhad; BSc 1, Mohammad Reza Honarvar; PhD2, Aliasghar Vahidinia; PhD3 ,
Amrollah Sharifi; PhD*3,4
& Saeid Amirkhanlou; MD5
1 Student Research Committee, Faculty of Health, Golestan University of Medical Sciences (GOUMS), Gorgan, Iran;
2 Health Management and Social Development Research Center, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran; 3 Department of Nutrition and Food Hygiene, Nutrition Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran;
4 Golestan Research Center of Gastroenterology and Hepatology (GRCGH), Faculty of Health, Golestan University of Medical Sciences (GOUMS), Gorgan, Iran; 5 Department of Internal Medicine, Golestan University of Medical Sciences (GOUMS), Gorgan, Iran.
ARTICLE INFO ABSTRACT
ORIGINAL ARTICLE
Background: Malnutrition is relatively common in hemodialysis (HD) patients, which increases the risk of mortality. Seven Point Subjective Global Assessment (7-point SGA) tool is recommended to evaluate and monitor malnutrition in HD patients. The aim of this study was to investigate malnutrition using 7-point SGA in HD patients referred to dialysis centers in Gorgan city (north-eastern of Iran) in 2020. Methods: The nutritional status of 133 HD patients referred to Gorgan city dialysis center in 2020 were assessed using the 7-point SGA tool. Weight, percentage of fat, and muscle mass were measured by Omron BF511. Height was measured using the SECA portable stadiometer. Serum hemoglobin levels were recorded based on the latest recorded routine tests during the last month. A demographic information questionnaire was completed for all individuals. Medications and supplements taken by patients as well as visits by a nutrition consultant and adherence to a special diet were investigated by reviewing the medical file and asking the patient. Results: Out of 133 patients, 43.61% had no malnutrition and 56.39% had moderate malnutrition. The nutrition status was not different regarding gender and education level, but was different regarding household size (P=0.032). Patients with moderate malnutrition were older and had less weight and body mass index (BMI), but there was no statistically significant difference between height, dialysis time span, body fat and muscle mass percentage, and serum hemoglobin concentration. Conclusion: This study showed a considerable rate of malnutrition in HD patients, which should be regarded by clinicians and health policymakers.

Keywords: Malnutrition; Nutrition assessment; Renal dialysis; Kidney failure
Article history:
Received: 8 Feb 2022
Revised: 5 Apr 2022
Accepted: 5 Apr 2022
*Corresponding author:
a.sharifi1983@gmail.com
Golestan Research Center of Gastroenterology and Hepatology (GRCGH), Faculty of health, Golestan University of Medical Sciences (GOUMS), Gorgan, Iran.

Postal code: 6517838736
Tel: +98 08138380572
introduction
Malnutrition is a condition that results from an increase or decrease in energy, protein, and micronutrients, and ranges from underweight to overweight and nutrient deficiency. In hemodialysis (HD) patients, dietary restriction, anorexia, loss of some nutrients during HD, hormonal disorders, changes in absorption and also increased catabolism due to increased inflammatory cytokines can lead to poor nutritional status (Sahathevan et al., 2020). Increased inflammatory cytokines increase lipolysis, muscle protein breakdown, negative nitrogen balance, and ultimately malnutrition. Therefore, protein wasting is relatively common in HD patients (Fouque et al., 2008). Malnutrition reduces the quality of life, increases incidence of diseases, increases costs and length of hospital stay, and increases mortality (Sahathevan et al., 2020). The physical effects of malnutrition include decrease in body mass, decrease in respiratory muscle mass and strength, and decreased heart function (Hébuterne et al., 2001). It has also been shown that malnutrition is associated with high risk of mortality in dialysis patients (Rambod et al., 2009). Therefore, early detection of malnutrition to initiate on time nutritional support has an essential role in increasing the survival of these patients (Netherlands Cooperative Study on the Adequacy of Dialysis-2 Study, 2009).
Biochemical methods provide relatively accurate information about the nutritional status of individuals compared to clinical and anthropometric methods, but a basic challenge in the biochemical study of malnutrition in kidney patients is the validity of routine nutritional biomarkers including albumin, ferritin, etc. Given that it is affected by inflammatory conditions, it will not truly reflect the nutritional status (Spatola et al., 2019).
Subjective global assessment (SGA) is a cheap, fast, non-invasive tool and also the most common tool for nutritional assessment of various hospitalized patients (Fontes et al., 2014, Steiber et al., 2004). SGA consists of two main parts including medical history and clinical examination. By means of SGA, the patient's lost weight during the last 6 months, dietary changes during the last two weeks, gastrointestinal symptoms including nausea, vomiting, anorexia, and diarrhea (more than 2 weeks), functional capacity, metabolic stress caused by the disease (the effect of the disease on nutritional needs), subcutaneous fat (chest and triceps) and muscle mass (quadriceps and deltoid), edema (sacral and ankle) or ascites and cachexia can be assessed (Fontes et al., 2014, Steiber et al., 2004). The validity and reliability of SGA in various diseases (Steiber et al., 2004) including HD patients (Steiber et al., 2007) have been demonstrated. However, studies have shown that SGA is mainly effective in diagnosing severe cases of malnutrition (Fouque et al., 2007, Visser et al., 1999) and it is probably not accurate enough in detecting changes in nutritional status (Visser et al., 1999). For this reason, the use of a relatively similar tool called 7-Point SGA is recommended to evaluate and monitor malnutrition in patients undergoing HD (Netherlands Cooperative Study on the Adequacy of Dialysis-2 Study, 2009, Visser et al., 1999).
The 7-point SGA results are almost identical to the SGA, except that it also reveals small changes in nutrition status over a shorter period of 1 month. Its score varies from 1 to 7. A score of 1 to 2 indicates severe malnutrition, a score of 3 to 5 indicates mild to moderate malnutrition, and a score of 6 to 7 indicates well-nourished status (Lim et al., 2016). One-point decrease in 7-point SGA is associated with a quarter increase in the risk of death. 7-point SGA has a positive correlation with body mass index (BMI) and mid-arm circumference (MAC), i.e. by increasing BMI and MAC, 7-point SGA score also increases (Detsky et al., 1987, Espahbodi et al., 2014, Lim et al., 2016, Makhija and Baker, 2008).
Given the importance of malnutrition in the prognosis of patients undergoing HD and the need for timely intervention, this study was performed to investigate malnutrition using 7-point SGA in patients referred to dialysis centers in Gorgan City (northeastern of Iran) in 2020.
Materials and Methods:
Study design and participants: This was an analytical cross-sectional study in which all the patients undergoing hemodialysis referred to Gorgan city dialysis centers in 2020 were included.
Measurements: Patients' nutritional status was assessed using the 7-point SGA tool and was classified into three levels including well-nourished, mildly to moderately malnourished, and severely malnourished. SGA 7-point is similar to SGA, indicating that it consists of two parts including medical history and physical examination of the patient, except that small changes in nutritional status can be detected within a shorter period of 1 month. This questionnaire examines the patient lost weight during the last 6 months, dietary changes during the last two weeks, gastrointestinal symptoms including nausea, vomiting, anorexia, and diarrhea (more than 2 weeks), functional capacity, metabolic stress caused by the disease (the effect of the disease on nutritional needs), subcutaneous fat analysis (chest and triceps) and muscle mass (quadriceps and deltoid), edema (sacral and ankle) or ascites and cachexia. Its scores range from 1 to 7; a score of 1-2 indicates severe malnutrition, 3-5 mild to moderate malnutrition, and a score of 6-7 indicates proper nutrition (Lim et al., 2016).
Weight, percentage of fat, and muscle mass were measured within a maximum of 1 hour after the dialysis session using a portable body analyzer, Omron BF511 (Kyoto, Japan). Height was measured using the SECA portable stadiometer.
Patients' serum hemoglobin levels were recorded based on the latest recorded routine tests during the last month. In addition, a demographic information questionnaire was completed for all individuals. Medications and supplements taken by patients as well as visits by a nutrition consultant and adherence to a special diet were checked by reviewing the medical file and asking the patient.
Ethical considerations: This project was carried out following the approval of the ethics committee of Golestan University of Medical Sciences (GOUMS), ethic code: IR.GOUMS.REC.1398.315 available at:
“https://ethics.research.ac.ir/EthicsProposalView.php?id=107003”. All patients undergoing HD referred to Gorgan City Dialysis Centers in 2020 were invited to participate in the study. Informed written consent was obtained from the volunteers prior to participation in the study.
 Data analysis: Data were analyzed using STATA v.14 software at a significance level of 0.05. Independent t-test or Mann-Whitney U test for comparison of quantitative variables between groups (no severe malnourished patient was found) following Kolmogorov–Smirnov test for normality, and Chi-square test for comparison of qualitative variables between groups were used.
Results
In this analytical cross-sectional study, out of 180 patients referred to Gorgan dialysis centers, 133 (73.9%) accepted to voluntarily participate, and their nutritional status was assessed using the 7-Point SGA tool. The height and weight of all the 133 patients and the percentage of fat and muscle percentage of 83 of them were measured (the rest declined to cooperate).
Sixty-nine patients (59.1%) were women with a mean age of 55.3 ± 14.6 years and mean dialysis time span of 47.5 ± 47.4 months, and the rest 64 patients (40.1%) were men with a mean age of 57.0 ± 14.5 years, and mean dialysis time span of 29.2 ± 42.8 months (Median: 14, IQR: 32). The mean age and dialysis time span of all the patients were 56.1 ± 14.5 years and 38.6 ± 46.0 (Median: 19, IQR: 44) months, respectively.
Mean height, weight, BMI, body muscle percentage, body fat percentage, and serum hemoglobin were 164.0 ± 9.6 cm, 68.2 ± 13.1 kg, 25.4 ± 4.7 kg/m2, 33.2 ± 6.0%, 27.4 ± 10.6%, and 11.1 ± 1.4 g/dl, respectively.
Out of 133 patients, 58 (43.61%) had no malnutrition and 75 (56.39%) had mild to moderate malnutrition. None of the patients had severe malnutrition.
There was no statistically significant difference between male and female patients in terms of malnutrition (Figure 1). Patients with moderate malnutrition were older and had less weight and BMI than patients without malnutrition. However, there was no statistically significant difference between height, dialysis time span, percentage of body fat and muscle mass, and serum hemoglobin concentration (Table 1).
The rate of malnutrition was significantly
higher in patients with hypertension (HTN) (P=0.003), but there was no difference in the rate of malnutrition between patients with type 2 diabetes mellitus and other patients. In addition, there was no statistically significant difference in the rate of malnutrition between patients taking Nephrovit or Nephrotonic, injectable iron (Venofer), Sevelamer (phosphate binder), Erythropoietin (EPO), Calcium carbonate, Calcitriol, and Folic acid with patients who did not take each of these drugs and dietary supplements (Table 2).

In this study, the level of literacy and education of individuals was classified into 4 levels including illiterate, basic literacy and elementary, elementary to diploma, and university education. The highest rate of malnutrition was seen in illiterate and university education groups. However, these differences were not statistically significant (Figure 2).
There was a significant difference between patients with different household sizes in terms of malnutrition (P=0.032). The highest rate of malnutrition was in patients living alone (Figure 3). Out of 133 patients, 130 (97.7%) did not receive nutritional counseling and out of the remaining 3, only 2 patients adhered to the diet advised by a dietitian.
Table 1. Comparing mean of some variables in term of the nutritional statuse.
Variables Nutritional status N Mean SD Min Max P-valuea
Age (Year) Well nourished 58 49.8 15.1 19.0 73.0 <0.001
Moderately malnourished 75 61.0 12.0 26.0 86.0
Dialysis time span
(month)
Well nourished 58 29.5 42.5 1.0 276.0 0.1
Moderately malnourished 75 45.6 47.6 1.0 180.0
Height (cm) Well nourished 58 164.8 10.4 130.0 189.0 0.39
Moderately malnourished 75 163.4 9.0 143.0 185.0
Weight (kg) Well nourished 58 71.4 12.1 42.3 94.4 0.007
Moderately malnourished 75 65.7 13.4 41.5 99.4
Body mass index (kg/m2) Well nourished 58 26.4 4.7 17.0 38.5 0.027
Moderately malnourished 75 24.6 4.6 15.8 38.8
Body muscle (%) Well nourished 44 32.4 6.2 20.4 43.5 0.22
Moderately malnourished 39 34.0 5.7 23.4 46.9
Body fat (%) Well nourished 44 29.5 10.7 7.2 53.1 0.057
Moderately malnourished 39 25.1 10.1 5.3 48.9
Serum hemoglobin (g/dl) Well nourished 58 11.1 1.3 8.3 13.7 0.79
Moderately malnourished 75 11.1 1.6 7.4 15.3
a: Independent sample t-test
Table 2. Comparison of nutritional status in terms of disease history, and using drugs and supplements.
Variables Well nourished Moderately malnourished P-valuea
Diabetes Mellitus No 41 (30.8) 47 (35.3) 0.36
Yes 17 (12.8) 28 (21.1)
Hypertension No 36 (27.1) 27 (20.3) 0.003
Yes 22 (16.5) 48 (36.1)
Nephrovit / Nephrotonic No 20 (15.0) 27 (20.3) 0.86
Yes 38 (28.6) 48 (36.1)
Oral Iron No 51 (38.3) 75 (56.4) 0.002
Yes 7 (5.3) 0 (00.0)
Injection Iron No 10 (7.5) 18 (13.5) 0.39
Yes 48 (36.1) 57 (42.9)
Sevelamer No 47 (35.3) 63 (47.4) 0.65
Yes 11 (8.3) 12 (9.0)
Erythropoietin (EPO) No 4 (3.0) 4 (3.0) 0.72
Yes 54 (40.6) 71 (53.4)
Folic acid No 15 (11.3) 18 (13.5) 0.84
Yes 43 (32.3) 57 (42.9)
B-complex No 0 (00.0) 0 (00.0) ...
Yes 58 (43.6) 75 (56.4)
Calcium carbonate
No 14 (10.5) 14 (10.5) 0.44
Yes 44 (33.1) 61 (45.9)
Calcitriol
No 28 (21.1) 46 (34.6) 0.13
Yes 30 (22.5) 29 (21.8)
a: Chi-square test
Discussion
In this study, 56.39% of the studied patients had mild to moderate malnutrition. None of the patients had severe malnutrition. In the study of Amirkhanloo S, in which 116 HD patients (64 males and 52 females) in Gorgan City were evaluated using the SGA tool, 29.66% of patients had normal nutritional status, 69.82% moderate malnutrition, and 0.9% severe malnutrition (Amirkhanloo et al., 2016). Due to the similarity of the target population between this study and the study by Amirkhanloo S et al., it can be interpreted that malnutrition in HD patients in Gorgan City had a decreasing trend from 2013 to 2020. It might be due to an improvement in the quantitative and qualitative condition of dialysis equipment and consequently the increase in the number of dialysis sessions per patient. Interventional studies have shown that by increasing the number of dialysis sessions per week, the amount of energy intake increases and anthropometric and laboratory indices improve (Rashidi et al., 2009).
A study on 291 HD patients in Tehran city using SGA showed that 60.5% were mild to moderately malnourished and 1% were severely malnourished (As'habi et al., 2010), which is consistent with the results of the present study. High prevalence of malnutrition has been reported in other studies (Essadik et al., 2017, Pourghaderi et al., 2015, Rezeq et al., 2018, Tayyem et al., 2008).
Malnutrition in dialysis patients is associated with changes in body composition, and such changes are mainly associated with a decrease in the level of lean body mass (LBM), which is associated with an increase in mortality (Zhang et al., 2019). However, in the current study, there was no statistically significant difference between patients with varying degrees of malnutrition in terms of body composition levels.
There were also no differences between patients with different degrees of malnutrition in terms of dialysis time span, serum hemoglobin, underlying disease (except for HTN), literacy level, and prescribed medications and supplements. Patients with moderate malnutrition were significantly older than patients without malnutrition and had lower body weight and BMI. In addition, patients' nutritional status was affected by household size, which indicates that living alone is a predictor for malnutrition in HD patients. Inability to prepare food, psychological problems, higher age, and probably low income might be the reasons for the higher rate of malnutrition in patients who live alone (Ekramzadeh et al., 2014, Mikami et al., 2022).
Nutrition in kidney disease is one of the most important topics in nutrition science references . The role of nutrition counseling in improving the nutritional indicators of end-stage renal disease patients has been emphasized in various studies (Clark-Cutaia et al., 2014, Ghani et al., 2017, Jo et al., 2017, Luis et al., 2016, Raza et al., 2004, Sakai et al., 2017). Nevertheless, only 3 patients in this study had received nutritional counseling.
Anorexia, metabolic acidosis, depression, chronic inflammation, insufficient dialysis efficacy, poor nutritional knowledge, lack of dietary counseling by dietitian, socioeconomic and behavioral barriers, and inadequate dietary intake starting from dialysis days are proposed as main causes of malnutrition in dialysis patients (Bergström, 1996, Beyaz et al., 2021, Ekramzadeh et al., 2014, Gebrie and Ford, 2019, Sahathevan et al., 2020, Sharma and Sahu, 2001).
Regular visits by experienced dietitian, early start of a dialysis specific diet, socioeconomic support, psychological counseling, appetite stimulant and anti-inflammatory drugs, and adequate dialysis duration and sessions, and intradialytic parenteral nutrition are suggested for prevention and treatment of malnutrition in dialysis patients (Bossola et al., 2005, Bossola et al., 2009, Chazot, 2004, Ekramzadeh et al., 2014, Vijaya et al., 2019). Limitations of this study included lack of biochemical and dietary intake evaluation, low participation rate, and lack of cooperation of some patients in evaluating body composition.
Conclusion
Malnutrition is still common among HD patients in Gorgan city especially among those on longer dialysis duration, as well as alone and older patients. Most of them had mild to moderate malnutrition, and severe malnutrition was not observed. Only three patients were visited by dietitian, of whom only one was adhered to the prescribed diet. It is recommended that HD patients should be screened regularly for malnutrition by an experienced dietitian before starting the dialysis.
Acknowledgement
Many thanks to the physicians and personnel of dialysis centers in Gorgan, and the hemodialysis patients who participated in this study.
Conflict of interest
None.
Funding
This work was supported by Golestan University of Medical Sciences and Health Services (grant No. 29-111348).
Authors’ contributions
Rafinezhad R, Vahidinia A, Honarvar MR and  Amirkhanlou s involved in designing of the study; acquisition of the data; revision of the manuscript. Sharifi A participated to Literature search; the conception and design of the study; carry out the study, acquisition, statistical analysis, and interpretation of the data; drafting the manuscript. All authors approved the final version of the manuscript for publishing the work and agreement to be accountable for all aspects of the work.
References
Amirkhanloo S, Maghsoudloonejad R & Eshghinia S 2016. Nutritional status of hemodialysis patients using subjective global assessment (SGA)  Journal of Gorgan University of medical sciences. 17 (4): 85-90.
As'habi A, et al. 2010. Prevalence of protein-energy malnutrition and its various types in hemodialysis patients in Tehran, 2008. Iranian journal of nutrition sciences & food technology. 5 (1): 17-28.
Bergström J 1996. Anorexia in dialysis patients. Seminars in nephrology. 16 (3): 222-229.
Beyaz EK, Kasımoğlu B, Kızıltan G & Ikäheimo R 2021. Nutritional Knowledge of Hemodialysis Patients in University Hospitals in Finland and Turkey. World Nutrition. 12 (3): 34-43.
Bossola M, et al. 2005. Malnutrition in hemodialysis patients: what therapy? American journal of kidney diseases. 46 (3): 371-386.
Bossola M, et al. 2009. Malnutrition in patients on chronic hemodialysis: prevalence, pathogenesis, and treatment. organo ufficiale della Societa italiana di nefrologia. 26 (2): 201-214.
Chazot C 2004. Nutrition and dialysis: how to keep adequate nutrition in dialysis? Revue Médicale Suisse. 124 (11): 681-688.
Clark-Cutaia MN, Ren D, Hoffman LA, Burke LE & Sevick MA 2014. Adherence to hemodialysis dietary sodium recommendations: influence of patient characteristics, self-efficacy, and perceived barriers. Journal of renal nutrition. 24 (2): 92-99.
Detsky AS, et al. 1987. What is subjective global assessment of nutritional status? Journal of parenteral enteral nutrition. 11 (1): 8-13.
Ekramzadeh M, Mazloom Z, Jafari P, Ayatollahi M & Sagheb MM 2014. Major barriers responsible for malnutrition in hemodialysis patients: challenges to optimal nutrition. Nephrourol Mon. 6 (6): e23158-e23158.
Espahbodi F, Khoddad T & Esmaeili L 2014. Evaluation of malnutrition and its association with biochemical parameters in patients with end stage renal disease undergoing hemodialysis using subjective global assessment. Nephrourol Mon. 6 (3).
Essadik R, et al. 2017. Assessing the prevalence of protein-energy wasting in haemodialysis patients: a cross-sectional monocentric study. Nephrologie therapeutique. 13 (7): 537-543.
Fontes D, de Vasconcelos Generoso S & Correia MITD 2014. Subjective global assessment: a reliable nutritional assessment tool to predict outcomes in critically ill patients. Clinical nutrition. 33 (2): 291-295.
Fouque D, et al. 2008. A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney international. 73 (4): 391-398.
Fouque D, et al. 2007. EBPG guideline on nutrition. Nephrology dialysis transplantation. 22 Suppl 2: ii45-87.
Gebrie MH & Ford J 2019. Depressive symptoms and dietary non-adherence among end stage renal disease patients undergoing hemodialysis therapy: systematic review. BMC Nephrol. 20 (1): 429-429.
Ghani H, Manzoor M, Samiullah M & Kaur R 2017. Effect of dietary counselling on the nutritional status of end-stage renal disease patients. Journal of the Pakistan medical association. 67: 1327-1330.
Hébuterne X, Bermon S, Schneider SM & care m 2001. Ageing and muscle: the effects of malnutrition, re-nutrition, and physical exercise. Current opinion in clinical nutrition. 4 (4): 295-300.
Jo I-Y, et al. 2017. Effect of personalized nutritional counseling on the nutritional status of hemodialysis patients. Clinical nutrition research. 6 (4): 285-295.
Lim SL, Lin XH & Daniels L 2016. Seven‐Point Subjective Global Assessment Is More Time Sensitive Than Conventional Subjective Global Assessment in Detecting Nutrition Changes. Journal of parenteral enteral nutrition. 40 (7): 966-972.
Luis D, et al. 2016. Dietary quality and adherence to dietary recommendations in patients undergoing hemodialysis. Journal of renal nutrition. 26 (3): 190-195.
Makhija S & Baker J 2008. The Subjective Global Assessment: a review of its use in clinical practice. Nutrition in clinical practice. 23 (4): 405-409.
Mikami Y, et al. 2022. Relationship between Eating Alone and Poor Appetite Using the Simplified Nutritional Appetite Questionnaire. Nutrients. 14 (2): 337.
Netherlands Cooperative Study on the Adequacy of Dialysis-2 Study G 2009. Subjective global assessment of nutritional status is strongly associated with mortality in chronic dialysis patients. American journal of clinical nutrition. 89 (3): 787-793.
Pourghaderi M, et al. 2015. Nutritional Indicators and Some Related Factors in Hemodialysis Patients Referred to Hospitals Covered by Alborz University of Medical Science, Summer 91  Alborz University medical journal. 4 (1): 1-10.
Rambod M, et al. 2009. Association of Malnutrition-Inflammation Score with quality of life and mortality in hemodialysis patients: a 5-year prospective cohort study. American journal of kidney diseases. 53 (2): 298-309.
Rashidi A, Soleimani A & Seyedi F 2009. Effects of dialysis frequency on the nutritional status of hemodialysis patients. Koomesh. 10 (3): 197-200.
Raza H, et al. 2004. The Effect of Active Nutritional Counseling in Improving Biochemical Nutritional Parameters and Fluid Overload Problems in Maintenance Hemodialysis Patients. Saudi journal of kidney diseases and transplantation. 15 (2): 140-143.
Rezeq HA, Khdair LN, Hamdan ZI & Sweileh WMJ 2018. Prevalence of malnutrition in hemodialysis patients: A single-center study in Palestine. Saudi journal of kidney diseases transplantation. 29 (2): 332.
Sahathevan S, et al. 2020. Understanding Development of Malnutrition in Hemodialysis Patients: A Narrative Review. Nutrients. 12 (10): 3147.
Sakai A, et al. 2017. Nutritional counseling regulates interdialytic weight gain and blood pressure in outpatients receiving maintenance hemodialysis. Journal of Medical Investigation. 64 (1.2): 129-135.
Sharma RK & Sahu KM 2001. Nutrition in dialysis patients. Journal of Indian medical association. 99 (4): 206-208, 210-201, 213.
Spatola L, Finazzi S, Santostasi S, Angelini C & Badalamenti S 2019. Geriatric nutritional risk index is predictive of subjective global assessment and dialysis malnutrition scores in elderly patients on hemodialysis. Journal of renal nutrition. 29 (5): 438-443.
Steiber A, et al. 2007. Multicenter study of the validity and reliability of subjective global assessment in the hemodialysis population. Journal of renal nutrition. 17 (5): 336-342.
Steiber AL, et al. 2004. Subjective Global Assessment in chronic kidney disease: a review. Journal of renal nutrition. 14 (4): 191-200.
Tayyem RF, Mrayyan MT, Heath DD & Bawadi HA 2008. Assessment of nutritional status among ESRD patients in Jordanian hospitals. Journal of renal nutrition. 18 (3): 281-287.
Vijaya KL, Aruna M, Narayana Rao SVL & Mohan PR 2019. Dietary Counseling by Renal Dietician Improves the Nutritional Status of Hemodialysis Patients. Indian J Nephrol. 29 (3): 179-185.
Visser R, Dekker FW, Boeschoten EW, Stevens P & Krediet RT 1999. Reliability of the 7-point subjective global assessment scale in assessing nutritional status of dialysis patients. Advances in peritoneal dialysis. 15: 222-225.
Zhang H, Tao X, Shi L, Jiang N & Yang Y 2019. Evaluation of body composition monitoring for assessment of nutritional status in hemodialysis patients. Renal failure. 41 (1): 377-383.


 
Type of article: orginal article | Subject: public specific
Received: 2022/02/8 | Published: 2023/11/20 | ePublished: 2023/11/20

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