scholarly journals Evaluation of nutritional status with anthropometric measurements and MQSGA in geriatric hemodialysis patients

Author(s):  
Irem Pembegul Yigit
Cureus ◽  
2021 ◽  
Author(s):  
Sajid Sultan ◽  
Kiran Nasir ◽  
Ruqaya Qureshi ◽  
Murtaza Dhrolia ◽  
Aasim Ahmad

2004 ◽  
Vol 57 (9-10) ◽  
pp. 439-444 ◽  
Author(s):  
Biserka Tirmenstajn-Jankovic ◽  
Nada Dimkovic

Introduction Protein-energy malnutrition is common in chronic hemodialysis patients and is strongly associated with increased morbidity and mortality. While determination of the nutritional status is often based on objective measurements such as biochemical parameters and anthropometric measurements, there is no single measurement that can reliably identify risk for malnutrition. Material and methods A subjective global assessment (SGA) was performed to evaluate the nutritional status in 43 chronic dialysis patients (27 men and 16 women). Anthropometric measurements including body weight (BW), body mass index (BMI), skin-fold thickness (triceps-TS, biceps-BS, subscapular-SSS, suprailiac-SIS), mid-arm circumference (MAC); mid-arm muscle circumference (MAMC); body fat percentage (%BF); total body fat (TBF); lean body mass (LBM) and laboratory parameters (total proteins, albumins, transferrin, hemoglobin, lymphocytes. Results According to SGA, patients were divided into three groups: first group of 23 pts with a normal nutritional status, second group of 11 pts with mild malnutrition and third group of 9 pts with moderate or severe malnutrition. In examined groups there was a significant decrease in total protein (p = 0.02), serum albumin (p = 0.000) and hemoglobin (p = 0.04) levels with an increase in SGA scores (oneway ANOVA). In the same way, SGA was correlated with the number of anthropometric parameters (BW, BMI, TS, SSS, SIS, MAC, MAMC, % BF, TBF, LBM). Conclusion Our data confirmed a high prevalence of malnutrition in hemodialysis patients and showed that SGA closely correlated with more objective measures. Being an inexpensive method of well-proven realibility, SGA can be recommended for a more frequent assessment of nutritional status in dialysis patients.


2018 ◽  
Vol 1 (1) ◽  
pp. 12-16 ◽  
Author(s):  
Ruju Khadka ◽  
Nabin Bahadur Basnet ◽  
Rishi Kumar Kafle

Introduction: Malnutrition is common among patients on chronic hemodialysis and is a risk factor. Nutritional assessment ensures early recognition and appropriate intervention. Dietary interview, physical and anthropometric measurements, biochemical assessment, bio-impedance, and structured assessment tools like subjective global assessment are modalities for identifying and monitoring of nutritional assessment of hemodialysis patients. This study was conducted to assess the nutritional status of hemodialysis patients and identify various factors related to malnutrition.Materials and Methods: A cross-sectional study of 72 chronic hemodialysis patients at a hemodialysis unit in Lalitpur was done. Detailed dietary and personal interview, anthropometric measurements, biochemical assessment, and subjective global assessment were used to collect the data to determine the prevalence of malnutrition among the hemodialysis patients as well as identify various factors related.Results: Malnutrition was prevalent among the respondents. The respondents were mostly male with average age of 50.2 1.9 years and majority being on hemodialysis for more than two years. Though severe malnutrition was absent among the hemodialysis patients assessed, mild to moderate malnutrition was seen in 52.78%. Most of these patients were female and were of older age group. Patients who had malnutrition had experienced a significant weight loss in previous six months. Anthropometric profile, dietary habits, and biochemical profile did not correlate with occurrence of malnutrition in hemodialysis patients.Conclusions: Malnutrition is fairly prevalent in chronic hemodialysis patients which can be identified by subjective global assessment. Elderly patients and patients who are losing weight are risk factors for mild to moderate malnutrition.Nepalese Medical Journal, vol.1, No. 1, 2018, Page: 12-16


2005 ◽  
Vol 15 (2) ◽  
pp. 225-230 ◽  
Author(s):  
Vincenzo Savica ◽  
Domenico Santoro ◽  
Giampiero Mazzaglia ◽  
Franco Ciolino ◽  
Paolo Monardo ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1870
Author(s):  
Ming-Tsun Tsai ◽  
Wei-Cheng Tseng ◽  
Shuo-Ming Ou ◽  
Kuo-Hua Lee ◽  
Chih-Yu Yang ◽  
...  

Protein-energy wasting (PEW) is associated with adverse outcomes in hemodialysis patients. This study compares the simplified creatinine index (SCI) and circulating inflammatory markers as nutritional screening tools for hemodialysis patients. Maintenance hemodialysis patients (230 total patients, 34.8% women, 64.0 ± 14.3 years old) from a tertiary medical center were assessed for demographic data, body composition analysis, biochemistry tests, and circulating inflammatory biomarkers. The SCI was calculated using Canaud’s formula. Reduced fat-free mass index (FFMI), a surrogate of lean body mass, was identified according to the European Society for Clinical Nutrition and Metabolism guidelines. Nutritional status was assessed by the geriatric nutritional risk index (GNRI) and International Society of Renal Nutrition and Metabolism (ISRNM) criteria. Multivariate logistic regression revealed independent risk factors for low FFMI and malnutrition. Of the patients, 47.4% had low FFMI. Patients with a reduction in FFMI tended to be older females with lower body mass index, SCI, and GNRI scores but significantly higher levels of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and IL-8. SCI was found to be an independent predictor for reduced FFMI (OR 0.57, 95% CI 0.40–0.81) and presence of PEW according to ISRNM criteria (OR 0.38, 95% CI 0.21–0.68). Although a positive association between systemic inflammatory markers and low FFMI was observed, this association disappeared in multivariate analysis. Moreover, the inflammatory markers examined in this study were not associated with malnutrition after adjusting for potential confounders. Compared with markers of systemic inflammation, SCI achieved better performance in assessing the nutritional status of hemodialysis patients.


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