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Assessment of Nutritional Status of Nepalese Hemodialysis Patients by Anthropometric Examinations and Modified Quantitative Subjective Global Assessment.

Sedhain A, Hada R, Agrawal RK, Bhattarai GR, Baral A - Nutr Metab Insights (2015)

Bottom Line: Negative correlation of MQSGA was also found with total cholesterol, triglyceride, LDL cholesterol and HDL cholesterol without any statistical significance.Anthropometric measurements like BMI, MAC, MAMC, BSF and TSF were negatively correlated with MQSGA.Anthropometric and laboratory assessment tools could be used for nutritional assessment as they are relatively easier, cheaper and practical markers of nutritional status.

View Article: PubMed Central - PubMed

Affiliation: Department of Nephrology, National Academy of Medical Sciences (NAMS), Bir Hospital, Kathmandu, Nepal.

ABSTRACT

Objective: To assess the nutritional status of patients on maintenance hemodialysis by using modified quantitative subjective global assessment (MQSGA) and anthropometric measurements.

Method: We Conducted a cross sectional descriptive analytical study to assess the nutritional status of fifty four patients with chronic kidney disease undergoing maintenance hemodialysis by using MQSGA and different anthropometric and laboratory measurements like body mass index (BMI), mid-arm circumference (MAC), mid-arm muscle circumference (MAMC), triceps skin fold (TSF) and biceps skin fold (BSF), serum albumin, C-reactive protein (CRP) and lipid profile in a government tertiary hospital at Kathmandu, Nepal.

Results: Based on MQSGA criteria, 66.7% of the patients suffered from mild to moderate malnutrition and 33.3% were well nourished. None of the patients were severely malnourished. CRP was positive in 56.3% patients. Serum albumin, MAC and BMI were (mean + SD) 4.0 + 0.3 mg/dl, 22 + 2.6 cm and 19.6 ± 3.2 kg/m(2) respectively. MQSGA showed negative correlation with MAC (r = -0.563; P = <0.001), BMI (r = -0.448; P = <0.001), MAMC (r = -0.506; P = <.0001), TSF (r = -0.483; P = <.0002), and BSF (r = -0.508; P = <0.0001). Negative correlation of MQSGA was also found with total cholesterol, triglyceride, LDL cholesterol and HDL cholesterol without any statistical significance.

Conclusion: Mild to moderate malnutrition was found to be present in two thirds of the patients undergoing hemodialysis. Anthropometric measurements like BMI, MAC, MAMC, BSF and TSF were negatively correlated with MQSGA. Anthropometric and laboratory assessment tools could be used for nutritional assessment as they are relatively easier, cheaper and practical markers of nutritional status.

No MeSH data available.


Related in: MedlinePlus

Regression lines for MQSGA scores with respect to anthropometric measures.
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Related In: Results  -  Collection


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f1-nmi-8-2015-021: Regression lines for MQSGA scores with respect to anthropometric measures.

Mentions: The adequacy of individual anthropometric measures to predict nutritional status was compared through the regression modeling. Simple linear regression models were run for MQSGA score as dependent variable with respect to each of the five anthropometric measures (Fig. 1), and the goodness-of-fit of each model was compared. The MAC model (R2 = 0.320) had the strongest performance followed by BSF (R2 = 0.259) and MAMC (R2 = 0.256). Nearly all observation points fell within 95% prediction limits. BMI model performed the weakest among all measures in explaining the variation (R2 = 0.201). However, these R2 values are lower than the generally accepted range; these may not be as conclusive. Gender had no significant effect when included in the model, except for a weak relationship in the BMI model.


Assessment of Nutritional Status of Nepalese Hemodialysis Patients by Anthropometric Examinations and Modified Quantitative Subjective Global Assessment.

Sedhain A, Hada R, Agrawal RK, Bhattarai GR, Baral A - Nutr Metab Insights (2015)

Regression lines for MQSGA scores with respect to anthropometric measures.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4536772&req=5

f1-nmi-8-2015-021: Regression lines for MQSGA scores with respect to anthropometric measures.
Mentions: The adequacy of individual anthropometric measures to predict nutritional status was compared through the regression modeling. Simple linear regression models were run for MQSGA score as dependent variable with respect to each of the five anthropometric measures (Fig. 1), and the goodness-of-fit of each model was compared. The MAC model (R2 = 0.320) had the strongest performance followed by BSF (R2 = 0.259) and MAMC (R2 = 0.256). Nearly all observation points fell within 95% prediction limits. BMI model performed the weakest among all measures in explaining the variation (R2 = 0.201). However, these R2 values are lower than the generally accepted range; these may not be as conclusive. Gender had no significant effect when included in the model, except for a weak relationship in the BMI model.

Bottom Line: Negative correlation of MQSGA was also found with total cholesterol, triglyceride, LDL cholesterol and HDL cholesterol without any statistical significance.Anthropometric measurements like BMI, MAC, MAMC, BSF and TSF were negatively correlated with MQSGA.Anthropometric and laboratory assessment tools could be used for nutritional assessment as they are relatively easier, cheaper and practical markers of nutritional status.

View Article: PubMed Central - PubMed

Affiliation: Department of Nephrology, National Academy of Medical Sciences (NAMS), Bir Hospital, Kathmandu, Nepal.

ABSTRACT

Objective: To assess the nutritional status of patients on maintenance hemodialysis by using modified quantitative subjective global assessment (MQSGA) and anthropometric measurements.

Method: We Conducted a cross sectional descriptive analytical study to assess the nutritional status of fifty four patients with chronic kidney disease undergoing maintenance hemodialysis by using MQSGA and different anthropometric and laboratory measurements like body mass index (BMI), mid-arm circumference (MAC), mid-arm muscle circumference (MAMC), triceps skin fold (TSF) and biceps skin fold (BSF), serum albumin, C-reactive protein (CRP) and lipid profile in a government tertiary hospital at Kathmandu, Nepal.

Results: Based on MQSGA criteria, 66.7% of the patients suffered from mild to moderate malnutrition and 33.3% were well nourished. None of the patients were severely malnourished. CRP was positive in 56.3% patients. Serum albumin, MAC and BMI were (mean + SD) 4.0 + 0.3 mg/dl, 22 + 2.6 cm and 19.6 ± 3.2 kg/m(2) respectively. MQSGA showed negative correlation with MAC (r = -0.563; P = <0.001), BMI (r = -0.448; P = <0.001), MAMC (r = -0.506; P = <.0001), TSF (r = -0.483; P = <.0002), and BSF (r = -0.508; P = <0.0001). Negative correlation of MQSGA was also found with total cholesterol, triglyceride, LDL cholesterol and HDL cholesterol without any statistical significance.

Conclusion: Mild to moderate malnutrition was found to be present in two thirds of the patients undergoing hemodialysis. Anthropometric measurements like BMI, MAC, MAMC, BSF and TSF were negatively correlated with MQSGA. Anthropometric and laboratory assessment tools could be used for nutritional assessment as they are relatively easier, cheaper and practical markers of nutritional status.

No MeSH data available.


Related in: MedlinePlus