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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

Comparison of area under ROC curve for all five anthropometric measures.
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Related In: Results  -  Collection


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f2-nmi-8-2015-021: Comparison of area under ROC curve for all five anthropometric measures.

Mentions: Each anthropometric measure was converted into binary categories and used in the classification table with MQSGA categories. The strength of individual model in correctly identifying true positive or true negative cases in a classification matrix is measured by the lift on the ROC curve from a logistic regression model. ROC curve is plotted as sensitivity against the 1-specificity (Fig. 2). Sensitivity indicates the relative strength of the model in accurately predicting positive cases as positive, and specificity refers to the relative strength in predictive negative cases as negative. The values of area under ROC curve indicate how best the model can discriminate those true positive and true negative cases. A value of 1.0 indicates perfect discrimination while a value of 0.5 indicates random outcomes.16 Using this criteria, MAC was again the best performing in terms of prediction accuracy (AUC = 0.8773). Both MAMC (AUC = 0.8596) and BMI (AUC = 0.8519) performed very well. BSF (AUC = 0.7948) and TSF (AUC = 0.7855) had slightly lower but satisfactory lift.


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)

Comparison of area under ROC curve for all five anthropometric measures.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f2-nmi-8-2015-021: Comparison of area under ROC curve for all five anthropometric measures.
Mentions: Each anthropometric measure was converted into binary categories and used in the classification table with MQSGA categories. The strength of individual model in correctly identifying true positive or true negative cases in a classification matrix is measured by the lift on the ROC curve from a logistic regression model. ROC curve is plotted as sensitivity against the 1-specificity (Fig. 2). Sensitivity indicates the relative strength of the model in accurately predicting positive cases as positive, and specificity refers to the relative strength in predictive negative cases as negative. The values of area under ROC curve indicate how best the model can discriminate those true positive and true negative cases. A value of 1.0 indicates perfect discrimination while a value of 0.5 indicates random outcomes.16 Using this criteria, MAC was again the best performing in terms of prediction accuracy (AUC = 0.8773). Both MAMC (AUC = 0.8596) and BMI (AUC = 0.8519) performed very well. BSF (AUC = 0.7948) and TSF (AUC = 0.7855) had slightly lower but satisfactory lift.

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