Malnutrition Diagnosis

Step 1: Select Clinical Context

Inflammation Response Definitions:

  • Acute Illness or Injury: Marked inflammatory response.
  • Chronic Illness: Mild to moderate inflammation.
  • Social or Environmental: No inflammatory response.

Step 2: Evaluate Clinical Characteristics

e.g., orbital, triceps, fat overlying the ribs.

e.g., wasting of temples, clavicles, shoulders, interosseous muscles, scapula, thigh, or calf.

Evaluate for generalized or localized fluid accumulation (extremities, vulvar/scrotal edema or ascites).

Consult normative standards supplied by the manufacturer of the measurement device.

How to Use The ASPEN/AND Criteria Tool
  1. Select Clinical Context: Choose Acute, Chronic, or Social/Environmental. This is crucial as it sets the diagnostic thresholds.
  2. Use Calculators (Optional): For Energy Intake and Weight Loss, you can use the built-in calculators to automatically determine the correct severity level.
  3. Evaluate Physical Findings: Select the severity for the remaining physical characteristics based on your clinical assessment.
  4. Diagnose: A diagnosis of malnutrition requires at least two of the six characteristics to be present. The tool will provide a final diagnosis based on your selections.
About The ASPEN/AND Criteria

The following table is adapted from the Academy of Nutrition and Dietetics (Academy)/American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) clinical characteristics to support a diagnosis of malnutrition [2].

Clinical CharacteristicAcute Illness or InjuryChronic IllnessSocial or Environmental
Non-severe (moderate)SevereNon-severe (moderate)SevereNon-severe (moderate)Severe
Energy Intake< 75% for > 7 days≤50% for ≥5 days< 75% for ≥1 month< 75% for ≥3 months≤50% for ≥1 month
Weight Loss1-2% in 1 wk
5% in 1 mo
7.5% in 3 mo
>2% in 1 wk
>5% in 1 mo
>7.5% in 3 mo
5% in 1 mo
7.5% in 3 mo
10% in 6 mo
20% in 1 yr
>5% in 1 mo
>7.5% in 3 mo
>10% in 6 mo
>20% in 1 yr
5% in 1 mo
7.5% in 3 mo
10% in 6 mo
20% in 1 yr
>5% in 1 mo
>7.5% in 3 mo
>10% in 6 mo
>20% in 1 yr
Body Fat LossMildModerateMildSevereMildSevere
Muscle Mass LossMildModerateMildSevereMildSevere
Fluid AccumulationMildModerate to severeMildSevereMildSevere
Reduced Grip StrengthMeasurably reduced
Guide to Choosing a Malnutrition Tool

The selection of a malnutrition diagnosis tool involves a critical balance between usability, objectivity, and applicability to specific patient populations. The trend is shifting from the subjective SGA towards more structured, consensus-based frameworks like GLIM, which aim to standardize malnutrition diagnosis globally.

FeatureSGA (Subjective Global Assessment)ASPEN/AND CriteriaGLIM (Global Leadership Initiative on Malnutrition)
UsabilityHigh: Quick bedside assessment.Moderate: Requires collecting data on at least two of six specific criteria.Moderate to High: A two-step process (screening then assessment).
Resource RequirementsLow: No special equipment is needed.Moderate: May require equipment (e.g., handgrip dynamometer).Moderate: May require equipment for muscle mass assessment.
Key StrengthsHighly practical, cost-effective, extensive validation [6].Objective criteria, incorporates inflammation [2].Global consensus, flexible, comprehensive framework [1].
Key LimitationsHighly subjective, lower inter-rater reliability.Can be complex to apply consistently.Newer, with less long-term outcome data.
Performance in OncologyStrong: The PG-SGA variant is considered a reference standard for predicting outcomes [3].-Good: Shows good agreement with PG-SGA and predicts survival, but may have lower specificity [3].
Performance in ElderlyFair to Good: Widely used but subjectivity can be a challenge.-Strong: Designed to be applicable to older adults and shows good concordance with comprehensive geriatric nutritional assessments [4].
Performance in Surgical/ICUFair: Useful for general assessment but may be less predictive of mortality in the ICU compared to specialized tools [5].Good: Emphasis on inflammation is highly relevant in critically ill and post-operative patients.Good: Relevant criteria, but like SGA, may be outperformed by ICU-specific risk scores (e.g., mNUTRIC) for predicting mortality [5].
References
  1. Cederholm, T., Jensen, G. L., Correia, M. I. T. D., et al. (2019). GLIM criteria for the diagnosis of malnutrition – A consensus report from the global clinical nutrition community. Clinical Nutrition, 38(1), 1-9.
  2. White, J. V., Guenter, P., et al. (2012). Consensus statement: Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition. Journal of Parenteral and Enteral Nutrition, 36(3), 275–283.
  3. de van der Schueren, M. A. E., et al. (2021). A systematic review and meta-analysis of the diagnostic accuracy of the GLIM criteria for malnutrition. Clinical Nutrition.
  4. Bellanti, F., et al. (2021). The Global Leadership Initiative on Malnutrition (GLIM) criteria for malnutrition in older adults: A systematic review. The Journal of Nutrition, Health & Aging.
  5. Saptari, R. L., et al. (2024). Comparative analysis of malnutrition screening tools in predicting mortality in critically ill patients: SGA, GLIM, and mNutric Score. Journal of Critical Care.
  6. Detsky, A. S., McLaughlin, J. R., Baker, J. P., et al. (1987). What is subjective global assessment of nutritional status? Journal of Parenteral and Enteral Nutrition, 11(1), 8-13.