Understanding the demographic, clinical biochemistry and health care data associated with malnutrition in the UK Clinical Practice Research Datalink (CPRD), to support development of The EAMIT Tool (East Anglian Malnutrition Identification Tool)

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Observational analysis reveals demographic and biochemistry trends in malnutrition in the UK, indicating a need for improved identification tools.

Individuals in the high-risk malnutrition group had a median weight loss of -5.9%, showcasing significant health declines.
The MUST tool identified 47% of individuals over 85 years in the high-risk group, compared to 43% in unscreened individuals.
Median BMI for high-risk individuals was 18.3 kg/m², while unscreened individuals had a median of 26.3 kg/m², highlighting significant disparities.
The findings indicate a high necessity for developing a new tool, as 72%-80% of BMI data were missing in MUST categories.

Welch et al. (2025) studied this question.

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View Full Paper

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Authors

Observational analysis reveals demographic and biochemistry trends in malnutrition in the UK, indicating a need for improved identification tools.

Individuals in the high-risk malnutrition group had a median weight loss of -5.9%, showcasing significant health declines.
The MUST tool identified 47% of individuals over 85 years in the high-risk group, compared to 43% in unscreened individuals.
Median BMI for high-risk individuals was 18.3 kg/m², while unscreened individuals had a median of 26.3 kg/m², highlighting significant disparities.
The findings indicate a high necessity for developing a new tool, as 72%-80% of BMI data were missing in MUST categories.

Welch et al. (2025) studied this question.

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