Logistic Regression Formula of Sermet-Gaudelus et al for Identifying a Hospitalized Child at Risk for Malnutrition

Purpose: To identify a hospitalizaed child at risk for malnutrition using the logistic regression formula of Sermet-Gaudelus et al.

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Evaluation

Are you evaluating a hospitalized child for the risk of significant weight loss?

Yes

Age of the child

years

Percent of daily dietary allowance ingested (enter from 0 to 100)

Does the child show any physical sign of pain?

Yes

Visual analogue scale score for pain (enter from 0 to 100)

Severity of underlying disease

Results

Please fill out required fields.

Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Value of F

Probability of a > 2% weight loss

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
- Risk Score of Sermet-Gaudelus et al for Identifying Children at Risk for Malnutrition
Clinical Diagnosis, Including Family History For Genetics
- Rapid Nutritional Assessment Score (Score d'Evaluation Nutritionnelle Rapide, SENR) for Malnutrition in Children
Laboratory Tests
- Rapid Nutritional Assessment Score (Score d'Evaluation Nutritionnelle Rapide, SENR) for Malnutrition in Children
Severity, Prognosis, Stage
- Rapid Nutritional Assessment Score (Score d'Evaluation Nutritionnelle Rapide, SENR) for Malnutrition in Children
- Risk Score of Sermet-Gaudelus et al for Identifying Children at Risk for Malnutrition
Complications
- Nutritional Deficiencies Associated with Autism

Specialty

Nutrition
Pedatrics

Objective

clinical diagnosis
including family history for genetics

ICD-10

E43 - Unspecified severe protein-energy malnutrition
E44 - Protein-energy malnutrition of moderate and mild degree

Info

Purpose: To identify a hospitalizaed child at risk for malnutrition using the logistic regression formula of Sermet-Gaudelus et al.

Specialty: Nutrition, Pedatrics

Objective: clinical diagnosis, including family history for genetics

ICD-10: E43, E44,

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