Malnourishment
Conditions
Keywords
Nutritional assessment, Nutritional Risk Screening 2002, Subjective Global Assessment.
Brief summary
This study investigated the results of the nutritional status of hospitalized patients with Nutritional Risk Screening 2002 (NRS-2002) and Subjective Global Assessment (SGA) screening and compared the effects of two screening method in predicting malnutrition.
Detailed description
In the cross-sectional study demographic data, body mass index (BMI), length of hospital stay (LOS), and cause of hospitalization of hospitalized patients were recorded. For the nutritional assessment all patients were screened with NRS 2002 and SGA within the first days of admission to the patients. The primary predictors of interest in our study were the NRS 2002 and SGA results of patients.
Interventions
Sponsors
Study design
Eligibility
Inclusion criteria
* ≥18 years old * non-bed-dependent * non-critİcal service patients
Exclusion criteria
* \< 18 years old, * hospitalized due to surgical operation, * pregnant women, * breastfeeding women, * bed-dependent, * suffered an advanced disease that required palliative care.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identifying malnourishment according to the Nutritional Risk Screening 2002 | First 48 hours of hospitalization | The results of the Nutritional Risk Screening 2002 (NRS-2002): The patients were classified as being nutritionally risk (NRS+): total score ≥ 3 or nutritionally risk-free (NRS-): total score \< 3 according to NRS 2002 results. |
| Identifying malnourishment according to the Subjective Global Assessment (SGA) | First 48 hours of hospitalization | The results of the Subjective Global Assessment (SGA): The SGA screening provides three alternative categories for nutritional classification: well nourished (A); mild-to-moderately malnourished (B); or severely malnourished (C). |
| Compare the results of two screening tools. | Through study completion, an average of 1 year | Compare the results of NRS-2002 and SGA tools on predicting malnutrition and nutritional status of patients. |