Concurrent and predictive validity of the Mini Nutritional Assessment Short‐Form and the Geriatric Nutritional Risk Index in older stroke rehabilitation patients

The solution is AN EXACT DIET PROTOCOL! WHOM EXACTLY IS WORKING ON THAT? 

Or is your hospital so FUCKING INCOMPETENT they have never written up a diet protocol for all these conditions?

For dementia prevention; for cognitive improvement; for cholesterol reduction; for plaque removal; for Parkinsons prevention; for inflammation reduction; etc.

Do you prefer your doctor and hospital incompetence NOT KNOWING? OR NOT DOING?

Concurrent and predictive validity of the Mini Nutritional Assessment Short‐Form and the Geriatric Nutritional Risk Index in older stroke rehabilitation patients

Title

Concurrent and predictive validity of the Mini Nutritional Assessment Short‐Form and the Geriatric Nutritional Risk Index in older stroke rehabilitation patients

Other Title

• 高齢脳卒中リハビリテーション患者におけるMini Nutritional Assessment Short-FormとGeriatric Nutritional Risk Indexの併存的および予測的妥当性

Author

Nishioka, Shinta

Alias Name

• 西岡, 心大
• ニシオカ, シンタ

Author

Omagari, Katsuhisa

Alias Name

• オオマガリ, カツヒサ
• オオマガリ, カツヒサ

Author

Nishioka, Emi

Alias Name

• ニシオカ, エミ
• ニシオカ, エミ

Author

Mori, Natsumi

Alias Name

• モリ, ナツミ
• モリ, ナツミ

Author

竹谷, 豊

Author

Kayashita, Jun

Alias Name

• カヤシタ, ジュン
• カヤシタ, ジュン

University

徳島大学

Types of degree

博士（栄養学）

Grant ID

甲栄第279号

Degree year

2019-08-21

Description

Background: 

Malnutrition might worsen the clinical outcomes in stroke patients, although few nutritional screening tools have assessed their validity. 

Methods: 

We assessed clinical data of consecutive stroke patients aged ≥65 years in rehabilitation hospital from 2015 to 2017 using the Mini Nutritional Assessment Short-Form (MNA-SF) and the Geriatric Nutritional Risk Index (GNRI) for index testing. The European Society for Parenteral and Enteral Nutrition diagnostic criteria for malnutrition (ESPEN-DCM) was used as a reference standard. The receiver-operating characteristics curve was illustrated by the sensitivity (Se) and specificity (Sp). The Youden index was used to define the cut-off value for malnutrition detection or screening. The Functional Independence Measure (FIM) and discharge destination were compared for verifying predictive validity. 

Results: 

We enrolled 420 patients for the analysis. Of them, 125 patients were included in malnutrition group (mean age: 80 years) and 295 in non-malnutrition group (mean age: 77 years) by the ESPEN-DCM. The area under the curve of the MNA-SF and the GNRI were 0.890 and 0.865, respectively. Se and Sp cut-off values to detect or screen malnutrition were 5 (Se: 0.78; Sp: 0.85) and 7 (Se: 0.96; Sp: 0.57) for the MNA-SF and 92 (Se: 0.74; Sp: 0.84) and 98 (Se: 0.93; Sp: 0.50) for the GNRI, respectively. The GNRI were associated with discharge destination, whereas no correlation was observed between the MNA-SF and outcomes by multivariable analysis. 

Conclusions: 

The MNA-SF and GNRI have fair concurrent validity if appropriate cut-off values were used. The GNRI exhibits good predictive validity in stroke patients.