Agreement between nutritional risk screening tools and anthropometry in hospitalized pediatric patients

2021 ◽  
Author(s):  
Tatiana Abreu Barros ◽  
Juliana Moreira da Silva Cruvel ◽  
Bruna de Melo Silva ◽  
Bruna Renata Fernandes Pires ◽  
Ana Gabriella Magalhães de Amorim dos Santos ◽  
...  
Keyword(s):  
Pediatric Patients ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Screening

scholarly journals A comparison of nutritional-risk screening tools in an acute specialist cardio-thoracic NHS Trust

2008 ◽  
Vol 67 (OCE3) ◽  
Author(s):  
E. M. Robson ◽  
G. V. Ravenhill ◽  
F. Gorman ◽  
M. Carby ◽  
S. Collins
Keyword(s):  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Screening

scholarly journals Selection and optimization of nutritional risk screening tools for esophageal cancer patients in China

2020 ◽  
Vol 14 (1) ◽  
pp. 20 ◽  
Author(s):  
Wen Dong ◽  
Xiguang Liu ◽  
Shunfang Zhu ◽  
Di Lu ◽  
Kaican Cai ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Cancer Patients ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Screening

scholarly journals Nutritional Risk Screening Tools for Elderly Patients with COVID-19: A Systematic Review

2020 ◽  
Author(s):  
David Franciole de Oliveira Silva ◽  
Severina Carla Vieira Cunha Lima ◽  
Karine Cavalcanti Mauricio Sena-Evangelista ◽  
Dirce Marchioni ◽  
Ricardo Ney Cobucci ◽  
...  
Keyword(s):  
Systematic Review ◽  
Predictive Validity ◽  
High Sensitivity ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Measurement Properties ◽  
Nutritional Screening ◽  
Risk Screening ◽  
Nrs 2002 ◽  
Nutritional Risk Screening

Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in elderly people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants’ ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), Mini Nutritional Assessment (MNA), MNA-short form (MNA-sf), Malnutrition Universal Screening Tool (MUST), Nutritional Risk Index (NRI), Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in elderly COVID-19 patients.

MON-P220: Nutritional Risk Screening Tools for Paediatric Inpatients: An Evaluation Study

2016 ◽  
Vol 35 ◽  
pp. S233-S234
Author(s):  
O. Cheirakaki ◽  
A. Hatzoglou ◽  
O. Zerva ◽  
C. Katsagoni ◽  
A. Koulieri ◽  
...  
Keyword(s):  
Evaluation Study ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Screening

scholarly journals Comparison of nutritional risk screening tools for predictingsarcopenia in hospitalized patients

2017 ◽  
Vol 47 ◽  
pp. 1362-1369 ◽  
Author(s):  
Mehmet YÜRÜYEN ◽  
Hakan YAVUZER ◽  
Serap YAVUZER ◽  
Mahir CENGİZ ◽  
Filiz DEMİRDAĞ ◽  
...  
Keyword(s):  
Hospitalized Patients ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Screening

P244 NUTRITIONAL RISK SCREENING (NRS) AND SERUM ALBUMIN (SA) AS HOSPITAL-ADMISSION NUTRITIONAL RISK SCREENING TOOLS

2008 ◽  
Vol 3 ◽  
pp. 133
Author(s):  
C. Perez-Portabella ◽  
P. Chacön ◽  
J. Rosellö ◽  
B. Sarto ◽  
M. Giribés ◽  
...  
Keyword(s):  
Serum Albumin ◽  
Hospital Admission ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Risk Screening ◽  
Nutritional Risk Screening

scholarly journals Nutritional Risk Screening Tools for Older Adults with COVID-19: A Systematic Review

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2956 ◽  
Author(s):  
David Franciole Oliveira Silva ◽  
Severina Carla Vieira Cunha Lima ◽  
Karine Cavalcanti Mauricio Sena-Evangelista ◽  
Dirce Maria Marchioni ◽  
Ricardo Ney Cobucci ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Predictive Validity ◽  
High Sensitivity ◽  
Screening Tools ◽  
Nutritional Risk ◽  
Nutritional Screening ◽  
Risk Screening ◽  
Nrs 2002 ◽  
Nutritional Risk Screening

Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in older people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants’ ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), the Mini Nutritional Assessment (MNA), the MNA-short form (MNA-sf), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Index (NRI), the Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in older adults with COVID-19.

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