SUN-PO202: Comparison of Nutritional Risk Screening Tools for Predicting Mortality in Hospitalized Older Adults: 2-Year Prospective Study

2019 ◽  
Vol 38 ◽  
pp. S134
Author(s):  
C. Balci ◽  
B. Bolayır ◽  
B. Balam Yavuz ◽  
M. Cankurtaran ◽  
M. Halil
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 ◽  
...  

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.


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

2020 ◽  
Vol 14 (1) ◽  
pp. 20 ◽  
Author(s):  
Wen Dong ◽  
Xiguang Liu ◽  
Shunfang Zhu ◽  
Di Lu ◽  
Kaican Cai ◽  
...  

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Christine Mills

AbstractIntroduction:Over one-third of these community-dwelling older adults in Canada are at increased nutritional risk. Worldwide, two-thirds of older adults are at increased nutritional risk, although this figure includes those who are hospitalized or in long term care. Nutritional risk can lead to malnutrition; this occurs when an individual's food intake has an imbalance of energy, protein, or other nutrients. Nutritional risk and malnutrition are associated with poor quality of life, increased hospitalization, and premature mortality. Since malnutrition starts in the community, primary care is the ideal location for nutritional risk screening. If nutritional risk is identified early, before it progresses to malnutrition, it can be more easily treated. It is therefore important to understand barriers and facilitators to nutritional risk screening in primary care.Materials and Methods:The peer-reviewed and grey literature were searched. The databases CINAHL, Embase, Medline, and Google Scholar were used to identify articles related to barriers and facilitators to nutritional risk screening of older adults in primary care. A Google search identified publications from the grey literature related to nutritional risk screening of older adults. Key informants consisting of health care professionals working in primary care were asked to identify additional barriers. The Theoretical Domains Framework (TDF) was used to classify the barriers and facilitators.Results:Nine barriers and nine facilitators relating to nutritional risk screening of older adults in primary care were identified. These barriers and facilitators were located within the following domains of the TDF: knowledge; skills; social/professional role and identity; beliefs about capabilities; beliefs about consequences; motivation and goals; memory, attention and decision processes; environmental context and resources; social influences; emotions; behavioural regulation; and nature of the behaviours.Discussion:The TDF can be used to examine the barriers and facilitators to nutritional risk screening of older adults in primary care. Identification and classification of these barriers and facilitators can aid in the development and implementation of interventions designed to improve rates of nutritional risk screening in primary care. Identifying older adults at nutritional risk can help to prevent malnutrition, by intervening early when poor dietary intake may still be relatively easy and inexpensive to address. Screening is the first step in this identification.


Author(s):  
David Franciole de Oliveira Silva ◽  
Severina Carla Vieira Cunha Lima ◽  
Karine Cavalcanti Mauricio Sena-Evangelista ◽  
Dirce Marchioni ◽  
Ricardo Ney Cobucci ◽  
...  

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.


Author(s):  
V. Braga ◽  
J.L. Braga de Aquino ◽  
V.A. Leandro-Merhi

Objective: To investigate nutritional risk in hospitalized older adults with neoplasms. Methods: This cross-sectional study collected the following data from 142 older patients: gender, age, length of hospital stay (LHS), death outcome, and nutritional status indicators, such as body mass index (BMI), nutritional risk screening (NRS), subjective global assessment (SGA), and energy intake. The statistical analyses included the tests chi-square, Fisher’s exact, and Mann-Whitney’s at a significance level of 5%. Results: According to the NRS, 42.25% of the patients were at nutritional risk, and according to the SGA, 40.14% of the patients were malnourished. A total of 6.34% of the patients died. Death outcome was significantly associated with gender (p=0.0408); SGA (p=0.0301); NRS (p=0.0360); and LHS (p=0.0043). Nutritional risk (NRS) was significantly associated with SGA and BMI (p<0.0001), and LHS (p=0.0199). Conclusion: Death outcome was more common in malnourished patients, patients at nutritional risk, and patients with longer LHS. Nutritional risk was associated with malnutrition (SGA), BMI, and longer LHS. Hence, early nutritional care should be provided routinely in the hospital care of hospitalized older patients.


2016 ◽  
Vol 35 ◽  
pp. S233-S234
Author(s):  
O. Cheirakaki ◽  
A. Hatzoglou ◽  
O. Zerva ◽  
C. Katsagoni ◽  
A. Koulieri ◽  
...  

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