Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jan 8:10:1166361.
doi: 10.3389/fnut.2023.1166361. eCollection 2023.

The role of comprehensive geriatric assessment in the identification of different nutritional status in geriatric patients: a real-world, cross-sectional study

Yanmin Ju  1 , Xiaoye Lin  1 , Kexin Zhang  1 , Di Yang  1 , Mengyu Cao  1 , Huijing Jin  1 , Jiyan Leng  1
Affiliations

The role of comprehensive geriatric assessment in the identification of different nutritional status in geriatric patients: a real-world, cross-sectional study

Yanmin Ju et al. Front Nutr. .

Abstract

Background: Malnutrition is an often unrecognized problem, but it is common in older patients and leads to adverse outcomes.

Aims: The purpose of this study is to analyze the prevalence of the risk of undernutrition in elderly patients and the correlation between CGA and nutritional status, and to determine the nutritional status of elderly patients.

Methods: This is a real-world cross-sectional study of continuously enrolled elderly patients aged 65 years or older with a complete CGA database. CGA inventory was prepared by compiling and screening general information, body composition and blood biochemical results. MNA was also conducted for each elderly patient to screen for malnutrition. A multivariable logistic regression analysis was used to determine the association between the CGA and nutritional assessment.

Result: The average age of the 211 selected elderly patients (160 men and 51 women) was 79.60 ± 9.24 years, and their ages ranged from 65 to 96 years. After controlling for confounders, patients with a history of PUD (OR = 2.353, p = 0.044), increased ADLs & IADLs scores (OR = 1.051, p = 0.042) or GDS scores (OR = 6.078, p < 0.001) may increase the incidence of the risk of undernutrition respectively, while an increase in BMI (OR = 0.858, p = 0.032) may lower the incidence of malnutrition risk. In addition, increased ADLs & IADLs scores (OR = 1.096, p = 0.002) or GDS scores (OR = 11.228, p < 0.001) may increase the incidence of undernutrition. However, increased MMSE (OR = 0.705, p < 0.001), BMI (OR = 0.762, p = 0.034), UAC (OR = 0.765, p = 0.048) and CC (OR = 0.721, p = 0.003) may decrease the incidence of undernutrition, respectively.

Conclusion: The study found that the prevalence of risk of undernutrition in elderly patients was the highest. Risk of undernutrition was independently associated with peptic ulcer disease, ADLs & IADLs, GDS and BMI. However, we found that when the nutritional status reached the level of undernutrition, it was related to more factors, including ADLs & IADLs, MMSE, GDS, BMI, UAC and CC. Determining the level of malnutrition through CGA may help to prevent and intervene malnutrition as early as possible.

Keywords: Mini nutritional assessment; comprehensive geriatric assessment; multivariable logistic regression analysis; nutritional status; real-world.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Multivariable logistic regression analysis for risk of undernutrition and the receiver operating characteristic of comprehensive PUD, ADL, GDS and BMI.
Figure 2
Figure 2
Multivariable logistic regression analysis for undernutrition and receiver operating characteristic of comprehensive ADLs & IADLs, MMSE, GDS, BMI, UAC and CC.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Lahmann NA, Tannen A, Suhr R. Underweight and malnutrition in home care: a multicenter study. Clin Nutr. (2016) 35:1140–6. doi: 10.1016/j.clnu.2015.09.008 - DOI - PubMed
    1. Volkert D, Beck AM, Cederholm T, Cereda E, Cruz-Jentoft A, Goisser S, et al. . Management of Malnutrition in older patients-current approaches, evidence and open questions. J Clin Med. (2019) 8:974. doi: 10.3390/jcm8070974, PMID: - DOI - PMC - PubMed
    1. Shlisky J, Bloom DE, Beaudreault AR, Tucker KL, Keller HH, Freund-Levi Y, et al. . Nutritional considerations for healthy aging and reduction in age-related chronic disease. Adv Nutr. (2017) 8:17–26. doi: 10.3945/an.116.013474, PMID: - DOI - PMC - PubMed
    1. Rubenstein LZ, Goodwin M, Hadley E, Patten SK, Rempusheski VF, Reuben D, et al. . Working group recommendations: targeting criteria for geriatric evaluation and management research. J Am Geriatr Soc. (1991) 39:37S–41S. PMID: - PubMed
    1. Fagard K, Casaer J, Wolthuis A, Flamaing J, Milisen K, Lobelle JP, et al. . Value of geriatric screening and assessment in predicting postoperative complications in patients older than 70 years undergoing surgery for colorectal cancer. J Geriatr Oncol. (2017) 8:320–7. doi: 10.1016/j.jgo.2017.07.008, PMID: - DOI - PubMed