Geriatric Nutritional Risk Index assessment in elderly patients during the COVID‐19 outbreak

Yuan, Yajun; Mao, Junjie; Ou, Xue‐Qing; Huang, Lili; Tu, Qiuyun; Wang, Nan

doi:10.1002/hsr2.560

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…GNRI is the geriatric nutritional risk index, 22 which integrates three indicators of serum albumin level, actual weight and ideal weight, and GNRI score is proportional to the nutritional status of the patient, and can more fully reflect the nutritional status of the patient’s body. 51 , 52 Related studies have shown 53 that GNRI assessment may provide valuable information for predicting the prognosis of COVID-19 pneumonia in older adults. Several previous studies have attempted to compare the GNRI with other standardized indices such as the MNA and the GNRI, and have found the GNRI to be valid for use in older adults, but mostly in combination with other indices.…”

Section: Discussionmentioning

confidence: 99%

Predicting COVID-19 Re-Positive Cases in Malnourished Older Adults: A Clinical Model Development and Validation

Chen,

Luo,

Sun

et al. 2024

CIA

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Purpose Building and validating a clinical prediction model for novel coronavirus (COVID-19) re-positive cases in malnourished older adults. Patients and Methods Malnourished older adults from January to May 2023 were retrospectively collected from the Department of Geriatrics of the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine. They were divided into a “non-re-positive” group and a “re-positive” group based on the number of COVID-19 infections, and into a training set and a validation set at a 7:3 ratio. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify predictive factors for COVID-19 re-positivity in malnourished older adults, and a nomogram was constructed. Independent influencing factors were screened by multivariate logistic regression. The model’s goodness-of-fit, discrimination, calibration, and clinical impact were assessed by Hosmer-Lemeshow test, area under the curve (AUC), calibration curve, decision curve analysis (DCA), and clinical impact curve analysis (CIC), respectively. Results We included 347 cases, 243 in the training set, and 104 in the validation set. We screened 10 variables as factors influencing the outcome. By multivariate logistic regression analysis, preliminary identified protective factors, risk factors, and independent influencing factors that affect the re-positive outcome. We constructed a clinical prediction model for COVID-19 re-positivity in malnourished older adults. The Hosmer-Lemeshow test yielded χ 2 =5.916, P =0.657; the AUC was 0.881; when the threshold probability was >8%, using this model to predict whether malnourished older adults were re-positive for COVID-19 was more beneficial than implementing intervention programs for all patients; when the threshold was >80%, the positive estimated value was closer to the actual number of cases. Conclusion This model can help identify the risk of COVID-19 re-positivity in malnourished older adults early, facilitate early clinical decision-making and intervention, and have important implications for improving patient outcomes. We also expect more large-scale, multicenter studies to further validate, refine, and update this model.

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Section: Discussionmentioning

confidence: 99%

Predicting COVID-19 Re-Positive Cases in Malnourished Older Adults: A Clinical Model Development and Validation

Chen,

Luo,

Sun

et al. 2024

CIA

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“…Pengetahuan dan sikap masyarakat terhadap infeksi akan mempengaruhi ketaatan dan kemandirian dalam perilaku untuk menghindari infeksi (Abualhommos et al, 2021). Pengetahuan ini juga akan mendukung program pencegahan infeksi lain seperti imunisasi (Moeed et al, 2022) dan upaya pemenuhan gizi yang baik untuk ketahanan tubuh (Yuan et al, 2022).…”

Section: A Latar Belakangunclassified

Peningkatan Pengetahuan Anggota Prolanis Tentang Menjaga Kesehatan Di Usia Lanjut Dan Mencegah Infeksi Dengan Cuci Hidung

Hayati,

Widuri

2023

JMM

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Abstrak: Usia lanjut merupakan tahapan suatu proses kehidupan yang ditandai oleh penurunan, kelemahan dan kerentanan tubuh terhadap penyakit dan lingkungan. Permasalahan utama pada manula adalah mulai timbulnya beberapa penyakit kronis sehingga dibuat program pengelolaan penyakit kronis (Prolanis) untuk meningkatkan kualitas hidup dan menjaga kesehatan anggotanya. Pengabdian ini bertujuan untuk meningkatkan pengetahuan dan kesadaran anggota Prolanis sehingga mampu secara mandiri melakukan penjagaan kesehatan dan pencegahan dari faktor-faktor risiko yang membahayakan pada usia lanjut. Kegiatan pengabdian diawali dengan koordinasi, dilanjutkan dengan pelaksanaan ceramah, demo cuci hidung dan diakhiri dengan kesan pesan dan evaluasi. Acara diikuti oleh perwakilan anggota prolanis sebanyak 30 peserta secara onffline dengan menjaga protokol kesehatan. Evaluasi dilakukan dengan mengisi kuesioner dimana terjadi peningkatan dari peserta terbanyak saat pre-tes mampu menjawab 75% pertanyaan dengan benar dan meningkat menjadi peserta terbanyak saat post-tes mampu menjawab 80% pertanyaan dengan benar.Abstract: Elderly is a stage of a life process marked by decline, weakness and vulnerability of the body to disease and the environment. The main problem in the elderly is the emergence of several chronic diseases so that a chronic disease management program (Prolanis) was created to improve the quality of life and maintain the health of its members. This service aims to increase the knowledge and awareness of Prolanis members so that they are able to independently carry out health care and prevention of harmful risk factors in old age. Service activities begin with coordination, followed by holding lectures,nasal irrigation demonstrations and ending with message impressions and evaluations. The event was attended by representatives of prolanis members as many as 30 participants while maintaining health protocols. The evaluation was carried out by filling out a questionnaire where there was an increase from the most participants during the pre-test being able to answer 75% of the questions correctly and increasing to the most participants during the post-test being able to answer 80% of the questions correctly.

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Geriatric Nutritional Risk Index assessment in elderly patients during the COVID‐19 outbreak

Yuan

Mao

et al. 2022

Health Science Reports

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Background and Aims: Globally, coronavirus disease-2019 (COVID-19) is persistent in many countries and presents a major threat to public health. Critically, elderly individuals, especially those with underlying disease, poor nutritional and immune functions, are highly susceptible. Therefore, we analyzed the epidemiological features in elderly COVID-19 patients.Methods: In total, 126 patients were recruited in the Fifth Affiliated Hospital of Sun Yat-sen University, China from January 2020 to March 2020 (including 103 confirmed COVID-19 patients and 23 elderly suspected cases). Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. We assessed nutritional risks in elderly patients by calculating the Geriatric Nutritional Risk Index (GNRI).Results: When compared with young patients, elderly patients were more likely to have underlying comorbidities and received nutritional support and intensive care unit treatment. Elderly patients had significantly lower levels of the following: lymphocyte percentages, red blood cell counts, hemoglobin levels, and serum albumin values. When compared with suspected COVID-19 elderly cases, elderly patients had significantly lower red blood cell counts and hemoglobin levels. The average GNRI of suspected cases and confirmed patients indicated no nutritional risk. There were no marked differences in GNRI values between groups. Conclusion:Nutritional risk assessments may provide valuable information for predicting a COVID-19 prognosis, especially in elderly patients. Anemia prevention and management should be actively and timely provided. GNRI is a potentially prognostic factor for hospitalized elderly patients. Moreover, it is also important to follow up discharged patients for continuous nutritional observations.

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Geriatric Nutritional Risk Index assessment in elderly patients during the COVID‐19 outbreak

Cited by 4 publications

References 23 publications

Predicting COVID-19 Re-Positive Cases in Malnourished Older Adults: A Clinical Model Development and Validation

Predicting COVID-19 Re-Positive Cases in Malnourished Older Adults: A Clinical Model Development and Validation

Peningkatan Pengetahuan Anggota Prolanis Tentang Menjaga Kesehatan Di Usia Lanjut Dan Mencegah Infeksi Dengan Cuci Hidung

Geriatric Nutritional Risk Index assessment in elderly patients during the COVID‐19 outbreak

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