METHODS: Data from the Malaysian elders longitudinal research (MELoR) study were utilised. Baseline data were obtained from home-based computer-assisted interviews and hospital-based health-checks from 2013 to 2015. Protocol of MELoR study has been described in previous study (Lim in PLoS One 12(3):e0173466, 2017). Follow-up interviews were conducted in 2019 during which data on the adverse outcomes of falls, sarcopenia, hospitalization, and memory worsening were obtained. Sarcopenia at follow-up was determined using the strength, assistance with walking, rising from a chair, climbing stairs, and falls (SARC-F) questionnaire.
RESULTS: Follow-up data was available for 776 participants, mean (SD) age 68.1 (7.1) years and 57.1% women. At baseline, 37.1% were robust, 12.8% had isolated cognitive impairment, 24.1% were prefrail, 1.0% were frail, 20.2% were prefrail with cognitive impairment, and 4.8% had CF. Differences in age, ethnicity, quality of life, psychological status, function and comorbidities were observed across groups. The association between CF with hospitalisation and falls compared to robust individuals was attenuated by ethnic differences. Pre-frail individuals were at increased risk of memory worsening compared robust individuals [aOR(95%CI) = 1.69 (1.09-2.60)]. Frail [7.70 (1.55-38.20)], prefrail with cognitive impairment [3.35 (1.76-6.39)] and CF [6.15 (2.35-16.11)] were significantly more likely to be sarcopenic at 5-year follow-up compared to the robust group.
CONCLUSIONS: Cognitive frailty was an independently predictor of sarcopenia at 5-year follow-up. The relationship between CF with falls and hospitalization, however, appeared to be accounted for by ethnic disparities. Future studies should seek to unravel the potential genetic and lifestyle variations between ethnic groups to identify potential interventions to reduce the adverse outcomes associated with CF.
METHODS: A literature search was performed on six databases using the terms "malnutrition", "hospitalised elderly", "nutritional assessment", "Mini Nutritional Assessment (MNA)", "Geriatric Nutrition Risk Index (GNRI)", and "Subjective Global Assessment (SGA)".
RESULTS: According to the previous studies, the prevalence of malnutrition among hospitalized elderly shows an increasing trend not only locally but also across the world. Under-recognition of malnutrition causes the number of malnourished hospitalized elderly to remain high throughout the years. Thus, the development of nutritional screening and assessment tools has been widely studied, and these tools are readily available nowadays. SGA, MNA, and GNRI are the nutritional assessment tools developed specifically for the elderly and are well validated in most countries. However, to date, there is no single tool that can be considered as the universal gold standard for the diagnosis of nutritional status in hospitalized patients.
CONCLUSION: It is important to identify which nutritional assessment tool is suitable to be used in this group to ensure that a structured assessment and documentation of nutritional status can be established. An early and accurate identification of the appropriate treatment of malnutrition can be done as soon as possible, and thus, the malnutrition rate among this group can be minimized in the future.