Association between serum vitamin B12 level and frailty in older adults

Current Evidence on the Association of Micronutrient Malnutrition with Mild Cognitive Impairment, Frailty, and Cognitive Frailty among Older Adults: A Scoping Review

Micronutrient malnutrition is thought to play an important role in the cause of cognitive impairment and physical frailty. The purpose of this scoping review was to map current evidence on the association between micronutrient deficiency in blood and mild cognitive impairment, frailty, and cognitive frailty among older adults. The scoping review was conducted based on the 2005 methodological framework by Arksey and O'Malley. The search strategy for potential literature on micronutrient concentration in blood and cognitive frailty was retrieved based on the keywords using electronic databases (PubMed, Cochrane Library, Google Scholar, Ovid, and Science Direct) from January 2010 to December 2021. Gray literature was also included in the searches. A total of 4310 articles were retrieved and 43 articles were incorporated in the review. Findings revealed a trend of significant association between low levels of B vitamins (folate and vitamin B12), vitamin D, vitamin A, vitamin E, omega 3 fatty acid, and albumin, and high homocysteine levels in blood with an increased risk of mild cognitive impairment among older adults. The results also indicated that low vitamin D levels, albumin, and antioxidants (lutein and zeaxanthin) in blood were significantly associated with frailty among older adults, while β-cryptoxanthin and zeaxanthin in blood were inversely associated with the risk of cognitive frailty. Vitamin D and antioxidants seemed to be targeted nutrients for the prevention of cognitive frailty. In conclusion, a wide range of micronutrient deficiency was associated with either mild cognitive impairment or frailty; however, little evidence exists on the dual impairment, i.e., cognitive frailty. This scoping review can serve as preliminary evidence for the association between micronutrient deficiency in blood and mild cognitive impairment, frailty, and cognitive frailty among older adults and prove the relevancy of the topic for future systematic reviews.

Prevalence of frailty and associated socio-demographic factors among community-dwelling older people in southwestern Iran: a cross-sectional study

OBJECTIVES

This community-based cross-sectional study aimed to identify the frailty prevalence and associated socio-demographic factors among older adults in five cities of the south west of Iran.

METHODS

We selected a random sample of adults aged 60 years and above from five Southwest cities in Iran. Data for this study were retrospectively collected from 540 community-dwelling older adults. To measure frailty, we utilized the frailty index of cumulative deficit (FICD). Data were collected from medical records and socio-demographic factors, including gender, age, marital status, education level, lifestyle, income, and job status. The chi-square test and Spearman's correlation coefficient test were used to assess the relationship between the demographic variables and frailty status (SPSS version 22). Also, multiple binary logistic regression models were used to estimate the effects of demographic characteristics on the frailty recurrence.

RESULTS

The overall frailty prevalence was as follows: 77 (14.3%) frail, 139 (25.7%) pre-frail, and 324 (60%) not frail. The findings showed that all variables except education level and marital status are significantly associated with frailty status (P < 0.05). Multiple ridge logistic regression model indicated that age, gender, marital status, job status have significant, and education level, living arrangement, and economic status have no considerable effect on the frailty.

CONCLUSIONS

This study has shown that age and gender significantly contributed to the frailty process in older adults. The research also has shown the syndrome's occurrence affected by the aging process, and it supports the biological characteristics of frailty.

How gait influences frailty models and health-related outcomes in clinical-based and population-based studies: a systematic review

Aging is often associated with a decline in physical function that eventually leads to loss of autonomy in activities of daily living (ADL). Walking is a very common ADL, important for main determinants of quality of life in older age, and it requires the integration of many physiological systems. Gait speed has been described as the 'sixth vital sign' because it is a core indicator of health and function in aging and disease. We reviewed original studies up to June 2020 that assessed frailty in both longitudinal and cross-sectional observational studies, paying particular attention to how gait is measured in older population and how the gait parameter adopted may influence the estimated frailty models and the health-related outcomes of the various studies (i.e. clinical, cognitive, physical, and nutritional outcomes). Eighty-five studies met the search strategy and were included in the present systematic review. According to the frailty tools, more than 60% of the studies used the physical phenotype model proposed by Fried and colleagues, while one-third referred to multi-domain indexes or models and only 5% referred to other single-domain frailty models (social or cognitive). The great heterogeneity observed in gait measurements and protocols limited the possibility to directly compare the results of the studies and it could represent an important issue causing variability in the different outcome measures in both clinical-and population-based settings. Gait appeared to be an indicator of health and function also in frail older adults, and different gait parameters appeared to predict adverse health-related outcomes in clinical, cognitive, and physical domains and, to a lesser extent, in nutritional domain. Gait has the potential to elucidate the common basic mechanisms of cognitive and motor decline. Advances in technology may extend the validity of gait in different clinical settings also in frail older adults, and technology-based assessment should be encouraged. Combining various gait parameters may enhance frailty prediction and classification of different frailty phenotypes.

Identification of Frailty and Its Risk Factors in Elderly Hospitalized Patients from Different Wards: A Cross-Sectional Study in China

OBJECTIVES

To survey the difference of frailty prevalence in elderly inpatients amongdifferent wards; to compare the diagnostic performance of five frailty measurements (Clinical Frailty Scale [CFS], FRAIL, Fried, Edmonton, Frailty Index [FI]) in identifying frailty; and to explore the risk factors of frailty in elderly inpatients.

PARTICIPANTS AND METHODS

This was a cross-sectional study including 1000 inpatients (mean age 75.2±6.7 years, 51.5% male; 542, 229, and 229 patients from cardiology, non-surgical, and surgical wards, respectively) in a tertiary hospital from September 2018 to February 2019. We applied the combined index to integrate the five frailty measurements mentioned above as the gold standard of frailty diagnosis. Multivariate logistic regression models were used to determine the independent risk factors of frailty.

RESULTS

Frailty prevalence was 32.3% (Fried), 36.2% (CFS), 19.2% (FRAIL), 25.2% (Edmonton), 35.1% (FI) in all patients. The frailty was more common in non-surgical wards, regardless of the frailty assessment tools used (non-surgical wards: 27.5% to 51.5%; cardiology ward: 14.9% to 29.3%; surgical wards: 18.8% to 41.9%). CFS≥5 showed a sensitivity of 94.1% and a specificity of 85.2% for all patients. FI≥0.25 showed a sensitivity of 94.8% and a specificity of 87.0% for all patients. Age [odds ratio (OR) = 1.089, P<0.001], education level (OR = 0.782, P=0.001), heart rate (OR = 1.025, P<0.001), albumin (OR = 0.911, P=0.002), log D-dimer (OR = 2.940, P<0.001), ≥5 comorbidities (OR = 2.164, P=0.002), and ≥5 medications (OR = 2.819, P<0.001) were independently associated with frailty in all participants.

CONCLUSION

Frailty is common among elderly inpatients, especially in non-surgical wards. CFS is a preferred screening tool and FI may be an optimal assessment tool. Old age, low educational level, fast heart rate, low albumin, high D-dimer, ≥5 comorbidities, and polypharmacy are independent risk factors of frailty in elderly hospitalized patients.

Mini Nutritional Assessment Scale-Short Form can be useful for frailty screening in older adults

Aim

Mini Nutritional Assessment-Short Form (MNA-SF) is used to assess nutritional status in older adults, but it is not known whether it can be used to define frailty. This study was aimed to investigate whether or not MNA-SF can identify frailty status as defined by Fried’s criteria.

Methods

A total of 1,003 outpatients (aged 65 years or older) were included in the study. All patients underwent comprehensive geriatric assessment. Frailty status was evaluated by Fried’s criteria: unintentional weight loss, exhaustion, low levels of activity, weakness, and slowness. One point is assigned for each criterion, and frailty status is identified based on the number of points scored: 0 points, not frail; 1–2 points, pre-frail; ≥3 points, frail. A total score of MNA-SF <8, 8–11, and >11 indicates malnutrition, risk of malnutrition, and no malnutrition, respectively.

Results

Of the 1,003 outpatients (mean age 74.2±8.5 years), 313 participants (31.2%) were considered frail and 382 (38.1%) pre-frail. Among frail and pre-frail patients, 49.2% and 25.1% were at risk of malnutrition and 22.0% and 1.6% were malnourished, respectively. MNA-SF with a cut-off point of 11.0 had a sensitivity of 71.2% and a specificity of 92.8% for the detection of frail participants, and with a cut-off point of 13 had a sensitivity of 45.7% and a specificity of 78.3% for the detection of pre-frailty. The area under the curve for MNA-SF was estimated to be 0.906 and 0.687 for frailty and pre-frailty, respectively.

Conclusion

MNA-SF can be useful for frailty screening in older adults.

Relationship between nutritional status and frailty in hospitalized older patients

Objective

The definition of frailty still lacks quantitative biomarkers. This study aimed to investigate the relationship between nutrition-related biomarkers and frailty in hospitalized older patients.

Materials and methods

This is a cross-sectional study including 380 hospitalized older patients. The patients were categorized as nonfrail (n=140), prefrail (n=81), and frail (n=159) by the criteria of frailty phenotype. The nutritional status was assessed using the mini nutritional assessment-short form (MNA-SF), levels of serum transferrin (TNF), prealbumin (PA), total protein (TP), albumin (ALB), retinol-binding protein (RBP), and hemoglobin (Hb).

Results

The grip strength, levels of serum TFN, TP, ALB, Hb, and MNA-SF scores all decreased significantly in the order of nonfrail, prefrail, and frail groups (P<0.01). Older ages, more fall incidents, and higher polypharmacy ratio were observed in the frail and prefrail groups than in the nonfrail group (P<0.05). Univariate logistic regression analysis showed that frailty was positively related to age, polypharmacy, fall history, nutritional status, levels of TFN, PA, TP, ALB, RBP, and Hb, but was negatively related to grip strength. Ordinal logistic regression analysis showed that older patients who were well nourished, with higher levels of TFN, TP, and ALB were less likely to develop into frailty.

Conclusion

Hospitalized older patients with better nutritional status and higher levels of TFN, TP, and ALB were less likely to develop into frailty. These nutrition-related biomarkers may be used for the evaluation of nutritional status and frailty in older patients.

Frequency and coincidence of geriatric syndromes according to age groups: single-center experience in Turkey between 2013 and 2017

Background

Geriatric syndromes are complex clinical manifestations that are not an isolated disease in older adults and have common risk factors within themselves. The syndromes are significant causes of mortality, morbidity, and increased health care costs.

Objective

To determine the frequency of geriatric syndromes such as malnutrition, dementia, depression, falls, polypharmacy, urinary incontinence, pressure ulcer, sarcopenia, and frailty in community-dwelling older adults.

Methods

A total of 2,816 patients, who applied to geriatric outpatient clinic and were evaluated by comprehensive geriatric assessment, were included in this cross-sectional retrospective study. Falls in the last year and urinary incontinence were recorded. Polypharmacy was accepted as concurrent use of more than four drugs. Diagnosis of dementia and depression was defined according to Diagnostic and Statistical Manual of Mental Disorders Fifth Edition diagnostic criteria. In addition, frailty and sarcopenia were evaluated according to Fried's physical frailty scale and European Working Group on Sarcopenia criteria, respectively.

Results

The frequency of polypharmacy was 54.5%, urinary incontinence 47.6%, malnutrition 9.6%, depression 35.1%, dementia 21.6%, falls 33.6%, sarcopenia 31.7%, and frailty 28.3%. When all the participants were divided into three groups (60-69, 70-79, ≥80 years), all syndromes were significantly increased with age, except for depression. While 20% of cases in 60-69 years age group did not have any syndromes, 48% of cases in ≥80 years had more than four syndromes simultaneously.

Conclusion

The frequency and coincidence of geriatric syndromes, except for depression, increases with age. Therefore, clinicians other than geriatricians taking care of older people should be aware of these syndromes as well as their treatment mechanisms.