scholarly journals Frailty syndrome in the elderly

2020 ◽  
Vol 13 (2) ◽  
pp. 14-19
Author(s):  
Dimitrios Bakas
Keyword(s):  
Disease Risk ◽  
Frailty Index ◽  
The Elderly ◽  
Adverse Outcomes ◽  
Geriatric Syndrome ◽  
Frailty Syndrome ◽  
Preventive Action ◽  
Frailty Phenotype ◽  
Chronic Disease Risk ◽  
Frailty Assessment

Frailty syndrome is a geriatric syndrome characterized by increased vulnerability to stressors and for which there is no widely recognized and accepted clinical assessment scale. The two most widely used and commonly used frailty assessment indicators are the Frailty Phenotype and Frailty Index. The etiopathogenesis of frailty has complex and multifactorial etiology, with genetic, metabolic, environmental, socio-economic, nutritional, lifestyle, acute and chronic disease risk factors. Frailty is a risk factor for adverse outcomes in the health of older people. Physical exercise is the only intervention that has been confirmed by research to prevent the appearance of frailty in the elderly. The most effective preventive action is complete, thorough and comprehensive geriatric assessment by an interdisciplinary team.

scholarly journals Elderly Characteristics with Frailty Syndrome by Frailty Index Questionnaire – 40 (FI - 40) at Bandung Nursing Home

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Ivany R Rahmadani ◽  
Lazuardhi Dwipa ◽  
Yuni S Pratiwi
Keyword(s):  
Nursing Home ◽  
Clinical Outcomes ◽  
Frail Elderly ◽  
Frailty Index ◽  
The Elderly ◽  
Frailty Syndrome ◽  
Common Cause ◽  
Body Function ◽  
Foot Problems ◽  
Quantitative Design

Frailty syndrome is a state of decreased body function, thereby increasing susceptibility to poor clinical outcomes. The risks of developing frailty syndrome increase in the elderly at Nursing Home. This study is expected to provide characteristic data of frailty syndrome as the basis for the prevention and management for the elderly. This study is conducted by using a descriptive quantitative design. The data is taken by using FI-40 questionnaire consisting of 40 questions in the elderly at Bandung done by using total sampling. There are 42(58.3%) of pre-frail and 7(9.7%) of frail elderly out of 72 data. Pre-frail prevails mostly in women (29 subjects; 69.1%) and at age of 60-69 years in 18 subjects (42.8%). Frail elderly is found mostly in women (3 subjects; 42.8%) and aged 70-79 years (3 subjects ; (42.8). The most common cause of frailty is eye and foot problems in 7(100%). The most common cause of pre-frail is the assumption of health level in 35(83.3%). This study concludes that frailty syndrome is common among the elderly and special attention must be paid to eye and foot problems.Keywords: elderly, frailty syndrome, FI-40 questionnaire, nursing home

scholarly journals Comparison of Sarcopenia with Modified Frailty Index as a Predictor of Adverse Outcomes in Critically Ill Elderly Patients

2021 ◽  
pp. 200-206
Author(s):  
Shrirang Bhurchandi ◽  
Sachin Agrawal ◽  
Sunil Kumar ◽  
Sourya Acharya
Keyword(s):  
Elderly Patients ◽  
Critically Ill ◽  
Health Care Cost ◽  
Frailty Index ◽  
The Elderly ◽  
Time Frame ◽  
Adverse Outcomes ◽  
Cross Sectional ◽  
Parametric Data ◽  
Modified Frailty Index

Background: Ageing is a global fact affecting both developed and developing countries.It brings out various catabolic changes in body resulting in frailty(i.e. the person is not able to with stand minor stresses of the environment, due to reduced reserves in psychologicalreserve of several organ system).Thus causing a great burden of disease, dependence & health care cost. Sarcopenia is the leading component for frailty in the elderly population, but very few studies have been done in India for correlating frailty with sarcopenia. Aim: To compare sarcopenia with modified frailty index (MFI) as a predictor of adverse outcomes in critically ill elderly patients. Methodology: Cross-sectional study will be performed on all the critically ill geriatric subjects/patients coming to all the ICU's of AVBRH, Sawangi (M), Wardha who will satisfy various inclusion and exclusion criteria for selection and all standard parametric & non-parametric data will be assessed by using standard descriptive & inferential statistics. Expected Results: In our study, we are anticipating that the Modified frailty index to be a better predictor of adverse outcomes in terms of mortality as compared to sarcopenia in the critically ill elderly patients. Also, we are anticipating that sarcopenia to be the most important contributor of frailty in critically ill elderly patients and the prevalence of frailty will be high in critically ill elderly patients. Limitation: Due to limited time frame & resources we will not be able to follow up the patients.

scholarly journals Prediction of Cognitive Status and 5-year Survival rate for Elderly with Cardiovascular Diseases: A Canadian Study of Health and Aging Secondary Data Analysis

2020 ◽  
pp. 1-7
Author(s):  
S. Pakzad ◽  
P. Bourque ◽  
N. Fallah
Keyword(s):  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Frailty Index ◽  
Secondary Analysis ◽  
Secondary Data ◽  
The Elderly ◽  
Cognitive Status ◽  
Canadian Study ◽  
Cognitive Changes

Background: Given the important association between cardiovascular disease and cognitive decline, and their significant implications on frailty status, the contribution of neurocognitive frailty measure helping with the assessment of patient outcomes is dearly needed. Objectives: The present study examines the prognostic value of the Neurocognitive Frailty Index (NFI) in the elderly with cardiovascular disease. Design: Secondary analysis of the Canadian Study of Health and Aging (CSHA) dataset was used for prediction of 5-year cognitive changes. Setting: Community and institutional sample. Participants: Canadians aged 65 and over [Mean age: 80.4 years (SD=6.9; Range of 66-100)]. Measurement: Neurocognitive Frailty Index (NFI) and Modified Mini-Mental State (3MS) scores for cognitive functioning of all subjects at follow-up and mortality rate were measured. Results: The NFI mean score was 9.63 (SD = 6.04) and ranged from 0 to 33. This study demonstrated that the NFI was significantly associated with cognitive changes for subjects with heart disease and this correlation was a stronger predictor than age. Conclusion: The clinical relevance of this study is that our result supports the prognostic utility of the NFI tool in treatment planning for those with modifiable cardiovascular disease risk factors in the development of dementia.

scholarly journals An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population

2020 ◽  
Vol 17 (18) ◽  
pp. 6808
Author(s):  
Nawapong Chumha ◽  
Sujitra Funsueb ◽  
Sila Kittiwachana ◽  
Pimonpan Rattanapattanakul ◽  
Peerasak Lerttrakarnnon
Keyword(s):  
Associated Factors ◽  
The Elderly ◽  
The Body ◽  
Assessment Tools ◽  
Self Organizing Map ◽  
Classification Rate ◽  
Frailty Phenotype ◽  
Thai Population ◽  
Frailty Assessment ◽  
Som Model

Frailty, one of the major public health problems in the elderly, can result from multiple etiologic factors including biological and physical changes in the body which contribute to the reduction in the function of multiple bodily systems. A diagnosis of frailty can be reached using a variety of frailty assessment tools. In this study, general characteristics and health data were assessed using modified versions of Fried’s Frailty Phenotype (mFFP) and the Frail Non-Disabled (FiND) questionnaire (mFiND) to construct a Self-Organizing Map (SOM). Trained data, composed of the component planes of each variable, were visualized using 2-dimentional hexagonal grid maps. The relationship between the variables and the final SOM was then investigated. The SOM model using the modified FiND questionnaire showed a correct classification rate (%CC) of about 66% rather than the model responded to mFFP models. The SOM Discrimination Index (SOMDI) identified cataracts/glaucoma, age, sex, stroke, polypharmacy, gout, and sufficiency of income, in that order, as the top frailty-associated factors. The SOM model, based on the mFiND questionnaire frailty assessment, is an appropriate tool for assessment of frailty in the Thai elderly. Cataracts/glaucoma, stroke, polypharmacy, and gout are all modifiable early prediction factors of frailty in the Thai elderly.

scholarly journals Correlation of Hand Grip, Gait Speed, Physical Activity with Frailty Index in Geriatric Population

2021 ◽  
Vol 12 (1) ◽  
pp. 208-212
Author(s):  
Malarvizhi D ◽  
Hariharan S
Keyword(s):  
Physical Activity ◽  
Negative Correlation ◽  
Gait Speed ◽  
Frailty Index ◽  
The Elderly ◽  
Clinical Syndrome ◽  
Geriatric Syndrome ◽  
Age Group ◽  
Geriatric Population ◽  
Hand Grip

The Geriatric syndrome includes a series of representation which may be related to ageing such as delirium, falls, incontinence and frailty.  Frailty is a common clinical syndrome in geriatric population that supports the weight of enhancing the risk of poor health outcomes, including the falls incident, disability, hospitalization and mortality.  This study aims to find out the Correlation of Hand Grip, Gait Speed and Physical Activity with Frailty Index in Geriatric Population.  It is an observational study done with convenient sampling with 40 participants of both the sexes were selected based on the selection criteria.  The frailty of participants was assessed by a questionnaire which contains 41 components known as “Frailty Index”.  An administered interviewer reported that. Hand-Held Dynamometer measured hand Grip. A 10-meter walk test assessed gait speed. The Physical Activity Scale assessed physical activity for The Elderly (PASE).  The results showed that PASE Score, for the age group between 60-69 years people have high PASE score 100.9 than the age group of peoples 70-79 years, 80-89 years and 90-97 years with a score of 71.49, 36.17, 6.5 respectively. There is a negative correlation of frailty index with hand grip (r = -0.314), gait speed (r = -0.313) and Physical activity.  The study concluded that there was a negative correlation of handgrip, gait speed and physical activity with frailty index in the geriatric population.

14 A Systematic Review of the Prevalence and Implications of Frailty in Diabetes Mellitus

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i1-i6
Author(s):  
P Hanlon ◽  
I Faure ◽  
N Corcoran ◽  
E Butterly ◽  
J Lewsey ◽  
...  
Keyword(s):  
Systematic Review ◽  
Frailty Index ◽  
Vascular Complications ◽  
Adverse Outcomes ◽  
Middle Aged ◽  
Frailty Phenotype ◽  
Age Related ◽  
Low Middle Income Countries ◽  
The Impact ◽  
The Relationship

Abstract Background Frailty, an age-related state of vulnerability to adverse health outcomes, is an important factor in the management of diabetes. This systematic review aims to summarise the observational data on prevalence of frailty in diabetes and the association between frailty and generic (e.g. mortality) and diabetes specific (e.g. hypoglycaemia) outcomes. Methods We searched three electronic databases for observational studies assessing frailty in adults (≥18 years) with diabetes (type 1, type 2, or unspecified). Eligible studies quantified the prevalence or incidence of frailty or the association between frailty and clinical outcomes in the context of diabetes. Results 118 studies included, using 18 different frailty measures. Frailty phenotype was the most used (n = 69) followed by frailty index (n = 16) and the FRAIL scale (n = 10). Studies were highly heterogenous in terms of setting (88 community, 18 outpatient, 10 inpatient, 2 residential care), population demographics, and inclusion criteria. The median frailty prevalence in community-based studies using the frailty phenotype was 13% (interquartile range 7-18%). Frailty was identified in “middle-aged” (<65 years) as well as older people with diabetes. Diabetes was consistently associated with incident frailty. Frailty was associated with higher mortality, hospital admission, incident disability. Frailty was associated with hypoglycemic events in 1/1 study. Frailty was also associated cross-sectionally with micro- and macro-vascular complications, lower quality of life, and cognitive impairment. Frailty was not associated with difference in mean HbA1c, however people with frailty were more likely to have high (>9%) or low (<6.5%) HbA1c. Conclusions Frailty in diabetes is common but inconsistently measured. Frailty is associated with a range of adverse outcomes. Research gaps include the relationship between frailty and glycaemia (particularly hypoglycaemia and the relationship between HbA1c and outcomes in the context of frailty), and the impact of frailty in specific groups such as middle-aged people and in low and low-middle income countries.

scholarly journals Prevalence of Frailty syndrome in elderly hypertensive patients

2021 ◽  
Vol 28 (1) ◽  
pp. 35-42
Author(s):  
L. M. Yena ◽  
G. M. Khrystoforova ◽  
M. G. Akhaladze ◽  
O. G. Garkavenko
Keyword(s):  
Essential Hypertension ◽  
Elderly Patients ◽  
Physical Performance ◽  
Physical Disorder ◽  
Geriatric Syndrome ◽  
Frailty Syndrome ◽  
Frailty Phenotype ◽  
Predominant Form ◽  
Physical Disorders ◽  
Elderly Hypertensive

The aim – to determine the frequency and severity of Frailty syndrome in elderly patients with essential hypertension on the basis of geriatric instruments.Materials and methods. 120 elderly patients with uncomplicated essential hypertension were investigated by conducting a survey on the questionnaire FRAIL and modified phenotype Frailty, Short Physical Performance Battery.Results and discussion. The frequency of Frailty syndrome in elderly hypertensive’s significantly depend on the method used and was 17.2, 10.9 and 11.1 % while exploring the FRAIL questionnaire, the Frailty phenotype and the Short Physical Performance Battery, respectively. The predominant form of physical disorders was prefrail, its registration, depending on the method of diagnosis, varied from 20,2 % up to 68 %. The incidence of Frailty geriatric syndrome increased with age, it was more common in women than in men when measured by the FRAIL questionnaire and the Frailty phenotype.Conclusions. In elderly patients with uncomplicated essential hypertension the registration of Frailty depends on the methods used. PreFrailty proved to be the predominant form of physical disorder.

scholarly journals Prevalence of Physical Frailty: Results from the DO-HEALTH Study

2021 ◽  
pp. 1-8
Author(s):  
M. Gagesch ◽  
P.O. Chocano-Bedoya ◽  
L.A. Abderhalden ◽  
G. Freystaetter ◽  
A. Sadlon ◽  
...  
Keyword(s):  
Controlled Trial ◽  
Frailty Index ◽  
Female Gender ◽  
Community Dwelling ◽  
Health Study ◽  
Geriatric Syndrome ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Cross Sectional ◽  
Frailty Status

Background: Frailty is a geriatric syndrome associated with multiple negative health outcomes. However, its prevalence varies by population and instrument used. We investigated frailty and pre-frailty prevalence by 5 instruments in community-dwelling older adults enrolled to a randomized-controlled trial in 5 European countries. METHODS: Cross-sectional baseline analysis in 2,144 DO-HEALTH participants recruited from Switzerland, Austria, France, Germany, and Portugal with complete data for frailty. Frailty status was assessed by the Physical Frailty Phenotype [PFP], SOF-Frailty Index [SOF-FI], FRAIL-Scale, SHARE-Frailty Instrument [SHARE-FI], and a modified SHARE-FI, and compared by country, age, and gender. Logistic regression was used to determine relevant factors associated with frailty and pre-frailty. RESULTS: Mean age was 74.9 (±4.4) years, 61.6% were women. Based on the PFP, overall frailty and pre-frailty prevalence was 3.0% and 43.0%. By country, frailty prevalence was highest in Portugal (13.7%) and lowest in Austria (0%), and pre-frailty prevalence was highest in Portugal (57.3%) and lowest in Germany (37.1%). By instrument and overall, frailty and pre-frailty prevalence was highest based on SHARE-FI (7.0% / 43.7%) and lowest based on SOF-FI (1.0% / 25.9%). Frailty associated factors were residing in Coimbra (Portugal) [OR 12.0, CI 5.30-27.21], age above 75 years [OR 2.0, CI 1.17-3.45], and female gender [OR 2.8, CI 1.48-5.44]. The same three factors predicted pre-frailty. CONCLUSIONS: Among relatively healthy adults age 70 and older enroled to DO-HEALTH, prevalence of frailty and pre-frailty differed significantly by instrument, country, gender, and age. Among instruments, the highest prevalence of frailty and pre-frailty was documented by the SHARE-FI and the lowest by the SOF-FI.

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