Some mathematical models of frailty and their clinical implications

Frailty is a term that is used often, but commonly not defined precisely. As reviewed elsewhere most definitions share several features. Typically, older adults who are frail have a greater rate of dependence on others, so-called ‘loss of physiological reserve’ and multiple diseases. A dynamic component is often included (e.g. ‘loss of reserve’ and such synonyms as ‘unstable disability’ and ‘impaired homeostenosis’) and is manifest when, over time, patients respond less well to stress, or when those with given levels of frailty have higher rates of adverse outcomes. Still, the imprecision of the term frailty has led some to question its merit, and either to develop alternative means of classification or to stay with the concept of function and disability. Alternative methods of classification are either broadly or narrowly focussed.

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Caring for Older Adults During and After Critical Illness

10.1093/oso/9780190077013.003.0010 ◽

2021 ◽

pp. 216-234

Author(s):

Maria C. Duggan ◽

Julie Van ◽

E. Wesley Ely

Keyword(s):

Older Adults ◽

Critical Illness ◽

Health Care Professionals ◽

Interdisciplinary Approach ◽

Adverse Outcomes ◽

Evidence Based ◽

Complex Population ◽

Multiple Domains ◽

Over Time

Over half of people with critical illness are older adults, and the number of older adults admitted to intensive care units has been increasing over time. Older adults have increased vulnerability to disease, disability, and adverse outcomes across many domains. To address this most effectively, a unique, interdisciplinary approach is necessary to optimize not only survival but also functional status and quality of life. A shortage of health care professionals equipped to care for the aging population makes it imperative that all professionals become aware of basic principles of caring for older adults. To equip them to care for this complex population, this chapter provides an overview of how aging impacts multiple domains of an older person with critical illness and describes evidence-based approaches to caring for older adults with critical illness.

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Biopsychosocial Patterning of Multimorbidity and Its Consequences

The Oxford Handbook of Integrative Health Science ◽

10.1093/oxfordhb/9780190676384.013.14 ◽

2018 ◽

pp. 220-236

Author(s):

Elliot Friedman ◽

Beth LeBreton ◽

Lindsay Fuzzell ◽

Elizabeth Wehrpsann

Keyword(s):

Quality Of Life ◽

Older Adults ◽

Functional Outcomes ◽

The United States ◽

Chronic Medical Conditions ◽

Quality Of Life Research ◽

Increased Risk ◽

Over Time

By many estimates the majority of adults over age 65 have two or more chronic medical conditions (multimorbidity) and are consequently at increased risk of adverse functional outcomes. Nonetheless, many older adults with multimorbidity are able to maintain high levels of function and retain good quality of life. Research presented here is designed to understand the influences that help ensure better functional outcomes in these older adults. This chapter presents findings that draw on data from the Midlife in the United States study. The independent and interactive contributions of diverse factors to multimorbidity and changes in multimorbidity over time are reviewed. The degree that multimorbidity increases risk of cognitive impairment and disability is examined. The role of inflammation as a mediator is considered. Multimorbidity is increasingly the norm for older adults, so better understanding of factors contributing to variability in multimorbidity-related outcomes can lead to improved quality of life.

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INTERNET USE AND LONELINESS OF OLDER ADULTS OVER TIME: THE MEDIATION EFFECT OF SOCIAL CONTACT

Innovation in Aging ◽

10.1093/geroni/igz038.697 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S194-S194

Author(s):

Kexin Yu ◽

Shinyi Wu ◽

Iris Chi

Keyword(s):

Older Adults ◽

Older People ◽

Internet Use ◽

Social Contact ◽

Total Effect ◽

Mediation Effect ◽

Health And Retirement Study ◽

Longitudinal Association ◽

Retirement Study ◽

Over Time

Abstract Internet is increasingly popular among older adults and have changed interpersonal interactions. However, it remains controversial whether older people are more or less lonely with internet use. This paper tests the longitudinal association of internet use and loneliness among older people. One pathway that explains the association, the mediation effect of social contact, was examined. Data from the 2006, 2010 and 2014 waves of Health and Retirement Study was used. Hierarchical liner modeling results showed internet use was related to decreased loneliness over 12-year period of time (b=-0.044, p<.001). Internet use was associated with more social contact with family and friends overtime (b=0.261, p<.001), social contact was related to less perceived loneliness longitudinally (b=0.097, p<.001). The total effect of internet use on loneliness is -0.054 and the mediated effect is -0.025. The findings imply that online activities can be effective for reducing loneliness for older people through increased social contact.

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Dynamics of Multimorbidity Resilience and Health Outcomes Over Time in Community-Residing Older Adults

Innovation in Aging ◽

10.1093/geroni/igaa057.3285 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 890-891

Author(s):

Yingzhi Xu ◽

Zahra Rahmaty ◽

Eleanor McConnell ◽

Tingzhong (Michelle) Xue ◽

Bada Kang ◽

...

Keyword(s):

Older Adults ◽

Health Outcomes ◽

Physical Health ◽

Social Life ◽

Structural Equation ◽

Equation Modeling ◽

Psychological Resilience ◽

Pain Level ◽

Reciprocal Relationships ◽

Over Time

Abstract Multimorbidity resilience may mitigate the adverse effects of multiple chronic diseases on older adults’ health. Wister et al.’s (2018) multimorbidity resilience index was developed and tested in a cross-sectional sample of older adults in Canada. Building on these findings, we examined the reciprocal relationships of resilience on outcomes to test these potentially mitigating effects in a community-based, U.S. sample of older adults over time. The study sample includes 1,054 older adults from waves 2 and 3 of the National Social Life, Health, and Aging Project (NSHAP) study (Waite et al 2020). Wister et al.’s (2018) index was mapped to NSHAP measures, and reciprocal relationships of multimorbidity resilience and health outcomes over a 5-year period was tested using structural equation modeling (SEM). Results indicated significant effects of multimorbidity resilience on self-rated physical health and pain. Interestingly, a better functional resilience at baseline conferred better self-rated physical health at follow-up, while better psychological resilience predicted lower pain level. By contrast, the influence of health outcomes on any domain of multimorbidity resilience was not detectable at all, supporting the direction of these associations from resilience to outcomes. The study systematically investigated the dynamic hypotheses between multimorbidity resilience and health outcomes. That is, whether they are determinants or consequences, or both. Our findings suggest multimorbidity resilience predicts subsequent 5-year change in health outcomes, especially self-rated physical health and pain level, but not vice versa, strengthening the evidence of the importance of resilience in the health of older adults.

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How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review

Journal of NeuroEngineering and Rehabilitation ◽

10.1186/s12984-021-00909-0 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Grainne Vavasour ◽

Oonagh M. Giggins ◽

Julie Doyle ◽

Daniel Kelly

Keyword(s):

Systematic Review ◽

Older Adults ◽

Gait Speed ◽

Outcome Measurement ◽

Wearable Sensors ◽

Adverse Outcomes ◽

Community Dwelling ◽

Ageing Population ◽

Application Development ◽

Community Dwelling Older Adults

Abstract Background Globally the population of older adults is increasing. It is estimated that by 2050 the number of adults over the age of 60 will represent over 21% of the world’s population. Frailty is a clinical condition associated with ageing resulting in an increase in adverse outcomes. It is considered the greatest challenge facing an ageing population affecting an estimated 16% of community-dwelling populations worldwide. Aim The aim of this systematic review is to explore how wearable sensors have been used to assess frailty in older adults. Method Electronic databases Medline, Science Direct, Scopus, and CINAHL were systematically searched March 2020 and November 2020. A search constraint of articles published in English, between January 2010 and November 2020 was applied. Papers included were primary observational studies involving; older adults aged > 60 years, used a wearable sensor to provide quantitative measurements of physical activity (PA) or mobility and a measure of frailty. Studies were excluded if they used non-wearable sensors for outcome measurement or outlined an algorithm or application development exclusively. The methodological quality of the selected studies was assessed using the Appraisal Tool for Cross-sectional Studies (AXIS). Results Twenty-nine studies examining the use of wearable sensors to assess and discriminate between stages of frailty in older adults were included. Thirteen different body-worn sensors were used in eight different body-locations. Participants were community-dwelling older adults. Studies were performed in home, laboratory or hospital settings. Postural transitions, number of steps, percentage of time in PA and intensity of PA together were the most frequently measured parameters followed closely by gait speed. All but one study demonstrated an association between PA and level of frailty. All reports of gait speed indicate correlation with frailty. Conclusions Wearable sensors have been successfully used to evaluate frailty in older adults. Further research is needed to identify a feasible, user-friendly device and body-location that can be used to identify signs of pre-frailty in community-dwelling older adults. This would facilitate early identification and targeted intervention to reduce the burden of frailty in an ageing population.

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Characterizing Physical Resilience in Older Adults: Insights From Secondary Analyses in Three Clinical Groups

Innovation in Aging ◽

10.1093/geroni/igaa057.2712 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 752-753

Author(s):

Brian Buta ◽

Anne Newman

Keyword(s):

Older Adults ◽

Bone Marrow ◽

Bone Marrow Transplantation ◽

Marrow Transplantation ◽

Adverse Outcomes ◽

Clinical Population ◽

Medical Procedure ◽

Main Study ◽

Secondary Analyses ◽

Existing Data

Abstract Resilience is defined as the ability of a physiologic system to recover from a stressor that has pushed the system into a state far from its original state of equilibrium. The level of resilience can be understood by whether or not the system’s essential identity and function are retained following the stressor. The study of resilience in older adults has potential to provide clinically relevant insights into our understanding of who will or will not recover when encountering a stressful medical procedure, especially those common to older patients. The main Study of Physical Resilience and Aging (SPRING) at Johns Hopkins includes prospective data collection of determinants, phenotypes, surrogates, dynamic stimulation measures, and outcomes of resiliency among older persons undergoing knee replacement surgery, or the initiation of hemodialysis, or bone marrow transplantation. SPRING also includes analyses of existing data sources to inform these prospective studies. This symposium briefly presents the conceptual framework and design of SPRING, and focuses on the results of secondary analyses from three existing data sets that mirror the ongoing stressor studies: FORCE-TKR (knee/joint replacement, N=9006), CHOICE (dialysis initiation, N=487), and a database of patients undergoing treatment for hematologic malignancies (bone marrow transplantation, N=1011). For each clinical population, we present results on phenotypic and/or biomarker trajectories, as well as the factors associated with resilience phenotypes and how these are predictive of clinical outcomes. These analyses display the utility of resilience phenotypes for predicting risk of adverse outcomes and complement the new data being collected in our main study.

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Exploring the Association between Multimorbidity and Cognitive Impairment in Older Adults Living in the Community: A Review of the Literature

Home Health Care Management & Practice ◽

10.1177/10848223211030468 ◽

2021 ◽

pp. 108482232110304

Author(s):

Grace F. Wittenberg ◽

Michelle A. McKay ◽

Melissa O’Connor

Keyword(s):

Older Adults ◽

Cognitive Impairment ◽

Assessment Tool ◽

Adult Population ◽

Home Health ◽

Adverse Outcomes ◽

Community Dwelling ◽

Cognitive Screening ◽

Review Of The Literature ◽

Increased Risk

Two-thirds of older adults have multimorbidity (MM), or co-occurrence of two or more medical conditions. Mild cognitive impairment (CI) is found in almost 20% of older adults and can lead to further cognitive decline and increased mortality. Older adults with MM are the primary users of home health care services and are at high risk for CI development; however, there is no validated cognitive screening tool used to assess the level of CI in home health users. Given the prevalence of MM and CI in the home health setting, we conducted a review of the literature to understand this association. Due to the absence of literature on CI in home health users, the review focused on the association of MM and CI in community-dwelling older adults. Search terms included home health, older adults, cognitive impairment, and multimorbidity and were applied to the databases PubMed, CINAHL, and PsychInfo leading to eight studies eligible for review. Results show CI is associated with MM in older adults of increasing age, among minorities, and in older adults with lower levels of education. Heart disease was the most prevalent disease associated with increased CI. Sleep disorders, hypertension, arthritis, and hyperlipidemia were also significantly associated with increased CI. The presence of MM and CI was associated with increased risk for death among older adults. Further research and attention are needed regarding the use and development of a validated cognitive assessment tool for home health users to decrease adverse outcomes in the older adult population.

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Age-Cohort Differences in Longitudinal Associations Between the Rate of Internet Use and Memory Functioning

Innovation in Aging ◽

10.1093/geroni/igaa057.1321 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 410-410

Author(s):

Vineet Raichur ◽

Lindsay Ryan ◽

Richard Gonzalez ◽

Jacqui Smith

Keyword(s):

Older Adults ◽

Episodic Memory ◽

Cognitive Complexity ◽

Internet Use ◽

Age Groups ◽

Word Recall ◽

Use Patterns ◽

Younger Age ◽

Rate Of Increase ◽

Over Time

Abstract Cross-sectional analyses of internet use patterns among older adults find that the rate of internet use is less with greater physical and memory difficulties. It is not clear, however, how age-cohorts differ in their internet use as physical and memory difficulties increase over time. In addition to factors such as increasing accessibility (cost) and social influences, the expansion and cognitive complexity of functions performed by the internet-enabled devices over time could influence internet use patterns. In this study, we investigate how the association between internet use and episodic memory difficulties over time varies between cohorts. We analyzed longitudinal data from the Health and Retirement Study (N = 15,703 in 2002; Aged 51 and older) between years 2002-2016 using mixed effects logistic regression models. Immediate and delayed word recall measures were used to assess episodic memory. Rate of internet use in the sample increased from 30% in 2002 to 53% in 2016. Rate of internet use among younger age groups was significantly higher in the baseline year. Younger age groups also showed a significantly higher rate of increase in internet use over time. In general, internet use decreased with episodic memory impairment. In addition to these effects, the effect of episodic memory on the rate of increase in internet use over time is lower in younger cohorts. These results indicate that younger cohorts of older adults are more likely to maintain internet use as they continue to age and therefore could better utilize technology for communication, social interactions and health interventions.

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Prevalence of Multiple Sensory Deficits in Older Adults in BLSA and ARIC Studies

Innovation in Aging ◽

10.1093/geroni/igaa057.2921 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 804-805

Author(s):

Nicole Armstrong ◽

Jennifer Deal ◽

Hang Wang ◽

Jennifer Schrack ◽

Qu Tian ◽

...

Keyword(s):

Older Adults ◽

Vision Loss ◽

Age Groups ◽

Adverse Outcomes ◽

Atherosclerosis Risk In Communities ◽

Sensory Deficits ◽

Olfactory Loss ◽

Atherosclerosis Risk ◽

Baltimore Longitudinal Study ◽

Using Data

Abstract Individual sensory deficits have been associated with adverse outcomes, including dementia, in older adults. Using data from the Baltimore Longitudinal Study of Aging (BLSA) (N=259) and Atherosclerosis Risk in Communities Study (ARIC) (N=962), we examined the prevalence of one, two, or three sensory deficits (hearing, vision, and olfaction) among older adults ≥70 years. Any hearing loss was the most prevalent sensory deficit (70-79 year-olds: 41.3% [BLSA] and 51.2% [ARIC]; ≥80 year-olds: 82.6% [BLSA] and 74.2% [ARIC]), followed by vision loss and olfactory loss. Hearing and vision impairments were more prevalent than hearing and olfactory losses as well as vision and olfactory losses in both age groups and studies There were few people with deficits in all three senses (70-79 year-olds: 3.3% [BLSA] and 2.0% [ARIC]; ≥80 year-olds: 5.8% [BLSA] and 7.4% [ARIC]). Further research should investigate the potential impact of multisensory impairments on older adults.

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Smartphone-Based Prediction Model for Postoperative Cardiac Surgery Outcomes Using Preoperative Gait and Posture Measures

Sensors ◽

10.3390/s21051704 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1704

Author(s):

Rahul Soangra ◽

Thurmon Lockhart

Keyword(s):

Cardiovascular Disease ◽

Older Adults ◽

Cardiac Surgery ◽

Regression Model ◽

Mobile Phone ◽

Gait Speed ◽

Adverse Outcomes ◽

Postoperative Outcomes ◽

Mortality And Morbidity ◽

Prediction Of Mortality

Gait speed assessment increases the predictive value of mortality and morbidity following older adults’ cardiac surgery. The purpose of this study was to improve clinical assessment and prediction of mortality and morbidity among older patients undergoing cardiac surgery through the identification of the relationships between preoperative gait and postural stability characteristics utilizing a noninvasive-wearable mobile phone device and postoperative cardiac surgical outcomes. This research was a prospective study of ambulatory patients aged over 70 years undergoing non-emergent cardiac surgery. Sixteen older adults with cardiovascular disease (Age 76.1 ± 3.6 years) scheduled for cardiac surgery within the next 24 h were recruited for this study. As per the Society of Thoracic Surgeons (STS) recommendation guidelines, eight of the cardiovascular disease (CVD) patients were classified as frail (prone to adverse outcomes with gait speed ≤ 0.833 m/s) and the remaining eight patients as non-frail (gait speed > 0.833 m/s). Treating physicians and patients were blinded to gait and posture assessment results not to influence the decision to proceed with surgery or postoperative management. Follow-ups regarding patient outcomes were continued until patients were discharged or transferred from the hospital, at which time data regarding outcomes were extracted from the records. In the preoperative setting, patients performed the 5-m walk and stand still for 30 s in the clinic while wearing a mobile phone with a customized app “Lockhart Monitor” available at iOS App Store. Systematic evaluations of different gait and posture measures identified a subset of smartphone measures most sensitive to differences in two groups (frail versus non-frail) with adverse postoperative outcomes (morbidity/mortality). A regression model based on these smartphone measures tested positive on five CVD patients. Thus, clinical settings can readily utilize mobile technology, and the proposed regression model can predict adverse postoperative outcomes such as morbidity or mortality events.

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