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1 Linda P. Fried, MD, MPH Dean Mailman School of Public Health Columbia University Frailty and Aging: The last 10 years of aging research, and next steps

Frailty and Aging: The last 10 years of aging …regist2.virology-education.com/presentations/2019/HIV...12 The whole is greater than the sum of the parts: 1. Aggregate phenotype predicted

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Page 1: Frailty and Aging: The last 10 years of aging …regist2.virology-education.com/presentations/2019/HIV...12 The whole is greater than the sum of the parts: 1. Aggregate phenotype predicted

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Linda P. Fried, MD, MPH

Dean

Mailman School of Public Health

Columbia University

Frailty and Aging: The last 10 years of aging research, and next steps

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1980’s: frailty = old old age; multimorbidity; disability

1990’s: differentiating aging from disease, multimorbidity and disability, and began

differentiating frailty.

2000’s: frailty as a distinct geriatric syndrome, vulnerable state, distinct pathophysiology

2009 and beyond:

• Frailty syndrome = emergent property of dysregulated complex system; energetics etiology

• Frailty syndrome = 1/resilience;

• Accumulated damage may be one pathway that triggers the endpoint of frailty syndrome.

2015 and beyond: the new geroscience: seeking shared pathways to frailty, aging and

disease.

The evolution of understanding frailty as a geriatric syndrome:

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• Declines in lean body mass, strength

• Weight loss

• Loss of endurance

• Slowed walking performance

• Relative inactivity

• Decreased balance and mobility

Why do these co-occur on the same list?

Commonly Identified Features of Physical Frailty – among Geriatricians 1990’s

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(Fried and Walston, 1998)

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Phenotype of Frailty, as operationalized in CHS

Non-frail: 0/5 Pre-frail: 1 or 2/5 Frail: 3, 4, or 5/5

(Fried LP et al, JGMS 2001)

Characteristic CHS Study Measure

Shrinking Unintentional weight loss >10

lbs, past year; F/U: ≥ 5%

weight loss over 1 year

Weakness Grip strength: lowest 20%

Slowness Walking time: lowest 20%

Poor endurance Exhaustion (self report)

Low activity Kcal/week : lowest 20%

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A distinct frailty phenotype is prevalent: 2015

>65, community dwelling, US: - 15% are frail;

- prevalence increases geometrically with age, from 9% 65-69 to 38% 90+

- 45% prefrail

(Bandeen Roche et al, J Gerontol Med Sci 2015; NHATS)

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Fried 2001

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• Cardiovascular Health Study

- men and women 65-101 years at baseline

• Women’s Health and Aging Studies I & II (WHAS)combined:

- Women 70-79 years, drawn from:

- WHAS I: 1/3 most disabled

- WHAS II: 2/3’s least disabled

Frailty phenotype validated in U.S. community-dwelling cohorts

(Fried LP et al, J Ger Med Sci, 2001; Bandeen-Roche et al 2006)

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Fried 2001

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(Significantly more than any 1 or 2 criteria; independent of Diseases)

- Mortality, disability, falls, hospitalization, surgery, burns, slow recovery –

(Fried 2001)

Risk: >3 criteria present predict

high risk of adverse outcomes

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20 characteristics (of 78 assessed) significantly, independently and jointly predict mortality:

• Demographics: Age (over 85), male

• Lifestyle: physical activity, smoking, elevated SBP, fasting glucose

• Clinical disease: CHF

• Physical function: difficulty with 2 or more IADLs; not walking speed

• *Objective noninvasive measures: major ECG abnormality, abnormal LVEF and Aortic stenosis (echo); max stenosis of internal carotid artery (ultrasound); FVC

• *Biochemical measures of disease: creatinine, albumin;

• *Cognitive function: DSS

Predictors of 5 year mortality in older adults- Cardiovascular Health Study -

(Fried LP et al; JAMA 1998)

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The whole is greater than the sum of the parts:

1. Aggregate phenotype predicted mobility disability and other outcomes better than individual markers – eg,walking speed, strength, weight loss, physical activity, exhaustion

2. No tendency for distinct subsets of items to aggregate in different classes

3. Rather, stepwise progression in prevalence of each criterion across classes, consistent with overall aggregation

• Follow-on studies: phenotype identifies specific pathophysiologic biomarkers and potential processes

• Cross-validation in multiple studies

Frailty phenotype is consistent with definition of a clinical syndrome

(Bandeen-Roche K, et al, J Ger Med Sci 2005)

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• Clinically observable presentation- Not the same as multimorbidity, disability, or extreme old age

- Increases with age; females>males; blacks>whites

• Whole greater than sum of parts: behaves as a clinical syndrome

• Predicts disability and mortality independent of diseases; step wise increased risk in association with number of criteria present

• Inflammation and inflammatory diseases associated with frailty

• Natural history:Those who are prefrail at high risk of becoming frail

Most severe phases: predeath, and not amenable to treatment

Frailty phenotype: Aggregate results of studies, 1998-2008

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• Probing the bottom of the iceberg

2009-2019: Frailty and aging

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Conceptual figure of syndrome of frailty

Weight Loss

Strength

Exhaustion/ exercise tolerance

Lower Motor performance

physical

activity

Clinical

Presentation •

••

•>

Physiologic Vulnerability

Physiologic Dysregulation

Cellular

Function,

Molecular and

Genetic

Characteristics

Phenotype of Frailty

Fried LP, Hadley EC, Walston JD, et al. SAGE KE, 2005

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Inflammation: C-Reactive Protein and Frailty, CHS

0

1

2

3

4

5

6

Not Frail

(N=2285)

Intermediate

(N=2141)

Frail (N=299)

ng/ml

Walston, et al. Archives of Internal Medicine,.2002

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HPA Axis: Mean diurnal salivary cortisol profiles over 24-hour period; WHAS II women 80-90 years

Varadhan et al, J Gerontol A Biol Sci Med Sci, 2008

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• Sarcopenia

• Chronic low grade inflammation and immune activation, low platelets, anemia

• ANS: decreased heart rate variability

• Endocrine dysregulation

- Carbohydrate metabolism: Glucose, insulin; elevated IR-HOMA, Hgb A1C >8%;metabolic syndrome

- Energy metabolism: higher fasting leptin, resistin, GH; lower fasting ghrelin, adiponectin, GLP-1; u-shaped association with IGF-1

- Adrenocorticoids/HPA: cortisol elevation

- Low T, E, DHEAs(Kalyani, 2011, 12; Walston 2002; Leng 2005; Cappola 2007; Varadhan 2010; Chaves 2009)

Frailty phenotype associated with biomarkers of dysregulated physiologic systems: window into potential pathological pathways

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Biomarkers associated with frailty create

a picture of multisystem dysregulation

• Many disease specific; also aging-related. Cause? Outcome?

• Are insulin resistance and inflammation shared aging-related pathways?

• Underlying biology shaping biomarker dysregulation?

• Shared pathways to disease and frailty?

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How to understand vulnerability to

stressors and high rates of adverse

health outcomes associated with frailty?

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Response to challenge: altered Glucose-Insulin Dynamics in Frail (vs. prefrail and nonfrail) in response to Glucose Tolerance Test(WHAS II, 73 nondiabetic women 84-93 years)

Kalyani et al. JGMS; 2011

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• Frail women had 43% slower PCr recovery, and prefrail 15% slower, than nonfrail; MRS.

• Implication: dysregulated energy production could contribute to the dysregulation of multiple physiologic systems associated with the frailty phenotype, as well as their mutual regulation of each other, and to diminished robustness required to maintain homeostasis under stress.

(Varadhan R, Russ DW, Gabr RE….Bandeen-Roche K, Fried LP. 2019. J Frailty Aging)

Phosphocreatinine (PCr) recovery after 30- second isometric calf exercise, women 84-93

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Prevalence of Frailty for 4 Hormone Deficiencies: crosssectional, WHAS II

Non-Frail

Pre-Frail

Frail

0

10

20

30

40

Low IGF-1(<86.6ug/L)

DHEAS(<22

ug/dL)

Free T(<.07

ng/dL)

Free E2(<.08

pg/mL)

Non-Frail

Pre-Frail

Frail

Pro

port

ion o

f S

am

ple

p<0.01 p=0.16 p=0.15 p=0.66

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(Left panel) Time to 95% recovery of PCr after mild exercise;

(Right panel) area under the curve (AUC) of glucose levels over time after an

initial glucose load in the glucose tolerance test(Varadhan, Russ et al. 2018)

Response to isometric exercise and GTT challenge tests, women 84-93, WHAS II

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• Phenotype: of dysregulated energetics

• Our stimulus-response challenge tests in women 83-95 years, frail v. prefrail v. nonfrail

- MR Spec: energy repletion slower; decreased mitochondrial function

- Insulin resistance: utilization of energy inefficient or impaired

- Ghrelin: less appetite stimulation; leptin resistant

Implications re: energy homeostasis, dysregulation and frailty syndrome

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Implications:

• Biology of vulnerability

• Preclinical phase of frailty, perhaps along a continuum from resilient to frail

• Aligned findings in stress responses in multiple systems consistent with multisystem nature of frailty

Post-challenge findings better differentiate physiologic status of frail v. prefrail and nonfrail

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Implications of multiple dysregulated systems associated with phenotype of frailty

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Frailty emerges when multiple physiologic systems abnormal, out of 8 systems evaluated

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

Fre

qu

en

cy

Dis

tribu

tion

1 2 3

Combined WHAS I and WHAS II (Age 70-79)

01

2

3

4

0

12

3

4

43

2

1

0

>=5

>=5

>=5

Fried, Xue et al, 2008

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Associations of the Number of Physiologic Systems at Abnormal Levels with Frailty*, WHAS I/II

Frail vs. Non-Frail

Number of Deficits OR (95% C.I.)

0 1

1-2 4.8#

3-4 11.0+

5 26.0+

* adjusting for age, race, education, and number of chronic

diseases + p-value<0.01 ; # p-value < 0.05 (Fried et al 2009)

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Evidence for Nonlinearity of Relationship of Number of Systems Abnormal with Frailty, WHAS I/II

0

0.1

0.2

0.3

0.4

0.5

0 1 2 3 4 >=5

Number of Deficits

Pre

vale

nce o

f F

rail

ty

(Fried et al 2009)

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• Nonlinearity: whole greater than sum of parts

• Mutual regulation of component modular systems; redundancy

• Emergent property: threshold of dysregulation below which

organism functions at lower level

• Function at a suboptimal level may only be revealed under stress.

• Underpinning of robust and resilient organism

• Essential for maintenance of homeostasis

• Links physiology to clinical presentation

Nonlinearity: a characteristic of complex dynamicalsystems

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Altered hormones;

glucose intolerance SNS activity

Hematopoiesis

Sarcopenia

Free radicals

Cellular senescence DNA damage; decreased

DNA repair capacity, energy

available to cellsAltered telomeres

Mitochondrial Dysfunction

Genetic Variation

Inflammation

PHYSIOLOGIC

MOLECULAR

& GENETIC

Multisystem Dysregulation and Interactions May

Underlie Loss of Reserves, Frailty

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Frailty: threshold dysregulation of integrated complex dynamical system

65 100Age

Ph

ysio

log

ical

Para

mete

r

Frailty Onset

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Is frailty syndrome a distinct process of accelerated aging?Distinct from disease?

The inverse of resilience?

Shared etiologic factors?

Final common pathway of disease?

Interacting with disease?

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Complex dynamical system:

Implications for treatment of only one

system in a complex system

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(Fried LP 2016, in Cold Spring Harb Perspect Med 2016; 6: a025916)

Physical Activity: A model intervention for human frailty

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38Fried LP 2016, in Cold Spring Harb Perspect Med 2016; 6: a025916

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Physical Activity: Tuning the energetics system that appears dysregulated in frailty

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Prevention of Frailty and Frailty Progression

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(Cesari, Vellas et al 2015)

Exercise associated with lower frailty incidence: LIFE RCT PA intervention pilot: GLM showing adjusted prevalence of frailty or number of frailty criteria

(N=424; age 70-89; 69% women, sedentary, high risk mobility disability)

Baseline 6 months 12 months

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Ultimately, successful prevention of

frailty involves intervening on both

phenotype and the systems biology

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• Reserves

• Homeostasis

• Resilience

Frailty, 2019: a window into the biology of vulnerability