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Background Intrinsic Capacity in Older Adults Living with HIV through a health promotion resource A. Caselgrandi 1 , A. Malagoli 1 , J. Milic 1 , M. Bloch 2 , E. Spencer 2 , B. Gallagher 2 , G. Lui 3 , C. Cheung 3 , M. Mancini 1 , V. Masi 1 , E. Bardi 1 , M. Corni 1 , M. Menozzi 1 , S. Zona 1 , F. Carli 1 , C. Mussini 1 , G. Guaraldi 1 My Smart Age with HIV (MySAwH) is a multi-center prospective ongoing study designed to empower older adults living with HIV (OALWH) to achieve healthy aging. It is based on evaluation of HIV variables, a standardized comprehensive geriatric assessment and patient-related outcomes gathered at study visit and by mean of an Internet of Medical thing framework (IoMT) which include a fitness tracking wearable device and a dedicated smart phone app (MySAwH App). 1 Modena HIV Metabolic Clinic, University of Modena e Reggio Emilia; 2 Department of Clinical Research, Holdsworth House Medical Practice, Sydney; 3 Faculty of Medicine, The Chinese University of Hong Kong Objective Paradigm shift from disease to functional ability assessment in OALWH P272 We aimed to characterise longitudinally negative and positive health features in OALWH in different geographical regions. Negative health features were conceptualised as deficit accumulation and described by mean of Frailty and Healthy Index assessed in the clinic (conceptual model 1). Positive health features were conceptualised as functional ability and described by Intrinsic Capacity and Environment assessed using Internet of Medical thing framework (conceptual model 2). Corresponding author: Giovanni Guaraldi e-mail: [email protected] § This study emphasises the need of a multidimensional evaluation of HIV disease and health status of OALWH collecting disease- centered and functional-centered constructs both at the clinic and using a IoMT framework. § MySAwH offers insight regarding the paradigm shift from disease to functional ability assessment in OALWH. § We observed significant heterogeneity in OALWH recruited in Italy, Australia and China which underline the need to consider in aging assessment different geographical determinants of health including anthropometric and environmental variables. § During 9 month follow up interim analyses we did not observed any significant change in FI, HI, IC and we observed an expected worsening of PI (mainly related to professional retirement and higher fragility in family cohesion). Assessment of Deficit accumulation Assessment of Functional Ability HIV Frailty Healthy Index Intrinsic Capacity Enviorment Quality of Life Healthy Aging Results Baseline Follow-up Total N = 224 Modena N = 117 (52.23%) Sydney N = 82 (36.61%) Hong Kong N = 25 (11.16%) P Total N = 224 Modena N = 117 (52.23%) Sydney N = 82 (36.61%) Hong Kong N = 25 (11.16%) P Mean (SD) or N. (%) DEMOGRAPHIC AND ANTHROPOMETRIC VARIABLES Age 58.57 (5.74) 57.65 (5.23) 59.12 (5.81) 61.11 (6.92) 0.02 58.57 (5.74) 57.65 (5.23) 59.12 (5.81) 61.11 (6.92) 0.02 Men 190 (86.76%) 87 (76.32%) 80 (100%) 23 (92%) <0.01 110 (80.29%) 87 (77.68%) 80 (100%) 23 (92%) 0.17 BMI (Kg/m 2 ) 25.13 (4.38) 24.59 (4.12) 26.36 (4.75) 23.59 (3.27) 0.002 25.23 (4.06) 24.66 (3.82) 26.57 (4.33) 23.75 (3.18) <0.01 HIV-RELATED VARIABLES HIV viral load undetectability 204 (91.07%) 114 (97.44%) 66 (80.49%) 24 (96%) <0.01 191 (86.82%) 111 (95.69%) 56 (70.89%) 24 (96%) <0.01 Current CD 4 (cells/µl) 658.5 (480.25- 817.75) 675 (493.25- 819.5) 643.5 (484.25-822) 657.5 (372- 736) 0.36 650 (482.5- 842.5) 667 (498.5- 873) 640.5 (484.25- 821.25) 567 (341-664) 0.09 CD4/CD8 0.9 (0.45) 0.88 (0.39) 0.97 (0.55) 0.83 (0.31) 0.73 1.03 (2.15) 0.89 (0.39) 1.32 (3.53) 0.79 (0.3) 0.39 COMORBIDITIES Chronic Kidney Disease 28 (13.02%) 19 (16.24%) 7 (9.46%) 2 (8.33%) 0.30 34 (15.32%) 29 (25%) 4 (4.94%) 1 (4%) <0.01 Osteoporosis 39 (18.14%) 33 (28.21%) 5 (6.76%) 1 (4.17%) <0.01 43 (19.46%) 35 (30.17%) 5 (6.25%) 3 (12%) <0.01 Cardiovascular disease 27 (12.56%) 8 (6.84%) 17 (22.97%) 2 (8.33%) <0.01 26 (11.71%) 10 (8.62%) 12 (14.81%) 4 (16%) 0.32129 Diabetes Mellitus type 2 45 (20.93%) 24 (20.51%) 7 (9.46%) 14 (58.33%) <0.01 52 (23.42%) 29 (25%) 6 (7.41%) 17 (68%) <0.01 Hypertension 91 (42.33%) 61 (52.14%) 16 (21.62%) 14 (58.33%) <0.01 109 (49.1%) 72 (62.07%) 24 (29.63%) 13 (52%) <0.01 Cancer 9 (4.19%) 1 (0.85%) 8 (10.81%) 0 (0%) <0.01 12 (5.41%) 6 (5.17%) 5 (6.17%) 1 (4%) 0.9 Chirrosis 16 (7.44%) 13 (11.11%) 2 (2.7%) 1 (4.17%) 0.07 16 (7.21%) 13 (11.21%) 2 (2.47%) 1 (4%) 0.05 COPD 12 (5.58%) 7 (5.98%) 5 (6.76%) 0 (0%) 0.43 17 (7.66%) 9 (7.76%) 8 (9.88%) 0 (0%) 0.26 Multimorbidity 34 (15.18%) 22 (18.8%) 7 (8.54%) 5 (20%) 0.1 39 (17.41%) 26 (22.22%) 7 (8.54%) 6 (24%) 0.02 GERIATRIC ASSESSMENT IADL score 0.42 (0.49) 0.8 (0.4) 0.01 (0) 0.01 (0) <0.01 0.65 (0.47) 0.89 (0.31) N/A 0.01 (0) <0.01 Falls 22 (10.05%) 11 (9.65%) 9 (11.25%) 2 (8%) 0.87 6 (4.38%) 2 (1.79%) N/A) 4 (16%) <0.01 Hearing Handicap Inventory in the Elderly 6.11 (13.74) 4.14 (10.87) 9.01 (17.55) 4.25 (7.21) 0.91 4.44 (11.16) 4.37 (11.94) N/A 4.67 (8.68) 0.65 Urogenital Distress Inventory 6 (UDI 6) 5.13 (9.8) 3.36 (10.64) 6.75 (10.8) 2.36 (1.75) <0.01 3.24 (8.95) 3.68 (11.52) N/A 2.6 (2) <0.01 GDS score 0.17 (0-0.5) 0.17 (0-0.33) 0.17 (0-0.33) 0.5 (0.17-1) <0.01 0.17 (0-0.5) 0.17 (0-0.5) N/A 0.33 (0.17- 0.83) 0.1 Frailty Index (FI) 0.29 (0.1) 0.29 (0.12) 0.29 (0.07) 0.33 (0.09) 0.12 0.3 (0.1) 0.3 (0.12) 0.3 (0.07) 0.33 (0.08) 0.03 Health Index (HI) 63.65 (11.5) 61.68 (10.84) 68.49 (11.28) 56.67 (10.37) <0.01 64.73 (12.02) 62.85 (11.25) 70.02 (11.36) 54.75 (20.63) <0.01 Quality of life (QoL) EQ-5D-5L 0.86 (0.15) 0.86 (0.14) 0.84 (0.18) 0.92 (0.1) 0.01 0.9 (0.08) 0.9 (0.08) N/A 0.9 (0.1) 0.92 Intrinsic Capacity (IC) Baseline Follow up Protective Index (PI) Baseline Follow up Total N = 224 P Total N = 224 P Total N = 224 P Total N = 224 P Mean (SD) Mean (SD) Median step 0.25 (0.11) 0.88 0.27 (0.1) 0.23 Education 0.25 (0.44) <0.01 0.21 (0.41) <0.01 SPPB 0.33 (0.08) <0.01 0.34 (0.06) <0.01 Profession 0.48 (0.5) <0.01 0.3 (0.46) <0.01 Locomotion 0.3 (0.08) 0.21 0.32 (0.07) 0.81 Income 0.33 (0.47) 0.81 0.19 (0.39) <0.01 Eating behaviour 0.56 (0.24) <0.01 0.62 (0.22) <0.01 Marital status 0.32 (0.47) <0.01 0.29 (0.45) <0.01 Median sleep hours 0.59 (0.17) 0.08 0.63 (0.13) 0.1 Living alone 0.46 (0.5) <0.01 0.38 (0.49) <0.01 Sleep quality 0.53 (0.21) <0.01 0.58 (0.25) 0.95 Excercise 0.95 (0.23) 0.15 0.89 (0.32) 0.03 Sexual function 0.44 (0.28) <0.01 0.52 (0.27) <0.01 Alcohol use 0.58 (0.5) <0.01 0.6 (0.49) <0.01 Hand grip force 0.5 (0.15) <0.01 0.5 (0.15) <0.01 Smoking 0.9 (0.3) <0.01 0.93 (0.26) <0.01 Vitality 0.5 (0.14) <0.01 0.53 (0.15) <0.01 Intra-Venous Drug Use (IVDU) 0.95 (0.22) <0.01 0.95 (0.23) <0.01 Hearing 0.93 (0.16) 0.91 0.95 (0.13) 0.661 Nationality 0.46 (0.59) <0.01 0.58 (0.63) <0.01 Sensory 0.07 (0.16) 0.91 0.05 (0.13) 0.66 PI 0.49 (0.2) <0.01 0.44 (0.18) <0.01 Neurocognitive 0.6 (0.2) <0.01 0.62 (0.22) <0.01 GDS 0.17 (0-0.5) <0.01 0.17 (0-0.5) 0.1 Cognition 0.36 (0.15) <0.01 0.39 (0.2) <0.01 CES-D 0.77 (0.19) 0.01 0.75 (0.2) 0.43 Stress 0.57 (0.26) <0.01 0.49 (0.27) <0.01 Psychosocial 0.68 (0.19) <0.01 0.62 (0.22) <0.01 IC 0.43 (0.07) <0.01 0.43 (0.09) 0.01 Social Protection Enviorment 2015 Methods Frailty (assessed by 43- item Frailty index) Healthy Index (assessed by 47-item Healthy index) HIV Quality of life Body composition (3) Metabolic (23) Comorbidities (8) HIV- related variables (7) Others (2) HIV- related variables (7) Social vulnerability (6) Physical (19) Neuro-cognitive (3) Disease- related variables (12) Model 1: Disease-Centered Construct Intrinsic capacity (5 domains) Environment (assessed by 10-item Protective index) Healthy aging Locomotion (2) Vitality (5) Sensory (1) Cognition (2) Psychosocial (2) Lifestyle (3) Education & occupation (2) Marital status & nationality (2) Annual income & living (2) Risk of HIV (1) Model 2: Functional-Centered Construct This is a 9 months follow up interim analyses of OALWH recruited in MYSAWH study in Italy, Australia and Hong Kong. Inclusion criteria were: aged>50 years, undergoing stable ART. Frailty Index included deficits evaluation, and HIV variables, assessed by health professionals at the clinic. Healthy index comprised a composite of deficits evaluation and HIV variables as well as self-reported outcomes assessed through questionnaires, fitness tracking device and MySAwH App. Intrinsic capacity fully derived from self- reported outcomes assessed through questionnaires, fitness tracking device and MySAwH App. Protective index was evaluated with questionnaire and MySAwH App. *In brackets are shown the number of items considered for each index’s domain. § Regardless of an increase in non-infectious co-morbidities the non-significant progression of FI can be considered as a positive outcome. These data need to be confirmed at the end of the study (18 months follow up). The presence of a Health Coach that provided information about HI/IC change motivated patients to be personally empowered to improve life style. § The key result of this study was the possibility to operationalize Healthy Aging into a IC and PI assessment tool. Measuring Healthy Aging has the potential to substantially modify the way in which clinical practice is conducted focusing on residual wellness rather than a “reactive” identification and treatment of deficits. Conclusions

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Page 1: IC MySAwH Glasgow finalhivglasgow.org/wp-content/uploads/2018/11/P272.pdfBackground Intrinsic Capacity in Older Adults Living with HIV through a health promotion resource A. Caselgrandi1,

Background

Intrinsic Capacity in Older Adults Living with HIV through a health promotion resourceA. Caselgrandi1, A. Malagoli1, J. Milic1, M. Bloch2, E. Spencer2, B. Gallagher2, G. Lui3, C. Cheung3, M. Mancini1, V. Masi1, E. Bardi1, M. Corni1, M. Menozzi1, S. Zona1, F.

Carli1, C. Mussini1, G. Guaraldi1

My Smart Age with HIV (MySAwH) is a multi-center prospectiveongoing study designed to empower older adults living with HIV(OALWH) to achieve healthy aging. It is based on evaluation of HIVvariables, a standardized comprehensive geriatric assessment andpatient-related outcomes gathered at study visit and by mean ofan Internet of Medical thing framework (IoMT) which include afitness tracking wearable device and a dedicated smart phoneapp (MySAwH App).

1 Modena HIV Metabolic Clinic, University of Modena e Reggio Emilia; 2 Department of Clinical Research, Holdsworth House Medical Practice, Sydney; 3 Faculty of Medicine, The Chinese University of Hong Kong

Objective

ParadigmshiftfromdiseasetofunctionalabilityassessmentinOALWH

P272

We aimed to characterise longitudinally negative and positivehealth features in OALWH in different geographical regions.Negative health features were conceptualised as deficitaccumulation and described by mean of Frailty and Healthy Indexassessed in the clinic (conceptual model 1).Positive health features were conceptualised as functional abilityand described by Intrinsic Capacity and Environment assessedusing Internet of Medical thing framework (conceptual model 2).

Corresponding author:GiovanniGuaraldie-mail:[email protected]

§ This study emphasises the need of a multidimensional evaluationof HIV disease and health status of OALWH collecting disease-centered and functional-centered constructs both at the clinicand using a IoMT framework.

§ MySAwH offers insight regarding the paradigm shift from diseaseto functional ability assessment in OALWH.

§ We observed significant heterogeneity in OALWH recruited inItaly, Australia and China which underline the need to consider inaging assessment different geographical determinants of healthincluding anthropometric and environmental variables.

§ During 9 month follow up interim analyses we did not observedany significant change in FI, HI, IC and we observed an expectedworsening of PI (mainly related to professional retirement andhigher fragility in family cohesion).

Assessment of Deficit accumulation

Assessment of Functional Ability

HIV

FrailtyHealthy Index

IntrinsicCapacity

Enviorment

Quality of Life Healthy Aging

ResultsBaseline Follow-up

TotalN = 224

ModenaN = 117 (52.23%)

SydneyN = 82

(36.61%)

Hong KongN = 25

(11.16%)P Total

N = 224

ModenaN = 117 (52.23%)

SydneyN = 82

(36.61%)

Hong KongN = 25

(11.16%)P

Mean (SD) or N. (%)DEMOGRAPHIC AND ANTHROPOMETRIC VARIABLESAge 58.57 (5.74) 57.65 (5.23) 59.12 (5.81) 61.11 (6.92) 0.02 58.57 (5.74) 57.65 (5.23) 59.12 (5.81) 61.11 (6.92) 0.02

Men 190 (86.76%) 87 (76.32%) 80 (100%) 23 (92%) <0.01 110 (80.29%) 87 (77.68%) 80 (100%) 23 (92%) 0.17

BMI (Kg/m2) 25.13 (4.38) 24.59 (4.12) 26.36 (4.75) 23.59 (3.27) 0.002 25.23 (4.06) 24.66 (3.82) 26.57 (4.33) 23.75 (3.18) <0.01

HIV-RELATED VARIABLESHIV viral load undetectability

204 (91.07%) 114 (97.44%) 66 (80.49%) 24 (96%) <0.01 191 (86.82%) 111 (95.69%) 56 (70.89%) 24 (96%) <0.01

Current CD 4 (cells/µl)

658.5 (480.25-817.75)

675 (493.25-819.5)

643.5 (484.25-822)

657.5 (372-736)

0.36 650 (482.5-842.5)

667 (498.5-873)

640.5 (484.25-821.25)

567 (341-664) 0.09

CD4/CD8 0.9 (0.45) 0.88 (0.39) 0.97 (0.55) 0.83 (0.31) 0.73 1.03 (2.15) 0.89 (0.39) 1.32 (3.53) 0.79 (0.3) 0.39COMORBIDITIESChronic Kidney Disease

28 (13.02%) 19 (16.24%) 7 (9.46%) 2 (8.33%) 0.30 34 (15.32%) 29 (25%) 4 (4.94%) 1 (4%) <0.01

Osteoporosis 39 (18.14%) 33 (28.21%) 5 (6.76%) 1 (4.17%) <0.01 43 (19.46%) 35 (30.17%) 5 (6.25%) 3 (12%) <0.01

Cardiovascular disease

27 (12.56%) 8 (6.84%) 17 (22.97%) 2 (8.33%) <0.01 26 (11.71%) 10 (8.62%) 12 (14.81%) 4 (16%) 0.32129

Diabetes Mellitus type 2

45 (20.93%) 24 (20.51%) 7 (9.46%) 14 (58.33%) <0.01 52 (23.42%) 29 (25%) 6 (7.41%) 17 (68%) <0.01

Hypertension 91 (42.33%) 61 (52.14%) 16 (21.62%) 14 (58.33%) <0.01 109 (49.1%) 72 (62.07%) 24 (29.63%) 13 (52%) <0.01

Cancer 9 (4.19%) 1 (0.85%) 8 (10.81%) 0 (0%) <0.01 12 (5.41%) 6 (5.17%) 5 (6.17%) 1 (4%) 0.9Chirrosis 16 (7.44%) 13 (11.11%) 2 (2.7%) 1 (4.17%) 0.07 16 (7.21%) 13 (11.21%) 2 (2.47%) 1 (4%) 0.05

COPD 12 (5.58%) 7 (5.98%) 5 (6.76%) 0 (0%) 0.43 17 (7.66%) 9 (7.76%) 8 (9.88%) 0 (0%) 0.26Multimorbidity 34 (15.18%) 22 (18.8%) 7 (8.54%) 5 (20%) 0.1 39 (17.41%) 26 (22.22%) 7 (8.54%) 6 (24%) 0.02

GERIATRIC ASSESSMENTIADL score 0.42 (0.49) 0.8 (0.4) 0.01 (0) 0.01 (0) <0.01 0.65 (0.47) 0.89 (0.31) N/A 0.01 (0) <0.01Falls 22 (10.05%) 11 (9.65%) 9 (11.25%) 2 (8%) 0.87 6 (4.38%) 2 (1.79%) N/A) 4 (16%) <0.01

Hearing Handicap Inventory in the Elderly

6.11 (13.74) 4.14 (10.87) 9.01 (17.55) 4.25 (7.21) 0.91 4.44 (11.16) 4.37 (11.94) N/A 4.67 (8.68) 0.65

Urogenital Distress Inventory 6 (UDI 6)

5.13 (9.8) 3.36 (10.64) 6.75 (10.8) 2.36 (1.75) <0.01 3.24 (8.95) 3.68 (11.52) N/A 2.6 (2) <0.01

GDS score 0.17 (0-0.5) 0.17 (0-0.33) 0.17 (0-0.33) 0.5 (0.17-1) <0.01 0.17 (0-0.5) 0.17 (0-0.5) N/A 0.33 (0.17-0.83)

0.1

Frailty Index (FI) 0.29 (0.1) 0.29 (0.12) 0.29 (0.07) 0.33 (0.09) 0.12 0.3 (0.1) 0.3 (0.12) 0.3 (0.07) 0.33 (0.08) 0.03

Health Index (HI) 63.65 (11.5) 61.68 (10.84) 68.49 (11.28) 56.67 (10.37) <0.01 64.73 (12.02) 62.85 (11.25) 70.02 (11.36) 54.75 (20.63) <0.01

Quality of life (QoL)EQ-5D-5L 0.86 (0.15) 0.86 (0.14) 0.84 (0.18) 0.92 (0.1) 0.01 0.9 (0.08) 0.9 (0.08) N/A 0.9 (0.1) 0.92

IntrinsicCapacity

(IC)

Baseline Follow upProtective

Index(PI)

Baseline Follow upTotal

N = 224 P Total

N = 224 PTotal

N = 224 PTotal

N = 224 P

Mean (SD) Mean (SD)Median step 0.25 (0.11) 0.88 0.27 (0.1) 0.23 Education 0.25 (0.44) <0.01 0.21 (0.41) <0.01

SPPB 0.33 (0.08) <0.01 0.34 (0.06) <0.01 Profession 0.48 (0.5) <0.01 0.3 (0.46) <0.01

Locomotion 0.3 (0.08) 0.21 0.32 (0.07) 0.81 Income 0.33 (0.47) 0.81 0.19 (0.39) <0.01

Eatingbehaviour

0.56 (0.24) <0.01 0.62 (0.22) <0.01 Marital status 0.32 (0.47) <0.01 0.29 (0.45) <0.01

Median sleephours

0.59 (0.17) 0.08 0.63 (0.13) 0.1 Living alone 0.46 (0.5) <0.01 0.38 (0.49) <0.01

Sleep quality 0.53 (0.21) <0.01 0.58 (0.25) 0.95 Excercise 0.95 (0.23) 0.15 0.89 (0.32) 0.03

Sexual function 0.44 (0.28) <0.01 0.52 (0.27) <0.01 Alcohol use 0.58 (0.5) <0.01 0.6 (0.49) <0.01

Hand grip force 0.5 (0.15) <0.01 0.5 (0.15) <0.01 Smoking 0.9 (0.3) <0.01 0.93 (0.26) <0.01

Vitality 0.5 (0.14) <0.01 0.53 (0.15) <0.01 Intra-Venous Drug Use (IVDU)

0.95 (0.22) <0.01 0.95 (0.23) <0.01

Hearing 0.93 (0.16) 0.91 0.95 (0.13) 0.661 Nationality 0.46 (0.59) <0.01 0.58 (0.63) <0.01

Sensory 0.07 (0.16) 0.91 0.05 (0.13) 0.66PI 0.49 (0.2) <0.01 0.44 (0.18) <0.01

Neurocognitive 0.6 (0.2) <0.01 0.62 (0.22) <0.01

GDS 0.17 (0-0.5) <0.01 0.17 (0-0.5) 0.1

Cognition 0.36 (0.15) <0.01 0.39 (0.2) <0.01

CES-D 0.77 (0.19) 0.01 0.75 (0.2) 0.43

Stress 0.57 (0.26) <0.01 0.49 (0.27) <0.01

Psychosocial 0.68 (0.19) <0.01 0.62 (0.22) <0.01

IC 0.43 (0.07) <0.01 0.43 (0.09) 0.01

SocialProtection

Enviorment2015

Methods

Frailty(assessed by 43-item Frailty index)

Healthy Index (assessed by

47-item Healthy index)

HIV

Quality of life

Body composition

(3)

Metabolic (23)

Comorbidities(8)

HIV-related

variables (7)

Others (2)

HIV-related

variables (7)

Social vulnerability

(6)

Physical (19)

Neuro-cognitive (3)

Disease-related

variables(12)

Model 1: Disease-Centered Construct

Intrinsic capacity(5 domains)

Environment (assessed by 10-item

Protective index)

Healthy aging

Locomotion (2)

Vitality(5)

Sensory(1)

Cognition (2)

Psychosocial (2)

Lifestyle (3)

Education & occupation

(2)

Marital status &

nationality (2)

Annual income &

living (2)

Risk of HIV(1)

Model 2: Functional-Centered Construct

This is a 9 months follow up interimanalyses of OALWH recruited in MYSAWHstudy in Italy, Australia and Hong Kong.

Inclusion criteria were: aged>50 years,undergoing stable ART.

Frailty Index included deficitsevaluation, and HIV variables, assessedby health professionals at the clinic.

Healthy index comprised a compositeof deficits evaluation and HIV variablesas well as self-reported outcomesassessed through questionnaires, fitnesstracking device and MySAwH App.

Intrinsic capacity fully derived from self-reported outcomes assessed throughquestionnaires, fitness tracking deviceand MySAwH App.

Protective index was evaluated withquestionnaire and MySAwH App.

*Inbrackets areshown thenumber ofitems considered foreach index’s domain.

§ Regardless of an increase in non-infectious co-morbiditiesthe non-significant progression of FI can be considered asa positive outcome. These data need to be confirmed atthe end of the study (18 months follow up). The presenceof a Health Coach that provided information about HI/ICchange motivated patients to be personally empoweredto improve life style.

§ The key result of this study was the possibility tooperationalize Healthy Aging into a IC and PI assessmenttool. Measuring Healthy Aging has the potential tosubstantially modify the way in which clinical practice isconducted focusing on residual wellness rather than a“reactive” identification and treatment of deficits.

Conclusions