Can We Distinguish Age-Related Frailty from Frailty Related to Diseases? Data from the MAPT Study - 06/12/24

Doi : 10.1007/s12603-020-1518-x 
Davide Angioni 1, 2, 6 , T. Macaron 1, 2, C. Takeda 1, S. Sourdet 1, M. Cesari 3, K. Virecoulon Giudici 2, J. Raffin 2, W.H. Lu 2, J. Delrieu 1, J. Touchon 4, Y. Rolland 1, 2, 5, P. De Souto Barreto 2, 5, B. Vellas 1, 2, 5

THE MAPT/DSA GROUP

1 Gerontopole of Toulouse, La Grave Hospital, Toulouse University Hospital (CHU Toulouse), Toulouse, France 
2 Gerontopole of Toulouse, Ageing Institut, Toulouse University Hospital (CHU Toulouse), Toulouse, France 
3 Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy 
4 Department of Neurology, University Hospital of Montpellier, Montpellier, France 
5 UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France 
6 Gerontopole of Toulouse, 37 A Jules Guesde, 31000, Toulouse, France 

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Abstract

Background

No study has tried to distinguish subjects that become frail due to diseases (frailty related to diseases) or in the absence of specific medical events; in this latter case, it is possible that aging process would act as the main frailty driver (age-related frailty).

Objectives

To classify subjects according to the origin of physical frailty: age-related frailty, frailty related to diseases, frailty of uncertain origin, and to compare their clinical characteristics.

Materials and methods

We performed a secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT), including 195 subjects ≥70 years non-frail at baseline who became frail during a 5-year follow-up (mean age 77.8 years ± 4.7; 70% female). Physical frailty was defined as presenting ≥3 of the 5 Fried criteria: weight loss, exhaustion, weakness, slowness, low physical activity. Clinical files were independently reviewed by two different clinicians using a standardized assessment method in order to classify subjects as: “age-related frailty”, “frailty related to diseases” or “frailty of uncertain origin”. Inconsistencies among the two raters and cases of uncertain frailty were further assessed by two other experienced clinicians.

Results

From the 195 included subjects, 82 (42%) were classified as age-related frailty, 53 (27%) as frailty related to diseases, and 60 (31%) as frailty of uncertain origin. Patients who became frail due to diseases did not differ from the others groups in terms of functional, cognitive, psychological status and age at baseline, however they presented a higher burden of comorbidity as measured by the Cumulative Illness Rating Scale (CIRS) (8.20 ± 2.69; vs 6.22 ± 2.02 frailty of uncertain origin; vs. 3.25 ± 1.65 age-related frailty). Time to incident frailty (23.4 months ± 12.1 vs. 39.2 ± 19.3 months) and time spent in a pre-frailty condition (17.1 ± 11.4 vs 26.6 ± 16.6 months) were shorter in the group of frailty related to diseases compared to age-related frailty. Orthopedic diseases (n=14, 26%) were the most common pathologies leading to frailty related to diseases, followed by cardiovascular diseases (n=9, 17%) and neurological diseases (n = 8, 15%).

Conclusion

People classified as age-related frailty and frailty related to diseases presented different frailty-associated indicators. Future research should target the underlying biological cascades leading to these two frailty classifications, since they could ask for distinct strategies of prevention and management.

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Key words : Frailty origin, frailty related to diseases, age-related frailty, geroscience


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© 2020  © 2020 THE AUTHORS. Published by Springer-Verlag International SAS on behalf of SERDI Publisher.. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 24 - N° 10

P. 1144-1151 - décembre 2020 Retour au numéro
Article précédent Article précédent
  • Age-Related Frailty: A Clinical Model for Geroscience?
  • Catherine Takeda, D. Angioni, E. Setphan, T. Macaron, P. De Souto Barreto, S. Sourdet, F. Sierra, B. Vellas
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  • COVID-19 Prevention: Use of Self-Reported Tools to Screen Frail Older Adults
  • Lina Ma

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