The prevalence of frailty, measured with different diagnostic tools, and autonomy decline: Results of the Crystal study

Anna V. Turusheva , Elena V. Frolova , Tatiana A. Bogdanova

Russian Family Doctor ›› 2021, Vol. 25 ›› Issue (1) : 35 -43.

PDF (196KB)
Russian Family Doctor ›› 2021, Vol. 25 ›› Issue (1) : 35 -43. DOI: 10.17816/RFD61632
Original study article
research-article

The prevalence of frailty, measured with different diagnostic tools, and autonomy decline: Results of the Crystal study

Author information +
History +
PDF (196KB)

Abstract

INTRODUCTION: Frailty prevalence differs across different population depending on the models used to assess, age, economic situation, social status, and the proportion of men and women in the study. The diagnostic value of different models of frailty varies from population to population.

OBJECTIVES: To assess the prevalence of frailty using 4 different diagnostic models and their sensitivity for identifying persons with autonomy decline.

MATERIAL AND METHODS: A random sample of 611 people aged 65 and over. Models used: the Age is not a blocking factor model, the SOF Frailty Index, the Groningen Frailty Indicator, L. Fried model. Covariates: nutritional status, anemia, functional status, depression, dementia, chronic diseases, grip strength, physical function.

RESULTS: The prevalence of the Frailty Phenotype ranged from 16.6 to 20.4% and the Frailty Index was 32.6%. Frailty, regardless of the used models was associated with an increase in the prevalence of the geriatric syndromes: urinary incontinence, hearing and vision loss, physical decline, malnutrition and the risk of malnutrition, low cognitive functions and autonomy decline (p < 0.05). The negative predictive value (NPV) of the Age is not a blocking factor model, the SOF Frailty Index, the Groningen Frailty Indicator for identifying individuals with autonomy decline was 86–90%.

CONCLUSION: The prevalence of frailty depended on the operational definition and varied from 16.6 to 32.6%. The Age is not a blocking factor model, the SOF Frailty Index, the Groningen Frailty Indicator, L. Fried model can be used as screening tools to identify older patient with autonomy decline. Regardless of the model used, frailty is closely associated with an increase in the prevalence of major geriatric syndromes.

Keywords

prevalence / older adults / frailty / Barthel index / geriatric syndrome / autonomy decline

Cite this article

Download citation ▾
Anna V. Turusheva, Elena V. Frolova, Tatiana A. Bogdanova. The prevalence of frailty, measured with different diagnostic tools, and autonomy decline: Results of the Crystal study. Russian Family Doctor, 2021, 25(1): 35-43 DOI:10.17816/RFD61632

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Fedarko NS. The biology of aging and frailty. Clin Geriatr Med. 2011;27(1):27−37. DOI: 10.1016/j.cger.2010.08.006

[2]

Fedarko N.S. The biology of aging and frailty // Clin. Geriatr. Med. 2011. Vol. 27, No. 1. P. 27−37. DOI: 10.1016/j.cger.2010.08.006

[3]

Tkacheva ON, Kotovskaya YuV, Runikhina NK, et al. Clinical guidelines on frailty. Russian Journal of Geriatric Medicine. 2020;(1):11−46. (In Russ.). DOI:10.37586/2686-8636-1-2020-11-46

[4]

Ткачева О.Н., Котовская Ю.В., Рунихина Н.К. и др. Клинические рекомендации «Старческая астения» // Российский журнал гериатрической медицины. 2020. № 1. C. 11−46. DOI: 10.37586/2686-8636-1-2020-11-46

[5]

Turusheva AV, Frolova EV, Degriz ZhM. Ehvolyutsiya teorii starcheskoi astenii. Herald of North-Western State Medical University named after I.I. Mechnikov. 2017;9(1):117−124. (In Russ.)

[6]

Турушева А.В., Фролова Е.В., Дегриз Ж.М. Эволюция теории старческой астении // Вестник Северо-Западного государственного медицинского университета им. И.И. Мечникова. 2017. Т. 9, № 1. С. 117–124.

[7]

O’Caoimh R, Sezgin D, O’Donovan MR, et al. Prevalence of frailty in 62 countries across the world: a systematic review and meta-analysis of population-level studies. Age Ageing. 2021;50(1):96−104. DOI: 10.1093/ageing/afaa219

[8]

O’Caoimh R., Sezgin D., O’Donovan M.R. et al. Prevalence of frailty in 62 countries across the world: a systematic review and meta-analysis of population-level studies // Age Ageing. 2021. Vol. 50, No. 1. P. 96−104. DOI: 10.1093/ageing/afaa219

[9]

Tkacheva ON, Rukhnina NK, Ostapenko VS, et al. Validation of the questionnaire for screening frailty. Advances in Gerontology. 2017;30(2):236−242. (In Russ.)

[10]

Ткачева О.Н., Рухнина Н.К., Остапенко В.С. и др. Валидация опросника для скрининга синдрома старческой астении в амбулаторной практике // Успехи геронтологии. 2017. Т. 30, № 2. С. 236−242.

[11]

Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):146−156. DOI: 10.1093/gerona/56.3.m146

[12]

Fried L.P., Tangen C.M., Walston J. et al. Frailty in older adults: evidence for a phenotype // J. Gerontol. A. Bio.l Sci. Med. Sci. 2001. Vol. 56, No. 3. P. 146−156. DOI: 10.1093/gerona/56.3.m146

[13]

Turusheva A, Frolova E, Korystina E, et al. Do commonly used frailty models predict mortality, loss of autonomy and mental decline in older adults in northwestern Russia? A prospective cohort study. BMC Geriatr. 2016;16(1):98. DOI: 10.1186/s12877-016-0276-4

[14]

Turusheva A., Frolova E., Korystina E. et al. Do commonly used frailty models predict mortality, loss of autonomy and mental decline in older adults in northwestern Russia? A prospective cohort study // BMC Geriatr. 2016. Vol. 16, No. 1. P. 98. DOI: 10.1186/s12877-016-0276-4

[15]

Steverink N, Slaets J. Measuring frailty: Developing and testing the GFI (Groningen frailty indicator). Gerontologist. 2001;(44):236−237.

[16]

Steverink N, Slaets J. Measuring frailty: Developing and testing the GFI (Groningen frailty indicator) // Gerontologist. 2001. No. 44. P. 236−237.

[17]

Ensrud KE, Ewing SK, Taylor BC, et al. Comparison of 2 frailty indexes for prediction of palls, disability, fractures, and death in older women. Arch Intern Med. 2008;168(4):382−389. DOI: 10.1001/archinternmed.2007.113

[18]

Ensrud K.E., Ewing S.K., Taylor B.C. et al. Comparison of 2 frailty indexes for prediction of falls, disability, fractures, and death in older women // Arch. Intern. Med. 2008. Vol. 168, No. 4. P. 382−389. DOI: 10.1001/archinternmed.2007.113

[19]

Guralnik JM, Simonsick EM, Ferrucci L, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49(2):85−94. DOI: 10.1093/geronj/49.2.m85

[20]

Guralnik J.M., Simonsick E.M., Ferrucci L. et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission // J. Gerontol. 1994. Vol. 49, No. 2. P. 85−94. DOI: 10.1093/geronj/49.2.m85

[21]

Mahoney FI, Barthel DW. Functional evaluation: The barthel index. Md State Med J. 1965;(14):61–65.

[22]

Mahoney F.I., Barthel D.W. Functional evaluation: The Barthel index // Md. State Med. J. 1965. No. 14. P. 61–65.

[23]

Turusheva A, Frolova Е, Degryse JM. Age-related normative values for handgrip strength and grip strength’s usefulness as a predictor of mortality and both cognitive and physical decline in older adults in northwest Russia. J Musculoskelet Neuronal Interact. 2017;17(1):417−432.

[24]

Turusheva A., Frolova Е., Degryse J.M. Age-related normative values for handgrip strength and grip strength’s usefulness as a predictor of mortality and both cognitive and physical decline in older adults in northwest Russia // J. Musculoskelet Neuronal. Interact. 2017. Vol. 17, No. 1. P. 417−432.

[25]

Thompson MQ, Theou O, Solomon Yu, et al. Frailty prevalence and factors associated with the frailty phenotype and frailty index: Findings from the north west adelaide health study. Australas J Ageing. 2018;37(2):120−126. DOI: 10.1111/ajag.12487

[26]

Thompson M.Q., Theou O., Solomon Yu. et al. Frailty prevalence and factors associated with the Frailty Phenotype and Frailty Index: Findings from the North West Adelaide Health Study // Australas J. Ageing. 2018. Vol. 37, No. 2. P. 120−126. DOI: 10.1111/ajag.12487

[27]

Siriwardhana DD, Hardoon S, Rait G, et al. Prevalence of frailty and prefrailty among community-dwelling older adults in low-income and middle-income countries: a systematic review and meta-analysis. BMJ Open. 2018;8(3):e018195. DOI: 10.1136/bmjopen-2017-018195

[28]

Siriwardhana D.D., Hardoon S., Rait G. et al. Prevalence of frailty and prefrailty among community-dwelling older adults in low-income and middle-income countries: a systematic review and meta-analysis // BMJ Open. 2018. Vol. 8, No. 3. P. e018195. DOI: 10.1136/bmjopen-2017-018195

[29]

Ekram ARMS, Ryan J, Britt C, et al. Frailty status and all-cause mortality in the community-dwelling older people: an umbrella review. Innov Aging. 2020;16(4 Suppl. 1):488–489. DOI: 10.1093/geroni/igaa057.1580

[30]

Ekram A.R.M.S., Ryan J., Britt C. et al. Frailty status and all-cause mortality in the community-dwelling older people: an umbrella review // Innov. Aging. 2020. Vol. 16, No. 4 (Suppl. 1). P. 488–489. DOI: 10.1093/geroni/igaa057.1580

[31]

Vermeiren S, Vella-Azzopardi R, Beckwée D, et al. Frailty and the prediction of negative health outcomes: a meta-analysis. J Am Med Dir Assoc. 2016;17(12):1163.e1–1163.e17. DOI: 10.1016/j.jamda.2016.09.010

[32]

Vermeiren S., Vella-Azzopardi R., Beckwée D. et al. Frailty and the prediction of negative health outcomes: a meta-analysis // J. Am. Med. Dir. Assoc. 2016. Vol. 17, No. 12. P. 1163.e1–1163.e17. DOI: 10.1016/j.jamda.2016.09.010

[33]

Kojima G, Taniguchi Yu, Iliffe S, Walters K. Frailty as a predictor of alzheimer disease, vascular dementia, and all dementia among community-dwelling older people: a systematic review and meta-analysis. J Am Med Dir Assoc. 2016;17(10):881–888. DOI: 10.1016/j.jamda.2016.05.013

[34]

Kojima G., Taniguchi Yu., Iliffe S., Walters K. Frailty as a predictor of alzheimer disease, vascular dementia, and all dementia among community-dwelling older people: a systematic review and meta-analysis // J. Am. Med. Dir. Assoc. 2016. Vol. 17, No. 10. P. 881–888. DOI: 10.1016/j.jamda.2016.05.013

[35]

Rezaei-Shahsavarloo Z, Atashzadeh-Shoorideh F, Gobbens RJJ, et al. The impact of interventions on management of frailty in hospitalized frail older adults: a systematic review and meta-analysis. BMC Geriatr. 2020;20(1):526. DOI: 10.1186/s12877-020-01935-8

[36]

Rezaei-Shahsavarloo Z., Atashzadeh-Shoorideh F., Gobbens R.J.J. et al. The impact of interventions on management of frailty in hospitalized frail older adults: a systematic review and meta-analysis // BMC Geriatr. 2020. Vol. 20, No. 1. P. 526. DOI: 10.1186/s12877-020-01935-8

RIGHTS & PERMISSIONS

Turusheva A.V., Frolova E.V., Bogdanova T.A.

AI Summary AI Mindmap
PDF (196KB)

143

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/