Skip to main content
Top
Published in: BMC Medicine 1/2019

Open Access 01-12-2019 | Research article

The frailty index is a predictor of cause-specific mortality independent of familial effects from midlife onwards: a large cohort study

Authors: Xia Li, Alexander Ploner, Ida K. Karlsson, Xingrong Liu, Patrik K. E. Magnusson, Nancy L. Pedersen, Sara Hägg, Juulia Jylhävä

Published in: BMC Medicine | Issue 1/2019

Login to get access

Abstract

Background

Frailty index (FI) is a well-established predictor of all-cause mortality, but less is known for cause-specific mortality and whether familial effects influence the associations. Middle-aged individuals are also understudied for the association between FI and mortality. Furthermore, the population mortality impact of frailty remains understudied.

Methods

We estimated the predictive value of FI for all-cause and cause-specific mortality, taking into account familial factors, and tested whether the associations are time-dependent. We also assessed the proportion of all-cause and cause-specific deaths that are attributable to increased levels of frailty. We analyzed 42,953 participants from the Screening Across the Lifespan Twin Study (aged 41–95 years at baseline) with up to 20 years’ mortality follow-up. The FI was constructed using 44 health-related items. Deaths due to cardiovascular disease (CVD), respiratory-related causes, and cancer were considered in the cause-specific analysis. Generalized survival models were used in the analysis.

Results

Increased FI was associated with higher risks of all-cause, CVD, and respiratory-related mortality, with the corresponding hazard ratios of 1.28 (1.24, 1.32), 1.31 (1.23, 1.40), and 1.23 (1.11, 1.38) associated with a 10% increase in FI in male single responders, and 1.21 (1.18, 1.25), 1.27 (1.15, 1.34), and 1.26 (1.15, 1.39) in female single responders. No significant associations were observed for cancer mortality. No attenuation of the mortality associations in unrelated individuals was observed when adjusting for familial effects in twin pairs. The associations were time-dependent with relatively greater effects observed in younger ages. Before the age of 80, the proportions of deaths attributable to FI levels > 0.21 were 18.4% of all-cause deaths, 25.4% of CVD deaths, and 20.4% of respiratory-related deaths in men and 19.2% of all-cause deaths, 27.8% of CVD deaths, and 28.5% of respiratory-related deaths in women. After the age of 80, the attributable proportions decreased, most notably for all-cause and CVD mortality.

Conclusions

Increased FI predicts higher risks of all-cause, CVD, and respiratory-related mortality independent of familial effects. Increased FI presents a relatively greater risk factor at midlife than in old age. Increased FI has a significant population mortality impact that is greatest through midlife until the age of 80.
Appendix
Available only for authorised users
Literature
1.
go back to reference Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752–62.CrossRef Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752–62.CrossRef
2.
go back to reference Lin HS, Watts JN, Peel NM, Hubbard RE. Frailty and post-operative outcomes in older surgical patients: a systematic review. BMC Geriatr. 2016;16(1):157.CrossRef Lin HS, Watts JN, Peel NM, Hubbard RE. Frailty and post-operative outcomes in older surgical patients: a systematic review. BMC Geriatr. 2016;16(1):157.CrossRef
3.
go back to reference Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56.CrossRef Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56.CrossRef
4.
go back to reference Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K. A standard procedure for creating a frailty index. BMC Geriatr. 2008;8:24.CrossRef Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K. A standard procedure for creating a frailty index. BMC Geriatr. 2008;8:24.CrossRef
5.
go back to reference Rockwood K, Mitnitski A. Frailty defined by deficit accumulation and geriatric medicine defined by frailty. Clin Geriatr Med. 2011;27(1):17–26.CrossRef Rockwood K, Mitnitski A. Frailty defined by deficit accumulation and geriatric medicine defined by frailty. Clin Geriatr Med. 2011;27(1):17–26.CrossRef
6.
go back to reference Kojima G, Iliffe S, Walters K. Frailty index as a predictor of mortality: a systematic review and meta-analysis. Age Ageing. 2018;47(2):193–200.CrossRef Kojima G, Iliffe S, Walters K. Frailty index as a predictor of mortality: a systematic review and meta-analysis. Age Ageing. 2018;47(2):193–200.CrossRef
7.
go back to reference Young AC, Glaser K, Spector TD, Steves CJ. The identification of hereditary and environmental determinants of frailty in a cohort of UK twins. Twin Res Hum Genet. 2016;19(6):600–9.CrossRef Young AC, Glaser K, Spector TD, Steves CJ. The identification of hereditary and environmental determinants of frailty in a cohort of UK twins. Twin Res Hum Genet. 2016;19(6):600–9.CrossRef
8.
go back to reference Gordon EH, Peel NM, Samanta M, Theou O, Howlett SE, Hubbard RE. Sex differences in frailty: a systematic review and meta-analysis. Exp Gerontol. 2017;89:30–40.CrossRef Gordon EH, Peel NM, Samanta M, Theou O, Howlett SE, Hubbard RE. Sex differences in frailty: a systematic review and meta-analysis. Exp Gerontol. 2017;89:30–40.CrossRef
9.
go back to reference Mitnitski A, Collerton J, Martin-Ruiz C, Jagger C, von Zglinicki T, Rockwood K, Kirkwood TB. Age-related frailty and its association with biological markers of ageing. BMC Med. 2015;13:161.CrossRef Mitnitski A, Collerton J, Martin-Ruiz C, Jagger C, von Zglinicki T, Rockwood K, Kirkwood TB. Age-related frailty and its association with biological markers of ageing. BMC Med. 2015;13:161.CrossRef
10.
go back to reference Chen YQ, Hu C, Wang Y. Attributable risk function in the proportional hazards model for censored time-to-event. Biostatistics. 2006;7(4):515–29.CrossRef Chen YQ, Hu C, Wang Y. Attributable risk function in the proportional hazards model for censored time-to-event. Biostatistics. 2006;7(4):515–29.CrossRef
11.
go back to reference Sjölander A, Vansteelandt S. Doubly robust estimation of attributable fractions in survival analysis. Stat Methods Med Res. 2017;26(2):948–69.CrossRef Sjölander A, Vansteelandt S. Doubly robust estimation of attributable fractions in survival analysis. Stat Methods Med Res. 2017;26(2):948–69.CrossRef
12.
go back to reference Taguri M, Matsuyama Y, Ohashi Y, Harada A, Ueshima H. Doubly robust estimation of the generalized impact fraction. Biostatistics. 2012;13(3):455–67.CrossRef Taguri M, Matsuyama Y, Ohashi Y, Harada A, Ueshima H. Doubly robust estimation of the generalized impact fraction. Biostatistics. 2012;13(3):455–67.CrossRef
13.
go back to reference Magnusson PK, Almqvist C, Rahman I, Ganna A, Viktorin A, Walum H, Halldner L, Lundström S, Ullén F, Långström N, et al. The Swedish Twin Registry: establishment of a biobank and other recent developments. Twin Res Hum Genet. 2013;16(1):317–29.CrossRef Magnusson PK, Almqvist C, Rahman I, Ganna A, Viktorin A, Walum H, Halldner L, Lundström S, Ullén F, Långström N, et al. The Swedish Twin Registry: establishment of a biobank and other recent developments. Twin Res Hum Genet. 2013;16(1):317–29.CrossRef
14.
go back to reference Liu XR, Pawitan Y, Clements M. Parametric and penalized generalized survival models. Stat Methods Med Res. 2018;27(5):1531–46.CrossRef Liu XR, Pawitan Y, Clements M. Parametric and penalized generalized survival models. Stat Methods Med Res. 2018;27(5):1531–46.CrossRef
15.
go back to reference Liu XR, Pawitan Y, Clements MS. Generalized survival models for correlated time-to-event data. Stat Med. 2017;36(29):4743–62.CrossRef Liu XR, Pawitan Y, Clements MS. Generalized survival models for correlated time-to-event data. Stat Med. 2017;36(29):4743–62.CrossRef
17.
go back to reference Sjölander A, Lichtenstein P, Larsson H, Pawitan Y. Between-within models for survival analysis. Stat Med. 2013;32(18):3067–76.CrossRef Sjölander A, Lichtenstein P, Larsson H, Pawitan Y. Between-within models for survival analysis. Stat Med. 2013;32(18):3067–76.CrossRef
18.
go back to reference Zhan Y, Liu XR, Reynolds CA, Pedersen NL, Hägg S, Clements MS. Leukocyte telomere length and all-cause mortality: a between-within twin study with time dependent effects using generalized survival models. Am J Epidemiol. 2018. Zhan Y, Liu XR, Reynolds CA, Pedersen NL, Hägg S, Clements MS. Leukocyte telomere length and all-cause mortality: a between-within twin study with time dependent effects using generalized survival models. Am J Epidemiol. 2018.
19.
go back to reference Chen L, Lin DY, Zeng D. Attributable fraction functions for censored event times. Biometrika. 2010;97(3):713–26.CrossRef Chen L, Lin DY, Zeng D. Attributable fraction functions for censored event times. Biometrika. 2010;97(3):713–26.CrossRef
20.
go back to reference Rockwood K, Song X, Mitnitski A. Changes in relative fitness and frailty across the adult lifespan: evidence from the Canadian National Population Health Survey. CMAJ. 2011;183(8):E487–94.CrossRef Rockwood K, Song X, Mitnitski A. Changes in relative fitness and frailty across the adult lifespan: evidence from the Canadian National Population Health Survey. CMAJ. 2011;183(8):E487–94.CrossRef
22.
go back to reference Shamliyan T, Talley KM, Ramakrishnan R, Kane RL. Association of frailty with survival: a systematic literature review. Ageing Res Rev. 2013;12(2):719–36.CrossRef Shamliyan T, Talley KM, Ramakrishnan R, Kane RL. Association of frailty with survival: a systematic literature review. Ageing Res Rev. 2013;12(2):719–36.CrossRef
23.
go back to reference Jiang M, Foebel AD, Kuja-Halkola R, Karlsson I, Pedersen NL, Hägg S, Jylhävä J. Frailty index as a predictor of all-cause and cause-specific mortality in a Swedish population-based cohort. Aging (Albany NY). 2017;9(12):2629–46.CrossRef Jiang M, Foebel AD, Kuja-Halkola R, Karlsson I, Pedersen NL, Hägg S, Jylhävä J. Frailty index as a predictor of all-cause and cause-specific mortality in a Swedish population-based cohort. Aging (Albany NY). 2017;9(12):2629–46.CrossRef
24.
go back to reference Saum KU, Dieffenbach AK, Müller H, Holleczek B, Hauer K, Brenner H. Frailty prevalence and 10-year survival in community-dwelling older adults: results from the ESTHER cohort study. Eur J Epidemiol. 2014;29(3):171–9.CrossRef Saum KU, Dieffenbach AK, Müller H, Holleczek B, Hauer K, Brenner H. Frailty prevalence and 10-year survival in community-dwelling older adults: results from the ESTHER cohort study. Eur J Epidemiol. 2014;29(3):171–9.CrossRef
25.
go back to reference Williams DM, Jylhävä J, Pedersen NL, Hägg S. A frailty index for UK Biobank participants; 2017.CrossRef Williams DM, Jylhävä J, Pedersen NL, Hägg S. A frailty index for UK Biobank participants; 2017.CrossRef
26.
go back to reference Kulminski AM, Ukraintseva SV, Culminskaya IV, Arbeev KG, Land KC, Akushevich L, Yashin AI. Cumulative deficits and physiological indices as predictors of mortality and long life. J Gerontol A Biol. 2008;63(10):1053–9.CrossRef Kulminski AM, Ukraintseva SV, Culminskaya IV, Arbeev KG, Land KC, Akushevich L, Yashin AI. Cumulative deficits and physiological indices as predictors of mortality and long life. J Gerontol A Biol. 2008;63(10):1053–9.CrossRef
27.
go back to reference Oksuzyan A, Juel K, Vaupel JW, Christensen K. Men: good health and high mortality. Sex differences in health and aging. Aging Clin Exp Res. 2008;20(2):91–102.CrossRef Oksuzyan A, Juel K, Vaupel JW, Christensen K. Men: good health and high mortality. Sex differences in health and aging. Aging Clin Exp Res. 2008;20(2):91–102.CrossRef
28.
go back to reference Yang F, Gu DN. Predictability of frailty index and its components on mortality in older adults in China. BMC Geriatr. 2016;16:145. Yang F, Gu DN. Predictability of frailty index and its components on mortality in older adults in China. BMC Geriatr. 2016;16:145.
29.
go back to reference Bartley MM, Geda YE, Christianson TJ, Pankratz VS, Roberts RO, Petersen RC. Frailty and mortality outcomes in cognitively normal older people: sex differences in a population-based study. J Am Geriatr Soc. 2016;64(1):132–7.CrossRef Bartley MM, Geda YE, Christianson TJ, Pankratz VS, Roberts RO, Petersen RC. Frailty and mortality outcomes in cognitively normal older people: sex differences in a population-based study. J Am Geriatr Soc. 2016;64(1):132–7.CrossRef
30.
go back to reference Song X, Mitnitski A, Rockwood K. Age-related deficit accumulation and the risk of late-life dementia. Alzheimers Res Ther. 2014;6(5–8):54.CrossRef Song X, Mitnitski A, Rockwood K. Age-related deficit accumulation and the risk of late-life dementia. Alzheimers Res Ther. 2014;6(5–8):54.CrossRef
31.
go back to reference Shi J, Song X, Yu P, Tang Z, Mitnitski A, Fang X, Rockwood K. Analysis of frailty and survival from late middle age in the Beijing longitudinal study of aging. BMC Geriatr. 2011;11:17.CrossRef Shi J, Song X, Yu P, Tang Z, Mitnitski A, Fang X, Rockwood K. Analysis of frailty and survival from late middle age in the Beijing longitudinal study of aging. BMC Geriatr. 2011;11:17.CrossRef
32.
go back to reference García-González JJ, García-Peña C, Franco-Marina F, Gutiérrez-Robledo LM. A frailty index to predict the mortality risk in a population of senior Mexican adults. BMC Geriatr. 2009;9:47.CrossRef García-González JJ, García-Peña C, Franco-Marina F, Gutiérrez-Robledo LM. A frailty index to predict the mortality risk in a population of senior Mexican adults. BMC Geriatr. 2009;9:47.CrossRef
33.
go back to reference Crow RS, Lohman MC, Titus AJ, Bruce ML, Mackenzie TA, Bartels SJ, Batsis JA. Mortality risk along the frailty Spectrum: data from the National Health and Nutrition Examination Survey 1999 to 2004. J Am Geriatr Soc. 2018;66(3):496–502.CrossRef Crow RS, Lohman MC, Titus AJ, Bruce ML, Mackenzie TA, Bartels SJ, Batsis JA. Mortality risk along the frailty Spectrum: data from the National Health and Nutrition Examination Survey 1999 to 2004. J Am Geriatr Soc. 2018;66(3):496–502.CrossRef
34.
go back to reference Veronese N, Sigeirsdottir K, Eiriksdottir G, Marques EA, Chalhoub D, Phillips CL, Launer LJ, Maggi S, Gudnason V, Harris TB. Frailty and risk of cardiovascular diseases in older persons: the age, gene/environment susceptibility-Reykjavik study. Rejuvenation Res. 2017;20(6):517–24.CrossRef Veronese N, Sigeirsdottir K, Eiriksdottir G, Marques EA, Chalhoub D, Phillips CL, Launer LJ, Maggi S, Gudnason V, Harris TB. Frailty and risk of cardiovascular diseases in older persons: the age, gene/environment susceptibility-Reykjavik study. Rejuvenation Res. 2017;20(6):517–24.CrossRef
35.
go back to reference Mandelblatt JS, Cai L, Luta G, Kimmick G, Clapp J, Isaacs C, Pitcher B, Barry W, Winer E, Sugarman S, et al. Frailty and long-term mortality of older breast cancer patients: CALGB 369901 (Alliance). Breast Cancer Res Treat. 2017;164(1):107–17.CrossRef Mandelblatt JS, Cai L, Luta G, Kimmick G, Clapp J, Isaacs C, Pitcher B, Barry W, Winer E, Sugarman S, et al. Frailty and long-term mortality of older breast cancer patients: CALGB 369901 (Alliance). Breast Cancer Res Treat. 2017;164(1):107–17.CrossRef
36.
go back to reference Handforth C, Clegg A, Young C, Simpkins S, Seymour MT, Selby PJ, Young J. The prevalence and outcomes of frailty in older cancer patients: a systematic review. Ann Oncol. 2015;26(6):1091–101.CrossRef Handforth C, Clegg A, Young C, Simpkins S, Seymour MT, Selby PJ, Young J. The prevalence and outcomes of frailty in older cancer patients: a systematic review. Ann Oncol. 2015;26(6):1091–101.CrossRef
37.
go back to reference Morley JE, Vellas B, van Kan GA, Anker SD, Bauer JM, Bernabei R, Cesari M, Chumlea WC, Doehner W, Evans J, et al. Frailty consensus: a call to action. J Am Med Dir Assoc. 2013;14(6):392–7.CrossRef Morley JE, Vellas B, van Kan GA, Anker SD, Bauer JM, Bernabei R, Cesari M, Chumlea WC, Doehner W, Evans J, et al. Frailty consensus: a call to action. J Am Med Dir Assoc. 2013;14(6):392–7.CrossRef
Metadata
Title
The frailty index is a predictor of cause-specific mortality independent of familial effects from midlife onwards: a large cohort study
Authors
Xia Li
Alexander Ploner
Ida K. Karlsson
Xingrong Liu
Patrik K. E. Magnusson
Nancy L. Pedersen
Sara Hägg
Juulia Jylhävä
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2019
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-019-1331-8

Other articles of this Issue 1/2019

BMC Medicine 1/2019 Go to the issue