Skip to main content
Log in

Sensor-Based Frailty Assessment in Survivors of Childhood Cancer: A Pilot Study

  • Original Research
  • Published:
The Journal of Frailty & Aging Aims and scope Submit manuscript

Abstract

Background

Survivors of childhood cancer (CCS) are at risk for early aging and frailty. Frailty in CCS has been assessed with established clinical criteria, a time-intensive approach requiring specialized training. There is an unmet need for cost-effective, rapid methods for assessing frailty in at-risk adolescent and young adult (AYA) CCS, which are scalable to large populations.

Objectives

To validate a sensor-based frailty assessment tool in AYA CCS, compare frailty status between CCS and controls, and assess the correlation between frailty and number of CCS comorbidities.

Design, Setting, and Participants

Mean frailty index (MFI) was assessed by a frailty wrist sensor in 32 AYA CCS who were ≥1 year off therapy and in remission. Results were compared with 32 AYA controls without cancer or chronic disease.

Measurements

Frailty assessments with and without a simultaneous cognitive task were performed to obtain MFI. Results were compared between cases and controls using a Student t test, and the number of pre-frail/frail subjects by Chi Square test. The contribution of radiation therapy (RT) exposure to MFI was assessed in a sub-analysis, and the correlation between the number of comorbidities and MFI was measured using the Pearson method.

Results

MFI was strongly correlated with gait speed in AYA CCS. CCS were more likely to be pre-frail than controls without cancer history (p=0.032), and CCS treated with RT were more likely to be pre-frail than CCS not treated with RT (p<0.001). The number of comorbidities was strongly correlated with MFI (ρ=0.65), with a 0.028 increase in MFI for each added condition (p<0.001).

Conclusions

Results from this study support higher risk for frailty among CCS, especially those with multiple comorbidities or who were treated with RT. A wrist-worn sensor-based method is feasible for application in AYA CCS, and provides an opportunity for cost-effective, rapid screening of at-risk AYA CCS who may benefit from early interventions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2

Similar content being viewed by others

References

  1. Howlader N, Noone AM, Krapcho N, Neyman R, Aminou S, Altekruse C et al. SEER cancer statistics review, 1975–2009 (vintage 2009 populations). Bethesda, MD: National Cancer Institute; 2012.

    Google Scholar 

  2. Hudson MM, Oeffinger KC, Jones K, Brinkman TM, Krull KR, Mulrooney DA et al. Age-dependent changes in health status in the Childhood Cancer Survivor cohort. J Clin Oncol. 2015;33(5):479–91.

    Article  Google Scholar 

  3. Ness KK, Hudson MM, Ginsberg JP, Nagarajan R, Kaste SC, Marina N et al. Physical performance limitations in the Childhood Cancer Survivor Study cohort. J Clin Oncol. 2009;27(14):2382–9.

    Article  Google Scholar 

  4. Ness KK, Mertens AC, Hudson MM, Wall MM, Leisenring WM, Oeffinger KC et al. Limitations on physical performance and daily activities among long-term survivors of childhood cancer. Ann Intern Med. 2005;143(9):639–47.

    Article  Google Scholar 

  5. Ness KK, Krull KR, Jones KE, Mulrooney DA, Armstrong GT, Green DM et al. Physiologic frailty as a sign of accelerated aging among adult survivors of childhood cancer: a report from the St Jude Lifetime cohort study. J Clin Oncol. 2013;31(36):4496–503.

    Article  Google Scholar 

  6. Rueegg CS, Michel G, Wengenroth L, von der Weid NX, Bergstraesser E, Kuehni CE et al. Physical performance limitations in adolescent and adult survivors of childhood cancer and their siblings. PLoS One. 2012;7(10):e47944.

    Article  CAS  Google Scholar 

  7. Armstrong GT, Kawashima T, Leisenring W, Stratton K, Stovall M, Hudson MM et al. Aging and risk of severe, disabling, life-threatening, and fatal events in the childhood cancer survivor study. J Clin Oncol. 2014;32(12):1218–27.

    Article  Google Scholar 

  8. Armstrong GT, Reddick WE, Petersen RC, Santucci A, Zhang N, Srivastava D et al. Evaluation of memory impairment in aging adult survivors of childhood acute lymphoblastic leukemia treated with cranial radiotherapy. J Natl Cancer Inst. 2013;105(12):899–907.

    Article  CAS  Google Scholar 

  9. Henderson TO, Ness KK, Cohen HJ. Accelerated aging among cancer survivors: from pediatrics to geriatrics. American Society of Clinical Oncology educational book / ASCO American Society of Clinical Oncology Meeting. 2014:e423-30.

  10. Ness KK, Kirkland JL, Gramatges MM, Wang Z, Kundu M, McCastlain K et al. Premature Physiologic Aging as a Paradigm for Understanding Increased Risk of Adverse Health Across the Lifespan of Survivors of Childhood Cancer. J Clin Oncol. 2018;36(21):2206–15.

    Article  CAS  Google Scholar 

  11. Collard RM, Boter H, Schoevers RA, Oude Voshaar RC. Prevalence of frailty in community-dwelling older persons: a systematic review. J Am Geriatr Soc. 2012;60(8):1487–92.

    Article  Google Scholar 

  12. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56.

    Article  CAS  Google Scholar 

  13. Macklai NS, Spagnoli J, Junod J, Santos-Eggimann B. Prospective association of the SHARE-operationalized frailty phenotype with adverse health outcomes: evidence from 60+ community-dwelling Europeans living in 11 countries. BMC Geriatr. 2013;13:3.

    Article  Google Scholar 

  14. Chang SF, Lin PL. Frail phenotype and mortality prediction: a systematic review and meta-analysis of prospective cohort studies. Int J Nurs Stud. 2015;52(8):1362–74.

    Article  Google Scholar 

  15. 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.

    Article  Google Scholar 

  16. Ness KK, Morris EB, Nolan VG, Howell CR, Gilchrist LS, Stovall M et al. Physical performance limitations among adult survivors of childhood brain tumors. Cancer. 2010;116(12):3034–44.

    Article  Google Scholar 

  17. Hayek S, Gibson TM, Leisenring WM, Guida JL, Gramatges MM, Lupo PJ et al. Prevalence and Predictors of Frailty in Childhood Cancer Survivors and Siblings: A Report From the Childhood Cancer Survivor Study. J Clin Oncol. 2019:JCO1901226.

  18. Aguayo GA, Donneau AF, Vaillant MT, Schritz A, Franco OH, Stranges S et al. Agreement Between 35 Published Frailty Scores in the General Population. Am J Epidemiol. 2017;186(4):420–34.

    Article  Google Scholar 

  19. Toosizadeh N, Wendel C, Hsu CH, Zamrini E, Mohler J. Frailty assessment in older adults using upper-extremity function: index development. BMC Geriatr. 2017;17(1):117.

    Article  Google Scholar 

  20. Toosizadeh N, Mohler J, Najafi B. Assessing Upper Extremity Motion: An Innovative Method to Identify Frailty. J Am Geriatr Soc. 2015;63(6):1181–6.

    Article  Google Scholar 

  21. Toosizadeh N, Berry C, Bime C, Najafi B, Kraft M, Mohler J. Assessing upper-extremity motion: An innovative method to quantify functional capacity in patients with chronic obstructive pulmonary disease. PLoS One. 2017;12(2):e0172766.

    Article  Google Scholar 

  22. Toosizadeh N, Joseph B, Heusser MR, Orouji Jokar T, Mohler J, Phelan HA et al. Assessing Upper-Extremity Motion: An Innovative, Objective Method to Identify Frailty in Older Bed-Bound Trauma Patients. J Am Coll Surg. 2016;223(2):240–8.

    Article  Google Scholar 

  23. Podsiadlo D, Richardson S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142–8.

    Article  CAS  Google Scholar 

  24. Nicolini-Panisson RD, Donadio MV. Normative values for the Timed ‘Up and Go’ test in children and adolescents and validation for individuals with Down syndrome. Dev Med Child Neurol. 2014;56(5):490–7.

    Article  Google Scholar 

  25. Kear BM, Guck TP, McGaha AL. Timed Up and Go (TUG) Test: Normative Reference Values for Ages 20 to 59 Years and Relationships With Physical and Mental Health Risk Factors. J Prim Care Community Health. 2017;8(1):9–13.

    Article  Google Scholar 

  26. Lee H, Joseph B, Enriquez A, Najafi B. Toward Using a Smartwatch to Monitor Frailty in a Hospital Setting: Using a Single Wrist-Wearable Sensor to Assess Frailty in Bedbound Inpatients. Gerontology. 2018;64(4):389–400.

    Article  Google Scholar 

  27. Toosizadeh N, Najafi B, Reiman EM, Mager RM, Veldhuizen JK, O’Connor K et al. Upper-Extremity Dual-Task Function: An Innovative Method to Assess Cognitive Impairment in Older Adults. Front Aging Neurosci. 2016;8:167.

    Article  Google Scholar 

  28. Kojima G, Iliffe S, Jivraj S, Walters K. Association between frailty and quality of life among community-dwelling older people: a systematic review and meta-analysis. J Epidemiol Community Health. 2016;70(7):716–21.

    Article  Google Scholar 

  29. Ness KK, Howell CR, Bjornard KL. Frailty and quality of life in adult survivors of childhood cancer. Expert Rev Qual Life Cancer Care. 2017;2(2):79–85.

    Article  Google Scholar 

  30. Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care. 2007;45(5 Suppl 1):S3–S11.

    Article  Google Scholar 

  31. Rockwood K, Andrew M, Mitnitski A. A comparison of two approaches to measuring frailty in elderly people. J Gerontol A Biol Sci Med Sci. 2007;62(7):738–43.

    Article  Google Scholar 

  32. Hays RD, Spritzer KL, Thompson WW, Cella D. U.S. General Population Estimate for “Excellent” to “Poor” Self-Rated Health Item. J Gen Intern Med. 2015;30(10):1511–6.

    Article  Google Scholar 

  33. Kim H, Higgins PA, Canaday DH, Burant CJ, Hornick TR. Frailty assessment in the geriatric outpatient clinic. Geriatr Gerontol Int. 2014;14(1):78–83.

    Article  Google Scholar 

  34. Dent E, Kowal P, Hoogendijk EO. Frailty measurement in research and clinical practice: A review. Eur J Intern Med. 2016;31:3–10.

    Article  Google Scholar 

  35. Joseph B, Pandit V, Rhee P, Aziz H, Sadoun M, Wynne J et al. Predicting hospital discharge disposition in geriatric trauma patients: is frailty the answer? The journal of trauma and acute care surgery. 2014;76(1):196–200.

    Article  Google Scholar 

  36. Joseph B, Pandit V, Zangbar B, Kulvatunyou N, Tang A, O’Keeffe T et al. Validating trauma-specific frailty index for geriatric trauma patients: a prospective analysis. J Am Coll Surg. 2014;219(1):10–7e1.

    Article  Google Scholar 

  37. Joseph B, Toosizadeh N, Orouji Jokar T, Heusser MR, Mohler J, Najafi B. Upper-Extremity Function Predicts Adverse Health Outcomes among Older Adults Hospitalized for Ground-Level Falls. Gerontology. 2017;63(4):299–307.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the patients who participated in this study as well as their families.

Funding

This work was supported by the Texas Children’s Cancer and Hematology Centers.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria Monica Gramatges.

Ethics declarations

This study was approved by the Baylor College of Medicine institutional review board, and conducted in accordance with the Helsinki Declaration of 1975, as revised in 2000.

Additional information

Conflicts of Interest

None declared by the Authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Krnavek, N.J., Ajasin, S., Arreola, E.C. et al. Sensor-Based Frailty Assessment in Survivors of Childhood Cancer: A Pilot Study. J Frailty Aging 10, 176–181 (2021). https://doi.org/10.14283/jfa.2020.71

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.14283/jfa.2020.71

Key words

Navigation