Skip to main content

Advertisement

Log in

Combined use of the Clinical Frailty Scale and laboratory tests in acutely hospitalized older patients

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Aims

To evaluate the Clinical Frailty Scale (CFS) and a Frailty Index based on laboratory tests (FI-lab) in terms of what each assesses about frailty and to determine the appropriateness of combined use of these two frailty scales.

Methods

This was a prospective observational cohort study in an acute geriatric ward of a university hospital. The FI-lab is the proportion of laboratory parameters that yield abnormal results from a total of 23. The FI-lab and CFS were assessed at admission. Data on activities of daily living (ADL), cognition, geriatric syndromes, and comorbidities were also collected. Main outcomes were in-hospital mortality and 90-day mortality after admission.

Results

In total, 378 inpatients (mean age 85.2 ± 5.8 years, 59.3% female) were enrolled. ADL and cognition correlated strongly with the CFS (Spearman’s |r|> 0.60) but weakly with the FI-lab (|r|< 0.30). Both the CFS and FI-lab correlated weakly with geriatric syndromes and comorbidities (|r|< 0.40). The correlation between the CFS and FI-lab was also weak (r = 0.28). The CFS and FI-lab were independently associated with in-hospital mortality and 90-day mortality after admission. The Akaike information criterion was lower for models using both the CFS and FI-lab than for models using either tool alone.

Conclusions

The CFS and FI-lab each reflected only some of the aspects of frailty in acutely hospitalized older patients. The model fit was better when the two frailty scales were used together to assess the mortality risk than when either was used alone.

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.

Fig. 1

Similar content being viewed by others

Data availability

Participants of this study did not agree for their data to be shared publicly, so supporting data is not available.

References

  1. Clegg A, Young J, Iliffe S et al (2013) Frailty in elderly people. Lancet 381:752–762

    Article  PubMed  Google Scholar 

  2. Kojima G, Iliffe S, Walters K (2018) Frailty index as a predictor of mortality: a systematic review and meta-analysis. Age Ageing 47:193–200

    Article  PubMed  Google Scholar 

  3. Rockwood K, Song X, MacKnight C et al (2005) A global clinical measure of fitness and frailty in elderly people. CMAJ 173:489–495

    Article  PubMed  PubMed Central  Google Scholar 

  4. Church S, Rogers E, Rockwood K et al (2020) A scoping review of the Clinical Frailty Scale. BMC Geriatr 20:393

    Article  PubMed  PubMed Central  Google Scholar 

  5. Howlett SE, Rockwood MR, Mitnitski A et al (2014) Standard laboratory tests to identify older adults at increased risk of death. BMC Med 12:171

    Article  PubMed  PubMed Central  Google Scholar 

  6. Sapp DG, Cormier BM, Rockwood K et al (2023) The frailty index based on laboratory test data as a tool to investigate the impact of frailty on health outcomes: a systematic review and meta-analysis. Age Ageing. https://doi.org/10.1093/ageing/afac309

    Article  PubMed  Google Scholar 

  7. Umegaki H, Nagae M, Komiya H et al (2022) Association between changes in frailty during hospitalization in older adults and 3-month mortality after discharge. Eur Geriatr Med 13:1403–1406

    Article  PubMed  Google Scholar 

  8. Mahoney FI, Barthel DW (1965) FUNCTIONAL EVALUATION: THE BARTHEL INDEX. Md State Med J 14:61–65

    CAS  PubMed  Google Scholar 

  9. Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186

    Article  CAS  PubMed  Google Scholar 

  10. Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatric Res 12:189–198

    Article  CAS  Google Scholar 

  11. Charlson ME, Pompei P, Ales KL et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  CAS  PubMed  Google Scholar 

  12. Umegaki H, Nagae M, Komiya H et al (2023) Clinical significance of geriatric conditions in acute hospitalization. Geriatr Gerontol Int 23:50–53

    Article  PubMed  Google Scholar 

  13. Rubenstein LZ, Harker JO, Salvà A et al (2001) Screening for undernutrition in geriatric practice: developing the short-form mini-nutritional assessment (MNA-SF). J Gerontol A Biol Sci Med Sci 56:M366-372

    Article  CAS  PubMed  Google Scholar 

  14. Soh CH, Guan L, Reijnierse EM et al (2022) Comparison of the modified Frailty-Index based on laboratory tests and the Clinical Frailty Scale in predicting mortality among geriatric rehabilitation inpatients: RESORT. Arch Gerontol Geriatr 100:104667

    Article  PubMed  Google Scholar 

  15. The Ministry of Health, Labor and Welfare (2022) Overview of Revised Medical Fee Items 2022 (Japanese language only), https:www.mhlw.go.jp/content/12404000/000966248.pdf

  16. Kanda Y (2013) Investigation of the freely available easy-to-use software “EZR” for medical statistics. Bone Marrow Transplant 48:452–458

    Article  CAS  PubMed  Google Scholar 

  17. Rockwood K, McMillan M, Mitnitski A et al (2015) A frailty index based on common laboratory tests in comparison with a clinical frailty index for older adults in long-term care facilities. J Am Med Dir Assoc 16:842–847

    Article  PubMed  Google Scholar 

  18. Guan L, Soh CH, Reijnierse EM et al (2022) Association of a modified laboratory frailty index with adverse outcomes in geriatric rehabilitation inpatients: RESORT. Mech Ageing Dev 203:111648

    Article  PubMed  Google Scholar 

  19. Rockwood K, Theou O (2020) Using the Clinical Frailty Scale in allocating scarce health care resources. Can Geriatr J 23:210–215

    Article  PubMed  PubMed Central  Google Scholar 

  20. Theou O, Perez-Zepeda MU, van der Valk AM et al (2021) A classification tree to assist with routine scoring of the Clinical Frailty Scale. Age Ageing 50:1406–1411

    Article  PubMed  PubMed Central  Google Scholar 

  21. Ellis HL, Wan B, Yeung M et al (2020) Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results. CMAJ 192:E3–E8

    Article  PubMed  PubMed Central  Google Scholar 

  22. Cheung A, Haas B, Ringer TJ et al (2017) Canadian study of health and aging clinical frailty scale: does it predict adverse outcomes among geriatric trauma patients? J Am Coll Surg 225:e653

    Article  Google Scholar 

  23. Soh CH, Lim WK, Maier AB (2022) Predictors for the transitions of poor clinical outcomes among geriatric rehabilitation inpatients. J Am Med Dir Assoc 23:1800–1806

    Article  PubMed  Google Scholar 

  24. Chen C, Sia I, Ma HM et al (2014) The synergistic effect of functional status and comorbidity burden on mortality: a 16-year survival analysis. PLoS One 9:e106248

    Article  PubMed  PubMed Central  Google Scholar 

  25. Yang M, Ding X, Dong B (2014) The measurement of disability in the elderly: a systematic review of self-reported questionnaires. J Am Med Dir Assoc 15:e151-159

    Article  Google Scholar 

  26. Katz S, Ford AB, Moskowitz RW et al (1963) Studies of illness in the aged. the index of ADL: a standardized measure of biological and psychosocial function. JAMA 185:914–919

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the participants and staff members who helped with this study.

Funding

This work was supported by JSPS KAKENHI (Grant No. JP21H02826), and THE HORI SCIENCES AND ARTS FOUNDATION (Grant No. 31–1-031).

Author information

Authors and Affiliations

Authors

Contributions

HN: conceptualization, methodology, software, formal analysis, investigation, data curation, writing—original draft, visualization, and project administration. MN: investigation, data curation, writing—review & editing, and project administration. HK: investigation, and writing—review & editing. CF: investigation, and writing—review & editing. KW: investigation, and writing—review & editing. YY: investigation, and writing—review & editing. TT: investigation, and writing—review & editing. SM: investigation and writing—review & editing. TS: investigation and writing—review & editing. HU: conceptualization, validation, resources, writing—review & editing, supervision, project administration, and funding acquisition.

Corresponding author

Correspondence to Hirotaka Nakashima.

Ethics declarations

Conflict of interest

The authors declare there are no conflicts of interest. The sponsors played no role.

Ethical approval

The study protocol was approved by the Ethics Committee of Nagoya University Graduate School of Medicine (Approval No. 2019–0260) and conducted according to the principles of the Declaration of Helsinki and its amendments.

Consent to participate

Written informed consent was obtained from all patients or a family member if necessary.

Human and animal rights

The present study is an observational cohort study with human subjects. All methods in this study were conducted in accordance with the amended Declaration of Helsinki.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 96 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakashima, H., Nagae, M., Komiya, H. et al. Combined use of the Clinical Frailty Scale and laboratory tests in acutely hospitalized older patients. Aging Clin Exp Res 35, 1927–1935 (2023). https://doi.org/10.1007/s40520-023-02477-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-023-02477-w

Keywords

Navigation