Skip to main content
Log in

Optimal Assessment of Frailty Predicts Postoperative Complications in Older Patients with Colorectal Cancer Surgery

  • Original Scientific Report
  • Published:
World Journal of Surgery Aims and scope Submit manuscript

Abstract

Objectives

The increasingly elderly worldwide population has affected the incidence of colorectal cancer. Establishment of reliable assessment of frailty and proposals for multi-disciplinary interventions are urgently required in oncology practices. Kihon Checklist (KCL) was published by the Japanese Ministry of Health, Labor and Welfare originally to identify individuals ≥ 65 years old at probable risk for requiring care or social support. We investigate the validity of KCL for frailty assessment to predict postoperative complication in older patients with colorectal cancer.

Methods

Consecutive colorectal cancer patients aged ≥ 65 (n = 500) were prospectively examined between May 2017 and December 2018. Preoperative frailty assessment was conducted by the G8 questionnaire and KCL. The main outcome measures were correlation between frailty, other clinical variables, and postoperative complications within 30 days after elective surgery.

Results

Of the 500 patients, 278 (55.6%) and 164 (32.8%) patients were classified as ‘frail’ by G8 and KCL, respectively. Overall complications counted among 97 patients (19.4%), and they were significantly associated with KCL ≥ 8-frail (46/164, p = 0.001), as opposed to G8 ≤ 14-frail (56/278, p = 0.531). Multivariate analysis showed that KCL ≥ 8 (hazard ratio 1.88, 95% confidence interval 1.16–3.04, p = 0.011) was an independent risk factor for these complications.

Conclusions

KCL assessment can identify frail older patients likely to suffer from postoperative complications after colorectal cancer surgery. Preoperative screening of frailty, particularly by KCL, would help older patients prevent their worse outcomes in colorectal cancer.

Trial registration

UMIN000026689.

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.

Similar content being viewed by others

References

  1. Decoster L, Van Puyvelde K, Mohile S et al (2015) Screening tools for multidimensional health problems warranting a geriatric assessment in older cancer patients: an update on SIOG recommendations. Ann Oncol 26:288–300

    Article  CAS  Google Scholar 

  2. Hurria A, Wildes T, Blair SL et al (2014) Senior adult oncology, version 2.2014: clinical practice guidelines in oncology. J Nat Compre Cancer Netw 12:82–126

    Article  Google Scholar 

  3. Pallis AG, Fortpied C, Wedding U et al (2010) EORTC elderly task force position paper: approach to the older cancer patient. Eur J Cancer 46:1502–1513

    Article  CAS  Google Scholar 

  4. Russo C, Giannotti C, Signori A et al (2018) Predictive values of two frailty screening tools in older patients with solid cancer: a comparison of SAOP2 and G8. Oncotarget 9:35056–35068

    Article  Google Scholar 

  5. Fried LP, Tangen CM, Walston J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 56:M146-156

    Article  CAS  Google Scholar 

  6. Saxton A, Velanovich V (2011) Preoperative frailty and quality of life as predictors of postoperative complications. Ann Surg 253:1223–1229

    Article  Google Scholar 

  7. Kim SW, Han HS, Jung HW et al (2014) Multidimensional frailty score for the prediction of postoperative mortality risk. JAMA Surg 149:633–640

    Article  Google Scholar 

  8. Schuurmans H, Steverink N, Lindenberg S et al (2004) Old or frail: what tells us more? J Gerontol A Biol Sci Med Sci 59:M962-965

    Article  Google Scholar 

  9. Rolfson DB, Majumdar SR, Tsuyuki RT et al (2006) Validity and reliability of the Edmonton Frail scale. Age ageing 35:526–529

    Article  Google Scholar 

  10. Searle SD, Mitnitski A, Gahbauer EA et al (2009) A standard procedure for creating a frailty index. BMC Griatr 8:24

    Article  Google Scholar 

  11. Gobbens RJ, van Assen MA, Luijkx KG et al (2010) The Tilburg Frailty Indicator: psychometric properties. J Am Med Dir Assoc 11:344–355

    Article  Google Scholar 

  12. Morley JE, Malmstrom TK, Miller DK (2012) A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging 16:601–608

    Article  CAS  Google Scholar 

  13. Vellas B, Balardy L, Gillette-Guyonnet S et al (2013) Looking for frailty in community-dwelling older persons: the Gerontopole Frailty Screening Tool (GFST). J Nutr Health Aging 17:629–631

    Article  CAS  Google Scholar 

  14. Satake S, Senda K, Hong YJ et al (2016) Validity of the Kihon checklist for assessing frailty status. Geriatr Gerontol Int 16:709–715

    Article  Google Scholar 

  15. Sewo Sampaio PY, Sampaio RA, Yamada M et al (2014) Validation and translation of the Kihon Checklist (frailty index) into Brazilian Portuguese. Geriatr Gerontol Int 14:561–569

    Article  Google Scholar 

  16. Maseda A, Lorenzo-Lopez L, Lopez-Lopez R et al (2017) Spanish translation of the Kihon checklist (frailty index). Geriatr Gerontol Int 17:515–517

    Article  Google Scholar 

  17. Esenkaya ME, Dokuzlar O, Soysal P et al (2019) Validity of the Kihon Checklist for evaluating frailty status in Turkish older adults. Geriatr Gerontol Int 19:616–621

    PubMed  Google Scholar 

  18. Bellera CA, Rainfray M, Mathoulin-Pelissier S et al (2012) Screening older cancer patients: first evaluation of the G-8 geriatric screening tool. Ann Oncol 23:2166–2172

    Article  CAS  Google Scholar 

  19. WHO (2011) Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. World Health Organization, Vitamin and Mineral Nutrition Information System, Geneva

    Google Scholar 

  20. Kenis C, Decoster L, Van Puyvelde K et al (2014) Performance of two geriatric screening tools in older patients with cancer. J Clin Oncol 32:19–26

    Article  Google Scholar 

  21. Liuu E, Canoui-Poitrine F, Tournigand C et al (2014) Accuracy of the G-8 geriatric-oncology screening tool for identifying vulnerable elderly patients with cancer according to tumour site: the ELCAPA-02 study. J Geriatr Oncol 5:11–19

    Article  Google Scholar 

  22. Yamamoto S, Inomata M, Katayama H et al (2014) Short-term surgical outcomes from a randomized controlled trial to evaluate laparoscopic and open D3 dissection for stage II/III colon cancer: Japan clinical oncology group study JCOG 0404. Ann Surg 260:23–30

    Article  Google Scholar 

  23. Lacy AM, Garcia-Valdecasas JC, Delgado S et al (2002) Laparoscopy-assisted colectomy versus open colectomy for treatment of non-metastatic colon cancer: a randomised trial. Lancet 359:2224–2229

    Article  Google Scholar 

  24. Nelson H, Sargent DJ, Wieand HS et al (2004) A comparison of laparoscopically assisted and open colectomy for colon cancer. N Engl J Med 350:2050–2059

    Article  CAS  Google Scholar 

  25. Fagard K, Casaer J, Wolthuis A et al (2017) Value of geriatric screening and assessment in predicting postoperative complications in patients older than 70 years undergoing surgery for colorectal cancer. J Geriatr Oncol 8:320–327

    Article  Google Scholar 

  26. Souwer ETD, Verweij NM, van den Bos F et al (2018) Risk stratification for surgical outcomes in older colorectal cancer patients using ISAR-HP and G8 screening tools. J Geriatr Oncol 9:110–114

    Article  Google Scholar 

  27. Tanaka S, Ueno M, Iida H et al (2018) Preoperative assessment of frailty predicts age-related events after hepatic resection: a prospective multicenter study. J Hepatobiliary Pancreat Sci 25:377–387

    Article  Google Scholar 

  28. Masoomi H, Kang CY, Chen A et al (2012) Predictive factors of in-hospital mortality in colon and rectal surgery. J Am Coll Surg 215:255–261

    Article  Google Scholar 

  29. Yap R, Wilkins S, Staples M et al (2016) The effect of diabetes on the perioperative outcomes of colorectal cancer surgery patients. PLoS ONE 11:e0167271

    Article  Google Scholar 

  30. Hu WH, Eisenstein S, Parry L et al (2019) Preoperative malnutrition with mild hypoalbuminemia associated with postoperative mortality and morbidity of colorectal cancer: a propensity score matching study. Nutr J 18:33

    Article  Google Scholar 

Download references

Acknowledgements

All authors appreciate the staff involved with the surgery and treatment. We acknowledge proofreading and editing by Benjamin Phillis at the Clinical Study Support Center, Wakayama Medical University.

Funding

The authors declare that they have no sources of funding.

Author information

Authors and Affiliations

Authors

Contributions

KT, KM, and HY contributed to the study conception and design; KT, YF, MI, KM, NY, TH, KN, YS, KT, HI, and YM collected the data; :KM and HY were involved in the analysis and interpretation of data; KT and KM contributed to manuscript writing; HY contributed to the approval of final article.

Corresponding author

Correspondence to Hiroki Yamaue.

Ethics declarations

Conflicts of interest

The authors have no conflicts of interest to declare.

Consent to participate

Informed consent was obtained from all individual participants included in this study.

Ethical statement

For this prospective multi-center study, the authors received approval of Wakayama Medical University Ethics Committee following ethical guidelines for medical and health research involving human subjects.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tamura, K., Matsuda, K., Fujita, Y. et al. Optimal Assessment of Frailty Predicts Postoperative Complications in Older Patients with Colorectal Cancer Surgery. World J Surg 45, 1202–1209 (2021). https://doi.org/10.1007/s00268-020-05886-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00268-020-05886-4

Navigation