Obstet Gynecol Sci.  2022 Nov;65(6):513-521. 10.5468/ogs.22140.

Preoperative modified frailty index to predict surgical complications in endometrial cancer patients

Affiliations
  • 1Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand

Abstract


Objective
To assess the predictive value of the preoperative modified frailty index (mFI) for postoperative complications in endometrial carcinoma, evaluate risk factors associated with complications, and compare the predictive properties of the mFI with the American Society of Anesthesiologists (ASA) physical status classification.
Methods
A total of 364 patients with endometrial cancer who underwent primary surgery between January 2009 and December 2016 were examined. The prognostic value of mFI in predicting severe postoperative complications, assessed according to the Clavien-Dindo classification, was analyzed and compared with ASA status. The risk factors for adverse outcomes were determined using multivariate analysis.
Results
The 30-day postoperative surgical- or medical-related complication rate was 26.6%. The rates of postoperative complications were 1.3%, 8.8%, 12.2%, and 60.0% for mFI scores of 0, 1, 2, and ≥3, respectively (P<0.001). The odds ratios for predicting postoperative complications in patients with mFI scores of 1, 2, and ≥3 were 7.38, 10.59, and 114.75, respectively. In the multivariate analysis, the significant predictive factors for postoperative complications were mFI ≥1, body mass index (BMI) ≥30 kg/m2, and non-endometrioid cell type. At cut-off points of mFI ≥1 and ASA ≥2, both tools had similar sensitivities but mFI was more specific (sensitivities 92.9% vs. 100%; specificity 45.5% vs. 19.4%).
Conclusion
mFI provides a satisfactory predictive value for postoperative complications. Patients with an mFI score ≥1, a BMI ≥30 kg/m2, and a non-endometrioid subtype, are at risk of postoperative complications and should receive comprehensive preoperative and postoperative management.

Keyword

Frailty; Postoperative complications; Treatment outcomes; Risk factors

Reference

References

1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015; 136:359–86.
2. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin. 2015; 65:5–29.
Article
3. Imsamran W, Chaiwerawattana A, Wiangnon S, Pongnikorn D, Suwanrungrung K, Sangrajrang S, et al. Cancer in Thailand: Vol. VIII2010-2012 [Internet]. Bangkok National Cancer Institute;Thailand: c2015. [cited 2020 Aug 20]. Available from: URL: https://www.nci.go.th/th/File_download/Nci%20Cancer%20Registry/Cancer%20in%20Thailand8.pdf .
4. Wilailak S, Lertchaipattanakul N. The epidemiologic status of gynecologic cancer in Thailand. J Gynecol Oncol. 2016; 27:e65.
Article
5. Iyer R, Gentry-Maharaj A, Nordin A, Burnell M, Liston R, Manchanda R, et al. Predictors of complications in gynaecological oncological surgery: a prospective multicentre study (UKGOSOC-UK gynaecological oncology surgical outcomes and complications). Br J Cancer. 2015; 112:475–84.
6. Kodama J, Seki N, Ojima Y, Nakamura K, Hongo A, Hiramatsu Y. Risk factors for early and late postoperative complications of patients with endometrial cancer. Eur J Obstet Gynecol Reprod Biol. 2006; 124:222–6.
Article
7. Yin H, Gui T. Comparative analyses of postoperative complications and prognosis of different surgical procedures in stage II endometrial carcinoma treatment. Onco Targets Ther. 2016; 9:781–6.
8. Pitakkarnkul S, Chanpanitkitchot S, Tangjitgamol S. Management of inoperable endometrial cancer. Obstet Gynecol Sci. 2022; 65:303–16.
Article
9. Chand M, Armstrong T, Britton G, Nash GF. How and why do we measure surgical risk? J R Soc Med. 2007; 100:508–12.
Article
10. Jones HJ, de Cossart L. Risk scoring in surgical patients. Br J Surg. 1999; 86:149–57.
Article
11. Wakabayashi H, Sano T, Yachida S, Okano K, Izuishi K, Suzuki Y. Validation of risk assessment scoring systems for an audit of elective surgery for gastrointestinal cancer in elderly patients: an audit. Int J Surg. 2007; 5:323–7.
Article
12. Das N, Talaat AS, Naik R, Lopes AD, Godfrey KA, Hatem MH, et al. Risk adjusted surgical audit in gynaecological oncology: P-POSSUM does not predict outcome. Eur J Surg Oncol. 2006; 32:1135–8.
Article
13. Hamel MB, Henderson WG, Khuri SF, Daley J. Surgical outcomes for patients aged 80 and older: morbidity and mortality from major noncardiac surgery. J Am Geriatr Soc. 2005; 53:424–9.
Article
14. Cesari M, Gambassi G, van Kan GA, Vellas B. The frailty phenotype and the frailty index: different instruments for different purposes. Age Ageing. 2014; 43:10–2.
Article
15. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005; 173:489–95.
Article
16. Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. Scientific World-Journal. 2001; 1:323–36.
Article
17. Farhat JS, Velanovich V, Falvo AJ, Horst HM, Swartz A, Patton JH Jr, et al. Are the frail destined to fail? Frailty index as predictor of surgical morbidity and mortality in the elderly. J Trauma Acute Care Surg. 2012; 72:1526–30.
Article
18. Adams P, Ghanem T, Stachler R, Hall F, Velanovich V, Rubinfeld I. Frailty as a predictor of morbidity and mortality in inpatient head and neck surgery. JAMA Otolaryngol Head Neck Surg. 2013; 139:783–9.
Article
19. Velanovich V, Antoine H, Swartz A, Peters D, Rubinfeld I. Accumulating deficits model of frailty and postoperative mortality and morbidity: its application to a national database. J Surg Res. 2013; 183:104–10.
Article
20. Buigues C, Juarros-Folgado P, Fernández-Garrido J, Navarro-Martínez R, Cauli O. Frailty syndrome and preoperative risk evaluation: a systematic review. Arch Gerontol Geriatr. 2015; 61:309–21.
Article
21. Uppal S, Igwe E, Rice LW, Spencer RJ, Rose SL. Frailty index predicts severe complications in gynecologic oncology patients. Gynecol Oncol. 2015; 137:98–101.
Article
22. Tsiouris A, Hammoud ZT, Velanovich V, Hodari A, Borgi J, Rubinfeld I. A modified frailty index to assess morbidity and mortality after lobectomy. J Surg Res. 2013; 183:40–6.
Article
23. Dindo D, Clavien PA. What is a surgical complication? World J Surg. 2008; 32:939–41.
Article
24. Clavien PA, Barkun J, de Oliveira ML, Vauthey JN, Dindo D, Schulick RD, et al. The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg. 2009; 250:187–96.
25. Pierpont YN, Dinh TP, Salas RE, Johnson EL, Wright TG, Robson MC, et al. Obesity and surgical wound healing: a current review. ISRN Obes. 2014; 2014:638936.
Article
26. Owens WD, Felts JA, Spitznagel EL Jr. ASA physical status classifications: a study of consistency of ratings. Anesthesiology. 1978; 49:239–43.
27. Makary MA, Segev DL, Pronovost PJ, Syin D, Bandeen-Roche K, Patel P, et al. Frailty as a predictor of surgical outcomes in older patients. J Am Coll Surg. 2010; 210:901–8.
Article
28. Le Manach Y, Collins G, Rodseth R, Le Bihan-Benjamin C, Biccard B, Riou B, et al. Preoperative score to predict postoperative mortality (POSPOM): derivation and validation. Anesthesiology. 2016; 124:570–9.
Full Text Links
  • OGS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr