Abstract
Multiple pre-operative risk assessment scores are available for risk stratification of cancer patients undergoing surgery. This is the first study comparing commonly used preoperative risk assessment tools of Eastern Cooperative Oncology Group Performance Scale (ECOG) and American Society of Anaesthesiologists Physical Status Scale (ASA PS) with frailty scores of Modified Frailty Index (MFI) and Clinical Frailty Scale (CFS). This is a prospective observational study of adult cancer patients undergoing oncosurgery in a tertiary cancer center over one year. Pre-operative risk stratification was done using CFS, MFI, ASA PS, and ECOG scales. All patients were followed up postoperatively for 30 days, and complications were documented. Univariate and multivariate analyses were performed. p value of ≤0.05 was considered significant. Of the 4107 patients studied, 12.6% had prolonged hospitalization, 6.1% had morbidity, 0.9% had readmission, and mortality was 0.6%. ASA PS, ECOG, and CFS were significantly associated with prolonged hospitalization, morbidity, and mortality. MFI was significantly associated with prolonged hospitalization and morbidity. No score could predict readmission. On multivariate analysis, morbidity and readmission were significantly associated with neoadjuvant therapy (p=0.001), mortality with emergency surgery (p=0.001), and prolonged hospitalization with stage III and IV cancer (p=0.001). In adult patients undergoing oncosurgery, ASA PS, ECOG, and CFS are predictors of prolonged hospitalization, morbidity, and mortality. MFI is predictive of prolonged hospitalization and morbidity. None of the studied pre-operative risk scores predict readmission. Newer predictive tools with cancer-specific factors are required for better risk stratification of cancer patients undergoing surgery.
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References
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A et al (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–49
ASA (2005), Relative Value Guide. https://www.asahq.org/clinical/physicalstatus.htm. Accessed 23 Apr 2023
Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, Carbone PP (1982) Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol 5(6):649–55
Mitnitski AB, Graham JE, Mogilner AJ, Rockwood K (2002) Frailty, fitness and late-life mortality in relation to chronological and biological age. BMC Geriatr 27(2):1. https://doi.org/10.1186/1471-2318-2-1
Ethun CG, Bilen MA, Jani AB, Maithel SK, Ogan K, Master VA (2002) Frailty and cancer: Implications for oncology surgery, medical oncology, and radiation oncology. CA Cancer J Clin 67(5):362–377. https://doi.org/10.3322/caac.21406
Jauhari Y, Gannon MR, Dodwell D, Horgan K, Tsang C, Clements K, Medina J, Tang S, Pettengell R, Cromwell DA (2020) Addressing frailty in patients with breast cancer: a review of the literature. Eur J Surg Oncol 46(1):24–32. https://doi.org/10.1016/j.ejso.2019.08.011
Hogan DB, MacKnight C, Bergman H (2003) Steering Committee, Canadian Initiative on Frailty and Aging. Models, definitions, and criteria of frailty. Aging Clin Exp Res 15(3 Suppl):1–29
Tsiouris A, Hammoud ZT, Velanovich V, Hodari A, Borgi J, Rubinfeld I et al (2013) A modified Frailty Index to assess morbidity and mortality after lobectomy. J Surg Res 183(1):40–46. https://doi.org/10.1016/j.jss.2012.11.059
Farhat JS, Velanovich V, Falvo AJ, Horst HM, Swartz A, Patton JH Jr, Rubinfeld IS (2012) Are the frail destined to fail? Frailty index as predictor of surgical morbidity and mortality in the elderly. J Trauma Acute Care Surg 72(6):1526–30. https://doi.org/10.1097/TA.0b013e3182542fab. (discussion 1530-1)
Rockwood K, Song X, MacKnight C et al (2005) A global clinical measure of fitness and frailty in elderly people. CMAJ 173(5):489–495. https://doi.org/10.1503/cmaj.050051
Bagshaw SM, Stelfox HT, McDermid RC, Rolfson DB, Tsuyuki RT et al (2014) Association between frailty and short- and long-term outcomes among critically ill patients: a multicentre prospective cohort study. CMAJ 186(2):E95-102. https://doi.org/10.1503/cmaj.130639
Common Terminology Criteria for Adverse Events (CTCAE) Version 4.0. U.S. Department of Health and Human Services, National Institutes of Health, National Cancer Institute. https://evs.nci.nih.gov/ftp1/CTCAE/CTCAE_4.03_2010-06-14_QuickReference_5x7.pdf. Accessed 15 Mar 2023
Hanna TP, King WD, Thibodeau S, Jalink M, Paulin GA, Harvey-Jones E (2020) Mortality due to cancer treatment delay: systematic review and meta-analysis. BMJ 371:m4087. https://doi.org/10.1136/bmj.m4087
Ho PJ, Cook AR, Binte Mohamed Ri NK, Liu J, Li J, Hartman M (2020) Impact of delayed treatment in women diagnosed with breast cancer: a population-based study. Cancer Med 9(7):2435–2444. https://doi.org/10.1002/cam4.2830
Young J, Badgery-Parker T, Dobbins T, Jorgensen M, Gibbs P, Faragher I et al (2015) Comparison of ECOG/WHO performance status and ASA score as a measure of functional status. J Pain Symptom Manage 49(2):258–64
Simcock R, Wright J (2020) Beyond Performance Status. Clin Oncol (R Coll Radiol) 32(9):553–561. https://doi.org/10.1016/j.clon.2020.06.016
Montroni I, Ugolini G, Saur NM, Rostoft S, Spinelli A, Van Leeuwen BL et al (2022) Quality of life in older adults after major cancer surgery: the GOSAFE International Study. J Natl Cancer Inst 114(7):969–978. https://doi.org/10.1093/jnci/djac071
Gu C, Lu A, Lei C, Wu Q, Zhang X, Wei M, Wang Z et al (2022) Frailty index is useful for predicting postoperative morbidity in older patients undergoing gastrointestinal surgery: a prospective cohort study. BMC Surg 22(1):57. https://doi.org/10.1186/s12893-022-01471-9
Vermillion SA, Hsu FC, Dorrell RD, Shen P, Clark CJ (2017) Modified frailty index predicts postoperative outcomes in older gastrointestinal cancer patients. J Surg Oncol 115(8):997–1003. https://doi.org/10.1002/jso.24617
Pichatechaiyoot A, Thannil S, Boonyapipat S, Buhachat R (2022) Preoperative modified frailty index to predict surgical complications in endometrial cancer patients. ObstetGynecol Sci 65(6):513–521. https://doi.org/10.5468/ogs.22140
Hewitt J, Carter B, McCarthy K, Pearce L, Law J, Wilson FV et al (2019) Frailty predicts mortality in all emergency surgical admissions regardless of age. An observational study. Age Ageing 48(3):388–394. https://doi.org/10.1093/ageing/afy217
Hewitt J, Long S, Carter B, Bach S, McCarthy K, Clegg A (2018) The prevalence of frailty and its association with clinical outcomes in general surgery: a systematic review and meta-analysis. Age Ageing 47(6):793–800. https://doi.org/10.1093/ageing/afy110
Cihoric M, Tengberg LT, Foss NB, Gögenur I, Tolstrup MB, Bay-Nielsen M (2020) Functional performance and 30-day postoperative mortality after emergency laparotomy-a retrospective, multicenter, observational cohort study of 1084 patients. Perioper Med (Lond) 9:13. https://doi.org/10.1186/s13741-020-00143-7
Gattani S, Ramaswamy A, Noronha V, Castelino R, Kumar S, Abhijith R et al (2022) ECOG performance status as a representative of deficits in older Indian patients with cancer: a cross-sectional analysis from a large cohort study. Cancer Res Statistics Treat 5(2):256–262. https://doi.org/10.4103/crst.crst_127_22
Rosa F, Tortorelli AP, Quero G, Galiandro F, Fiorillo C, Sollazzi L, Alfieri S (2019) The impact of preoperative ASA-physical status on postoperative complications and long-term survival outcomes in gastric cancer patients. Eur Rev Med Pharmacol Sci 23(17):7383–7390. https://doi.org/10.26355/eurrev_201909_18846
Shahid RK, Ahmed S, Le D, Yadav S (2021) Diabetes and cancer: risk, challenges, management and outcomes. Cancers (Basel) 13(22):5735. https://doi.org/10.3390/cancers13225735
Lange SA, Reinecke H (2022) Coronary artery disease and cancer: treatment and prognosis regarding gender differences. Cancers (Basel) 14(2):434. https://doi.org/10.3390/cancers14020434
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Bhargavan, R., Philip, F.A., KM, J.K. et al. Comparison of Modified Frailty Index, Clinical Frailty Scale, ECOG Score, and ASA PS Score in Predicting Postoperative Outcomes in Cancer Surgery: A Prospective Study. Indian J Surg Oncol (2024). https://doi.org/10.1007/s13193-024-01995-x
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DOI: https://doi.org/10.1007/s13193-024-01995-x