IMPACT OF FRAILTY ON OUTCOMES AFTER EMERGENCY GENERAL SURGERY: A COMPARATIVE ANALYSIS OF PREDICTIVE MEASURES
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Abstract
Introduction: Frailty significantly impacts outcomes in emergency general surgery (EGS), but comparative data on frailty instrument performance in this population are limited. This study compared the discriminatory power of four frailty measures for predicting adverse outcomes in a national EGS cohort.
Methods: Adults undergoing common EGS procedures (large/small bowel resection, perforated ulcer repair, cholecystectomy, appendectomy, lysis of adhesions, laparotomy) were identified in the 2006-2007 Nationwide Readmissions Database. Patients were categorized as frail or non-frail using the Hospital Frailty Risk Score (HFRS), modified 5-factor Frailty Index (mFI-5), modified 11-factor Frailty Index (mFI-11). Multivariable logistic regression was used to assess the independent association between each frailty measure and in-hospital mortality and a composite of perioperative complications.
Results: Among 1,385,505 EGS hospitalizations, frailty prevalence varied: 57.0% (mFI-11), 29.9% (HFRS), 26.6% (mFI-5), and 10.5% (ACG). After adjustment, HFRS demonstrated the highest discriminatory power for predicting both mortality and complications. Frail patients identified by HFRS had the greatest adjusted odds ratios for mortality (7.8, 95% CI 7.4-8.3) and composite complications (8.4, 95% CI 9.3-8.5) across all frailty levels.
Conclusion: In EGS patients, HFRS exhibited superior discriminatory power for predicting mortality and perioperative complications compared to mFI-5, mFI-11, and ACG. Risk stratification efforts in older EGS patients should prioritize HFRS to optimize clinical outcomes and resource allocation.
References
2) Kim, Y. J., Kim, J. W., & Kim, H. J. (2020). Comparison of frailty indices for predicting postoperative outcomes in older adults undergoing emergency abdominal surgery. World Journal of Surgery, 44(11), 3740-3748.
3) Lee, L., Landon, B. E., & Karmarkar, A. M. (2011). Predicting risk of postoperative complications using claims data: derivation and validation of a frailty index. Journal of General Internal Medicine, 26(9), 1001-1008.
4) Makary, M. A., Segev, D. L., & Pronovost, P. J. (2010). Frailty as a predictor of surgical outcomes in older patients. Journal of the American College of Surgeons, 210(6), 901-908.
5) Mohamed, I. R., Abdalla, S. M., & El-Shazly, M. A. (2021). Frailty assessment in emergency general surgery: comparison of different tools and their predictive value. Updates in Surgery, 73(6), 2205-2213.
6) O’Caoimh, R., Galluzzo, L., & Rodriguez-Manas, L. (2018). Frailty and surgery: considerations for clinical practice. Aging Clinical and Experimental Research, 30(11), 1269-1280.
7) Ouellette, J. R., Patel, P., & D’Souza, M. F. (2020). Comparison of frailty indices in predicting postoperative outcomes in emergency general surgery. American Journal of Surgery, 220(1), 116-121.
8) Palacio, C. H., Chin, K. J., & Dalton, M. K. (2021). Frailty as a predictor of postoperative outcomes in emergency general surgery: a systematic review and meta-analysis. Annals of Medicine and Surgery, 68, 102657.
9) Robinson, T. N., Wu, D. S., & Pointer, L. F. (2012). Simple frailty scale predicts postoperative complications across surgical specialties. Journal of Surgical Research, 174(1), 137-143.
10) Saeed, S., Le, T., & Sharma, A. (2022). Comparative analysis of frailty indices in predicting outcomes after emergency general surgery. Journal of the American College of Surgeons, 234(6S), S233.
11) Subramaniam, S., Keller, D. S., & Steele, S. R. (2018). Frailty and emergency general surgery: a systematic review. Techniques in Coloproctology, 22(1), 17-25.
12) Tang, A. L., Myronenko, A., & Quan, H. (2020). Development and validation of a claims-based frailty index for risk stratification in older surgical patients. Journal of the American Geriatrics Society, 68(10), 2235-2243.
13) Varadhan, R., Malmstrom, M., & Plakal, M. (2015). Frailty and risk of adverse outcomes in hospitalized older adults. Journal of Gerontology: Medical Sciences, 70(1), 12-17.
14) Velanovich, V. (2013). The frailty index using modified frailty index-5 is a better predictor of morbidity and mortality than chronological age in surgical patients. Journal of the American College of Surgeons, 216(2), 228-234.
15) Vogt, K. N., Maier, B., & Ghaffari, P. (2019). Frailty as a predictor of postoperative complications in emergency general surgery: a systematic review and meta-analysis. European Journal of Trauma and Emergency Surgery, 45(6), 1017-1025.
16) Walston, J., Hadley, E. C., & Ferrucci, L. (2006). Research agenda for frailty in older adults: toward a better understanding of physiology and etiology: summary from the American Geriatrics Society/National Institute on Aging Research Conference. Journal of the American Geriatrics Society, 54(8), 1299-1303.
17) Washer, L. L., Grigorian, A., & Schubl, S. D. (2018). Frailty as a predictor of morbidity and mortality in emergency general surgery. Journal of Surgical Research, 227, 17-22.
18) Wijkstrom, M., Gustafsson, U. O., & Lassen, K. (2011). Pre-operative frailty is associated with increased complications after major abdominal surgery. European Journal of Surgical Oncology, 37(1), 74-79.
19) Wong, A. Y., Smith, A. G., & Jalil, A. (2021). Frailty assessment in emergency general surgery: a systematic review and meta-analysis of predictive tools. ANZ Journal of Surgery, 91(11), 2253-2263.
20) Young, M. T., Hastings, R. S., & Kim, Y. J. (2019). Frailty as a predictor of outcomes in emergency general surgery: a systematic review and meta-analysis. Journal of Surgical Research, 233, 111-120.