FRAILTY VERSUS ASA CLASSIFICATION: WHICH BETTER PREDICTS POSTOPERATIVE ICU ADMISSION? : A SYSTEMATIC REVIEW

FRAILTY VERSUS ASA CLASSIFICATION: WHICH BETTER PREDICTS POSTOPERATIVE ICU ADMISSION? : A SYSTEMATIC REVIEW

Authors

  • Takhfa Nur Asyifa Faculty of Medicine, Universitas Lampung, Indonesia
  • Bambang Eko Subekti Department of Anesthesiology and Intensive Therapy, RSUD Dr. H. Abdul Moeloek, Lampung, Indonesia

Keywords:

Frailty, ASA classification, postoperative ICU admission, preoperative risk assessment, systematic review

Abstract

Background: Preoperative risk stratification is crucial for optimizing postoperative outcomes, particularly for predicting intensive care unit (ICU) admission. The American Society of Anesthesiologists (ASA) Physical Status Classification System is widely used but subjective and not designed to assess physiologic reserve. Frailty, a multidimensional syndrome of decreased reserve, is a promising alternative. This systematic review compares the predictive performance of frailty indices versus the ASA classification for postoperative ICU admission in adult surgical patients.

Methods: A systematic review was conducted following PRISMA guidelines. Studies were screened for dual assessment of frailty and ASA, adult surgical populations (≥18 years), reporting of ICU admission or related severe outcomes, and comparative statistical data. Data extraction focused on predictive performance metrics (odds ratios [OR], area under the curve [AUC]), study characteristics, and direct comparisons between frailty and ASA.

Results:  Frailty indices consistently demonstrated significant positive associations with adverse outcomes. In orthopaedic trauma (n=36,424), the modified Frailty Index (MFI) showed a stronger association with 30-day mortality (aOR 2.6) than ASA (aOR 2.5) [1]. In hip fracture patients, the Clinical Frailty Scale (CFS) had superior discriminative ability for mortality (AUC 0.699) compared to ASA (AUC 0.634) [2]. Frailty was the dominant predictor of mortality and serious complications in head and neck surgery [3] and vascular surgery (OR 2.058, p<0.001) [30]. For ICU-specific outcomes, frailty was associated with significantly higher odds of ICU admission in gynecologic oncology (OR 3.99) [6] and longer ICU stays in cardiac surgery [50]. Only one study (pituitary surgery) found ASA superior for rare ICU-level complications [5], while a hip fracture study found all scores performed poorly [7].

Discussion: The superiority of frailty over ASA stems from frailty’s multidimensional nature, capturing sarcopenia, cognitive impairment, and functional decline that determine recovery capacity. ASA, a subjective global rating, conflates stable comorbidities with acute issues and lacks reserve assessment. Context matters: frailty outperforms ASA in low-acuity and elective procedures but both are important in high-acuity emergencies. Combined models (e.g., Milan Bio-Surgical Score) show excellent predictive power (AUC 0.965) [17].

Conclusion: Frailty indices significantly outperform ASA classification for predicting postoperative ICU admission and related adverse outcomes across most surgical populations. Frailty assessment should be implemented as a standard adjunct to ASA for preoperative risk stratification and ICU planning.

References

1. Vu CL, Runner RP, Reisman W, Schenker M (2017) The frail fail: Increased mortality and post-operative complications in orthopaedic trauma patients. Injury. https://doi.org/10.1016/j.injury.2017.08.026

2. Narula S, Lawless A, D’Alessandro P, et al (2020) Clinical Frailty Scale is a good predictor of mortality after proximal femur fracture. Bone & Joint Open. https://doi.org/10.1302/2633-1462.18.BJO-2020-0089.R1

3. Adams PD, Ghanem T, Stachler R, et al (2013) Frailty as a predictor of morbidity and mortality in inpatient head and neck surgery. JAMA Otolaryngology - Head and Neck Surgery. https://doi.org/10.1001/jamaoto.2013.3969

4. Jimenez AE, Liu J, Chakravarti S, et al (2024) The hospital frailty risk score independently predicts postoperative outcomes in meningioma patients. Journal of clinical neuroscience. https://doi.org/10.1016/j.jocn.2024.03.019

5. Sukys JM, Jiang R, Manes R (2021) Assessing Risk of Severe Complications after Endoscopic Transnasal Transsphenoidal Surgery: A Comparison of Frailty, American Society of Anesthesiologists, and Comorbidity Scores. Skull Base. https://doi.org/10.1055/s-0041-1740577

6. Donato VD, Caruso G, Bogani G, et al (2021) Preoperative frailty assessment in patients undergoing gynecologic oncology surgery: A systematic review. Gynecologic Oncology. https://doi.org/10.1016/j.ygyno.2020.12.030

7. Boddaert J, Na N, Manach Y, et al (2017) Prediction of postoperative mortality in elderly patients with hip fracture: are specific and geriatric scores better than general scores? British Journal of Anaesthesia. https://doi.org/10.1093/bja/aex148

8. Beatty JW, Clarke J, Sounderajah V, et al (2021) Impact of the COVID-19 Pandemic on Emergency Adult Surgical Patients and Surgical Services. Annals of Surgery. https://doi.org/10.1097/SLA.0000000000005152

9. Kua J, Ramason R, Rajamoney G, Chong M (2016) Which frailty measure is a good predictor of early post-operative complications in elderly hip fracture patients? Archives of Orthopaedic and Trauma Surgery. https://doi.org/10.1007/s00402-016-2435-7

10. Lavezzo B, Biancofiore G, Luca E, et al (2025) Planning intensive care unit admission after elective major abdominal surgery: good clinical practice document by SIAARTI-SIC-ANIARTI. Journal of Anesthesia Analgesia and Critical Care. https://doi.org/10.1186/s44158-025-00239-w

11. Himič V, Lu VM, Mayrand R, et al (2026) Awake craniotomy for brain tumor resection in the elderly: an institutional experience. Journal of Neuro-Oncology. https://doi.org/10.1007/s11060-026-05421-w

12. Minervini A, Tellini R, Paparella L, Carini M (2019) EDITORIAL COMMENT. Urology. https://doi.org/10.1016/j.urology.2019.04.058

13. Sorolla B, Carmen M (2017) Utilidad de la Valoración Geriátrica Integral en pacientes sometidos a cirugía mayor abdominal

14. Akhavan A, Liu H, Alerte E, et al (2022) 38. Frailty Indices Versus Historic Risk Proxies to Predict 30-day Postsurgical Complications After Upper Extremity Tendon Reconstruction: A 4,250-patient Database Study. Plastic and Reconstructive Surgery - Global Open. https://doi.org/10.1097/01.gox.0000842480.13956.a9

15. Lakomkin N, Zuckerman S, Stannard B, et al (2019) Preoperative Risk Stratification in Spine Tumor Surgery - A Comparison of the Modified Charlson Index, Frailty Index, and ASA Score. Spine. https://doi.org/10.1097/BRS.0000000000002970

16. Cox RM, Hendy BA, Gutman M, et al (2021) Utilization of comorbidity indices to predict discharge destination and complications following total shoulder arthroplasty. Shoulder & Elbow. https://doi.org/10.1177/17585732211049726

17. Tariciotti L, Fiore G, Carapella S, et al (2022) A Frailty-Adjusted Stratification Score to Predict Surgical Risk, Post-Operative, Long-Term Functional Outcome, and Quality of Life after Surgery in Intracranial Meningiomas. Cancers. https://doi.org/10.3390/cancers14133065

18. Darvall J, Hubbard R (2018) Frailty and frailty-related factors are associated with postoperative complications in older patients undergoing elective surgery. BMJ evidence-based medicine. https://doi.org/10.1136/bmjebm-2018-110984

19. Oe S, Kato S, Lewis SJ, et al (2025) The Association Between Comorbidities and Medical Complications for Adult Spinal Deformity Surgery: What Factors Have the Greatest Impact on Adverse Events and Outcomes? Global Spine Journal. https://doi.org/10.1177/21925682231202376

20. Pitts KD, Arteaga AA, Stevens BP, et al (2019) Frailty as a Predictor of Postoperative Outcomes among Patients with Head and Neck Cancer. Otolaryngology Head & Neck Surgery. https://doi.org/10.1177/0194599818825466

21. Debopadhaya S, Marmor MT (2023) Frailty and comorbidity predict 30 day postoperative outcomes, independent of anatomical site of fracture. Archives of Orthopaedic and Trauma Surgery. https://doi.org/10.1007/s00402-023-04764-7

22. Li Z, Ding X (2018) The incremental predictive value of frailty measures in elderly patients undergoing cardiac surgery: A systematic review. Clinical Cardiology. https://doi.org/10.1002/clc.23021

23. Diaz AL, Lee W-Y, Oh C, Kimberly LL (2025) The Modified Frailty 5-Factor Index Predicts Adverse Outcomes After Ventral Hernia Repair in a National Database. Plastic and Reconstructive Surgery, Global Open. https://doi.org/10.1097/GOX.0000000000006411

24. Moura SP, Shaffrey EC, Lam CS, et al (2023) Modified Frailty Index predicts postoperative complications following adult-acquired buried penis surgery: A retrospective cohort study. Journal of Plastic, Reconstructive & Aesthetic Surgery. https://doi.org/10.1016/j.bjps.2023.11.034

25. Jemmett H, Khoo E, Dean C, et al (2024) EGS SO11 - A Retrospective Review of Perioperative Outcomes after Laparoscopic Cholecystectomy in Older Patients. British Journal of Surgery. https://doi.org/10.1093/bjs/znae271.101

26. Qian C, Knight H, Ferrone C, et al (2020) Randomized trial of a perioperative geriatric intervention for older adults with cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2020.38.15_suppl.12012

27. Liu H, Akhavan A, Yin R, et al (2023) Efficacy of the Modified 5-Item Frailty Index in Predicting Surgical-Site Infections in Patients Undergoing Breast Implant Augmentation: A National Surgical Quality Improvement Project-Based 5-Year Study. Aesthetic Surgery Journal Open Forum. https://doi.org/10.1093/asjof/ojad067

28. Shahrokni A, Tin A, Sarraf S, et al (2019) Reduced 90-day postoperative mortality through geriatric comanagement after cancer surgery. Journal of Clinical Oncology. https://doi.org/10.1200/JCO.2019.37.15_SUPPL.11512

29. Liu H, Akhavan A, Alerte E, et al (2022) 41. Using the Modified Frailty Index to Predict Complications in Breast Reduction: An Analysis of 14,366 Cases. Plastic and Reconstructive Surgery - Global Open. https://doi.org/10.1097/01.gox.0000842492.88817.3f

30. Karam JL, Tsiouris A, Shepard A, et al (2013) Simplified frailty index to predict adverse outcomes and mortality in vascular surgery patients. Annals of Vascular Surgery. https://doi.org/10.1016/j.avsg.2012.09.015

31. Abdullahi YS, Athanasopoulos LV, Casula R, et al (2017) Systematic review on the predictive ability of frailty assessment measures in cardiac surgery. Interactive Cardiovascular and Thoracic Surgery. https://doi.org/10.1093/icvts/ivw374

32. Al-Sarireh H, Al-Sarireh A, Hajibandeh S (2025) MTP2.01 Synergistic Effect of Sarcopenia and ASA Status in Predicting Mortality after Emergency Laparotomy: A Systematic Review and Meta-analysis with Meta-regression. British Journal of Surgery. https://doi.org/10.1093/bjs/znaf166.135

33. Ibelli TJ, Alerte E, Akhavan A, et al (2022) The Modified Five-Item Frailty Index to Predict Hand and Wrist Surgical Repair Postoperative Outcomes: An ACS-NSQIP Analysis of 11 369 Patients. HAND. https://doi.org/10.1177/15589447221124270

34. Olsson S, Halderman A, Ryan MW, et al (2025) Frailty and Postoperative Outcomes Following Endoscopic Endonasal Skull Base Surgery: A Scoping Review. Ear, nose, & throat journal. https://doi.org/10.1177/01455613251371434

35. Pérez RV, Marcos FÁ, Díaz CT, et al (2023) Psoas muscle analysis as a surrogate marker of sarcopenia and frailty: A multicenter analysis of predictive capacities over short- and long-term outcomes after abdominal aortic aneurysm repair. Vascular. https://doi.org/10.1177/17085381231193453

36. Chen H, Wang R (2024) Effect of Preoperative Accurate Evaluation and Intervention on Prognosis and Outcome in Elderly Patients with Painless Gastroenteroscopy: Protocol for A Single-Centre Randomized Controlled Trial. Asploro Journal of Biomedical and Clinical Case Reports. https://doi.org/10.36502/2024/asjbccr.6336

37. Vikatmaa P (2019) "Prediction is Difficult, Especially if it is About The Future" - Old Danish Proverb. European Journal of Vascular and Endovascular Surgery. https://doi.org/10.1016/j.ejvs.2019.05.022

38. Kolakshyapati M, Ikawa F, Abiko M, et al (2018) Multivariate risk factor analysis and literature review of postoperative deterioration in Karnofsky Performance Scale score in elderly patients with skull base meningioma. Neurosurgical Focus. https://doi.org/10.3171/2018.1.FOCUS17730

39. Lama J, Subramanian T, Asada T, et al (2025) Outcomes After 1- or 2-level Minimally Invasive Decompression for Patients with High 5-Item Modified Frailty Index. Spine. https://doi.org/10.1097/BRS.0000000000005333

40. Tsang Y, Hui JH, Hurley KH, et al (2026) Patient experiences and outcomes from a novel multidisciplinary preoperative shared decision-making clinic. Anaesthesia and Intensive Care. https://doi.org/10.1177/0310057x261427783

41. Keevil V, Romero‐Ortuno R (2015) Conference on ‘Nutrition and age-related muscle loss, sarcopenia and cachexia’ Symposium 1: Sarcopenia and cachexia: scale of the problem, importance, epidemiology and measurement Ageing well: a review of sarcopenia and frailty. Proceedings of the Nutrition Society

42. Ommundsen N, Wyller T, Nesbakken A, et al (2018) Preoperative geriatric assessment and tailored interventions in frail older patients with colorectal cancer: a randomized controlled trial. Colorectal Disease. https://doi.org/10.1111/codi.13785

43. Tecos ME, Kern BS, Foje N, et al (2020) Perioperative considerations in nonagenarians. Surgery Open Science. https://doi.org/10.1016/j.sopen.2020.03.004

44. Cattano D (2020) Faculty Opinions recommendation of Prospective cohort protocol examining the perioperative indicators for complications and early mortality following hip fracture surgery in the frail patient. Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature. https://doi.org/10.3410/f.738771591.793579136

45. Rostoft S, Audisio R (2017) Recent advances in cancer surgery in older patients. F1000Research. https://doi.org/10.12688/f1000research.10683.1

46. Griebling T (2016) Re: Geriatric Assessment in Surgical Oncology: A Systematic Review. Journal of Urology. https://doi.org/10.1016/j.juro.2015.12.060

47. Oshima K, Sawada Y, Isshiki Y, et al (2023) 1554: THE SIGNIFICANCE OF TREATMENT FOR ELDERLY SEVERE TRAUMA PATIENTS WHO REQUIRE INTENSIVE CARE. Critical Care Medicine. https://doi.org/10.1097/01.ccm.0001004372.32637.59

48. Sepehri A, Beggs T, Hassan A, et al (2014) The impact of frailty on outcomes after cardiac surgery: a systematic review. Journal of Thoracic and Cardiovascular Surgery. https://doi.org/10.1016/j.jtcvs.2014.07.087

49. Derwall M, Coburn M (2019) „Frailty“ als potenzieller Indikator des perioperativen Risikos alter Patienten. Der Anaesthesist. https://doi.org/10.1007/s00101-019-00699-0

50. Lee J, Yanagawa B, An KR, et al (2021) Frailty and pre-frailty in cardiac surgery: a systematic review and meta-analysis of 66,448 patients. Journal of Cardiothoracic Surgery. https://doi.org/10.1186/s13019-021-01541-8

51. Wagner D, DeMarco MAM, Amini N, et al (2016) Role of frailty and sarcopenia in predicting outcomes among patients undergoing gastrointestinal surgery. World Journal of Gastrointestinal Surgery. https://doi.org/10.4240/wjgs.v8.i1.27

52. Sandini M, Pinotti E, Persico I, et al (2017) Systematic review and meta‐analysis of frailty as a predictor of morbidity and mortality after major abdominal surgery. BJS Open. https://doi.org/10.1002/bjs5.22

53. Aitken R, Harun N-S, Maier A (2020) Which preoperative screening tool should be applied to older patients undergoing elective surgery to predict short-term postoperative outcomes? Lessons from systematic reviews, meta-analyses and guidelines. Internal and Emergency Medicine. https://doi.org/10.1007/s11739-020-02415-y

54. Schindele D, McDonough J, Müller-Wolff T (2026) Impact of frailty on postoperative delirium in ICU patients aged 65 and older: a systematic review. BMJ Open. https://doi.org/10.1136/bmjopen-2025-108249

55. Chikwe J, Adams D (2010) Frailty: the missing element in predicting operative mortality. Seminars in Thoracic and Cardiovascular Surgery. https://doi.org/10.1053/j.semtcvs.2010.09.001

56. Ling R, Ueno R, Alamgeer M, et al (2024) FRailty in Australian patients admitted to Intensive care unit after eLective CANCER-related SURGery: a retrospective multicentre cohort study (FRAIL-CANCER-SURG study). British Journal of Anaesthesia. https://doi.org/10.1016/j.bja.2024.01.020

57. Katz A, Alerte E, Akhavan A, et al (2022) Can Frailty Indices Predict Surgical Risk in Open Reduction and Fixation of Facial Fractures? The Journal of craniofacial surgery (Print). https://doi.org/10.1097/SCS.0000000000008825

58. Aceto P, Bassi P, Sollazzi L, et al (2020) Implementation of frailty preoperative assessment to predict outcome in patients undergoing urological surgery: a systematic review and meta‐analysis. BJU International. https://doi.org/10.1111/bju.15314

59. Onwochei D, Fabes J, Walker D, et al (2020) Critical care after major surgery: a systematic review of risk factors for unplanned admission. Anaesthesia. https://doi.org/10.1111/anae.14793

60. Eamer G, Al-Amoodi M, Holroyd-Leduc J, et al (2018) Review of risk assessment tools to predict morbidity and mortality in elderly surgical patients. American Journal of Surgery. https://doi.org/10.1016/j.amjsurg.2018.04.006

61. Akhavan A, Liu H, Alerte E, et al (2023) Frailty Indices Outperform Historic Risk Proxies as Predictors of Postabdominoplasty Complications: An Analysis of a National Database. Plastic and Reconstructive Surgery. https://doi.org/10.1097/PRS.0000000000010632

62. Polanczyk C, Marcantonio E, Goldman L, et al (2001) Impact of Age on Perioperative Complications and Length of Stay in Patients Undergoing Noncardiac Surgery. Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-134-8-200104170-00008

63. Marufu T, Mannings A, Moppett I (2015) Risk scoring models for predicting peri-operative morbidity and mortality in people with fragility hip fractures: Qualitative systematic review. Injury. https://doi.org/10.1016/j.injury.2015.10.025

64. Xu B, Yan S, Low L, et al (2019) Predictors of poor functional outcomes and mortality in patients with hip fracture: a systematic review. BMC Musculoskeletal Disorders. https://doi.org/10.1186/s12891-019-2950-0

65. Waxman B (2016) Medicine in small doses. ANZ journal of surgery. https://doi.org/10.1111/ans.13732

66. Kivrak S, Haller G (2020) Scores for preoperative risk evaluation of postoperative mortality. Bailliere's Best Practice & Research Clinical Anaesthesiology. https://doi.org/10.1016/j.bpa.2020.12.005

67. Bergese S, Villalobos ME (2022) Faculty Opinions recommendation of Implementation of a Frailty Assessment and Targeted Care Interventions and Its Association with Reduced Postoperative Complications in Elderly Surgical Patients. Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature. https://doi.org/10.3410/f.740705590.793591068

68. Ali B, Choi E, Barlas V, et al (2021) Modified Frailty Index (mFI) predicts 30-day complications after microsurgical breast reconstruction. Journal of Plastic Surgery and Hand Surgery. https://doi.org/10.1080/2000656X.2021.1962333

69. Assi A, Daher M, Zalaquett Z, et al (2024) Intensive Care Unit Admission After Spine Surgery: A Narrative Review. The International Journal of Spine Surgery. https://doi.org/10.14444/8593

70. Bess S, Line BG, Ames C, et al (2018) Wednesday, September 26, 2018 7:35 AM–9:00 AM ePosters. The spine journal. https://doi.org/10.1016/J.SPINEE.2018.06.617

71. Maeda K, Saiki Y (2018) Reconsideration of frailty in relation to surgical indication. General Thoracic and Cardiovascular Surgery. https://doi.org/10.1007/s11748-017-0869-7

72. Meng X, Press B, Renson A, et al (2018) Discriminative Ability of Commonly Used Indexes to Predict Adverse Outcomes After Radical Cystectomy: Comparison of Demographic Data, American Society of Anesthesiologists, Modified Charlson Comorbidity Index, and Modified Frailty Index. Clinical Genitourinary Cancer. https://doi.org/10.1016/j.clgc.2018.02.009

73. You J, Lv X, Rong Y, et al (2025) Analysis of frailty change trajectories and its risk factors in patients with gastrointestinal tumor surgery: a prospective observational longitudinal study. World Journal of Surgical Oncology. https://doi.org/10.1186/s12957-025-03924-w

74. Junger A, Engel J, Quinzio L, et al (2002) Risikoindizes, Scoring-Systeme und prognostische Modelle in der Anästhesie und Intensivmedizin. Teil I: Anästhesie. Anasthesiol Intensivmed Notfallmed Schmerzther. https://doi.org/10.1055/s-2002-33769

75. Zhao B, Zhang S, Chen Y, et al (2024) Risk factors for preoperative frailty in older patients with gastric cancer: a systematic review and meta-analysis. Supportive Care in Cancer. https://doi.org/10.1007/s00520-024-08654-5

76. Liu H, Akhavan A, Ibelli TJ, et al (2022) Using the Modified Frailty Index to Predict Complications in Breast Reduction: A National Surgical Quality Improvement Program Study of 14,160 Cases. Aesthetic surgery journal. https://doi.org/10.1093/asj/sjac059

77. Walsh M (2018) Improving outcomes in ambulatory anesthesia by identifying high risk patients. Current Opinion in Anaesthesiology. https://doi.org/10.1097/ACO.0000000000000653

78. Park B, Alani Z, Sulistio E, et al (2024) Frailty using the Clinical Frailty Scale to predict short- and long-term adverse outcomes following emergency laparotomy: meta-analysis. BJS Open. https://doi.org/10.1093/bjsopen/zrae078

79. Courville EN, Owodunni OP, Courville JT, et al (2024) 255 Frailty Is Associated With Decreased 365-day Survival in Adult Patients With Operative and Nonoperative Traumatic Subdural Hemorrhage. Neurosurgery. https://doi.org/10.1227/neu.0000000000002809_255

80. Bailey D, Halligan C, Davies R, et al (2022) Open Thoracoabdominal Aortic Aneurysm Repair in Cardiopulmonary Testing Era: A Correlative Cohort Analysis. https://doi.org/10.22541/au.164494546.63567656/v1

Downloads

Published

2026-08-27