Aug 2026· Internal medicine journal (Print)· 0 citations· 41 references
Medicine
TL;DR
Given its faster administration, the CFS may represent a practical tool for routine perioperative risk stratification, though prospective validation is required to confirm performance in real-time clinical workflows.
Abstract
Background
With major lower limb orthopaedic surgery performed in increasingly older and comorbid patients, accurate risk prediction is essential to guide perioperative management and shared decision-making.
Aims
To compare the Clinical Frailty Scale (CFS), Charlson Comorbidity Index (CCI) and the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator (ACS NSQIP Calculator) in predicting complications following major lower limb orthopaedic surgery.
Methods
We conducted an audit assessing the clinical utility of the CFS, CCI and ACS NSQIP Calculator at an Australian tertiary hospital (2023-2024). Scores were calculated retrospectively using admission documentation, and complications were identified prospectively.
Results
We recruited 302 patients with a mean age of 75.1 ± 12.7 years. Patients underwent surgery for hip fracture (n = 100), elective total knee (n = 103) and hip (n = 69) arthroplasty and other indications (n = 30). During index hospitalisation, 27.5% (n = 83) experienced a serious complication (Clavien-Dindo Grade ≥ II). All tools demonstrated moderate discrimination for serious in-hospital complications; the CFS, CCI and ACS NSQIP Calculator had area under the receiver operating characteristic curves of 0.77 (95% confidence interval (CI) 0.71-0.83), 0.71 (95% CI 0.64-0.77) and 0.76 (95% CI 0.70-0.82) respectively. The CFS was the fastest tool to administer, and the ACS NSQIP Calculator was the most time-consuming (median time 9.5 s (interquartile range (IQR) 7-13) vs 98.5 s (IQR 73-165), P < 0.001).
Conclusion
The CFS and ACS NSQIP Calculator demonstrated similar predictive performance in this cohort. Given its faster administration, the CFS may represent a practical tool for routine perioperative risk stratification, though prospective validation is required to confirm performance in real-time clinical workflows.
In this study, ASA-PS and CFS demonstrated comparable performance in predicting ICU admission; however, neither scale retained independent predictive value after adjustment for age, coronary artery disease, and type of anesthesia.
D. Kalaycı, T. Aşkın· Journal of Clinical Medicine· 0 citations
BACKGROUND
Simultaneous bilateral total knee arthroplasty (TKA) is associated with increased perioperative risk compared with unilateral procedures, making accurate risk stratification essential. Several comorbidity indices are widely used in arthroplasty; however, their comparative performance in simultaneous bilatera...
Shang-Wen Tsai, Cheng-Yang Chang, Yueh-Ting Hung et al.· Journal of Arthroplasty· 0 citations
Hospital Frailty Risk Score-defined frailty risk categories are independently associated with increased healthcare resource utilization and postoperative complications after TKA, and support the potential utility of HFRS for preoperative risk stratification and individualized perioperative care planning.
Lin-Jia Li, Zhi-han Wang, Yuan Wu et al.· Journal of Orthopaedic Surge...· 0 citations
Frailty, age, and female sex are significant predictors of non-routine discharge in elderly inpatients undergoing surgical fixation for displaced olecranon fractures, highlighting the importance of incorporating frailty assessments into both preoperative surgical decision-making and postoperative discharge planning to...
Davis Hedbany, Victor Koltenyuk, Matthew Merckling et al.· Montefiore Einstein Journal...· 0 citations
BACKGROUND
Femoral neck fractures (FNFs) are common in the elderly and are typically treated operatively. Tools like frailty assessments may be critical for evaluating peri- and postoperative patient needs. Our study evaluated the utility of frailty, measured by the Risk Analysis Index (RAI) and the Modified 5-Item Fra...
Ethan Parisier, Victor Koltenyuk, Nithin K. Gupta et al.· Journal of Arthroplasty· 0 citations
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