Evidence map›Paper›PMID 42027345›Full record

ArticleIndian journal of orthopaedics2026

Risk Analysis Index as a Predictor of Mortality and Failure to Rescue in Patients Undergoing Distal Femur Fracture Fixation.

Kush Modi, Omar Sbaih, Jared Sasaki, Victor Koltenyuk, Nithin Gupta, Hursch Patel, James D Miller

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Article in Indian journal of orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kush ModiGeorgetown University School of Medicine, Washington, DC USA.
Omar SbaihGeorgetown University School of Medicine, Washington, DC USA.
Jared SasakiSchool of Medicine, New York Medical College, 40 Sunshine Cottage Road, Valhalla, NY 10595 USA.ORCID 0009-0006-4846-7605
Victor KoltenyukBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, MI USA.
Nithin GuptaBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, MI USA.
Hursch PatelDepartment of Orthopaedic Surgery, OhioHealth Doctors Hospital, Columbus, OH USA.
James D MillerDepartment of Orthopaedic Surgery, OhioHealth Doctors Hospital, Columbus, OH USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study sought to evaluate the use of frailty, compared to age alone and American Society of Anesthesiologists (ASA) score, for prediction of mortality and failure to rescue (FTR) in patients undergoing surgical fixation of distal femur fractures (DFFs). Methods: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for patients who underwent surgical management of DFFs. Frailty was evaluated using the 5-Item Modified Frailty Index (mFI-5) and Risk Analysis Index (RAI). Outcomes included 30-day mortality and FTR (mortality following major complication). Multivariate regression and receiver operating characteristic curve (AUROC) analyses were performed to assess odds ratio (OR) and discriminatory accuracy (quantified by C-statistic), respectively. Results: There were 2638 patients (median age 73 years) undergoing DFF fixation included in this study. Of these, 90 (3.4%) patients experienced mortality, while FTR occurred in 51 (1.9%) patients. Increasing frailty, as rated by the mFI-5 and RAI, was significantly associated with higher odds of 30-day mortality and FTR in patients undergoing surgical fixation of DFF. Additionally, RAI showed superior discriminatory accuracy for 30-day mortality and FTR compared to mFI-5, age, and ASA. Conclusions: The RAI demonstrates superior predictive value and discriminatory accuracy for postoperative mortality. Given these findings, frailty as measured by the RAI may be a useful bedside screening tool to identify patients at risk for adverse outcomes. In doing so, patients can be optimized preoperatively to improve clinical care.

Indexed as

Distal femur fracturesFailure to rescueFrailtyMortalityRisk Analysis Index

Identifiers

PMID42027345
PMCPMC13100094

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