Evidence map›Paper›PMID 41782056›Full record

ArticleArthroplasty (London, England)2026

Risk analysis index demonstrates superior predictive performance compared to traditional frailty metrics in elderly female patients undergoing inpatient total shoulder arthroplasty.

Cameron J Sabet, Bhav Jain, Bara M Hammadeh, Abdulhalim Kikhia, Mohammad D Alfawareh

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Article in Arthroplasty (London, England), 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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5 · Who and what money

Authors and funding

5 authors.

Cameron J SabetGeorgetown University Medical Center, Washington, DC, 20007, USA.
Bhav JainStanford Medicine, Stanford, CA, 94305, USA.
Bara M HammadehFaculty of Medicine, Al-Balqa' Applied University, Salt, 19117, Jordan.
Abdulhalim KikhiaTishreen University, Latakia, 2230, Syrian Arab Republic. Abdulhalimkikhia@gmail.com.
Mohammad D AlfawarehDepartment of Spine and Orthopedic Surgery, King Hussein Cancer Center, Amman, 11941, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile frailty assessment has become integral to preoperative risk stratification, the optimal measurement tool remains unclear for elderly women undergoing total shoulder arthroplasty (TSA). This study compared the predictive performance of the Risk Analysis Index (RAI) against traditional metrics, including the modified frailty index-5 (mFI-5) and Geriatric Nutritional Risk Index (GNRI) in this specific population.

methodsWe conducted a retrospective analysis of ACS NSQIP data from 2015-2021, including female patients aged 65-89 undergoing inpatient TSA. RAI incorporates age, functional status, recent weight loss, and physiological markers, including renal failure, congestive heart failure, and dyspnea. The mFI-5 assesses five comorbidities (diabetes, hypertension, COPD, heart failure, functional dependence), while the GNRI evaluates nutritional status using albumin and body weight. The discriminative ability of RAI, mFI-5, and GNRI was assessed using area under the curve (AUC) analysis for multiple 30-day outcomes. Primary outcomes were non-home discharge and extended length of stay (≥ 4 days), selected based on their clinical importance for discharge planning and quality metrics. Secondary outcomes included 30-day mortality, major and minor complications, readmission, and reoperation. Discriminative ability was assessed using area under the curve (AUC) analysis. Internal validation was performed using bootstrap resampling.

resultsAmong 11,965 patients analyzed, RAI demonstrated superior predictive performance for primary outcomes with AUCs of 0.784 for non-home discharge and 0.670 for extended length of stay, significantly outperforming mFI-5 (AUCs 0.601 and 0.590, respectively) and GNRI (AUCs 0.544 and 0.543). For secondary outcomes, RAI maintained competitive performance across mortality, complications, readmissions, and reoperations.

conclusionThe Risk Analysis Index provides superior discrimination for non-home discharge and extended length of stay compared to traditional frailty measures in elderly female TSA patients, with particularly strong predictive performance for discharge disposition, supporting its adoption as the preferred risk stratification tool for discharge planning in this population. Video Abstract.

Indexed as

Frailty AssessmentGeriatric SurgeryRisk Analysis IndexSurgical OutcomesTotal Shoulder Arthroplasty

Identifiers

PMID41782056
PMCPMC12961877

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