ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2024
Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes.
Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Unintentional Weight Loss Does Not Predict Poor Outcomes in Zenker Diverticulum.The Laryngoscope · 2026Observational
- Is There an Ideal Method of Predicting Postoperative Complications Following Major Head and Neck Procedures?: A Comparative Analysis of Three Frailty Indices.Head & neck · 2026Article
- Otologic Surgery Risk Prediction: Risk Analysis Index-Administrative Versus Modified Frailty Index-5.The Laryngoscope · 2026Article
- Risk Analysis Index Versus mFI-5 for Predicting Outcomes After Uvulopalatopharyngoplasty.The Laryngoscope · 2026Article
- Risk Analysis Index Outperforms the Modified Frailty Index in Predicting Outcomes in Thyroidectomy and Parathyroidectomy.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026Article
- Risk Analysis Index Versus Modified Frailty Index: Outcomes After Otolaryngologic Surgery.The Laryngoscope · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
objectiveThe Risk Analysis Index (RAI) score is a screening tool to assess patient frailty. It has been shown to be predictive of postoperative outcomes and mortality in orthopedic, urologic, and neurosurgical patient populations. We sought to evaluate the predictive ability of RAI score for surgical outcomes in an otolaryngology patient population. STUDY
designRetrospective study.
settingAcademic tertiary medical center.
methodsA retrospective study was conducted of adult patients undergoing otolaryngology surgery at a tertiary medical care center over 21 months. Patients were sent electronic RAI survey questionnaires via direct messaging, which was completed prior to surgery. Endpoint data were analyzed, including demographics, RAI score, and patient outcome data. Univariate analysis, ROC curves, and predictive modeling were utilized.
resultsA total of 517 patients responded to the RAI questionnaire, resulting in a 59.6% response rate. Mean RAI score was 21.38 ± 11.83. Higher RAI scores were associated with increased 30-day readmissions (P < .0015), postoperative complications (P < .001), hospital length of stay (P < .001), and discharge with home health (P < .001). Predictive models for RAI score and postoperative outcomes were created, and a cutoff score of RAI = 30 was established to identify frail patients.
conclusionWe evaluated if RAI scoring predicted postoperative complications in an otolaryngology patient population. Increased RAI score is significantly associated with poorer surgical outcomes, including increased hospital length of stay, 30-day readmissions, and postoperative complications. We propose a predictive model with suggested RAI cutoff scoring for use in the otolaryngology surgical population.
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