Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes

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Auteurs principaux: Lauran K. Evans, Clare Moffatt, Keon Niknejad, Hong‐Ho Yang, Laura Kodaverdian, Shady Soliman, Francis Reyes Orozco, Dinesh K. Chhetri
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Publié: Wiley 2024
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author Lauran K. Evans
Clare Moffatt
Keon Niknejad
Hong‐Ho Yang
Laura Kodaverdian
Shady Soliman
Francis Reyes Orozco
Dinesh K. Chhetri
author_facet Lauran K. Evans
Clare Moffatt
Keon Niknejad
Hong‐Ho Yang
Laura Kodaverdian
Shady Soliman
Francis Reyes Orozco
Dinesh K. Chhetri
Lauran K. Evans
Clare Moffatt
Keon Niknejad
Hong‐Ho Yang
Laura Kodaverdian
Shady Soliman
Francis Reyes Orozco
Dinesh K. Chhetri
collection Wiley Open Access
contents Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes Lauran K. Evans Clare Moffatt Keon Niknejad Hong‐Ho Yang Laura Kodaverdian Shady Soliman Francis Reyes Orozco Dinesh K. Chhetri Otolaryngology–Head and Neck Surgery AbstractObjectiveThe 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. 10.1002/ohn.899 http://creativecommons.org/licenses/by-nc-nd/4.0/
doi_str_mv 10.1002/ohn.899
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institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
publishDate 2024
publisher Wiley
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spellingShingle Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes
Lauran K. Evans
Clare Moffatt
Keon Niknejad
Hong‐Ho Yang
Laura Kodaverdian
Shady Soliman
Francis Reyes Orozco
Dinesh K. Chhetri
Otolaryngology–Head and Neck Surgery
Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes Lauran K. Evans Clare Moffatt Keon Niknejad Hong‐Ho Yang Laura Kodaverdian Shady Soliman Francis Reyes Orozco Dinesh K. Chhetri Otolaryngology–Head and Neck Surgery AbstractObjectiveThe 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. 10.1002/ohn.899 http://creativecommons.org/licenses/by-nc-nd/4.0/
title Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes
topic Otolaryngology–Head and Neck Surgery
url https://aao-hnsfjournals.onlinelibrary.wiley.com/doi/10.1002/ohn.899