Cargando…
Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes
Cranioplasty is a common surgical procedure used to repair cranial defects, and it is associated with significant morbidity and mortality. Although frailty is a strong predictor of poor postoperative outcomes across surgical specialties, little is known about frailty’s impact on cranioplasty outcome...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284328/ https://www.ncbi.nlm.nih.gov/pubmed/37351116 http://dx.doi.org/10.1097/GOX.0000000000005059 |
_version_ | 1785061378104492032 |
---|---|
author | Moya, Addi N. Owodunni, Oluwafemi P. Harrison, Joshua L. Shahriari, Shawhin R. Shetty, Anil K. Borah, Gregory L. Schmidt, Meic H. Bowers, Christian A. |
author_facet | Moya, Addi N. Owodunni, Oluwafemi P. Harrison, Joshua L. Shahriari, Shawhin R. Shetty, Anil K. Borah, Gregory L. Schmidt, Meic H. Bowers, Christian A. |
author_sort | Moya, Addi N. |
collection | PubMed |
description | Cranioplasty is a common surgical procedure used to repair cranial defects, and it is associated with significant morbidity and mortality. Although frailty is a strong predictor of poor postoperative outcomes across surgical specialties, little is known about frailty’s impact on cranioplasty outcomes. This study examined the association between frailty and cranioplasty by comparing the effect of the Risk Analysis Index-Administrative (RAI-A) and the Modified Frailty Index-5 (mFI-5) on cranioplasty outcomes. METHODS: The National Surgical Quality Improvement Program was queried for patients undergoing cranioplasty between 2012 and 2020. Receiver operating characteristics and multivariable analyses were used to assess the relationship of postoperative outcomes and the RAI-A, mFI-5, and increasing patient age. RESULTS: There were 2864 included study patients with a median age of 57 years (IQR, 44-67), and a higher proportion of patients were women (57.0%) and White (68.5%). The RAI-A had a more robust predictive ability for 30-day mortality (C-Statistic, 0.741; 95% confidence interval (CI), 0.678‐0.804) compared with mFI-5 (C-Statistic, 0.574; 95% CI, 0.489‐0.659) and increasing patient age (C-Statistic, 0.671; 95% CI, 0.610‐0.732). On multivariable analyses, frailty was independently associated with mortality and other poor postoperative outcomes (P < 0.05). CONCLUSIONS: The RAI-A demonstrated superior discrimination than the mFI-5 and increasing patient age in predicting mortality. Additionally, the RAI-A showed independent associations with nonhome discharge and postoperative complications (CDII, CDIIIb, and CDIV). The high rates of operative morbidity (5.0%–36.5%) and mortality (0.4%–3.2%) after cranioplasty highlight the importance of identifying independent risk factors for poor cranioplasty outcomes. |
format | Online Article Text |
id | pubmed-10284328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102843282023-06-22 Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes Moya, Addi N. Owodunni, Oluwafemi P. Harrison, Joshua L. Shahriari, Shawhin R. Shetty, Anil K. Borah, Gregory L. Schmidt, Meic H. Bowers, Christian A. Plast Reconstr Surg Glob Open Craniofacial/Pediatric Cranioplasty is a common surgical procedure used to repair cranial defects, and it is associated with significant morbidity and mortality. Although frailty is a strong predictor of poor postoperative outcomes across surgical specialties, little is known about frailty’s impact on cranioplasty outcomes. This study examined the association between frailty and cranioplasty by comparing the effect of the Risk Analysis Index-Administrative (RAI-A) and the Modified Frailty Index-5 (mFI-5) on cranioplasty outcomes. METHODS: The National Surgical Quality Improvement Program was queried for patients undergoing cranioplasty between 2012 and 2020. Receiver operating characteristics and multivariable analyses were used to assess the relationship of postoperative outcomes and the RAI-A, mFI-5, and increasing patient age. RESULTS: There were 2864 included study patients with a median age of 57 years (IQR, 44-67), and a higher proportion of patients were women (57.0%) and White (68.5%). The RAI-A had a more robust predictive ability for 30-day mortality (C-Statistic, 0.741; 95% confidence interval (CI), 0.678‐0.804) compared with mFI-5 (C-Statistic, 0.574; 95% CI, 0.489‐0.659) and increasing patient age (C-Statistic, 0.671; 95% CI, 0.610‐0.732). On multivariable analyses, frailty was independently associated with mortality and other poor postoperative outcomes (P < 0.05). CONCLUSIONS: The RAI-A demonstrated superior discrimination than the mFI-5 and increasing patient age in predicting mortality. Additionally, the RAI-A showed independent associations with nonhome discharge and postoperative complications (CDII, CDIIIb, and CDIV). The high rates of operative morbidity (5.0%–36.5%) and mortality (0.4%–3.2%) after cranioplasty highlight the importance of identifying independent risk factors for poor cranioplasty outcomes. Lippincott Williams & Wilkins 2023-06-21 /pmc/articles/PMC10284328/ /pubmed/37351116 http://dx.doi.org/10.1097/GOX.0000000000005059 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Craniofacial/Pediatric Moya, Addi N. Owodunni, Oluwafemi P. Harrison, Joshua L. Shahriari, Shawhin R. Shetty, Anil K. Borah, Gregory L. Schmidt, Meic H. Bowers, Christian A. Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes |
title | Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes |
title_full | Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes |
title_fullStr | Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes |
title_full_unstemmed | Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes |
title_short | Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes |
title_sort | preoperative frailty risk in cranioplasty patients: risk analysis index predicts adverse outcomes |
topic | Craniofacial/Pediatric |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284328/ https://www.ncbi.nlm.nih.gov/pubmed/37351116 http://dx.doi.org/10.1097/GOX.0000000000005059 |
work_keys_str_mv | AT moyaaddin preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT owodunnioluwafemip preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT harrisonjoshual preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT shahriarishawhinr preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT shettyanilk preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT borahgregoryl preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT schmidtmeich preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes AT bowerschristiana preoperativefrailtyriskincranioplastypatientsriskanalysisindexpredictsadverseoutcomes |