Tanner Campbell, Mateo Kirwan, Vafa Behzadpour, Tanner Langvardt, Johnathan Dallman, Yanjie Huang, Renan C Castillo, Nathan N O'Hara, Robert V O'Toole, Brent Wise
{"title":"创伤骨科手术中骨折相关感染预测评分的外部验证。","authors":"Tanner Campbell, Mateo Kirwan, Vafa Behzadpour, Tanner Langvardt, Johnathan Dallman, Yanjie Huang, Renan C Castillo, Nathan N O'Hara, Robert V O'Toole, Brent Wise","doi":"10.3928/01477447-20240809-02","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to externally validate a predictive score for fracture-related infections, establishing generalizability for absolute and relative risk of infection in the setting of orthopedic fracture surgery.</p><p><strong>Materials and methods: </strong>This was a retrospective, case-control study performed at a level I academic trauma center that included 147 patients with fracture-related infection in the study group and 300 control patients. We analyzed the same 8 independent predictors of fracture-related infection cited by a previous study. We then used the area under the receiver operating characteristics curve (AUC) to compare the derivation and validation cohorts. The validation and derivation cohorts were then compared by grouping patients into 4 strata of Wise score groups. This allowed for comparison of AUC and risk of fracture-related infection in our institution with those in the previously studied institution.</p><p><strong>Results: </strong>The resulting data yielded an AUC (0.74) nearly identical to that of the previously studied institution. It was also found that the relative risk of infection correlated with the Wise score in the same way the initial model did with the absolute risks being similar.</p><p><strong>Conclusion: </strong>The previous predictive model was externally validated and shown to be generalizable to a different patient population. The relative risk of a fracture-related infection can be determined using this scoring model preoperatively with the goal of aiding in patient counseling and surgical decision-making, giving a quantitative value to patient risk factors. [<i>Orthopedics</i>. 2024;47(5):e268-e272.].</p>","PeriodicalId":19631,"journal":{"name":"Orthopedics","volume":" ","pages":"e268-e272"},"PeriodicalIF":1.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"External Validation of a Predictive Score for Fracture-Related Infections in Orthopedic Trauma Surgery.\",\"authors\":\"Tanner Campbell, Mateo Kirwan, Vafa Behzadpour, Tanner Langvardt, Johnathan Dallman, Yanjie Huang, Renan C Castillo, Nathan N O'Hara, Robert V O'Toole, Brent Wise\",\"doi\":\"10.3928/01477447-20240809-02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The purpose of this study was to externally validate a predictive score for fracture-related infections, establishing generalizability for absolute and relative risk of infection in the setting of orthopedic fracture surgery.</p><p><strong>Materials and methods: </strong>This was a retrospective, case-control study performed at a level I academic trauma center that included 147 patients with fracture-related infection in the study group and 300 control patients. We analyzed the same 8 independent predictors of fracture-related infection cited by a previous study. We then used the area under the receiver operating characteristics curve (AUC) to compare the derivation and validation cohorts. The validation and derivation cohorts were then compared by grouping patients into 4 strata of Wise score groups. This allowed for comparison of AUC and risk of fracture-related infection in our institution with those in the previously studied institution.</p><p><strong>Results: </strong>The resulting data yielded an AUC (0.74) nearly identical to that of the previously studied institution. It was also found that the relative risk of infection correlated with the Wise score in the same way the initial model did with the absolute risks being similar.</p><p><strong>Conclusion: </strong>The previous predictive model was externally validated and shown to be generalizable to a different patient population. The relative risk of a fracture-related infection can be determined using this scoring model preoperatively with the goal of aiding in patient counseling and surgical decision-making, giving a quantitative value to patient risk factors. 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External Validation of a Predictive Score for Fracture-Related Infections in Orthopedic Trauma Surgery.
Background: The purpose of this study was to externally validate a predictive score for fracture-related infections, establishing generalizability for absolute and relative risk of infection in the setting of orthopedic fracture surgery.
Materials and methods: This was a retrospective, case-control study performed at a level I academic trauma center that included 147 patients with fracture-related infection in the study group and 300 control patients. We analyzed the same 8 independent predictors of fracture-related infection cited by a previous study. We then used the area under the receiver operating characteristics curve (AUC) to compare the derivation and validation cohorts. The validation and derivation cohorts were then compared by grouping patients into 4 strata of Wise score groups. This allowed for comparison of AUC and risk of fracture-related infection in our institution with those in the previously studied institution.
Results: The resulting data yielded an AUC (0.74) nearly identical to that of the previously studied institution. It was also found that the relative risk of infection correlated with the Wise score in the same way the initial model did with the absolute risks being similar.
Conclusion: The previous predictive model was externally validated and shown to be generalizable to a different patient population. The relative risk of a fracture-related infection can be determined using this scoring model preoperatively with the goal of aiding in patient counseling and surgical decision-making, giving a quantitative value to patient risk factors. [Orthopedics. 2024;47(5):e268-e272.].
期刊介绍:
For over 40 years, Orthopedics, a bimonthly peer-reviewed journal, has been the preferred choice of orthopedic surgeons for clinically relevant information on all aspects of adult and pediatric orthopedic surgery and treatment. Edited by Robert D''Ambrosia, MD, Chairman of the Department of Orthopedics at the University of Colorado, Denver, and former President of the American Academy of Orthopaedic Surgeons, as well as an Editorial Board of over 100 international orthopedists, Orthopedics is the source to turn to for guidance in your practice.
The journal offers access to current articles, as well as several years of archived content. Highlights also include Blue Ribbon articles published full text in print and online, as well as Tips & Techniques posted with every issue.