gms | German Medical Science

14th Triennial Congress of the International Federation of Societies for Surgery of the Hand (IFSSH), 11th Triennial Congress of the International Federation of Societies for Hand Therapy (IFSHT)

17.06. - 21.06.2019, Berlin

Frailty is a Predictor of Unplanned Reoperation in Management of Forearm Fracture

Meeting Abstract

  • presenting/speaker Kamil Amer - Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Dominick Congiusta - Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Jennifer Thomson - Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Irfan Ahmed - Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Michael Vosbikian - Rutgers New Jersey Medical School, Newark, New Jersey, United States

International Federation of Societies for Surgery of the Hand. International Federation of Societies for Hand Therapy. 14th Triennial Congress of the International Federation of Societies for Surgery of the Hand (IFSSH), 11th Triennial Congress of the International Federation of Societies for Hand Therapy (IFSHT), 11th Triennial Congress of the International Federation of Societies for Hand Therapy (IFSHT). Berlin, 17.-21.06.2019. Düsseldorf: German Medical Science GMS Publishing House; 2020. DocIFSSH19-1469

doi: 10.3205/19ifssh1307, urn:nbn:de:0183-19ifssh13079

Veröffentlicht: 6. Februar 2020

© 2020 Amer et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Objectives/Interrogation: Frailty is an important predictor of surgical outcomes. It has been quantified by several models, including the modified frailty index (mFI), which has demonstrated applicability in many surgical subspecialties. We aim to conduct the first decade-long retrospective analysis of frailty and unplanned reoperations after forearm fractures.

Methods: We used the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database 2005-2014 to identify closed radial and/or ulnar fractures using ICD-9 and ICD-10 codes. The mFI was calculated based on the presence or absence of 15 possible comorbid conditions. Our primary outcome was unplanned reoperation. Chi square and multivariate logistic regressions were used to identify significant predictors of outcomes.

Results and Conclusions: Table 1 [Tab. 1], Table 2 [Tab. 2], Table 3 [Tab. 3]

Our study analyzed the relationship of frailty and postoperative complications in patients with forearm fractures. With a frailty score of 3 or greater, patients had increased odds of having an unplanned reoperation, independent of other comorbidities and demographic factors.