Derivation and validation of a risk calculator for the prediction of incidence of complications following repair of Achilles Tendon Rupture

The Achilles tendon is the body's strongest and largest tendon. It is commonly injured, particularly among athletes, accounting for a significant portion of serious tendon injuries. Several factors play a precipitating role in increasing the risk of these injuries. Our objective is to derive an...

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Bibliographic Details
Published in:Journal of orthopaedic surgery and research 2024-08, Vol.19 (1), p.498-10, Article 498
Main Authors: Hemdanieh, Maya, Mzeihem, Majd, El Zouhbi, Anas, Tamim, Hani, Nassereddine, Mohamad
Format: Article
Language:English
Subjects:
Achilles repair
Achilles rupture
Achilles Tendon - injuries
Achilles Tendon - surgery
Adult
Aged
Athletes
Cohort Studies
Complications
Complications and side effects
Female
Humans
Hypertension
Incidence
Injuries
Male
Medical societies
Middle Aged
Orthopedic surgery
Postoperative Complications - epidemiology
Postoperative Complications - etiology
Quality control
Risk Assessment - methods
Risk calculator
Risk Factors
Rupture - epidemiology
Rupture - surgery
Tendon Injuries - epidemiology
Tendon Injuries - surgery
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Summary:The Achilles tendon is the body's strongest and largest tendon. It is commonly injured, particularly among athletes, accounting for a significant portion of serious tendon injuries. Several factors play a precipitating role in increasing the risk of these injuries. Our objective is to derive and validate a risk calculator for the prediction of incidence of any complication following Achilles tendon repair. We used de-identified data from the American College of Surgeons' National Surgical Quality Improvement Project (NSQIP) database from 2005 to 2021. It comprises 7010 individuals who had undergone Achilles tendon rupture repair. Demographic and risk factors information was collected. To develop the calculator, the sample was divided into a derivation cohort (40%) and a validation cohort (60%). Multivariate logistic regression was used for statistical analysis, and a risk calculator for incidence of any complication was derived from the derivation cohort and validated on the remaining 60% of the sample. Patients with missing data were excluded, and the significance level was set at p 
ISSN:1749-799X
1749-799X
DOI:10.1186/s13018-024-04921-7