ArticleLife (Basel, Switzerland)2021
High-Grade Limbs Open Fractures: Time to Find Milestones in the Emergency Setting.
Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Development of a Prediction Model for Postoperative Hypoproteinemia in Patients Undergoing Microsurgical Reconstructive Surgery: A Prospective Observational Study.Nursing open · 2026Observational
- Masquelet technique combined with modified Sauve‑Kapandji, negative pressure drainage and flap transplantation for the treatment of a Gustilo‑Anderson III type C open fracture of the forearm: A case report.Experimental and therapeutic medicine · 2022Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: The Gustilo-Anderson (G/A) grading system is a universally accepted tool used to classify high-grade limb open fractures. The purpose of this study is to find early independent predictors of amputation in emergency settings. (2) Methods: A retrospective analysis involving patients treated at our center between 2010 and 2016 was conducted. Patients with at least one G/A grade III fracture or post-traumatic amputation were included. Three groups were identified: G/A IIIA (A group), G/A IIIB-C (BC group), and Amputation group (AMP group). Each group was further divided into two subgroups considering timing of coverage (early vs. delayed). Univariate and multivariate logistic regression models were developed to identify independent predictors of the limb's outcome. (3) Results: One-hundred-six patients with G/A III A-B-C fractures or amputation of the affected limb were selected from the Niguarda Hospital Trauma Registry. The patients were divided into the A group (26), BC group (66), and AMP group (14). The rate of infectious complications following early or delayed coverage was evaluated: A group, 9.1% vs. 66.7% (
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