Decision-making algorithm for sequential treatment of diaphyseal bone gaps in war-wounded patients in the Middle East.
Int Orthop
; 43(12): 2653-2659, 2019 12.
Article
em En
| MEDLINE
| ID: mdl-30798351
INTRODUCTION: Tibial bone gaps after war injuries are common and can be managed by different types of surgery, including compression, bone graft, tibialisation of fibula, bone transport, and free flaps. Here, we present an algorithm developed at a humanitarian surgical hospital to manage tibial bone gaps. We also identify some key factors affecting patient outcomes and describe some clinical considerations for choosing treatment strategy. METHOD: We performed retrospective data analysis on war-wounded adult patients with tibial injuries treated at our project according to the described algorithm. Patient outcomes were followed for at least four years. Outcomes assessed were length of stay, complication rate, re-admission (late complications), and final discharge. RESULTS: Among the 200 included patients, 103 (51.5%) had bone gaps. Univariate analysis showed that the presence of a bone gap, but not its size, was associated with significantly increased risk of early complications, while type of surgery was significantly correlated with re-admission. Presence of a bone gap and type of surgery were each significantly associated with length of stay. Bone gap size showed no correlation with outcomes, an unexpected finding. DISCUSSION: Soft tissue damage with compromised vascularity may explain the lack of association between bone gap size and outcomes. Specialised centres using standardised approaches to complex surgical reconstruction can play an important role in expanding the evidence base needed to improve case management. CONCLUSIONS: Less invasive procedures may lead to better patient outcomes, although unfortunately may not always be possible given the nature of the injury and/or injury site.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Diáfises
Tipo de estudo:
Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article