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Orthopaedic Proceedings
Vol. 98-B, Issue SUPP_15 | Pages 11 - 11
1 Sep 2016
Al-Naser S Nicolaou N Giles S Fernandes J
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The aim of the study was to review the effectiveness of rigid IM nailing in stabilisation and deformity correction of lower limb long bones in adolescents with metabolic bone disease which to our knowledge has not been studied before. Medical records and radiographs were retrospectively reviewed looking at indications, deformity correction, number of osteotomies-if needed, bone healing, time to healing and incidence of complications. Between Aug 2010 and Mar 2015 fifteen patients (24 segments) had rigid IM nailing. Ten patients had Osteogenesis Imperfecta, four with McCune Albright syndrome and one with hypophosphatemic rickets. 22 femora and two tibiae were IM nailed. The mean age of the patients was 13.1 (9.6–16.75 years). Eleven out 24 segments were previously rodded. Eight segments were for acute fractures. 13 bones had significant deformities requiring corrective osteotomies. One patient had previous fracture non union. All patients were allowed to partial weight bear immediately postoperatively and were fully mobile six weeks following surgery. Mean follow up was 24 months (3–51 months) post-operatively. All deformities were corrected. All fractures and osteotomies radiologically united. Mean radiological union time was 5.5 months (6 weeks – 11 months). Patients with acute fractures had mean radiological union time of 4 months. Patients who had osteotomies had a mean radiological union time of 7.1 months. The patient with previous non union had BMP at the same time and radiologically healed in 10 months. Two patients had persistent bisphosphonate osteotomy lines but were asymptomatic. One patient had removal of a prominent distal locking screw and one had persistent Trendelenburg gait. Rigid intramedullary nailing is effective in stabilisation and deformity correction of long bones in adolescent patients with brittle bone disease. The technique has a low complication rate. We recommend the use of this technique in paediatric limb reconstruction in managing metabolic bone conditions


Bone & Joint Open
Vol. 5, Issue 7 | Pages 581 - 591
12 Jul 2024
Wang W Xiong Z Huang D Li Y Huang Y Guo Y Andreacchio A Canavese F Chen S

Aims

To investigate the risk factors for unsuccessful radial head reduction (RHR) in children with chronic Monteggia fractures (CMFs) treated surgically.

Methods

A total of 209 children (mean age 6.84 years (SD 2.87)), who underwent surgical treatment for CMFs between March 2015 and March 2023 at six institutions, were retrospectively reviewed. Assessed risk factors included age, sex, laterality, dislocation direction and distance, preoperative proximal radial metaphysis width, time from injury to surgery, reduction method, annular ligament reconstruction, radiocapitellar joint fixation, ulnar osteotomy, site of ulnar osteotomy, preoperative and postoperative ulnar angulation, ulnar fixation method, progressive ulnar distraction, and postoperative cast immobilization. Independent-samples t-test, chi-squared test, and logistic regression analysis were used to identify the risk factors associated with unsuccessful RHR.


The Bone & Joint Journal
Vol. 101-B, Issue 9 | Pages 1160 - 1167
1 Sep 2019
Wang WT Li YQ Guo YM Li M Mei HB Shao JF Xiong Z Li J Canavese F Chen SY

Aims

The aim of this study was to clarify the factors that predict the development of avascular necrosis (AVN) of the femoral head in children with a fracture of the femoral neck.

Patients and Methods

We retrospectively reviewed 239 children with a mean age of 10.0 years (sd 3.9) who underwent surgical treatment for a femoral neck fracture. Risk factors were recorded, including age, sex, laterality, mechanism of injury, initial displacement, the type of fracture, the time to reduction, and the method and quality of reduction. AVN of the femoral head was assessed on radiographs. Logistic regression analysis was used to evaluate the independent risk factors for AVN. Chi-squared tests and Student’s t-tests were used for subgroup analyses to determine the risk factors for AVN.