Aims: Displaced proximal humeral fractures are considered a real challenge. Malunion, nonunion, avascular necrosis, arthritis are frequent complications. Thus revision surgery, using reverse shoulder prosthesis, is mandatory both to restore shoulder function and to relieve pain.

Our purpose was to understand if clinical outcomes after revision surgery are influenced by the first surgical procedure performed to fix the fracture.

Methods: 15 patients, mean age 67±2 yrs, sustained a complex humeral fracture. Group A (8 patients) was treated with reduction and fixation with K-wires, while in Group B (7 patients) a cemented hemiarthroplasty was performed. After primary surgical treatment, both groups required revision surgery and a shoulder reverse prosthesis was implanted.

Constant score, Flexion, VAS scale and Dash questionnaire were evaluated preoperatively and at 1 year after revision surgery,

Results: Constant Score improved from 7 to 42 points in Group A, while in Group B from 15 to 41 points (n.s.). Flexion in Group A improved from 30° to 106°, while in Group B from 44° to 94° (n.s.). VAS value decreased from 9 to 2 in Group A and from 8 to 5 in Group B (n.s.). Dash value decreased from 82 to 49 points in Group A and from 75 to 55 points in Group B (n.s.).

Conclusions: This study demonstrates that reverse shoulder prosthesis offers a salvage-type solution in revision surgery reguardless the surgical treatmet performed previously. In conclusion reverse shoulder prosthesis is an important tool the surgeon can use in shoulder revision surgery.

Aim: Evaluate the incidence of complications related to timing (time between admission ad operation) and oral antiplatelet/anticoagulant therapy in patients treated for a hip fracture.

Materials and Methods: We prospectively evaluated 5 groups of 30 patients each, selected out of 875 consecutive patients admitted at the First Aid Unit of our Hospital with a proximal femoral fracture: group A – patients on Warfarin therapy, treated more than 5 days after admission (in order to allow the wash-out of Warfarin, as advised by many Anaesthesiologist Associations); B – patients treated more than 5 days after admission, not on Warfarin therapy; C – patients treated less than 48 hours after admission, not on Warfarin therapy; D – patients on Aspirin/NSAIDS therapy, treated more than 5 days after admission; E – patients on Ticlopidine/Clopidogrel therapy, treated more than 5 days after admission. The groups were comparable regarding age, gender, pre-trauma walking ability, mental state, fracture type and treatment. Blood loss, number of RBC transfusions, complications during hospitalization and up to 6 months after discharge, duration of hospitalization, degree of functional recovery and 2 years mortality were recorded. Statistical analysis included Kruskall-Wallis, U-Mann-Whitney and Logistic Regression Tests (SPSS 13.0 software).

Results: Group A showed higher preoperative blood loss (p=0.002), and longer hospitalization (p< 0.001), compared to all other groups. Groups D and E showed no higher complication and mortality rate in comparison to group B and C, while group A showed higher complication and mortality rate. Standing alone, timing and Warfarin appear not to be significant risk factors, while taken together they represent a high risk factor for complications ad mortality (p=0.009).

Conclusion: Patients on Warfarin therapy, affected by hip fracture, are at high risk of complications and mortality, if the recommendation of postponing treatment until drug wash-out is accepted. Reversal of anticoagulation using vitamin K and straight-forward treatment should be considered. Antiplatelet therapy appears not to have the same adverse effect as anticoagulant therapy.

Aims: evaluate the relationship between Singh index (SI), bone mineral density (BMD) examining bone mechanical properties from ex-vivo human femoral heads.

Methods: we collected the femoral heads of 22 patients that underwent arthroplastic for fracture of femoral head under low energy trauma. 5 patients were male while 17 were female. In each patient a pelvis X-ray was performed to estimate Singh Index. From 2 to 3 bone cylinders of cancellous bone were obtained from each femoral head. 52 bone cylinders (7x10mm) were obtained. In each specimen densitometric scans were performed by means of a Hologic QDR 4500 X-ray densitometer, using a small animal software. The coefficient of variation (CV) was calculated by repositioning a sample for 5 scans by different operators. The data obtained were expressed as bone mineral content (BMC) and bone mineral density (BMD). Compression tests with a JJ Instruments T5K machine were conducted on 52 spongy bone cylinders. Each specimen was loaded in movement control; maximum failure load and Young modulus were recorded.

Results The CV for the precision was 1.8% for BMC and 2.7% for BMD. There are no differences between males and females in age, BMC, BMD and Young modulus, while there is a significant difference in maximum load and SI. As regards SI values, there are significant differences among different categories of SI for age, sex, BMC, BMD, Young modulus and maximum failure load. Considering each sample position, namely 1, 2 or 3, there was no significant difference in densitometric parameters and in mechanical properties Statistical analyses of correlations by Pearson’s coefficient showed significant inverse correlations between age and mechanical bone properties (Young modulus and maximum failure load), while the correlations between BMC, BMD and biomechanical bone behaviour were strictly direct Linear regression model demonstrated only maximum load predictors are Young modulus and BMD

Conclusions The maximum failure load is lower in females than in males with similar BMD but lower SI for different SI categories there are significant differences both in biomechanical behaviour both in densitometric parameters.The age is inversely correlated with bone densitometric features and bone biomechanical behaviour, while bone density is directly correlated with bone strength and elastic modulus.The bone strength is predicted with 93% accuracy by Young modulus and BMD.