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Orthopaedic Proceedings
Vol. 105-B, Issue SUPP_9 | Pages 23 - 23
17 Apr 2023
Wu Y
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We investigated factors associated with postoperative lipiduria and hypoxemia in patients undergoing surgery for orthopedic fractures. We enrolled patients who presented to our emergency department due to traumatic fractures between 2016 and 2017. We collected urine samples within 24 hours after the patients had undergone surgery to determine the presence of lipiduria. Hypoxemia was defined as an SpO2 <95% determined with a pulse oximeter during the hospitalization. Patients’ anthropometric data, medical history, and laboratory test results were collected from the electronic medical record. Logistic regression analyses were used to determine the associations of clinical factors with postoperative lipiduria and hypoxemia with multivariate adjustment. A total of 144 patients were analyzed (mean age 51.3 ± 22.9 years, male 50.7%). Diabetes (odd ratio 3.684, 95% CI 1.256-10.810, p=0.018) and operation time (odd ratio 1.005, 95% CI 1.000-1.009, p=0.029) were independently associated with postoperative lipiduria, while age (odd ratio 1.034, 95% CI 1.003-1.066, p=0.029), body mass index (odd ratio 1.100, 95% CI 1.007-1.203, p=0.035), and operation time (odd ratio 1.005, 95% CI 1.000-1.010, p=0.033) were independently associated with postoperative hypoxemia. We identified several factors independently associated with postoperative lipiduria and hypoxemia in patients with fracture undergoing surgical intervention. Operation time was associated with both postoperative lipiduria and hypoxemia, and we recommend that patients with prolonged operation for fractures should be carefully monitored for clinical signs related to fat embolism syndrome


Orthopaedic Proceedings
Vol. 103-B, Issue SUPP_13 | Pages 141 - 141
1 Nov 2021
Moretti B
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Aim. This study aims to define the normal postoperative presepsin kinetics in patients undergoing primary cementless total hip replacement (THR). Methods. Patients undergoing primary cementless THR at our Institute were recruited. At enrollment anthropometric data, smocking status, osteoarthritis stage according to Kellgren and. Lawrence, Harris Hip Score (HHS), drugs assumption and comorbidities were recorded. All the patients underwent serial blood tests, including complete blood count, presepsin (PS) and C-Reactive Protein (CRP) 24 hours before arthroplasty and at 24-, 48-, 72- and 96-hours postoperatively and at 3-, 6- and 12-months follow-up. Statistical analysis was performed with SPSS v25.0 (SPSS Inc, Chicago, IL, USA). The Wilcoxon and Kruskal-Wallis tests followed by the Dunn multiple comparison post hoc tests were carried out. Correlations between PS, CRP and TOT were assessed using the Spearman rank correlation coefficient. P values below 0.05 were considered significant. Results and conclusion. A total of 96 patients were recruited (51 female; 45 male; mean age= 65.74±5.58) were recruited. The mean PS values were: 137.54 pg/ml at baseline, 192.08 pg/ml at 24-hours post-op; 254.85 pg/ml at 48-hours post-op; 259 pg/ml at 72-hours post-op; 248.6 pg/ml at 96-hour post-op; 140.52 pg/ml at 3-months follow-up; 135.55 pg/ml at 6-months follow-up and 130.11 pg/ml at 12-months follow-up. In two patients (2.08%) a soft-tissue infection was observed; in these patients higher levels (>350pg/mL) were recorded at 3-months follow-up. The lack of a presepsin decrease at 96 hours post-operatively should be a predictive factor of infection


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_4 | Pages 87 - 87
1 Apr 2018
Sant Z Mifsud L Muscat C
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Designs of medical devices are tested for their mechanical behaviour, ability to transfer the load that is normally bore by the healthy tissue, and prove of the resistance to fatigue. The virtual testing in silico is widely accepted technique based on three sets of input data – geometry is normally obtained from CT or MRI scan as well as the tissue density that is translated into mechanical properties of the tissue. The virtual behaviour of the system is controlled by set of constrains accordingly while the third set of data consist of the load that system normally transfers through the load-bearing tissue. The magnitude and character of the load is highly dependent on the physical activity, external loads, physical condition of the subject and its specific factors such as gender, health condition, etc. Most of the published simulations use estimated simplified loads, which barely simulate the real behaviour of the system. The evaluation of the spinal load published some years back estimated a normal (N) and shear force (S) accompanied by the flexing moment (M). Due to lack of experimental possibility we used these data to test the biomechanical response of the lumbar segment with isotropic material models of all tissues. Then we investigated the possibility to evaluate muscular forces and their recruitment. It is a complex task and even today it is not possible to measure directly in vivo all muscular forces contributing to the movement. The musculo-skeletal system is a statically indeterminate system. The forces can be solved by means of computational modelling based on the measured trajectories of the body motion and additional optimization functions combined with static equations. The trajectories were recorded by the fast camera system in our motion laboratory and consequently exported into an open simulation software that uses a generic skeleton with around two hundreds muscle fascicles. The skeleton was scaled to correspond to our subject's anthropometric data and further scaling to mock-up the generic vertebrae was performed to eliminate discrepancies between the generic and subject's bones. Once these adjustments were done a kinematics and inverse dynamics modules were engage with selected objective function controlling the muscular recruitment that the max. relative muscular force is as small as possible. The 84 muscular forces acting on the segment were exported to a text file in APDL language and uploaded in the Finite Element (FE) database. The results of FE analysis were compared to the results obtained earlier using N,S,M load [1]. The comparison between the two models shows that the results of segment's total displacement was reduced by 36 percent compared to initial results. The stress and stress intensity increased six times. The identical model with orthotropic material showed reduced displacement by 80 percent and the stress and stress intensity was reduced by 60 percent compared to initial results