Background: Calcaneus is a spongy cancellous bone with rich blood supply , its fracture heals more rapidly providing no occurrence of infection and soft tissue injury around ,no gross malposition of fragments. The associated pain leads to a major impairment in life quality. The aim of treatment for calcaneal fractures is the decrease of pain and rebuilding of walking ability for patients with normal foot shape and the ability to wear normal foot wear. To reduce complications, a minimally invasive technique for the treatment of displaced intra-articular fractures of the calcaneus was preferred to use. The purpose of this study was to determine whether the closed reduction and percutaneous K. wire fixation of displaced intra-articular calcaneal fractures results in better functional outcome at a minimum one year follow up after the injury compared with those after non-operative management. Methods: One hundred and eleven displaced closed intra-articular calcaneal fracture in 105 patients (six were bilateral) were seen at the orthopedic department of Al-Kindy teaching hospital and Shaih Zaid hospital , only 45 cases included in this study and prospectively evaluated with an average follow-up time of minimum of one year (1–3years follow-up). For radiographic evaluation, plain radiographs and CT scans were obtained. The Maryland Foot Score was used for clinical estimate. Sanders type II, III and IV fractures were diagnosed. Results: The incidence of subtalar arthritis was correlated with the severity of fracture. Böhler’s angle was restored in 70.1% (47 of 67) of the cases. The majority (77.7%) of patients were content with their treatment result. The rate of significant complications was 6.5%. Discussion: Percutaneous K. wire fixation of displaced intra-articular calcaneal fractures presented minimally invasive technique which showed comparable results with a low rate of serious complications and is a viable alternative for the treatment of intra-articular, dislocated calcaneal fractures. Conclusions: the functional results after K. wires fixation of displaced intra-articular calcaneal fractures were better than those after non-operative care.
Introduction and Aim: Diabetes mellitus patients almost always struggle with a metabolic condition known as chronic hyperglycemia. According to the World Health Organization, osteoporosis is a progressive systemic skeletal disorder that is characterized by decreasing bone mass and microstructural breakdown of bone tissue that increases susceptibility to fracture and increased risk of breaking a bone. Here, we aimed to compare the levels of CatK and total oxidative state in patients with diabetes and osteoporosis among the female Iraqi population and study the possible relationship between them. Materials and Methods: This study included 40 females with diabetes (Group G1), 40 with diabetes and osteoporosis (Group G2) and 40 normal healthy f
... Show MoreKE Sharquie, AA Noaimi, MR Al-Karhi, J Clin Dermatol Ther, 2014 - Cited by 8
In this work, excess properties (eg excess molar volume (VE), excess viscosity (ȠE), excess Gibbs free energy of activation of viscos flow (ΔG* E) and molar refraction changes (ΔnD) of binary solvent mixtures of tetrahydrofurfuryl alcohol (THFA) with aromatic hydrocarbons (benzene, toluene and p-xylene) have been calculated. This was achieved by determining the physical properties including density ρ, viscosity Ƞ and refraction index nD of liquid mixtures at 298.15 K. Results of the excess parameters and deviation functions for the binary solvent mixtures at 298.15 K have been discussed by molecular interactions that occur in these mixtures. Generally, parameters showed negative values and have been found to fit well to Redlich-Kister
... Show MoreSoftware-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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