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OBJECTIVES: Fatigue is a common comorbidity in patients with axial spondyloarthritis (axSpA), often reported also by those in clinical remission or with moderate disease activity. The aim of this study is to assess the prevalence of fatigue in patients with axSPA, and to investigate possible non-disease-related determinants, with a special focus on depression. METHODS: Patients with axSpA were assessed using the Chalder's Fatigue Questionnaire (CFQ) for fatigue, and the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for depression. Ankylosing Spondylitis Disease Activity Score (ASDAS), Bath Ankylosing Spondylitis Functional Index (BASFI) and Health Assessment Questionnaire (HAQ) were also used to assess disease activities and disability. Univariate and multivariate linear regressions were performed to identify possible predictors of fatigue. RESULTS: Out of 119 patients, 53 (44.5%) had fatigue. Patients with fatigue had higher HADS-D, ASDAS, BASFI, HAQ scores. HADS-D was predictive of CFQ score in univariate and multivariate regressions for total CFQ, and for mental and physical subscales. The correlation between HADS-D and CFQ total score was statistically significant also when taking into consideration only patients in clinical remission and with moderate disease activity. Depressed patients had higher CFQ score compared to non-depressed ones, and did not show any difference in CFQ scores when stratified for disease activity or systemic inflammation. CONCLUSIONS: The study found correlation between fatigue and disease activity and depression in patients with axSpA. These findings suggest that depression could represent the major determinant of fatigue in patients with axSpA, independently of clinical activity.
Subject(s)
Axial Spondyloarthritis , Depression , Fatigue , Severity of Illness Index , Humans , Male , Female , Fatigue/physiopathology , Fatigue/diagnosis , Fatigue/etiology , Fatigue/psychology , Fatigue/epidemiology , Depression/epidemiology , Depression/psychology , Depression/diagnosis , Depression/etiology , Adult , Middle Aged , Axial Spondyloarthritis/diagnosis , Axial Spondyloarthritis/epidemiology , Axial Spondyloarthritis/psychology , Axial Spondyloarthritis/complications , Axial Spondyloarthritis/physiopathology , Prevalence , Surveys and Questionnaires , Disability Evaluation , Comorbidity , Multivariate Analysis , Risk Factors , Linear Models , Cross-Sectional StudiesABSTRACT
Autonomous search is an ongoing cycle of sensing, statistical estimation, and motion control with the objective to find and localise targets in a designated search area. Traditionally, the theoretical framework for autonomous search combines sequential Bayesian estimation with information theoretic motion control. This paper formulates autonomous search in the framework of possibility theory. Although the possibilistic formulation is slightly more involved than the traditional method, it provides a means for quantitative modelling and reasoning in the presence of epistemic uncertainty. This feature is demonstrated in the paper in the context of partially known probability of detection, expressed as an interval value. The paper presents an elegant Bayes-like solution to sequential estimation, with the reward function for motion control defined to take into account the epistemic uncertainty. The advantages of the proposed search algorithm are demonstrated by numerical simulations.
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Background and Objectives: The epidemiological pattern of the hip fracture burden attributable to falls in Central European countries is still insufficiently known. The aim of this study was to assess the regional and national trends of hip fractures due to falls in Central Europe from 1990 to 2019. Materials and Methods: Using the Global Burden of Disease (GBD) 2019 study, this descriptive epidemiological study presents trends in incidence of and Years Lived with Disability (YLDs) from hip fractures due to falls in the region of Central Europe. All estimates (age- and sex-specific rates, and age-standardized rates) were expressed per 100,000. A joinpoint regression analysis was used to assess trends: the average annual percent change (AAPC) with a corresponding 95% confidence interval (95% CI) was calculated. Results: Among all new cases of hip fracture in the population as a whole in Central Europe in 2019, 3.9% in males and 7.0% in females were attributable to falls, while the share of hip fractures due to falls in the population aged 70 and over was 16.9% in males and 20.0% in females. About 400,000 new cases of hip fracture due to falls occurred in the Central European region in 2019 (220,000 among males and 160,000 among females), resulting in 55,000 YLDs (32,000 in females and 22,000 in males). About one-third of all new cases (59,326 in males and 72,790 in females) and YLDs (8585 in males, and 10,622 in females) of hip fractures due to falls were recorded in Poland. From 1990 to 2019, the age-standardized incidence rates of hip fracture due to falls showed a decreasing tendency in females (AAPC = -1.1%), and an increasing tendency in males (AAPC = 0.1%). Both in males and females, YLDs rates of hip fracture due to falls in the Central European region decreased (AAPC = -1.6% and AAPC = -2.4%, respectively). Conclusions: Hip fracture due to falls represents an important health issue in the Central European region, although incidences and YLDs declined in the most recent decades. However, further efforts to reduce the burden of hip fractures attributed to falls are needed.
Subject(s)
Hip Fractures , Female , Male , Humans , Aged , Aged, 80 and over , Hip Fractures/epidemiology , Europe/epidemiology , PolandABSTRACT
In this paper, angles-only target tracking (AoT) problem is investigated in the non Gaussian environment. Since the conventional minimum mean square error criterion based estimators tend to give poor accuracy in the presence of large outliers or impulsive noises in measurement, a maximum correntropy criterion (MCC) based framework is presented. Accordingly, three new estimation algorithms are developed for AoT problems based on the conventional sigma point filters, termed as MC-UKF-CK, MC-NSKF-GK and MC-NSKF-CK. Here MC-NSKF-GK represents the maximum correntropy new sigma point Kalman filter realized using Gaussian kernel and MC-NSKF-CK represents realization using Cauchy kernel. Similarly, based on the unscented Kalman filter, MC-UKF-CK has been developed. The performance of all these estimators is evaluated in terms of root-mean-square error (RMSE) in position and % track loss. The simulations were carried out for 2D as well as 3D AoT scenarios and it was inferred that, the developed algorithms performed with improved estimation accuracy than the conventional ones, in the presence of non Gaussian measurement noise.
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The problem is a two-dimensional area-restricted search for a target using a coordinated team of autonomous mobile sensing platforms (agents). Sensing is characterised by a range-dependent probability of detection, with a non-zero probability of false alarms. The context is underwater surveillance using a swarm of amphibious drones equipped with active sonars. The paper develops an intermittent information-driven search strategy, which alternates between two phases: the fast and non-receptive displacement phase (called the ballistic phase) with a slow displacement and sensing phase (called the diffusive phase). The proposed multi-agent search strategy is carried out in a decentralised manner, which means that all computations (estimation and motion control) are done locally. Coordination of agents is achieved by exchanging the data with the neighbours only, in a manner which does not require global knowledge of the communication network topology.
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This short note addresses the problem of autonomous on-line path-panning for exploration and occupancy-grid mapping using a mobile robot. The underlying algorithm for simultaneous localisation and mapping (SLAM) is based on random-finite set (RFS) modelling of ranging sensor measurements, implemented as a Rao-Blackwellised particle filter. Path-planning in general must trade-off between exploration (which reduces the uncertainty in the map) and exploitation (which reduces the uncertainty in the robot pose). In this note we propose a reward function based on the Rényi divergence between the prior and the posterior densities, with RFS modelling of sensor measurements. This approach results in a joint map-pose uncertainty measure without a need to scale and tune their weights.
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Bone fracture healing is a complex process which at best results in full recovery of function and structure of injured bone tissue, but all the mechanisms involved in this process, and their mutual interaction, are not fully understood. Despite advancement of surgical procedures, this type of fractures is still a major public health concern. In the last few decades, a lot of attention is focused on the oxygen-free radicals and inflammatory response markers as important factors of skeletal injury. Thus, the aim of the present study was to follow the changes in redox balance and inflammatory response in elderly patients with femoral fractures during the earliest stages of fracture healing, by measuring the values of the observed markers immediately after fracture, as well as the first, third, and seventh postoperative day. Present study was performed on a group of 65 elderly patients with femoral neck fractures, recruited from the Orthopedic Clinic, Clinical Centre Kragujevac in the period from February to May 2015. Redox status was measured spectrophotometrically and evaluated by measuring the levels of index of lipid peroxidation (measured as TBARS), nitrite (NO2-), superoxide anion radical (O2-), and hydrogen peroxide (H2O2) in plasma, while activities of corresponding antioxidative enzymes, catalase (CAT), superoxide dismutase (SOD), and reduced glutathione (GSH) were measured in erythrocytes. The cytokine concentrations of interleukin (IL)-6 and tumor necrosis factor (TNF)-α were determined in plasma, using ELISA assays specific for human cytokines. Our study showed that redox status and TNF-α in elderly patients with femoral fractures did not show statistically significant changes during the early phase of fracture healing. On the other hand, IL-6 increased statistically in first day after intervention. This preliminary study has shown our observations, and we hope that these results may help in better understanding mechanisms which are included at fracture healing. More importantly, this study attempted to create a platform for further research.
Subject(s)
Femoral Fractures/blood , Interleukin-6/blood , Aged , Aged, 80 and over , Biomarkers/blood , Female , Humans , Male , Nitrites/blood , Superoxides/blood , Thiobarbituric Acid Reactive Substances/metabolism , Tumor Necrosis Factor-alpha/bloodABSTRACT
Finding the source of an accidental or deliberate release of a toxic substance into the atmosphere is of great importance for national security. The paper presents a search algorithm for turbulent environments which falls into the class of cognitive (infotaxi) algorithms. Bayesian estimation of the source parameter vector is carried out using the Rao-Blackwell dimension-reduction method, while the robots are controlled autonomously to move in a scalable formation. Estimation and control are carried out in a centralised replicated fusion architecture assuming all-to-all communication. The paper presents a comprehensive numerical analysis of the proposed algorithm, including the search-time and displacement statistics.
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PURPOSE: Previous clinical studies have shown that anterior cruciate ligament (ACL) ruptures require reconstructive surgery. The main goal of this study is an objective test definition for unstable knee diagnosis based on real measurements by using infrared cameras and adequate software. METHODS: In the study of gait analysis 35 males with deficient ACL's participated. Pathological parameters for anterior posterior translation (APT) and internal external rotation (IER) and their values of kinematic data were obtained from a gait analysis 3D system. Movement curves were obtained by recording the position of fluorescent markers over time. A machine learning algorithm was developed in order to support decisions on the severity of the ACL injury and its corresponding deficiency. The algorithm was based on logistic regression. RESULTS: The value of APT, designated as exponentiation of the Ó¨ coefficient (Exp (Ó¨)) of APT, showed that the likelihood of ACL-deficient knee occurrence due to higher values of APT is 1.1758 (95 % CI) times more frequent than that of the patients with lower values of APT. The value of IER, designated as Exp (Ó¨) of IER, showed that the patients with higher values of IER present 2.2516 (95 % CI) times higher values of ACL-deficient knee frequency than those with lower values. CONCLUSION: This study showed that the creation of ordered pairs of pathological parameters gives a wider picture of ACL deficiency and that such an algorithm may improve both examination and treatment of patients.
Subject(s)
Anterior Cruciate Ligament Injuries , Joint Instability/diagnosis , Knee Injuries/diagnosis , Knee Joint/physiopathology , Adolescent , Adult , Biomechanical Phenomena , Gait/physiology , Humans , Infrared Rays , Joint Instability/etiology , Knee Injuries/physiopathology , Logistic Models , Male , Middle Aged , Young AdultSubject(s)
COVID-19/epidemiology , COVID-19/psychology , Medical Staff/psychology , Resilience, Psychological , Stress, Psychological/epidemiology , Adult , Comorbidity , Female , Humans , Male , Medical Staff/statistics & numerical data , Pandemics , Serbia/epidemiology , Students, Medical/psychology , Students, Medical/statistics & numerical dataABSTRACT
We analyzed the incidence and predisposing factors for overall discard rate after retrieval of 295 femoral head allografts. The aim of the present study was to evaluate the quality system of institutional bone banking and to ensure that we can provide high standard allografts with low infection rate. Audit of bone banking was conducted on 295 donors and 180 recipients. Of the 295 donated femoral heads 77 were discarded, giving an overall discard rate of 26.1 %. At retrieval, 37 allografts were positive, giving an overall contamination rate of 12.54 %. The organism most commonly identified was Staphylococcus species. Seven (2.37 %) of the 295 allografts failed the blood screening tests. Twelve allografts (4.06 %) were discarded because of suspected damage of the packaging or disuse during surgery. Due to donor death or inability to perform serology retests, 21 (7.11 %) allografts were discarded. In the postoperative survey an infection rate of 2.22 % was found. After 7 years of bone banking, our results show that overall discard rate and allograft related infection rate are in accordance with the international standards. The leading cause of allograft discarding was bacterial contamination influenced by the surgical team. We suggest stringent aseptic allograft handling during harvesting and thawing within highly concentrated antibiotic solution to reduce a possibility of its contamination.
Subject(s)
Bacterial Infections/epidemiology , Bone Banks/standards , Bone Transplantation/standards , Clinical Audit/standards , Femur Head/transplantation , Adult , Aged , Aged, 80 and over , Allografts , Anti-Bacterial Agents/therapeutic use , Bacterial Infections/prevention & control , Cryopreservation/standards , Female , Femur Head/microbiology , Humans , Male , Middle Aged , Prevalence , Retrospective Studies , Serbia/epidemiologyABSTRACT
OBJECTIVES: This study aimed to compare the health-related quality of life scores among rheumatoid arthritis, psoriatic arthritis, and spondyloarthritis and to evaluate socio-demographic and clinical determinantes of quality of life across diseases. METHODS: The sample comprised 490 patients with rheumatoid arthritis, 198 with psoriatic arthritis, and 119 with spondyloarthritis who completed a series of health examinations and self-reported questionnaires. Quality of life was evaluated using the Short-Form 36 Health Survey, disease activity by DAS28-CRP, DAPSA, and ASDAS-CRP (for rheumatoid arthritis, psoriatic arthritis, and spondyloarthritis, respectively), depression and anxiety using the Hospital Anxiety and Depression Scale. ANOVA was used to compare the quality of life dimensions and their physical and mental summary measures among rheumatic diseases, and multivariate analysis was used to explore their potential determinants. RESULTS: Rheumatoid arthritis had significantly worse scores than spondyloarthritis in the following dimensions: physical functioning, role limitation due to physical health, physical component score, and mental health. Psoriatic arthritis was not significantly different from the other two diseases. Multivariate analysis revealed that physical quality of life was mainly associated with disease activity across rheumatic diseases, rheumatological treatment and depression in rheumatoid arthritis and psoriatic arthritis. Mental quality of life is primarily associated with depression and anxiety across rheumatic diseases. CONCLUSION: There were differences in quality of life among patients with inflammatory rheumatic diseases, but overall, approximately uniform factors explained the variance in quality of life across diseases. Clinicians should develop general approaches and strategies for inflammatory rheumatic diseases to improve patients' quality of life.
Subject(s)
Arthritis, Psoriatic , Arthritis, Rheumatoid , Spondylarthritis , Humans , Arthritis, Psoriatic/drug therapy , Arthritis, Psoriatic/psychology , Quality of Life , Cross-Sectional Studies , Arthritis, Rheumatoid/psychology , Spondylarthritis/drug therapyABSTRACT
Background: Effective care of any trauma is a priority in all health care systems. If a patient gets adequate treatment within "golden hour" from the injury the prognosis is better, but not as the only factor. The objective was focused on the influence of time and spacial distance of the hospital from the accident as determinant factors of survival, all in the aim Public Health System of Montenegro reorganisation for better accessibility for traumatized persons from 2011-2020. Methods: Among 334 subjects, three groups were defined according to the type of injury: bleeding, ashpyxiations, and cranio-cerebral injuries. In every group lethal and non-lethal subjects were analyzed. Results: Cut-off values are given by ROC curves following proximity and transportation time to hospital specific for injury sustained, as well as for nearest hospital, showed significant differences for proximity of any hospital for bleeding and asphyxiation injuries, and for proximity of any hospital and transportation time to the hospital specific for the sustained cranio-cerebral injury. Conclusion: Most of the seriously injured patients with bleeding or asphyxiation could be taken care of in any hospital while for cranio-cerebral injuries the specific hospital is crucial. How it is very often about, different organ systems are usualy injured in single patient, so the forming of easily available trauma centers net is the best solution for Montenegro, which is necessary for better survival rates.
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BACKGROUND: Treatment of an open tibial shaft fracture (TSF) is complex, and many cases are associated with delayed bone union or malunion. Parathyroid hormone (PTH) plays a key role in bone metabolism. A peptide fragment of PTH (PTH1-34) has been shown to promote bone healing. The objective of this study was to evaluate the safety and efficacy of a novel PTH-based bone graft (KUR-113) in the treatment of subjects with an open TSF. METHODS: The study was a randomized, controlled, open-label (dose-blinded), dose-finding study of 200 subjects who had an open TSF secondary to trauma. Subjects were randomized into 1 of 4 groups to receive the standard of care (SoC) alone (control) or the SoC plus a single application of 4 mL of KUR-113 containing TGplPTH1-34 in fibrin at a concentration of 0.133 mg/mL (KUR-113-low), 0.4 mg/mL (KUR-113-mid), or 1.0 mg/mL (KUR-113-high). KUR-113 was administered at the fracture site after internal fracture fixation and before wound closure. Subjects were followed for up to 12 months after treatment. The primary outcome measure was fracture healing at 6 months assessed by the study investigator using radiographic and clinical measures. The primary end point was the proportion of subjects with fracture healing at 6 months. RESULTS: A total of 200 subjects were enrolled and randomized to 1 of the 4 treatments. The primary end point was met in the KUR-113-mid group, which showed a significantly higher prevalence of healing at 6 months than the control group (37 of 46; 80.4% versus 31 of 48; 64.6%). By 12 months, healing had occurred in the majority of subjects in all treatment groups, with the control group requiring more surgical interventions to achieve fracture healing. Adverse events occurred at similar frequencies between the KUR-113 groups and the SoC group. No ectopic bone formation or abnormal bone resorption at the fracture site was observed in any of the treatment groups. CONCLUSIONS: KUR-113 has the potential to be a good adjunctive therapy in the treatment of open TSFs. LEVEL OF EVIDENCE: Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.
Subject(s)
Fractures, Open , Tibial Fractures , Bone Transplantation , Fracture Healing , Fractures, Open/surgery , Humans , Parathyroid Hormone/therapeutic use , Tibial Fractures/surgery , Treatment OutcomeABSTRACT
The aim of this study is to determine whether the use of tranexamic acid (TXA) in patients with hip fracture reduces intraoperative and postoperative blood loss, and on the other hand, whether it increases thromboembolic risk. The study was performed on patients with hip fracture for a period of one year. Patients were divided into two groups (1:1): the first group receiving TXA and the second group receiving placebo. The amount of blood aspiration during the surgery was measured as well as drainage in the postoperative period of 24 h. The occurrence of deep vein thrombosis (DVT) was monitored before and after the surgery by ultrasound of the lower extremities. The amount of total blood loss was two times lower in patients who received TXA (291.8 ± 65.5 mL of blood vs 634.7 ± 150.5 mL of blood). Among the patients who developed DVT, one patient was from the group that did not receive TXA, and two patients were from the group that received TXA. The use of TXA in patients with hip fracture significantly reduces intraoperative and postoperative blood loss, without a significant thromboembolic risk.
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The purpose of this investigation was to use a combination of image processing, force measurements and finite element modeling to calculate deformation of the knee cartilage during jumping. Professional athletes performed jumps analyzed using a force plate and high-speed video camera system. Image processing was performed on each frame of video using a color recognition algorithm. A simplified mass-spring-damper model was utilized for determination of global force and moment on the knee. Custom software for fitting the coupling characteristics was created. Simulated results were used as input data for the finite element calculation of cartilage deformation in the athlete's knee. Computer simulation data was compared with the average experimental ground reaction forces. The results show the three-dimensional mechanical deformation distribution inside the cartilage volume. A combination of the image recognition technology, force plate measurements and the finite element cartilage deformation in the knee may be used in the future as an effective noninvasive tool for prediction of injury during jumping. Key pointsEven there are many existing mathematical models of force distribution during running or jumping (Liu et al, 1998), to our knowledge there is no interdisciplinary approach where imaging processing, finite element modeling and experimental force plate system are employed.The aim is to explore noninvasive deformation in the knee cartilage during athlete's jumping on the force plate.An original image algorithms and software were developed as well as complex mathematical models using high-performance computational power of finite element modeling together with one-dimensional dynamics model.The initial results showed cartilage deformation in the knee and future research will be focused on the methodology and more precisely determination of the stress and strain distribution in the knee cartilage during training phase of sportsman.
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BACKGROUND: Although epidemiological evidence for the beneficial effect of low alcohol consumption on myocardial infarction is strong, the impact of heavy drinking episodes is less clear. OBJECTIVES: The aim of this study was to investigate a possible association between the risk for acute myocardial infarction occurrence and alcohol consumption. METHODS: Our hospital-based case-control study comprised 374 participants (187 newly diagnosed patients with myocardial infarction and 187 controls, individually matched by gender, age, and place of residence). This study was performed in Kragujevac (a city in Serbia) during 2010. Logistic regression analysis was used to determine odds ratio (OR) with 95% confidence intervals (95% CI). RESULTS: The history of alcohol consumption in patients with acute myocardial infarction and their controls did not differ significantly: the percentage of those that were consuming alcohol was slightly higher in cases (54.5%) than in controls (50.3%). The habit of binge drinking during the previous 12 months was significantly more common in cases (25.1%) than in controls (12.8%): adjusted OR = 2.2 (95%CI = 1.2-4.2, p = 0.017), p for trend = 0.015. Analysis of binge drinking by age, gender and place of residence revealed that the increase in risk for acute myocardial infarction was associated with older age (adjusted OR = 5.1, 95%CI = 1.7-15.1, p for trend = 0.010), male gender (adjusted OR = 2.3, 95%CI = 1.1-5.2, p for trend = 0.028) and rural place of residence (adjusted OR = 4.8, 95%CI = 1.3-18.5, p for trend = 0.033). CONCLUSION: Our results suggest that binge drinking is associated with twice the risk for myocardial infarction compared to not drinking. Since consumption of alcohol is very common in the Serbian population, the effect of binge drinking on myocardial infarction should be considered an important public health issue.
Subject(s)
Alcohol Drinking/epidemiology , Myocardial Infarction/epidemiology , Adult , Aged , Alcohol Drinking/adverse effects , Binge Drinking/complications , Binge Drinking/epidemiology , Case-Control Studies , Female , Humans , Male , Middle Aged , Myocardial Infarction/complications , Risk Factors , Serbia/epidemiologyABSTRACT
BACKGROUND: There are several potential risk factors in patients with a hip fracture for a higher rate of mortality that include: comorbid disorders, poor general health, age, male gender, poor mobility prior to injury, type of fracture, poor cognitive status, place of residence. The aim of this study was to assess the influence of potential risk factors for six-month mortality in hip fracture patients. METHODS: The study included all patients with a hip fracture older than 65 who had been admitted to the Clinic for orthopaedic surgery during one year. One hundred and ninety-two patients were included in the study. RESULTS: Six months after admission due to a hip fracture, 48 patients had died (6-month mortality rate was 25%). The deceased were statistically older than the patients who had survived. Univariate regression analysis indicated that six variables had a significant effect on hip fracture patients' survival: age, mobility prior to the fracture, poor cognitive status, activity of daily living, comorbidities and the place where they had fallen. Multivariate regression modelling showed that the following factors were independently associated with mortality at 6 months post fracture: poor cognitive status, poor mobility prior to the fracture, comorbid disease. CONCLUSION: Poor cognitive status appeared to be the strongest mortality predictor. The employment of brief tests for cognitive status evaluation would enable orthopaedists to have good criteria for the choice of treatment for each patient screened.
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Introduction: Open lower leg fractures are the most common open fractures of the locomotor system and their treatment is associated with a number of complications. Objective: The aim of the paper was to present the results of the treatment of 68 patients with open lower leg fractures, as well as the complications that accompany the treatment of these fractures. Methods: In the analyzed group, there were 45 (66.18%) men and 23 (33.82%) women. The majority of patients 33 (48.53%) of them were injured in motor vehicle accidents, whereas 24 (35.29%) patients sustained injuries due to falls from heights. In two (2.94%) patients the cause of open tibial fractures was gunshot injuries. In the analyzed group, there were 18 (26.47%) type I open fractures, 21 (30.88%) type II open fractures, 19 (27.94%) type IIIA open fractures, seven (10.29%) type IIIB open fractures, and three (4.41%) type IIIC open fractures. Results: The tibial shaft fracture healed without serious complications in 50 (73.53%) patients, whereas in 18 (26.47%) patients we observed some complications. Nonunion was found in 10 (14.71%) patients, osteitis in four (5.88), malunion in two (2.94%) patients. Milder complications such as soft tissue pin tract infection developed in 13 (19.12%) patients, infection of the open fracture wound soft tissue was observed in four (5.88%) patients. Conclusion: Basic principles in the treatment of open lower leg fractures in this study are thorough primary open fracture wound treatment followed by the delayed wound closure, stable fracture fixation using unilateral external skeletal device, proper antibiotic treatment and tetanus prophylaxis. The results correlate with similar studies.