Evaluation of Femoral Bone Fracture Healing in Rats by the Modal Damping Factor and Its Correlation With Peripheral Quantitative Computed Tomography.

Introduction Monitoring the progress of fracture healing is essential in order to establish the appropriate timing that ensures adequate bone strength for weight-bearing. In the present experimental study on a rat model of femoral fracture healing, the measurement of bone density and strength by peripheral quantitative computerized tomography (pQCT) was correlated with the modal damping factor (MDF) method. Methods Four groups of 12 male six-month-old Wistar rats each were anesthetized and submitted to baseline femoral pQCT and MDF scanning, followed by aseptic midshaft osteotomy of the right femur which was fixed by a locking intramedullary nail technique. The animals were left to recover and re-scanned following euthanasia of each group after six, eight, 10, and 12 weeks, respectively. The parameters measured by the pQCT method were total bone mineral density (BMD) and polar strength strain index (SSIp). Results Fracture healing progressed over time and at 12 weeks post-osteotomy there was no statistically significant difference between the osteotomized right and the control left femurs regarding MDF, BMD, and SSIp measurements. The highest correlations for the osteotomized femurs were observed between MDF and BMD (r = -0.647, P = 0.043), and between MDF and SSIp (r = -0.350, P = 0.321), at 10 weeks postoperatively. The high to moderate correlations between MDF and BMD, and between MDF and SSIp respectively, support the validity of MDF in assessing fracture healing. Conclusions Based on our findings in this fracture healing animal model, the results from the MDF method are reliable and correlate highly with the total BMD and moderately with the SSI polar values obtained by the pQCT method of bone quality measurement. Further studies are needed which may additionally support that the MDF method can be an attractive portable alternative to monitor fracture healing in the community.

A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System.

Trust is considered to be a determinant on psychologist selection which can ensure patient satisfaction. Hence, trust concept is essential to be introduced into ubiquitous healthcare (UH) environment oriented on patients with anxiety disorders. This is accomplished by trust model estimating psychologists' trustworthiness, a priory to service delivery, with the use of patient's and his/her acquaintances testimonies, i.e., personal interaction experience and reputation (R). In this paper, a trust model is proposed to be materialized via an adaptable cloud inference system (ACIS) that performs trust value (TV) estimation. Taking advantage of a cloud theory, the introduced ACIS estimates TVs via fuzzy-probabilistic reasoning incorporating a cloud relation operator (soft AND) which is proposed to be tuned by trust information sources consistency and coherency. Theoretical analysis along with comparative study conducted within MATLAB environment and experimental investigation verify the effectiveness of the proposed ACIS materialization under different conditions. Especially, the innovative features of ACIS enable TV to be estimated with 45.5% and 62% on average higher accuracy to that providing state-of-the-art trust models, within clean environment and under the influence of large-scale collusive malicious attacks, respectively. The enhanced robustness permits the untrustworthy UH providers to be discriminated with true positive rate at the range of 0.9 although 40% of R testimonies are erroneous. Finally, experimental investigation validates that the adoption of the proposed trust model for psychologists trustworthiness estimation facilitates patient satisfaction to be achieved into UH environment.

Symptomatology Patterns in Children with Allergic Rhinitis.

BACKGROUND Although allergic rhinitis (AR) is recognized as a growing global health disease with considerable importance for patients' lives, especially among children and adolescents, there is a lack of population studies concerning symptomatology patterns of the disease. The present study aimed to explore symptoms prevalence among school-aged children, to detect any correlation between allergen sensitivities with symptomatology patterns, and, finally, to evaluate the association of the sensitivity grade score with symptoms severity or seasonality. MATERIAL AND METHODS This was a cross-sectional, observational study in a childhood population. The first stage included recruitment of children and parental-completed questionnaires. The second stage included skin-prick tests for the most common allergens. Severity of symptoms was self-evaluated using a scale that ranged from "0" (no symptoms), "1" (mild), and "2" (moderate-to-severe). AR was classified as seasonal (SAR) or perennial (PAR). RESULTS The most frequent symptoms were reported for nasal obstruction, sneezing, and rhinorrhea. All nasal symptoms were significantly more profound among children with HDM sensitivity. However, more symptoms, not only nasal, but also ocular and general ones, were detected among patients with grass pollen sensitivity. Patients with PAR reported more severe symptoms. SAR was associated with mild disease. Finally, the sensitivity grade score was significantly correlated with symptom severity. CONCLUSIONS Our results suggest that allergen sensitivity may be correlated with symptomatology patterns among children who have allergic rhinitis.

Design and Implementation of the Intensive Care Unit Quality Management Registry: Monitoring Quality and Cost of an Adult Intensive Care Unit in a Greek State Hospital.

Intensive care electronic registries have been instrumental in quality measurement, improvement, and assurance of intensive care. In this article, the development and pilot implementation of the Intensive Care Unit Quality Management Registry are described, with a particular focus on monitoring the quality and operational cost in an adult ICU at a northern Greek state hospital. A relational database was developed for a hospital ICU so that qualitative and financial data are recorded for further analysis needed for planning quality care improvement and enhanced efficiency. Key features of this database registry were low development cost, user friendliness, maximum data security, and interoperability in existing hospital information systems. The database included patient demographics, nursing and medical parameters, and quality and performance indicators as established in many national registries worldwide. Cost recording was based on a mixed approach: at patient level ("bottom-up" method) and at department level ("top-down" method). During the pilot phase of the database operation, regular monitoring of quality and cost data revealed several fields of quality excellence, while indicating room for improvement for others. Parallel recording and trending of multiple parameters showed that the database can be utilized for optimum ICU quality and cost management and also for further research purposes by nurses, physicians, and administrators.

Risk assessment instruments for screening bone mineral density in a Mediterranean population.

AIM: To evaluate the power of six osteoporosis-screening instruments in women in a Mediterranean country. METHODS: Data concerning several osteoporosis risk factors were prospectively collected from 1000 postmenopausal women aged 42-87 years who underwent dual-energy X-ray absorptiometry (DEXA) screening. Six osteoporosis risk factor screening tools were applied to this sample to evaluate their performance and choose the most appropriate tool for the study population. RESULTS: The most important screening tool for osteoporosis status was the Simple Calculated Osteoporosis Risk Estimation, which had an area under the curve (AUC) of 0.678, a sensitivity of 72%, and a specificity of 72%, with a cut-off point of 20.75. The most important screening tool for osteoporosis risk was the Osteoporosis Self-assessment Tool, which had an AUC of 0.643, a sensitivity of 77%, and a specificity of 46%, with a cut-off point of -2.9. CONCLUSION: Some commonly used clinical risk instruments demonstrate high sensitivity for distinguishing individuals with DEXA-ascertained osteoporosis or reduced bone mineral density.

Allergic sensitization prevalence in a children and adolescent population of northeastern Greece region.

OBJECTIVES: To evaluate the prevalence of allergic sensitization in a childhood and adolescent population, to explore age- and gender-specific variations and finally to discover co-sensitivities among allergens. METHODS: A two-stage cross-sectional survey among school-aged children. The two stages of the study involved enrollment of schools and then skin prick testing (SPT) within schools. A total of 675 school children were included in the study. Of those, 231 were diagnosed with allergic rhinitis (AR), according to the medical history as provided by parental-completed questionnaires and positive SPT results. The antigen panel consisted of common allergens and more specifically house dust mites-HDM (Dermatophagoides farinae and Dermatophagoides pteronyssinus), grass mix, trees (olive, cypress and pine), weeds (Parietaria spp.), cat and dog epithelium and moulds (Alternaria spp., Cladosporium spp.). The SPT sensitivity was graded according to SPT-USA Standards. RESULTS: The overall prevalence rate of AR was 34.22%. In total, 93 school children (40.3%) were mono- and 138 (59.7%) were poly-sensitized. Overall, the most prevalent sensitizations in decreasing order were to HDM (59.74%), to grasses (48.9%), to Alternaria (34.6%) and to olive (14.71%). There were no age- and sex-specific differences, except for Alternaria mould that showed a significant prevalence among primary school-aged children and predominance in the female gender, by contrast to grass pollen allergy that was predominant to males. A 32% of SPT-positive individuals were not aware of their allergy, with no statistically significant differences between ages. Co-sensitivities were detected for grass pollens and pine and olive trees, for Alternaria and Cladosporium moulds, for cypress and pine trees, and finally for dog and cat danders. CONCLUSIONS: Given data among school-aged children should be a baseline from which to monitor disease trends and is considered important for the optimal management of AR patients.

The Effect of the Silicone Ring Tourniquet and Standard Pneumatic Tourniquet on the Motor Nerve Conduction, Pain and Grip Strength in Healthy Volunteers.

BACKGROUND: The pneumatic tourniquet (PT) is routinely used in upper and lower limb operations by most orthopaedic surgeons. The silicone ring tourniquet (SRT) was introduced in clinical practice over the last decade. Clinical as well as comparative studies have been published in volunteers concerning its safety and efficacy. The aim of this study was to investigate the postoperative effect of the silicone ring tourniquet (SRT), primarily on the motor nerve conduction, and secondarily on the pain and grip strength, in comparison to the effect of the pneumatic tourniquet (PT) in healthy volunteers. METHODS: Both tourniquets were applied in the forearm of the dominant arm in 20 healthy volunteers and were kept on for 10 minutes. Pain was measured using the visual analogue scale and grip strength was measured with a hand dynamometer. We evaluated the following parameters of median nerve conduction: motor conduction velocity (MCV), latency (LAT) and amplitude (AMP). RESULTS: Pain score at the time of tourniquet application was higher in SRT group but the alteration in pain scores in PT group was higher, with statistical significance (P<0.05). The grip strength was reduced by the application of both tourniquets; however there was a significantly higher reduction in the SRT group (P<0.05). The conduction impairment of the median nerve was worse in the PT group than in the SRT one, according to the changes in MCV (P<0.05). CONCLUSION: Median nerve conduction was affected more after PT application as compared to the SRT. Nevertheless, the reduction of grip strength was higher after the SRT application.

Feature extraction of osteoporosis risk factors using artificial neural networks and genetic algorithms.

A hybrid model that consists of an Artificial Neural Network and Genetic Algorithm is used in order to select the most significant osteoporosis risk factors. The results indicated that just 8 to 10 parameters, out of a total 34, are essential in order of high performance to be achieved.

Application of Multiprotocol Medical Imaging Communications and an Extended DICOM WADO Service in a Teleradiology Architecture.

Multiprotocol medical imaging communication through the Internet is more flexible than the tight DICOM transfers. This paper introduces a modular multiprotocol teleradiology architecture that integrates DICOM and common Internet services (based on web, FTP, and E-mail) into a unique operational domain. The extended WADO service (a web extension of DICOM) and the other proposed services allow access to all levels of the DICOM information hierarchy as opposed to solely Object level. A lightweight client site is considered adequate, because the server site of the architecture provides clients with service interfaces through the web as well as invulnerable space for temporary storage, called as User Domains, so that users fulfill their applications' tasks. The proposed teleradiology architecture is pilot implemented using mainly Java-based technologies and is evaluated by engineers in collaboration with doctors. The new architecture ensures flexibility in access, user mobility, and enhanced data security.

A user-centered, object-oriented methodology for developing Health Information Systems: a Clinical Information System (CIS) example.

The aim of this study is to present our perspectives on healthcare analysis and design and the lessons learned from our experience with the development of a distributed, object-oriented Clinical Information System (CIS). In order to overcome known issues regarding development, implementation and finally acceptance of a CIS by the physicians we decided to develop a novel object-oriented methodology by integrating usability principles and techniques in a simplified version of a well established software engineering process (SEP), the Unified Process (UP). A multilayer architecture has been defined and implemented with the use of a vendor application framework. Our first experiences from a pilot implementation of our CIS are positive. This approach allowed us to gain a socio-technical understanding of the domain and enabled us to identify all the important factors that define both the structure and the behavior of a Health Information System.

Genetic algorithm pruning of probabilistic neural networks in medical disease estimation.

A hybrid model consisting of an Artificial Neural Network (ANN) and a Genetic Algorithm procedure for diagnostic risk factors selection in Medicine is proposed in this paper. A medical disease prediction may be viewed as a pattern classification problem based on a set of clinical and laboratory parameters. Probabilistic Neural Network models were assessed in terms of their classification accuracy concerning medical disease prediction. A Genetic Algorithm search was performed to examine potential redundancy in the diagnostic factors. This search led to a pruned ANN architecture, minimizing the number of diagnostic factors used during the training phase and therefore minimizing the number of nodes in the ANN input and hidden layer as well as the Mean Square Error of the trained ANN at the testing phase. As a conclusion, a number of diagnostic factors in a patient's data record can be omitted without loss of fidelity in the diagnosis procedure.

Prognostic significance of CD95, P53, and BCL2 expression in extranodal non-Hodgkin's lymphoma.

Apoptosis-related proteins play an important role in lymphoma cell death during chemotherapy. In our study, we investigated the prognostic significance of CD95, BCL2, and P53 expression in extranodal non-Hodgkin's lymphoma (NHL). We examined 71 patients with extranodal NHL [45 diffuse large B-cell lymphomas (DLBCLs) and 26 mucosa-associated lymphoid tissue lymphomas (MALTLs)], 35 male and 36 female, with a median age of 65.8 years. The most common site of origin was the stomach (N = 31). Paraffin-embedded specimens were analyzed immunohistochemically for CD95, BCL2, and P53 expression. Multivariate analysis revealed that in DLBCLs, positive CD95 and negative BCL2 expression were independent prognostic factors for overall survival. We reached the same conclusion for MALTLs, with positive CD95 and negative P53 expression. In DLBCLs, the 5-year overall survival rate was 71.5% for the CD95-positive cases and 35% for the CD95-negative cases (p = 0.004) and the 5-year overall survival was significantly better in BCL2-negative cases (70.8%) when compared to BCL2-positive cases (37%; p = 0.009). In MALTLs, the 5-year overall survival rate for the CD95-positive and CD95-negative groups was 89.5% and 42.9%, respectively (p = 0.004) and the 5-year overall survival rate was 50% for the P53-positive cases and 88.9% for the P53-negative cases (p = 0.016). In conclusion, positive CD95 expression proved to be a good prognostic factor of overall survival in both extranodal DLBCLs and MALTLs. In contrast, positive expression of BCL2 and P53 was found to be unfavorably associated with survival in extranodal DLBCLs and MALTLs, respectively.

A contextual data mining approach toward assisting the treatment of anxiety disorders.

Anxiety disorders are considered the most prevalent of mental disorders. Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigation. Toward this direction, in this study a context-aware approach is proposed, aiming to provide medical supervisors with a series of applications and personalized services targeted to exploit the multiparameter contextual data collected through a long-term monitoring procedure. More specifically, an application that assists the archiving and retrieving of the patients' health records was developed, and four treatment supportive services were considered. The three of them focus on the discovery of possible associations between the patient's contextual data; the last service aims at predicting the stress level a patient might suffer from, in a given context. The proposed approach was experimentally evaluated quantitatively (in terms of computational efficiency and time requirements) and qualitatively by experts on the field of mental health domain. The feedback received was very encouraging and the proposed approach seems quite useful to the anxiety disorders' treatment.

Alteration in serum leptin correlates with alterations in serum N-telopeptide of collagen type I and serum osteocalcin during the progression of osteoporosis in ovariectomized rats.

The role of leptin during the progression of osteoporosis was investigated in ovariectomized rats by correlation of serum leptin levels with N-telopeptide of collagen type I (NTx) and osteocalcin levels before ovariectomy and 20, 40 and 60 days after the operation. Furthermore, peripheral quantitative computed tomography was used to confirm the development of severe osteoporosis in rats on day 60. The levels of NTx and osteocalcin were significantly increased on day 20 [61.9+/-5.4 nM BCE (bone collagen equivalents) and 215.6+/-53.3 ng/mL, respectively] in comparison to those before ovariectomy (41.3+/-1.7 nM BCE and 60.4+/-10.9 ng/mL). Accordingly, leptin was significantly elevated on day 20 (3033+/-661 vs. 606+/-346 pg/mL before ovariectomy). Bone markers and leptin levels remained constant up to day 40, while a slight, but not statistically significant, decrease was noted for osteocalcin and leptin on day 60. Although leptin and bone markers did not correlate before ovariectomy (r=0.09 for NTx and r=-0.05 for osteocalcin), strong correlation was observed at all time points after ovariectomy. The data obtained suggest that the alterations in serum leptin levels during the progression of osteoporosis in ovariectomized rats follow the alterations in bone markers.