39 research outputs found

    Psoriasis and 5HT-R2C Gene Polymorphism: Association between Clinical, Demographic and Therapeutic Parameters in the Turkish Population

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    We aimed to investigate the relationship between single nucleotide polymorphism (SNP) in the promoter region of the 5-HT-R2C gene and stress-related disease psoriasis in the Turkish population. The putative association between the 5-HTR2C variant (rs6318 Cys23Ser allele) and patients with psoriasis was investigated. 100 patients with psoriasis and 100 age-sex matched, unrelated healthy subjects representing the control group were included in the study. The PCR-RFLP method was used for genotyping the 5-HTR2C variation. There was no statistically difference in terms of genotype distributions and allele frequencies between the control subjects and patients with psoriasis (P=0.360 and P=0.439, respectively). The comparison between the presence and absence of the 5-HTR2C gene rs6318 G allele within the determined clinical subsets resulted in a significant difference with regard to treatment methodology only when conventional therapy and one or more medical therapy was compared (P=0.021). This study is the first clinical study to investigate the association between 5-HTR2C polymorphism and psoriasis. The role of the 5-HTR2C gene should be examined with more parameters in a larger case series

    Diaphragm pacing stimulation system in patient with central alveolar hypo ventilation: case report and first experience in Turkey

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    This article aims to document the efficiency of diaphragm pacing stimulation system (DPSS) in a patient diagnosed with central alveolar hypoventilation and dependent to mechanical ventilation (MV). A 65-year-old male patient who developed respiratory failure due to sepsis secondary to pulmonary infection was monitored in intensive care with MV. Although all septic symptoms recovered, patient became dependant to MV since respiration was not triggered centrally. DPSS was implemented in a patient with laparoscopic surgery for the first time in Turkey. Patient started using DPSS as of postoperative second day and completely separated from MV dramatically. Laparoscopic DPSS can be performed safely under general anesthesia may improve similar patients' respiratory and other clinic conditions as well as health related quality of life. Therefore, DPSS may be used more commonly in patients with central alveolar hypoventilation

    Autoimmune thyroiditis in children and adolescents with type 1 diabetes mellitus is associated with elevated IgG4 but not with low vitamin D

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    OBJECTIVE: To assess levels of vitamin D and of immunoglobulin G subclasses in children and adolescents with type 1 Diabetes Mellitus with or without autoimmune thyroiditis. DESIGN: Among 213 patients with type 1 diabetes, the cases with thyroid-specific autoantibodies formed Group 1 [n=19, M/F: 7/12, median age 13 years (10.1-14.7)]. Nineteen age-, gender-, and diabetes duration-matched cases with type 1 diabetes without any other systemic disease were designated as controls [Group 2, M/F: 7/12, median age 12.9 years (10.5-14.9)]. RESULTS: Levels of thyroid hormones, vitamin D, total IgG and IgG subclasses, as well as IgG subclasses/total IgG ratios were similar between the groups. Five cases (26%) in Group 1 had IgG4 levels > + 2 SDS, whereas there were no such cases in Group 2 (p=0.046). These five patients had similar clinical features but higher median IgG4 levels and IgG4/Total IgG ratios compared to the subjects with IgG4 levels < + 2 SDS in Group 1 and Group 2. CONCLUSIONS: There was no difference of vitamin D levels between the groups. Only a small percentage of patients with type 1 diabetes also having autoimmune thyroiditis had elevated serum IgG4 levels, revealing the heterogeneity of autoimmune thyroiditis and existence of IgG4 thyroiditis in the pediatric age group. Total IgG, the other IgG subclasses, and vitamin D levels did not differ in patients with autoimmune thyroiditis and type 1 diabetes compared to those suffering only from type 1 diabetes

    Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

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    OZCELIK, Neslihan/0000-0002-4672-6179WOS: 000583594300001PubMed: 33054411Aims This study aimed to develop a new intelligent diagnostic approach using an artificial neural network (ANN). Moreover, we investigated whether the learning-method-guided quantitative analysis approach adequately described mediastinal lymphadenopathies on endobronchial ultrasound (EBUS) images. Methods in total, 345 lymph nodes (LNs) from 345 EBUS images were used as source input datasets for the application group. the group consisted of 300 and 45 textural patterns as input and output variables, respectively. the input and output datasets were processed using MATLAB. All these datasets were utilized for the training and testing of the ANN. Results the best diagnostic accuracy was 82% of that obtained from the textural patterns of the LNs pattern (89% sensitivity, 72% specificity, and 78.2% area under the curve). the negative predictive values were 81% compared to the corresponding positive predictive values of 83%. Due to the application group's pattern-based evaluation, the LN pattern was statistically significant (p = .002). Conclusions the proposed intelligent approach could be useful in making diagnoses. Further development is required to improve the diagnostic accuracy of the visual interpretation
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