Analysis of clinical characteristics and factors affecting treatment responses in patients with pyoderma gangrenosum: a multicenter study of 239 patients☆.

BACKGROUND: Pyoderma Gangrenosum (PG) is a chronic disease characterized by recalcitrant skin ulcers. OBJECTIVE: We aimed to evaluate the demographic, clinical characteristics, treatments and factors affecting the treatment responses of patients with PG. METHODS: We performed a multicenter study of 12 tertiary care centers. We analyzed the data of the patients who were followed up with a diagnosis of PG between the years 2012‒2022 retrospectively. RESULTS: We included a total of 239 patients of whom 143 were female and 96 were male, with an average age of 54.2 ±â€¯17.4 years. The most common treatment was systemic steroids (n = 181, 75.7%). Among these patients, 50.8% (n = 92) used systemic steroids as the sole systemic agent, while 49.2% (n = 89) used at least one adjuvant immunosuppressive agent. The independent factors determined in regression analysis to influence response to systemic steroids positively were disease onset age ≥ 30-years, negative pathergy, absence of leukocytosis, negative wound culture, presence of a single lesion, and absence of upper extremity involvement. Biological agents were used in 18.4% (n = 44) of the patients in the present study. We also analyzed pathergy positive PG and early onset (onset age < 30) PG separately due to their distinct clinical features which were revealed during statistical analysis. STUDY LIMITATIONS: Retrospective nature of the present study. CONCLUSIONS: Analyses of the factors influencing treatment responses are addressed in this study. Also, we concluded that investigation for accompanying autoinflammatory diseases of pathergy positive PG and early onset PG is necessary and the patients in these two groups are more resistant to treatment, necessitating more complicated treatments.

Applying data mining techniques to predict vitamin D deficiency in diabetic patients.

Vitamin D is among the vitamins necessary for both adults' and children's health. It plays a significant role in calcium absorption, the immune system, cell proliferation and differentiation, bone protection, skeletal health, rickets, muscle health, heart health, disease pathogenesis and severity, glucose metabolism, glucose intolerance, varying insulin secretion, and diabetes. Because the 25-hydroxyvitamin D (25OHD) test, which is used to measure vitamin D is expensive and may not be covered in healthcare benefits in many countries, this study aims to predict vitamin D deficiency in diabetic patients. The prediction method is based on data mining techniques combined with feature selection by using historical electronic health records. The results were compared with a filter-based feature selection algorithm, namely relief-F. Non-valuable features were eliminated effectively with the relief-F feature selection method without any performance loss in classification. The performances of the methods were evaluated using classification accuracy (ACC), sensitivity, specificity, F1-score, precision, kappa results, and receiver operating characteristic (ROC) curves. The analyses have been conducted on a vitamin D dataset of diabetic patients and the results show that the highest classification accuracy of 97.044% was obtained for the support vector machines (SVM) model using radial kernel that contains 18 features.

Urticaria exacerbations and adverse reactions in patients with chronic urticaria receiving COVID-19 vaccination: Results of the UCARE COVAC-CU study.

BACKGROUND: Concern about disease exacerbations and fear of reactions after coronavirus disease 2019 (COVID-19) vaccinations are common in chronic urticaria (CU) patients and may lead to vaccine hesitancy. OBJECTIVE: We assessed the frequency and risk factors of CU exacerbation and adverse reactions in CU patients after COVID-19 vaccination. METHODS: COVAC-CU is an international multicenter study of Urticaria Centers of Reference and Excellence (UCAREs) that retrospectively evaluated the effects of COVID-19 vaccination in CU patients aged ≥18 years and vaccinated with ≥1 dose of any COVID-19 vaccine. We evaluated CU exacerbations and severe allergic reactions as well as other adverse events associated with COVID-19 vaccinations and their association with various CU parameters. RESULTS: Across 2769 COVID-19-vaccinated CU patients, most (90%) received at least 2 COVID-19 vaccine doses, and most patients received CU treatment and had well-controlled disease. The rate of COVID-19 vaccination-induced CU exacerbation was 9%. Of 223 patients with CU exacerbation after the first dose, 53.4% experienced recurrence of CU exacerbation after the second dose. CU exacerbation most often started <48 hours after vaccination (59.2%), lasted for a few weeks or less (70%), and was treated mainly with antihistamines (70.3%). Factors that increased the risk for COVID-19 vaccination-induced CU exacerbation included female sex, disease duration shorter than 24 months, having chronic spontaneous versus inducible urticaria, receipt of adenovirus viral vector vaccine, having nonsteroidal anti-inflammatory drug/aspirin intolerance, and having concerns about getting vaccinated; receiving omalizumab treatment and Latino/Hispanic ethnicity lowered the risk. First-dose vaccine-related adverse effects, most commonly local reactions, fever, fatigue, and muscle pain, were reported by 43.5% of CU patients. Seven patients reported severe allergic reactions. CONCLUSIONS: COVID-19 vaccination leads to disease exacerbation in only a small number of CU patients and is generally well tolerated.

Differences between adult and pediatric chronic spontaneous urticaria from a cohort of 751 patients: Clinical features, associated conditions and indicators of treatment response.

BACKGROUND: Chronic spontaneous urticaria (CSU) is a common disease both in the pediatric and in the adult population. However, there are differences between the two patient populations with respect to etiological factors, comorbidities, and treatment responses. Our aim was to determine differences between pediatric and adult CSU in terms of clinical characteristics, laboratory parameters, comorbidities, response to treatment, and indicators of response. METHODS: A retrospective analysis of CSU patients was performed. Data regarding differences between pediatric and adult CSU patients were analyzed. Indicators of treatment response were determined separately in both pediatric and adult patients. RESULTS: Of 751 CSU patients (162 pediatrics and 589 adults), female dominancy (48.8% vs. 69.6%) and rate of angioedema (19.1% vs. 59.8%) were lower, and disease duration (5 months vs. 12 months) was shorter in pediatric patients. Anti-TPO positivity (24.7% vs. 9%), elevated CRP (46.5% vs. 11.1%), eosinopenia (38.5% vs. 18.1%), and skin prick test positivity (39.3% vs. 28.8%) were significantly more frequent in adult patients. Response to antihistamines was higher in the pediatric group, and only 7% used omalizumab versus 20.8% in the adults. The comparisons were also performed between <12-year and ≥12-year patients and yielded similar results. CONCLUSION: Pediatric CSU shows distinct characteristics such as lower incidence of angioedema and antithyroid antibodies, and it responds better to antihistamines. These suggest that CSU becomes more severe and refractory in adolescents and adults. Adolescent CSU shows features similar to adult CSU rather than pediatric CSU.

Diagnostic Accuracy of Electrical Impedance Spectroscopy in Non-melanoma Skin Cancer.

Electrical impedance spectroscopy is a non-invasive technique that can help clinicians in diagnosing malignant skin tumours. Depending on the cellular irregularity of the lesion, electrical impedance spectroscopy can reveal changes in the structure and form of the cells, using a harmless electrical current applied to the skin. A score between 0 and 10 is generated by the electrical impedance spectrometer, where 0 is considered benign and 10 is malignant. This prospective study was conducted in 101 patients with a total of 200 skin lesions; 62 benign and 138 malignant. There was a significant difference between the electrical impedance of malignant and benign lesions (p < 0.001). The sensitivity, specificity, positive predictive value and negative predictive value of electrical impedance spectroscopy for non-melanoma skin cancer were 94.2%, 41.9%, 78.3% and 76.5%, respectively, when the cut-off for the electrical impedance spectroscopy score was set at between 5 and 6. The area under the curve in receiver operating characteristics analyses was 0.758.

Case for diagnosis. Atypical fibroxanthoma.

Atypical fibroxanthoma is a rare superficial fibrohistiocytic tumor. Clinically, it presents itself as a painless, solitary, ulcerated, and slow-growing nodule found mainly on sun-exposed areas - especially of the head and neck - of elderly individuals. The diagnosis is based on histopathological and immunohistochemical features. Immunohistochemical staining plays a critical role for the exclusion of differential diagnoses. Since atypical fibroxanthoma has an indolent clinical course, surgical excision is adequate for treatment. We present a case of atypical fibroxanthoma on the ear of a patient.

Case for diagnosis. Atypical fibroxanthoma

Abstract Atypical fibroxanthoma is a rare superficial fibrohistiocytic tumor. Clinically, it presents itself as a painless, solitary, ulcerated, and slow-growing nodule found mainly on sun-exposed areas - especially of the head and neck - of elderly individuals. The diagnosis is based on histopathological and immunohistochemical features. Immunohistochemical staining plays a critical role for the exclusion of differential diagnoses. Since atypical fibroxanthoma has an indolent clinical course, surgical excision is adequate for treatment. We present a case of atypical fibroxanthoma on the ear of a patient.

Impact of psoriasis in the quality of life of children, adolescents and their families: a cross-sectional study

Abstract: Background: Psoriasis is a chronic and inflammatory disease that impairs quality of life and causes psychological symptoms. Despite the high prevalence of psoriasis in pediatric patients, studies investigating the impact of psoriasis in the quality of life of children, adolescents and families are sparse. Objective: To investigate the impact of psoriasis in the quality of life of children and adolescents with psoriasis and their families and to determine depression and anxiety levels of the patients. Methods: A total of 58 patients with psoriasis aged 7-18 years (median age: 11) and a family member of each patient were included in the study. Children's Dermatology Life Quality Index (CDLQI), Family Dermatology Life Quality Index (FDLQI), Children's Depression Inventory (CDI) and State-Trait Anxiety Inventory for Children (STAIC) were used in the study. Results: The median PASI score of the patients included in the study was 1.8. The median CDLQI and FDLQI scores in the study groups were 5 and 10, respectively. The median CDI score, STAIC-state and STAIC-trait scores of the patients were 6, 28 and 32.5, respectively. Study limitations: Lack of a control group and patient assessment of disease severity. Relatively mild disease severity of the subjects. Conclusions: Psoriasis has a negative impact in the quality of life of children, adolescents and their families, even in the presence of mild disease. Considering that impairment in quality of life may be associated with psychosocial morbidity, a combined approach with medical therapy, family counseling and quality of life assessment may be beneficial in this patient group.

Impact of psoriasis in the quality of life of children, adolescents and their families: a cross-sectional study.

BACKGROUND: Psoriasis is a chronic and inflammatory disease that impairs quality of life and causes psychological symptoms. Despite the high prevalence of psoriasis in pediatric patients, studies investigating the impact of psoriasis in the quality of life of children, adolescents and families are sparse. OBJECTIVE: To investigate the impact of psoriasis in the quality of life of children and adolescents with psoriasis and their families and to determine depression and anxiety levels of the patients. METHODS: A total of 58 patients with psoriasis aged 7-18 years (median age: 11) and a family member of each patient were included in the study. Children's Dermatology Life Quality Index (CDLQI), Family Dermatology Life Quality Index (FDLQI), Children's Depression Inventory (CDI) and State-Trait Anxiety Inventory for Children (STAIC) were used in the study. RESULTS: The median PASI score of the patients included in the study was 1.8. The median CDLQI and FDLQI scores in the study groups were 5 and 10, respectively. The median CDI score, STAIC-state and STAIC-trait scores of the patients were 6, 28 and 32.5, respectively. STUDY LIMITATIONS: Lack of a control group and patient assessment of disease severity. Relatively mild disease severity of the subjects. CONCLUSIONS: Psoriasis has a negative impact in the quality of life of children, adolescents and their families, even in the presence of mild disease. Considering that impairment in quality of life may be associated with psychosocial morbidity, a combined approach with medical therapy, family counseling and quality of life assessment may be beneficial in this patient group.

An ant colony optimization based feature selection for web page classification.

The increased popularity of the web has caused the inclusion of huge amount of information to the web, and as a result of this explosive information growth, automated web page classification systems are needed to improve search engines' performance. Web pages have a large number of features such as HTML/XML tags, URLs, hyperlinks, and text contents that should be considered during an automated classification process. The aim of this study is to reduce the number of features to be used to improve runtime and accuracy of the classification of web pages. In this study, we used an ant colony optimization (ACO) algorithm to select the best features, and then we applied the well-known C4.5, naive Bayes, and k nearest neighbor classifiers to assign class labels to web pages. We used the WebKB and Conference datasets in our experiments, and we showed that using the ACO for feature selection improves both accuracy and runtime performance of classification. We also showed that the proposed ACO based algorithm can select better features with respect to the well-known information gain and chi square feature selection methods.