Modern therapeutic options in diabetic foot ulcer

Diabetic foot is a severe complication of diabetes that occurs as a result of poor glycemic control, being associated with significant morbidity and mortality. Mortality associated with this disease is estimated at 5% in the first 12 months, and about 42% in the next 5 years. On average, it affects about 15% of people with diabetes during their lifetime, including as possible manifestations neuropathy, peripheral vascular disease, and subsequent ulceration which, if treated incorrectly, can lead to amputation. This paper presents a retrospective and descriptive study of patients diagnosed and treated for diabetic foot ulcers in the Proctoven Clinic. The study includes a group of 50 cases diagnosed with diabetic foot over a period of 5 years, from 01.01.2017 to 31.12.2021. In this study, the effectiveness of the modern treatment methods most frequently used in the surgical treatment of the diabetic foot is analyzed based on several parameters

Clinical and biological factors with prognostic value in acute pancreatitis

Acute pancreatitis is an acute inflammatory process of the pancreas, which can remain localized at the level of the gland or can extend to the peripancreatic and retroperitoneal tissues. The use and interpretation of paraclinical examinations at the onset can predict the form of evolution of acute pancreatitis (mild or severe). Depending on the evolution, these data are useful in determining the type of surgical intervention that might be necessary based on severity. We present a retrospective study consisting of 118 patients diagnosed and hospitalized with acute pancreatitis during 2016-2020 in the Surgery I section of the Sibiu County Emergency Clinical Hospital. Several parameters were taken into account at hospitalization such as age, sex, the environment of origin, etiology of pancreatitis, biochemical parameters with their repetition at 24, 72 hours, and at discharge, and clinical signs at hospitalization. surgeries performed depending on the severity of pancreatitis specifying their complications

Cognitive and Behavioral Factors Predicting the Decision to Vaccinate against COVID-19 in Clinical Psychiatric Population—A Cross-Sectional Survey

The spread of the COVID-19 virus created more than a medical crisis, while it also negatively affected the mental health of the general population. This context increased the vulnerability of the psychiatric population. While research interest highly targeted vaccine hesitancy and acceptance, many studies focused on trust issues—both in vaccine efficacy and in communication with authorities. Less is known about the psychological underpinnings of the COVID vaccination decision, specifically in the high-uncertainty circumstances due to the novelty of the virus. In a cross-sectional study, we investigated the predictive value of several cognitive (perceived risk, vulnerability, uncertainty, and trust in one’s decision) and behavioral (previous vaccinations, social media use, and practicing preventive behavior) factors, for the vaccination decision against COVID-19, for 252 psychiatric inpatients (data collected between September 2021 and February 2022). Demographics and diagnostics were also considered. We found a significant relationship between the “Perceived risk of vaccination” and the choice of vaccination (χ2(2, N = 252) = 58.59, p ≤ 0.001), and between the “Trust in own decision to vaccinate” and the decision to vaccinate (χ2(2, N = 252) = 31,5, p ≤ 0.001). The overall regression model was statistically significant (χ2 (9, N = 252) = 97.1, p p χ2(1, N = 252) = 2.74, p > 0.05) in this special population. No other behavioral factors, diagnosis, or demographics were significant as predictors, for the clinical psychiatric population surveyed, except the educational level. Implications for future vaccination acceptance of this special population are discussed

Plotting the infected individuals of the suggested system (9) of cryptosporidiosis with different values of the input parameter <i>φ</i>, i.e., <i>φ</i> = 0.42, 0.48, 0.53, 0.58.

Plotting the infected individuals of the suggested system (9) of cryptosporidiosis with different values of the input parameter φ, i.e., φ = 0.42, 0.48, 0.53, 0.58.</p

Numerical visualization of the dynamical behaviour of the system (9) of cryptosporidiosis with different values of fractional order ℜ, i.e., ℜ = 0.52, 0.62, 0.72, 0.82.

Numerical visualization of the dynamical behaviour of the system (9) of cryptosporidiosis with different values of fractional order ℜ, i.e., ℜ = 0.52, 0.62, 0.72, 0.82.</p

Numerical visualization of the time series of the system (9) of cryptosporidiosis with different values of fractional order ℜ, i.e., ℜ = 0.85, 0.90, 0.95, 1.0.

Numerical visualization of the time series of the system (9) of cryptosporidiosis with different values of fractional order ℜ, i.e., ℜ = 0.85, 0.90, 0.95, 1.0.</p

Illustration of the time series of the system (9) of cryptosporidiosis with various values of the input parameter <i>ϱ</i>, i.e., <i>ϱ</i> = = 0.025, 0.030, 0.035, 0.040.

Illustration of the time series of the system (9) of cryptosporidiosis with various values of the input parameter ϱ, i.e., ϱ = = 0.025, 0.030, 0.035, 0.040.</p