Clinical and Therapeutic Characteristics of Patients with Type 2 Diabetes Mellitus in Romania – Mentor Study

Diabetes Care in Romania: A Lesson on the Central Role of Lifestyle Medicine

In this narrative review, diabetes care in Romania is discussed in terms of epidemiological data, lifestyle medicine, and research/knowledge/practice gaps. The principal drivers of cardiometabolic-based chronic disease—adiposity and dysglycemia—are manifest in Romania at concerning levels. Diabetes prevalence in Romania is 8.4%–11.6% of which 21.3% are unaware. Obesity prevalence in Romania is 31.9% and correlated with adverse lifestyle trends and cardiovascular risk. The large epidemiological studies conducted in Romania are highlighted to fully portray the magnitude of how lifestyle, diabetes, and cardiometabolic risk are related. Knowledge gaps among patients regarding this health risk are in large part due to low health literacy in the Romanian population. Educational programs and delivery of lifestyle medicine in structured centers are outlined as potential solutions to close knowledge and practice gaps. Understanding how lifestyle medicine issues affect diabetes and cardiometabolic care in Romania can prompt transformative management strategies in other ethnocultural settings across the globe.

Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan

Numerical treatment of the COVID-19 transposition and severity in Romania and Pakistan has been presented in this study, i.e., ANN-GA-SQP through artificial neural network genetic algorithms (ANN-GA) and sequential quadratic programming (SQP), a design of an integrated computational intelligent paradigm, COVID-19 is widely considered to be the greatest health threat humanity has ever faced. In terms of both health and economics, COVID-19 is a huge disaster. Many academics have looked at the COVID-19 model in their research papers, although they use different traditional techniques to represent it. The use of hybrid suggested solutions to solve this issue in the present article is significant, demonstrating the study's novelty. The SIR model of COVID-19 consists of a susceptible, infectious, and recovered class of population. The activation function for the construction of functions based on fitness in mean squared error sense is developed using nonlinear equations of the COVID-19 SIR model for the best performance of ANN-GA-SQP with the combined potential of GA and SQP of a network. While detailed refining is done with efficient local search with SQP, GAs operates as a global search. In addition, a neuron analysis will be presented to verify the effectiveness and complexity of the proposed method. Adam’s numerical methodology is applied to compare the sustainability and efficacy of the presented paradigm. Analytical evaluations of mean, median, and semi-interquartile range values, as well as Theil’s inequality coefficients, root mean squared error, and mean of absolute deviation) values have been observed. The convergence and correctness of the ANN-GA-SQP approach are further validated by statistical analyses.

Death by SARS-CoV 2: a Romanian COVID-19 multi-centre comorbidity study

Evidence regarding the relation between SARS-CoV-2 mortality and the underlying medical condition is scarce. We conducted an observational, retrospective study based on Romanian official data about location, age, gender and comorbidities for COVID-19 fatalities. Our findings indicate that males, hypertension, diabetes, obesity and chronic kidney disease were most frequent in the COVID-19 fatalities, that the burden of disease was low, and that the prognosis for 1-year survival probability was high in the sample. Evidence shows that age-dependent pairs of comorbidities could be a negative prognosis factor for the severity of disease for the SARS-CoV 2 infection.