Mucormycosis in a Patient with Severe COVID-19 Disease-The First Case Report in Romania and a Literature Review.

INTRODUCTION: COVID-19 infection is often associated with a vast spectrum of opportunistic bacterial and fungal infections. Herein, we share a summary of the first case of COVID-19-associated mucormycosis (CAM) in a patient from Romania. CASE PRESENTATION: A 51-year-old male non-smoker, with no known relevant medical history, who denied any previous alcohol use and was vaccinated against COVID-19 (complete scheme with Vaxzevria), was admitted to the hospital for severe COVID-19 infection. The first mucormycosis-related symptoms were reported on the eighth day of admission and were followed by the rapid deterioration of the patient's condition and, consequently, death. The main aggravating factors, which were identified to be associated with the development of mucormycosis and with the poor outcome, were the association of severe COVID-19, new-onset COVID-19-triggered type 2 diabetes, and corticoid treatment for severe COVID-19. CONCLUSION: The association between severe COVID-19 and newly diagnosed type 2 diabetes, triggered by COVID-19 infection, increases the risk of severe opportunistic fungal infections and the associated mortality rates.

Beyond the Digital Competencies of Medical Students: Concerns over Integrating Data Science Basics into the Medical Curriculum.

Introduction. Data science is becoming increasingly prominent in the medical profession, in the face of the COVID-19 pandemic, presenting additional challenges and opportunities for medical education. We retrospectively appraised the existing biomedical informatics (BMI) and biostatistics courses taught to students enrolled in a six-year medical program. Methods. An anonymous cross-sectional survey was conducted among 121 students in their fourth year, with regard to the courses they previously attended, in contrast with the ongoing emergency medicine (EM) course during the first semester of the academic year 2020−2021, when all activities went online. The questionnaire included opinion items about courses and self-assessed knowledge, and questions probing into the respondents' familiarity with the basics of data science. Results. Appreciation of the EM course was high, with a median (IQR) score of 9 (7−10) on a scale from 1 to 10. The overall scores for the BMI and biostatistics were 7 (5−9) and 8 (5−9), respectively. These latter scores were strongly correlated (Spearman correlation coefficient R = 0.869, p < 0.001). We found no correlation between measured and self-assessed knowledge of data science (R = 0.107, p = 0.246), but the latter was fairly and significantly correlated with the perceived usefulness of the courses. Conclusions. The keystone of this different perception of EM versus data science was the courses' apparent value to the medical profession. The following conclusions could be drawn: (a) objective assessments of residual knowledge of the basics of data science do not necessarily correlate with the students' subjective appraisal and opinion of the field or courses; (b) medical students need to see the explicit connection between interdisciplinary or complementary courses and the medical profession; and (c) courses on information technology and data science would better suit a distributed approach across the medical curriculum.

The Impact of COVID-19 Lockdown on Glycemic Balance in Romanian Patients with Type 1 Diabetes Mellitus.

Introduction: The COVID-19 pandemic has brought major changes not only at the economic and social level but especially in the medical system. Objective: To evaluate the impact of COVID-19 lockdown on the quality of glycemic control in Romanian patients with type 1 diabetes mellitus (T1DM). Material and Method: Our study group included 102 Romanian volunteers' patients with T1DM from both urban and rural areas. Data were collected during an interview, based on a structured questionnaire with multiple-choice questions about diabetes management during lockdown, how they interact with their diabetologist, how they accessed the treatment and what other factors influenced their diabetes management during the lockdown. Results: Blood glucose levels were significantly higher in the MDII group as a consequence of delayed administration of insulin corrections due to inadequate insulin dosing (60% vs 31.81%; χ 2 = 5.51, p = 0.018). In addition, insulin pump users had improved response to stress and anxiety (ie, additional therapeutic safety being provided by use of insulin pump; in some devices, blood glucose being continuously monitored, leading to premature detection of important blood glucose excursions) compared to insulin pen users (χ 2 = 5.09, p = 0.024). In the context of hypoglycemia, we observed that in the pen MDII group, more users have administered an excess of insulin, compared with the pump users (80% vs 45.45%; χ 2 = 10.34; p = 0.001). Conclusion: A lower impact of COVID-19 lockdown on glycemic control was observed in patients with T1DM treated using insulin pumps compared to patients with T1DM who administered their insulin using insulin pens. Telemedicine and online consultations have brought significant improvements in diseases management. Stress, emotions, and anxiety were among the main reasons that led to increases in blood sugar levels, suggesting that the psychological impact may have long-term complications.

Factors Influencing the Desirability, Acceptability, and Adherence of Patients with Diabetes to Telemedicine.

Background and Objectives: Telemedicine solutions have proven their value and efficacy in augmenting diabetes care. In addition to the availability of tools needed to implement telemedicine solutions for patients with diabetes, the patients' desirability, acceptance, and adherence represent major burdens in implementing them. The main aim of this research is to evaluate which factors are influencing the desirability, acceptance, and adherence of patients with diabetes to telemedicine interventions in diabetes care. Materials and Methods: QTelemeDiab, a previously validated instrument for assessing patients' desirability, acceptance, and adherence to telemedicine in diabetes care, was used on 114 enrolled patients with diabetes mellitus, in parallel with demographic, socio-economic, disease history, and psychometric data from all patients. Results: Left-skewed score distributions were observed for the QTelemeDiab total score (median = 166; skewness = -1.738), as well as all its components, thus denoting a high desirability, acceptance, and adherence towards telemedicine use. The presence of severe depression was associated with significant decreases in the QTelemeDiab score (148 vs. 167; p < 0.001), as well as on the desirability sub-score (101 vs. 115; p < 0.001) and adherence sub-score (30 vs. 35; p < 0.001). The presence of severe anxiety was associated with significant decreases in QTelemeDiab score (150 vs. 166), as well as the desirability sub-score (104 vs. 114; p = 0.008) and adherence sub-score (30 vs. 34; p = 0.012). Conclusions: There is a high desirability, acceptance, and adherence to the use of telemedicine interventions in patients with diabetes, both in special and in normal epidemiological settings. The presence of severe anxiety decreases the patient's desirability, acceptance, and adherence, while the presence of severe depression decreases the patient's desirability and adherence to the use of telemedicine interventions in diabetes care.

Practical Applicability of the ISARIC-4C Score on Severity and Mortality due to SARS-CoV-2 Infection in Patients with Type 2 Diabetes.

Background and objectives. There is a bidirectional relationship between SARS-CoV-2 infection and diabetes mellitus (DM), as people with DM are more vulnerable, and SARS-CoV-2 infections worsen the prognosis in these patients. The main purpose of the study was to evaluate the application validity of the ISARIC-4C score in patients confirmed with SARS-CoV-2 infection. Materials and Methods. The study included 159 patients previously known to have type 2 DM and confirmed positive for SARS-CoV-2 infection. We analyzed the concordance between the clinical evaluation of the patients and the ISARIC-4C score. Results. The mortality rate in hospitalized patients was 25.15%. The mortality risk was higher for ISARIC-4C values >14 than in the opposite group (63.93% vs. 31.24%; p < 0.001). The area under the curve (AUC) of the mortality score was 0.875 (95% CI: 0.820-0.930; p < 0.001), correctly classifying 77.36% of the cohort. A cut-off value of >14 had a sensitivity of 87.80% (95% CI: 87.66-87.93), specificity 73.72% (95% CI: 73.48-73.96), positive predictive value 53.73% (95% CI: 53.41-54.04), and negative predictive value 94.56% (95% CI: 94.5-94.62). The Cox regression model showed that the length of hospitalization (LH) was significantly influenced by body mass index, lung impairment, and aspartate aminotransferase, increasing the hazards, while lower HbA1c and lower SatO2 significantly decreased the hazards. Conclusions. ISARIC-4C score estimates the likelihood of clinical deterioration and the mortality risk in patients hospitalized with type 2 DM and positive for SARS-CoV-2, being useful in assessing the prognosis from the onset, as well as in developing therapeutic strategies.

Predictors for COVID-19 Complete Remission with HRCT Pattern Evolution: A Monocentric, Prospective Study.

There are growing concerns that some COVID-19 survivors may acquire fibrosis and other irreversible lung abnormalities. The purpose of this prospective study was to assess the rate and predictors of complete resolution of COVID-19 pneumonia by pursuing a hypothetical relation between time and imaging pattern evolution using HRCT findings. A monocentric prospective cohort study with a consecutive-case enrolment design was implemented during a five-month period, having a total of 683 post-COVID patients eligible for inclusion and 635 evaluations with complete follow-up for chest HRCT. The target for post-COVID evaluations consisted of performing HRCT 90 days after a confirmed SARS-CoV-2 infection. The studied patients had an average age of 54 years, ranging between 18 and 85 years old, and an average duration from the first symptoms until HRCT was performed of 74 days. At the post-COVID follow-up, 25.8% had a complete imagistic remission. The most common appearance with HRCT was "ground glass" in 86.6% in patients with persistent COVID-19, followed by reticulations, present in 78.8%, and respectively pleural thickening in 41.2% of cases. The mean total HRCT scores were statistically significantly higher in patients older than 65 years (10.6 ± 6.0) compared to the 40-65 group (6.1 ± 6.1) and the 18-40 age group (2.7 ± 4.8) (p < 0.001). Chest HRCT is a "time window" in documenting temporal persistent radiologic features of lung injury 90 days after SARS-CoV-2 infection, determining the pathologic basis of so-called "long COVID". The complete remission was associated with a significantly higher average follow-up period and a significantly lower average patient age. Persistent HRCT features of ground glass, reticulation, and pleural thickening are associated with a higher total CT score and older age.

Increased Incidence of Type 1 Diabetes during the COVID-19 Pandemic in Romanian Children.

Background and Objective: It is known that several viruses are involved in the pathogenesis of type 1 diabetes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new worldwide spread virus that may act as a trigger for the autoimmune destruction of the ß-cells, as well, and thus lead to an increase in the incidence of type 1 diabetes. Material and Methods: The Romanian National Organization for the Protection of Children and Adolescents with Diabetes (ONROCAD) has collected information regarding new cases of type 1 diabetes in children aged 0 to 14 years from all over the country since 1996 and has computed the incidence of type 1 diabetes in this age group. Results: We observed a marked increase in the incidence of type 1 diabetes in the first year of the COVID-19 pandemic, with 16.9%, from 11.4/100,000 in 2019 to 13.3/100,000 in 2020, much higher compared to previous years (mean yearly increase was 5.1% in the period 1996-2015 and 0.8% in the interval 2015-2019). The proportion of newly diagnosed cases was significantly higher in the second half of 2020 compared to the second half of the previous years (57.8 vs. 51%, p < 0.0001). Conclusions: All these aspects suggest the role that SARS-CoV-2 could have in triggering pancreatic autoimmunity. To confirm this, however, collecting information from larger populations from different geographical regions, monitoring the incidence curves over a period of several years, and gathering background information on COVID-19 and/or data on COVID-19 specific antibodies are needed.

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.