Association of Pre-Pregnancy Obesity and COVID-19 with Poor Pregnancy Outcome.

BACKGROUND AND OBJECTIVES: During the COVID-19 pandemic, a possible overlap of obesity and COVID-19 infection has raised concerns among patients and healthcare professionals about protecting pregnant women from developing a severe infection and unwanted pregnancy outcomes. The aim of this study was to evaluate the associations of body mass index with clinical, laboratory, and radiology diagnostic parameters as well as pregnancy complications and maternal outcomes in pregnant patients with COVID-19. MATERIALS AND METHODS: Clinical status, laboratory, and radiology diagnostic parameters and pregnancy outcomes were analyzed for pregnant women hospitalized between March 2020 and November 2021 in one tertiary-level university clinic in Belgrade, Serbia, due to infection with SARS-CoV-2. Pregnant women were divided into the three sub-groups according to their pre-pregnancy body mass index. For testing the differences between groups, a two-sided p-value <0.05 (the Kruskal-Wallis and ANOVA tests) was considered statistically significant. RESULTS: Out of 192 hospitalized pregnant women, obese pregnant women had extended hospitalizations, including ICU duration, and they were more likely to develop multi-organ failure, pulmonary embolism, and drug-resistant nosocomial infection. Higher maternal mortality rates, as well as poor pregnancy outcomes, were also more likely to occur in the obese group of pregnant women. Overweight and obese pregnant women were more likely to develop gestational hypertension, and they had a higher grade of placental maturity. CONCLUSIONS: Obese pregnant women hospitalized due to COVID-19 infection were more likely to develop severe complications.

Encephalitis associated with a monoclonal protein band present in blood, urine and cerebrospinal fluid.

Introduction: Monoclonal protein bands are present mainly in blood and secondary in urine representing specific antibody produced in excess by abnormal lymphocytes or plasma cells.We describe a case of a patient with acute encephalitis associated with an unexpected finding of a monoclonal protein band present in blood, urine and in cerebrospinal fluid (CSF). Case presentation: This 50-year-old woman with no significant past medical history, with the exception of unintentional weight loss exceeding 5 kg over the last 3 months, presented to the emergency department with seizures and altered mental status, after 3 days of vomiting and headaches. Magnetic Resonance Imaging showed lesions suspicious for infectious encephalitis/meningitis and for ischemia possibly related to central nervous system (CNS) autoimmune vasculopathy/vasculitis. The patient died the following day after losing brainstem reflexes. Testing for the previously mentioned etiologies returned negative with the exception of high protein concentration and increased immunoglobulin gamma (IgG) concentration in the CSF. Protein electrophoresis, ordered in error, showed a well-defined IgG with lambda light chain monoclonal protein band running in similar positions in serum, urine and in CSF. Due to SARS-CoV-2 PCR positivity no autopsy was performed. Conclusion: The presence of this monoclonal protein band produced in the CNS suggests the diagnosis of CNS myeloma. The accelerated course in this case could be the result of the CNS myeloma or lymphoma responding to SARS-CoV-2 infection. Testing for monoclonal protein bands in CSF, in patients with pertinent clinical presentation would boost the awareness of this these diseases improving patient care.

The role of acute rehabilitation in COVID-19 patients.

BACKGROUND: In the published literature there is scarce data on the importance of acute rehabilitation in patients suffering from COVID-19 disease. AIM: Evaluation of the feasibility of respiratory and neuromuscular rehabilitation treatment in stable acute COVID-19 inpatients. DESIGN: The study was designed as an observational prospective investigation of two cohorts respectively identified as Mild/Moderate and Stable Severe COVID-19 disease. All patients received a rehabilitation treatment consisting of breathing exercises, range of motion exercises and strengthening exercises, with the main difference in intensity and progression of treatment, depending on individual capacity of patient. SETTING: Inpatients with diagnosed mild to moderate, or stable severe COVID-19 infection were included in the study. POPULATION: Acute COVID-19 inpatients. METHODS: Patients were divided into two groups depending on the severity of disease: "mild to moderate group" (MMG) and "stable severe group" (SSG). Functional outcomes included the Barthel Index (BI), Six Minute Walk Test (6MWT), Borg Scale for dyspnea, "Time Up and Go" Test (TUG), "Sit To Stand" test (STS), "One Leg Stance Test" (OLST) and Beck Depression Inventory (BDI) were evaluated at baseline and after rehabilitative treatment, on discharge. RESULTS: We included 147 acute COVID-19 inpatients (75 male and 72 female), mean aged 63.90±13.76 years. There were noticeable statistically significant improvements in all observed measurements in both groups. Comparison between groups showed significant difference in MMG compared to SSG in all functional outcomes: TUG (P<0.001), STS (P<0.001), OLST (P<0.001), BDI (P=0.008), BI (P<0.001), and Borg scale for dyspnea (P<0.001). Despite the significant improvements of BI in SSG, the obtained values showed that the patients were still not functionally independent. CONCLUSIONS: Acute respiratory and neuromuscular rehabilitation program is a feasibile, but also effective and safe method for improving functional status in patients with COVID-19 infection. CLINICAL REHABILITATION IMPACT: Results of the present study implicate that a supervised early rehabilitation program, implemented in the treatment of patients with COVID-19 disease in the acute phasis a feasible way for significant improvement of patient's functional outcomes. Early rehabilitation should be included into clinical protocols for the treatment of patients with COVID-19.

miRNAs as a Potential Biomarker in the COVID-19 Infection and Complications Course, Severity, and Outcome.

During the last three years, since the emergence of the COVID-19 pandemic, a significant number of scientific publications have focused on resolving susceptibility to the infection, as well as the course of the disease and potential long-term complications. COVID-19 is widely considered as a multisystem disease and a variety of socioeconomic, medical, and genetic/epigenetic factors may contribute to the disease severity and outcome. Furthermore, the SARS-COV-2 infection may trigger pathological processes and accelerate underlying conditions to clinical entities. The development of specific and sensitive biomarkers that are easy to obtain will allow for patient stratification, prevention, prognosis, and more individualized treatments for COVID-19. miRNAs are proposed as promising biomarkers for different aspects of COVID-19 disease (susceptibility, severity, complication course, outcome, and therapeutic possibilities). This review summarizes the most relevant findings concerning miRNA involvement in COVID-19 pathology. Additionally, the role of miRNAs in wide range of complications due to accompanied and/or underlying health conditions is discussed. The importance of understanding the functional relationships between different conditions, such as pregnancy, obesity, or neurological diseases, with COVID-19 is also highlighted.

Four Waves of the COVID-19 Pandemic: Comparison of Clinical and Pregnancy Outcomes.

During the last two and a half years, clinical manifestations, disease severity, and pregnancy outcomes have differed among pregnant patients with SARS-CoV-2 infection. These changes were preceded by the presence of new variants of SARS-CoV-2, known in the literature as variants of concern. The aim of this study is to describe the differences between maternal clinical characteristics and perinatal outcomes among pregnant women with COVID-19 during four waves of the COVID-19 epidemic in Serbia. This retrospective study included a series of 192 pregnant patients who were hospitalized due to the severity of their clinical status of SARS-CoV-2 infection. During four outbreaks of COVID-19 infection in Serbia, we compared and analyzed three sets of variables, including signs, symptoms, and characteristics of COVID-19 infection, clinical endpoints, and maternal and newborn parameters. During the dominance of the Delta variant, the duration of hospitalization was the longest (10.67 ± 1.42 days), the frequency of stillbirths was the highest (17.4%), as well as the frequency of progression of COVID infection (28.9%) and the requirement for non-invasive oxygen support (37%). The dominance of the Delta variant was associated with the highest number of prescribed antibiotics (2.35 ± 0.28), the most common presence of nosocomial infections (21.7%), and the highest frequency of corticosteroid therapy use (34.8%). The observed differences during the dominance of four variants of concern are potential pathways for risk stratification and the establishment of timely and proper treatments for pregnant patients. Early identification of the Delta variant, and possibly some new variants with similar features in the future, should be a priority and, perhaps, even an opportunity to introduce more accurate and predictive clinical algorithms for pregnant patients.

Impact of the COVID-19 Pandemic on the Outcomes of Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma: A Single Center Experience from a Developing Country.

Background and Objectives: Treatment of cancer patients during the COVID-19 pandemic has been a challenge worldwide. In accordance with the current recommendations for hepatocellular carcinoma (HCC) management during the COVID-19 pandemic, loco-regional therapy such as transarterial chemoembolization (TACE) was proposed with the purpose of achieving local tumor control and improving overall survival. The aim of this prospective cohort study was to evaluate the outcomes of TACE treatment in patients with HCC during the COVID-19 pandemic in comparison with the outcomes of patients treated in the pre-pandemic period. Materials and Methods: Between September 2018 and December 2021, 154 patients were managed by serial TACE procedures for different liver tumors. Ninety-seven patients met the study criteria and were divided into two groups: the study group n = 49 (patients treated from May 2020 to December 2021); the control group n = 48 (patients treated from September 2018 to May 2020). Results: The mean waiting time for TACE was significantly longer in the study group compared to the control group (p < 0.001). No significant difference in survival between the groups is noted (log-rank test p = 0.823). In multivariate analysis, the MELD score (HR 1.329, 95% CI 1.140−1.548, p < 0.001) remained a significant predictor of mortality. Conclusions: COVID-19 pandemic did not affect the final outcome of TACE treatment.

The Association between Participation in Fights and Bullying and the Perception of School, Teachers, and Peers among School-Age Children in Serbia.

Participating in physical fighting and bullying can be a cause of severe injury and death among school-age children. Research evidence can support school and health actors' efforts to improve school-age children's development and health capacity for life. The study aims to assess the prevalence of school-age children's participation in fights and bullying in Serbia, and to examine the relevance of students' socio-demographic characteristics and perceptions of school and relations with other students and professors for participation in fights and bullying. A secondary analysis is also performed on the original data of the 2017 HBSC study, which was conducted on 3267 students in a nationally representative sample of primary and high schools in Serbia. We sought to investigate the relationship between eight socio-demographic characteristics and nine school-related perceptions, with two outcome variables: taking part in fights and taking part in bullying, examined by using univariate and multivariate logistic regression. The main results show that 50.8% of boys and 17.1% of girls have taken part in fights, while 17.7% boys and 10.4% of girls have taken part in bullying. Students who felt a large and very large burden of school obligations were 1.43 times more likely to participate in bullying at least once, while they were 1.38 and 2.12 times more likely to participate in multiple fights and 4.04, 1.24, and 2.78 times more likely to participate multiple times in bullying. Multiple participation in fights and in bullying is significantly negatively associated with female gender, younger age years, good and very good perception of family financial status and quality of life, and positive perceptions of school and relations they have with other students and professors. Fights among school-age children are significantly positively associated with living with relatives/legal guardians and poor quality of life. In conclusion, the prevalence of participating in at least one fight/bullying is higher than in multiple fights/bullying. These associations suggest a necessity to enhance the monitoring and control of peer behavior among school-age children. The findings of the study imply key enablers of protection, such as building relationships based on team spirit and work, friendly behavior, empathy, and help, which should be included in the value system of school and family activities in programs to combat fights and bullying in school-age children.

Development and Validation of a Multivariable Predictive Model for Mortality of COVID-19 Patients Demanding High Oxygen Flow at Admission to ICU: AIDA Score.

INTRODUCTION: Risk stratification is an important aspect of COVID-19 management, especially in patients admitted to ICU as it can provide more useful consumption of health resources, as well as prioritize critical care services in situations of overwhelming number of patients. MATERIALS AND METHODS: A multivariable predictive model for mortality was developed using data solely from a derivation cohort of 160 COVID-19 patients with moderate to severe ARDS admitted to ICU. The regression coefficients from the final multivariate model of the derivation study were used to assign points for the risk model, consisted of all significant variables from the multivariate analysis and age as a known risk factor for COVID-19 patient mortality. The newly developed AIDA score was arrived at by assigning 5 points for serum albumin and 1 point for IL-6, D dimer, and age. The score was further validated on a cohort of 304 patients admitted to ICU due to the severe form of COVID-19. RESULTS: The study population included 160 COVID-19 patients admitted to ICU in the derivation and 304 in the validation cohort. The mean patient age was 66.7 years (range, 20-93 years), with 68.1% men and 31.9% women. Most patients (76.8%) had comorbidities with hypertension (67.7%), diabetes (31.7), and coronary artery disease (19.3) as the most frequent. A total of 316 patients (68.3%) were treated with mechanical ventilation. Ninety-six (60.0%) in the derivation cohort and 221 (72.7%) patients in the validation cohort had a lethal outcome. The population was divided into the following risk categories for mortality based on the risk model score: low risk (score 0-1) and at-risk (score > 1). In addition, patients were considered at high risk with a risk score > 2. By applying the risk model to the validation cohort (n = 304), the positive predictive value was 78.8% (95% CI 75.5% to 81.8%); the negative predictive value was 46.6% (95% CI 37.3% to 56.2%); the sensitivity was 82.4% (95% CI 76.7% to 87.1%), and the specificity was 41.0% (95% CI 30.3% to 52.3%). The C statistic was 0.863 (95% CI 0.805-0.921) and 0.665 (95% CI 0.598-0.732) in the derivation and validation cohorts, respectively, indicating a high discriminative value of the proposed score. CONCLUSION: In the present study, AIDA score showed a valuable significance in estimating the mortality risk in patients with the severe form of COVID-19 disease at admission to ICU. Further external validation on a larger group of patients is needed to provide more insights into the utility of this score in everyday practice.

Predictors of Mortality in Critically Ill COVID-19 Patients Demanding High Oxygen Flow: A Thin Line between Inflammation, Cytokine Storm, and Coagulopathy.

INTRODUCTION: Mortality among critically ill COVID-19 patients remains relatively high despite different potential therapeutic modalities being introduced recently. The treatment of critically ill patients is a challenging task, without identified credible predictors of mortality. METHODS: We performed an analysis of 160 consecutive patients with confirmed COVID-19 infection admitted to the Respiratory Intensive Care Unit between June 23, 2020, and October 2, 2020, in University Hospital Center Bezanijska kosa, Belgrade, Serbia. Patients on invasive, noninvasive ventilation and high flow oxygen therapy with moderate to severe ARDS, according to the Berlin definition of ARDS, were selected for the study. Demographic data, past medical history, laboratory values, and CT severity score were analyzed to identify predictors of mortality. Univariate and multivariate logistic regression models were used to assess potential predictors of mortality in critically ill COVID-19 patients. RESULTS: The mean patient age was 65.6 years (range, 29-92 years), predominantly men, 68.8%. 107 (66.9%) patients were on invasive mechanical ventilation, 31 (19.3%) on noninvasive, and 22 (13.8%) on high flow oxygen therapy machine. The median total number of ICU days was 10 (25th to 75th percentile: 6-18), while the median total number of hospital stay was 18 (25th to 75th percentile: 12-28). The mortality rate was 60% (96/160). Univariate logistic regression analysis confirmed the significance of age, CRP, and lymphocytes at admission to hospital, serum albumin, D-dimer, and IL-6 at admission to ICU, and CT score. Serum albumin, D-dimer, and IL-6 at admission to ICU were independently associated with mortality in the final multivariate analysis. CONCLUSION: In the present study of 160 consecutive critically ill COVID-19 patients with moderate to severe ARDS, IL-6, serum albumin, and D-dimer at admission to ICU, accompanied by chest CT severity score, were marked as independent predictors of mortality.