Search Results (3,445)

Objective—To identify effective data analytics and machine learning solutions that can help in the decision-making process in the medical domain and contribute to the understanding of COVID-19 disease. In this study, we analyze data from anonymized electronic medical records of 4711 patients with COVID-19 disease admitted to hospital in Atlanta. Methods—We used random forest, LightGBM, XGBoost, CatBoost, KNN, SVM, logistic regression, and MLP neural network models in this work. The models are evaluated depending on the type of prediction by relevant metrics, especially accuracy, F1-score, and ROC AUC score. Another aim of the work was to find out which factors most affected severity and mortality risk among the patients. To identify the important features, different statistical methods were used, as well as LASSO regression, and explainable artificial intelligence (XAI) method SHAP values for model explainability. The best models were implemented in a web application and tested by medical experts. The model for prediction of mortality risk was tested on a validation cohort of 45 patients from the Department of Infectiology and Travel Medicine, L. Pasteur University Hospital in Košice (UNLP). Results—Our study shows that the best model for predicting COVID-19 disease severity was the LightGBM model with accuracy of 88.4% using all features and 89.5% using the eight most important features. The best model for predicting mortality risk was also the LightGBM model, which achieved a ROC AUC score of 83.7% and a classification accuracy of 81.2% using all features. Using a simplified model trained on the 15 most important features, the ROC AUC score was 83.6% and the classification accuracy was 80.5%. We deployed the simplified models for predicting COVID-19 disease severity and for predicting the risk of COVID-19-related death in a web-based application and tested them with medical experts. This test resulted in a ROC AUC score of 83.6% and an overall prediction accuracy of 73.3%. Full article

Background/Objective: The COVID-19 pandemic profoundly transformed social life worldwide, indiscriminately affecting individuals across all age groups. Children have not been exempted from the risk of severe illness and death caused by COVID-19. Objective: This paper sought to describe the clinical findings, laboratory and imaging results, and hospital care provided for severe and critical cases of COVID-19 in unvaccinated children, with or without severe asthma, hospitalized in a public referral service for COVID-19 treatment in the Brazilian state of Pernambuco. Methods: This was a case series study of severe and critical COVID-19 in hospitalized, unvaccinated children, with or without severe asthma, conducted in a public referral hospital between March 2020 and June 2021. Results: The case series included 80 children, aged from 1 month to 11 years, with the highest frequency among those under 2 years old (58.8%) and a predominance of males (65%). Respiratory diseases, including severe asthma, were present in 73.8% of the cases. Pediatric multisystem inflammatory syndrome occurred in 15% of the children, some of whom presented with cardiac involvement. Oxygen therapy was required in 65% of the cases, mechanical ventilation in 15%, and 33.7% of the children required intensive care in a pediatric intensive care unit. Pulmonary infiltrates and ground-glass opacities were common findings on chest X-rays and CT scans; inflammatory markers were elevated, and the most commonly used medications were antibiotics, bronchodilators, and corticosteroids. Conclusions: This case series has identified key characteristics of children with severe and critical COVID-19 during a period when vaccines were not yet available in Brazil for the study age group. However, the persistence of low vaccination coverage, largely due to parental vaccine hesitancy, continues to leave children vulnerable to potentially severe illness from COVID-19. These findings may inform the development of public health emergency contingency plans, as well as clinical protocols and care pathways, which can guide decision-making in pediatric care and ensure appropriate clinical management, ultimately improving the quality of care provided. Full article

High-quality end-of-life care (EoLC) is a critical yet often underemphasised component of oncology care. Several shortcomings in the delivery of EoLC for oncology patients in our centre during the COVID-19 pandemic were identified in our initial 2021 audit. In 2022, we introduced a care of dying patients proforma, an EoLC quality checklist, targeted education and training for staff, and an expanded end-of-life (EoL) committee. This re-audit aimed to review how these changes impacted on the care received by patients in a tertiary cancer centre. A second retrospective re-audit of patients who died between 11 July 2022 and 30 April 2023 was performed to assess quality of EoLC using the Oxford Quality indicators. A total of 72 deaths occurred over the audit period. Quality of EoLC improved significantly when compared to the initial audit (χ² (3, n = 138) = 9.75, p = 0.021). Exploration of patients’ wishes was documented in 48.8% and referral to pastoral care was documented in 68.3%, from 24.2% and 10.6%, respectively. The proportion of patients receiving poor EoLC reduced from 21.2% to 8.3%. Our study demonstrates the benefits of simple interventions, the importance of re-audit, and the role of ongoing interdisciplinary commitment to improving EoLC for our patients. Full article

Background and Objectives: Euthyroid sick syndrome, or non-thyroidal illness syndrome, has been observed in severely ill patients and has been found to be an index of prognosis. It has been detected in patients with severe infectious diseases, e.g., those with severe COVID-19 infection. Prognostic indicators of the outcome of severe COVID-19 disease are important for the prognosis of individual as well as groups of patients. The aim of this study was to identify euthyroid sick syndrome in patients admitted for severe COVID-19 disease and its relationship to disease severity and outcome. Materials and Methods: In a cohort of patients admitted to hospital for severe COVID-19 disease, thyroid function in patients requiring hospitalization was evaluated by measuring TSH, FreeT₃ (FT₃), and FreeT₄ (FT₄) levels. Patients were classified into four groups: a group with uncompromised respiratory function (pO2 > 70 mmHg, without need of oxygen supplementation) (disease severity 1); a group with mild respiratory insufficiency (pO2 50–60 mmHg, in need of oxygen supplementation with nasal cannula) (disease severity 2); a group with severe respiratory insufficiency (pO2 < 50 mmHg, in need of oxygen supplementation with high flow oxygen) (disease severity 3); and a group with severe respiratory insufficiency requiring intubation (pO2 < 60 mmHg on high flow oxygen supplementation) (disease severity 4). Results: In this cohort, euthyroid sick syndrome was diagnosed in 57.1% of the patients. The presence of euthyroid sick syndrome was related to increased disease severity and adverse disease outcome, i.e., death. FT₃ levels were inversely related to CRP levels. Conclusions: Euthyroid sick syndrome may be observed in severe COVID-19 disease and is related to increased disease severity and adverse outcomes. Measurement of thyroid hormones in patients hospitalized for severe COVID-19 infection may aid in the prognosis of the disease. Full article

Background and Objectives: Ischemic stroke (IS) is a critical health issue, affecting individuals of all ages, sexes, and backgrounds. Mounting evidence suggests that sex indeed could play some distinct role in shaping the incidence, outcomes, and treatment of IS. In the context of the COVID-19 pandemic, contradictory findings from previous studies that also addressed sex differences in cerebrovascular diseases demonstrate the need for further focused research. This study aimed to evaluate the sex discrepancies in the clinical presentation of IS and its outcomes in patients admitted to Kaunas Hospital of the Lithuanian University of Health Sciences (LUHS), Lithuania. Materials and Methods: This is a retrospective record-based single-center study. All the study patients—727 men and 1082 women—enrolled between 1 January 2020, and 27 February 2022; suffered from acute IS; and had absolute contraindications against interventional IS treatment. These patients received a conservative non-interventional IS treatment at the neurological department of the LUHS’s Kaunas Hospital. The sociodemographic data; laboratory findings; comorbidities, including COVID-19; in-hospital complications; and outcome factors were obtained from the patients’ medical records and evaluated by deploying appropriate statistical tests. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by the Cox proportional hazards regression for in-hospital lethality. Results: The mean age of IS patients was significantly higher in women compared to men (p < 0.001), as was the proportion of in-hospital deaths (19.10% and 15.36%, respectively; p < 0.05). The mean total number of in-hospital complications was again significantly higher in the group of women compared to men (p < 0.05). The prevalence of COVID-19 was higher in men compared to women (p < 0.05). COVID-19 diagnosis (HR = 1.53; p = 0.02) and acute in-hospital pulmonary complications (HR = 1.91; p = 0.008) significantly increased the risk of in-hospital lethality in men. The risk of in-hospital lethality was significantly higher in women with comorbid diabetes mellitus type 2 (DM) compared to those with comorbid isolated arterial hypertension (AH) (HR = 2.25, p = 0.007). Increased C-reactive protein elevated the risk of in-hospital lethality by more than twice in both men and women (HR = 2.46; p < 0.001 and HR = 2.28; p < 0.001, respectively). Conclusions: The following differences between men and women with IS were determined: Acute in-hospital pulmonary complications, including COVID-19, significantly increased the risk of in-hospital lethality in the male group, but not in women. However, women suffering from DM had a significantly increased risk of in-hospital lethality compared with those women IS patients with AH or chronic ischemic heart disease (IHD). Increased C-reactive protein was associated with an elevated risk of in-hospital lethality both in male and female groups. Full article

Despite the current level of public immunity to SARS-CoV-2, the early inflammatory events associated with respiratory distress in COVID-19 patients are not fully elucidated. Syrian golden hamsters, facultative hibernators, recapitulate the phenotype of SARS-CoV-2-induced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)—induced severe acute lung injury seen in patients. In this study, we describe the predominance of the innate immune response in hamsters inoculated with four different SARS-CoV-2 variants, underscoring phenotypic differences among them. Severe inflammatory lung injury was chronologically associated with acute and significant weight loss, mainly in animals inoculated with A.2 and Delta variants. Omicron-infected animals had lower overall histopathology scores compared to other variants. We highlight the central role of endothelial injury and activation in the pathogenesis of experimental SARS-CoV-2 infection in hamsters, characterised by the presence of proliferative type I and type II pneumocytes with abundant surfactant expression, thereby maintaining hyperinflated alveolar fields. Additionally, there was evidence of intrapulmonary lymphatic vessel proliferation, which was accompanied by a lack of detectable microthrombosis in the lung parenchyma. However, white microthrombi were observed in lymphatic vessels. Our findings suggest that the physiological compensatory mechanisms that maintain respiratory homeostasis in Golden Syrian hamsters prevent severe respiratory distress and death after SARS-CoV-2 infection. Full article

Prognostic scores that help allocate resources and time to the most critical patients could have potentially improved the response to the SARS-CoV-2 pandemic. We assessed the performance of five risk scores in predicting death or transfer to the intensive care unit (ICU) or sub-intensive care unit (SICU) in hospitalised patients with SARS-CoV-2 infection, with the three aims of retrospectively analysing the effectiveness of these tools, identifying frail patients at risk of death or complications due to infection, and applying these tools in the event of future pandemics. A retrospective observational study was conducted by evaluating data from patients hospitalised with SARS-CoV-2 infection. Among 134 patients considered, 119 were enrolled. All patients were adults, with a mean age of 64 years, and were hospitalised in the Infectious Diseases Division. We compared the five scores using receiver operating characteristic curves and calculation of the areas under the curve (AUCs) to determine their predictive performance. Four of the five scores demonstrated a high accuracy in predicting mortality among COVID-19-positive patients, with AUCs between 0.749 and 0.885. However, only two of the five scores showed good performance in predicting transfer to the ICU or SICU, with AUCs ranging from 0.740 to 0.802. The 4C Mortality Score and COVID-GRAM presented the highest performance for both outcomes. These two scores are easy to apply and low cost. They could still be used in clinical practice as predictive tools for frail and elderly patients with SARS-CoV-2 infection, as well as in the event of future pandemics. Full article

Objectives: COVID-19, caused by the SARS-CoV-2 virus, has infected over 777 million individuals and led to approximately 7 million deaths worldwide. Despite significant efforts to develop effective therapies, treatment remains largely supportive, especially for severe complications like acute respiratory distress syndrome (ARDS). Numerous compounds from diverse pharmacological classes are currently undergoing preclinical and clinical evaluation, targeting both the virus and the host immune response. Methods: Despite the large number of articles published and after a preliminary attempt was published, we discarded the option of a systematic review. Instead, we have done a description of therapies with these results and a tentative mechanism of action. Results: Preliminary studies and early-phase clinical trials have demonstrated the potential of Mesenchymal Stem Cells (MSCs) in mitigating severe lung damage in COVID-19 patients. Previous research has shown MSCs to be effective in treating various pulmonary conditions, including acute lung injury, idiopathic pulmonary fibrosis, ARDS, asthma, chronic obstructive pulmonary disease, and lung cancer. Their ability to reduce inflammation and promote tissue repair supports their potential role in managing COVID-19-related complications. This review demonstrates the utility of MSCs in the acute phase of COVID-19 and postulates the etiopathogenic role of mitochondria in Long-COVID. Even more, their combination with other therapies is also analyzed. Conclusions: While the therapeutic application of MSCs in COVID-19 is still in early stages, emerging evidence suggests promising outcomes. As research advances, MSCs may become an integral part of treatment strategies for severe COVID-19, particularly in addressing immune-related lung injury and promoting recovery. However, a full pathogenic mechanism may explain or unify the complexity of signs and symptoms of Long COVID and Post-Acute Sequelae (PASC). Full article

Background: Osteogenesis imperfecta (OI) is a rare genetic connective tissue disorder characterized by bone fragility, most often caused by pathogenic variants in type I collagen genes. In this context, we aimed to describe the clinical and epidemiological characteristics of patients with OI who were hospitalized for coronavirus disease (COVID)-19 in Brazil between 2020 and 2024. Methods: We conducted a retrospective descriptive analysis using data from the Brazilian Unified Health System (SUS, which stands for the Portuguese Sistema Único de Saúde) through the Open-Data-SUS platform. Patients with a confirmed diagnosis of OI and hospitalization due to COVID-19 were included. Descriptive statistical analysis was performed to evaluate demographic, clinical, and outcome-related variables. We included all hospitalized COVID-19 cases with a confirmed diagnosis of OI between 2020 and 2024. Results: Thirteen hospitalized patients with OI and COVID-19 were identified. Most were adults (9; 69.2%), male (7; 53.8%), self-identified as White (9; 69.2%), and all were residents of urban areas (13; 100.0%). The most frequent symptoms were fever (10; 76.9%), cough (9; 69.2%), oxygen desaturation (9; 69.2%), dyspnea (8; 61.5%), and respiratory distress (7; 53.8%). Two patients had heart disease, one had chronic lung disease, and one was obese. As for vaccination status, five patients (38.5%) had been vaccinated against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Four patients (30.8%) required admission to an intensive care unit (ICU), and six (46.2%) required noninvasive ventilatory support. Among those admitted to the ICU, only two required invasive mechanical ventilation. The clinical outcome was death in two cases (15.4%). Both patients were male, White, and had not been vaccinated against SARS-CoV-2. One was 47 years old, was not admitted to the ICU, but required noninvasive ventilation. Despite the underlying condition most patients had favorable outcomes, consistent with an international report. Conclusions: This is the first report to describe the clinical and epidemiological profile of patients with OI hospitalized for COVID-19 in Brazil, providing initial insights into how a rare bone disorder intersects with an acute respiratory infection. The generally favorable outcomes observed—despite the underlying skeletal fragility—suggest that individuals with OI are not necessarily at disproportionate risk of severe COVID-19, particularly when appropriately monitored. The occurrence of deaths only among unvaccinated patients underscores the critical role of SARS-CoV-2 vaccination in this population. Although pharmacological treatment data were unavailable, the potential protective effects of bisphosphonates and vitamin D merit further exploration. These findings support the need for early preventive strategies, systematic vaccination efforts, and dedicated clinical protocols for rare disease populations during infectious disease outbreaks. Full article

Background/Objectives: Osteonecrosis of the femoral head (ONFH) is a common condition in hip surgery, which is characterized by the death of bone cells due to disruption of the blood supply and ultimately irreversible destruction of the hip joint. As a result of the COVID-19 pandemic, a significant increase in the incidence of ONFH has been identified. To better understand the pathogenesis of ONFH in the context of COVID-19, our research aimed to determine pathomorphological changes in articular tissues specific to post-COVID-19 ONFH. Methods: Using morphological, morphometric, and statistical methods, the femoral heads after hip arthroplasty were retrospectively studied in patients with post-COVID-19 ONFH (n = 41) compared to a non-COVID-19 group of patients (n = 47). Results: Our results revealed that the key morphofunctional biomarkers of post-COVID-19 ONFH were clusters of mast cells, extensive areas of fibrosis, numerous arterial and venous thrombi, and giant cell granulomas. The potential relationship of those morphological features with the action of the SARS-CoV-2 coronavirus was discussed. Conclusions: Mast cells have been proposed as the leading players that may trigger the main molecular and cellular mechanisms in the development of post-COVID-19 ONFH and can be considered a diagnostic sign of the disease. Full article

Objectives: To confirm a conjecture from year 2020 of the SARS-CoV-2 (COVID-19) pandemic suggesting policy alternatives to substantially reduce mortality burden. Methods: Data from a global COVID-19 database comparing different countries on cumulative mortality and vaccination were analyzed in conjunction with surveys of seropositivity. Predictions of final mortality burden under an alternate policy scenario for Japan were calculated and the COVID-19 outcomes for China were assessed. Results: By 2025, Western countries (US, UK, Brazil and Italy) had cumulative mortality rates in the range of 3339–3548 deaths per million, about 6-fold higher than East Asian and New Zealand ‘zero-COVID’ countries. Moderate virus suppression in Japan produced the lowest cumulative mortality of the countries analyzed; if earlier policies had been maintained, the predicted cumulative mortality rate by 2025 would be one-tenth that of the US, UK, Brazil and Italy and one-half to one-third that of other zero-COVID countries. For China, transitioning from a zero-COVID policy in 2022–2023, the estimated 2025 cumulative mortality was 1607/million, half that of Western countries. Conclusions: To minimize COVID-19 mortality would require: (1) Innovation on systematic sampling of ambient airborne virus exposure to sustain low but non-zero virus levels across entire populations, and (2) seropositivity assessment (instead of mass PCR testing for new cases) for calibrating exposure management, and tracking and protecting high-risk populations. Full article

The distinctive nature of ferroptosis is that it is induced chemically and signifies a regulated cell death dependent on iron-dependent lipid peroxidation. The mechanism of ferroptosis involves oxidative damage to the membrane lipids. It differs from apoptosis and necroptosis, triggering metabolic changes in the iron-lipid homeostasis and antioxidant defense, such as glutathione (GSH) and glutathione peroxidase 4 (GPX4). Herein, the molecular mechanisms of ferroptosis and its role in the tumorigenesis process and infection-related diseases are presented. It also discusses metabolic reprogramming as a factor that modifies the levels of cell-sensitizing polyunsaturated fatty acids (PUFAs), iron dysregulation, and oxidative stress in aggressive cancers and inflammatory diseases such as sepsis, tuberculosis, and COVID-19. Particular attention is given to chemical modulators of ferroptosis, including synthetic inducers and inhibitors, as well as bioactive natural compounds. Our focus is on the significance of analytical tools, such as lipidomics and metabolomics, in understanding the phenomenon of ferroptosis. Finally, we explore novel therapeutic approaches targeting ferroptosis in cancer and infectious diseases, while navigating both the opportunities and challenges in drug development. The review then draws on chemical biology and disease pathology to propose promising areas of study for ferroptosis-related therapies. Full article

Background: Myocarditis is associated with increased mortality due to complications such as cardiogenic shock and arrhythmia. Trends of myocarditis-related mortality in the United States, along with demographic and regional disparities and changes during the COVID-19 pandemic, are unknown. Methods: We used the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database to extract data for myocarditis deaths from 1999 to 2023. The Joinpoint Regression Program was used to analyze long-term trends in mortality, and R Studio (version 4.4.1) was used to calculate expected and excess mortality for 2020 to 2023. Results: There were 33,016 myocarditis-related deaths from 1999 to 2023. The age-adjusted mortality rate (AAMR) of myocarditis deaths decreased by 46.08% from 7.40 (95% CI: 7.04–7.76) in 1999 to 3.99 (95% CI: 3.74–4.23) in 2019, with an APC of −2.59 (95% CI: −2.97 to −2.24). From 2019 to 2021, the AAMR increased by 46.62% to 5.85 (95% CI: 5.56–6.14) by 2021 (2019–2021 APC 22.3%*), reversing the gains of the previous two decades. By 2023, the AAMR recovered to 4.33 (95% CI: 4.09 to 4.58), though mortality was still higher than expected from pre-pandemic trends. From 2020 to 2023, there were 40.12% more deaths than expected, with 54.94% higher mortality in 2021. Briefly, 70.33% of excess myocarditis-related deaths also had COVID-19, with a peak of 76.15% of excess myocarditis deaths in 2021 being reported as involving COVID-19 infection. Significant disparities in mortality trends persisted, with males, NH Black or African Americans, and the elderly having higher mortality rates. Conclusions: Myocarditis mortality decreased in the United States from 1999 to 2019 but significantly increased during the COVID-19 pandemic years 2020 and 2021. At the height of the pandemic, COVID-19 infection contributed to almost three-quarters of excess myocarditis mortality. Significant disparities in myocarditis mortality persisted from 1999 to 2023. Full article

Background: Suicide in older adults represents an insufficiently addressed public health problem, despite the aging population and the increase in mental disorders in this group. The COVID-19 pandemic and associated measures, such as lockdown, could have exacerbated this phenomenon. This study aimed to analyze the impact of the confinement decreed during the state of alarm in Spain on the incidence of deaths by suicide in people over 70 years of age in Extremadura. Methods: An observational and retrospective study was carried out, using data from the Institutes of Legal Medicine and Forensic Sciences, comparing the figures for 2020 with the years 2019, 2021, along with the average for the period 2015–2019. Statistical analyses included Chi-square tests and calculation of Relative Risk with 95% CI. Results: The results revealed a significant increase in deaths by suicide in the third quarter of 2020 compared to the periods compared, especially among men. Conclusions: It is concluded that confinement may have negatively influenced the mental health of older adults, which underscores the need for specific interventions and attention to regional contextual factors. Full article

Numerous investigations have revealed elevated rates of post-traumatic stress symptoms (PTSS) following COVID-19 infection. This study examined the relation between illness-related and psychosocial variables in the severity of PTSS in individuals previously infected with COVID-19. The study sample included 381 individuals who had been infected with COVID-19 within the previous 4 months. Participants completed online measures of infection symptom severity, ongoing COVID-19 symptom burden, fear of dying and catastrophic thinking. Age, infection severity, ongoing COVID-19 symptom burden, and fear of dying and catastrophic thinking were significant correlates of the severity of PTSS. Hierarchical regression analysis revealed that age, gender, ongoing COVID-19 symptom burden, fear of dying and catastrophic thinking each made unique significant contributions to the prediction of the severity of PTSS. The results of the present study suggest that fear of dying and catastrophic thinking about COVID-19 symptoms might contribute to the development of PTSS following COVID-19 infection. Interventions aimed at reducing death fears and modifying negative and alarmist appraisals of COVID-19 symptoms might contribute to more positive recovery outcomes in individuals who are infected with COVID-19. The cross-sectional design of this study precludes statements about causality, and conclusions about temporal relations among variables must await replication in a longitudinal design. Full article