RESUMEN

Predictive tools provide a unique opportunity to explain the observed differences in outcome between patients of the COVID-19 pandemic. The aim of this study was to associate individual demographic and clinical characteristics with disease severity in COVID-19 patients and to highlight the importance of machine learning (ML) in disease prognosis. The study enrolled 344 unvaccinated patients with confirmed SARS-CoV-2 infection. Data collected by integrating questionnaires and medical records were imported into various classification machine learning algorithms, and the algorithm and the hyperparameters with the greatest predictive ability were selected for use in a disease outcome prediction web tool. Of 111 independent features, age, sex, hypertension, obesity, and cancer comorbidity were found to be associated with severe COVID-19. Our prognostic tool can contribute to a successful therapeutic approach via personalized treatment. Although at the present time vaccination is not considered mandatory, this algorithm could encourage vulnerable groups to be vaccinated.

RESUMEN

We describe a critically ill, SARS-CoV-2 positive patient with respiratory failure and thrombotic/livedoid skin lesions, appearing during the course of the disease. The biopsy of the lesions revealed an occlusive, pauci-inflammatory vasculopathy of the cutaneous small vessels characterized by complement and fibrinogen deposition on vascular walls, pointing to a thrombotic vasculopathy. Transmission electron microscopy of the affected skin failed to reveal any viral inclusions. Clinical evaluation and laboratory findings ruled out systemic coagulopathies and disseminated intravascular coagulation, drug-induced skin reaction, and common viral rashes. Our hypothesis is that the, herein evidenced, microvascular occlusive injury might constitute a significant pathologic mechanism in COVID-19, being a common denominator between cutaneous and pulmonary manifestations.

RESUMEN

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently evolved as a pandemic disease. Although the respiratory system is predominantly affected, cardiovascular complications have been frequently identified, including acute myocarditis, myocardial infarction, acute heart failure, arrhythmias and venous thromboembolic events. Pericardial disease has been rarely reported. We present a case of acute life-threatening cardiac tamponade caused by a small pericardial effusion in a mechanically ventilated patient with severe COVID-19 associated pneumonia. The patient presented acute circulatory collapse with hemodynamic features of cardiogenic or obstructive shock. Bedside echocardiography permitted prompt diagnosis and life-saving pericardiocentesis. Further investigation revealed no other apparent cause of pericardial effusion except for SARS-CoV-2 infection. Cardiac tamponade may complicate COVID-19 and should be included in the differential diagnosis of acute hemodynamic deterioration in mechanically ventilated COVID-19 patients.

RESUMEN

BACKGROUND: Clostridium difficile is one of the major causes of diarrhoea among critically ill patients and its prevalence increases exponentially in relation to the use of antibiotics and medical devices. We sought to investigate the incidence of C. difficile infection in Greek units, and identify potential risk factors related to C. difficile infection. METHODS: A prospective multicenter cohort analysis of critically ill patients (3 ICUs from 1/1/2014 to 31/12/2014). RESULTS: Among 970(100%) patients, 95(9.79%) with diarrhoea, were included. Their demographic, comorbidity and clinical characteristics were recorded on admission to the unit. The known predisposing factors for the infection were recorded and the diagnostic tests to confirm C. difficile were conducted, based on the current guidelines. The incidence of C. difficile infection was 1.3% (n = 13). All-cause mortality in patients with diarrhoea, C. difficile infection and attributable mortality in patients with C. difficile infection was 28%, 38.5% and 30.8% respectively. Sequential Organ Failure Assessment (SOFA) scores on admission were significantly lower and prior C. difficile infection was more common in patients with current C. difficile infection. Regarding other potential risk factors, no difference was found between groups. No factor was independently associated with C. difficile infection. CONCLUSIONS: C. difficile infection is low in Greek intensive care units, but remains a serious problem among the critically-ill. Mortality was similar to reports from other countries. No factor was independently associated with C. difficile infection.

Asunto(s)

Infecciones por Clostridium/clasificación , Evaluación de Resultado en la Atención de Salud/estadística & datos numéricos , APACHE , Anciano , Anciano de 80 o más Años , Clostridioides difficile/efectos de los fármacos , Clostridioides difficile/patogenicidad , Infecciones por Clostridium/complicaciones , Infecciones por Clostridium/epidemiología , Estudios de Cohortes , Femenino , Grecia , Humanos , Masculino , Persona de Mediana Edad , Puntuaciones en la Disfunción de Órganos , Evaluación de Resultado en la Atención de Salud/métodos , Estudios Prospectivos , Estudios Retrospectivos , Factores de Riesgo , Índice de Severidad de la Enfermedad

RESUMEN

Clostridium subterminale is a Clostridium species that has been rarely isolated in the blood of immunocompromised patients. We report a case of C. subterminale septicemia in an immunocompetent patient who presented with acute mediastinitis following spontaneous esophageal rupture.

RESUMEN

Several clinical and experimental studies have shown that lung injury occurs shortly after brain damage. The responsible mechanisms involve neurogenic pulmonary edema, inflammation, the harmful action of neurotransmitters, or autonomic system dysfunction. Mechanical ventilation, an essential component of life support in brain-damaged patients (BD), may be an additional traumatic factor to the already injured or susceptible to injury lungs of these patients thus worsening lung injury, in case that non lung protective ventilator settings are applied. Measurement of respiratory mechanics in BD patients, as well as assessment of their evolution during mechanical ventilation, may lead to preclinical lung injury detection early enough, allowing thus the selection of the appropriate ventilator settings to avoid ventilator-induced lung injury. The aim of this review is to explore the mechanical properties of the respiratory system in BD patients along with the underlying mechanisms, and to translate the evidence of animal and clinical studies into therapeutic implications regarding the mechanical ventilation of these critically ill patients.