Articles: intensive-care-units.
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Chest radiographs are routinely performed in intensive care unit (ICU) to confirm the correct position of an endotracheal tube (ETT) relative to the carina. However, their interpretation is often challenging and requires substantial time and expertise. The aim of this study was to propose an externally validated deep learning model with uncertainty quantification and image segmentation for the automated assessment of ETT placement on ICU chest radiographs. ⋯ The CarinaNet model is an efficient and generalizable deep learning algorithm for the automated assessment of ETT placement on ICU chest radiographs. Uncertainty quantification can bring the attention of intensivists to chest radiographs that require an experienced human interpretation. Image segmentation provides intensivists with chest radiographs that are quickly interpretable and allows them to immediately assess the validity of model predictions. The CarinaNet model is ready to be evaluated in clinical studies.
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The global mortality rate of patients with MV is very high, despite a significant variation worldwide. Previous studies conducted in Sub-Saharan Africa among ICU patients focused on the pattern of admission and the incidence of mortality. However, the body of evidence on the clinical outcomes among patients with MV is still uncertain. ⋯ The higher 28-day mortality among ICU patients on mechanical ventilation in our study might be attributed to factors such as delayed patient presentation, lack of resources, insufficient healthcare infrastructure, lack of trained staff, and financial constraints.
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Background and objectives: Patients admitted to the intensive care unit (ICU) have an increased risk of hospital-acquired infection (HAI). A diagnosis of cancer alone increases the risk of sepsis three-five-fold, which further increases the risk of nosocomial infection, subsequently deteriorates results, and leads to high mortality. In this study, we aimed to assess the mortality rate among hematologic oncologic patients with suspected infection who were subsequently admitted to the ICU and the predictive factors that are associated with high ICU mortality. ⋯ Conclusions: The overall ICU mortality in patients with hematologic malignancies was 66%. Sepsis had the highest hazard ratio among all other predictive factors, as patients with sepsis had higher mortality rates than those who had febrile neutropenia. Chronic hepatitis (HBV and HCV) was significantly associated with higher ICU mortality.
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To guarantee the safety of the public, clinicians and patients during the COVID-19 pandemic, hospital visits were severely restricted internationally. There are limited data on the precise impact of these visiting restrictions on Intensive Care Unit clinicians. Our objectives therefore were to explore the impact of family visitation restrictions on clinicians and care delivery and describe innovation alongside areas for potential improvement. ⋯ The impact of COVID-19 family visitation restrictions is far reaching. Future research should examine the wider impact of family presence in the ICU.
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Herpes simplex virus type1 (HSV-1) reactivation have been described in patients with invasive mechanical ventilation and recently in patients with acute respiratory distress syndrome (ARDS) secondary to COVID-19 with higher rates of reactivation than were detected previously in critical care, and although the diagnosis of HSV-1 pneumonia is not easy, its presence is associate with an increase in morbidity and mortality. The objective of this study is to determinate if the identification of HSV-1 in lower airway of patients with ARDS secondary to COVID-19 have influence in clinical outcome and mortality. ⋯ Our results suggest that ARDS secondary to SARS-CoV-2 pneumonia is highly associated to HSV-1 reactivation and that the finding of HSV-1 in lower airway is associated with a worst prognostic and with significantly mortality increase. It is necessary to carry out more extensive studies to determinate if treatment with acyclovir can improve the prognosis of these patients.