Sort   by:  
 Page size 
UnknownThe Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients.

Background

The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance our understanding of the course of the disease and investigate potential treatment strategies. In this study, we present the...
S-EPMC8381710 | biostudies-literature
UnknownPredictors for extubation failure in COVID-19 patients using a machine learning approach.

Introduction

Determining the optimal timing for extubation can be challenging in the intensive care. In this study, we aim to identify predictors for extubation failure in critically ill patients with COVID-19.

Methods

We used highly granular data from 3464 adult critically ill COVID ...
S-EPMC8711075 | biostudies-literature
UnknownSome Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome.

Objectives

As coronavirus disease 2019 is a novel disease, treatment strategies continue to be debated. This provides the intensive care community with a unique opportunity as the population of coronavirus disease 2019 patients requiring invasive mechanical ventilation is relatively homogene...
S-EPMC8522869 | biostudies-literature
UnknownRisk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.

Background

The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for prognostication, determining treatment intensity, and resource allocation. Previous studies have determined risk factors on admission only, an...
S-EPMC8236316 | biostudies-literature
UnknownLung Microbiota of Critically Ill Patients with COVID-19 Are Associated with Nonresolving Acute Respiratory Distress Syndrome.
Rationale: Bacterial lung microbiota are correlated with lung inflammation and acute respiratory distress syndrome (ARDS) and altered in severe coronavirus disease (COVID-19). However, the association between lung microbiota (including fungi) and resolution of ARDS in COVID-19 remains unclear...
S-EPMC9799265 | biostudies-literature
UnknownEarly mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study.

Background

Early mobilisation (EM) is an intervention that may improve the outcome of critically ill patients. There is limited data on EM in COVID-19 patients and its use during the first pandemic wave.

Methods

This is a pre-planned subanalysis of the ESICM UNITE-COVID, an internatio...
S-EPMC10645963 | biostudies-literature
UnknownLarge-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse.
Not available
S-EPMC7887418 | biostudies-literature
UnknownPredicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.

Background

For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefore, identifying which critically ill intubated COVID-1...
S-EPMC9583049 | biostudies-literature
UnknownProlonged indoleamine 2,3-dioxygenase-2 activity and associated cellular stress in post-acute sequelae of SARS-CoV-2 infection.

Background

Post-acute sequela of SARS-CoV-2 infection (PASC) encompass fatigue, post-exertional malaise and cognitive problems. The abundant expression of the tryptophan-catabolizing enzyme indoleamine 2,3-dioxygenase-2 (IDO2) in fatal/severe COVID-19, led us to determine, in an exploratory ...
S-EPMC10406961 | biostudies-literature
UnknownClinical and organizational factors associated with mortality during the peak of first COVID-19 wave: the global UNITE-COVID study.

Purpose

To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously used for critical care was necessary. We describe the global burden ...
S-EPMC9123859 | biostudies-literature
Sort   by:  
 Page size