Comparison of an automatic analysis and a manual analysis of conjunctival microcirculation in a sheep model of haemorrhagic shock [PDF]
Life-threatening diseases of critically ill patients are known to derange microcirculation. Automatic analysis of microcirculation would provide a bedside diagnostic tool for microcirculatory disorders and allow immediate therapeutic decisions based upon
Arnemann, Philip-Helge+7 more
core +1 more source
Antifungal prophylaxis in critically ill patients [PDF]
We congratulate van Till and colleagues on their review showing that selective decontamination of the digestive tract (SDD) is more effective than single-drug prophylaxis (SAP) in reducing yeast colonisation, infection and mortality [1].
de la Cal, Miguel A+6 more
core +3 more sources
Safe and Interpretable Estimation of Optimal Treatment Regimes [PDF]
Recent statistical and reinforcement learning methods have significantly advanced patient care strategies. However, these approaches face substantial challenges in high-stakes contexts, including missing data, inherent stochasticity, and the critical requirements for interpretability and patient safety. Our work operationalizes a safe and interpretable
arxiv
Hyponatremia in critically ill patients
Hyponatremia is a common electrolyte disturbance in critically ill hence understanding its implications is important.This study was carried out to ascertain frequency, predisposing conditions and outcome in critically ill patients with hyponatremia on intensive care unit (ICU) admission.This was an observational, prospective study of a series of ICU ...
Snehalata Jagati+3 more
openaire +4 more sources
Impact on the work of clinical pharmacist at the pharmacotherapy management of critically ill patient: Local experience in a clinical hospital [PDF]
Context: The complexity in critical patient management and polypharmacy, raise the need for support from a clinical pharmacist to optimize drug therapies.
Jorge S. Amador+3 more
doaj
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients [PDF]
Fever can provide valuable information for diagnosis and prognosis of various diseases such as pneumonia, dengue, sepsis, etc., therefore, predicting fever early can help in the effectiveness of treatment options and expediting the treatment process. This study aims to develop novel algorithms that can accurately predict fever onset in critically ill ...
arxiv
Critically ill obstetric patients [PDF]
Background: Objectives: To review all obstetric patients admitted in Intensive Care Unit (ICU) to access ethiology, required interventions, maternal mortality and to identify the conditions associated with maternal death.Methods: This is a retrospective ...
Bendre, Kirti Rajesh+2 more
core +1 more source
Background With an increasing number of critically ill patients, attention should be paid to both their physical health and mental health. The objective of this study is to examine the links between depression and social capital among critically ill ...
Yaru Zhang+3 more
doaj +1 more source
Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care [PDF]
Patients with severe Coronavirus disease 19 (COVID-19) typically require supplemental oxygen as an essential treatment. We developed a machine learning algorithm, based on a deep Reinforcement Learning (RL), for continuous management of oxygen flow rate for critical ill patients under intensive care, which can identify the optimal personalized oxygen ...
arxiv
COVID-19 is associated with distinct myopathic features in the diaphragm of critically ill patients
Introduction The diaphragm is the main muscle of inspiration, and its dysfunction contributes to adverse clinical outcomes in critically ill patients. We recently reported the infiltration of SARS-CoV-2, and the development of fibrosis, in the diaphragm ...
Zhonghua Shi+12 more
doaj +1 more source