Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability …
Introduction A key aim of triage is to identify those with high risk of cardiac arrest, as they
require intensive monitoring, resuscitation facilities, and early intervention. We aim to …
require intensive monitoring, resuscitation facilities, and early intervention. We aim to …
A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain
Background Risk stratification models can be employed at the emergency department (ED)
to evaluate patient prognosis and guide choice of treatment. We derived and validated a …
to evaluate patient prognosis and guide choice of treatment. We derived and validated a …
Multicenter derivation and validation of an early warning score for acute respiratory failure or death in the hospital
MA Dziadzko, PJ Novotny, J Sloan, O Gajic… - Critical Care, 2018 - Springer
Background Acute respiratory failure occurs frequently in hospitalized patients and often
starts before ICU admission. A risk stratification tool to predict mortality and risk for …
starts before ICU admission. A risk stratification tool to predict mortality and risk for …
Prognostic accuracy of the Hamilton Early Warning Score (HEWS) and the National Early Warning Score 2 (NEWS2) among hospitalized patients assessed by a rapid …
Abstract Background Rapid response teams (RRTs) respond to hospitalized patients
experiencing clinical deterioration and help determine subsequent management and …
experiencing clinical deterioration and help determine subsequent management and …
Effect of an automated notification system for deteriorating ward patients on clinical outcomes
Background Delayed response to clinical deterioration of ward patients is common. Methods
We performed a prospective before-and-after study in all patients admitted to two clinical …
We performed a prospective before-and-after study in all patients admitted to two clinical …
Decision-tree model for predicting outcomes after out-of-hospital cardiac arrest in the emergency department
Y Goto, T Maeda, Y Goto - Critical Care, 2013 - Springer
Introduction Estimation of outcomes in patients after out-of-hospital cardiac arrest (OHCA)
soon after arrival at the hospital may help clinicians guide in-hospital strategies, particularly …
soon after arrival at the hospital may help clinicians guide in-hospital strategies, particularly …
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
J Johnsson, O Björnsson, P Andersson, A Jakobsson… - Critical care, 2020 - Springer
Background Pre-hospital circumstances, cardiac arrest characteristics, comorbidities and
clinical status on admission are strongly associated with outcome after out-of-hospital …
clinical status on admission are strongly associated with outcome after out-of-hospital …
A deep learning model for real-time mortality prediction in critically ill children
SY Kim, S Kim, J Cho, YS Kim, IS Sol, Y Sung, I Cho… - Critical care, 2019 - Springer
Background The rapid development in big data analytics and the data-rich environment of
intensive care units together provide unprecedented opportunities for medical …
intensive care units together provide unprecedented opportunities for medical …
External validation of the 2020 ERC/ESICM prognostication strategy algorithm after cardiac arrest
Purpose To assess the performance of the post-cardiac arrest (CA) prognostication strategy
algorithm recommended by the European Resuscitation Council (ERC) and the European …
algorithm recommended by the European Resuscitation Council (ERC) and the European …
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network …
P Andersson, J Johnsson, O Björnsson, T Cronberg… - Critical Care, 2021 - Springer
Background Prognostication of neurological outcome in patients who remain comatose after
cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain …
cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain …
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