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 …
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 …
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 …
Early prognostication of neurological outcome by heart rate variability in adult patients with out-of-hospital sudden cardiac arrest
H Endoh, N Kamimura, H Honda, M Nitta - Critical Care, 2019 - Springer
Background Most deaths of comatose survivors of out-of-hospital sudden cardiac arrest
result from withdrawal of life-sustaining treatment (WLST) decisions based on poor …
result from withdrawal of life-sustaining treatment (WLST) decisions based on poor …
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 …
Arterial pressure-based cardiac output in septic patients: different accuracy of pulse contour and uncalibrated pressure waveform devices
Introduction We compared the ability of two devices estimating cardiac output from arterial
pressure-curve analysis to track the changes in cardiac output measured with …
pressure-curve analysis to track the changes in cardiac output measured with …
Machine learning for the real-time assessment of left ventricular ejection fraction in critically ill patients: a bedside evaluation by novices and experts in …
R Varudo, FA Gonzalez, J Leote, C Martins, J Bacariza… - Critical Care, 2022 - Springer
Background Machine learning algorithms have recently been developed to enable the
automatic and real-time echocardiographic assessment of left ventricular ejection fraction …
automatic and real-time echocardiographic assessment of left ventricular ejection fraction …
Severity scores for status epilepticus in the ICU: systemic illness also matters
F Yuan, C Damien, N Gaspard - Critical Care, 2023 - Springer
Background Current prognostic scores for status epilepticus (SE) may not be adequate for
patients in ICU who usually have more severe systemic conditions or more refractory …
patients in ICU who usually have more severe systemic conditions or more refractory …
Pre-admission functional status impacts the performance of the APACHE IV model of mortality prediction in critically ill patients
JS Krinsley, T Wasser, G Kang, SM Bagshaw - Critical Care, 2017 - Springer
Background Functional status (FS) before intensive care unit (ICU) admission is associated
with short-term and long-term outcomes among critically ill patients. However, measures of …
with short-term and long-term outcomes among critically ill patients. However, measures of …
Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population
A Aronsson Dannewitz, B Svennblad, K Michaëlsson… - Critical Care, 2022 - Springer
Background We aimed to optimize prediction of long-term all-cause mortality of intensive
care unit (ICU) patients, using quantitative register-based comorbidity information assessed …
care unit (ICU) patients, using quantitative register-based comorbidity information assessed …