Results 81 to 90 of about 106,044 (253)

Optimal cardiopulmonary resuscitation duration for favorable neurological outcomes after out-of-hospital cardiac arrest

open access: yesScandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2022
Background A favorable neurological outcome is closely related to patient characteristics and total cardiopulmonary resuscitation (CPR) duration. The total CPR duration consists of pre-hospital and in-hospital durations.
SungJoon Park   +8 more
doaj   +1 more source

In-Hospital Cardiac Arrest: A Review

open access: yesJournal of the American Medical Association (JAMA), 2019
Importance In-hospital cardiac arrest is common and associated with a high mortality rate. Despite this, in-hospital cardiac arrest has received little attention compared with other high-risk cardiovascular conditions, such as stroke, myocardial ...
L. Andersen   +4 more
semanticscholar   +1 more source

Prediction of cognitive dysfunction after resuscitation – a systematic review

open access: yesAdvances in Interventional Cardiology, 2018
Cardiac arrest (CA) due to cardiovascular disease is the leading cause of death in developed countries. It is estimated that over 350,000 people in Europe suffer from out-of-hospital cardiac arrest. According to the literature, the longer the episode of  
Wioletta A. Mędrzycka-Dąbrowska   +3 more
doaj   +1 more source

iRescU - Data for Social Good Saving Lives Bridging the Gaps in Sudden Cardiac Arrest Survival [PDF]

open access: yesarXiv, 2016
Currently every day in the USA 1000 people die of sudden cardiac arrest (SCA) outside of hospitals or ambulances - before emergency medical help arrives - in the streets, workplaces, schools and homes of our cities, adults and children. Brain death commences in 3 minutes, and often the ambulance just can't be there in time.
arxiv  

Effect of a Strategy of a Supraglottic Airway Device vs Tracheal Intubation During Out-of-Hospital Cardiac Arrest on Functional Outcome: The AIRWAYS-2 Randomized Clinical Trial

open access: yesJournal of the American Medical Association (JAMA), 2018
Importance The optimal approach to airway management during out-of-hospital cardiac arrest is unknown. Objective To determine whether a supraglottic airway device (SGA) is superior to tracheal intubation (TI) as the initial advanced airway management ...
J. Benger   +17 more
semanticscholar   +1 more source

Etiology of out-of-hospital cardiac arrest diagnosed via detailed examinations including perimortem computed tomography

open access: yesJournal of Emergencies, Trauma and Shock, 2013
Context: The spectrum of the etiology of out-of-hospital cardiopulmonary arrest (OHCPA) has not been established. We have performed perimortem computed tomography (CT) during cardiopulmonary resuscitation.
Yoshihiro Moriwaki   +3 more
doaj   +1 more source

The association of brainstem and motor recovery with awakening after out-of-hospital cardiac arrest

open access: yesResuscitation Plus, 2022
Background: Coma is common following resuscitation from cardiac arrest. Few data describe the trajectory of recovery the first days following resuscitation.
Alessandra I Cardi   +6 more
doaj  

A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients [PDF]

open access: yesJ. Am. Med. Inform. Assoc. (2024) ocae316
Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE ...
arxiv   +1 more source

A Woman with Out-of-hospital Cardiac Arrest [PDF]

open access: yesAnnals of Emergency Medicine, 2021
Yu-Chen Chiu   +7 more
openaire   +2 more sources

A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records [PDF]

open access: yesarXiv, 2016
Rare diseases are very difficult to identify among large number of other possible diagnoses. Better availability of patient data and improvement in machine learning algorithms empower us to tackle this problem computationally. In this paper, we target one such rare disease - cardiac amyloidosis.
arxiv  

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