Results 1 to 10 of about 21,388 (241)

Mechanical versus manual chest compression for out-of-hospital cardiac arrest (PARAMEDIC) : a pragmatic, cluster randomised controlled trial [PDF]

, 2014
Background: Mechanical chest compression devices have the potential to help maintain high-quality cardiopulmonary resuscitation (CPR), but despite their increasing use, little evidence exists for their effectiveness.
Cooke, MW, Deakin, Charles D., Whitfield, R, Lamb, Sarah E, Perkins, Gavin D., Gates, S, Lamb, S. E., Smyth, M, Slowther, Anne, Deakin, CD, Lamb, Sarah E., Pocock, H, Black, JJM, Wright, John, Han, K, Horton, J, Whitfield, Richard, Black, John J. M., Black, John J M, Han, Kyee, Cooke, Matthew, Gates, Simon, Lamb, Sarah, Horton, Jessica, Wright, J, Pocock, Helen, Lamb, SE, Lal, R, Williams, A, Quinn, Tom, Woollard, M, Lall, Ranjit, Paramedic trial Collaborators,, Slowther, Anne-Marie, Black, JJ, Cooke, Matthew W., Williams, Amanda, Slowther, AM, Carson, A, Perkins, GD, Smyth, Michael A., Lall, R, Carson, Andy, Cooke, Matthew W, Smyth, Mike, Black, John J.M., Woollard, Malcolm, Perkins, Gavin D, Quinn, T, Deakin, Charles D   +49 more
core   +1 more source

Hypothermia and postconditioning after cardiopulmonary resuscitation reduce cardiac dysfunction by modulating inflammation, apoptosis and remodeling

, 2009
Background: Mild therapeutic hypothermia following cardiac arrest is neuroprotective, but its effect on myocardial dysfunction that is a critical issue following resuscitation is not clear.
Meybohm, Patrick, Zitta, Karina, Matthias Gruenewald, Nguyen Tran, Grünewald, Matthias Lars, Martin Albrecht, Koch, Alexander, Karina Zitta, Lucius, Ralph, Scholz, Jens, Kai D Zacharowski, Patrick Meybohm, Bein, Berthold Helmut, Berthold Bein, Albrecht, Martin, Ralph Lucius, Jens Scholz, Alexander Koch, Zacharowski, Kai, Tran, Thi Hoai Nguyen   +19 more
core   +1 more source

Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome

BMC Pulmonary Medicine, 2023
Background Acute kidney injury (AKI) can make cases of acute respiratory distress syndrome (ARDS) more complex, and the combination of the two can significantly worsen the prognosis.
Shuxing Wei, Yongsheng Zhang, Hongmeng Dong, Ying Chen, Xiya Wang, Xiaomei Zhu, Guang Zhang, Shubin Guo   +7 more
doaj   +1 more source

Systematic review of interventions to improve appropriate use and outcomes associated with do-not-attempt-cardiopulmonary-resuscitation decisions [PDF]

, 2014
The treatment for a cardiac arrest, cardiopulmonary resuscitation (CPR), may be lifesaving following an acute, potentially reversible illness. Yet this treatment is unlikely to be effective if cardiac arrest occurs as part of the dying process towards ...
Field, Richard A., Perkins, Gavin D., Field, Richard A, Perkins, Gavin D, Fritz, Zoë, Grove, Amy, Baker, Annalie, Grove, Amy L.   +7 more
core   +1 more source

Gallic Acid Attenuates Angiotensin II-Induced Hypertension and Vascular Dysfunction by Inhibiting the Degradation of Endothelial Nitric Oxide Synthase

Frontiers in Pharmacology, 2020
Hypertension is a major cause of heart attack and stroke. Our recent study revealed that gallic acid (GA) exerts protective effects on pressure overload-induced cardiac hypertrophy and dysfunction.
Xiao Yan, Qi-Yu Zhang, Yun-Long Zhang, Xiao Han, Shu-Bin Guo, Hui-Hua Li, Hui-Hua Li   +6 more
doaj   +1 more source

Sex difference in the association between type of bystander CPR and clinical outcomes in patients with out of hospital cardiac arrest

Resuscitation Plus, 2023
Background: A recent study suggested that women with out-of-hospital cardiac arrest have a smaller survival benefit with bystander cardiopulmonary resuscitation than men.
Junyoung Kwak, Ki Ok Ahn, Paul S. Chan
doaj   +1 more source

Global, regional, and national cardiovascular disease burden attributable to smoking from 1990 to 2021: Findings from the GBD 2021 Study

Tobacco Induced Diseases
Introduction Smoking poses a serious threat to cardiovascular health. The aim of the study is to evaluate the global, regional, and national burden of smokingattributable cardiovascular disease (CVD) and set priorities for future tobacco control ...
Shuaijie Zhu, Jian Gao, Liangliang Zhang, Wanguo Dong, Wei Shi, Heng Guo, Xiaoyu Zhang, Tianfeng Hua, Min Yang   +8 more
doaj   +1 more source

Prehospital randomised assessment of a mechanical compression device in cardiac arrest (PaRAMeDIC) trial protocol [PDF]

, 2010
Background Survival after out-of-hospital cardiac arrest is closely linked to the quality of CPR, but in real life, resuscitation during pre-hospital care and ambulance transport is often suboptimal.
Matthew W Cooke, Cooke, MW, Slowther, A, Quinn, Tom, Deakin, Charles D., Lamb, Sarah E, Jessica Horton, Woollard, M, Lall, Ranjit, McCabe, Chris, Deakin, C, Perkins, Gavin D., Gates, S, Tom Quinn, Lamb, S. E., Chris McCabe, Slowther, Anne, McCabe, Christopher, Perkins, GD, Horton, J, Perkins, Gavin, Lall, R, Malcolm Woollard, Cooke, Matthew W, Anne Slowther, Woollard, Malcolm, Cooke, Matthew, Gates, Simon, Lamb, Sarah, Charles Deakin, Sarah E Lamb, Gavin D Perkins, Perkins, Gavin D, Simon Gates, Deakin, Charles, Horton, Jessica, McCabe, C, Quinn, T, Ranjit Lall, Lamb, SE   +39 more
core   +1 more source

The effective group size for teaching cardiopulmonary resuscitation skills - a randomized controlled simulation trial.

, 2021
AIM OF THE STUDY The ideal group size for effective teaching of cardiopulmonary resuscitation is currently under debate. The upper limit is reached when instructors are unable to correct participants' errors during skills practice.
Theiler, Lorenz, Huwendiek, Sören, Nabecker, Sabine, Huber, Markus, Petrowski, Katja, Greif, Robert   +5 more
core   +1 more source

Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers

European Journal of Medical Research
Background This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the risk of in-hospital mortality in critically ill patients suffering from sepsis. Methods
Guyu Zhang, Fei Shao, Wei Yuan, Junyuan Wu, Xuan Qi, Jie Gao, Rui Shao, Ziren Tang, Tao Wang   +8 more
doaj   +1 more source