Results 21 to 30 of about 119,420 (297)

Expression level of serum miR‐374a‐5p in patients with acute pancreatitis and its effect on viability, apoptosis, and inflammatory factors of pancreatic acinar cells induced by cerulein

Kaohsiung Journal of Medical Sciences, 2023
Acute pancreatitis (AP) is one of the life‐threatening diseases of the digestive system. MicroRNA has been asserted to be a regulator of AP. This paper explored the miR‐374a‐5p expression in AP patients and investigated the efficacy of AR42J cells.
Fu‐Jun Wang, Xue Mei
doaj   +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

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

2019 international consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations : summary from the basic life support; advanced life support; pediatric life support; neonatal life support; education, implementation, and teams; and first aid task forces

, 2019
The International Liaison Committee on Resuscitation has initiated a continuous review of new, peer-reviewed, published cardiopulmonary resuscitation science.
Aickin, R, Andersen, LW, Atkins, DL, Aziz, K, Bendall, J, Berg, KM, Berry, DC, Bhanji, F, Bigham, BL, Bingham, R, Borra, V, Bray, JE, Breckwoldt, J, Brooks, SC, Buick, J, Böttiger, BW, Callaway, CW, Carlson, JN, Cassan, P, Castrén, M, Chang, WT, Charlton, NP, Cheng, A, Chung, SP, Considine, J, Couper, K, Couto, TB, Dainty, KN, Dawson, JA, de Almeida, MF, de Caen, AR, Deakin, CD, Donnino, MW, Drennan, IR, Duff, JP, Epstein, JL, Escalante, R, Fran Hazinski, M, Gazmuri, RJ, Gilfoyle, E, Granfeldt, A, Greif, R, Guerguerian, AM, Guinsburg, R, Hatanaka, T, Holmberg, MJ, Hood, N, Hosono, S, Hsieh, MJ, Isayama, T, Iwami, T, Jensen, JL, Kapadia, V, Kim, HS, Kleinman, ME, Kudenchuk, PJ, Lang, E, Lavonas, E, Liley, H, Lim, SH, Lockey, A, Lofgren, B, Ma, MH, Maconochie, I, Mancini, ME, Markenson, D, Meaney, PA, Meyran, D, Mildenhall, L, Monsieurs, KG, Montgomery, W, Morley, PT, Morrison, LJ, Nadkarni, VM, Nation, K, Neumar, RW, Ng, KC, Nicholson, T, Nikolaou, N, Nishiyama, C, Nolan, JP, Nuthall, G, O'Neil, B, Ohshimo, S, Okamoto, D, Olasveengen, TM, Paiva, EF, Parr, M, Pellegrino, JL, Perkins, GD, Perlman, J, Rabi, Y, Reis, A, Reynolds, JC, Ristagno, G, Roehr, CC, Sakamoto, T, Sandroni, C, Schexnayder, SM, Scholefield, BR, Shimizu, N, Singletary, EM, Skrifvars, MB, Smyth, MA, Soar, J, Stanton, D, Swain, J, Szyld, E, Tijssen, J, Travers, A, Trevisanuto, D, Vaillancourt, C, Van de Voorde, Patrick, Velaphi, S, Wang, TL, Weiner, G, Welsford, M, Woodin, JA, Wyckoff, MH, Wyllie, JP, Yeung, J, Yong-Kwang Ong, G, Zideman, D   +122 more
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Does Telemedical Support of First Responders Improve Guideline Adherence in an Offshore Emergency Scenario? A Simulator-Based Prospective Study [PDF]

, 2019
OBJECTIVE: To investigate, in a simulator-based prospective study, whether telemedical support improves quality of emergency first response (performance) by medical non-professionals to being non-inferior to medical professionals.
Landgraf, Philipp, Lawatscheck, Robert, Luz, Maria, Schröder, Torsten, Spies, Claudia, Wernecke, Klaus-Dieter   +5 more
core   +1 more source

Gallic Acid Ameliorates Angiotensin II-Induced Atrial Fibrillation by Inhibiting Immunoproteasome- Mediated PTEN Degradation in Mice

Frontiers in Cell and Developmental Biology, 2020
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and is a major cause of stroke and heart failure. We and others have found that gallic acid (GA) plays a beneficial role in cardiac hypertrophic remodeling and hypertension.
Dan Han, Qi-Yu Zhang, Yun-Long Zhang, Xiao Han, Shu-Bin Guo, Fei Teng, Xiao Yan, Hui-Hua Li, Hui-Hua Li   +8 more
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

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

Intraosseous vascular access in critically ill adults-a review of the literature [PDF]

, 2015
Aim & objectives. This literature review aim is to present a detailed investigation critiquing contemporary practices of intraosseous vascular access in adult patients.
Garside, Joanne, Prescott, Stephen, Shaw, Susan Angela   +2 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