Results 31 to 40 of about 7,663,242 (236)

The development, validation and testing of a vital signs monitoring tool for early identification of deterioration in adult surgical patients [PDF]

, 2011
Patients often exhibit premonitory abnormalities in vital signs before an adverse clinical outcome. Patient survival may depend on the decisions of nurses to call for assistance.
Kyriacos, Una
core   +1 more source

Third Revolution Digital Technology in Disaster Early Warning [PDF]

, 2015
Networking societies with electronic based technologies can change social morphology, where key social structures and activities are organized around electronically processed information networks.
De Silva, Kushani, Amaratunga, Dilanthi, Haigh, Richard   +2 more
core   +3 more sources

Physiological-Social Scores in Predicting Outcomes of Prehospital Internal Patients

Emergency Medicine International, 2014
The physiological-social modified early warning score system is a newly developed instrument for the identification of patients at risk. The aim of this study was to investigate the feasibility of using the physiological-social modified early warning ...
Abbasali Ebrahimian, Hesam Seyedin, Roohangiz Jamshidi-Orak, Gholamreza Masoumi   +3 more
doaj   +1 more source

Modified Early Warning Score Changes Prior to Cardiac Arrest in General Wards. [PDF]

PLoS ONE, 2015
The frequency, extent, time frame, and implications of changes to the modified early warning score (MEWS) in the 24 hours prior to cardiac arrest are not known.
Won Young Kim, Yu Jung Shin, Jin Mi Lee, Jin Won Huh, Younsuck Koh, Chae-Man Lim, Sang Bum Hong   +6 more
doaj   +1 more source

Modified Early Warning Score.

, 2015
Modified Early Warning Score.
Jin Won Huh (91680), Chae-Man Lim (91681), Jin Mi Lee (758586), Yu Jung Shin (758585), Younsuck Koh (91682), Sang Bum Hong (758587), Won Young Kim (493454)   +6 more
core   +1 more source

Comparative analysis of evaluation effects of NEWS and MEWS on illness severity of patients with craniocerebral injury

Huli yanjiu, 2020
[Objective]To explore differences between effects of Modified Early Warning Score(MEWS)and National Early Warning Score(NEWS)on illness severity of patients with craniocerebral injury.[Methods]A total of 461 patients with craniocerebral injury in ...
ZENG Fenlian, ZHANG Yongmei, ZHOU Ting, WU Fang, YOU Chunyue, YUAN Lili, LIU Hanmei   +6 more
doaj  

A new modified obstetric early warning score for prognostication of severe maternal morbidity

BMC Pregnancy and Childbirth, 2022
Background Maternal mortality is still a major challenge for health systems, while severe maternal complications are the primary causes of maternal death.
Yonghui Xu, Sha Zhu, Hao Song, Xiaoyuan Lian, Maoni Zeng, Ji He, Lijuan Shu, XingSheng Xue, Fei Xiao   +8 more
doaj   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 more
wiley   +1 more source

Modified early warning score (MEWS).

, 2018
Modified early warning score (MEWS).
Jong Sun Park (2816584), Yun Young Choi (5575382), Inae Song (5575391), Ho Il Yoon (2816581), Choon-Taek Lee (2816575), Youlim Kim (5575388), Young-Jae Cho (2816587), Hyunju Min (5575379), Dong Seon Lee (5575376), You Hwan Jo (4856611), Won Gun Kwack (5575373), Miae Yun (5575385), Sang Hoon Lee (211083), Jae Ho Lee (493452), Yeon Joo Lee (541858)   +14 more
core   +1 more source

A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation

Journal of Medical Internet Research, 2021
BackgroundPredicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk for ...
Bolourani, Siavash, Brenner, Max, Wang, Ping, McGinn, Thomas, Hirsch, Jamie S, Barnaby, Douglas, Zanos, Theodoros P   +6 more
doaj   +1 more source