Results 11 to 20 of about 677,579 (283)

Host genetics predict clinical deterioration in HCV-related cirrhosis. [PDF]

PLoS ONE, 2014
Single nucleotide polymorphisms (SNPs) in the epidermal growth factor (EGF, rs4444903), patatin-like phospholipase domain-containing protein 3 (PNPLA3, rs738409) genes, and near the interleukin-28B (IL28B, rs12979860) gene are linked to treatment ...
Lindsay Y King, Kara B Johnson, Hui Zheng, Lan Wei, Thomas Gudewicz, Yujin Hoshida, Kathleen E Corey, Tokunbo Ajayi, Nneka Ufere, Thomas F Baumert, Andrew T Chan, Kenneth K Tanabe, Bryan C Fuchs, Raymond T Chung   +13 more
doaj   +12 more sources

Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration

PLoS ONE, 2022
Importance When hospitals are at capacity, accurate deterioration indices could help identify low-risk patients as potential candidates for home care programs and alleviate hospital strain.
Emily Mu, Sarah Jabbour, Adrian V. Dalca, John Guttag, Jenna Wiens, Michael W. Sjoding   +5 more
doaj   +5 more sources

Early Clinical Deterioration Risk Assessment in Inpatient Units of a Public University Hospital [PDF]

Iranian Journal of Nursing and Midwifery Research
Background: Clinical deterioration occurs due to changes in vital signs, which can be identified early to prevent negative outcomes. We used the NEWS2 system to assess the potential for early clinical deterioration in adult inpatient units at a public ...
Mariana de Souza Esteves, Laura B. de Araujo Lourenço, Mariana de Jesus Meszaros, Michele de Freitas Neves Silva, Thais São-João   +4 more
doaj   +2 more sources

Simplified computed tomography pulmonary angiography score predicts clinical deterioration in patients with acute pulmonary embolism [PDF]

International Journal of Cardiology: Heart & Vasculature
Background: Currently, simplified methods based on computed tomography pulmonary angiography (CTPA) to predict clinical deterioration in patients with acute pulmonary embolism (PE) are lacking.
Jian-Kuan Yeh, Po-Wei Chen, Wei-Ting Chang, Pin-Hsuan Chiu, Pei-Fang Su, Chih-Hsin Hsu, Chih-Chan Lin, Hsien-Yuan Chang   +7 more
doaj   +2 more sources

Association of initial national early warning score with clinical deterioration in pulmonary embolism [PDF]

Thrombosis Journal
Background The National Early Warning Score (NEWS2) predicts clinical deterioration in hospitalized patients. Its role in pulmonary embolism (PE) risk stratification remains underexplored.
Anthony J. Weekes, Fernanda Calienescerpa, Kelly L. Goonan, Alexa L. Polzella, Melanie M. Hogg, Dalton Cox, Sean Flannigan, Emma Cruz, Halie A. O’Neill, Nathaniel S. O’Connell, Daniel R. Troha   +10 more
doaj   +2 more sources

Intermediate-risk pulmonary embolism: echocardiography predictors of clinical deterioration

Critical Care, 2022
Background We determine the predictive value of transthoracic echocardiographic (TTE) metrics for clinical deterioration within 5 days in adults with intermediate-risk pulmonary embolism (PE).
Anthony J. Weekes, Denise N. Fraga, Vitaliy Belyshev, William Bost, Christopher A. Gardner, Nathaniel S. O’Connell   +5 more
doaj   +3 more sources

AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis [PDF]

BMC Medical Informatics and Decision Making
Background Clinical deterioration is often preceded by subtle physiological changes that, if unheeded, can lead to adverse patient outcomes. The precision of traditional scoring systems in detecting these precursors has limitations, prompting the ...
Shixin Yuan, Zihuan Yang, Junjie Li, Changde Wu, Songqiao Liu   +4 more
doaj   +2 more sources

Rapid Response System Based on Graph Attention Network for Predicting In-Hospital Clinical Deterioration

IEEE Access, 2023
In-hospital clinical deterioration is a major worldwide healthcare burden in the intensive care units (ICUs), as it requires rapid intervention.
Thanh-Cong Do, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim, Bo-Gun Kho   +4 more
doaj   +1 more source

Artificial intelligence and clinical deterioration

Current Opinion in Critical Care, 2022
Purpose of review To provide an overview of the systems being used to identify and predict clinical deterioration in hospitalised patients, with focus on the current and future role of artificial intelligence (AI). Recent findings There are five leading AI driven systems in this ...
Malycha, J, Bacchi, S, Redfern, O
openaire   +2 more sources

Risk factors and predicting nomogram for the clinical deterioration of non-severe community-acquired pneumonia [PDF]

BMC Pulmonary Medicine
Background Currently, there remains insufficient focus on non-severe community-acquired pneumonia (CAP) patients who are at risk of clinical deterioration, and there is also a dearth of research on the related risk factors.
Cheng-bin Xu, Shan-shan Su, Jia Yu, Xiong Lei, Peng-cheng Lin, Qing Wu, Ying Zhou, Yu-ping Li   +7 more
doaj   +2 more sources