Early prediction of septic shock in hospitalized patients-Reference-Cited by-同舟云学术

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Early prediction of septic shock in hospitalized patients

Published:2010-01 Issue:1 Volume:5 Page:19-25
ISSN:1553-5592
Container-title:Journal of Hospital Medicine
language:en
Short-container-title:J. Hosp. Med.

Author:

Thiel Steven W.,Rosini Jamie M.,Shannon William,Doherty Joshua A.,Micek Scott T.,Kollef Marin H.

Publisher

Wiley

Subject

Assessment and Diagnosis,Care Planning,Health Policy,Fundamentals and skills,General Medicine,Leadership and Management

Link

https://mdedge-files-live.s3.us-east-2.amazonaws.com/files/s3fs-public/pdfs/journals/530_ftp.pdf

Reference26 articles.

1. Beforeâafter study of a standardized hospital order set for the management of septic shock;Micek;Crit Care Med.,2006

2. Early goal-directed therapy in the treatment of severe sepsis and septic shock;Rivers;N Engl J Med.,2001

3. Early goal-directed therapy in severe sepsis and septic shock revisited; concepts, controversies, and contemporary findings;Otero;Chest.,2006

4. Implementing the severe sepsis care bundles outside the ICU by outreach;Carter;Nurs Crit Care.,2007

5. The impact of compliance with 6-hour and 24-hour sepsis bundles on hospital mortality in patients with severe sepsis: a prospective observational study;Gao;Crit Care.,2005

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Modified Early Warning Score (MEWS), Simplified Acute Physiology Score II (SAPS II), Sequential Organ Failure Assessment (SOFA), and Acute Physiology and Chronic Health Evaluation II (APACHE II) for early prediction of septic shock in diabetic patients in Emergency Departments;BMC Emergency Medicine;2024-09-04

2. Temporal pattern mining for knowledge discovery in the early prediction of septic shock;Pattern Recognition;2024-07

3. Interpretable Caries Development Prediction with Event Intervals;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

4. Diagnostic performance of machine-learning algorithms for sepsis prediction: An updated meta-analysis;Technology and Health Care;2024-06-22

5. GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning;IEEE Journal of Biomedical and Health Informatics;2024-01

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