Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021

L Evans, A Rhodes, W Alhazzani, M Antonelli… - Critical care …, 2021 - journals.lww.com
Sepsis is life-threatening organ dysfunction caused by a dysregulated host response to
infection (1). Sepsis and septic shock are major healthcare problems, impacting millions of …

Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review

N Hassan, R Slight, D Weiand, A Vellinga… - International journal of …, 2021 - Elsevier
Background and objectives Sepsis is a life-threatening condition that is associated with
increased mortality. Artificial intelligence tools can inform clinical decision making by …

Detection of hidden antibiotic resistance through real-time genomics

E Sauerborn, NC Corredor, T Reska, A Perlas… - Nature …, 2024 - nature.com
Real-time genomics through nanopore sequencing holds the promise of fast antibiotic
resistance prediction directly in the clinical setting. However, concerns about the accuracy of …

[HTML][HTML] Rapid next-generation sequencing–based diagnostics of bacteremia in septic patients

C Grumaz, A Hoffmann, Y Vainshtein, M Kopp… - The Journal of Molecular …, 2020 - Elsevier
The increasing incidence of bloodstream infections including sepsis is a major challenge in
intensive care units worldwide. However, current diagnostics for pathogen identification …

Effectiveness of automated alerting system compared to usual care for the management of sepsis

Z Zhang, L Chen, P Xu, Q Wang, J Zhang, K Chen… - NPJ Digital …, 2022 - nature.com
There is a large body of evidence showing that delayed initiation of sepsis bundle is
associated with adverse clinical outcomes in patients with sepsis. However, it is …

Early diagnosis of Sepsis: the role of biomarkers and Rapid Microbiological tests

EP Plata-Menchaca… - … in Respiratory and …, 2024 - thieme-connect.com
Sepsis is a medical emergency resulting from a dysregulated response to an infection,
causing preventable deaths and a high burden of morbidity. Protocolized and accurate …

A new effective machine learning framework for sepsis diagnosis

X Wang, Z Wang, J Weng, C Wen, H Chen… - IEEE access, 2018 - ieeexplore.ieee.org
There is a lack of early specific diagnosis and effective evaluation of sepsis, and the clinical
treatment is not timely. As a result, the mortality is high, which seriously threatens the health …

Implementation of the Surviving Sepsis Campaign one-hour bundle in a short stay unit: A quality improvement project

L Gripp, M Raffoul, KA Milner - Intensive and Critical Care Nursing, 2021 - Elsevier
Objective To improve timely sepsis care by implementing the 2018 Surviving Sepsis
Campaign one-hour interventions. Design Ten-month prospective quality improvement …

[PDF][PDF] 血清降钙素原水平和APACHEⅡ 评分对老年脓毒症患者预后的预测价值分析

刘慧琳, 傅义程, 郝靖欣, 张福春, 刘桂花 - 中华危重病急救医学, 2023 - cccm-em120.com
目的评价降钙素原(PCT) 及急性生理学与慢性健康状况评分Ⅱ (APACHEⅡ)
对老年脓毒症患者预后的预测价值. 方法采用回顾性队列研究方法, 选择2020 年3 月至2021 年6 …

Machine learning-based modeling of acute respiratory failure following emergency general surgery operations

J Hadaya, A Verma, Y Sanaiha, R Ramezani, N Qadir… - PloS one, 2022 - journals.plos.org
Background Emergency general surgery (EGS) operations are associated with substantial
risk of morbidity including postoperative respiratory failure (PRF). While existing risk models …