Literature DB >> 31475503

Sepsis: an overview of the signs, symptoms, diagnosis, treatment and pathophysiology.

Anne Hunt1.   

Abstract

Sepsis is a common phenomenon surrounded by uncertainty and misunderstanding. The urgency for treatment is complicated by the vagueness of signs and symptoms and lack of a conclusive diagnostic test. This article unpicks the signs and symptoms of sepsis with guidance for emergency department nurses who are responsible for assessing patients with potential sepsis. The article also relates monitoring, investigation and treatment expectations to the underlying pathophysiology and refers to the individual and global implications of the condition. ©2019 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.

Entities:  

Keywords:  bacterial infections; early warning scores; emergency care; infection; nursing care; observations; sepsis; signs and symptoms

Mesh:

Year:  2019        PMID: 31475503     DOI: 10.7748/en.2019.e1926

Source DB:  PubMed          Journal:  Emerg Nurse        ISSN: 1354-5752


  10 in total

1.  Comparison of the clinical application values of PCT, hs-CRP and SAA detection in the early diagnosis of sepsis.

Authors:  Yuan-da Sui; Wei-Na Xin; Lin-Lin Feng
Journal:  Pak J Med Sci       Date:  2020 Nov-Dec       Impact factor: 1.088

2.  Interference with miR-210 Alleviated Renal Injury in Septic Rats by Inhibiting JAK-STAT Pathway.

Authors:  Benchao Zhang; Ziye Guo; Siqi Lai; Hongjian Chen
Journal:  Inflammation       Date:  2020-12       Impact factor: 4.092

3.  G-rich sequence factor 1 serves as a prognostic biomarker in septic patients.

Authors:  Lei Qi; Yao Wu; Ming Li; Cheng Xu; Guomin Mao; Guiwen Liang; Yansong Dong; Dajun Yan; Yan Yan; Zhongwei Huang; Kai Sun; Haiyan Jiang
Journal:  Ann Transl Med       Date:  2021-04

4.  circSTRN3 aggravates sepsis-induced acute kidney injury by regulating miR-578/ toll like receptor 4 axis.

Authors:  Qiuying Gao; Yan Zheng; Hui Wang; Limin Hou; Xingxing Hu
Journal:  Bioengineered       Date:  2022-05       Impact factor: 6.832

5.  Lactate-enhanced-qSOFA (LqSOFA) score is superior to the other four rapid scoring tools in predicting in-hospital mortality rate of the sepsis patients.

Authors:  Sijia Liu; Chengqi He; Weilue He; Tian Jiang
Journal:  Ann Transl Med       Date:  2020-08

Review 6.  The Potential of Drug Delivery Nanosystems for Sepsis Treatment.

Authors:  Yi Shi; Meng-Lu Zhu; Qian Wu; Yi Huang; Xiao-Ling Xu; Wei Chen
Journal:  J Inflamm Res       Date:  2021-12-19

7.  Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.

Authors:  Yi Lv; Zhijia Huang
Journal:  Comput Math Methods Med       Date:  2022-01-31       Impact factor: 2.238

8.  Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning-Based Approach.

Authors:  Donghun Yang; Jimin Kim; Junsang Yoo; Won Chul Cha; Hyojung Paik
Journal:  JMIR Med Inform       Date:  2022-06-15

9.  Effect of procalcitonin on the severity and prognostic value of elderly patients with a severe infection of oral and maxillofacial space.

Authors:  Xin-Yan Lin; Yu-Zhao Lin; Shao-Hua Lin; Jun-Jie Lian
Journal:  Medicine (Baltimore)       Date:  2022-08-26       Impact factor: 1.817

Review 10.  The Critical Roles and Mechanisms of Immune Cell Death in Sepsis.

Authors:  Zhenxing Cheng; Simon T Abrams; Julien Toh; Susan Siyu Wang; Zhi Wang; Qian Yu; Weiping Yu; Cheng-Hock Toh; Guozheng Wang
Journal:  Front Immunol       Date:  2020-08-25       Impact factor: 7.561

  10 in total

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