Literature DB >> 28301336

Sepsis in Obstetrics: Clinical Features and Early Warning Tools.

Sheryl E Parfitt1, Mary L Bogat, Sandra L Hering, Charlotte Ottley, Cheryl Roth.   

Abstract

Morbidity and mortality associated with sepsis has gained widespread attention on a local, state, and national level, yet, it remains a complicated disorder that can be difficult to identify in a timely manner. Sepsis in obstetric patients further complicates the diagnosis as alterations in physiology related to pregnancy can mask sepsis indicators normally seen in the general population. If early signs of sepsis go unrecognized, septic shock can develop, leading to organ dysfunction and potential death. Maternal early warning tools have been designed to assist clinicians in recognizing early indications of illness. Through use of clinical pathway-specific tools, disease processes may be detected early, subsequently benefitting patients with aggressive treatment management and intervention.This article is the second in a series of three that discuss the importance of sepsis and septic shock in pregnancy. Risk factors, causes of sepsis, signs and symptoms, and maternal early warning tools are discussed.

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Mesh:

Year:  2017        PMID: 28301336     DOI: 10.1097/NMC.0000000000000340

Source DB:  PubMed          Journal:  MCN Am J Matern Child Nurs        ISSN: 0361-929X            Impact factor:   1.412


  3 in total

1.  Advances in anesthesia technology are improving patient care, but many challenges remain.

Authors:  D John Doyle; Ashraf A Dahaba; Yannick LeManach
Journal:  BMC Anesthesiol       Date:  2018-04-13       Impact factor: 2.217

2.  Analysis of risk factors, pathogenic bacteria of maternal sepsis in term pregnant women with positive blood culture during hospitalization.

Authors:  Yanqing Wen; Hong Chen; Xin Ming; Xiaoyan Chen; Wei Zhou
Journal:  Medicine (Baltimore)       Date:  2021-02-19       Impact factor: 1.817

3.  On prioritising global health's triple crisis of sepsis, COVID-19 and antimicrobial resistance: a mixed-methods study from Malawi.

Authors:  Paul Kawale; Levi Kalitsilo; Jessie Mphande; Bayode Romeo Adegbite; Martin P Grobusch; Shevin T Jacob; Jamie Rylance; Nyovani J Madise
Journal:  BMC Health Serv Res       Date:  2022-05-07       Impact factor: 2.908

  3 in total

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