Literature DB >> 27454379

How Can We Estimate Sepsis Incidence and Mortality?

André Luiz Nunes Gobatto1, Bruno Adler Maccagnan Pinheiro Besen, Luciano Cesar Pontes Azevedo.   

Abstract

Sepsis is one of the oldest and complex syndromes in medicine that has been in debate for over two millennia. Valid and comparable data on the population burden of sepsis constitute an essential resource for guiding health policy and resource allocation. Despite current epidemiological data suggesting that the global burden of sepsis is huge, the knowledge of its incidence, prevalence, mortality, and case-fatality rates is subject to several flaws. The objective of this narrative review is to assess how sepsis incidence and mortality can be estimated, providing examples on how it has been done so far in medical literature and discussing its possible biases. Results of recent studies suggest that sepsis incidence rates are increasing consistently during the last decades. Although estimates might be biased, this probably reflects a real increase in incidence over time. Nevertheless, case fatality rates have decreased, which is a probable reflex of advances in critical care provision to this very sick population at high risk of death. This conclusion can only be drawn with a reasonable degree of certainty for high-income countries. Conversely, adequately designed studies from middle- and low-income countries are urgently needed. In these countries, sepsis incidence and case-fatality rates could be disproportionally higher due to health care provision constraints and ineffective preventive measures.

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Year:  2017        PMID: 27454379     DOI: 10.1097/SHK.0000000000000703

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


  9 in total

1.  Epidemiology and outcome of elderly admitted to the ward for sepsis.

Authors:  A Pyrpasopoulou; P Pateinakis; A Varouktsi; E Georgianou; I Zografou; E Roilides; A Karagiannis
Journal:  Hippokratia       Date:  2016 Oct-Dec       Impact factor: 0.471

2.  The Diagnostic Values of Peptidoglycan, Lipopolysaccharide, and (1,3)-Beta-D-Glucan in Patients with Suspected Bloodstream Infection: A Single Center, Prospective Study.

Authors:  Ying Zhao; Ze-Yu Wang; Xue-Dong Zhang; Yao Wang; Wen-Hang Yang; Ying-Chun Xu
Journal:  Diagnostics (Basel)       Date:  2022-06-14

3.  Adipose-Derived Inflammatory and Coagulant Mediators in Patients With Sepsis.

Authors:  Brittany A Zwischenberger; Beverly K Balasuriya; Dwight D Harris; Nisha Nataraj; Allison M Owen; Maria E C Bruno; Sujata Mukherjee; Victor Ortiz-Soriano; William O'Connor; Chenlu Ke; Arnold J Stromberg; Phillip K Chang; Javier A Neyra; Hiroshi Saito; Marlene E Starr
Journal:  Shock       Date:  2021-05-01       Impact factor: 3.454

4.  Epidemiology of sepsis in Brazil: Incidence, lethality, costs, and other indicators for Brazilian Unified Health System hospitalizations from 2006 to 2015.

Authors:  Ricardo Alfredo Quintano Neira; Silvio Hamacher; André Miguel Japiassú
Journal:  PLoS One       Date:  2018-04-13       Impact factor: 3.240

5.  Cuminaldehyde potentiates the antimicrobial actions of ciprofloxacin against Staphylococcus aureus and Escherichia coli.

Authors:  Valério Monteiro-Neto; Cláudio D de Souza; Laoane F Gonzaga; Bruna C da Silveira; Nágila C F Sousa; Jaqueline P Pontes; Deivid M Santos; Wanessa C Martins; Jorge F V Pessoa; Alexsander R Carvalho Júnior; Viviane S S Almeida; Natália M T de Oliveira; Thayla S de Araújo; Daniele Maria-Ferreira; Saulo J F Mendes; Thiago A F Ferro; Elizabeth S Fernandes
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

6.  Identification of key miRNA‑mRNA pairs in septic mice by bioinformatics analysis.

Authors:  Jianxin Chen; Min Lin; Sen Zhang
Journal:  Mol Med Rep       Date:  2019-08-20       Impact factor: 2.952

7.  Predictive Accuracy of the Quick Sepsis-related Organ Failure Assessment Score in Brazil. A Prospective Multicenter Study.

Authors:  Flavia R Machado; Alexandre B Cavalcanti; Mariana B Monteiro; Juliana L Sousa; Aline Bossa; Antonio T Bafi; Felipe Dal-Pizzol; Flavio G R Freitas; Thiago Lisboa; Glauco A Westphal; Andre M Japiassu; Luciano C P Azevedo
Journal:  Am J Respir Crit Care Med       Date:  2020-04-01       Impact factor: 21.405

8.  A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome.

Authors:  Yao Tang; Ning Ling; Shiying Li; Juan Huang; Wenyue Zhang; An Zhang; Hong Ren; Yixuan Yang; Huaidong Hu; Xiaohao Wang
Journal:  Sci Rep       Date:  2021-10-21       Impact factor: 4.379

9.  Global trends in the awareness of sepsis: insights from search engine data between 2012 and 2017.

Authors:  Craig S Jabaley; James M Blum; Robert F Groff; Vikas N O'Reilly-Shah
Journal:  Crit Care       Date:  2018-01-17       Impact factor: 9.097

  9 in total

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