Incidences of community onset severe sepsis, Sepsis-3 sepsis, and bacteremia in Sweden – A prospective population-based study

Ljungström, Lars; Andersson, Rune; Jacobsson, Gunnar

doi:10.1371/journal.pone.0225700

Cited by 28 publications

(35 citation statements)

References 30 publications

(38 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blood culture was used to support sepsis diagnosis in only 13 cases and the remaining cases, it was used to screen for sepsis in other illnesses, mainly respiratory tract infections ( Figure 1 ). Respiratory tract infection has been reported to be the most common site of infection leading to sepsis in other regions [ 22 – 24 ] but it was not in this community, which might be a result of differences in regional and community health factors. Bacteremia was infrequently detected in these cases, but it was notably detected in cases of some local infections, cancers, and chronic hepatobiliary disease ( Figure 1 ).…”

Section: Discussionmentioning

confidence: 91%

Clinical Utilization of Blood and Urine Cultures and Incidences of Bacteremia and Bacteriuria in a Hospital in Thailand

Lekskulchai

2020

Med Sci Monit Basic Res

View full text Add to dashboard Cite

Background: To effectively treat sepsis and urinary tract infection (UTI), blood and urine cultures should be used appropriately and relative to incidences of bacteremia and bacteriuria. This study aimed to investigate the use of blood and urine cultures and incidences of bacteremia and bacteriuria in a hospital in Thailand. Material/Methods: Medical records of patients admitted from 2016 to 2018 were randomly selected and data in the records were anonymously extracted for investigation. Results: From 12 000 records, data on blood and urine cultures were extracted from 9% and 4% of them, respectively. The negative rate of blood culture was 87.48%. Bacteremia was detected in 10.22%. The positive rate of urine culture was 27.38% and the contamination rate was 31.26%. Escherichia coli was the most common cause of community-onset bacteremia and bacteriuria. Methicillin-resistant coagulase-negative staphylococci and Acinetobacter baumannii were the most common cause of hospital-acquired bacteremia while yeasts were the most common cause of hospital-acquired UTI. Conclusions: A high negative rate of blood culture may result not only from its low sensitivity but also from liberal test use to identify sepsis in some conditions. Improper urine collection is the main problem with use of urine culture.

show abstract

Section: Discussionmentioning

confidence: 91%

Clinical Utilization of Blood and Urine Cultures and Incidences of Bacteremia and Bacteriuria in a Hospital in Thailand

Lekskulchai

2020

Med Sci Monit Basic Res

View full text Add to dashboard Cite

show abstract

“…These higher frequencies of sepsis diagnoses were observed although sepsis-1/2 criteria for ‘simple’ sepsis [ 10 , 11 ], not ‘severe sepsis’, were applied. Considering that sepsis-3 sought to require the presence of organ dysfunction and was thought to replace the former ‘severe sepsis’ [ 2 ], the increase in sepsis diagnoses according to SOFA≥2 contradicts expectations [ 18 , 19 , 40 – 43 ], reinforcing the question whether SOFA along with the threshold of 2 was an adequate operationalization of organ dysfunction [ 21 , 31 , 44 – 46 ]. This is of special interest, as the importance of considering patients’ severity of illness when deciding about the breadth of antibiotics has been highlighted [ 47 , 48 ] and studies document that patients with less severe disease suffer from negative consequences of antibiotic overuse [ 8 , 47 , 49 , 50 ].…”

Section: Discussionmentioning

confidence: 99%

Impact of different consensus definition criteria on sepsis diagnosis in a cohort of critically ill patients—Insights from a new mathematical probabilistic approach to mortality-based validation of sepsis criteria

et al. 2020

View full text Add to dashboard Cite

Background Sepsis-3 definition uses SOFA score to discriminate sepsis from uncomplicated infection, replacing SIRS criteria that were criticized for being inaccurate. Eligibility of sepsis-3 criteria for sepsis diagnosis and the applied validation methodology using mortality as endpoint are topic of ongoing debate. We assessed the impact of different criteria on sepsis diagnosis in our ICU and devised a mathematical approach for mortality-based validation of sepsis criteria. As infectious status is often unclear at clinical deterioration, we integrated non-infected patients into analysis. Methods Suspected infection, SOFA and SIRS were captured for an ICU cohort of a university center over one year. For raw scores (SIRS/SOFA) and sepsis criteria (SIRS�2/SOFA�2/ SOFA_change�2) frequencies and associations with in-hospital mortality were assessed. Using a mathematical approach, we estimated the correlation between sepsis and in-hospital mortality serving as reference for evaluation of observed mortality correlations of sepsis criteria. Results Of 791 patients, 369 (47%) were infected and 422 (53%) non-infected, with an in-hospital mortality of 39% and 15%. SIRS�2 indicated sepsis in 90% of infected patients, SOFA�2 in 99% and SOFA_change�2 in 77%. In non-infected patients, SIRS, SOFA and SOFA_ change were �2 in 78%, 88% and 58%. In AUROC analyses neither SOFA nor SIRS

show abstract

“…Total nationwide US cost of treating these patients was estimated to $14.6 billion in 2008 [5]. Using the new definition, the annual incidence of sepsis in Sweden was estimated to 838/100,000, which is 3-fold higher than that of severe sepsis [8]. The case fatality rate for sepsis is at least 10% and for septic shock at least 40% [3,9].…”

Section: Introductionmentioning

confidence: 99%

Early detection of sepsis using artificial intelligence: a scoping review protocol

et al. 2021

Self Cite

View full text Add to dashboard Cite

Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk prediction decision support systems based on artificial intelligence. Methods The overall aim of this scoping review is to summarize the literature on existing methods for early detection of sepsis using artificial intelligence. The review will be performed using the framework formulated by Arksey and O’Malley and further developed by Levac and colleagues. To identify primary studies and reviews that are suitable to answer our research questions, a comprehensive literature collection will be compiled by searching several sources. Constrictions regarding time and language will have to be implemented. Therefore, only studies published between 1 January 1990 and 31 December 2020 will be taken into consideration, and foreign language publications will not be considered, i.e., only papers with full text in English will be included. Databases/web search engines that will be used are PubMed, Web of Science Platform, Scopus, IEEE Xplore, Google Scholar, Cochrane Library, and ACM Digital Library. Furthermore, clinical studies that have completed patient recruitment and reported results found in the database ClinicalTrials.gov will be considered. The term artificial intelligence is viewed broadly, and a wide range of machine learning and mathematical models suitable as base for decision support will be evaluated. Two members of the team will test the framework on a sample of included studies to ensure that the coding framework is suitable and can be consistently applied. Analysis of collected data will provide a descriptive summary and thematic analysis. The reported results will convey knowledge about the state of current research and innovation for using artificial intelligence to detect sepsis in early phases of the medical care chain. Ethics and dissemination The methodology used here is based on the use of publicly available information and does not need ethical approval. It aims at aiding further research towards digital solutions for disease detection and health innovation. Results will be extracted into a review report for submission to a peer-reviewed scientific journal. Results will be shared with relevant local and national authorities and disseminated in additional appropriate formats such as conferences, lectures, and press releases.

show abstract

Incidences of community onset severe sepsis, Sepsis-3 sepsis, and bacteremia in Sweden – A prospective population-based study

Cited by 28 publications

References 30 publications

Clinical Utilization of Blood and Urine Cultures and Incidences of Bacteremia and Bacteriuria in a Hospital in Thailand

Clinical Utilization of Blood and Urine Cultures and Incidences of Bacteremia and Bacteriuria in a Hospital in Thailand

Impact of different consensus definition criteria on sepsis diagnosis in a cohort of critically ill patients—Insights from a new mathematical probabilistic approach to mortality-based validation of sepsis criteria

Early detection of sepsis using artificial intelligence: a scoping review protocol

Contact Info

Product

Resources

About