↓ Skip to main content

Diagnosing sepsis is subjective and highly variable: a survey of intensivists using case vignettes

Overview of attention for article published in Critical Care, April 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
68 X users

Citations

dimensions_citation
136 Dimensions

Readers on

mendeley
186 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Diagnosing sepsis is subjective and highly variable: a survey of intensivists using case vignettes
Published in
Critical Care, April 2016
DOI 10.1186/s13054-016-1266-9
Pubmed ID
Authors

Chanu Rhee, Sameer S. Kadri, Robert L. Danner, Anthony F. Suffredini, Anthony F. Massaro, Barrett T. Kitch, Grace Lee, Michael Klompas

Abstract

Sepsis is the focus of national quality improvement programs and a recent public reporting measure from the Centers for Medicare and Medicaid Services. However, diagnosing sepsis requires interpreting nonspecific signs and can therefore be subjective. We sought to quantify interobserver variability in diagnosing sepsis. We distributed five case vignettes of patients with suspected or confirmed infection and organ dysfunction to a sample of practicing intensivists. Respondents classified cases as systemic inflammatory response syndrome, sepsis, severe sepsis, septic shock, or none of the above. Interobserver variability was calculated using Fleiss' κ for the five-level classification, and for answers dichotomized as severe sepsis/septic shock versus not-severe sepsis/septic shock and any sepsis category (sepsis, severe sepsis, or septic shock) versus not-sepsis. Ninety-four physicians completed the survey. Most respondents (88 %) identified as critical care specialists; other specialties included pulmonology (39 %), anesthesia (19 %), surgery (9 %), and emergency medicine (9 %). Respondents had been in practice for a median of 8 years, and 90 % practiced at academic hospitals. Almost all respondents (83 %) felt strongly or somewhat confident in their ability to apply the traditional consensus sepsis definitions. However, overall interrater agreement in sepsis diagnoses was poor (Fleiss' κ 0.29). When responses were dichotomized into severe sepsis/septic shock versus not-severe sepsis/septic shock or any sepsis category versus not-sepsis, agreement was still poor (Fleiss' κ 0.23 and 0.18, respectively). Seventeen percent of respondents classified one of the five cases as severe sepsis/septic shock, 27.7 % rated two cases, 33.0 % respondents rated three cases, 19.2 % rated four cases, and 3.2 % rated all five cases as severe sepsis/septic shock. Among respondents who felt strongly confident in their ability to use sepsis definitions (n = 45), agreement was no better (Fleiss' κ 0.28 for the five-category classification, and Fleiss' κ 0.21 for the dichotomized severe sepsis/septic shock classification). Cases were felt to be extremely or very realistic in 74 % of responses; only 3 % were deemed unrealistic. Diagnosing sepsis is extremely subjective and variable. Objective criteria and standardized methodology are needed to enhance consistency and comparability in sepsis research, surveillance, benchmarking, and reporting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 68 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 186 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 18%
Other 21 11%
Student > Master 19 10%
Student > Ph. D. Student 16 9%
Student > Postgraduate 15 8%
Other 39 21%
Unknown 42 23%
Readers by discipline Count As %
Medicine and Dentistry 80 43%
Nursing and Health Professions 17 9%
Computer Science 14 8%
Agricultural and Biological Sciences 5 3%
Biochemistry, Genetics and Molecular Biology 5 3%
Other 22 12%
Unknown 43 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2022.
All research outputs
#1,044,652
of 25,651,057 outputs
Outputs from Critical Care
#814
of 6,599 outputs
Outputs of similar age
#17,987
of 316,357 outputs
Outputs of similar age from Critical Care
#22
of 97 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,357 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.