Evidence map›Paper›PMID 33857126›Full record

ArticlePloS one2021

Development and validation of a cellular host response test as an early diagnostic for sepsis.

Lionel Guillou, Roya Sheybani, Anne E Jensen, Dino Di Carlo, Terrell S Caffery, Christopher B Thomas, Ajay M Shah, Henry T K Tse, Hollis R O'Neal

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Rapid deformability cytometry for tissue biopsies.Nature biomedical engineering · 2023
    Article
  12. Article
  13. Article
  14. Rapid identification of sepsis in the emergency department.Journal of the American College of Emergency Physicians open · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lionel GuillouCytovale, Inc., San Francisco, California, United States of America.
Roya SheybaniCytovale, Inc., San Francisco, California, United States of America.
Anne E JensenCytovale, Inc., San Francisco, California, United States of America.
Dino Di CarloCytovale, Inc., San Francisco, California, United States of America.
Terrell S CafferyLouisiana State University Health Sciences Center, Baton Rouge, Louisiana, United States of America.
Christopher B ThomasLouisiana State University Health Sciences Center, Baton Rouge, Louisiana, United States of America.
Ajay M ShahCytovale, Inc., San Francisco, California, United States of America.
Henry T K TseCytovale, Inc., San Francisco, California, United States of America.ORCID 0000-0002-0542-2312
Hollis R O'NealLouisiana State University Health Sciences Center, Baton Rouge, Louisiana, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis must be diagnosed quickly to avoid morbidity and mortality. However, the clinical manifestations of sepsis are highly variable and emergency department (ED) clinicians often must make rapid, impactful decisions before laboratory results are known. We previously developed a technique that allows the measurement of the biophysical properties of white blood cells as they are stretched through a microfluidic channel. In this study we describe and validate the resultant output as a model and score-the IntelliSep Index (ISI)-that aids in the diagnosis of sepsis in patients with suspected or confirmed infection from a single blood draw performed at the time of ED presentation. By applying this technique to a high acuity cohort with a 23.5% sepsis incidence (n = 307), we defined specific metrics-the aspect ratio and visco-elastic inertial response-that are more sensitive than cell size or cell count in predicting disease severity. The final model was trained and cross-validated on the high acuity cohort, and the performance and generalizability of the model was evaluated on a separate low acuity cohort with a 6.4% sepsis incidence (n = 94) and healthy donors (n = 72). For easier clinical interpretation, the ISI is divided into three interpretation bands of Green, Yellow, and Red that correspond to increasing disease severity. The ISI agreed with the diagnosis established by retrospective physician adjudication, and accurately identified subjects with severe illness as measured by SOFA, APACHE-II, hospital-free days, and intensive care unit admission. Measured using routinely collected blood samples, with a short run-time and no requirement for patient or laboratory information, the ISI is well suited to aid ED clinicians in rapidly diagnosing sepsis.

Indexed as

AdultAgedCohort StudiesDecision Support TechniquesEmergency Service, HospitalFemaleHospitalizationHumansLeukocyte CountLeukocytesMaleMicrofluidic Analytical TechniquesMiddle AgedPrognosisProspective StudiesReproducibility of Results

Identifiers

PMID33857126
PMCPMC8049231

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.