Evidence map›Paper›PMID 31107278›Full record

ArticleCritical care medicine2019

Monocyte Distribution Width: A Novel Indicator of Sepsis-2 and Sepsis-3 in High-Risk Emergency Department Patients.

Elliott D Crouser, Joseph E Parrillo, Christopher W Seymour, Derek C Angus, Keri Bicking, Vincent G Esguerra, Octavia M Peck-Palmer, Robert T Magari, Mark W Julian, Jennifer M Kleven and 4 more

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Critical care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
14.8field-weighted citation impact, top 1% of its field
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.

NCT04292431 completednot on this map

Exploration of Variations in Leukocyte Morphological Parameters (MDW and CPD) Using the Beckman Coulter DxH900, Based on the Infectious Condition, Inflammatory State and Response to Corticosteroid Therapy in Septic Patients

Typeobservational_patient_registrySponsorBeckman Coulter, Inc.Ran2019 to 2020Enrolled175ConditionsSepsis, Septic Shock, Sepsis Syndrome, Infection
NCT05036928 unknown statusnot on this mapstarted 2021, after this paper: background citation

Study of MDW Levels Predicting the Development of Sepsis in Hospitalized HIV-infected Patients and Correlation With Prognosis

TypeobservationalSponsorShanghai Public Health Clinical CenterRan2021 to 2022Enrolled450ConditionsHIV Infections, SepsisArmsMonocyte distribution width (MDW)
3 · Its place in the literature

Who cites it

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 167 citations in OpenAlex.

  1. Pooled it
  2. Novel inflammatory biomarkers in the prognosis of COVID-19.Therapeutic advances in respiratory disease
    Pooled it
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Regulation of histones in thromboinflammation.Frontiers in immunology · 2026
    Review
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Review
  20. Article

31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Elliott D CrouserDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Joseph E ParrilloHeart and Vascular Hospital, Hackensack University Medical Center, Hackensack, NJ.
Christopher W SeymourThe CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine Pittsburgh, PA.
Derek C AngusThe CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine Pittsburgh, PA.
Keri BickingHeart and Vascular Hospital, Hackensack University Medical Center, Hackensack, NJ.
Vincent G EsguerraDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Octavia M Peck-PalmerDepartment of Pathology, University of Pittsburgh School of Medicine, PA.
Robert T MagariBeckman Coulter, Inc., Miami, FL.
Mark W JulianDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Jennifer M KlevenHeart and Vascular Hospital, Hackensack University Medical Center, Hackensack, NJ.
Paarth J RajHeart and Vascular Hospital, Hackensack University Medical Center, Hackensack, NJ.
Gabrielle ProcopioHeart and Vascular Hospital, Hackensack University Medical Center, Hackensack, NJ.
Diana CareagaBeckman Coulter, Inc., Miami, FL.
Liliana TejidorBeckman Coulter, Inc., Miami, FL.
Hackensack University Medical Center · USBeckman Coulter Foundation · USThe Ohio State University Wexner Medical Center · USUniversity of Pittsburgh · US

Funding

Sepsis subtypes: biology, treatment, and bedside applicationR35GM119519 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christopher W. Seymour · 2016 to 2026
$4.9M
NIGMS NIH HHS R35 GM119519
6 · The paper itself

Abstract

objectivesMost septic patients are initially encountered in the emergency department where sepsis recognition is often delayed, in part due to the lack of effective biomarkers. This study evaluated the diagnostic accuracy of peripheral blood monocyte distribution width alone and in combination with WBC count for early sepsis detection in the emergency department.

designAn Institutional Review Board approved, blinded, observational, prospective cohort study conducted between April 2017 and January 2018.

settingSubjects were enrolled from emergency departments at three U.S. academic centers. PATIENTS: Adult patients, 18-89 years, with complete blood count performed upon presentation to the emergency department, and who remained hospitalized for at least 12 hours. A total of 2,212 patients were screened, of whom 2,158 subjects were enrolled and categorized per Sepsis-2 criteria, such as controls (n = 1,088), systemic inflammatory response syndrome (n = 441), infection (n = 244), and sepsis (n = 385), and Sepsis-3 criteria, such as control (n = 1,529), infection (n = 386), and sepsis (n = 243).

interventionsThe primary outcome determined whether an monocyte distribution width of greater than 20.0 U, alone or in combination with WBC, improves early sepsis detection by Sepsis-2 criteria. Secondary endpoints determined monocyte distribution width performance for Sepsis-3 detection. MEASUREMENTS AND MAIN

resultsMonocyte distribution width greater than 20.0 U distinguished sepsis from all other conditions based on either Sepsis-2 criteria (area under the curve, 0.79; 95% CI, 0.76-0.82) or Sepsis-3 criteria (area under the curve, 0.73; 95% CI, 0.69-0.76). The negative predictive values for monocyte distribution width less than or equal to 20 U for Sepsis-2 and Sepsis-3 were 93% and 94%, respectively. Monocyte distribution width greater than 20.0 U combined with an abnormal WBC further improved Sepsis-2 detection (area under the curve, 0.85; 95% CI, 0.83-0.88) and as reflected by likelihood ratio and added value analyses. Normal WBC and monocyte distribution width inferred a six-fold lower sepsis probability.

conclusionsAn monocyte distribution width value of greater than 20.0 U is effective for sepsis detection, based on either Sepsis-2 criteria or Sepsis-3 criteria, during the initial emergency department encounter. In tandem with WBC, monocyte distribution width is further predicted to enhance medical decision making during early sepsis management in the emergency department.

Indexed as

Emergency Service, HospitalAdultAgedBiomarkersCase-Control StudiesFemaleHumansLymphocyte CountMaleMiddle AgedMonocytesProspective StudiesSepsisShock, SepticYoung AdultBiomarkers

Identifiers

PMID31107278
PMCPMC6629174
OpenAlexW2945881004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.