Evidence map›Paper›PMID 35819783›Full record

ArticleJAMA network open2022

Evaluation of a Multivalent Transcriptomic Metric for Diagnosing Surgical Sepsis and Estimating Mortality Among Critically Ill Patients.

Scott C Brakenridge, Uan-I Chen, Tyler Loftus, Ricardo Ungaro, Marvin Dirain, Austin Kerr, Luer Zhong, Rhonda Bacher, Petr Starostik, Gabriella Ghita and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05639504 (Sepsis Prognosis and Diagnosis in the Emergency Department Using a Host Response Classifier), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 6% 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.

NCT05639504 withdrawnnot on this map

Sepsis Prognosis and Diagnosis in the Emergency Department Using a Host Response Classifier (SPEED) UK - a Multi-Centre Observational Study

TypeobservationalSponsorInflammatixRan2022 to 2023Enrolled0ConditionsRespiratory Tract Infections, Urinary Tract Infections, Intra-Abdominal Infections, Skin and Soft Tissue InfectionArmsIMX-BVN-4 and IMX-SEV-4
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

18 authors at 3 institutions in 1 country.

Scott C BrakenridgeSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Uan-I ChenInflammatix, Inc, Burlingame, California.
Tyler LoftusSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Ricardo UngaroSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Marvin DirainSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Austin KerrSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Luer ZhongSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Rhonda BacherSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Petr StarostikMolecular Pathology Laboratory at Rocky Point, Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville.
Gabriella GhitaSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Uros MidicInflammatix, Inc, Burlingame, California.
Dijoia DardenSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Brittany FennerSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
James WackerInflammatix, Inc, Burlingame, California.
Philip A EfronSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Oliver LiesenfeldInflammatix, Inc, Burlingame, California.
Timothy E SweeneyInflammatix, Inc, Burlingame, California.
Lyle L MoldawerSepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville.
Florida College · USUniversity of Florida · USUniversity of Washington · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Stephen D Anton · 2007 to 2026
$22.8M
6 · The paper itself

Abstract

Importance: Rapid and accurate discrimination of sepsis and its potential severity currently require multiple assays with slow processing times that are often inconclusive in discerning sepsis from sterile inflammation. Objective: To analyze a whole-blood, multivalent, host-messenger RNA expression metric for estimating the likelihood of bacterial infection and 30-day mortality and compare performance of the metric with that of other diagnostic and prognostic biomarkers and clinical parameters. Design, Setting, and Participants: This prospective diagnostic and prognostic study was performed in the surgical intensive care unit (ICU) of a single, academic health science center. The analysis included 200 critically ill adult patients admitted with suspected sepsis (cohort A) or those at high risk for developing sepsis (cohort B) between July 1, 2020, and July 30, 2021. Exposures: Whole-blood sample measurements of a custom 29-messenger RNA transcriptomic metric classifier for likelihood of bacterial infection (IMX-BVN-3) or 30-day mortality (severity) (IMX-SEV-3) in a clinical-diagnostic laboratory setting using an analysis platform (510[k]-cleared nCounter FLEX; NanoString, Inc), compared with measurement of procalcitonin and interleukin 6 (IL-6) plasma levels, and maximum 24-hour sequential organ failure assessment (SOFA) scores. Main Outcomes and Measures: Estimated sepsis and 30-day mortality performance. Results: Among the 200 patients included (124 men [62.0%] and 76 women [38.0%]; median age, 62.5 [IQR, 47.0-72.0] years), the IMX-BVN-3 bacterial infection classifier had an area under the receiver operating characteristics curve (AUROC) of 0.84 (95% CI, 0.77-0.90) for discriminating bacterial infection at ICU admission, similar to procalcitonin (0.85 [95% CI, 0.79-0.90]; P = .79) and significantly better than IL-6 (0.67 [95% CI, 0.58-0.75]; P < .001). For estimating 30-day mortality, the IMX-SEV-3 metric had an AUROC of 0.81 (95% CI, 0.66-0.95), which was significantly better than IL-6 levels (0.57 [95% CI, 0.37-0.77]; P = .006), marginally better than procalcitonin levels (0.65 [95% CI, 0.50-0.79]; P = .06), and similar to the SOFA score (0.76 [95% CI, 0.62-0.91]; P = .48). Combining IMX-BVN-3 and IMX-SEV-3 with procalcitonin or IL-6 levels or SOFA scores did not significantly improve performance. Among patients with sepsis, IMX-BVN-3 scores decreased over time, reflecting the resolution of sepsis. In 11 individuals at high risk (cohort B) who subsequently developed sepsis during their hospital course, IMX-BVN-3 bacterial infection scores did not decline over time and peaked on the day of documented infection. Conclusions and Relevance: In this diagnostic and prognostic study, a novel, multivalent, transcriptomic metric accurately estimated the presence of bacterial infection and risk for 30-day mortality in patients admitted to a surgical ICU. The performance of this single transcriptomic metric was equivalent to or better than multiple alternative diagnostic and prognostic metrics when measured at admission and provided additional information when measured over time.

Indexed as

Critical IllnessSepsisAdultFemaleHospital MortalityHumansInterleukin-6MaleMiddle AgedProcalcitoninProspective StudiesRNA, MessengerTranscriptomeInterleukin-6ProcalcitoninRNA, Messenger

Identifiers

PMID35819783
PMCPMC9277492
OpenAlexW4285078529

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.