Evidence map›Paper›PMID 35641002›Full record

Observational studyRespiratory care2022

Ventilatory Ratio Is a Valuable Prognostic Indicator in an Observational Cohort of Patients With ARDS.

Emily R Siegel, Hanjing Zhuo, Pratik Sinha, Alexander I Papolos, Siyuan A Ni, Kathryn Vessel, Annika Belzer, Emily B Minus, Carolyn S Calfee, Michael A Matthay and 1 more

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Respiratory care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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.

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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Impact of Arterial CORespiratory care · 2023
    Article
  6. Observational
  7. 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

11 authors at 4 institutions in 1 country.

Emily R SiegelSchool of Medicine, University of California, San Francisco, San Francisco, California.
Hanjing ZhuoCardiovascular Research Institute, University of California, San Francisco, San Francisco, California.
Pratik SinhaDepartment of Anesthesiology, Washington University in St. Louis, St. Louis, Missouri.
Alexander I PapolosDepartments of Cardiology and Critical Care, MedStar Washington Hospital Center, Washington, District of Columbia.
Siyuan A NiDepartment of Pulmonology, Mills-Peninsula Medical Center, Burlingame, California.
Kathryn VesselCardiovascular Research Institute, University of California, San Francisco, San Francisco, California.
Annika BelzerCardiovascular Research Institute, University of California, San Francisco, San Francisco, California.
Emily B MinusCardiovascular Research Institute, University of California, San Francisco, San Francisco, California.
Carolyn S CalfeeCardiovascular Research Institute, University of California, San Francisco, San Francisco, California; Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California; and Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California.
Michael A MatthayCardiovascular Research Institute, University of California, San Francisco, San Francisco, California; Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California; and Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California.
Katherine D WickCardiovascular Research Institute, University of California, San Francisco, San Francisco, California. Katherine.wick@ucsf.edu.
University of California, San Francisco · USMedStar Washington Hospital Center · USMills Peninsula Health Services · USWashington University in St. Louis · US

Funding

NRSA Training CoreTL1TR001871 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SOMSOUK, MA · 2016 to 2025
$10.1M
Precision Medicine in the Acute Respiratory Distress SyndromeR35HL140026 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALFEE, CAROLYN · 2018 to 2024
$6.8M
Comprehensive Anesthesia Research TrainingT32GM008440 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Judith Hellman · 1996 to 2026
$5.5M
NOVEL PARACRINE MECHANISMS FOR CELL-BASED THERAPY OF INJURED LUNGSR01HL134828 · NHLBI · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI JI, HONG-LONG · 2017 to 2025
$3.4M
NCATS NIH HHS TL1 TR001871NHLBI NIH HHS R01 HL134828NHLBI NIH HHS R35 HL140026NIGMS NIH HHS T32 GM008440
6 · The paper itself

Abstract

backgroundHow indices specific to respiratory compromise contribute to prognostication in patients with ARDS is not well characterized in general clinical populations. The primary objective of this study was to identify variables specific to respiratory failure that might add prognostic value to indicators of systemic illness severity in an observational cohort of subjects with ARDS.

methodsFifty subjects with ARDS were enrolled in a single-center, prospective, observational cohort. We tested the contribution of respiratory variables (oxygenation index, ventilatory ratio [VR], and the radiographic assessment of lung edema score) to logistic regression models of 28-d mortality adjusted for indicators of systemic illness severity (the Acute Physiology and Chronic Health Evaluation [APACHE] III score or severity of shock as measured by the number of vasopressors required at baseline) using likelihood ratio testing. We also compared a model utilizing APACHE III with one including baseline number of vasopressors by comparing the area under the receiver operating curve (AUROC).

resultsVR significantly improved model performance by likelihood ratio testing when added to APACHE III (

conclusionsIn this observational cohort of subjects with ARDS, the VR significantly improved discrimination for mortality when combined with indicators of severe systemic illness. The number of vasopressors required at baseline and APACHE III had similar discrimination for mortality when combined with VR. VR is easily obtained at the bedside and offers promise for clinical prognostication.

Indexed as

Respiratory Distress SyndromeAPACHECohort StudiesHumansIntensive Care UnitsPrognosisProspective StudiesROC CurveARDSpulmonary dead spacepulmonary edemaventilatory ratio

Identifiers

PMID35641002
PMCPMC9994339
OpenAlexW4281640906

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.