Evidence map›Paper›PMID 32206845›Full record

ArticleIntensive care medicine2020

Acute respiratory distress syndrome-attributable mortality in critically ill patients with sepsis.

Catherine L Auriemma, Hanjing Zhuo, Kevin Delucchi, Thomas Deiss, Tom Liu, Alejandra Jauregui, Serena Ke, Kathryn Vessel, Matthew Lippi, Eric Seeley and 7 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07281911 (Characterization of Early Biological and Mechanical Profiles in Sepsis-Associated ARDS for Studying Compartmentalization), which is not on this map. Cited by 100 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 4 pooled it
–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.

NCT07281911 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Characterization of Early Biological and Mechanical Profiles in Sepsis-Associated ARDS for Studying Compartmentalization (Serial Bronchoalveolar Lavage and Plasma Biomarkers) to Identify Inflammatory and Hybrid Subphenotypes

TypeobservationalSponsorHospital Universitari Vall d'Hebron Research InstituteRan2026 to 2029Enrolled145ConditionsAcute Hypoxemic Respiratory Failure, Sepsis, ARDS (Acute Respiratory Distress Syndrome)ArmsSerial bronchoalveolar lavage and biological-physiological assessment
3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  7. IL-15/NKG2D signaling-mediated activation of CD8Journal of thoracic disease · 2026
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  19. Host-Microbe Multiomic Profiling Predicts Mortality in Sepsis.American journal of respiratory and critical care medicine · 2026
    Article
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40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Catherine L AuriemmaDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Hospital of the University of Pennsylvania, 839 W. Gates, 3600 Spruce Street, Philadelphia, PA, 19103-4283, USA. Catherine.auriemma@pennmedicine.upenn.edu.
Hanjing ZhuoCardiovascular Research Institute, University of California, San Francisco, CA, USA.
Kevin DelucchiDepartment of Psychiatry, University of California, San Francisco, USA.
Thomas DeissDepartment of Biochemistry and Biophysics, University of California, San Francisco, USA.
Tom LiuVirginia Tech Carilion School of Medicine, Roanoke, VA, USA.
Alejandra JaureguiDepartment of Medicine, University of California, San Francisco, USA.
Serena KeDepartment of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, USA.
Kathryn VesselDepartment of Medicine, University of California, San Francisco, USA.
Matthew LippiUniversity of Colorado School of Medicine, Aurora, CO, USA.
Eric SeeleyDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, USA.
Kirsten N KangelarisDepartment of Medicine, University of California, San Francisco, USA.
Antonio GomezDepartment of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, USA.
Carolyn HendricksonDepartment of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, USA.
Kathleen D LiuDivision of Nephrology, Department of Medicine, University of California, San Francisco, USA.
Michael A MatthayCardiovascular Research Institute, University of California, San Francisco, CA, USA.
Lorraine B WareDepartments of Medicine and Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN, USA.
Carolyn S CalfeeCardiovascular Research Institute, University of California, San Francisco, CA, USA.

Funding

Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Precision Medicine in the Acute Respiratory Distress SyndromeR35HL140026 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALFEE, CAROLYN · 2018 to 2024
$6.8M
Targeting cell-free hemoglobin in sepsis to reduce lung microvascular permeability: mechanistic and translational studiesR01HL135849 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, JULIE ANNE, WARE, LORRAINE B · 2017 to 2020
$2.2M
Midcareer Investigator Award in Patient-Oriented Research in Acute Lung InjuryK24HL103836 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WARE, LORRAINE B · 2010 to 2020
$1.6M
Acute Respiratory Distress Syndrome after Isolated Traumatic Brain Injury: Platelet Biology, Endothelial Activation, and Mechanical VentilationK23HL133495 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENDRICKSON, CAROLYN MARIE · 2016 to 2020
$994k
NHLBI NIH HHS HL103836NHLBI NIH HHS HL135849NHLBI NIH HHS HL140026NHLBI NIH HHS K23 HL133495NHLBI NIH HHS K24 HL103836NHLBI NIH HHS R01 HL135849NHLBI NIH HHS R35 HL140026NHLBI NIH HHS T32 HL098054
6 · The paper itself

Abstract

purposePrevious studies assessing impact of acute respiratory distress syndrome (ARDS) on mortality have shown conflicting results. We sought to assess the independent association of ARDS with in-hospital mortality among intensive care unit (ICU) patients with sepsis.

methodsWe studied two prospective sepsis cohorts drawn from the Early Assessment of Renal and Lung Injury (EARLI; n = 474) and Validating Acute Lung Injury markers for Diagnosis (VALID; n = 337) cohorts. ARDS was defined by Berlin criteria. We used logistic regression to compare in-hospital mortality in patients with and without ARDS, controlling for baseline severity of illness. We also estimated attributable mortality, adjusted for illness severity by stratification.

resultsARDS occurred in 195 EARLI patients (41%) and 99 VALID patients (29%). ARDS was independently associated with risk of hospital death in multivariate analysis, even after controlling for severity of illness, as measured by APACHE II (odds ratio [OR] 1.65 (95% confidence interval [CI] 1.02, 2.67), p = 0.04 in EARLI; OR 2.12 (CI 1.16, 3.92), p = 0.02 in VALID). Patients with severe ARDS (P/F < 100) primarily drove this relationship. The attributable mortality of ARDS was 27% (CI 14%, 37%) in EARLI and 37% (CI 10%, 51%) in VALID. ARDS was independently associated with ICU mortality, hospital length of stay (LOS), ICU LOS, and ventilator-free days.

conclusionsDevelopment of ARDS among ICU patients with sepsis confers increased risk of ICU and in-hospital mortality in addition to other important outcomes. Clinical trials targeting patients with severe ARDS will be best poised to detect measurable differences in these outcomes.

Indexed as

Respiratory Distress SyndromeSepsisBerlinCritical IllnessHospital MortalityHumansIntensive Care UnitsProspective StudiesAcute lung injuryAcute respiratory distress syndromeMortalitySepsis

Identifiers

PMID32206845
PMCPMC7224051

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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.