Evidence map›Paper›PMID 31634231›Full record

Observational studyCritical care medicine2019

Host-Response Subphenotypes Offer Prognostic Enrichment in Patients With or at Risk for Acute Respiratory Distress Syndrome.

Georgios D Kitsios, Libing Yang, Dimitris V Manatakis, Mehdi Nouraie, John Evankovich, William Bain, Daniel G Dunlap, Faraaz Shah, Ian J Barbash, Sarah F Rapport and 10 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Critical care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Observational
  16. Identifying subphenotypes of patients undergoing post-operative delirium assessment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Observational
  17. Article
  18. The Impact of Inflammatory Biomarker Subphenotypes on Acute Respiratory Distress Syndrome Prognosis: A Systematic Review and Meta-analysis.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Review
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 2 institutions in 1 country.

Georgios D KitsiosDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Libing YangDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Dimitris V ManatakisDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA.
Mehdi NouraieDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
John EvankovichDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
William BainDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Daniel G DunlapDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Faraaz ShahDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Ian J BarbashDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Sarah F RapportDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Yingze ZhangDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Rebecca S DeSensiDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Nathaniel M WeathingtonDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Bill B ChenDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Prabir RayDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Rama K MallampalliDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Panayiotis V BenosDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA.
Janet S LeeDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Alison MorrisDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
Bryan J McVerryDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA.
University of Pittsburgh Medical Center · USUniversity of Pittsburgh · US

Funding

Regulation of Cardiolin Byosynthesis in Epithelial InjuryP01HL114453 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MALLAMPALLI, RAMA K · 2014 to 2023
$21.3M
Systematic Investigation of Protein Ubiquitination in ARDSR35HL139860 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, BEIBEI · 2018 to 2024
$6.3M
F box-Induced Acute Lung Injury and ParkinR01HL096376 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MALLAMPALLI, RAMA K · 2010 to 2025
$5.1M
Sepsis-Associated Immune Suppression and F-box ProteinsR01HL097376 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MALLAMPALLI, RAMA K · 2009 to 2025
$5.1M
Mechanisms of host protection against pathogen-secreted proteases in acute lung injuryR01HL136143 · NHLBI · WASHINGTON UNIVERSITY · PI LEE, JANET SOJUNG · 2017 to 2024
$4.4M
Pathogenesis of Obstruction/Emphysema and the Microbiome (POEM) in HIVU01HL098962 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE, MORRIS, ALISON · 2009 to 2013
$3.8M
The role of ACOD1 in immunomodulation in intrapulmonary Klebsiella pneumoniae infectionR01HL142084 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, KONG · 2018 to 2021
$2.4M
Role of F-Box Proteins in Lung TransplantationR01HL133184 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, BEIBEI, MCDYER, JOHN F · 2017 to 2020
$2.1M
Regulation of Innate Immunity by F-Box ProteinsR01HL116472 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, BEIBEI · 2013 to 2017
$1.9M
Systems Level Causal Discovery in Heterogeneous TOPMed DataU01HL137159 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SCIURBA, FRANK · 2017 to 2019
$1.8M
INTEGRATIVE GRAPHICAL MODELS FOR LARGE MULTI-MODAL BIOMEDICAL DATAR01LM012087 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, GLYMOUR, CLARK · 2015 to 2018
$1.3M
Microbiome-based diagnosis of pneumonia in the acute respiratory distress syndromeK23HL139987 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KITSIOS, GEORGIOS · 2018 to 2022
$806k
AHRQ HHS K08 HS025455NHLBI NIH HHS F32 HL137258NHLBI NIH HHS F32 HL142172NHLBI NIH HHS K23 HL139987NHLBI NIH HHS K24 HL123342NHLBI NIH HHS K24 HL143285NHLBI NIH HHS L30 HL143734NHLBI NIH HHS P01 HL114453NHLBI NIH HHS R01 HL096376NHLBI NIH HHS R01 HL097376NHLBI NIH HHS R01 HL116472NHLBI NIH HHS R01 HL133184NHLBI NIH HHS R01 HL136143NHLBI NIH HHS R01 HL142084NHLBI NIH HHS R35 HL139860NHLBI NIH HHS U01 HL098962NHLBI NIH HHS U01 HL137159NIGMS NIH HHS K23 GM122069NLM NIH HHS R01 LM012087
6 · The paper itself

Abstract

objectivesClassification of patients with acute respiratory distress syndrome into hyper- and hypoinflammatory subphenotypes using plasma biomarkers may facilitate more effective targeted therapy. We examined whether established subphenotypes are present not only in patients with acute respiratory distress syndrome but also in patients at risk for acute respiratory distress syndrome (ARFA) and then assessed the prognostic information of baseline subphenotyping on the evolution of host-response biomarkers and clinical outcomes.

designProspective, observational cohort study.

settingMedical ICU at a tertiary academic medical center. PATIENTS: Mechanically ventilated patients with acute respiratory distress syndrome or ARFA.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe performed longitudinal measurements of 10 plasma biomarkers of host injury and inflammation. We applied unsupervised latent class analysis methods utilizing baseline clinical and biomarker variables and demonstrated that two-class models (hyper- vs hypoinflammatory subphenotypes) offered improved fit compared with one-class models in both patients with acute respiratory distress syndrome and ARFA. Baseline assignment to the hyperinflammatory subphenotype (39/104 [38%] acute respiratory distress syndrome and 30/108 [28%] ARFA patients) was associated with higher severity of illness by Sequential Organ Failure Assessment scores and incidence of acute kidney injury in patients with acute respiratory distress syndrome, as well as higher 30-day mortality and longer duration of mechanical ventilation in ARFA patients (p < 0.0001). Hyperinflammatory patients exhibited persistent elevation of biomarkers of innate immunity for up to 2 weeks postintubation.

conclusionsOur results suggest that two distinct subphenotypes are present not only in patients with established acute respiratory distress syndrome but also in patients at risk for its development. Hyperinflammatory classification at baseline is associated with higher severity of illness, worse clinical outcomes, and trajectories of persistently elevated biomarkers of host injury and inflammation during acute critical illness compared with hypoinflammatory patients. Our findings provide strong rationale for examining treatment effect modifications by subphenotypes in randomized clinical trials to inform precision therapeutic approaches in critical care.

Indexed as

AdultAgedBiomarkersFemaleHumansInflammationMaleMiddle AgedPhenotypePrognosisProspective StudiesRespiratory Distress SyndromeRisk AssessmentBiomarkers

Identifiers

PMID31634231
PMCPMC6865808
OpenAlexW2980621316

What OpenQuestion holds

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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.