Evidence map›Paper›PMID 37841841›Full record

ArticleResearch square2023

Prognostic Insights from Longitudinal Multicompartment Study of Host-Microbiota Interactions in Critically Ill Patients.

Georgios D Kitsios, Khaled Sayed, Adam Fitch, Haopu Yang, Noel Britton, Faraaz Shah, William Bain, John W Evankovich, Shulin Qin, Xiaohong Wang and 13 more

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

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 4 institutions in 2 countries.

Georgios D KitsiosDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-1018-948X
Khaled SayedDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Adam FitchCenter for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA.
Haopu YangSchool of Medicine, Tsinghua University, Beijing, China.
Noel BrittonDivision of Pulmonary Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Faraaz ShahDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
William BainDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-8506-0552
John W EvankovichDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Shulin QinDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Xiaohong WangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Kelvin LiCenter for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA.
Asha PatelDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Yingze ZhangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Josiah RadderDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Charles Dela CruzDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Daniel A OkinDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Ching-Ying HuangDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Daria van TyneDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-7284-0103
Panayiotis V BenosDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Barbara MethéDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Peggy LaiDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Alison MorrisDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Bryan J McVerryDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-1175-4874
University of Pittsburgh · USJohns Hopkins University · USHarvard University · USUniversity of Florida Health · US

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Regulation of Cardiolin Byosynthesis in Epithelial InjuryP01HL114453 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MALLAMPALLI, RAMA K · 2014 to 2023
$21.3M
Translational Training Program in Pulmonary Biology and MedicineT32HL007563 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Melanie Koenigshoff · 1985 to 2026
$12.3M
Genomic Analysis of Tissue and Cellular Heterogeneity in IPFR01HL127349 · NHLBI · YALE UNIVERSITY · PI BENOS, PANAGIOTIS V, KAMINSKI, NAFTALI · 2015 to 2025
$5.9M
COPD SUBTYPES AND EARLY PREDICTION USING INTEGRATIVE PROBABILISTIC GRAPHICAL MODELS R01HL157879R01HL157879 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SCIURBA, FRANK · 2021 to 2024
$2.9M
Novel Biomarkers for Post-Liver Transplant NASH FibrosisR01DK130294 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ARTEEL, GAVIN E, BENOS, PANAGIOTIS V · 2022 to 2025
$2.8M
Interpretable graphical models for large multi-modal COPD data (R01HL159805)R01HL159805 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SPIRTES, PETER · 2021 to 2024
$2.0M
Microbial Determinants of Acute Respiratory Distress Syndrome Severity (MiDAS)R03HL162655 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KITSIOS, GEORGIOS · 2022 to 2023
$159k
Platelet factors attenuate alveolar injury during severe pneumoniaIK2BX004886 · VA · VETERANS HEALTH ADMINISTRATION · PI BAIN, WILLIAM G · 2020 to 2024
–
BLRD VA IK2 BX004886NCATS NIH HHS UL1 TR002541NHLBI NIH HHS P01 HL114453NHLBI NIH HHS R01 HL127349NHLBI NIH HHS R01 HL157879NHLBI NIH HHS R01 HL159805NHLBI NIH HHS R03 HL162655NHLBI NIH HHS T32 HL007563NIDDK NIH HHS R01 DK130294
6 · The paper itself

Abstract

Critical illness can disrupt the composition and function of the microbiome, yet comprehensive longitudinal studies are lacking. We conducted a longitudinal analysis of oral, lung, and gut microbiota in a large cohort of 479 mechanically ventilated patients with acute respiratory failure. Progressive dysbiosis emerged in all three body compartments, characterized by reduced alpha diversity, depletion of obligate anaerobe bacteria, and pathogen enrichment. Clinical variables, including chronic obstructive pulmonary disease, immunosuppression, and antibiotic exposure, shaped dysbiosis. Notably, of the three body compartments, unsupervised clusters of lung microbiota diversity and composition independently predicted survival, transcending clinical predictors, organ dysfunction severity, and host-response sub-phenotypes. These independent associations of lung microbiota may serve as valuable biomarkers for prognostication and treatment decisions in critically ill patients. Insights into the dynamics of the microbiome during critical illness highlight the potential for microbiota-targeted interventions in precision medicine.

Indexed as

biomarkerscritical illnessdysbiosismicrobiomeprecision medicine

Identifiers

PMID37841841
PMCPMC10571606
OpenAlexW4387005170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.