Evidence map›Paper›PMID 30935881›Full record

ArticleThe Lancet. Respiratory medicine2019

Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study.

Madeleine K D Scott, Katie Quinn, Qin Li, Robert Carroll, Hayley Warsinske, Francesco Vallania, Shirley Chen, Mary A Carns, Kathleen Aren, Jiehuan Sun and 14 more

Registry-linked trialOpen access · hybridAbstract readMulticenter StudyValidation Study
In one paragraph

Article in The Lancet. Respiratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05716022 (Hiatal Hernia and Pulmonary Involvement Related to Subclinical Lung Injury and Fibrosis), which is not on this map. Cited by 154 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 3 pooled it
22.1field-weighted citation impact, top 1% 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.

NCT05716022 completednot on this mapstarted 2023, after this paper: background citation

Hiatal Hernia and Pulmonary Involvement Related to Subclinical Lung Injury and Fibrosis

TypeobservationalSponsorUniversity of VirginiaRan2023 to 2025Enrolled14ConditionsHiatal Hernia, Interstitial Lung DiseaseArmsBlood Collection, Bronchoscopy
3 · Its place in the literature

Who cites it

154 citing papers in PubMed, 3 syntheses or guidelines pooled it, 244 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
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  8. The transcriptome of CD14The European respiratory journal · 2026
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  19. Precision Medicine Advances in Chronic Lung Diseases.International journal of molecular sciences · 2025
    Article
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94 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 7 institutions in 1 country.

Madeleine K D ScottInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biophysics, Stanford University School of Medicine, Stanford, CA, USA.
Katie QuinnDivision for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Qin LiSection of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
Robert CarrollDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Hayley WarsinskeInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Francesco VallaniaInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Shirley ChenInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Mary A CarnsDepartment of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Kathleen ArenDepartment of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jiehuan SunDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
Kimberly KolomsDepartment of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jungwha LeeDepartment of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jessika BaralInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Jonathan KropskiDivision of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Hongyu ZhaoDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
Erica HerzogSection of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
Fernando J MartinezDepartment of Medicine, Weill Cornell Medical College, Cornell University, New York, NY, USA.
Bethany B MooreDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Monique HinchcliffDepartment of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Joshua DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Naftali KaminskiSection of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
Jose D Herazo-MayaSection of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
Nigam H ShahDivision for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Purvesh KhatriInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: pkhatri@stanford.edu.
Stanford University · USYale University · USNorthwestern University · USVanderbilt University Medical Center · USCornell University · USUniversity of Michigan–Ann Arbor · USVanderbilt University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Mechanisms of Familial Pulmonary FibrosisP01HL092870 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHWARTZ, DAVID ALBERT · 2010 to 2020
$21.6M
Resource CoreP30AR072579 · NIAMS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Leena Sharma · 2017 to 2026
$8.3M
Immunobiology of Lung Injury and FibrosisR35HL144481 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOORE, BETHANY B. · 2019 to 2024
$5.2M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
Methods for generalized ontology terms enrichment analysisR01LM011369 · NLM · STANFORD UNIVERSITY · PI SHAH, NIGAM H · 2013 to 2020
$5.0M
HSCT-induced alterations in DCs to promote IL-17 and lung pathologyR01HL127805 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOORE, BETHANY B. · 2016 to 2018
$1.5M
NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR003142NHLBI NIH HHS K08 HL130595NHLBI NIH HHS K12 HL120001NHLBI NIH HHS P01 HL092870NHLBI NIH HHS R01 HL127805NHLBI NIH HHS R35 HL144481NIAID NIH HHS R01 AI125197NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI109662NIAMS NIH HHS P30 AR072579NLM NIH HHS R01 LM011369
6 · The paper itself

Abstract

backgroundThere is an urgent need for biomarkers to better stratify patients with idiopathic pulmonary fibrosis by risk for lung transplantation allocation who have the same clinical presentation. We aimed to investigate whether a specific immune cell type from patients with idiopathic pulmonary fibrosis could identify those at higher risk of poor outcomes. We then sought to validate our findings using cytometry and electronic health records.

methodsWe first did a discovery analysis with transcriptome data from the Gene Expression Omnibus at the National Center for Biotechnology Information for 120 peripheral blood mononuclear cell (PBMC) samples of patients with idiopathic pulmonary fibrosis. We estimated percentages of 13 immune cell types using statistical deconvolution, and investigated the association of these cell types with transplant-free survival. We validated these results using PBMC samples from patients with idiopathic pulmonary fibrosis in two independent cohorts (COMET and Yale). COMET profiled monocyte counts in 45 patients with idiopathic pulmonary fibrosis from March 12, 2010, to March 10, 2011, using flow cytometry; we tested if increased monocyte count was associated with the primary outcome of disease progression. In the Yale cohort, 15 patients with idiopathic pulmonary fibrosis (with five healthy controls) were classed as high risk or low risk from April 28, 2014, to Aug 20, 2015, using a 52-gene signature, and we assessed whether monocyte percentage (measured by cytometry by time of flight) was higher in high-risk patients. We then examined complete blood count values in the electronic health records (EHR) of 45 068 patients with idiopathic pulmonary fibrosis, systemic sclerosis, hypertrophic cardiomyopathy, or myelofibrosis from Stanford (Jan 01, 2008, to Dec 31, 2015), Northwestern (Feb 15, 2001 to July 31, 2017), Vanderbilt (Jan 01, 2008, to Dec 31, 2016), and Optum Clinformatics DataMart (Jan 01, 2004, to Dec 31, 2016) cohorts, and examined whether absolute monocyte counts of 0·95 K/μL or greater were associated with all-cause mortality in these patients.

findingsIn the discovery analysis, estimated CD14+ classical monocyte percentages above the mean were associated with shorter transplant-free survival times (hazard ratio [HR] 1·82, 95% CI 1·05-3·14), whereas higher percentages of T cells and B cells were not (0·97, 0·59-1·66; and 0·78, 0·45-1·34 respectively). In two validation cohorts (COMET trial and the Yale cohort), patients with higher monocyte counts were at higher risk for poor outcomes (COMET Wilcoxon p=0·025; Yale Wilcoxon p=0·049). Monocyte counts of 0·95 K/μL or greater were associated with mortality after adjusting for forced vital capacity (HR 2·47, 95% CI 1·48-4·15; p=0·0063), and the gender, age, and physiology index (HR 2·06, 95% CI 1·22-3·47; p=0·0068) across the COMET, Stanford, and Northwestern datasets). Analysis of medical records of 7459 patients with idiopathic pulmonary fibrosis showed that patients with monocyte counts of 0·95 K/μL or greater were at increased risk of mortality with lung transplantation as a censoring event, after adjusting for age at diagnosis and sex (Stanford HR=2·30, 95% CI 0·94-5·63; Vanderbilt 1·52, 1·21-1·89; Optum 1·74, 1·33-2·27). Likewise, higher absolute monocyte count was associated with shortened survival in patients with hypertrophic cardiomyopathy across all three cohorts, and in patients with systemic sclerosis or myelofibrosis in two of the three cohorts.

interpretationMonocyte count could be incorporated into the clinical assessment of patients with idiopathic pulmonary fibrosis and other fibrotic disorders. Further investigation into the mechanistic role of monocytes in fibrosis might lead to insights that assist the development of new therapies.

fundingBill & Melinda Gates Foundation, US National Institute of Allergy and Infectious Diseases, and US National Library of Medicine.

Indexed as

Leukocytes, MononuclearAdultBiomarkersFemaleHumansIdiopathic Pulmonary FibrosisLeukocyte CountLung TransplantationMaleMiddle AgedPatient SelectionPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesRisk AssessmentBiomarkers

Identifiers

PMID30935881
PMCPMC6529612
OpenAlexW2929609469

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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.