Evidence map›Paper›PMID 34473294›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2022

Understanding the Link Between Obesity and Severe COVID-19 Outcomes: Causal Mediation by Systemic Inflammatory Response.

Andrea S Foulkes, Caitlin Selvaggi, Daniel Shinnick, Heidi Lumish, Eunyoung Kim, Tingyi Cao, Tanayott Thaweethai, Jing Qian, Frances Lu, Joyce Yan and 10 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

Andrea S FoulkesBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-9520-0501
Caitlin SelvaggiBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Daniel ShinnickBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Heidi LumishDivision of Cardiology, Columbia University, New York, NY 10027, USA.
Eunyoung KimDivision of Cardiology, Columbia University, New York, NY 10027, USA.
Tingyi CaoBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Tanayott ThaweethaiBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Jing QianBiostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003, USA.
Frances LuBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Joyce YanBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
David ChengBiostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Wei HeDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, United States of America.ORCID 0000-0002-8796-7147
Kevin J ClerkinDivision of Cardiology, Columbia University, New York, NY 10027, USA.
Mahesh V MadhavanDivision of Cardiology, Columbia University, New York, NY 10027, USA.
James B MeigsDepartment of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Virginia A TriantDepartment of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Steven A LubitzDepartment of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Aakriti GuptaDivision of Cardiology, Columbia University, New York, NY 10027, USA.
Ingrid V BassettDepartment of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Muredach P ReillyDivision of Cardiology, Columbia University, New York, NY 10027, USA.
Harvard University · USColumbia University · USMassachusetts General Hospital · USUniversity of Massachusetts Amherst · US

Funding

Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic DiseaseR01HL113147 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, REILLY, MUREDACH P · 2012 to 2022
$6.8M
Optimizing HIV Care in Less Developed CountriesR37AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2018 to 2024
$6.6M
Enhancing cardiovascular risk estimation in individuals aging with HIV/HCV co-infectionR01AG062393 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI TRIANT, VIRGINIA ATHENA · 2019 to 2023
$4.5M
Optimizing Cardiovascular Risk Prediction in HIVR01HL132786 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI D'AGOSTINO, RALPH B, TRIANT, VIRGINIA ATHENA · 2017 to 2020
$3.5M
Human LincRNAs in Macrophage Biology and Related Cardiometabolic DiseasesR01HL132561 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2017 to 2020
$2.8M
Methods for integrated analysis of multi-level omics dataR01GM127862 · NIGMS · MOUNT HOLYOKE COLLEGE · PI FOULKES, ANDREA S · 2018 to 2022
$1.7M
Mentored Patient Oriented Research in Cardiometabolic DiseaseK24HL107643 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI REILLY, MUREDACH P · 2011 to 2020
$1.4M
Identifying Novel Diagnostics and Mechanisms for Cardiac Allograft VasculopathyK23HL148528 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLERKIN, KEVIN J · 2020 to 2024
$852k
MGH Division of Clinical Research and the Department of MedicineNHLBI NIH HHS K23 HL148528NHLBI NIH HHS K24 HL107643NHLBI NIH HHS R01 HL113147NHLBI NIH HHS R01 HL132561NHLBI NIH HHS R01 HL132786NIAID NIH HHS R01 AI042006NIAID NIH HHS R37 AI058736NIA NIH HHS R01 AG062393NIGMS NIH HHS R01 GM127862NIH HHS R01 GM127862Weissman Family MGH Research Scholar Award R37 AI058736-16S1
6 · The paper itself

Abstract

backgroundObesity is an established risk factor for severe COVID-19 outcomes. The mechanistic underpinnings of this association are not well-understood.

objectiveTo evaluate the mediating role of systemic inflammation in obesity-associated COVID-19 outcomes.

methodsThis hospital-based, observational study included 3828 SARS-CoV-2-infected patients who were hospitalized February to May 2020 at Massachusetts General Hospital (MGH) or Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP). We use mediation analysis to evaluate whether peak inflammatory biomarkers (C-reactive protein [CRP], erythrocyte sedimentation rate [ESR], D-dimer, ferritin, white blood cell count and interleukin-6) are in the causal pathway between obesity (BMI ≥ 30) and mechanical ventilation or death within 28 days of presentation to care.

resultsIn the MGH cohort (n = 1202), obesity was associated with greater likelihood of ventilation or death (OR = 1.73; 95% CI = [1.25, 2.41]; P = 0.001) and higher peak CRP (P < 0.001) compared with nonobese patients. The estimated proportion of the association between obesity and ventilation or death mediated by CRP was 0.49 (P < 0.001). Evidence of mediation was more pronounced in patients < 65 years (proportion mediated = 0.52 [P < 0.001] vs 0.44 [P = 0.180]). Findings were more moderate but consistent for peak ESR. Mediation by other inflammatory markers was not supported. Results were replicated in CUIMC/NYP cohort (n = 2626).

conclusionFindings support systemic inflammatory pathways in obesity-associated severe COVID-19 disease, particularly in patients < 65 years, captured by CRP and ESR. Contextualized in clinical trial findings, these results reveal therapeutic opportunity to target systemic inflammatory pathways and monitor interventions in high-risk subgroups and particularly obese patients.

Indexed as

AdultAgedAged, 80 and overAgingBlood SedimentationCOVID-19C-Reactive ProteinFemaleFerritinsFibrin Fibrinogen Degradation ProductsHumansInterleukin-6Leukocyte CountMaleMiddle AgedObesityC-Reactive ProteinFerritinsFibrin Fibrinogen Degradation Productsfibrin fragment DIL6 protein, humanInterleukin-6biomarkersCOVID-19inflammationobesitySARS-CoV-2severe disease

Identifiers

PMID34473294
PMCPMC8499919
OpenAlexW3198470031

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.