Evidence map›Paper›PMID 34999821›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Inflammation and Mortality in COVID-19 Hospitalized Patients With and Without Type 2 Diabetes.

Jia Guo, Wen-Hsuan W Lin, Jason E Zucker, Renu Nandakumar, Anne-Catrin Uhlemann, Shuang Wang, Rupak Shivakoti

Open access · bronzeAbstract read
In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  7. Usefulness of the CJournal of clinical medicine · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jia GuoDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Wen-Hsuan W LinDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Jason E ZuckerDepartment of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0001-6987-6412
Renu NandakumarIrving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, NY 10032, USA.
Anne-Catrin UhlemannDepartment of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.
Shuang WangDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Rupak ShivakotiDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-2773-9310
Columbia University Irving Medical Center · USColumbia University · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Deep learning based predictive analytics to improve patient health.R01LM013061 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Krzysztof Kiryluk, CHUNHUA WENG · 2019 to 2026
$2.7M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
MATERNAL INFLAMMATION, DIET AND GUT MICROBIOME IN HIV: IMPACT ON INFANT OUTCOMESR00HD089753 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIVAKOTI, RUPAK · 2018 to 2020
$731k
NCATS NIH HHS UL1 TR001873NIAID NIH HHS K23 AI150378NICHD NIH HHS R00 HD089753NLM NIH HHS R01 LM013061
6 · The paper itself

Abstract

contextCOVID-19 mortality is increased in patients with diabetes. A common hypothesis is that the relationship of inflammation with COVID-19 mortality differs by diabetes status.

objectiveThe aim of this study was to determine the relationship of inflammation with mortality in COVID-19 hospitalized patients and to assess if the relationship differs by strata of type 2 diabetes status.

methodsA case-control (died-survived) study of 538 COVID-19 hospitalized patients, stratified by diabetes status, was conducted at Columbia University Irving Medical Center. We quantified the levels of 8 cytokines and chemokines in serum, including interferon (IFN)-α2, IFN-γ, interleukin (IL)-1α, IL-1β, IL-6, IL-8/CXCL8, IFNγ-induced protein 10 (IP10)/CXCL10 and tumor necrosis factor α (TNF-α) using immunoassays. Logistic regression models were used to model the relationships of log-transformed inflammatory markers (or their principal components) and mortality.

resultsIn multiple logistic regression models, higher serum levels of IL-6 (adjusted odds ratio [aOR]:1.74, 95% CI [1.48, 2.06]), IL-8 (aOR: 1.75 [1.41, 2.19]) and IP10 (aOR: 1.36 [1.24, 1.51]), were significantly associated with mortality. This association was also seen in second principal component with loadings reflecting similarities among these 3 markers (aOR: 1.88 [1.54-2.31]). Significant positive association of these same inflammatory markers with mortality was also observed within each strata of diabetes.

conclusionWe show that mortality in COVID-19 patients is associated with elevated serum levels of innate inflammatory cytokine IL-6 and inflammatory chemokines IL-8 and IP10. This relationship is consistent across strata of diabetes, suggesting interventions targeting these innate immune pathways could potentially also benefit patients with diabetes.

Indexed as

COVID-19Diabetes Mellitus, Type 2BiomarkersChemokine CXCL10CytokinesHumansInflammationInterleukin-6Interleukin-8SARS-CoV-2BiomarkersChemokine CXCL10CytokinesInterleukin-6Interleukin-8chemokinesCXCL10cytokine stormdeathIL-6 inhibitorinnate immunitySARS-CoV-2type 2 diabetes

Identifiers

PMID34999821
PMCPMC8755390
OpenAlexW4205573865

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.