Evidence map›Paper›PMID 33850271›Full record

ArticleScientific reports2021

Pattern of inflammatory immune response determines the clinical course and outcome of COVID-19: unbiased clustering analysis.

Eunyoung Emily Lee, Kyoung-Ho Song, Woochang Hwang, Sin Young Ham, Hyeonju Jeong, Jeong-Han Kim, Hong Sang Oh, Yu Min Kang, Eun Bong Lee, Nam Joong Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  6. The Saga of COVID-19 in Chronic Lung Disease: History Repeats Itself.Annals of the American Thoracic Society · 2024
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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

12 authors at 6 institutions in 1 country.

Eunyoung Emily Lee *Division of Rheumatology, Department of Internal Medicine, Uijeongbu Eulji Medical Center, Gyeonggi-do, Korea.
Kyoung-Ho Song *Division of Infectious Diseases, Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea.
Woochang HwangData Science for Knowledge Creation Research Center, Seoul National University, Seoul, Korea.
Sin Young HamDivision of Infectious Diseases, Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea.
Hyeonju JeongDivision of Infectious Diseases, Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea.
Jeong-Han KimDivision of Infectious Diseases, Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, Korea.
Hong Sang OhDivision of Infectious Diseases, Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, Korea.
Yu Min KangDepartment of Infectious Diseases, Myongji Hospital, Gyeonggi-do, Korea.
Eun Bong LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Nam Joong KimDivision of Infectious Diseases, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Bum Sik ChinDivision of Infectious Diseases, Department of Internal Medicine, National Medical Center, Euljiro 245, Jung-gu, Seoul, 04564, Korea. moberrer@nmc.or.kr.
Jin Kyun ParkDivision of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. jinkyunpark@gmail.com.
Seoul National University · KRSeoul National University Bundang Hospital · KRArmed Forces Capital Hospital · KRNational Medical Center · KRSeoul National University Hospital · KRSeoul National University of Education · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the study was to identify distinct patterns in inflammatory immune responses of COVID-19 patients and to investigate their association with clinical course and outcome. Data from hospitalized COVID-19 patients were retrieved from electronic medical record. Supervised k-means clustering of serial C-reactive protein levels (CRP), absolute neutrophil counts (ANC), and absolute lymphocyte counts (ALC) was used to assign immune responses to one of three groups. Then, relationships between patterns of inflammatory responses and clinical course and outcome of COVID-19 were assessed in a discovery and validation cohort. Unbiased clustering analysis grouped 105 patients of a discovery cohort into three distinct clusters. Cluster 1 (hyper-inflammatory immune response) was characterized by high CRP levels, high ANC, and low ALC, whereas Cluster 3 (hypo-inflammatory immune response) was associated with low CRP levels and normal ANC and ALC. Cluster 2 showed an intermediate pattern. All patients in Cluster 1 required oxygen support whilst 61% patients in Cluster 2 and no patient in Cluster 3 required supplementary oxygen. Two (13.3%) patients in Cluster 1 died, whereas no patient in Clusters 2 and 3 died. The results were confirmed in an independent validation cohort of 116 patients. We identified three different patterns of inflammatory immune response to COVID-19. Hyper-inflammatory immune responses with elevated CRP, neutrophilia, and lymphopenia are associated with a severe disease and a worse outcome. Therefore, targeting the hyper-inflammatory response might improve the clinical outcome of COVID-19.

Indexed as

ImmunityAdultAgedCluster AnalysisCOVID-19C-Reactive ProteinFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsRisk FactorsSARS-CoV-2C-Reactive Protein

Identifiers

PMID33850271
PMCPMC8044143
OpenAlexW3154713544

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.