Evidence map›Paper›PMID 39588785›Full record

ArticleJournal of medical virology2024

Indeterminate Result of Interferon-γ Release Assay-A Risk Factor of Mortality for COVID-19 and Non-COVID-19 Respiratory Infections.

Wenmin Tian, Zhongyu Han, Dongxue Shi, Hongli Wang, Haohao Tang, Zhenchao Wu, Yinmei Zhang, Liyan Cui, Ning Shen, Jiajia Zheng and 1 more

Abstract read
In one paragraph

Article in Journal of medical virology, 2024. 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.

No citing paper in PubMed yet.

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

11 authors.

Wenmin TianCenter for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.
Zhongyu HanDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, China.
Dongxue ShiCenter for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.
Hongli WangCenter for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.ORCID 0009-0000-4755-624X
Haohao TangCenter for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.
Zhenchao WuDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China.
Yinmei ZhangDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, China.
Liyan CuiDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, China.
Ning ShenDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China.ORCID 0000-0003-2352-0677
Jiajia ZhengDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, China.
Yang ChenCenter for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.

Funding

This work is supported by National Key Research and Development Program of China (2023YFF0613402), Young Scientists Fund of the National Science Foundation of China (32301240), the Ministry of Science and Technology of the People's Republic of China (2022ZD0212900), the National Key Research and Development Program of China (2022YFC2303200), Peking University Third Hospital Talent Incubation Fund (BYSYFY2021024), Peking University Third Hospital Clinical Key Project Talent Program (BYSYZD2021041), and Research Funds from the Health@InnoHK Program launched by the Innovation Technology Commission of the Hong Kong Special Administrative Region.
6 · The paper itself

Abstract

Toward the end of 2022, the cessation of China's "dynamic zero-COVID policy" had led to a notable outbreak of SARS-CoV-2 infections and a substantial number of severe cases and deaths were reported, which raised serious concerns. Concurrently, our study identified a significant increase in the incidence of indeterminate results from the Interferon-γ Release Assay (IGRA) among hospitalized patients during this period. Peripheral T cells from these individuals were unable to produce measurable levels of IFN-γ upon stimulation with the PHA mitogen. This indeterminate IGRA results emerged as a potential risk factor for increased mortality among severely affected elderly COVID-19 patients, contributing to an understanding of the observed excess mortality. The deep serum proteomic analysis elucidated a dysfunctional immune response and defect in cardiac function of those patients. A predictive panel including IGRA results significantly enhanced the accuracy of predicting mortality outcomes in COVID-19 cases (AUC = 0.9762). We also extended the relevance of indeterminate IGRA outcomes as a risk factor for mortality to elderly non-COVID-19 respiratory infections, providing valuable prognostic insights into this type of disease and informing targeted and effective therapeutic interventions for similar outbreaks in the future.

Indexed as

COVID-19Interferon-gamma Release TestsAdultAgedAged, 80 and overChinaFemaleHumansInterferon-gammaMaleMiddle AgedPrognosisRespiratory Tract InfectionsRisk FactorsSARS-CoV-2Interferon-gammaCOVID‐19deep serum proteomicsindeterminate IGRAmortalityrespiratory infection

Identifiers

PMID39588785
PMCPMC11590174

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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.