Evidence map›Paper›PMID 40808960›Full record

Observational studyFrontiers in immunology2025

Risk factor analysis and outcomes of heart transplant recipients infected by COVID-19.

Lin Zhang, Sipeng Chen, Shanshan Zheng, Sheng Liu, Chenfei Rao, Zhongkai Liao, Xiaonan Fang, Xiaoying Hu, Jie Huang, Zhe Zheng

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2025. 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
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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

10 authors.

Lin ZhangDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Sipeng ChenNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Shanshan ZhengDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Sheng LiuDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chenfei RaoDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhongkai LiaoDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaonan FangDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaoying HuDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jie HuangDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhe ZhengDepartment of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the prevalence, clinical characteristics, severity, mortality, and outcomes of COVID-19 infection in heart transplant recipients, focusing on risk factors for severe disease. Methods: A retrospective, observational study was conducted on adult heart transplant patients (HTxs) at Fuwai Hospital from December 1, 2022, to February 28, 2023, with follow-up until May 30, 2024. Clinical data were collected via telephone surveys and medical records. Logistic regression analyses were conducted to explore risk factors for severe disease. Results: In total, 728 of the 916 HTxs were infected with COVID-19 (79.48%); the vaccination rate was 27.95%. Of infected cases, 56.18% were mild, 18.82% moderate, 19.26% severe, and 5.77% critical. Severe disease occurred in 25.00%, with a mortality rate of 4.54%. Logistic regression analyses revealed that age (OR 1.048, 95% CI 1.031-1.066, P<0.001), history of diabetes (OR 1.829, 95% CI 1.221-2.740, P=0.005), Chronic kidney disease stage≥3 (OR 2.557, 95% CI 1.650-3.963, P<0.001) and immunosuppressive regimens including sirolimus (OR 1.639, 95% CI 1.145-2.348, P=0.007) were independent risk factors for severe infection, while age (OR 1.102, 95% CI 1.053-1.154, P<0.001) and Chronic kidney disease stage≥3 (OR 6.342, 95% CI 2.980-13.499, P<0.001) were independent risk factors for post-infection mortality. COVID-19 vaccination (OR 0.169, 95% CI 0.039-0.733, P=0.018) was found to be a protective factor against post-infection mortality. Conclusion: COVID-19 vaccination is recommended for HTxs to reduce severe outcomes and mortality. Sirolimus use was independently associated with severe infection, highlighting the need for careful management of immunosuppression.

Indexed as

COVID-19Heart TransplantationSARS-CoV-2AdultAgedFemaleHumansImmunosuppressive AgentsMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsTransplant RecipientsImmunosuppressive AgentsCOVID-19 infectionCOVID-19 vaccineheart transplantationomicron variantrisk factorsseverity ratesirolimus

Identifiers

PMID40808960
PMCPMC12343243

What OpenQuestion holds

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LicenceCC BY
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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.