Evidence map›Paper›PMID 40675341›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2025

Post-COVID-19 cardiovascular disease risk in kidney transplant recipients.

Mary G Bowring, Kasama Manothummetha, Veraprapas Kittipibul, Lucy X Li, Robin K Avery, Willa Cochran, Sean Ellis, Ilan S Wittstein, Dorry L Segev, Christine M Durand and 2 more

Abstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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.

Mary G BowringDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Kasama ManothummethaDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Veraprapas KittipibulDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Lucy X LiDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Robin K AveryDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Willa CochranDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sean EllisDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Ilan S WittsteinDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Dorry L SegevDepartment of Surgery, New York University Grossman School of Medicine and Langone Health, New York, New York, USA; Department of Population Health, New York University Grossman School of Medicine and Langone Health, New York, New York, USA; Scientific Registry of Transplant Recipients, Minneapolis, Minnesota, USA.
Christine M DurandDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Daniel C BrennanDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nitipong PermpalungDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. Electronic address: npermpa1@jhmi.edu.

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
RESEARCH TRAINING IN MICROBIAL DISEASEST32AI007291 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOEL N BLANKSON, Sara Elizabeth Cosgrove · 1986 to 2026
$9.1M
Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
Leveraging a novel health records platform to predict the development of cardiovascular disease following kidney transplantationF30HL168842 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BOWRING, MARY GRACE · 2023 to 2025
$170k
NHLBI NIH HHS F30 HL168842NIAID NIH HHS K24 AI144954NIAID NIH HHS T32 AI007291NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Given the unique risk profile of kidney transplant recipients (KTRs), characterizing their cardiovascular disease (CVD) risk after COVID-19 remains critical for targeted management. We performed a retrospective analysis of 809 clinically diagnosed symptomatic COVID-19 events among 778 KTRs from a health system in Maryland (March 2020 to January 2024) to characterize incidence and risk factors of post-COVID-19 CVD. We followed KTRs until composite CVD (acute coronary syndrome, stroke, heart failure, and CVD-related death) occurrence, non-CVD-related death, or 1 year after COVID-19 and identified risk factors using least absolute shrinkage and selection operator-based subdistribution hazards regression. Incidence of post-COVID-19 CVD was 8.7% at 1 year (acute coronary syndrome, 2.7%; stroke, 1.4%; heart failure, 3.6%; and CVD-related death, 1.0%). KTRs with a CVD history had higher incidence than those without (19.1% vs 5.0%). Older age, Black race, Hispanic ethnicity, previous CVD, and COVID-19 hospitalization increased post-COVID-19 CVD risk; body mass index of >30 kg/m

Indexed as

Cardiovascular DiseasesCOVID-19Kidney TransplantationTransplant RecipientsAdultAgedFemaleHumansIncidenceMaleMarylandMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2cardiovascular diseaseCOVID-19kidney transplantation

Identifiers

PMID40675341
PMCPMC12329768

What OpenQuestion holds

Textmetadata
LicenceTDM
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.