Evidence map›Paper›PMID 35279033›Full record

ArticleTransplant infectious disease : an official journal of the Transplantation Society2022

Evolution of pathological findings in surveillance biopsies of lung transplant recipients infected with SARS-CoV-2.

Alexander N Wein, Jing Liu, Chieh-Yu Lin

Abstract read
In one paragraph

Article in Transplant infectious disease : an official journal of the Transplantation Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Evolution of pathological findings in surveillance biopsies of lung transplant recipients infected with SARS-CoV-2.Transplant infectious disease : an official journal of the Transplantation Society · 2022
    Article
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

3 authors.

Alexander N WeinDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-8813-3523
Jing LiuCardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Chieh-Yu LinDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-4269-3234

Funding

Washington University in St. Louis School of Medicine, Department funds
6 · The paper itself

Abstract

backgroundPrevious reports of coronavirus disease 2019 (COVID-19) following lung transplantation generally described a grim prognosis, but these were anecdotal case series of symptomatic patients. A systematic study of the outcomes and pathology of SARS-CoV-2 infection in a large cohort of lung transplant patients is lacking.

methodsTo determine the histopathologic evolution of COVID-19 in lung transplant recipients, we identified all patients who underwent surveillance transbronchial biopsies at our institution, tested positive for SARS-CoV-2, and had multiple pathology specimens available for evaluation. Histology was reviewed and immunofluorescence for SARS-CoV-2 nucleocapsid protein was performed.

resultsTen patients met inclusion criteria. Half (5/10) had incidental diagnosis on routine respiratory pathogen testing at the time of transbronchial biopsy. Six patients were hospitalized, with three requiring intensive care unit (ICU) admission. One patient died. Two specimens showed new onset International Society for Heart and Lung Transplantation (ISHLT) Grade A2 rejection at or following diagnosis. One patient developed bronchiolitis obliterans 111 days following diagnosis and 1 year post transplant. Two patients had organizing pneumonia at diagnosis and three patients showed evolving lung injury following diagnosis. The SARS-CoV-2 nucleocapsid protein was detected in a subset of samples at diagnosis and up to 111 days following diagnosis.

conclusionsOverall, the pathology of SARS-CoV-2 infection in lung transplant patients is varied, ranging from no pathologic alterations to organizing pneumonia and lung injury. The pathology findings did not necessarily correlate with clinical acuity, as one patient admitted to the ICU had normal pathology. These findings may be generalizable to non-transplant patients and require more follow-up regarding long-term outcomes.

Indexed as

COVID-19Lung InjuryBiopsyHumansLungNucleocapsid ProteinsPostoperative ComplicationsSARS-CoV-2Transplant RecipientsNucleocapsid ProteinsCOVID-19lung transplantpathologySARS-CoV-2

Identifiers

PMID35279033
PMCPMC9115334

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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.