Evidence map›Paper›PMID 34476173›Full record

ArticleClinical nephrology. Case studies2021

Kidney allograft infarction associated with transplant renal artery stenosis in a COVID-19 kidney transplant recipient.

Ekamol Tantisattamo, Donald C Dafoe, Antoney J Ferrey, Hirohito Ichii, Richard A Lee, Jonathan E Zuckerman, Anthony E Jr Sisk, Ted Farzaneh, Jack Guccione, Nii-Kabu Kabutey and 2 more

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In one paragraph

Article in Clinical nephrology. Case studies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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 2 countries.

Ekamol TantisattamoHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology, Hypertension and Kidney Transplantation, Department of Medicine, University of California Irvine School of Medicine, Orange.
Donald C DafoeDivision of Kidney and Pancreas Transplantation, Department of Surgery.
Antoney J FerreyHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology, Hypertension and Kidney Transplantation, Department of Medicine, University of California Irvine School of Medicine, Orange.
Hirohito IchiiDivision of Kidney and Pancreas Transplantation, Department of Surgery.
Richard A LeeDivision of Pulmonary Diseases and Critical Care Medicine, Department of Medicine, University of California Irvine School of Medicine, Orange.
Jonathan E ZuckermanDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles.
Anthony E Jr SiskDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles.
Ted FarzanehDepartment of Pathology and Laboratory Medicine, University of California, Irvine.
Jack GuccioneDepartment of Pathology and Laboratory Medicine, University of California, Irvine.
Nii-Kabu KabuteyDivision of Division of Vascular and Endovascular Surgery, Department of Surgery, University of California Irvine School of Medicine, Orange, and.
Kamyar Kalantar-ZadehHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology, Hypertension and Kidney Transplantation, Department of Medicine, University of California Irvine School of Medicine, Orange.
Uttam G ReddyHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology, Hypertension and Kidney Transplantation, Department of Medicine, University of California Irvine School of Medicine, Orange.
University of California, Irvine · USPancreas Centre (Canada) · CAUniversity of California, Los Angeles · USVA Long Beach Healthcare System · USOakland University · USUCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney allograft infarction is rare, but an urgent condition that requires prompt intervention to avoid allograft loss. Renal artery thrombosis is the leading cause of infarction. Apart from traditional risk factors for thrombosis, emerging SARS-CoV-2 predisposes patients to thrombotic diseases both in arterial and venous vasculatures. We report a case of kidney transplant recipient with known transplant renal artery stenosis (TRAS) status post angioplasty with severe COVID-19, complicated by oliguric acute kidney injury requiring continuous renal replacement therapy (CRRT). She did not have a history of thromboembolic disease. The hospital course was complicated by new-onset atrial and ventricular fibrillation and cardiac arrest requiring multiple rounds of cardiopulmonary resuscitation. She had no signs of renal recovery, and an abdominal CT scan showed evidence of allograft infarcts. She underwent an allograft nephrectomy. Pathology revealed diffuse thrombotic microangiopathy involving glomeruli, arterioles, and arteries associated with diffuse cortical infarction with negative SARS-CoV-2 immunostain and in situ hybridization. This is the first case of kidney allograft infarct with a history of TRAS in a COVID-19 patient. Underlying TRAS and COVID-19-associated thrombosis in this patient are unique and likely play a key role in allograft infarction from arterial thrombosis. Recognizing risk factors and early therapy for allograft infarction may improve transplant outcomes.

Indexed as

coronavirus disease 2019COVID-19kidney allograft infarctionkidney transplantationSARS-CoV-2severe acute respiratory syndrome coronavirus 2thromboembolismthrombosistransplant renal artery stenosis

Identifiers

PMID34476173
PMCPMC8387732
OpenAlexW3184711436

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.