Cited by 557COVID-19 Clinical Research StudiesAutopsy Techniques and OutcomesLong-Term Effects of COVID-19

Postmortem Examination of Patients With COVID-19

Open access
Schaller, Tina, Hirschbühl, Klaus, Burkhardt, Katrin, Braun, Georg, Trepel, Martin, Märkl, Bruno, Claus, Rainer·2020·JAMA

Abstract

Postmortem Examination of Patients With COVID-19Approximately 15% of individuals affected by coronavirus disease 2019 (COVID-19) develop severe disease, and 5% to 6% are critically ill (respiratory failure and/or multiple organ dysfunction or failure).1,2 Severely ill and critically ill patients have a high mortality rate, especially with older age and coexisting medical conditions.Because there are still insufficient data on cause of death, we describe postmortem examinations in a case series of patients with COVID-19.Methods | Between April 4 and April 19, 2020, we conducted serial postmortem examinations in patients with proven severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection who died at the University Medical Center Augsburg (Germany).Autopsies were conducted according to published best practice.3 Specimens from lung, heart, liver, spleen, kidney, brain, pleural effusion, and cerebrospinal fluid (CSF) were assessed.Postmortem nasopharyngeal, tracheal, bronchial swabs, pleural effusion, and CSF were tested for SARS-CoV-2 by reverse transcriptase-polymerase chain reaction.This study was approved by the local institutional review board, and written informed consent was obtained from next of kin.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jama.2020.8907

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Schaller, T., Hirschbühl, K., Burkhardt, K., Braun, G., Trepel, M., Märkl, B., & Claus, R.
Affiliations
University Hospital Augsburg (DE)
Corresponding author
Claus, Rainer
Venue
JAMA
Published
2020-06-23
Volume
323
Issue
24
Pages
2518
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W3028448736
Cited by
557
References
6
Citations by year
2026: 6 · 2025: 12 · 2024: 28 · 2023: 55 · 2022: 82 · 2021: 201 · 2020: 172
FWCI
16.73
Type
journal article
Language
en
Open access
Locations
  • JAMA (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • OPUS (Augsburg University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Autopsy Techniques and Outcomes
  • Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
Keywords
COVID-19 pandemic, SARS-CoV-2, autopsy, causes of death, autopsy findings, multiple organ failure, respiratory failure, critically ill patients, pleural effusion, cerebrospinal fluid
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Aged, Aged, 80 and over, Autopsy, Female, Humans, Liver, Lung, Male, Middle Aged, Myocardium, Pneumonia, Viral, Respiratory System, Coronavirus Infections, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review