Evidence map›Paper›PMID 34510338›Full record

ArticleGeroScience2021

A COVID-19-association-dependent categorization of death causes in 100 autopsy cases.

Krisztina Danics, Adrián Pesti, Klára Törő, Noémi Kiss-Dala, János Szlávik, Botond Lakatos, Andrea Radnai, Tamás Balázs, Miklós Bacskai, Deján Dobi and 6 more

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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  11. The end of the COVID-19 pandemic.European journal of clinical investigation · 2022
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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

16 authors at 2 institutions in 1 country.

Krisztina DanicsDepartment of Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Adrián Pesti2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Klára TörőDepartment of Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Noémi Kiss-DalaCentral Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
János SzlávikCentral Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
Botond LakatosCentral Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
Andrea RadnaiHeathware Consulting Ltd, Budapest, Hungary.
Tamás BalázsHeathware Consulting Ltd, Budapest, Hungary.
Miklós BacskaiHeathware Consulting Ltd, Budapest, Hungary.
Deján Dobi2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Tibor Várkonyi2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Tibor Glasz2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Gábor Lotz2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
András Kiss2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Zsuzsa Schaff *2nd Department of Pathology, Semmelweis University, Budapest, Hungary. schaff.zsuzsa@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0002-6429-8059
István Vályi-Nagy *Central Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
Semmelweis University · HUNational Center for Epidemiology · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From March through December 2020, 100 autopsies were performed (Semmelweis University, Budapest, Hungary), with chart review, of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection demonstrated by real-time reverse-transcription polymerase chain reaction testing (mean age, 74.73 years, range 40-102 years; 50 males, mean age 71.96 years, and 50 females, mean age 77.5 years). Classified by the date of death, 21 cases were from the pandemic's "first wave" (March through July) and 79 from the "second wave" (August through December). Three mortality categories were defined by relevance of SARS-CoV-2 infection: (1) "strong" association (n=57), in which COVID-19 was primary responsible for death; (2) "contributive" association (n=27), in which a pre-existing condition independent of COVID-19 was primary responsible for death, albeit with substantial COVID-19 co-morbidity; (3) "weak" association (n=16), in which COVID-19 was minimally or not at all responsible for death. Distributions among categories differed between the first wave, in which the "contributive" association cases dominated (strong: 24%, contributive: 48%, weak: 28%), and the second wave, in which the "strong" association cases dominated (strong: 66%, contributive: 21%, weak: 13%). Charted co-morbidities included hypertension (85 %), cardiovascular diseases (71 %), diabetes (40 %), cerebrovascular diseases (31 %), chronic respiratory diseases (30 %), malignant tumors (20 %), renal diseases (19 %), diseases of the central nervous system (15 %), and liver diseases (6 %). Autopsy evaluation analyzed alterations on macroscopy as well as findings on microscopy of scanned and scored sections of formalin-fixed, paraffin-embedded tissue samples (50-80 blocks/case). Severity of histological abnormalities in the lung differed significantly between "strong" and "contributive" (p<0.0001) and between "strong" and "weak" categories (p<0.0001). Abnormalities included diffuse alveolar damage, macrophage infiltration, and vascular and alveolar fibrin aggregates (lung), with macro- and microvascular thrombi and thromboemboli (lung, kidney, liver). In conclusion, autopsies clarified in what extent COVID-19 was responsible for death, demonstrated the pathological background of clinical signs and symptoms, and identified organ alterations that led to the death. Clinicopathologic correlation, with conference discussions of severity of co-morbidities and of direct pathological signs of disease, permitted accurate categorization of cause of death and COVID-19 association as "strong," "contributive," or "weak." Lung involvement, with reduced ventilatory capacity, was the primary cause of death in the "strong" and "contributive" categories. Shifts in distribution among categories, with "strong" association between COVID-19 and death dominating in the second wave, may reflect improved clinical management of COVID-19 as expertise grew.

Indexed as

COVID-19AgedAged, 80 and overAutopsyCause of DeathFemaleHumansLungMaleSARS-CoV-2AutopsyCause of deathCOVID-19HistopathologySARS-CoV-2

Identifiers

PMID34510338
PMCPMC8435112
OpenAlexW3201093659

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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.