Back

Fatal cases after Omicron BA.1 and BA.2 infection: Diffuse alveolar damage occurs only in a minority - results of an autopsy study

Maerkl, B.; Dintner, S.; Schaller, T.; Sipos, E.; Kling, E.; Miller, S.; Farfan, F. J.; Grochowski, P.; Reitsam, N.; Waidhauser, J.; Hirschbuehl, K.; Spring, O.; Fuchs, A.; Wibmer, T.; Boor, P.; Beer, M.; Wylezich, C.

2022-10-04 infectious diseases
10.1101/2022.10.02.22280609 medRxiv
Show abstract

Compared with previously prevalent variants of SARS-CoV-2, the Omicron lineages BA.1 and BA.2 are known to be associated with mild clinical courses. In addition, well-established animal models do not develop severe diseases. To address whether the supposedly fatal cases after Omicron-BA.1/2 infection show the known COVID-19 organ alterations, especially in the lungs, 23 full and 3 partial autopsies in the deceased with known Omicron BA.1/2 infections have been consecutively performed. Viral RNA was determined by RT-qPCR and RNA-in situ hybridization. The lineages were analyzed by whole genome sequencing or S-gene analysis. Despite high viral loads in almost all nasopharyngeal swabs and in 13 lung tissue samples, death caused by COVID-19-associated diffuse alveolar damage (DAD) in the acute and organizing stages was found in only eight cases (31%). This rate is significantly lower compared to previous studies, including non-Omicron variants, where rates of 92% and 69% for non-vaccinated and fully vaccinated vaccines were observed. It is of special interest that neither vaccination status nor known risk factors (i.e., age, comorbidities, obesity, immuno-suppression) were significantly associated with a direct cause of death by COVID-19. Only the reason for the hospital admission of the patients due to COVID-19-related symptoms showed a significant correlation with directly COVID-19-caused deaths (P < 0.001). DAD still occurred in the Omicron BA.1/BA.2 era of the SARS-CoV-2 pandemic but at a considerably lower frequency than seen with previous variants of concern. In our study, none of the known risk factors discriminated the cases with COVID-19-caused death from those that had COVID-19 infections but died due to a different disease. Therefore, the hosts genomics might play a key role in this regard. Further studies are urgently needed to elucidate the existence of a genomic mechanism as a risk factor for a fatal course.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Journal of Medical Virology
137 papers in training set
Top 0.1%
18.6%
2
Nature Communications
4913 papers in training set
Top 18%
10.1%
3
Scientific Reports
3102 papers in training set
Top 18%
6.4%
4
Frontiers in Immunology
586 papers in training set
Top 1%
6.3%
5
International Journal of Infectious Diseases
126 papers in training set
Top 0.3%
4.9%
6
Journal of Clinical Immunology
11 papers in training set
Top 0.1%
3.6%
7
Viruses
318 papers in training set
Top 2%
2.9%
50% of probability mass above
8
Frontiers in Medicine
113 papers in training set
Top 3%
2.1%
9
Clinical Microbiology and Infection
60 papers in training set
Top 0.4%
2.1%
10
Clinical Infectious Diseases
231 papers in training set
Top 2%
2.1%
11
eBioMedicine
130 papers in training set
Top 0.9%
1.9%
12
Vaccines
196 papers in training set
Top 1%
1.9%
13
EBioMedicine
39 papers in training set
Top 0.3%
1.7%
14
Microorganisms
101 papers in training set
Top 0.8%
1.7%
15
The Lancet Regional Health - Europe
32 papers in training set
Top 0.1%
1.7%
16
Infection
15 papers in training set
Top 0.1%
1.5%
17
Infectious Diseases
14 papers in training set
Top 0.1%
1.5%
18
Signal Transduction and Targeted Therapy
29 papers in training set
Top 0.9%
1.3%
19
Emerging Microbes & Infections
74 papers in training set
Top 1%
1.2%
20
PLOS ONE
4510 papers in training set
Top 62%
0.9%
21
The Journal of Infectious Diseases
182 papers in training set
Top 4%
0.9%
22
eLife
5422 papers in training set
Top 52%
0.9%
23
Nature Medicine
117 papers in training set
Top 4%
0.9%
24
Open Forum Infectious Diseases
134 papers in training set
Top 2%
0.8%
25
Cells
232 papers in training set
Top 6%
0.7%
26
Critical Care
14 papers in training set
Top 0.6%
0.7%
27
iScience
1063 papers in training set
Top 34%
0.7%
28
Cell Death Discovery
51 papers in training set
Top 2%
0.7%
29
Cell Research
49 papers in training set
Top 3%
0.6%
30
Modern Pathology
21 papers in training set
Top 0.6%
0.6%