Review
Published: 2023-11-29
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COVID-19: detection methods in post-mortem samples

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;
Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;
Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;
Universidade de São Paulo, Faculdade de Medicina, Departamento de Patologia, São Paulo, Brazil
Universidade de São Paulo, Faculdade de Medicina, Departamento de Patologia, São Paulo, Brazil
Forensic Medicine Unit, “S. Giuliano” Hospital, Giugliano in Campania, Italy
Department of Experimental Medicine, University of Campania, Luigi Vanvitelli, Naples, Italy
Anatomic Pathology Unit, Department of Clinic and Experimental Medicine, University of Foggia, Foggia, Italy
Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università Vanvitelli
COVID-19 immunohistochemistry in situ hybridization autopsy samples

Abstract

COVID-19 identification is routinely performed on fresh samples, such as nasopharyngeal and oropharyngeal swabs, even if, the detection of the virus in formalin-fixed paraffinembedded (FFPE) autopsy tissues could help to underlie mechanisms of the pathogenesis that are not well understood. The gold standard for COVID-19 detection in FFPE samples remains the qRT-PCR as in swab samples, contextually other methods have been developed, including immunohistochemistry (IHC), and in situ hybridization (ISH). In this manuscript, we summarize the main data regarding the methods of COVID-19 detection in pulmonary and extra-pulmonary post-mortem samples, and especially the sensitivity and specificity of these assays will be discussed.

Introduction

The diagnosis of the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is currently based on the clinical manifestations associated with the detection of viral RNA by Real-Time Quantitative Reverse Transcription-PCR (qRT-PCR) in samples collected by nasopharyngeal and oropharyngeal swabs. To date, according to WHO recommendations, real time-PCR represents the gold standard technique to identify SARS-CoV-2 infection on swabs.

Although COVID-19 identification is routinely performed on fresh samples, the analysis of the virus on formalin-fixed paraffin-embedded (FFPE) autopsy tissues plays a pivotal role in understanding the biological characteristics and the pathogenesis of this infection.

The identification of SARS-CoV-2 on FFPE samples can be performed by several methods, including qRT-PCR, immunohistochemistry (IHC), and in situ hybridization (ISH) 1,2.

In the literature, various studies have analyzed SARS-CoV-2 in FFPE samples post-mortem using different methods (Tab. I). We summarize the advantages and limitations of different methods used for detection on post-mortem samples showing an overview of the main results currently reported about the sensitivity and specificity of these assays.

Real-Time Quantitative Reverse Transcription-PCR

The qRT-PCR is currently considered the gold standard approach for the identification of SARS-CoV-2 in nasopharyngeal and oropharyngeal swabs 21. This molecular analysis is based on the identification of viral RNA using specific primers and probes targeting viral nucleic acid sequences of interest 22 (Fig. 1).

The main viral targets analyzed by qRT-PCR include genes encoding spike (S), nucleocapsid (N), envelope (E), open reading frame 1ab (ORF1ab) and RNA proteins RNA-dependent polymerase (RdRp) 23.

The qRT-PCR is a reliable and fast molecular test, producing results within hours with high throughput 2,24.

The qRT-PCR is highly sensitive for the identification of COVID-19 in swab samples; however, it can be affected by the poor quality and high fragmentation index of the nucleic acid in FFPE samples 3.

The qRT-PCR kits for SARS-CoV-2 detection include generally reverse transcription and amplification enzymes, primer sets and probes for amplification of viral genome’s target regions, and various controls, such as negative, positive, internal controls 25.

The qRT-PCR assay is preceded by the isolation and purification of the total RNA that is used for a reverse transcription (RT) reaction to the synthesis of complementary DNA (cDNA) of target regions used for qPCR reaction 26,27.

The assay is based on the use of TaqMan probes that bind exclusively to the target segment allowing to quantify the cDNA amplification in real-time based on the number of amplification cycles (Ct value) 28,29.

According to World Health Organization (WHO) guidelines, the qRT-PCR on fresh samples is considered positive if at least two viral target genes are amplified, while if only one viral gene is amplified the result is considered equivocal, and the test should be repeated.

The test is negative when all viral genes are not amplified, instead the absence of gene control amplification suggests an invalid analysis due to incorrect sampling or PCR inhibition 25,30. These criteria have also been applied for interpretation of SARS-CoV-2 qRT-PCR in FFPE samples 9-11,14.

The Ct value to define a sample COVID-19 positive may be variable between different laboratories according to the kit and the protocol used for the test. The equivocal Ct values ranging from 37 to 40 involve repeating the analysis in order to avoid false results 31,32. The kits used for qRT-PCR include various primer-probe sets targeting different segments of the SARS-CoV-2 genome thus different specificities and sensitivities have been reported in FFPE series 32,33.

Previous data showed no significant differences in qRT-PCR results in terms of Ct values between fresh tissues and FFPE 34.

The qRT-PCR shows high sensitivity for the identification of SARS-CoV-2 in FFPE samples, although, the test can be affected by pre-analytical problems associated with FFPE samples, such as fixation times and high degree of nucleic acid fragmentation. Moreover, this molecular approach is not useful for the subcellular localization of the virus since the overall tissue architecture is lost.

In situ hybridization

The ISH is a method that identifies the presence of the SARS-CoV-2 in FFPE samples allowing the definition of the virus’s localization, and the types of cells infected while preserving the morphology of the samples 35,36.

ISH is based on the use of nucleic acid probes that bind the complementary sequences that are revealed through the 3,3’-diaminobenzidine tetrahydrochloride (DAB) staining (Fig. 2).

To date, three probes for SARS-CoV-2 detection have been developed by RNAscope technology, particularly probes targeting the spike (S, nt 21,563-25,384), nucleocapsid (N, nt 28,274-29,533), and open reading frame 1ab (ORF1ab, nt 266-13,467) 37,38 (Fig. 3).

RNAscope technology uses innovative probes consisting of two independent probes (double Z probes) that hybridize to the target sequence in tandem for signal amplification to occur.

Although previous data showed that SARS-CoV-2 ISH have low sensitivity especially in samples with a low viral load 9, this assay can provide information related to the cellular distribution of virus 39.

The majority of the published studies have analyzed by ISH exclusively the SARS-CoV-2 S, and few data have been reported for N and ORF1ab 1,3,7-16,19.

The studies that examined SARS-CoV-2 by ISH have analyzed different types of organs, but positivity for the virus was mainly identified in lung tissue, in particular spike RNA has been detected in pneumocytes, alveolar cells, hyaline membranes rather than in endothelial cells 1,8,11 (Tab. II).

The sensitivity and specificity of ISH compared to qRT-PCR for detecting SARS-CoV-2 on postmortem lung specimens in two studies were 36-46% and 100%, respectively 3,9, while Massoth et al reported a sensitivity of 86.7% and a specificity of 100% 11 (Tab. III).

Immunohistochemistry

SARS-CoV-2 identification can be performed by immunohistochemistry (IHC) using specific antibodies that have been developed for the S and N proteins (Fig. 4).

The main advantage of this technique is the possibility of localizing the virus in specific cells allowing to understand the correlation with etiopathogenesis. Furthermore, the widespread adoption of IHC in the majority of the pathology unit implies easier use of this assay for SARS-CoV-2 detection in post-mortem samples.

To date, various antibodies are commercially available for the identification of SARS-CoV-2, in particular anti-S (clone 1A9), and anti-N (clone 6F10 and clone 4B21) (Fig. 3).

The anti-N antibody clone 6F10 showed high sensitivity and specificity for virus detection 40.

The studies that analyzed SARS-CoV-2 by IHC in lung post-mortem tissue showed the following localization of the virus: intraalveolar cells, bronchiolar airways, and hyaline membranes.

The sensitivity and specificity of S IHC for detecting SARS-CoV-2 on post-mortem lung specimens compared to qRT-PCR ranging from 55.5% to 62.5% and 100%, respectively. Similarly, N IHC showed a sensitivity of 64.7% and specificity of 100% 7. Several studies have performed IHC SARS-CoV-2 not only in lung tissue, but also in other sites showing a sensitivity of 62-66% and a specificity of 87-100% 7,12 (Tab. IV).

The discordant results between qRT-PCR and IHC for the detection of SARS-CoV2 in the lungs and other sites demonstrate a low sensitivity of IHC 6,13,18 (Tab. V).

Most studies reported a concordance between IHC and ISH results both in terms of sensibility and specificity 10. Moreover, the expression of S and N SARS-CoV-2 IHC was consistent with the RNA-ISH assay regarding the topographic localization, including especially the hyaline membrane and intra-alveolar region 10.

Conclusion

COVID-19 is primarily a respiratory disease, although recent studies have shown that it can also affect multiple sites leading to the development of extra-pulmonary symptoms. In particular, the emerging literature has shown that SARS-CoV-2 can affect several sites beyond the pulmonary district, leading to numerous clinical presentations 41.

Histopathological studies have reported organ-tropism of SARS-CoV-2 beyond the respiratory tract, including renal, neurological, gastrointestinal, and myocardial tropism 42, suggesting an influence of disease course and aggravation of pre-existing conditions.

In this context, the evaluation of post-mortem biomaterial by different assays, i.e., IHC and ISH, improve the knowledge about the pathophysiology of COVID-19 disease. Since autopsy biomaterial can be subjected to many pre-analytical limitations, optimization of methods to identify the virus on these specimens is needed.

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

FUNDING

None.

ETHICAL CONSIDERATION

None

AUTHORS’ CONTRIBUTIONS

RF: manuscript conception, IT and FZM: writing, AR, ANDN, MD, MM, CPC, GP: reviewing.

Figures and tables

Figure 1.Workflow qRT-PCR COVID-19 detection in post-mortem samples. qRT-PCR of SARS-CoV-2 RNA from FFPE post-mortem biomaterial and preparation of the mix for analysis. Detection of N, S, ORF1ab and RNase P genes. qRT-PCR, Real-Time Quantitative Reverse Transcription-PCR; ORF1ab, Open reading frame 1ab; N, Nucleocapsid; E, Envelope; S, Spike; M, Membrane; RNase P, Ribonuclease P; dsDNA, double strand DNA.

Figure 2.Workflow ISH assays to detect COVID-19 in post-mortem samples. Detection of SARS-CoV-2 N, S and ORF1ab genes using Z probes for in situ hybridization. Tissue pretreatment, hybridization of Z probe to RNA, binding of pre-amplifiers to probe and binding of amplicons to each pre-amplifier, followed by binding of chromogenic enzyme to amplicons and optical microscope visualization. FFPE, formalin-fixed paraffin-embedded; N, nucleocapsid; S, spike; ORF1ab, Open Reading Frame 1ab; ISH, In situ hybridization; DAB, 3,3′-Diaminobenzidine.

Figure 3.Representative results of immunohistochemistry (IHC) and in situ hybridization (ISH) for SARS-CoV-2 detection in pulmonary and extra-pulmonary post-mortem samples. Nucleocapsid IHC in lung tissue (A), Nucleocapsid IHC in brain tissue (B), Nucleocapsid IHC in heart tissue (C), Spike ISH in lung tissue (D), Spike ISH in liver tissue (E), Spike ISH in heart tissue (F).

Figure 4.Workflow IHC assays to detect SARS-CoV-2 in post-mortem samples. Detection of SARS-CoV-2 using antibody anti-N and anti-S for immunohistochemistry. Tissue pretreatment, binding of primary antibody to the S and N antigens, binding of a secondary antibody conjugated to horseradish peroxidase polymers (HRP) which provides an enzyme to convert DAB into a precipitate visible under optical microscope. FFPE, formalin-fixed paraffin-embedded; N, nucleocapsid; S, spike; IHC, immunohistochemistry; DAB, 3,3′-Diaminobenzidine.

ISH IHC RT-PCR References
Pulmonary NP Borczuk et al.1; Roden et al.3
NP NP Schaefer et al.4
NP Zhang et al.5; Remmelink, et al.6; Pesti A, et al.7
NP Desai et al.8; Zito Marino et al.9; Wang et al.10
Massoth et al.11; Macedo et al.12; Caniego Casas et al.13
NP Bhatnagar et al.14; Best Rocha et al.15
Heart NP Desai et al.8; Wang et al.10; Caniego Casas et al.13; Bhatnagar et al.14
Massoth et al.11
NP NP Roden et al.3
Liver NP Desai et al.8; Wang et al.10; Bhatnagar et al.14
Pesti et al.7¸ Massoth et al.11; Caniego Casas et al.13
NP Roden et al.3
Kidney NP Best Rocha et al. 15; Kudose et al.16
NP Desai et al.8; Wang et al.10; Bhatnagar et al.14; Caniego Casas et al.13
Massoth et al.11
Brain NP NP Remmelink et al.6
NP Matschke et al.17; Lebrun et al.18
Meinhardt et al.19
NP Bhatnagar et al.14
NP Roden et al.3
Spleen NP NP Remmelink et al.6
NP Bhatnagar et al.14
NP Wang et al.10
Bowels NP Desai et al.8
NP NP Remmelink, et al.6
Olfactory mucosa Meinhardt et al.19
Thyroids NP Bhatnagar et al.14
Macedo et al.12
Bone marrow NP Desai et al.8; Caniego Casas et al.13
Massoth et al.11
Pancreases NP Wang et al.10
Uterus NP Wang et al.10
Jejunum NP Desai et al.8
Adipose tissue NP Desai et al.8
Massoth et al.11
Bladder NP Bhatnagar et al.14
Testicles NP Duarte Neto et al.20
ISH, in situ hybridization; IHC, immunohistochemistry; RT-PCR, reverse transcription polymerase chain reaction; NP, not performed.
Table I.Methods for detection of SARS-CoV-2 in the literature‥
SARS-CoV- 2 ISH
SITE S N ORF1ab References
+ - + - + -
Pulmonary 68 lungs 6/23 (26.1%) 17/23 (73.9%) NP NP NP NP Borczuk et al.1
27 lungs 12/27 (44.4%) 15/27 (55.6%) NP NP 2/27 (7.4%) 25/27 (92.6%) Zito Marino et al.9
Pulmonary and extra-pulmonary 17 kidneys 2/16 (12.5%) 14/16 (87.5%) NP NP NP NP Kudose et al.16
19 lungs 11/24 (45.8%) 13/24 (54.2%) NP NP NP NP Desai et al.8
7 hearts 0/31 (0) 31/31 (100%)
6 livers
1 jejunum
7 bowels
1 bone marrow
1 adipose tissue
1 skin
7 kidneys
19 lungs 13/19 (68%) 6/19 (32%) NP NP NP NP Massoth et al.11
heart 0/39 (0) 39/39 (100%)
liver
kidney
39 intestine
skins
Adipose tissue
Bone marrow
Pulmonary and extra-pulmonary 62 lungs 14/26 (53.8%) 12/26 (46.2%) NP NP NP NP Roden et al.3
20 hearts 0/23 (0) 23/23 (100%)
1 brain
1 liver
1 umbilical cord
30 Olfactory mucosae 2/14 (14.3%) 12/14 (85.7%) NP NP NP NP Meinhardt et al.19
24 brains 0/14 (0) 14/14 (100%)
6 lungs 6/6 (100%) 0/6 (0) 6/6 (100%) 0/6 (0) NP NP Wang et al.10
4 kidneys 1/4 (25%) 3/4 (75%) NP NP
6 hearts 0/19 (0) 19/19 (100%)
6 livers
3 spleens
3 pancreases
1 uterus
1 lymph node 1/1 (100%) 0/1 (0)
64 lungs 20/64 (31.3%) 44/64 (68.7%) 20/64 (31.3%) 44/64 (68.7%) NP NP Bhatnagar et al.14
32 hearts 5/32 (15.6%) 27/32 (84.4%) 5/32 (15.6%) 27/32 (84.4%)
brains
kidneys
bladders
thyroids
livers
spleens
pancreases
1 lung 1/1 (100%) 0/1 (0) NP NP NP NP Macedo et al.12
15 thyroids 8/15 (53.3%) 7/15 (46.7%)
27 lungs 3/27 (11.1%) 24/27 (88.9%) NP NP NP NP Caniego Casas et al.13
25 hearts 0/100 (0) 100/100 (100%)
25 kidneys
25 livers
25 bone marrow
20 lungs NP NP NP NP NP NP Pesti et al.7
20 livers 9/20 (45%) 11/20 (55%)
8 lungs 8/8 (100%) 0/8 (0) NP NP NP NP Best Rocha et al.15
1 placenta 1/1 (100%) 0/1 (0)
10 kidneys 0/10 (0) 10/10 (100%)
ISH, in situ hybridization; S, spike; N, nucleocapsid; ORF1ab, open reading frame; +, positive; -, negative; NP, not performed.
Table II.SARS-CoV-2 ISH.
Comparison of ISH vs RT-PCR
Site ISH RT-PCR SE SP References
S N ORF1ab
+ - + - + - + -
Pulmonary 27 lungs 12/27 (44.4%) 15/27 (55.6%) NP NP 2/27 (7.4%) 25/27 (92.6%) 27/27 (100%) 0/27 (0) 46% 100% Zito Marino et al.9
Pulmonary and extra-pulmonary 19 lungs 11/24 (45.8%) 13/24 (54.2%) NP NP NP NP 28/42 (66.6%) 14/42 (33.3%) NA NA Desai et al.8
7 hearts 0/24 (0) 24/24 (100%) NP NP NP NP 0/24 (0) 24/24 (100%) 100% 100%
6 livers
1 jejunum
1 bone marrow
1 adipose tissue
1 skin
7 kidneys
7 bowels 0/7 (0) 7/7 (100%) NP NP NP NP 1/7 (14.3%) 6/7 (85.7%)
19 lungs 13/19 (68%) 6/19 (32%) NP NP NP NP 19/19 (100%) 0/19 (0) 86.7% 100% Massoth et al.11
39 hearts 0/39 (0) 39/39 (100%) NP NP NP NP 0/39 (0) 39/39 (100%)
livers
kidneys
intestines
skins
adipose
tissue
bone marrow
30 olfactory mucosa 2/14 (14.3%) 12/14 (85.7%) NP NP NP NP 20/30 (66.7%) 10/30 (33.3%) NA NA Meinhardt et al.19
24 brains 0/14 (0) 14/14 (100%) NP NP NP NP 3/24 (12.5%) 21/24 (87.5%)
6 lungs 6/6 (100%) 0/6 (0) 6/6 (100%) 0/6 (0) NP NP 6/6 (100%) 0/6 (0) 100% 100% Wang et al.10
4 kidneys 1/4 (25%) 3/4 (75%) NP NP NP NP 1/4 (25%) 3/4 (75%) 100% 100%
6 hearts 0/6 (0) 6/6 (100%) NP NP NP NP 2/4 (50%) 2/4 (50%) NA NA
6 livers 0/13 (0) 13/13 (100%) NP NP NP NP 0/13 (0) 13/13 (100%) 100% 100%
3 spleens
3 pancreases
1 uterus
1 lymph node 1/1 (100%) 0/1 (0) NP NP NP NP 1/1 (100%) 0/1 (0) 100% 100%
64 lungs 20/64 (31.3%) 44/64 (68.7%) 20/64 (31.3%) 44/64 (68.7%) NP NP 32/64 (50%) 32/64 (50%) 62.5% 100% Bhatnagar et al.14
32 hearts 5/32 (15.6%) 27/32 (84.4%) 5/32 (15.6%) 27/32 (84.4%) NP NP 14/32 (43.8%) 18/32 (56.2%) 35.7% 100%
brains
kidneys
bladders
thyroids
livers
spleens
pancreases
1 lung 1/1 (100%) 0/1 (0) NP NP NP NP 1/1 (100%) 0/1 (0) 100% 100% Macedo et al.12
13 thyroids 8/13 (61.5%) 5/13 (38.5%) NP NP NP NP 13/15 (86.7%) 2/15 (13.3%) NA NA
27 lungs 3/27 (11.1%) 24/27 (88.9%) NP NP NP NP 26/27 (96.3%) 1/27 (3.7%) 11.5% 100% Caniego Casas et al.13
25 hearts 0/100 (0) 100/100 (100%) NP NP NP NP 0/100 (0) 100/100 (100%) 100% 100%
25 kidneys
25 livers
25 bones marrow
20 lungs NP NP NP NP NP NP 18/20 (90%) 2/20 (10%) NA NA Pesti et al.7
20 livers 9/20 (45%) 11/20 (55%) NP NP NP NP 13/20 (65%) 7/20 (35%) 61.5% 85.7%
SH, in situ hybridization; RT-PCR, reverse transcription polymerase chain reaction; S, spike; N, nucleocapsid; ORF1ab, open reading frame; SE, sensitivity; SP, specificity; +, positive; -, negative; NP, not performed; NA, not available.
Table III.Comparison of ISH vs RT-PCR.
SARS-CoV- 2 IHC
Site S N References
+ - + -
Pulmonary 7 lungs NP NP 5/7 (71.4%) 2/7 (28.6%) Schaefer et al.4
68 lungs 6/23 (26.1%) 17/23 (73.9%) NP NP Borczuk et al.1
Pulmonary and extra-pulmonary 17 kidneys 0 0 0 0 Kudose et al.16
17 lungs NP NP 11/17 (64.7%) 6/17 (35.3%) Remmelink et al.6
17 hearts NP NP NP NP
17 spleens
17 livers
17 bowels
17 kidneys
11 brains
40 brains 14/40 (35%) 26/40 (65%) 7/40 (17.5%) 33/40 (82.5%) Matschke et al.17
30 olfactory mucosa 5/14 (35.7%) 9/14 (62.3%) NP NP Meinhardt et al.19
24 brains 6/14 (42.8%) 8/14 (51.2%)
19 lungs NP NP 8/9 (89%) 1/9 (11%) Massoth et al.11
39 hearts NP NP 0/39 (0) 39/39 (100%)
livers
kidneys intestines
skin
adipose tissue
bone marrow
26 lungs 12/24 (50%) 12/24 (50%) NP NP Roden et al.3
20 hearts 0/23 (0) 23/23 (100%)
1 brain
1 liver
1 umbilical cord
11 testicles NP NP 11/11 (100%) 0/11 (0) Duarte Neto et al.20
1 lung 1/1 (100%) 0/1 (0) 1/1 (100%) 0/1 (0) Macedo et al.12
15 thyroids 8/15 (53.3%) 7/15 (46.7%) 9/15 (60%) 6/15 (40%)
27 lungs 3/27 (11.1%) 24/27 (88.9%) NP NP Caniego Casas et al.13
25 hearts NP NP NP NP
25 kidneys
25 livers
25 bone marrow
20 lungs 10/20 (50%) 10/20 (50%) 11/20 (55%) 9/20 (45%) Pesti et al.7
20 livers 4/20 (20%) 16/20 (80%) 15/20 (75%) 5/20 (25%)
8 lungs NP NP 8/8 (100%) 0/8 (0) Best Rocha et al.15
10 kidneys NP NP 0/10 (0) 10/10 (100%)
1 placenta NP NP 1/1 (100%) 0/1 (0)
IHC, immunohistochemistry; S, spike; N, nucleocapsid; +, positive; -, negative; NP, not performed.
Table IV.SARS-COV-2 IHC.
Comparison of IHC vs RT-PCR
Site IHC RT-PCR SE SP References
S N
+ - + - + -
Pulmonary 1 lung NP NP 1/1 (100%) 0/1 (0) 1/1 (100%) 0/1 (0) 100% 100% Zhang et al.5
Pulmonary and extra-pulmonary 17 lungs NP NP 11/17 (64.7%) 6/17 (35.3%) 16/17 (94.1%) 1/17 (5.9%) 68.7% 100% Remmelink et al.6
17 hearts NP NP NP NP 14/17 (82.4%) 3/17 (17.6%) NA NA
17 spleens NP NP NP NP 11/17 (64.7%) 6/17 35.3%)
17 livers NP NP NP NP 14/17 (82.4%) 3/17 (17.6%)
17 bowels NP NP NP NP 14/17 (82.4%) 3/17 (17.6%)
17 kidneys NP NP NP NP 10/17 (58.8%) 7/17 (41.2%)
11 brains NP NP NP NP 9/11 (81.8%) 2/11 (18.2%)
40 brains 14/40 (35%) 26/40 (65%) 7/40 (17.5%) 33/40 (82.5%) 13/27 (48.1%) 14/27 (51.9%) NA NA Matschke et al.17
30 olfactory mucosa 5/14 (35.7%) 9/14 (62.3%) NP NP 20/30 (66.7%) 10/30 (33.3%) NA NA Meinhardt et al.19
24 brains 6/14 (42.8%) 8/14 (51.2%) NP NP 3/24 (12.5%) 21/24 (87.5%) Massoth et al.11
19 lungs NP NP 8/9 (89%) 1/9 (11%) 19/19 (100%) 0/19 (0) NA NA
39 hearts NP NP 0/39 (0) 39/39 (100%) 0/39 (0) 39/39 (100%) 100% 100%
livers
kidneys
intestines
skin
adipose tissue
bone marrow
1 lung 1/1 (100%) 0/1 (0) 1/1 (100%) 0/1 (0) 1/1 (100%) 0/1 (0) 100% 100% Macedo et al.12
15 thyroids 8/15 (53.3%) 7/15 (46.7%) 9/15 (60%) 6/15 (40%) 13/15 (86.7%) 2/15 (13.3%) 61.5% 100%
27 lungs 3/27 (11.1%) 24/27 (88.9%) NP NP 26/27 (96.3%) 1/27 (3.7%) 11.5% 100% Caniego Casas et al.13
25 hearts NP NP NP NP 0/100 (0) 100/100 (100%) NA NA
25 kidneys
25 livers
25 bone marrow
11 testicles NP NP 11/11 (100%) 0/11 (0) 3/6 (50%) 3/6 (50%) NA NA Duarte Neto et al.20
20 lungs 10/20 (50%) 10/20 (50%) 11/20 (55%) 9/20 (45%) 18/20 (90%) 2/20 (10%) 60.1% 100% Pesti et al.7
20 livers 4/20 (20%) 16/20 (80%) 15/20 (75%) 5/20 (25%) 13/20 (65%) 7/20 (35%) 65.4% 85.7%
18 brains NP NP 1/18 (5.5%) 17/18 (94.5%) 18/18 (100%) 0/18 (0) 5.9% 0% Lebrun et al.18
IHC, immunohistochemistry; RT-PCR, reverse transcription polymerase chain reaction; S, spike; N, nucleocapsid; SE, sensitivity; SP, specificity; +, positive; -, negative; NP, not performed; NA, not available.
Table V.Comparison of IHC vs RT-PCR.

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Affiliations

$authorString->getOrcid() =>

$authorString->getFullName() => Ilaria Tedesco

$authorString->getUrl() =>

Ilaria Tedesco

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Federica Zito Marino

$authorString->getUrl() =>

Federica Zito Marino

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Andrea Ronchi

$authorString->getUrl() =>

Andrea Ronchi

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania “L. Vanvitelli”, Naples, Italy;
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Amaro Nunes Duarte Neto

$authorString->getUrl() =>

Amaro Nunes Duarte Neto

Universidade de São Paulo, Faculdade de Medicina, Departamento de Patologia, São Paulo, Brazil
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Marisa Dolhnikoff

$authorString->getUrl() =>

Marisa Dolhnikoff

Universidade de São Paulo, Faculdade de Medicina, Departamento de Patologia, São Paulo, Brazil
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Maurizio Municiò

$authorString->getUrl() =>

Maurizio Municiò

Forensic Medicine Unit, “S. Giuliano” Hospital, Giugliano in Campania, Italy
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Carlo Pietro Campobasso

$authorString->getUrl() =>

Carlo Pietro Campobasso

Department of Experimental Medicine, University of Campania, Luigi Vanvitelli, Naples, Italy
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Giuseppe Pannone

$authorString->getUrl() =>

Giuseppe Pannone

Anatomic Pathology Unit, Department of Clinic and Experimental Medicine, University of Foggia, Foggia, Italy
non esiste orcidID ""

$authorString->getOrcid() =>

$authorString->getFullName() => Renato Franco

$authorString->getUrl() =>

Renato Franco

Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università Vanvitelli
non esiste orcidID ""

Copyright

© Società Italiana di Anatomia Patologica e Citopatologia Diagnostica, Divisione Italiana della International Academy of Pathology , 2023

How to Cite

[1]
Tedesco, I., Zito Marino, F., Ronchi, A., Nunes Duarte Neto, A., Dolhnikoff, M., Municiò, M., Campobasso, C.P., Pannone, G. and Franco, R. 2023. COVID-19: detection methods in post-mortem samples. Pathologica - Journal of the Italian Society of Anatomic Pathology and Diagnostic Cytopathology. 115, 5 (Nov. 2023), 263-274. DOI:https://doi.org/10.32074/1591-951X-933.
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