Literature DB >> 33175911

The clinical value of minimal invasive autopsy in COVID-19 patients.

Valentino D'Onofrio1,2, Elena Donders2, Marie-Elena Vanden Abeele3, Jasperina Dubois4, Reinoud Cartuyvels5, Ruth Achten6,7, Martin Lammens7,8, Amelie Dendooven7,8,9, Ann Driessen7,8, Lukasz Augsburg10, Jan Vanrusselt10, Janneke Cox1,2.   

Abstract

BACKGROUND: Minimally invasive autopsy (MIA) is a validated and safe method to establish the cause of death (COD), mainly in low-resource settings. However, the additional clinical value of MIA in Coronavirus disease (COVID-19) patients in a high-resource setting is unknown. The objective was to assess if and how MIA changed clinical COD and contributing diagnoses in deceased COVID-19 patients. METHODS AND
FINDINGS: A prospective observational cohort from April to May 2020 in a 981-bed teaching hospital in the epicenter of the COVID-19 pandemic in Belgium was established. Patients who died with either PCR-confirmed or radiologically confirmed COVID-19 infection were consecutively included. MIA consisted of whole-body CT and CT-guided Tru-Cut® biopsies. Diagnostic modalities were clinical chart review, radiology, microbiology, and histopathology which were assessed by two independent experts per modality. MIA COD and contributing diagnoses were established during a multi-disciplinary meeting. Clinical COD (CCOD) and contributing diagnosis were abstracted from the discharge letter. The main outcomes were alterations in CCOD and contributing diagnoses after MIA, and the contribution of each diagnostic modality. We included 18 patients, of which 7 after intensive care unit hospitalization. MIA led to an alteration in 15/18 (83%) patients. The CCOD was altered in 5/18 (28%) patients. MIA found a new COD (1/5), a more specific COD (1/5), a less certain COD (1/5), or a contributing diagnosis to be the COD (2/5). Contributing diagnoses were altered in 14/18 (78%) patients: 9 new diagnoses, 5 diagnoses dismissed, 3 made more specific, and 2 made less certain. Overall, histopathology contributed in 14/15 (93%) patients with alterations, radiology and microbiology each in 6/15 (40%), and clinical review in 3/15 (20%). Histopathology was deemed the most important modality in 10 patients, radiology in two patients, and microbiology in one patient.
CONCLUSION: MIA, especially histological examination, can add valuable new clinical information regarding the cause of death in COVID-19 patients, even in a high-resource setting with wide access to premortem diagnostic modalities. MIA may provide important clinical insights and should be applied in the current ongoing pandemic. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT04366882.

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Year:  2020        PMID: 33175911      PMCID: PMC7657516          DOI: 10.1371/journal.pone.0242300

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Minimally invasive autopsy (MIA) is a validated tool to establish the cause of death, that has been studied mainly in resource-limited settings [1]. One of the advantages of MIA is its limited risk of disease transmission making it an ideal tool in the current coronavirus disease 2019 (COVID-19) pandemic [2, 3]. However, if it increases clinical knowledge in COVID-19 patients in high-resource settings remains unknown. We systematically performed MIA in deceased COVID-19 patients and assessed to which extent clinically relevant diagnoses changed, compared to premortem diagnoses.

Methods

This was a prospective observational cohort at Jessa hospital, Hasselt, Belgium. Patients with either severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) positivity or radiologically confirmed COVID-19 who died during hospitalization were consecutively included. Radiologically confirmed COVID-19 was defined as a person in whom PCR testing for COVID-19 is negative, but in whom the diagnosis is made on the basis of a suggestive clinical presentation AND a compatible CT-scan, according to the Belgian national guidelines. The researchers were notified by a mortuary staff member in case of new eligible patients. Autopsies of all included patients were performed maximally 24 hours after death. Relevant demographic data (age, sex, comorbidities, admission date and time of death) were collected from patient’s electronic medical file. Whole body 128-slice CT-scan was performed (Somatom go.top, Siemens Healthcare, Erlangen, Germany) followed by CT-guided Tru-Cut® biopsies. Four sterile lung biopsies were taken for microbiological examination and at least 2 biopsies from heart, lungs, liver, spleen, kidneys and abdominal fat for histological examination. Additional samples were taken when indicated. Each tissue was stained routinely with hematoxylin-eosin (H&E) and with ancillary staining when indicated. Lung tissue was inoculated on standard culture media for bacteria, yeasts and molds and microorganisms were identified by Matrix-assisted laser desorption ionization–time of flight mass spectrometry. SARS-CoV-2 real-time-PCR on lung tissue and IgG antibody detection was performed for all radiologically confirmed COVID-19 patients. The clinical cause of death (CCOD) and contributing diagnoses were abstracted from the discharge letter by an independent researcher who was not part of the team of clinical reviewers. Two clinicians, two radiologists, two microbiologists and two pathologists independently assessed the clinical files, the postmortem CT-scans, microbiological findings and histology slides respectively. The clinical file review included the discharge letter. The other diagnostic modalities were assessed blinded from the CCOD. During a multidisciplinary meeting the results of each diagnostic modality were presented, and the MIA cause of death (MCOD) and contributing diagnoses were formulated in consensus. Furthermore, the contribution of each diagnostic modality (clinical review, radiology, microbiology and histopathology) was assessed and ranked from most important to least important, or no contribution, during the meeting. Afterwards, the MCOD and contributing diagnoses were compared to the CCOD and contributing diagnoses. Alterations in CCOD and contributing diagnoses were specified. Descriptive statistics were used to report the proportion of diagnoses that were altered by MIA, how they were altered and how the different modalities contributed. Patients were included after oral informed consent was obtained from their legal representative. Oral consent was documented together with patient and legal representative contact information in a data file stored on a secured server in the hospital. Written consent of the legal representative could not be obtained due to visiting restrictions in the hospital during the pandemic. An information sheet containing the contact details of the researcher was send by registered mail. The study and the procedure for oral consent received ethical approval from the Ethics Committee of Jessa hospital and Hasselt University (Clinicaltrials.gov identifier: NCT 04366882).

Results

We included 18 out of 25 eligible patients (72%) between 14th of April and 12th of May, of which 15 were PCR SARS-CoV-2 and 3 radiologically confirmed. For the excluded patients, consent was declined by the legal representative (n = 4) or the legal representative could not be reached (n = 3). The median (interquartile range [IQR]) age was 80 years (72–84), 10/18 (56%) patients were male, median (IQR) Charlson Comorbidity index was 3 (1–4) and 12/18 (67%) patients had a no invasive-ventilation policy. In total 7/18 (39%) patients were admitted to the ICU at time of death and the median (IQR) time from admission to death was 18 days (5–22). All but 2 patients had respiratory failure (need for invasive ventilation or PaO2/FiO2 ratio <300) in the 24 hours preceding death. In the 72 hours before death, 9/18 (50%) patients received broad-spectrum antibiotics or antifungals and 13/18 (72%) anticoagulants. In 15/18 (83%) patients, MIA led to an alteration in CCOD or contributing diagnosis: in 5/18 patients the CCOD altered and in 14/18 a contributing diagnosis was changed (Table 1). MIA revealed the COD in one patient, i.e. radiological COVID-19 with severe pneumonia as CCOD was dismissed and heart failure revealed as MCOD. CCOD was made more specific in one patient and less certain in another. In two patients, conditions that were determined clinically as contributing diagnoses were deemed more relevant by MIA and assigned as the MCOD.
Table 1

Premortem clinical cause of death and contributing diagnoses and postmortem MIA cause of death and contributing diagnosis per patient.

PatientDisease duration LOS (days)ICU admission Invasive ventilationClinical COD Clinical contributing diagnosesMIA COD MIA contributing diagnoses MIA alteration
PCR confirmed COVID-19 patients
121YesCODRabdomyolysis with subsequent MOF including renal failure with dialysisRabdomyolysis eci with subsequent MOF including renal failure with dialysisConfirm
 20YesContributing diagnosesCOVID-19 severe pneumonia clinically improvingCOVID-19 severe pneumoniaConfirm
251YesCODSudden death eciSudden death eciConfirm
 44YesContributing diagnosesCOVID-19 severe pneumonia clinically improvingCOVID-19 severe pneumonia clinically improvingConfirm
 Minor intracerebral bleedingNew
 SepsisNew
341NoCODAcute on chronic renal failureAcute on chronic renal failure due to crescentic glomerulonephritisMore specific
 23NoContributing diagnosesCOVID-19 infection, clinical uncertainty if pneumoniaCOVID-19 severe pneumoniaMore specific
 Bacterial co-infection highly suspectedDismiss
48NoCODCOVID-19 severe pneumoniaMassive pulmonary embolismConfirm (Assign as immediate COD)
 7NoContributing diagnosesMassive pulmonary embolismCOVID-19 severe pneumoniaConfirm
 Hepatitis eciRight sided heart failure leading to severe sinusoidal dilatation in the liverMore specific
5UnkownYesCODIntracerebral bleedingIntracerebral bleedingConfirm
 20YesContributing diagnosesRenal failure eci leading to dialysisRenal failure due to ATN leading to dialysisMore specific
 COVID-19 severe pneumoniaCOVID-19 severe pneumoniaConfirm
 SteatohepatitisNew
627NoCODCOVID-19 severe pneumoniaCOVID-19 severe pneumoniaConfirm
 17NoContributing diagnosesAcute on chronic renal failureNo renal biopsy performed-
 Left-and right sided heart failureNew
 SubileusNew
718NoCODProbable invasive Aspergillus fumigatus pulmonary infectionCOVID-19 severe pneumoniaConfirm (Assign as immediate COD)
 17NoContributing diagnosesCOVID-19 severe pneumoniaProbable invasive Aspergillus fumigatus pulmonary infectionLess certain
 Cerebral B-cell lymphomaCerebral B-cell lymphomaConfirm
8UnkownNoCODSmall cell lung carcinoma with metastasisSmall cell lung carcinoma with metastasisConfrim
 4NoContributing diagnosesCOVID-19—mild illnessCOVID-19—mild illnessConfirm
 Pancreatitis eciNew
93NoCODCOVID-19 severe pneumoniaCOVID-19 severe pneumoniaConfirm
 1NoContributing diagnosesBacterial COPD excacerbationDismiss
1018YesCODIntracranial bleeding with subdural hematomaIntracranial bleeding with subdural hematomaConfirm
 3NoContributing diagnosesCOVID-19 severe pneumoniaCOVID-19 severe pneumoniaConfirm
1132YesCODPara-tracheal bleeding eci while on anticoagulant therapy for DVT and AFPara-tracheal bleeding eci while on anticoagulant therapy for DVT and AFConfirm
 26NoContributing diagnosesCOVID-19 severe pneumoniaCOVID-19 severe pneumoniaConfirm
1228YesCODCOVID-19 severe pneumoniaCOVID-19 severe pneumoniaConfirm
 24NoContributing diagnosesHospital acquired pneumoniaHospital acquired pneumoniaLess certain
13UnkownNoCODHemorrhagic and semi recent ischemic cerebrovascular accidentHemorrhagic and semi recent ischemic cerebrovascular accidentConfirm
 19NoContributing diagnosesDepression with refusal of food and medical interventionsDepression with refusal of food and medical interventionsConfirm
 COVID-19—mild illnessCOVID-19—mild illnessConfirm
 Bacterial pneumoniaNew
14UnkownYesCODCOVID-19 pneumoniaCOVID-19 pneumoniaConfirm
 22NoContributing diagnosesHospital acquired pneumoniaDismiss
 Left- and right sides heart failureNew
1512NoCODCOVID-19 PneumoniaCOVID-19 PneumoniaConfirm
 65NoContributing diagnosesPost-anoxic encephalopathy after out-of-hospital cardiac arrestPost-anoxic encephalopathy after out-of-hospital cardiac arrestConfirm
 Hospital acquired pneumoniaDismiss
Radiologivally confirmed COVID-19 patients
16UnkownNoCODRadiological COVID-19 severe pneumonia with negative SARS-CoV-2 PCRLeft-and right sided heart failureDismiss/New
 6NoContributing diagnosesPseudoaneurysma left femoral arteryPseudoaneurysma left femoral arteryConfirm
171NoCODRadiological COVID-19 severe pneumonia with negative SARS CoV-2 PCRViral pneumoniaLess certain
 1NoContributing diagnosesLeft- and right sided heart failureNew
1811NoCODBacterial PneumoniaBacterial pneumoniaConfirm
 1NoContributing diagnosesLeft- and right sided heart failureLeft- and right sided heart failureConfirm
 Radiological COVID-19 severe pneumonia with negative SARS CoV-2 PCR consideredDismiss

Per patient, the COD is the first diagnosis given. Following diagnoses are contributing findings. eci: e causa ignota; MOF: multi-organ failure; COVID-19: corona viral disease 2019; ATN: acute tubules necrosis; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; PCR: polymerase chain reaction; COPD: chronic obstructive pulmonary diseases; DVT: deep venous thrombosis; AF: atrial fibrillation

Per patient, the COD is the first diagnosis given. Following diagnoses are contributing findings. eci: e causa ignota; MOF: multi-organ failure; COVID-19: corona viral disease 2019; ATN: acute tubules necrosis; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; PCR: polymerase chain reaction; COPD: chronic obstructive pulmonary diseases; DVT: deep venous thrombosis; AF: atrial fibrillation MIA revealed 9 new contributing diagnoses, 5 contributing diagnoses were dismissed after MIA, 3 made more specific, and 2 made less certain. For all 3 patients with radiologically confirmed COVID-19 both postmortem serology and PCR on lung tissue were negative. Two of these patients died of bacterial pneumonia and heart failure respectively, and the diagnosis COVID-pneumonia was completely dismissed. For the third patient, MIA concluded an unspecified viral pneumonia as MCOD. When considering only PCR confirmed COVID-19 patients, MIA led to an alteration in 12/15 (80%) patients: in 3/15 patients the CCOD was altered and in 12/15 a contributing diagnosis was changed. Bacterial pneumonia as clinical contributing diagnosis was dismissed in 3 patients and made less certain in one. Overall, MIA found bacterial or fungal pneumonia as relevant diagnosis in only 2/18 (11%) patients. When assessing the 15 patients in which MIA contributed to the final diagnoses, histopathology contributed in 14/15 (93%) patients, radiology and microbiology each in 6/15 (40%) patients, and clinical review in 3/15 (20%) patients. When ranked according to contribution, histopathology ranked first in 10 patients, and second and third in one patient each. Radiology was ranked first in 2 patients, and microbiology in 1 patient. In 2 patients, each modality contributed equally.

Discussion

MIA led to alterations in CCOD and contributing clinical diagnoses in 83% of deceased patients with either PCR-confirmed (15 patients) or radiologically confirmed (3 patients) COVID-19. Ten clinically relevant diagnoses were revealed. These included heart failure (four times), sepsis, and bacterial pneumonia, i.e. diagnoses that might have influenced clinical treatment when known premortem. In all patients with radiologically confirmed COVID-19, SARS-CoV-2 infection could not be confirmed with postmortem PCR or serology. In 2/3 radiologically confirmed COVID-19 patients, MIA dismissed the diagnosis of COVID-19 altogether, and in one, it made COVID-19 very unlikely. These were patients that were isolated and treated as COVID-19 patients, in line with the Belgian national guidelines [4]. International guidelines also include patients with typical chest findings as probable COVID-19 cases, as PCR testing for SARS-CoV-2 does not have 100% sensitivity [5, 6]. Although we included only 3 radiological COVID-19 patients, our results confirm the lack of specificity for COVID-19 on CT-scans [7] and emphasize the need for clinicians to remain alert in these cases, even amid a pandemic, and consider alternative diagnoses [7]. Overall, MIA found histopathological or microbiological evidence of bacterial or fungal superinfection in 11% of patients, yet 50% of patients were on antibiotic and/or antifungal treatment in the 72 hours before death. Even though MIA results could have been negatively influenced by concurrent antimicrobial treatment or sampling error (although sampling was done by CT-guidance), this observation is in line with others reporting low prevalence of co-infections [8-11]. This is of relevance as antimicrobial overuse leads to resistance, toxicity and unnecessary costs. Histopathology was the diagnostic modality within MIA that most often contributed to the final conclusion, and therefore considered the most relevant part of MIA. Radiology was found to have less impact. This may be partly explained by the fact that 6/18 (33%) of patients had a CT-scan 48 hours prior to death, showing relevant findings in all six. Therefore, if CT-scanning was not as widely available premortem, it would have had a higher postmortem yield. Inherent to its technique, MIA may not be able to detect all clinically relevant findings. For example, for pulmonary embolism—an important complication in COVID-19 patients [12, 13]—MIA has insufficient sensitivity. Therefore, complete autopsies remain the gold standard to establish the COD. However, complete autopsy rates have been decreasing in high-income setting over the last decades [14], with likely simultaneous loss of expertise and facilities to perform complete autopsies. Moreover, acceptance of MIA by relatives may be higher when compared to complete autopsy [1]. Lastly, in the beginning of the COVID-19 pandemic, there was uncertainty about the safety of performing complete autopsies and reluctance to perform them [3, 15, 16]. Therefore, we think MIA should be viewed as an additional method to gain clinically relevant insights, especially when complete autopsies are not feasible. One of the strengths of this study is the prospective and consecutive inclusion of patients for autopsy, and thus the absence of selection based on disease severity. On the other hand, this study has some limitations. First, sampling was limited to certain organs, e.g. we found in 33% of our patients relevant radiological abnormalities in the brain but because the brain was not biopsied, a more precise diagnosis could not be made. Second, some patients had treatment restrictions during admission, limiting diagnostic and therapeutic management during life, which may have biased our findings. Furthermore, discharge letters may not provide the complete clinical picture premortem, although the postmortem clinical file review only contributed to the MIA final diagnosis in 3/18 patients. Lastly, the distinction between COD and contributing diagnosis is often artificial. Patients die as a result of a cascade of events, influenced by numerous external factors. A list of diagnoses cannot simply reflect the disease complexity [17]. Our study shows that MIA adds clinically relevant information on COD and contributing diagnoses in COVID-19 patients in a majority of patients, also in a high-technological setting. More accurate diagnoses provide a better knowledge on what diseases eventually cause death in COVID-19 patients and informs and improves future care. For that purpose, MIA can be applied in the current ongoing pandemic.
  12 in total

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Authors:  Timothy M Rawson; Luke S P Moore; Nina Zhu; Nishanthy Ranganathan; Keira Skolimowska; Mark Gilchrist; Giovanni Satta; Graham Cooke; Alison Holmes
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Review 2.  Autopsy in suspected COVID-19 cases.

Authors:  Brian Hanley; Sebastian B Lucas; Esther Youd; Benjamin Swift; Michael Osborn
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3.  Validity of a Minimally Invasive Autopsy for Cause of Death Determination in Adults in Mozambique: An Observational Study.

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4.  Co-infections in people with COVID-19: a systematic review and meta-analysis.

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5.  Safe management of bodies of deceased persons with suspected or confirmed COVID-19: a rapid systematic review.

Authors:  Sally Yaacoub; Holger J Schünemann; Joanne Khabsa; Amena El-Harakeh; Assem M Khamis; Fatimah Chamseddine; Rayane El Khoury; Zahra Saad; Layal Hneiny; Carlos Cuello Garcia; Giovanna Elsa Ute Muti-Schünemann; Antonio Bognanni; Chen Chen; Guang Chen; Yuan Zhang; Hong Zhao; Pierre Abi Hanna; Mark Loeb; Thomas Piggott; Marge Reinap; Nesrine Rizk; Rosa Stalteri; Stephanie Duda; Karla Solo; Derek K Chu; Elie A Akl
Journal:  BMJ Glob Health       Date:  2020-05

6.  Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis.

Authors:  F A Klok; M J H A Kruip; N J M van der Meer; M S Arbous; D Gommers; K M Kant; F H J Kaptein; J van Paassen; M A M Stals; M V Huisman; H Endeman
Journal:  Thromb Res       Date:  2020-04-30       Impact factor: 3.944

7.  Pulmonary post-mortem findings in a series of COVID-19 cases from northern Italy: a two-centre descriptive study.

Authors:  Luca Carsana; Aurelio Sonzogni; Ahmed Nasr; Roberta Simona Rossi; Alessandro Pellegrinelli; Pietro Zerbi; Roberto Rech; Riccardo Colombo; Spinello Antinori; Mario Corbellino; Massimo Galli; Emanuele Catena; Antonella Tosoni; Andrea Gianatti; Manuela Nebuloni
Journal:  Lancet Infect Dis       Date:  2020-06-08       Impact factor: 25.071

Review 8.  Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis.

Authors:  Bradley J Langford; Miranda So; Sumit Raybardhan; Valerie Leung; Duncan Westwood; Derek R MacFadden; Jean-Paul R Soucy; Nick Daneman
Journal:  Clin Microbiol Infect       Date:  2020-07-22       Impact factor: 8.067

9.  Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.

Authors:  Harrison X Bai; Ben Hsieh; Zeng Xiong; Kasey Halsey; Ji Whae Choi; Thi My Linh Tran; Ian Pan; Lin-Bo Shi; Dong-Cui Wang; Ji Mei; Xiao-Long Jiang; Qiu-Hua Zeng; Thomas K Egglin; Ping-Feng Hu; Saurabh Agarwal; Fang-Fang Xie; Sha Li; Terrance Healey; Michael K Atalay; Wei-Hua Liao
Journal:  Radiology       Date:  2020-03-10       Impact factor: 11.105

10.  Impact of implementation of an individualised thromboprophylaxis protocol in critically ill ICU patients with COVID-19: A longitudinal controlled before-after study.

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Journal:  Thromb Res       Date:  2020-07-22       Impact factor: 3.944

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Review 2.  The pulmonary pathology of COVID-19.

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Journal:  Virchows Arch       Date:  2021-02-19       Impact factor: 4.064

3.  Minimally Invasive Tissue Sampling Findings in 12 Patients With Coronavirus Disease 2019.

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4.  Studying the clinical, radiological, histological, microbiological, and immunological evolution during the different COVID-19 disease stages using minimal invasive autopsy.

Authors:  Valentino D'Onofrio; Lotte Keulen; Annelore Vandendriessche; Jasperina Dubois; Reinoud Cartuyvels; Marie-Elena Vanden Abeele; Judith Fraussen; Patrick Vandormael; Veerle Somers; Ruth Achten; Amélie Dendooven; Ann Driessen; Lukasz Augsburg; Niels Hellings; Martin Lammens; Jan Vanrusselt; Janneke Cox
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Authors:  Victor Mudenda; Chibamba Mumba; Rachel C Pieciak; Lawrence Mwananyanda; Charles Chimoga; Benard Ngoma; Zacharia Mupila; Geoffrey Kwenda; Leah Forman; Rotem Lapidot; William B MacLeod; Donald M Thea; Christopher J Gill
Journal:  Clin Infect Dis       Date:  2021-12-15       Impact factor: 9.079

6.  Organ-specific genome diversity of replication-competent SARS-CoV-2.

Authors:  Willem van Snippenberg; Laurens Lambrechts; Jolien Van Cleemput; Amélie Dendooven; Valentino D'Onofrio; Liesbeth Couck; Wim Trypsteen; Jan Vanrusselt; Sebastiaan Theuns; Nick Vereecke; Thierry P P van den Bosch; Martin Lammens; Ann Driessen; Ruth Achten; Ken R Bracke; Wim Van den Broeck; Jan Von der Thüsen; Hans Nauwynck; Jo Van Dorpe; Sarah Gerlo; Piet Maes; Janneke Cox; Linos Vandekerckhove
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8.  Minimally Invasive Tissue Sampling as an Alternative to Complete Diagnostic Autopsies in the Context of Epidemic Outbreaks and Pandemics: The Example of Coronavirus Disease 2019 (COVID-19).

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Review 9.  [Practical aspects of COVID-19 autopsies].

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  9 in total

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