Surveillance of hemorrhagic fever and/or neuroinvasive disease: challenges of diagnosis

Leonardo José Tadeu de Araújo Lorenzo Lang Gonzalez Lewis Fletcher Buss Juliana Mariotti Guerra David Salas Gomez Camila Santos da Silva Ferreira Cinthya Santos Cirqueira Fábio Ghillardi Steven S. Witkin Ester Cerdeira Sabino About the authors

ABSTRACT

OBJECTIVE

To evaluate the performance of post mortem laboratory analysis in identifying the causes of hemorrhagic fever and/or neuroinvasive disease in deaths by arbovirus infection.

METHODS

Retrospective cross-sectional study based on the differential analysis and final outcome obtained in patients whose samples underwent laboratory testing for arboviruses at the Pathology Center of the Adolfo Lutz Institute, in São Paulo, Brazil.

RESULTS

Of the 1355 adults clinically diagnosed with hemorrhagic fever and/or neuroinvasive disease, the most commonly attributed cause of death and the most common final outcome was dengue fever. Almost half of the samples tested negative on all laboratory tests conducted.

CONCLUSION

The failure to identify the causative agent in a great number of cases highlights a gap in the diagnosis of deaths of unknown etiology. Additional immunohistochemical and molecular assessments need to be added to the post-mortem protocol if all laboratory evaluations performed fail to identify a causative agent. While part of our findings may be due to technical issues related to sample fixation, better information availability when making the initial diagnosis is crucial. Including molecular approaches might lead to a significant advancement in diagnostic accuracy.

Autopsy. Hemorrhagic Fevers; Viral; etiology. Arbovirus Infections; mortality

INTRODUCTION

The Brazilian National Health System (SUS) surveillance system is responsible for investigating causes of death related to infectious diseases in the state of São Paulo11. Secretaria da Saúde do Estado de São Paulo, Coordenadoria de Controle de Doenças, Grupo Técnico Arborviroses; Grupo Técnico de Vigilância em Saúde, Subgrupo Arboviroses. Diretrizes para prevenção e controle das arboviroses urbanas no Estado de São Paulo. São Paulo: GTA, GTVS; 2017 [cited 2019 Oct 3]. Available from: http://www.cvs.saude.sp.gov.br/up/Diretrizes%20controle%20arboviroses%20ESP%20-%202017.pdf
http://www.cvs.saude.sp.gov.br/up/Diretr...
. When a diagnosis of the cause of death is uncertain, the system performs a post-mortem analysis encompassing all available clinical, laboratory and epidemiological evidence to assess possible etiological agents. This represents the final opportunity to establish the most likely diagnosis and subsequently alert public health officials to initiate improved surveillance measures.

Arboviruses (ARthropod-BOrne virus) are responsible for a large number of different infections with similar clinical manifestations, ranging from mild to severe febrile illnesses, hemorrhagic fever, and neuroinvasive diseases22. Vieira MACS, Costa CHN, Linhares AC, Borba AS, Henriques DF, Silva EVP, et al. Potential role of dengue virus, chikungunya virus and Zika virus in neurological diseases. Mem Inst Oswaldo Cruz. 2018;113(11):e170538. https://doi.org/10.1590/0074-02760170538
https://doi.org/10.1590/0074-02760170538...
. Several outbreaks have occurred in Brazil due to newly introduced or re-emerging arboviruses33. Lima-Camara TN. Emerging arboviruses and public health challenges in Brazil. Rev Saude Publica. 2016;50:36. https://doi.org/10.1590/S1518-8787.2016050006791
https://doi.org/10.1590/S1518-8787.20160...
,44. Lopes N, Nozawa C, Linhares REC. Características gerais e epidemiologia dos arbovírus emergentes no Brasil. Rev Pan-Amaz Saude. 2014;5(3):55-64. https://doi.org/10.5123/s2176-62232014000300007
https://doi.org/10.5123/s2176-6223201400...
, each representing a serious public health issue due to difficulties in containment, differential diagnosis and treatment. When caused by non-Arbovirus diseases, laboratory analysis play a pivotal role in the differential diagnosis of hemorrhagic fever (leptospirosis, spotted fever, hantavirus55. Bacon J, Carvalho MN, Diniz PC, Duani H, Machado DF, Mello MP, et al. Febres hemorrágicas. Rev Med Minas Gerais. 2008;18 (3 Supl 4):80-4.) and neuroinvasive diseases (such as meningitis, herpes, rabies66. Hotta H. [Neurotropic viruses--classification, structure and characteristics]. Nihon Rinsho. 1997;55(4):777-82. Japanese.).

This study evaluates the performance of post-mortem laboratory analysis in identifying the causes of deaths associated with hemorrhagic fever and/or neuroinvasive disease of unknown etiology in the state of São Paulo from 2009 to 2019.

METHODS

Study Design

This is a retrospective cross-sectional study conducted at the Pathology Center of the Adolfo Lutz Institute between January 2009 and February 2019. Patient records and laboratory results were accessed in the laboratory management systems (GAL and SIGH).

Referral Pathway

According to recommendations from the Ministry of Health, all suspected deaths must be investigated following the São Paulo State Protocol for the Investigation of Severe Cases and Deaths by Urban Arbovirus11. Secretaria da Saúde do Estado de São Paulo, Coordenadoria de Controle de Doenças, Grupo Técnico Arborviroses; Grupo Técnico de Vigilância em Saúde, Subgrupo Arboviroses. Diretrizes para prevenção e controle das arboviroses urbanas no Estado de São Paulo. São Paulo: GTA, GTVS; 2017 [cited 2019 Oct 3]. Available from: http://www.cvs.saude.sp.gov.br/up/Diretrizes%20controle%20arboviroses%20ESP%20-%202017.pdf
http://www.cvs.saude.sp.gov.br/up/Diretr...
, in which samples follow a designated laboratory flow chart (Figure 1). For the purpose of this study, we grouped the cases according to their initial proposed diagnosis, which was based on clinical, laboratory, epidemiological, and necroscopic information – typical basis for post-mortem laboratory analysis. After a multi-organ histopathological analysis, a second possible diagnosis may become evident, which then required further assessment of the immunohistochemistry findings (Figure 1).

Figure 1
Flow chart for the investigation of post mortem cases related to urban arboviruses at the Adolfo Lutz Institute.

Inclusion Criteria

Our study included patients whose samples underwent laboratory testing for any arbovirus, based on suspected cause of death. Samples were referred for laboratory confirmation if they were related to:

  • an urban arbovirus infection outbreak by clinical (regardless of disease progression or the duration of its acute phase) and epidemiological evidence77. Ministério da Saúde (BR), Secretaria de Vigilância em Saúde, Coordenação Geral de Desenvolvimento. Guia de vigilância em saúde. 3. ed. Brasília, DF; 2019 [cited 2020 Jan 10]. Available from: http://portalarquivos2.saude.gov.br/images/pdf/2019/junho/25/guia-vigilancia-saude-volume-unico-3ed.pdf
    http://portalarquivos2.saude.gov.br/imag...
    .

  • presumed non-arbovirus pathogens, not confirmed by laboratory testing, in which multi-organ histopathological analysis showed findings suggestive of arbovirus infection.

Clinical Samples and Laboratory Assays

For real-time PCR (qPCR), blood and multi-organ samples (Table 1) were collected during the necroscopic examination, immediately frozen, and sent to the Adolfo Lutz Institute. Multi-organ tissue fragments (Table 1) were also formalin-fixed, paraffin-embedded (FFPE)11. Secretaria da Saúde do Estado de São Paulo, Coordenadoria de Controle de Doenças, Grupo Técnico Arborviroses; Grupo Técnico de Vigilância em Saúde, Subgrupo Arboviroses. Diretrizes para prevenção e controle das arboviroses urbanas no Estado de São Paulo. São Paulo: GTA, GTVS; 2017 [cited 2019 Oct 3]. Available from: http://www.cvs.saude.sp.gov.br/up/Diretrizes%20controle%20arboviroses%20ESP%20-%202017.pdf
http://www.cvs.saude.sp.gov.br/up/Diretr...
, and subjected to histopathological assessment and complementary immunohistochemistry. Assays for chikungunya (Evandro Chagas Institute, Para, Brazil), influenza A/H1N1 virus (FluA/H1N1v) (CDC, Atlanta, USA) and Neisseria meningitidis (Adolfo Lutz Institute; São Paulo, Brazil) were performed following the standard operating procedures from the Laboratory of Anatomical Pathology of the Adolfo Lutz Institute. Table 1 presents a time lapse of the methods used in the study according to the pathogen and sample analyzed. Patients with clinical diagnosis of acute hemorrhagic fever syndrome (AHFS) were tested for dengue, yellow fever, leptospirosis, hantavirus and rickettsiosis (if there was epidemiological evidence), N. meningitidis (if meningitis was suspected by the physician). Patients with clinical diagnosis of severe acute respiratory syndrome (SARS) were tested for FluA/H1N1v.

Table 1
Laboratory methods applied to the surveillance of deaths with suspected arbovirus infection.

Statistical Analysis

Geographic characterization of the post-mortem cases was performed using the Quantum GIS v. 3.8.3 software; frequency and statistical analysis were performed using Excel (mean and standard deviation [SD]).

Ethics Statement

This study involved the analysis of routinely collected surveillance data, thus dispensing an Informed Consent Form, according to the Brazilian National Committee for Research Ethics. All procedures were approved by the Adolfo Lutz Institute’s Research Ethics Committee (CAAEE 96138818.0.0000.0059).

RESULTS

From the initial 1405 cases, we excluded those involving stillbirths and children under one, resulting in 1355 cases for analysis. Most cases (847, 62%) involved males, with a median (range) age of 40 (26–55) years.

Table 2 shows the most common diagnostic hypotheses related to the cause of death in these patients. Most samples were tested for dengue (76%), followed by leptospirosis (47%), yellow fever (29%), rickettsia (28%), hantavirus (24%), influenza (16%), chikungunya (4%) and zika virus (2%), with immunohistochemistry being the most frequently employed detection method (Table 3).

Table 2
Most common diagnostic hypotheses related to patient deaths associated with hemorrhagic fever and/or neuroinvasive disease of unknown etiology in the state of São Paulo from 2009 to 2019.
Table 3
Number of cases tested for each etiologic agent and the testing methods employed for diagnosing patient deaths associated with hemorrhagic fever and/or neuroinvasive disease of unknown etiology in the state of São Paulo from 2009 to 2019.

Table 4 presents the set of differential diagnostic tests employed. Even the high number of tests performed in these sets was insufficient to elucidate most cases, since almost half (48%) tested negative in all laboratory tests conducted, having to rely only on clinical and epidemiological findings for a resolution. Among those with a definitive final diagnosis, 145 (11%) tested positive for dengue, 140 (10%) for yellow fever, 89 (7%) for influenza and 79 (6%) for rickettsia (Table 5). Figure 2 shows the variation between the number of cases according to initial and final diagnosis, depicting the increase in the number of suspected and confirmed cases in specific years, as occurred for dengue, yellow fever and rickettsia outbreaks. The annual seasonal pattern of influenza outbreaks is also evident.

Table 4
Set of differential diagnostic tests according to the initial diagnosis of patient deaths associated with hemorrhagic fever and/or neuroinvasive disease of unknown etiology in the state of São Paulo from 2009 to 2019.
Table 5
Final outcomes of patient deaths associated with hemorrhagic fever and/or neuroinvasive disease of unknown etiology in the state of São Paulo from 2009 to 2019.

Figure 2
Variation in the number of cases according to the most common initial diagnosis and corresponding final diagnosis of deaths associated with hemorrhagic fever and/or neuroinvasive of unknown etiology in the state of São Paulo from 2009 to 2019.

DISCUSSION

Our findings based on the analysis of postmortem data from 1355 adults diagnosed with clinical syndromes suggesting arbovirus infection between 2009 and 2019 revealed that almost half of the cases did not reach a final diagnosis of the causative agent. This highlights the existence of a serious gap in the epidemiological surveillance of endemic and emerging infections in Brazil.

The set of diagnostic tests employed as part of the post-mortem protocol may therefore require additional immunohistochemical and/or molecular evaluation if all laboratory results fail to identify a causative agent. As a result of the post-mortem investigation, about 10% of the final diagnoses differed from the initial diagnoses. Diseases such as bacterial/fungal infection, viral hepatitis, adenovirus, enterovirus, herpes, neoplasms, and heart attacks would have remained undiagnosed if it were not for the histopathological post-mortem investigation procedures. Moreover, the set of diagnostic tests performed on fresh tissue is different from that performed on FFPE tissue. Ideally, both tissue specimens would be collected1717. Ministério da Saúde (BR), Secretaria de Vigilância em Saúde, Departamento de Vigilância Epidemiológica. Guia de vigilância epidemiológica. 7. ed. Brasília, DF: 2009 [cited 2020 Jan 10]. (Série A. Normas e manuais técnicos). Available from: https://bvsms.saude.gov.br/bvs/publicacoes/guia_vigilancia_epidemiologica_7ed.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
, but sometimes only one of them is available. In our cohort, some of the FFPE samples lacked a corresponding fresh aliquot available and therefore relied only on immunohistochemical and anatomopathological analysis for diagnosis.

We also have a clear logistics limitation depending on the distance from the collection point to the reference center, along with transport conditions. Although the qPCR assay is able to provide information on the presence of infectious agents at the molecular level, being a very high specific analysis1818. Lanciotti RS. Molecular amplification assays for the detection of flaviviruses. Adv Virus Res. 2003;61:67-99. https://doi.org/10.1016/S0065-3527(03)61002-X
https://doi.org/10.1016/S0065-3527(03)61...
, it is performed only on fresh frozen tissue in public surveillance laboratories. Despite its technical limitations1919. Schagat T. Succesfully overcoming the challenges of working with FFPE samples. Madison, WI: Promega Corporation; 2014 [cited 2019 Feb 4]. Available from: https://www.promega.com/-/media/files/promega-worldwide/north-america/promega-us/webinars-and-events/2014/overcoming-challenges-of-working-with-ffpe-samples-nov2014.pdf?la=en
https://www.promega.com/-/media/files/pr...
,2020. Guerra JM, Monteiro RL, Gonzalez L, Kimura LM, Cirqueira CDS, Araújo LJT. Against all odds: RNA extraction from different protocols adapted to formalin-fixed paraffin-embedded tissue. Appl Immunohistochem Mol Morphol. 2020;28(5):403-10. https://doi.org/10.1097/PAI.0000000000000772
https://doi.org/10.1097/PAI.000000000000...
, FFPE analysis provides valuable support to immunohistochemical2121. Ramos-Vara JA, Miller MA. When tissue antigens and antibodies get along: revisiting the technical aspects of immunohistochemistry: the red, brown, and blue technique. Vet Pathol. 2014;51(1):42-87. https://doi.org/10.1177/0300985813505879
https://doi.org/10.1177/0300985813505879...
,2222. Kokkat TJ, Patel MS, McGarvey D, LiVolsi VA, Baloch ZW. Archived formalin-fixed paraffin-embedded (FFPE) blocks: a valuable underexploited resource for extraction of DNA, RNA, and protein. Biopreserv Biobank. 2013;11(2):101-6. https://doi.org/10.1089/bio.2012.0052
https://doi.org/10.1089/bio.2012.0052...
and anatomopathological evidence. Cytological architecture is preserved and the samples can be used to perform molecular tests, such as conventional2323. Araújo LJT, Salas-Gómez D, Kimura LM, Takahashi JFP, Barrel JS, Rollin DC, et al. Culture cell block controls as a tool to the biomolecular diagnosis of infectious diseases. Appl Immunohistochem Mol Morphol. 2020;28(6):484-7. https://doi.org/10.1097/PAI.0000000000000811
https://doi.org/10.1097/PAI.000000000000...
or quantitative reverse transcriptase PCR1919. Schagat T. Succesfully overcoming the challenges of working with FFPE samples. Madison, WI: Promega Corporation; 2014 [cited 2019 Feb 4]. Available from: https://www.promega.com/-/media/files/promega-worldwide/north-america/promega-us/webinars-and-events/2014/overcoming-challenges-of-working-with-ffpe-samples-nov2014.pdf?la=en
https://www.promega.com/-/media/files/pr...
,2020. Guerra JM, Monteiro RL, Gonzalez L, Kimura LM, Cirqueira CDS, Araújo LJT. Against all odds: RNA extraction from different protocols adapted to formalin-fixed paraffin-embedded tissue. Appl Immunohistochem Mol Morphol. 2020;28(5):403-10. https://doi.org/10.1097/PAI.0000000000000772
https://doi.org/10.1097/PAI.000000000000...
. It is important to consider, however, that although immunohistochemistry may reveal the presence of viral antigens within the tissue sample, its specificity may be limited due to the cross-reactivity observed in commercially available antibodies2020. Guerra JM, Monteiro RL, Gonzalez L, Kimura LM, Cirqueira CDS, Araújo LJT. Against all odds: RNA extraction from different protocols adapted to formalin-fixed paraffin-embedded tissue. Appl Immunohistochem Mol Morphol. 2020;28(5):403-10. https://doi.org/10.1097/PAI.0000000000000772
https://doi.org/10.1097/PAI.000000000000...
,2424. Macedo FC, Nicol AF, Cooper LD, Yearsley M, Pires AR, Nuovo GJ. Histologic, viral, and molecular correlates of dengue fever infection of the liver using highly sensitive immunohistochemistry. Diagn Mol Pathol. 2006;15(4):223-8. https://doi.org/10.1097/01.pdm.0000213462.60645.cd
https://doi.org/10.1097/01.pdm.000021346...
This reinforces the need to use molecular methods as a complementary tool for FFPE.

Despite all efforts to identify an etiological agent, almost half of the cases investigated at the Pathology Center during the study did not receive a final laboratory diagnosis, thus relying solely on clinical and epidemiological information for a tentative conclusion11. Secretaria da Saúde do Estado de São Paulo, Coordenadoria de Controle de Doenças, Grupo Técnico Arborviroses; Grupo Técnico de Vigilância em Saúde, Subgrupo Arboviroses. Diretrizes para prevenção e controle das arboviroses urbanas no Estado de São Paulo. São Paulo: GTA, GTVS; 2017 [cited 2019 Oct 3]. Available from: http://www.cvs.saude.sp.gov.br/up/Diretrizes%20controle%20arboviroses%20ESP%20-%202017.pdf
http://www.cvs.saude.sp.gov.br/up/Diretr...
. This is consistent with prior studies reporting that conventional laboratory assays failed to detect a causative agent in approximately 40% of gastroenteritis2727. Finkbeiner SR, Allred AF, Tarr PI, Klein EJ, Kirkwood CD, Wang D. Metagenomic analysis of human diarrhea: viral detection and discovery. PLoS Pathog. 2008;4(2):e1000011. https://doi.org/10.1371/journal.ppat.1000011
https://doi.org/10.1371/journal.ppat.100...
cases and 60% of encephalitis2828. Ambrose HE, Granerod J, Clewley JP, Davies NWS, Keir G, Cunningham R, et al. Diagnostic strategy used to establish etiologies of encephalitis in a prospective cohort of patients in England. J Clin Microbiol. 2011;49(10):3576-83. https://doi.org/10.1128/JCM.00862-11
https://doi.org/10.1128/JCM.00862-11...
cases. Part of our findings could be attributed to technical issues related to sample fixation2020. Guerra JM, Monteiro RL, Gonzalez L, Kimura LM, Cirqueira CDS, Araújo LJT. Against all odds: RNA extraction from different protocols adapted to formalin-fixed paraffin-embedded tissue. Appl Immunohistochem Mol Morphol. 2020;28(5):403-10. https://doi.org/10.1097/PAI.0000000000000772
https://doi.org/10.1097/PAI.000000000000...
, but we also highlight the importance of better information availability when making the initial diagnosis, and having these data available to the reference laboratories (via online laboratory management systems). Lack of clinical data may limit implementing additional laboratory approaches. The more complete and accurate the investigation, the better will be the quality of laboratory surveillance, not only reducing the waiting time for a result, but also limiting the number of unnecessary tests and consequently easing the financial burden on Public Health.

As identified, many other common non-infectious diseases/pathologies (e.g., neoplasms, hepatopathies, vasculitis, hematologic diseases) can mimic arbovirus infections and even hemorrhagic fevers, misleading the diagnostic hypothesis. Another point to consider is that even when laboratory reports are negative for all tested pathogens, the undetected causative agent may be a known species that was simply not included in the laboratory’s testing algorithm. Alternatively, it might involve a truly novel pathogen2929. Miller RR, Montoya V, Gardy JL, Patrick DM, Tang P. Metagenomics for pathogen detection in public health. Genome Med. 2013;5(9):81. https://doi.org/10.1186/gm485
https://doi.org/10.1186/gm485...
. Surveillance laboratories must be constantly prepared to identify new pathogens, because their rapid detection is necessary to initiate public health measures.

A potential way to improve laboratory surveillance would be to perform PCR on FFPE samples3030. Bhatnagar J, Blau DM, Shieh WJ, Paddock CD, Drew C, Liu L, et al. Molecular detection and typing of dengue viruses from archived tissues of fatal cases by RT-PCR and sequencing: diagnostic and epidemiologic implications. Am J Trop Med Hyg. 2012;86(2):335-40. https://doi.org/10.4269/ajtmh.2012.11-0346
https://doi.org/10.4269/ajtmh.2012.11-03...
,3131. Guerra JM, Ferreira CSS, Beraldo KRF, Kimura LM, Takahashi JPF, Salas-Gómez D, et al. One-step multiplex real-time RT-PCR for molecular detection and typing of dengue virus infection from paraffin-embedded tissues during the Brazilian 2019 outbreak. Appl Immunohistochem Mol Morphol. 2021;29(2):158-62. https://doi.org/10.1097/PAI.0000000000000870
https://doi.org/10.1097/PAI.000000000000...
, using specific kits or protocols. Pathogen non-specific molecular methods, such as metagenomic approaches, could have even greater efficacy. Metagenomic sequencing can be used to detect any pathogen without the need for sequence-specific amplification. These sequence data can then be used to predict antibiotic resistance phenotypes3232. Robinson ER, Walker TM, Pallen MJ. Genomics and outbreak investigation: from sequence to consequence. Genome Med. 2013;5(4):36. https://doi.org/10.1186/gm440
https://doi.org/10.1186/gm440...
, detect co-infections3333. Sardi SI, Somasekar S, Naccache SN, Bandeira AC, Tauro LB, Campos GS, et al. Coinfections of Zika and chikungunya viruses in Bahia, Brazil, identified by metagenomic next-generation sequencing. J Clin Microbiol. 2016;54(9):2348-53. https://doi.org/10.1128/JCM.00877-16
https://doi.org/10.1128/JCM.00877-16...
, identify infectious disease outbreaks of unknown causes, and diagnose patients with suspected infections but negative results in conventional tests3434. Schlaberg R, Chiu CY, Miller S, Procop GW, Weinstock G. Validation of metagenomic next-generation sequencing tests for universal pathogen detection. Arch Pathol Lab Med. 2017;141(6):776-86. https://doi.org/10.5858/arpa.2016-0539-RA
https://doi.org/10.5858/arpa.2016-0539-R...
. This could be a powerful new tool for post-mortem analysis for surveillance purposes. As next-generation sequencing technologies continue to improve and its costs reduced, metagenomic approaches may become increasingly common in public health laboratories. Depending on the clinical and epidemiological information available, a syndromic laboratory approach could be useful for diagnosing hemorrhagic fever deaths of unknown etiology. Multiplex molecular diagnostic assays are able to simultaneously detect and identify the most frequent infectious causes of a single clinical syndrome. They are more accurate, faster and convenient than most techniques previously used in the laboratory3535. Couturier MR, Bard JD. Direct-from-specimen pathogen identification: evolution of syndromic panels. Clin Lab Med. 2019;39(3):433-51. https://doi.org/10.1016/j.cll.2019.05.005
https://doi.org/10.1016/j.cll.2019.05.00...
,3636. Hanson KE, Couturier MR. Multiplexed molecular diagnostics for respiratory, gastrointestinal, and central nervous system infections. Clin Infect Dis. 2016;63(10):1361-7. https://doi.org/10.1093/cid/ciw494
https://doi.org/10.1093/cid/ciw494...
.

Thus, using a syndromic panel applied to hemorrhagic fever deaths of unknown etiology could contribute to improved surveillance, as has been shown in the diagnosis of respiratory, gastrointestinal, and central nervous system infections3535. Couturier MR, Bard JD. Direct-from-specimen pathogen identification: evolution of syndromic panels. Clin Lab Med. 2019;39(3):433-51. https://doi.org/10.1016/j.cll.2019.05.005
https://doi.org/10.1016/j.cll.2019.05.00...
,3636. Hanson KE, Couturier MR. Multiplexed molecular diagnostics for respiratory, gastrointestinal, and central nervous system infections. Clin Infect Dis. 2016;63(10):1361-7. https://doi.org/10.1093/cid/ciw494
https://doi.org/10.1093/cid/ciw494...
. Monitoring spatial-temporal trends to identify clusters of negative cases can be used to facilitate early detection of silent infectious disease outbreaks3737. Chen D, Cunningham J, Moore K, Tian J. Spatial and temporal aberration detection methods for disease outbreaks in syndromic surveillance systems. Ann GIS. 2011;17(4):211-20. https://doi.org/10.1080/19475683.2011.625979
https://doi.org/10.1080/19475683.2011.62...
or even overcome logistical issues affecting sample quality and results, which can occur in non-random yet clustered distributions.

Importantly, the SARS-CoV-2 virus, cause of the COVID-19 acute respiratory disease, was detected in Wuhan, China, by monitoring the emergence of severe cases of “pneumonia of unknown etiology”3838. Singhal T. A review of coronavirus disease-2019 (COVID-19). Indian J Pediatr. 2020;87(4):281-6. https://doi.org/10.1007/s12098-020-03263-6
https://doi.org/10.1007/s12098-020-03263...
,3939. Pedersen SF, Ho YC. SARS-CoV-2: a storm is raging. J Clin Invest. 2020;130(5):2202-5. https://doi.org/10.1172/JCI137647
https://doi.org/10.1172/JCI137647...
. This underlines the importance of surveillance systems for fatal infectious diseases of unknown etiology to help recognize the emergence of a new outbreak.

CONCLUSION

Our findings highlight the relevance of a post-mortem laboratory investigation for the accurate diagnosis of arbovirus infections, revealing a gap in the surveillance of deaths from hemorrhagic fever and/or neuroinvasive disease caused by arbovirus infection in the state of São Paulo. The availability of more comprehensive patient data to reference laboratories could improve the quality of laboratory testing. In the future, metagenomic and syndromic laboratory approaches might lead to a significant advance in diagnostic accuracy, thus directly contributing to solving these death causes.

REFERENCES

  • 1
    Secretaria da Saúde do Estado de São Paulo, Coordenadoria de Controle de Doenças, Grupo Técnico Arborviroses; Grupo Técnico de Vigilância em Saúde, Subgrupo Arboviroses. Diretrizes para prevenção e controle das arboviroses urbanas no Estado de São Paulo. São Paulo: GTA, GTVS; 2017 [cited 2019 Oct 3]. Available from: http://www.cvs.saude.sp.gov.br/up/Diretrizes%20controle%20arboviroses%20ESP%20-%202017.pdf
    » http://www.cvs.saude.sp.gov.br/up/Diretrizes%20controle%20arboviroses%20ESP%20-%202017.pdf
  • 2
    Vieira MACS, Costa CHN, Linhares AC, Borba AS, Henriques DF, Silva EVP, et al. Potential role of dengue virus, chikungunya virus and Zika virus in neurological diseases. Mem Inst Oswaldo Cruz. 2018;113(11):e170538. https://doi.org/10.1590/0074-02760170538
    » https://doi.org/10.1590/0074-02760170538
  • 3
    Lima-Camara TN. Emerging arboviruses and public health challenges in Brazil. Rev Saude Publica. 2016;50:36. https://doi.org/10.1590/S1518-8787.2016050006791
    » https://doi.org/10.1590/S1518-8787.2016050006791
  • 4
    Lopes N, Nozawa C, Linhares REC. Características gerais e epidemiologia dos arbovírus emergentes no Brasil. Rev Pan-Amaz Saude. 2014;5(3):55-64. https://doi.org/10.5123/s2176-62232014000300007
    » https://doi.org/10.5123/s2176-62232014000300007
  • 5
    Bacon J, Carvalho MN, Diniz PC, Duani H, Machado DF, Mello MP, et al. Febres hemorrágicas. Rev Med Minas Gerais. 2008;18 (3 Supl 4):80-4.
  • 6
    Hotta H. [Neurotropic viruses--classification, structure and characteristics]. Nihon Rinsho. 1997;55(4):777-82. Japanese.
  • 7
    Ministério da Saúde (BR), Secretaria de Vigilância em Saúde, Coordenação Geral de Desenvolvimento. Guia de vigilância em saúde. 3. ed. Brasília, DF; 2019 [cited 2020 Jan 10]. Available from: http://portalarquivos2.saude.gov.br/images/pdf/2019/junho/25/guia-vigilancia-saude-volume-unico-3ed.pdf
    » http://portalarquivos2.saude.gov.br/images/pdf/2019/junho/25/guia-vigilancia-saude-volume-unico-3ed.pdf
  • 8
    Johnson BW, Russell BJ, Lanciotti RS. Serotype-specific detection of dengue viruses in a fourplex real-time reverse transcriptase PCR assay. J Clin Microbiol. 2005;43(10):4977-83. https://doi.org/10.1128/JCM.43.10.4977-4983.2005
    » https://doi.org/10.1128/JCM.43.10.4977-4983.2005
  • 9
    Domingo C, Patel P, Yillah J, Weidmann M, Méndez JA, Nakouné ER, et al. Advanced yellow fever virus genome detection in point-of-care facilities and reference laboratories. J Clin Microbiol. 2012;50(12):4054-60. https://doi.org/10.1128/JCM.01799-12
    » https://doi.org/10.1128/JCM.01799-12
  • 10
    Lanciotti RS, Kosoy OL, Laven JJ, Panella AJ, Velez JO, Lambert AJ, et al. Chikungunya virus in US travelers returning from India, 2006. Emerg Infect Dis. 2007;13(5):764-7. https://doi.org/10.3201/eid1305.070015
    » https://doi.org/10.3201/eid1305.070015
  • 11
    Lanciotti RS, Kosoy OL, Laven JJ, Velez JO, Lambert AJ, Johnson AJ, et al. Genetic and serologic properties of Zika virus associated with an epidemic, Yap State, Micronesia, 2007. Emerg Infect Dis. 2008;14(8):1232-9. https://doi.org/10.3201/eid1408.080287
    » https://doi.org/10.3201/eid1408.080287
  • 12
    Pincelli MP, Barbas CSV, Carvalho CRR, Souza LTM, Figueiredo LTM. Síndrome pulmonar e cardiovascular por hantavírus. J Pneumol. 2003;29(5):309-23. https://doi.org/10.1590/s0102-35862003000500011
    » https://doi.org/10.1590/s0102-35862003000500011
  • 13
    Pereira-Chioccola VL. Diagnóstico molecular das leishmanioses: contribuição ao Programa de Vigilância e Controle da LVA no Estado de São Paulo. Bepa Bol Epidemiol Paulista. 2009 [cited 2019 Oct 3];6(68):4-13. Available from: http://periodicos.ses.sp.bvs.br/pdf/bepa/v6n68/v6n68a01.pdf
    » http://periodicos.ses.sp.bvs.br/pdf/bepa/v6n68/v6n68a01.pdf
  • 14
    Romero EC, Blanco RM, Yasuda PH. Aseptic meningitis caused by Leptospira spp diagnosed by polymerase chain reaction. Mem Inst Oswaldo Cruz. 2010;105(8):988-92. https://doi.org/10.1590/S0074-02762010000800007
    » https://doi.org/10.1590/S0074-02762010000800007
  • 15
    Salgado MM, Gonçalves MG, Fukasawa LO, Higa FT, Paulino JT, Sacchi CT. Evolution of bacterial meningitis diagnosis in São Paulo State-Brazil and future challenges. Arq Neuropsiquiatr. 2013;71(9B):672-6. https://doi.org/10.1590/0004-282X20130148
    » https://doi.org/10.1590/0004-282X20130148
  • 16
    Labruna MB, Whitworth T, Horta MC, Bouyer DH, McBride JW, Pinter A, et al. Rickettsia species infecting Amblyomma cooperi ticks from an area in the State of São Paulo, Brazil, where Brazilian spotted fever is endemic. J Clin Microbiol. 2004;42(1):90-8. https://doi.org/10.1128/JCM.42.1.90-98.2004
    » https://doi.org/10.1128/JCM.42.1.90-98.2004
  • 17
    Ministério da Saúde (BR), Secretaria de Vigilância em Saúde, Departamento de Vigilância Epidemiológica. Guia de vigilância epidemiológica. 7. ed. Brasília, DF: 2009 [cited 2020 Jan 10]. (Série A. Normas e manuais técnicos). Available from: https://bvsms.saude.gov.br/bvs/publicacoes/guia_vigilancia_epidemiologica_7ed.pdf
    » https://bvsms.saude.gov.br/bvs/publicacoes/guia_vigilancia_epidemiologica_7ed.pdf
  • 18
    Lanciotti RS. Molecular amplification assays for the detection of flaviviruses. Adv Virus Res. 2003;61:67-99. https://doi.org/10.1016/S0065-3527(03)61002-X
    » https://doi.org/10.1016/S0065-3527(03)61002-X
  • 19
    Schagat T. Succesfully overcoming the challenges of working with FFPE samples. Madison, WI: Promega Corporation; 2014 [cited 2019 Feb 4]. Available from: https://www.promega.com/-/media/files/promega-worldwide/north-america/promega-us/webinars-and-events/2014/overcoming-challenges-of-working-with-ffpe-samples-nov2014.pdf?la=en
    » https://www.promega.com/-/media/files/promega-worldwide/north-america/promega-us/webinars-and-events/2014/overcoming-challenges-of-working-with-ffpe-samples-nov2014.pdf?la=en
  • 20
    Guerra JM, Monteiro RL, Gonzalez L, Kimura LM, Cirqueira CDS, Araújo LJT. Against all odds: RNA extraction from different protocols adapted to formalin-fixed paraffin-embedded tissue. Appl Immunohistochem Mol Morphol. 2020;28(5):403-10. https://doi.org/10.1097/PAI.0000000000000772
    » https://doi.org/10.1097/PAI.0000000000000772
  • 21
    Ramos-Vara JA, Miller MA. When tissue antigens and antibodies get along: revisiting the technical aspects of immunohistochemistry: the red, brown, and blue technique. Vet Pathol. 2014;51(1):42-87. https://doi.org/10.1177/0300985813505879
    » https://doi.org/10.1177/0300985813505879
  • 22
    Kokkat TJ, Patel MS, McGarvey D, LiVolsi VA, Baloch ZW. Archived formalin-fixed paraffin-embedded (FFPE) blocks: a valuable underexploited resource for extraction of DNA, RNA, and protein. Biopreserv Biobank. 2013;11(2):101-6. https://doi.org/10.1089/bio.2012.0052
    » https://doi.org/10.1089/bio.2012.0052
  • 23
    Araújo LJT, Salas-Gómez D, Kimura LM, Takahashi JFP, Barrel JS, Rollin DC, et al. Culture cell block controls as a tool to the biomolecular diagnosis of infectious diseases. Appl Immunohistochem Mol Morphol. 2020;28(6):484-7. https://doi.org/10.1097/PAI.0000000000000811
    » https://doi.org/10.1097/PAI.0000000000000811
  • 24
    Macedo FC, Nicol AF, Cooper LD, Yearsley M, Pires AR, Nuovo GJ. Histologic, viral, and molecular correlates of dengue fever infection of the liver using highly sensitive immunohistochemistry. Diagn Mol Pathol. 2006;15(4):223-8. https://doi.org/10.1097/01.pdm.0000213462.60645.cd
    » https://doi.org/10.1097/01.pdm.0000213462.60645.cd
  • 25
    Bhoopat L, Bhamarapravati N, Attasiri C, YoksarnS, Chaiwun B, Khunamornpong S, et al. Immunohistochemical characterization of a new monoclonal antibody reactive with dengue virus-infected cells in frozen tissue using immunoperoxidase technique. Asian Pac J Allergy Immunol. 1996;14(2):107-13.
  • 26
    Miagostovich MP, Ramos RG, Nicol AF, Nogueira RM, Cuzzi-Maya T, Oliveira AV, et al. Retrospective study on dengue fatal cases. Clin Neuropathol. 1997;16(4)204-8.
  • 27
    Finkbeiner SR, Allred AF, Tarr PI, Klein EJ, Kirkwood CD, Wang D. Metagenomic analysis of human diarrhea: viral detection and discovery. PLoS Pathog. 2008;4(2):e1000011. https://doi.org/10.1371/journal.ppat.1000011
    » https://doi.org/10.1371/journal.ppat.1000011
  • 28
    Ambrose HE, Granerod J, Clewley JP, Davies NWS, Keir G, Cunningham R, et al. Diagnostic strategy used to establish etiologies of encephalitis in a prospective cohort of patients in England. J Clin Microbiol. 2011;49(10):3576-83. https://doi.org/10.1128/JCM.00862-11
    » https://doi.org/10.1128/JCM.00862-11
  • 29
    Miller RR, Montoya V, Gardy JL, Patrick DM, Tang P. Metagenomics for pathogen detection in public health. Genome Med. 2013;5(9):81. https://doi.org/10.1186/gm485
    » https://doi.org/10.1186/gm485
  • 30
    Bhatnagar J, Blau DM, Shieh WJ, Paddock CD, Drew C, Liu L, et al. Molecular detection and typing of dengue viruses from archived tissues of fatal cases by RT-PCR and sequencing: diagnostic and epidemiologic implications. Am J Trop Med Hyg. 2012;86(2):335-40. https://doi.org/10.4269/ajtmh.2012.11-0346
    » https://doi.org/10.4269/ajtmh.2012.11-0346
  • 31
    Guerra JM, Ferreira CSS, Beraldo KRF, Kimura LM, Takahashi JPF, Salas-Gómez D, et al. One-step multiplex real-time RT-PCR for molecular detection and typing of dengue virus infection from paraffin-embedded tissues during the Brazilian 2019 outbreak. Appl Immunohistochem Mol Morphol. 2021;29(2):158-62. https://doi.org/10.1097/PAI.0000000000000870
    » https://doi.org/10.1097/PAI.0000000000000870
  • 32
    Robinson ER, Walker TM, Pallen MJ. Genomics and outbreak investigation: from sequence to consequence. Genome Med. 2013;5(4):36. https://doi.org/10.1186/gm440
    » https://doi.org/10.1186/gm440
  • 33
    Sardi SI, Somasekar S, Naccache SN, Bandeira AC, Tauro LB, Campos GS, et al. Coinfections of Zika and chikungunya viruses in Bahia, Brazil, identified by metagenomic next-generation sequencing. J Clin Microbiol. 2016;54(9):2348-53. https://doi.org/10.1128/JCM.00877-16
    » https://doi.org/10.1128/JCM.00877-16
  • 34
    Schlaberg R, Chiu CY, Miller S, Procop GW, Weinstock G. Validation of metagenomic next-generation sequencing tests for universal pathogen detection. Arch Pathol Lab Med. 2017;141(6):776-86. https://doi.org/10.5858/arpa.2016-0539-RA
    » https://doi.org/10.5858/arpa.2016-0539-RA
  • 35
    Couturier MR, Bard JD. Direct-from-specimen pathogen identification: evolution of syndromic panels. Clin Lab Med. 2019;39(3):433-51. https://doi.org/10.1016/j.cll.2019.05.005
    » https://doi.org/10.1016/j.cll.2019.05.005
  • 36
    Hanson KE, Couturier MR. Multiplexed molecular diagnostics for respiratory, gastrointestinal, and central nervous system infections. Clin Infect Dis. 2016;63(10):1361-7. https://doi.org/10.1093/cid/ciw494
    » https://doi.org/10.1093/cid/ciw494
  • 37
    Chen D, Cunningham J, Moore K, Tian J. Spatial and temporal aberration detection methods for disease outbreaks in syndromic surveillance systems. Ann GIS. 2011;17(4):211-20. https://doi.org/10.1080/19475683.2011.625979
    » https://doi.org/10.1080/19475683.2011.625979
  • 38
    Singhal T. A review of coronavirus disease-2019 (COVID-19). Indian J Pediatr. 2020;87(4):281-6. https://doi.org/10.1007/s12098-020-03263-6
    » https://doi.org/10.1007/s12098-020-03263-6
  • 39
    Pedersen SF, Ho YC. SARS-CoV-2: a storm is raging. J Clin Invest. 2020;130(5):2202-5. https://doi.org/10.1172/JCI137647
    » https://doi.org/10.1172/JCI137647

  • Funding: This research was funded by a Medical Research Council and FAPESP CADDE partnership award (MR/S0195/1), FAPESP grant No 2018/14389-0.

Publication Dates

  • Publication in this collection
    23 June 2021
  • Date of issue
    2021

History

  • Received
    19 Aug 2020
  • Accepted
    9 Nov 2020
Faculdade de Saúde Pública da Universidade de São Paulo São Paulo - SP - Brazil
E-mail: revsp@org.usp.br