Background
Dengue viruses (DENV) are arboviruses belonging to the
Flaviviridae family and the genus
Flavivirus, and are represented by four antigenically distinct serotypes (DENV-1 to 4) causing a mild self-limiting illness or more severe forms of the disease and death [
1]. According to WHO [
1], currently dengue cases can be classified as dengue without warning signs, dengue with warning signs and severe dengue. A severe dengue case is characterized by severe bleeding, severe organ involvement and severe plasma leakage. The viruses are responsible for high rates of disease and mortality [
2]. Dengue is a mosquito-borne viral disease endemic in several tropical and sub-tropical countries worldwide and, in recent decades the disease has grown drastically throughout the world [
3]. Globally, it is estimated an average of 9 thousand dengue deaths per year from 1990 to 2013 have occurred [
4]. In the Americas, dengue has an endemo-epidemic pattern with outbreaks occurring every 3 to 5 years [
5].
From 1995 to 2015, more than 18 million cases of dengue were reported throughout the American continent and, about 14 million cases were reported only in South American countries. Brazil contributed 55% of the cases reported in the Americas over this period. A total of 8788 fatal cases were confirmed in the Americas, and Brazil accounted for 48% of those cases [
6]. Despite that, dengue cases are still underreported and many cases are incorrectly classified, with one notification for every twenty cases of dengue fever (95%) [
7,
8].
Over the last 30 years, extensive dengue epidemics have occurred in Brazil, characterized by the emergence and re-emergence of different serotypes, a change in the epidemiological profile and an increase in the number of severe and fatal cases. Here, our goal is to present a review on the fatal dengue cases that occurred in Brazil over 30 years (1986–2015) based on the Brazilian Dengue Surveillance Systems, as understanding the patterns of case fatalities, may be critical for dengue case management in the country.
Methods
We performed an ecological study by using secondary data from the dengue epidemics available in Brazil. Official data on dengue fatal cases occurred from 1986 to 2013, from TabNet (DATASUS) from the National System of Reported Diseases (Sistema de Informação de Agravos de Notificação -SINAN) and from the Mortality Information System (SIM), both maintained by the Brazilian Ministry of Health (MoH), were obtained. Cases occurring in 2014 and 2015 were obtained from epidemiological reports available at
http://portalms.saude.gov.br/boletins-epidemiologicos.
Dengue severity was considered according to the final classification of the Brazilian MoH and to the epidemiological reports available, as follows: Dengue with complications (DCC), Dengue Hemorrhagic Fever (DHF), Dengue Shock Syndrome (DSS) and Severe Dengue (SD). In this study, the 1997 World Health Organization (WHO) dengue case classification (DHF and DSS) was used from 1986 to 2000. From 2000 to 2013, the Brazilian MoH DCC classification was used to define severe dengue cases that did not meet the WHO criteria for DHF/DSS and, from 2014 and on, the 2009 WHO dengue case classification, Dengue with warning signs (DwWS) and SD were employed [
1‐
6,
9]. Here, we considered dengue deaths to be reported in the SINAN database filled out as “death due to dengue,” or from the SIM database where cause of death was with the code “A90” or “A91,” according to the 10th International Classification of Diseases (ICD-10).
The case fatality rate of each classification was calculated using number of deaths from DHF/DSS, DCC, DwWS or SD per number of confirmed cases from each classification × 100. The overall fatality rate was calculated by the sum of each classification per number of dengue confirmed cases × 100. The mortality rate was calculated using the number of deaths per dengue per total number of the locality’s population, per year × 100,000 inhabitants. The population data of each year and by region were obtained from Instituto Brasileiro de Geografia e Estatística (IBGE) available at
https://www.ibge.gov.br. Cases were analyzed by region, demographic variables and clinical classification based on the data available on the reporting and investigation forms using a database in Excel Software. The maps were made using the TerraView 4.2.2 (INPE, SP, Brazil) software.
Odds ratio (OR) of dengue fatal cases occurred in Brazil from 1987 to 2015 was calculated with a 95% confidence interval (CI) and p-values for each year, with 1986 as the reference year. The analysis was performed by GraphPad Prism software version 6. We used 1986 as the reference year as it was the first year of dengue introduction in Brazil and the first year of data availability on the Brazilian MoH database. All data are available from the Brazilian MoH and do not need permission for access.
Discussion
The consecutive introduction of distinct DENV serotypes overtime, resulted in a hyperendemic scenario, with the co-circulation of all serotypes and, an increase in deaths, was evidenced, especially in 2015. However, the years that had the greatest chances of death were between 2007 and 2009, mainly due to the DENV-2 epidemic.
As Brazil is the second largest and most populated country in the Americas, it is important to understand the contribution of the distinct regions in the occurrence of dengue deaths. Historically, the regions in the country with highest dengue incidences and fatal cases have been the Southeast, followed by the Northeast region. During 30 years of epidemics, RJ, in the Southeast region, has historically contributed to the introduction and dissemination of three of the four DENV serotypes (DENV-1 to 3), and since then, has constantly reported dengue fatal cases.
One well-characterized study by Paixão [
29] analyzed the trends and factors associated with dengue mortality and fatality in Brazil from 2001 to 2011, and reported the results on the analysis of 3156 deaths. It was shown that the Southeast and Northeast regions accounted for more than 70% of fatal cases. Moreover, mortality rates increased during the period and that the factors associated with mortality were inequality, high income per capita and higher populations inhabiting urban areas [
29].
According to the WHO [
9] dengue case criteria, infections were classified as dengue fever (DF), DHF and DSS. However, due to difficulties in using this classification [
30], mostly due to changes in the disease epidemiology, a new classification was needed. In 2000, the Brazilian MoH proposed the DCC classification, to define severe dengue cases that did not meet the WHO criteria for DHF/DSS [
31,
32]. DCC was characterized when the dengue patient presented at least one of the following: neurological abnormalities, liver failure, cardiorespiratory dysfunction, gastrointestinal bleeding, low platelet count (leukocyte count ≤1000 cells/ml), pleural and pericardial effusion and ascites or death. It was a mandatory classification after 2007 [
33].
Based on the results of a multicenter study (Dengue Control, DENCO) to assess the limitations of the 1997 WHO classification, experts from dengue endemic regions agreed on a binary classification represented by two clear entities, severe dengue and dengue and, the term “non-severe dengue” should be avoided, as any dengue case can become severe. Moreover, it was shown that patients exhibiting warning signs are at increased risk of severe disease progression and deserve careful observation [
34]. This new classification proposed in 2009, characterized dengue infections in dengue without signs (DWoWS), DwWS and SD [
1,
9,
35]. From January 2014 and on, Brazil adopted this new proposed classification. Therefore, in this analysis, DHF/DSS, DCC, DwWS and SD denominations were used, considering the epidemic year analyzed.
A higher sensitivity to detect increased disease severity has been shown by the new WHO 2009 dengue classification [
36‐
39]. Its specificity, however, is much lower (73.0%) compared to the 1997 classification (93.4%). The higher sensitivity allows better patients’ management, reducing mortality [
40,
41], on the other hand, may also result in the misclassification of some severe cases [
42]. In fact, the lower specificity of this new classification is attributed, partly, to the lack of clear criteria for the definition of the warning signs [
43].
DHF cases fatality rates were high in 1994, 1997, 1998, 2006, 2012, and 2013. By DCC, deaths were more frequently reported in 2003, 2006, 2007, with increasing numbers from 2008 to 2013. In 2014, 3% of DwWS patients died, while in 2014 and 2015, 8 and 7% of SD cases died, respectively. From 1986 to 1990 the DHF fatality rate was up to 10% in RJ and AL, but was five times higher in CE, from 1996 to 2001, however, from 2006 to 2010, case fatality rates increased in almost all states.
Sex has also been considered by some authors, as risk factor for the disease severity. Studies in Asia and the Americas, show that women are more likely to have the disease and are at greater risk of developing more severe forms than men [
44‐
47]. In the 30 years period, an equal distribution of dengue fatal cases was observed between the sexes. Previous studies on dengue incidence have sometimes found equal attack rates between the sexes [
48‐
51], and sometimes found uneven distribution of cases, with no clear tendency for males or females to be more affected [
45,
52‐
55].
From 1986 to 2006, dengue deaths occurred more often in individuals over 15 years old. This changed in 2007–2008, with the DENV-2 re-emergence, as more than 53% of the dengue deaths cases occurred in children 15 years old and under [
16]. Likewise, the study by Paixão et al. [
29] analyzing dengue mortality from 2001 to 2011 in Brazil, showed the highest DHF case fatality rates on individuals over 15 years old and especially on those 80 years old and over. However, children under 1 year old experienced increased fatality rates.
After 2009, there was a decrease in fatal cases in children 15 years old and under, while fatal cases on individuals above 15 years old became more frequent, especially in the years of 2010, 2013 and 2015. The increased risk of death in the older age group may be associated with the difficulty in managing the disease in a population with a high frequency of comorbidities [
56]. Cases coincident with sickle cell anemia, autoimmune diseases, asthma, hypertension, uremia and diabetes mellitus have been described in more severe outcomes of dengue [
56‐
60].
Conclusions
Currently, Brazil is experiencing a hyperendemic scenario, with the co-circulation of the four DENV serotypes and occurrence of severe and fatal cases and, more recently, the co-circulation with other arboviruses such as Zika, Yellow Fever and Chikungunya, Therefore, the possibility of misdiagnosis and even co-infections in a same individual and the its impact in the disease outcome, can not be neglected and need further investigation.
One point to be addressed here and pointed out in a previous study, is the challenge in determining whether a death occurs
due to DENV infection or in a patient
with DENV infection, meaning the disease is the cause of death or is the underlying cause of it [
61]. Either way, the disease surveillance and studies characterizing what has been reported overtime, are still important tools to better understand the factors involved on the disease outcome.
It is a fact that, there are many dengue-related deaths underestimated in many health services, even after 30 years of dengue surveillance in Brazil and it has been shown that the structuring and organization of surveillance, autopsy and laboratory teams, may significantly improve this scenario [
61‐
63].
Despite that, the use of secondary data as those analyzed here, imposes some limitations to the study and those include the lack of some clinical and/or demographic information, description of disease course during hospitalization and until death, delay in diagnosis and low adherence to notification by health professionals. Dengue cases are under-reported in Brazil and improvements are needed in the proper filing of report forms [
7,
64‐
66].