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Epidemiologia e Serviços de Saúde

versão impressa ISSN 1679-4974versão On-line ISSN 2237-9622

Epidemiol. Serv. Saúde vol.29 no.4 Brasília  2020  Epub 21-Ago-2020 

Original article

Increase in Guillain-Barré syndrome hospitalizations in Brazil: an ecological study*

Juliane Maria Alves Siqueira Malta1  2  , Walter Massa Ramalho1 

1Universidade de Brasília, Programa de Pós-Graduação em Medicina Tropical, Brasília, DF, Brazil

2Ministério da Saúde, Secretaria de Vigilância em Saúde, Brasília, DF, Brazil



to describe the demographic characteristics and the spatio-temporal dynamics of Guillain-Barré syndrome (GBS) hospitalizations in Brazil between 2008 and 2017.


this is an ecological study using data from the Hospital Information System of the Brazilian National Health System (SIH/SUS); GBS hospitalization rates were calculated and a control diagram was built; natural break ranges were used in the spatial analysis.


15,512 GBS hospitalizations were recorded during the study period; between 2008-2014 there were 1,344 hospitalizations per year on average, in the following year (2015), 1,953 hospitalizations were registered, representing an increase of 45% in relation to the average of previous years; GBS hospitalizations reached an epidemic level in the Northeast region in 2015 and 2016.


GBS hospitalizations increased with effect from 2015, following the introduction of chikungunya virus and the rapid spread of Zika virus in Brazil.

Key words: Guillain-Barre Syndrome; Hospitalization; Epidemiology; Brazilian National Health System; Ecological Studies


In 1916, Georges Guillain, J. A. Barré and A. Strohi described a syndrome characterized by acute paralysis and loss of reflexes among French army soldiers. On this occasion, occurrence of cerebrospinal fluid albuminocytologic dissociation was described for the first time. Strohi’s participation was limited to electrophysiology. Approximately four decades later, in honor of its investigators, the disease received the name of Guillain-Barré syndrome (GBS).1

GBS is a peripheral polyneuropathy, characterized by starting with acute bilateral and symmetric weakness of the limbs with reduced or absent myotactic reflexes. The disease is progressive and reaches its peak in between 12 hours and 28 days, followed by a plateau and subsequent improvement in survivors. GBS is generally triggered by an acute infectious process that occurs days or weeks before neurological symptoms.2

Several different prior infections have been identified in GBS patients. C jejuni is the most frequently identified prior infectious agent. Other infections associated with the syndrome are those caused by cytomegalovirus (CMV), Epstein-Barr virus, influenza A virus, Mycoplasma pneumoniae and Haemophilus influenzae.3 An emerging relationship between GBS and acute infections caused by arboviruses, including those cased by chikungunya virus and Zika virus, is being monitored and is a subject of great interest.5

Studies show that the disease is more frequent among males. The explanation for the difference between the sexes is unknown. There are no reports of the syndrome occurring seasonally.5

Around 25% of GBS cases develop respiratory insufficiency and many have signs of autonomic dysfunction in the acute phase of the disease. Approximately 5% of cases die and 20% suffer significant permanent disability.3

Diagnosis is generally clinical, although cerebrospinal fluid albuminocytologic dissociation and electrophysiological studies can help diagnosis and differentiate the demyelinating and axonal GBS subtypes.3 Specific treatment of GBS aims above all to accelerate the recovery process, reducing complications associated with the acute phase and reducing residual neurological deficits in the long term. Treatment management includes use of plasmapheresis and intravenous human immunoglobulin, both of which are available on the Brazilian National Health System (SUS).7

In many parts of the world GBS incidence is, however, unknown. Some evidence suggests that GBS epidemiology may be different in different regions. A study conducted in order to obtain estimates of GBS incidence in North America and Europe used publications dating from 1973 to 2009, and found a median of 1.1 case per 100,000 inhabitants/year.8

A study conducted in the Brazilian state of Rio Grande do Norte between 1994 and 2007, found incidence of 0.3 case per 100,000 inhab./year.9 In the state of São Paulo, another study conducted in a tertiary hospital found incidence of 0.6 case per 100,000 inhab./year.10

In 2015, the Brazilian Ministry of Health’s National Dengue Control Program recorded an increase in the number of SUS GBS hospitalizations, especially in the Northeastern states of Pernambuco and Bahia.11 This increase in cases was detected by the SUS Hospital Information System (SIH/SUS), the purpose of which is to record all care provided as a result of hospitalizations funded by the system, in both public and outsourced hospitals.

In view of the growing records of GBS hospitalizations in Brazil, above all following the introduction of chikungunya virus and the rapid spread of Zika virus, it is justifiable to conduct studies that contribute to knowledge about the epidemiological scenario of the syndrome, as well as to informing decision making and public health policy planning, at a time when studies are being conducted to gain better understanding of arbovirus circulation and their complications.

The objective of this study was to describe the demographic characteristics and spatio-temporal dynamics of Guillain-Barré syndrome hospitalizations in Brazil between 2008 and 2017.


A mixed-type ecological study was conducted of SUS-funded GBS hospitalizations in the period 2008-2017, taking Brazil’s Federative Units (UFs) and regions as its units of analysis.

Brazil is divided into five geopolitical regions – North, Northeast, Midwest, Southeast and South –, all of which have different demographic, economic and social characteristics. There are 26 states and one Federal District. Brazil is South America’s largest country (8,515,767km2).12

The study used the SIH/SUS database. Resident populations, by region and UF, between 2008 and 2017 were estimated by the Brazilian Institute of Geography and Statistics (IBGE), based on the 2010 Demographic Census; estimated IBGE projections were used for the other years.

The study included all hospitalizations the main diagnosis of which was recorded as code G61.0 of the International Statistical Classification of Diseases and Related Health Problems – 10th revision (ICD-10).

A ten-year time series of GBS hospitalizations (2008-2017) was built. Frequencies and measures of central tendency and dispersion were used to describe the data. The demographic variables and variables relating to the disease were analyzed according to proportional contribution to total cases in each year of the time series, thus enabling possible changes over the period to be visualized. Likewise, proportional distribution was calculated for the UFs, so that it could be seen how much each one contributed to total GBS hospitalizations. The hospitalization rate was calculated for the 27 UFs, taking the number of people hospitalized due to GBS as the numerator and the population in the period as the denominator, multiplied by 100,000 inhabitants. Lethality was calculated by dividing the number of GBS deaths in Brazil each year by the total number of GBS hospitalizations in Brazil each year, multiplied by 100.

The number of inpatient days was used to calculate length of hospital stay. An inpatient day is when a patient stays for an indivisible period of up to 24 hours in a hospital institution. The start time and end time of the period considered in SIH/SUS calculations is midnight.13

The Cullen method was used for the control diagram, which was built with the aim of detecting epidemics in the GBS hospitalization time series. The control diagram encompasses two sets of information: a control graph, representative of the endemic channel; and a follow-up graph. The period observed was 2014-2017. Prior year data was used as the reference for building the endemic strip, which became the same for the three years.14 An expected monthly value was obtained for each month, by means of the GBS hospitalization incidence coefficient (average I.C. per month), based on preceding years. Monthly rate standard deviation (SD) was then calculated. The expected upper limit was calculated as follows: (average I.C. per month) + (standard deviation per month x 1.96). The same procedure was used for all the following months.

The natural break ranges of the data were used for graphical demonstration of incidence rate spatial distribution in the UFs, i.e.: 0.00-0.13; 0.14-0.45; 0.45-0.65; 0.66-0.85; 0.86-1.10; 1.11-1.90; 1.91 or more hospitalizations/100,000 inhab.

Epi Info™ 7.2.2, Tabwin™ 3.6 and Microsoft Office® 2010 were used to analyze the data. QGIS version 2.1.8 was used to prepare the maps.


Between 2008 and 2017, 15,512 GBS hospitalizations were recorded in Brazil. Generally speaking, hospitalizations increased with effect from 2015 (Table 1). Between 2008 and 2014, hospitalizations were stable at an average rate of 1,344 per annum. In the following year (2015), 1,953 GBS hospitalizations were recorded, representing a 45% increase. 2016 stands out as the year with the highest number of hospitalizations: N=2,216 (Table 1).

Table 1 – Distribution of Guillain-Barré syndrome hospitalizations (N=15,512) according to demographic data and related to the disease, Brazil, 2008-2017 

Year Guillain-Barré syndrome hospitalizations Sex Age Length of hospital stay, in days Intensive therapy unit n (%) Deaths lethality: n (%)
Male: n (%) Female: n (%) Median (Q1-Q3) Median (Q1-Q3)
2008 1,167 711 (60.9) 456 (39.1) 45 (28-59) 6 (04-13) 112 (9.6) 33 (2.8)
2009 1,350 796 (59.0) 554 (41.0) 42 (25-57) 6 (04-12) 133 (9.9) 30 (2.2)
2010 1,405 784 (55.8) 621 (44.2) 42 (25-57) 7 (04-14) 181 (12.9) 33 (2.3)
2011 1,364 833 (61.1) 531 (33.9) 41 (25-55) 7 (04-14) 189 (13.9) 48 (3.5)
2012 1,218 698 (57.3) 520 (42.7) 39 (21-55) 8 (04-15) 210 (17.2) 46 (3.8)
2013 1,449 832 (57.4) 617 (42.6) 39 (22-54) 8 (04-16) 254 (17.5) 47 (3.2)
2014 1,455 805 (55.3) 650 (44.7) 38 (20-54) 8 (04-14) 259 (17.8) 38 (2.6)
2015 1,953 1,111 (56.8) 842 (43.2) 40 (25-56) 8 (04-14) 380 (19.5) 59 (3.0)
2016 2,216 1,294 (58.4) 922 (41.6) 40 (25-56) 8 (04-15) 433 (19.5) 97 (4.4)
2017 1,935 1,141 (59.0) 794 (41.0) 39 (22-55) 8 (04-14) 369 (19.1) 71 (3.7)

Q1: 1st quartile.

Q3: 3rd quartile.

The male sex was predominant throughout the entire period: 58.0%. Mean age of hospitalized patients was around 40 years old; except in 2008 when mean age was 45 years.

A gradual increase in length of hospital stay in days was seen between 2008 and 2017. However, between 2012 and 2017, mean length of hospital stay remained steady at eight days. A gradual increase was also seen in the number of patients cared for in intensive therapy units (ITU): rising from 9.6% in 2008 to 19.5% in 2015. The number of deaths per year varied between 30 and 97, with 2016 standing out as the year with highest lethality (4.4%).

Table 2 shows the GBS hospitalization time series in the states and regions, and their respective line graphs. An increase in hospitalizations can be seen with effect from 2015, in comparison to the preceding year, in the Northeast, Southeast, Midwest and Southern regions, with increases of 78.3%, 35.0%, 18.5% and 7.7% respectively.

Table 2 – Distribution of Guillain-Barré syndrome hospitalizations (N=15,512) by region and Federative Unit of residence, Brazil, 2008-2017 

Region and Federative Unit 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Gráfico de linhas

North 53 74 90 88 104 117 168 157 174 157
Rondônia - 3 5 6 15 13 16 13 22 16
Acre 2 2 5 1 6 4 6 6 7 1
Amazonas 14 18 11 16 16 22 22 35 26 49
Roraima 7 3 6 8 4 4 6 12 16 6
Pará 14 12 42 35 32 42 62 66 68 51
Amapá 1 5 1 3 4 8 8 14 14 14
Tocantins 15 31 20 19 27 24 48 11 21 20

Northeast 187 317 364 354 279 399 355 633 549 543
Maranhão 6 40 40 57 25 61 44 47 60 39
Piauí 20 67 65 20 10 4 14 26 31 40
Ceará 50 74 85 78 53 52 76 115 62 81
Rio Grande do Norte 11 6 22 21 24 30 25 49 46 18
Paraíba 8 11 9 13 5 8 18 25 30 21
Pernambuco 20 33 43 81 98 160 115 140 152 189
Alagoas 13 31 29 20 14 14 5 46 50 57
Sergipe - - 1 3 7 15 11 23 17 23
Bahia 59 55 70 61 43 55 47 162 101 75

Southeast 321 449 499 536 473 555 531 717 909 749
Minas Gerais 62 103 131 148 130 163 169 243 311 238
Espírito Santo 6 18 13 23 15 18 17 26 29 34
Rio de Janeiro 75 115 100 90 105 85 74 136 192 115
São Paulo 178 213 255 275 223 289 271 312 377 362

South 457 395 320 262 224 247 271 292 348 325
Paraná 82 97 77 70 62 85 73 103 131 134
Santa Catarina 49 48 41 29 48 56 66 73 78 68
Rio Grande do Sul 326 250 202 163 114 106 132 116 139 123

Midwest 149 115 132 124 138 131 130 154 236 161
Mato Grosso do Sul 14 17 17 10 20 21 22 27 40 26
Mato Grosso 19 16 24 19 41 26 35 27 47 32
Goiás 74 43 57 67 51 54 37 65 110 68
Distrito Federal 42 39 34 28 26 30 36 35 39 35
Brasil 1.167 1.350 1.405 1.364 1.218 1.449 1.455 1.953 2.216 1.935

The Northeastern states of Ceará and Bahia registered the largest number of GBS hospitalizations in 2015, in relation to the entire period studied, with 115 and 162 records, respectively. Although there was an increase in hospitalizations in the state of Pernambuco in 2015, the highest number of cases in that state was recorded in 2017: 189 hospitalizations.

In the Southeast region, the highest number of GBS hospitalizations in the study period (2008-2017) occurred in 2016, with 909 records. This behavior was also found in 2016 with relation to Minas Gerais, with 311 hospitalizations, Rio de Janeiro with 192, and São Paulo with 377.

Although it recorded the highest number of GBS hospitalizations in 2008 and 2009 (457 and 395 cases, respectively), the Southern region had a gradual increase following this period, in particular in 2016 with 348 hospitalizations.

In the Midwest region, GBS hospitalizations were seen to increase with effect from 2015, with a peak of 236 records in 2016, and the state of Goiás with an increase of 69.2% in 2016 compared to the year before.

The Guillain-Barré syndrome hospitalization control diagram per region (Figure 1), showed epidemic peaks in the four years observed for the Northern region, in particular the first semester of 2016. The Northeast region showed a level above the endemic channel with effect from April 2015, with a peak in July of that year, and also in the first semester of 2016 and in April 2017. In the Southeast region, GBS hospitalizations occurred on an epidemic level between September 2015 and June 2016, and also in the first three months of 2017. In the Southern region, hospitalizations remained at an endemic level throughout the period. In the Midwest region GBS hospitalizations were at an epidemic level between December 2015 and April 2016.

Figure 1 – Guillain-Barré syndrome hospitalization rate control diagram by region of residence, Brazil, 2014-2017 

The spatio-temporal analysis showed a gradual increase in GBS hospitalizations with effect from 2015, with 28.4 hospitalizations recorded per 100,000 inhab. In 2015, the states of Roraima and Amapá stood out in the Northern region and the states of Rio Grande do Norte, Pernambuco and Alagoas stood out in the Northeast region (Figure 2). There was a shift in 2016 to the Midwest and Southeast regions.

Figure 2 – Spatio-temporal distribution of the Guillain-Barré syndrome hospitalization rate, by Federative Unit of residence, Brazil, 2008-2017 


There was an increase in the number of Guillain-Barré syndrome hospitalizations in Brazil with effect from 2015. GBS hospitalizations occurred on an epidemic level in the Northeast region in the first semesters of 2015 and 2016 and with less intensity in the first semester of 2017. A similar situation was found in the Southeast, Midwest and Northern regions.

Among GBS hospitalizations in the period studied, there was a predominance of male cases, length of hospital stay of around a week and a lower percentage submitted to intensive care. The need for ITU monitoring is one of the indicators of severity, and the proportion found in this study was similar to that found in other studies.2

The lethality rate found for Brazil as a whole over the period was similar to or even below that found in North America and Europe.8 It is possible that timely use of intravenous human immunoglobulin in Brazil available on the SUS was reflected in prognosis.7

Zika virus was identified for the first time in Brazil in April 2015, in the Northeast region, where the initial cases of the epidemic occurred. In the following year, the epidemic shifted to the Southeast, Midwest and Southern regions.15 The spatio-temporal analysis of GBS hospitalizations demonstrated an increase in the incidence rate with effect from 2015; and clustering of the syndrome in the states of the Northeast region, with later shifts to other regions, coinciding with the epidemiological situation of acute Zika virus disease.

Although GBS is not seasonal, an increase in hospitalizations on an epidemic level was frequently found in the first semester of the year. It should be noted that this is the seasonal period of arbovirus infections.16 Epidemiological investigations carried out by the Training Program on Epidemiology Applied to SUS Services (EpiSUS-Avançado/SVS/MS) in the state of Bahia, identifier a greater number of GBS cases after the introduction of Zika virus, demonstrating temporal association: the majority of patients interviewed reported symptoms suggestive of acute Zika virus fever six weeks before the onset of the neurological disease.15

Some studies have reported increases in GBS cases associated with Zika virus, such as in French Polynesia, where cases presented IgM or IgG markers and Zika virus neutralizing antibodies.18 A study conducted in Puerto Rico timely identified GBS cases associated with Zika virus infection confirmed by RT-PCR.19

GBS has also been found to be associated with chikungunya fever. Another study conducted in French Polynesia between 2014 and 2015, found an increase in the syndrome following a chikungunya outbreak.20 GBS cases following chikungunya infection were reported on Reunion Island, where syndrome incidence increase was estimated at 22%.21 A study conducted in Martinique and in Guadeloupe in 2014 indicated increased incidence during the outbreak period.22

The data used in this study were aggregated. This therefore does not mean that the same findings may have happened on the individual level. The information was obtained from the population group as a whole. This study used secondary data, and the GBS hospitalization rate was calculated using SIH/SUS data, an information system which in a nutshell has the purpose of compiling records for payment for health services provided to SUS patients during hospitalization. In other words, the study did not include private sector or supplementary sector hospitalizations. Nor were possible duplications excluded, given that the study used a non-nominal database.

This study describes a panorama of GBS hospitalizations in Brazil, in the country’s different regions, over a ten-year period. A notable increase in Guillain-Barré syndrome hospitalizations occurred with effect from 2015, coinciding with the introduction of chikungunya virus and with the identification – and rapid spread – of Zika virus. We recommend that Public Health authorities take into consideration and put on the agenda surveillance of neuroinvasive diseases caused by arboviruses, given the magnitude of the syndrome, the potential for transmission by its vector and, consequently, dissemination of the virus and its irreparable consequences for the population such as death, sequelae and acquired disabilities.


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*Article derived from the Master’s Degree dissertation entitled “Guillain-Barré syndrome hospitalization trend in Brazil, 2008-2017’, defended by Juliane Maria Alves Siqueira Malta at the University of Brasília (UnB) Postgraduate Tropical Medicine Program in 2019.

Received: April 09, 2020; Accepted: May 13, 2020

Correspondence: Juliane Maria Alves Siqueira Malta – Universidade de Brasília, Campus Universitário Darcy Ribeiro, Programa de Pós-Graduação em Medicina Tropical, Brasília, DF, Brazil. Postcode: 70910-900 E-mail:

Authors’ contributions

Malta JMAS and Ramalho WM took part in the concept and design of the study, data analysis and interpretation, discussion of the results and drafting the manuscript. Both authors have approved the final version and are responsible for all aspects of this work, including the guarantee of its accuracy and integrity.

Associate Editor: Lúcia Rolim Santana de Freitas

Creative Commons License  This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.