SciELO - Scientific Electronic Library Online

 
vol.51 issue6Prevalence and risk factors of toxoplasmosis among adults in a small Brazilian cityAlterations in the lipid profiles and circulating liver enzymes in individuals infected by Schistosoma mansoni author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Revista da Sociedade Brasileira de Medicina Tropical

Print version ISSN 0037-8682On-line version ISSN 1678-9849

Rev. Soc. Bras. Med. Trop. vol.51 no.6 Uberaba Nov./Dec. 2018

http://dx.doi.org/10.1590/0037-8682-0038-2018 

Major Article

Factors associated with leprosy in a municipality of the Pre-Amazon region, state of Maranhão, Brazil

Antônio Rafael da Silva1  2 

Pedro Martins Lima Neto2  3 

Leonardo Hunaldo dos Santos3 

Raina Jansen Cutrim Propp Lima4 

Pedro Luiz Tauil5 

Eloísa da Graça do Rosário Gonçalves1  2 

1Centro de Referência em Doenças Infecciosas e Parasitárias, Departamento de Patologia, Universidade Federal do Maranhão, São Luís, MA, Brasil.

2Programa de Pós-Graduação em Saúde e Ambiente, Universidade Federal do Maranhão, São Luís, MA, Brasil.

3Centro de Ciências Sociais, Saúde e Tecnologia, Universidade Federal do Maranhão, Imperatriz, MA, Brasil.

4Departamento de Ensino, Instituto Federal de Educação, Ciência e Tecnologia do Maranhão. Açailândia, MA, Brasil.

5Programa de Pós-Graduação em Medicina Tropical, Universidade de Brasília, Brasília, DF, Brasil.


Abstract

INTRODUCTION:

The Integrated Program of Leprosy Control was initiated in the municipality of Buriticupu, Maranhão, Brazil, an area considered hyperendemic for leprosy in 2003. It aims at assessing the clinical and epidemiological characteristics of the disease to reduce the detection rate of new cases until 2015. Here, we present the evolution of the indicators of leprosy within the period from 2003 to 2015.

METHODS:

We conducted a descriptive analytical study based on the active search for and voluntary referral of cases of leprosy. The detection rate of new cases was analyzed over time. We included individuals diagnosed with leprosy between January 2003 and December 2015. The association between categorical variables was assessed using the chi-square test of independence, considering a level of significance of 5%. When the association was significant, the detection rate (with a confidence interval of 95%) was calculated.

RESULTS:

Overall, 879 new leprosy cases were detected; the majority of the affected individuals were men (65.9%). Multibacillary leprosy was the most common type of the disease, according to the operational classification (55.5%); it showed the strongest association with an age ≥60 years. We also detected an association between the male sex and both, lepromatous and multibacillary leprosy. The detection rate reduced from 211.09/100,000 population in 2003 to 50.26/100,000 population in 2015.

CONCLUSIONS:

We found an improvement in leprosy control, with a reduction in the detection rate and the absolute number of cases. Strengthening of disease control measures should be prioritized to eliminate leprosy as a public health concern in this municipality.

Keywords: Leprosy; Mycobacterium leprae; Health profile; Detection rate; Epidemiological case-series

INTRODUCTION

Leprosy is one of the oldest diseases in the history of humanity, with case reports existing since Biblical times. Records show that the disease was introduced into the American continent in the mid-16th century by European immigrants and later by African slaves1. Leprosy is an infectious, contagious disease caused by the intracellular bacillus Mycobacterium leprae. Its major clinical manifestations are skin and neurological injuries that may lead to the onset of physical incapacities and psychosocial limitations2.

There is a great disparity in the geographic distribution of leprosy, and cases are concentrated in only a few countries. Recently, the World Health Organization (WHO) established a strategy for leprosy elimination by 2020. The strategy aims at a zero diagnosis of leprosy or physical disabilities among children, no countries without specific legislation against discrimination, and a detection rate of <1 case per 1 million persons3.

Brazil has the second-highest number of notified cases worldwide and accounting for 91.93% of leprosy cases in America in 20144. In 2014, the prevalence of leprosy was 1.27 cases per 10,000 population (25,738 cases under treatment), and the detection rate was 15.32 cases per 100,000 population (31,064 new cases). According to official parameters, this defines Brazil as a country with high endemicity5.

Regarding the Brazilian states, in 2014, Mato Grosso had 82.03 leprosy cases per 100,000 population, followed by Tocantins and Maranhão with 69.88 and 53.02 cases per 100,000 population, respectively. Maranhão had the third-highest detection rate for new cases, with 3,632 cases detected in 2014, accounting for 11.69% of all cases detected in Brazil. The epidemiological indicators in the municipality of Buriticupu, Maranhão classify are classified as hyperendemic for leprosy because of the high detection rates6.

This study is the result of an intervention targeting leprosy control in the municipality of Buriticupu that was initiated in 2003 by the Integrated Control of Leprosy Project, targeting school-aged children and the general population7-9. The aim of the project was to reduce the incidence of the disease by assessing demographic, epidemiological, and clinical features of leprosy in Buriticupu .

METHODS

This was a case-series epidemiological study based on voluntary referral of and active search for cases of leprosy. We analyzed the leprosy detection rates and number of new cases between January 2003 and December 2015. The data were collected from the Database of the Center of Studies in Tropical Medicine of the Federal University of Maranhão, municipality of Buriticupu (located in the western part of the state of Maranhão), Pre-Amazon region of Maranhão.

A suspicion of leprosy was based on alterations in skin color and/or sensitivity5. Bacilloscopy of intradermal scrapings was performed in all suspected patients and interpreted according to the criteria established by Ridley and Jopling in 196210. Lesions were histologically examined when the definition of the clinical type of leprosy was unclear.

The primary variables analyzed in this case study included the age group (<15 years / 15 to 19 years / 20 to 29 years / 30 to 39 years / 40 to 49 years / 50 to 59 years / ≥ 60 years), sex, operational classification (paucibacillary or multibacillary leprosy) as proposed by the WHO11, clinical type, and origin of the infection. The clinical types were defined as indeterminate, tuberculoid, dimorphous or borderline, and lepromatous according to the Madrid classification12.

The collected data were stored in a database that was created using Microsoft Excel 2016 (Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA). Statistical analysis was performed using the IBM SPSS software (IBM's Corporate Privacy Office 1 New Orchard Road Armonk, NY 10540 U.S.A.) after checking for errors and inconsistencies13. Quantitative variables are expressed as absolute and relative frequencies. The associations between the categorical variables were assessed using the chi-square (χ2) test of independence14. The level of significance was set at 5% and a confidence interval of 95% (95% CI)15. We analyzed the associations between age group and operational classification, between sex and clinical type, and between sex and operational classification.

In compliance with the requirements of Resolution 466/2012 of the Brazilian National Health Council following the Guidelines and Rules for Research Involving Humans, the present study was approved by the Research Ethics Committee of the Universidade Federal do Maranhão under no. 234.767, protocol no. 12700713.9.0000.5084.

RESULTS

The study analyzed 879 new cases of leprosy (65.9% were men and 34.1% women); of these cases, 21.5% of the individuals were aged between 20 and 29 years. According to the operational classification, 55.5% of the patients had multibacillary leprosy; the most frequent clinical types of leprosy were dimorphous (32.1%) and tuberculoid (24.9%) (Table 1).

TABLE 1: Demographic and clinical characteristics of new cases of leprosy, Buriticupu, Maranhão, 2003-2015. 

Variable n %
Sex
Male 579 65.9
Female 300 34.1
Age group, years
<15 61 6.9
15- 9 79 9.0
20-29 189 21.5
30-39 145 16.5
40-49 127 14.5
50-59 130 14.8
≥60 148 16.8
Operational classification
Paucibacillary 391 44.5
Multibacillary 488 55.5
Clinical type
Indeterminate 173 19.7
Tuberculoid 219 24.9
Dimorphous 282 32.1
Lepromatous 205 23.3
Origin of infection
Autochthonous 785 89.3
Imported 94 10.7
Total 879 100.0

We found a statistically significant association between the operational type and age group (p <0.001). The incidence of the paucibacillary type decreased with increasing age (the detection rate of the paucibacillary type was 2.43 times higher in individuals <15 years old than in those aged ≥60 years; Table 2). We also detected a reduction in the number of cases recorded in individuals aged <15 years of age between 2010 and 2015.

TABLE 2: New cases of leprosy based by age group and operational classification, Buriticupu, Maranhão, 2003-2015. 

Age group, years Operational classification Total p* DR 95% CI
PB MB
n % n %
<15 41 67.2 20 32.8 61 2.43 (1.77-3.32)
15-19 44 55.7 35 44.3 79 2.01 (1.45-2.79)
20-29 91 48.1 98 51.9 189 1.74 (1.29-2.34)
30-39 74 51.0 71 49.0 145 <0.001 1.84 (1.36-2.50)
40-49 47 37.0 80 63.0 127 1.34 (0.95-1.89)
50-59 53 40.8 77 59.2 130 1.47 (1.06-2.05)
≥60 41 27.7 107 72.3 148 REF 1.00

*Tested with the Chi-square test of independence. CI: confidence interval; DR: detection rate; MB: multibacillary; PB: paucibacillary.

Male sex and the multibacillary type exhibited an even stronger association (p <0.001; Table 3). The probability of the multibacillary type was almost two times higher in men than in women (detection rate [DR] 1.64, 95% confidence interval [95% CI] 1.41-1.92; Table 3). There was a higher proportion of leprosy cases of all clinical types in men (p <0.001); this was particularly evident for the dimorphous and lepromatous types, for which men accounted for 74.5% and 78.5% of cases, respectively. Regarding DRs, the lepromatous and dimorphous types were 1.56 and 1.48 times more common in men than the indeterminate type (Table 4).

TABLE 3: Cases of leprosy by sex and operational classification, Buriticupu, Maranhão, 2003-2015. 

Sex Operational classification Total p* DR 95% CI
PB MB
n % n %
Male 208 35.9 371 64.1 579 <0.001 1.64 (1.41-1.92)
Female 183 61.0 117 39.0 300 REF 1.00

*Tested with the Chi-square test of independence. CI: confidence interval; DR: detection rate; MB: multibacillary; PB: paucibacillary.

TABLE 4: Cases of leprosy by clinical type and sex, Buriticupu, Maranhão, 2003-2015. 

Clinical type Sex Total p* DR 95% CI
Male Female
n % n %
Undetermined 87 50.3 86 49.7 173 <0.001 REF 1.00
Tuberculoid 121 55.3 98 44.7 219 1.10 (0.91-1.33)
Dimorphous 210 74.5 72 25.5 282 1.48 (1.26-1.74)
Lepromatous 161 78.5 44 21.5 205 1.56 (1.32-1.84)

*Tested with the Chi-square test of independence. CI: confidence interval; DR: detection rate.

This study showed a significant reduction in the number of cases of leprosy over time and a decreasing trend in the annual detection rate per 100,000 population. However, the municipality remained hyperendemic throughout the assessed period, as evidenced by the historical series that showed the highest rate of cases in 2003 (DR 211.09/100,000 population; 116 cases) and the lowest rate in 2015 (DR 50.26/100,000 population; 36 cases), with fluctuations in the years 2007, 2010, and 2013 (Figure 1).

FIGURE 1: Historical series of the number of detected cases of leprosy and its detection rate in Buriticupu, Maranhão, 2003-2015. 

DISCUSSION

Leprosy is on the list of neglected diseases; it is associated with poverty indicators such as illiteracy, inadequate dwelling, disorganized urban growth, and ineffective healthcare services16. In this study, leprosy was detected predominantly in the 20−29-year age group, which is in line with the results obtained in studies conducted in Betim, state of Minas Gerais, by Savassi et al.17, in the state of Tocantins by Monteiro et al.18, and in the state of Maranhão by Passos et al.19. In the municipality of Campos dos Goytacazes, state of Rio de Janeiro20, leprosy was more frequent in individuals aged <15 years. The higher DR of cases in age group 20-29 years in our study and the fact that men accounted for a higher percentage of cases in all age groups can likely be explained our analysis of data derived from the Brazilian Institute of Geography and Statistics21 that show a significant proportion of young male individuals in the labor market. On this subject, Lastória and Abreu22 stated that the clinical progression of leprosy requires a long incubation period and complex system of host-pathogen interactions, which may favor the infection of individuals that coincide with the most productive and socially interactive years.

Similar to our findings, other studies have reported the paucibacillary type in the age group <15 years and an association between the multibacillary types and an advanced age23-25. These results suggest that the municipality of Buriticupu is an area of leprosy expansion with active transmission due to the maintenance of the bacilliferous sources and a persistence of a late diagnosis.

Our finding of the significant association between the male sex and the multibacillary types of leprosy (p <0.001) are similar to those obtained by Passos et al.19 who reported that the probability of the multibacillary type in men was twice as high as in women. In contrast, a study conducted in Uberaba, Minas Gerais, found a significant association between the female sex and the multibacillary type of leprosy (p <0.05), with the incidence of this type in women being four times higher than in men26. The diagnosis of the multibacillary type of leprosy and its high association with the male sex may be explained by the affected individuals not being aware of the initial symptoms and/or by their work not being affected. Therefore, these patients may delay in seeking healthcare interventions, and the disease is allowed to progress.

The results of this study show that the leprosy DRs tended to decline from 2004 onward. However, several factors such as changes in municipal management, fluctuations in primary healthcare center teams, and a higher input from the active search of cases, may have affected the detection curve at three distinct moments, namely in 2007, 2010, and 2013.

Based on our analysis, we could determine that in Buriticupu, the goals that were originally set in the control program (a detection rate of <100 cases per 100,000 population and reducing disease transmission in individuals <15 of age years) were met. However, the identified DRs classify the municipality as hyperendemic for leprosy, according to the parameters defined by the Brazilian Ministry of Health5; this reflects the persistence of active transmission and a late diagnosis of the disease. In this context, disease control actions are ongoing, with the aim of reaching the goal set by the National Plan for the Elimination of Leprosy, i.e., a detection rate <1 case per 100,000 population5,27.

The epidemiological dynamics of leprosy in Buriticupu are complex, and in general, disease occurrence remains associated with epidemiological determinants and historical factors despite epidemiological indicators pointing toward a reduction in the number of cases. Leprosy in Brazil has been associated with economic changes and serious environmental problems such as deforestation, which expanded the transmission of endemic diseases that were previously more common in rural areas, such as leprosy28.

Our findings appear to be related to the historical development of the surveyed area in the state of Maranhão, which has been marked by social and economic problems and where leprosy has been present ever since the current municipality of Buriticupu was only an area of agricultural colonization29. According to Dias, Dias, and Nobre30, the social and economic indicators of a population should be discussed by health professionals because in addition to being risk factors for illness, they are a form of assessing the implementation of public health policies focused on endemic control according to the reality of each population. Ribeiro Júnior, Vieira, and Caldeira31 highlighted the importance of integrating control measures into primary healthcare services to consolidate the control of leprosy; however, they point out challenges related to the autonomy of Brazilian municipalities to organize their health services as well as political and administrative challenges such as low qualification and uninformed municipal managers. They believe that the organizational and structural faults of the Brazilian Unified Public Health System cannot be overlooked and that factors such as the lack of physicians or the long wait times for an appointment with a specialist favor the transmission cycle of leprosy. Investing in measures that promote and strengthen decentralization, a greater qualification of multi-professional teams, the ongoing improvement of information systems, structuring, and the continuity of an active search for cases are important for increasing the effectiveness of leprosy diagnosis, treatment, control, and eradication31,32.

In addition to contributing to the specific research field, the present study aimed at providing a benefit for and application of the obtained data in the study population. Moreover, we expect that our results will promote discussions among managers, social representatives, and healthcare teams in the region so that new goals in the control and eradication of leprosy in the municipality can be achieved.

Acknowledgments

We thank the professionals of the Buriticupu Municipal Health Department for their hospitality. We also thank the patients participating in this research for the valuable collaboration that allowed the performance of this work; last, we thank the brave settlers of Buriticupu.

REFERENCES

1. Opromolla PA, Laurenti R. Hansen’s disease control in the State of São Paulo: a historical analysis. Rev Saude Publica. 2011;45(1):195-203. [ Links ]

2. Rodrigues LC, Lockwood DN. Leprosy now: epidemiology, progress, challenges, and research gaps. Lancet Infect Dis. 2011;11(6):464-70. [ Links ]

3. World Health Organization. Global Leprosy Strategy 2016 -2020: Accelerating towards a leprosy-free world. India: WHO; 2016. Available from: http://www.searo.who.int/entity/global_leprosy_programme/documents/global_leprosy_strategy_2020/en/. [ Links ]

4. World Health Organization. Global leprosy update, 2014: need for early case detection. Geneva: WHO; 2015;90(36):461-74. Available from: http://www.who.int/lep/resources/who_wer9036/en/. [ Links ]

5. Brazil, Ministry of Health. Guidelines for surveillance, care, and elimination of leprosy as a public health problem 2016. 1st ed. Brasília: Ministry of Health; 2016. Available from: https://pt.scribd.com/document/323388710/Diretrizes-para-vigilancia-atencao-e-eliminacao-da-hanseniase-como-problema-de-saude-publica-2016. [ Links ]

6. SINAN/SVS/MS. Active registry: number and percentage, New cases of leprosy: number, rate and percentage, age group, operational classification, gender, degree of incapacity, examined contacts, by state and region, Brazil, 2015. Ministry of Health; 2014. Available from: http://portalarquivos.saude.gov.br/images/pdf/2015/julho/27/Dados-2014---final.pdf. [ Links ]

7. Silva AR, Portela EGL, Matos WB, Silva CCB, Gonçalves EGR. Leprosy in the municipality of Buriticupu, State of Maranhão: active search among the student population. Rev Soc Bras Med Trop. 2007;40(6):657-60. [ Links ]

8. Silva AR, Matos WB, Silva CCB, Gonçalves EGR. Leprosy in Buriticupu, State of Maranhão: active search for cases in the adult population. Rev Soc Bras Med Trop . 2010;43(6):691-4. [ Links ]

9. Silva AR, Santos ARR, Santos ARR, Santos GMC, Silva VEB, Gonçalves EGR. Leprosy in Buriticupu, State of Maranhão: active search in the general population. Rev Soc Bras Med Trop . 2012;45(2):199-202. [ Links ]

10. Ridley DS, Jopling WH. A classification of leprosy for research purposes. Lepr Rev. 1962;33:119-28. [ Links ]

11. World Health Organization. Chemotherapy of leprosy for control programmes. Tech Rep Ser. 1982;675:1-33. [ Links ]

12. Organização Pan-Americana da Saúde. Enhanced global strategy for further reducing the disease burden due to leprosy: 2011-2015: operational guidelines (updated). Unidade Técnica Informação em Saúde, Gestão do Conhecimento e Comunicação da OPAS/OMS - Represent do Bras; 2010. Available from: http://www.paho.org/bra/index.php?option=com_docman&task=doc_view&gid=1045&Itemid=965. [ Links ]

13. IBM Corp. IBM SPSS Statistics [Internet]. Armonk, NY; 2013. [ Links ]

14. Callegari-Jacques SM. Bioestatística - Princípios e Aplicações. Porto Alegre: Artmed; 2003. 264 p. [ Links ]

15. Schiaffino A, Rodríguez M, Pasarín MI, Regidor E, Borrell C, Fernández E. Odds ratio or prevalence ratio? Their use in cross-sectional studies. Gac Sanit. 2003;17(1):70-4. [ Links ]

16. Hino P, Villa TCS, Cunha TN da, Santos CB dos. Spatial distribution of endemic diseases in Ribeirão Preto, São Paulo State. Cien Saude Colet. 2011;16:1289-94. [ Links ]

17. Savassi LCM, Bogutchi TRS, Oliveira APS, Modena CM. The influence of the compulsory internment in Leprosarium in the Quality of Life of Caregivers and Patients with Leprosy Sequel. Hansenol Int. 2009;34(2):21-31. [ Links ]

18. Monteiro LD, Martins-Melo FR, Brito AL, Lima M da S, Alencar CH, Heukelbach J, et al. Leprosy trends in Tocantins, a hyperendemic State in the North of Brazil, 2001-2012. Cad Saude Publica. 2015;31(5):971-80. [ Links ]

19. Passos CE de C, Silva AR da, Gonçalves E da G do R, Neiva FGC, Monteiro SG. Leprosy in Maranhão state: analysis of control strategies and the impact on epidemiological indicators. Hygeia. 2016;12(22):88-100. [ Links ]

20. Lobo JR, Barreto JCC, Alves LL, Crispim LC, Barreto L de A, Duncan LR, et al. Epidemiological profile of patients diagnosed with leprosy by contact exam in the municipality of Campos dos Goytacazes, RJ. Rev Bras Clínica Médica. 2011;9(4):283-7. [ Links ]

21. Brazilian Institute of Geography and Statistics. Demographic Census 2010. General characteristics of the population, religion and people with disabilities. Rio de Janeiro; 2012. Available from: http://biblioteca.ibge.gov.br/visualizacao/periodicos/94/cd_2010_religiao_deficiencia.pdfLinks ]

22. Lastória JC, Abreu MAMM de. Leprosy: diagnosis and treatment. Diagn Trat. 2012;17(4):5-8. [ Links ]

23. Silva MEG da C, Souza CDF de, Silva SPC e, Costa FM da, Carmo RF do, Silva MEG da C, et al. Epidemiological aspects of leprosy in Juazeiro-BA, from 2002 to 2012. An Bras Dermatol. 2015;90(6):799-805. [ Links ]

24. Sousa AA de, Oliveira FJF de, Costa ACP de J, Neto MS, Cavalcante EF de O, Ferreira AGN. Adhesion to hansen’s disease treatment for patients monitored at basic health units in Imperatriz-MA. Rev SANARE. 2013;12(1):6-12. [ Links ]

25. Souza CDF de, Rocha W de JSA da F, Lima RS de. Epidemiological profile of endemic leprosy in children under 15 years in the municipality of Juazeiro, Bahia, since 2003 until 2012. Hygeia. 2015;11(20):53-65. [ Links ]

26. Miranzi S de SC, Pereira LH de M, Nunes AA. Epidemiological profile of leprosy in a Brazilian municipality between 2000 and 2006. Rev Soc Bras Med Trop . 2010; 43(1):62-7. [ Links ]

27. Brazilian Ministry of Health. Epidemiological status of leprosy in Brazil: an analysis of select indicators in the 2001-2010 period. Health Brazil 2010: An analysis of the health situation and select evidence of the impact of health surveillance actions. 2013;44(35):185-202. Available from: http://portal.saude.gov.br/portal/arquivos/pdf/cap_9_saude_brasil_2010.pdf. [ Links ]

28. Barreto ML, Teixeira MG, Bastos FI, Ximenes RA, Barata RB, Rodrigues LC. Successes and failures in the control of infectious diseases in Brazil: social and environmental context, policies, interventions, and research needs. Lancet. 2011;377(9780):1877-89. [ Links ]

29. Silva AR. Agricultural colonization of Buriticupu: history told by those who lived it. 2nd ed. São Luís: EDUFMA; 2015. 304p. [ Links ]

30. Dias MCF de S, Dias GH, Nobre ML. Spatial Distribuition of hansen disease in the municipality of Mossoró/RN, using the Geographic Infromation System - (GIS). An Bras Dermatol . 2005;80:S289-94. [ Links ]

31. Ribeiro Júnior AF, Vieira MA, Caldeira AP. Epidemiological profile of leprosy in an endemic city for leprosy in the North of Minas Gerais. Rev Bras Clin Med. 2012;10(4):272-7. [ Links ]

32. Ministry of Health. Saúde Brasil 2010. An analysis of the health situation and select evidence of the impact of measures of health surveillance. 1st edition. Saúde Brasil 2010: an analysis of the health situation and selected evidence of the impact of health surveillance actions. Brasília: Editora MS; 2011. Available from: http://bvsms.saude.gov.br/bvs/publicacoes/saude_brasil_2010.pdf. [ Links ]

Received: February 19, 2018; Accepted: October 08, 2018

Corresponding author: Dr. Antônio Rafael da Silva. e-mail:credip@ufma.br

Conflict of Interest: The authors declare that there is no conflict of interest.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License