A cost-effectiveness analysis of a novel algorithm to sequentially diagnose leprosy based on manufactured tests under the SUS perspective.

Brazil has the second largest number of leprosy cases (a disease with a significant burden) in the world. Despite global and local efforts to eliminate this public health problem, inadequate or late diagnosis contribute to perpetuate its transmission, especially among household contacts. Tests such as the rapid IgM antibody detection (RT) and real-time polymerase chain reaction (RT-PCR) were developed to overcome the challenges of early diagnosis of leprosy. This study aimed to analyze the cost-effectiveness of a new diagnostic algorithm recommended by the Brazilian government to diagnose leprosy in household contacts of confirmed leprosy cases, which includes the RT and RT-PCR tests. A decision tree model was constructed and the perspective of the Brazilian Unified National Health System (SUS) and a 1-year time horizon were adopted. Only direct medical costs related to diagnostic tests were included. Effectiveness was measured as the number of avoided undiagnosed leprosy cases. Different scenarios were analyzed. The sequential use of RT, slit-skin smear (SSS) microscopy, and RT-PCR as recommended by the Brazilian Ministry of Health was compared to a base case (isolated SSS microscopy), yielding an incremental cost-effectiveness ratio of USD 616.46 per avoided undiagnosed leprosy case. Univariate sensitivity analysis showed that the prevalence of leprosy among household contacts was the variable that influenced the model the most. This is the first economic model to analyze a diagnostic algorithm of leprosy. Results may aid managers to define policies and strategies to eradicate leprosy in Brazil.

Factors associated with delayed diagnosis of leprosy in an endemic area in Northeastern Brazil: a cross-sectional study.

This study aimed to investigate the factors related to the individual and the health system that contribute to delayed diagnosis of leprosy in an endemic area in the Northeastern Brazil. This is a cross-sectional study of 120 individuals with leprosy. Demographic and clinical data and information on the factors related to the individual and the health system that contribute to delayed diagnosis of leprosy were obtained. Delayed diagnosis in months was estimated for each participant by interviews. A multivariate Poisson's regression analysis was performed between the outcome and the independent variables. The median delay in the diagnosis of leprosy was 10.5 (4.0-24.0) months. Approximately 12.6% of participants had grade 2 disability (G2D) at the time of diagnosis. In the multivariate Poisson regression analysis, males, older age, low schooling level, residing in urban areas, multibacellar or tuberculoid leprosy, not seeking healthcare immediately after symptom onset, suspected leprosy, excessive referrals, and the need for three or more consultations to confirm the diagnosis were associated with longer diagnostic delay. This study found a significant delay in the diagnosis of leprosy in Arapiraca, Northeastern Brazil, which may explain the continuously high rate of G2D among new cases. Factors related to the individual and the health system were associated with longer diagnostic delay. Interventions to raise awareness of the disease among the general population and strengthen primary health care are urgently needed.

Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy.

BACKGROUND: The occurrence of adverse drug events (ADEs) during dapsone (DDS) treatment in patients with leprosy can constitute a significant barrier to the successful completion of the standardized therapeutic regimen for this disease. Well-known DDS-ADEs are hemolytic anemia, methemoglobinemia, hepatotoxicity, agranulocytosis, and hypersensitivity reactions. Identifying risk factors for ADEs before starting World Health Organization recommended standard multidrug therapy (WHO/MDT) can guide therapeutic planning for the patient. The objective of this study was to develop a predictive model for DDS-ADEs in patients with leprosy receiving standard WHO/MDT. METHODOLOGY: This is a case-control study that involved the review of medical records of adult (≥18 years) patients registered at a Leprosy Reference Center in Rio de Janeiro, Brazil. The cohort included individuals that received standard WHO/MDT between January 2000 to December 2021. A prediction nomogram was developed by means of multivariable logistic regression (LR) using variables. The Hosmer-Lemeshow test was used to determine the model fit. Odds ratios (ORs) and their respective 95% confidence intervals (CIs) were estimated. The predictive ability of the LRM was assessed by the area under the receiver operating characteristic curve (AUC). RESULTS: A total of 329 medical records were assessed, comprising 120 cases and 209 controls. Based on the final LRM analysis, female sex (OR = 3.61; 95% CI: 2.03-6.59), multibacillary classification (OR = 2.5; 95% CI: 1.39-4.66), and higher education level (completed primary education) (OR = 1.97; 95% CI: 1.14-3.47) were considered factors to predict ADEs that caused standard WHO/MDT discontinuation. The prediction model developed had an AUC of 0.7208, that is 72% capable of predicting DDS-ADEs. CONCLUSION: We propose a clinical model that could become a helpful tool for physicians in predicting ADEs in DDS-treated leprosy patients.

Characterization of cases and epidemiological and operational indicators of leprosy: analysis of time series and spatial distribution, Piauí state, Brazil, 2007-2021.

OBJECTIVE: To analyze epidemiological characteristics, temporal trends and spatial distribution of leprosy cases and indicators in the state of Piauí, 2007-2021. METHODS: This was an ecological time-series study using data from the Notifiable Health Conditions Information System, describing the spatial distribution and the temporal trend of leprosy using Prais-Winsten regression. RESULTS: A total of 17,075 new cases of leprosy were reported. There was a falling trend in the overall detection rate [annual percentage change (APC) = -6.3; 95%CI -8.1;-4.5)], detection in children under 15 years of age (APC = -8,6; 95%CI -12,7;-4,3) and detection of cases with grade 2 physical disability (APC = -4,4; 95%CI -7,0;-1,8). There was a rising trend in the proportion of multibacillary cases. Spatial distribution of the average detection rate identified hyperendemic areas in the Carnaubais, Entre Rios, Vale dos Rios Piauí e Itaueiras regions. CONCLUSION: High leprosy detection rates were found, despite the falling trend of indicators, except the proportion of multibacillary cases. MAIN RESULTS: Between 2007 and 2021, Piauí showed an improving trend in all indicators analyzed, except the proportion of new multibacillary cases. Spatial distribution identified hyperendemic areas in different regions of the state. IMPLICATIONS FOR SERVICES: This study provides health services with a broad overview of the epidemiological situation of leprosy in Piauí, with evidence of the populations and locations most affected by the disease, whereby public authorities need to reinforce the promotion of health actions. PERSPECTIVES: It is expected that actions to prevent and control the disease will be adopted, such as offering early diagnosis, ensuring correct treatment and implementing measures to prevent physical disabilities.

A web-based survey to map the electromyography practice in Brazil.

BACKGROUND: Detailed information about the electromyography practice in Brazil is largely unavailable. OBJECTIVE: To evaluate where and how electromyography is performed in Brazil, as well as regional disparities and the professional and academic credentials of electromyographers. METHODS: We conducted an internet-based survey of active Brazilian electromyographers. The websites of health insurance companies, professional academies, medical cooperatives, online search engines, and social networks in each Brazilian state were screened and we evaluated the credentials of each electromyographer listed in the Brazilian Federal Medical Board (BFMB) registration website and their online curricula vitae in the Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, in Portuguese). We also evaluated the same parameters in a control group of non-electromyographer neurologists randomly matched by geographical distribution and gender. RESULTS: We found 469 electromyographers (384 neurologists and 85 non-neurologists), with a male predominance. In total, 81.9% were BFMB-certified neurologists, 49.9%, BFMB-certified clinical neurophysiologists, and 10.4%, BFMB-certified physiatrists. Among the non-neurologists, 48.2% were physiatrists. Most electromyographers practiced in states on the Southern and Southeastern regions of Brazil. When adjusted by population, the Federal District and the states of Mato Grosso do Sul and Goiás presented the highest of eletromyographers density. Electromyographers were not more likely to have current/past academic affiliations. CONCLUSION: In Brazil, electromyography is performed predominantly by neurologists, and half of them are BFMB-certified clinical neurophysiologists. The present study highlights regional disparities and may guide government-based initiatives, for instance, to improve the diagnosis of leprosy and the management of neuromuscular disorders within the Brazilian territory.

ANTECEDENTES: Informações detalhadas sobre a prática de eletromiografia no Brasil são em grande parte indisponíveis. OBJETIVO: Avaliar onde e como a eletromiografia é realizada no Brasil, as disparidades regionais, e as credenciais profissionais e acadêmicas dos eletromiografistas. MéTODOS: Realizamos uma enquete via internet de eletromiografistas brasileiros ativos. Foram rastreados sites de operadoras de planos de saúde, academias profissionais médicas, cooperativas médicas, ferramentas de busca online e redes sociais em cada estado brasileiro. Em seguida, avaliamos as credenciais de cada eletromiografista listado no site de registro do Conselho Federal de Medicina (CFM) e seus curricula vitae online no Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Também avaliamos os mesmos parâmetros em um grupo controle de neurologistas não eletromiografistas pareados aleatoriamente por distribuição geográfica e gênero. RESULTADOS: Encontramos 469 eletromiografistas (384 neurologistas e 85 não neurologistas), com predominância do sexo masculino. Ao todo, 81,9% eram neurologistas com certificação confirmada pelo site do CFM, 49,9%, neurofisiologistas clínicos com certificação confirmada pelo site do CFM, e 10,4%, fisiatras com certificação confirmada pelo mesmo site. Entre os não neurologistas, 48,2% eram fisiatras. A maioria dos eletromiografistas atuava nos estados do Sul e do Sudeste. Quando ajustados pela população, o Distrito Federal e os estados de Mato Grosso do Sul e Goiás apresentaram a maior densidade de eletromiografistas. Os eletromiografistas não eram mais propensos a ter vínculos acadêmicos atuais/passados. CONCLUSãO: No Brasil, a eletromiografia é realizada predominantemente por neurologistas, e metade deles são neurofisiologistas clínicos com certificação confirmada pelo site do CFM. Este estudo destacou as disparidades regionais, e pode orientar ações governamentais para, por exemplo, melhorar o diagnóstico da hanseníase e o manejo das doenças neuromusculares no território brasileiro.

Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance.

This ecological study identified an aggregation of urban neighbourhoods spatial patterns in the cumulative new case detection rate (NCDR) of leprosy in the municipality of Rondonópolis, central Brazil, as well as intra-urban socioeconomic differences underlying this distribution. Scan statistics of all leprosy cases reported in the area from 2011 to 2017 were used to investigate spatial and spatiotemporal clusters of the disease at the neighbourhood level. The associations between the log of the smoothed NCDR and demographic, socioeconomic, and structural characteristics were explored by comparing multivariate models based on ordinary least squares (OLS) regression, spatial lag, spatial error, and geographically weighted regression (GWR). Leprosy cases were observed in 84.1% of the neighbourhoods of Rondonópolis, where 848 new cases of leprosy were reported corresponding to a cumulative NCDR of 57.9 cases/100,000 inhabitants. Spatial and spatiotemporal high-risk clusters were identified in western and northern neighbourhoods, whereas central and southern areas comprised low-risk areas. The GWR model was selected as the most appropriate modelling strategy (adjusted R²: 0.305; AIC: 242.85). By mapping the GWR coefficients, we identified that low literacy rate and low mean monthly nominal income per household were associated with a high NCDR of leprosy, especially in the neighbourhoods located within high-risk areas. In conclusion, leprosy presented a heterogeneous and peripheral spatial distribution at the neighbourhood level, which seems to have been shaped by intra-urban differences related to deprivation and poor living conditions. This information should be considered by decision-makers while implementing surveillance measures aimed at leprosy control.

The geographical distribution and socioeconomic risk factors of COVID-19, tuberculosis and leprosy in Fortaleza, Brazil.

BACKGROUND: Fortaleza (Brazil) is high endemic for coronavirus disease 2019 (COVID-19), tuberculosis (TB) and leprosy. These three diseases share respiratory droplets through coughing or sneezing as the main mode of transmission but differ in incubation time, with COVID-19 having a short and leprosy a long incubation time. Consequently, contacts of a patient are at higher risk of infection and developing these diseases. There might be scope for combined preventive measures, but a better understanding of the geographical distribution and relevant socioeconomic risk factors of the three diseases is needed first. This study aims to describe the geographic distribution of COVID-19, TB and leprosy incidence and to identify common socioeconomic risk factors. METHODS: The total number of new cases of COVID-19, TB and leprosy, as well as socioeconomic and demographic variables, were retrieved from official registers. The geographical distribution of COVID-19, TB and leprosy rates per neighbourhood was visualised in Quantum GIS, and spatial autocorrelation was measured with Moran's I in GeoDa. A spatial regression model was applied to understand the association between COVID-19, TB, leprosy rates, and socioeconomic factors. RESULTS: COVID-19 and TB showed a more homogenous distribution, whereas leprosy is located more in the south and west of Fortaleza. One neighbourhood (Pedras) in the southeast was identified as high endemic for all three diseases. Literacy was a socioeconomic risk factor for all three diseases: a high literacy rate increases the risk of COVID-19, and a low literacy rate (i.e., illiteracy) increases the risk of TB and leprosy. In addition, high income was associated with COVID-19, while low income with TB. CONCLUSIONS: Despite the similar mode of transmission, COVID-19, TB and leprosy show a different distribution of cases in Fortaleza. In addition, associated risk factors are related to wealth in COVID-19 and to poverty in TB and leprosy. These findings may support policymakers in developing (partially combined) primary and secondary prevention considering the efficient use of resources.

Clinical-epidemiological characteristics and temporal trend of new cases of grade 2 disability leprosy in the state of Maranhão, Brazil, 2011- 2020.

MAIN RESULTS: Out of 2,147 grade 2 disability leprosy cases, the majority were male, of mixed race/skin color, multibacillary and borderline. The São Luís regional health unit showed a falling trend. IMPLICATIONS FOR SERVICES: The results can guide strategies for the leprosy control program in the state, aiming at new approaches towards early diagnosis, treatment and prevention of disabilities. PERSPECTIVES: Further studies are needed, such as spatial distribution of cases and detection rates of leprosy in children under 15 years of age, in order to gain a better understanding of the epidemiological profile of leprosy in Maranhão. OBJECTIVE: to describe the clinical and epidemiological characteristics of new cases of grade 2 disability leprosy and to analyze its trend in the state of Maranhão, from 2011 to 2020. METHODS: this was a descriptive cross-sectional and ecological time-series study, using data from the Notifiable Health Conditions Information System. A descriptive analysis of the event was carried out according to the sociodemographic and clinical-laboratory characteristics of the cases. The temporal trend of event incidence was analyzed using Prais-Winsten regression. RESULTS: of the 2,147 cases, 71.5% were male, 48.9% had up to 8 years of schooling, 66.5% were of mixed race/color, 95.5% had the multibacillary form, 58.8% were borderline, 32.3% had negative bacilloscopy at diagnosis. There was a stationary trend in the state and a falling trend in the São Luís Health Region (annual percentage change = -64.4%; 95% confidence interval: -73.7;-51.9). CONCLUSION: incidence trend was stable in the state of Maranhão and falling in São Luís.

Leprosy prevalence spatial distribution and trend in a health region in Northeast Brazil, 2008-2017: an ecological study.

MAIN RESULTS: A total of 4,029 leprosy cases were notified. Mean prevalence varied between 2.0 and 11.5 cases/10,000 inhab. Spatial distribution of the cases was heterogeneous and there was a falling prevalence trend over the years studied. IMPLICATIONS FOR SERVICES: These findings point to the need to strengthen active tracing strategies and expand health actions and services targeting leprosy, with the aim of increasing detection and early treatment of cases. PERSPECTIVES: It is important to carry out epidemiological investigations on the spatial distribution and prevalence of leprosy in other health regions in the state, in order to identify other areas with greater vulnerability to leprosy. OBJECTIVE: to analyse the spatial distribution and trend of leprosy in municipalities of a health region in a Northeast Brazilian state. METHODS: this was an ecological time-series study based on compulsory notification of leprosy cases by the municipalities covered by the Imperatriz-MA Regional Health Management Unit, between 2008 and 2017; prevalence and mean prevalence for the period were calculated; spatial analysis of the area was carried out and maps were generated using ArcGis 10.5. Prais-Winsten regression was used for trend analysis. RESULT: 4,029 cases of the disease were identified, and average prevalence ranged from 2.0 to 11.5 cases/10,000 inhabitants-year. The overall trend was downward. Governador Edson Lobão had the highest prevalence, 11.5 cases/10,000 inhabitants, and Lajeado Novo had the lowest prevalence, 2.0 cases/10,000 inhabitants. CONCLUSION: spatial distribution of leprosy cases was heterogeneous in the municipalities studied and prevalence had a falling trend.

Leprosy and tuberculosis control scenario of the national program for the improvement of access and quality of primary care in Brazil.

BACKGROUND: In Brazil, despite advances in public health policies aimed at eliminating and controlling infectious and parasitic diseases, the incidence of neglected diseases is still high. The epidemiological scenario in Brazil of diseases such as tuberculosis and leprosy evidences a public policy agenda that has not been resolute in terms of control, nor in terms of elimination. OBJECTIVE: To analyze the actions of diagnosis and treatment of leprosy and tuberculosis in the context of primary health care. METHODS: In this ecological study, data from the third cycle of the Program for the Improvement of Access and Quality of Primary Care were extracted from electronic address of the Primary Health Care Secretariat of Brazil in the area of Actions, Programs and Strategies. A total of 37,350 primary health care teams were that answered the questionnaire were eligible, with variables extracted from leprosy and tuberculosis control actions. The municipalities were grouped according to the characteristic of the Brazilian municipality. The partition chi-square and the Residuals Test were used to assess whether there was a difference in the proportion of tuberculosis and leprosy actions between types of municipalities. Statistics were carried out using Minitab 20 and Bioestat 5.3. RESULTS: Regarding the leprosy treatment location, there is a higher proportion of people referred to be treated at the reference in adjacent rural (p = 0.0097) and urban (p < 0.0001) municipalities; monitoring of people with leprosy referred to the service network (p. = 0.0057) in remote rural areas. Lower proportion of teams requesting bacilloscopy in remote rural areas (p = 0.0019). Rural areas have a higher proportion of teams that diagnose new cases (p = 0.0004). Regarding the actions of diagnosis and treatment of tuberculosis. There is a higher proportion of teams that carry out consultations at the unit itself in rural areas when compared to adjacent intermediaries (p = 0.0099) and urban (p < 0.0001); who requested sputum smear microscopy in adjacent intermediaries (p = 0.0021); X-ray in adjacent intermediaries (p < 0.0001) and urban (p < 0.0001); collection of the first sputum sample in urban (p < 0.0001) and adjacent rural areas (p < 0.0001); directly observed treatment (p < 0.0001) in adjacent rural municipalities. CONCLUSION: There are inequalities in the diagnosis and treatment of leprosy and tuberculosis among the types of municipalities.

Factors associated with multibacillary leprosy in a region of northeastern Brazil.

INTRODUCTION: The analysis of factors associated with multibacillary leprosy is important for the development of strategies to mitigate the disease, which persists as a public health problem in Brazil and the world. The objective of this study was to verify the associations between sociodemographic and clinical-epidemiological variables and multibacillary leprosy in the state of northeastern Brazil. METHODOLOGY: This is a cross-sectional, analytical, and retrospective study, with a quantitative approach, carried out in 16 municipalities in the southwest of Maranhão State, northeastern Brazil. All cases of leprosy reported between January 2008 and December 2017 were considered. Sociodemographic and clinical-epidemiological variables were analyzed using descriptive statistics. The identification of the risk factors associated with multibacillary leprosy was conducted using Poisson regression models. The prevalence ratios and respective 95% confidence intervals were estimated using regression coefficients at a 5% significance level. RESULTS: A total of 3,903 leprosy cases were analyzed. Individuals older than 15 years, males, with less than 8 years of education, with level I, II, or "not evaluated" disability, and with type 1 or 2 or both reactional states were more likely to have multibacillary leprosy. Therefore, these characteristics may be considered risk factors. No protective factors were identified. CONCLUSIONS: The investigation revealed important associations between risk factors and multibacillary leprosy. The findings can be considered during the creation of strategies to control and combat the disease.

Spatial analysis of the epidemiological risk of leprosy in the municipalities of Minas Gerais.

BACKGROUND: Leprosy remains a significant public health problem of high importance. This investigation aims to analyze the spatial distribution of the leprosy epidemiological risk in the municipalities of Minas Gerais. METHODS: This ecological study was conducted with new leprosy cases diagnosed from 2004 to 2019 in the municipalities of the state of Minas Gerais. Based on the epidemiological indicators, a composite indicator called the leprosy epidemiological risk index was estimated, classifying municipalities as high, medium, low and very low risk. For the spatial analysis, the global and local spatial autocorrelation statistics were used to identify the spatial distribution of the leprosy epidemiological risk in the periods 2004-2011 and 2012-2019 and classified as High/High, Low/Low, High/Low and Low /High. RESULTS: Although leprosy is declining in the state of Minas Gerais, the Global Moran Index confirmed the spatial dependence between municipalities for the two analyzed periods, characterizing the formation of clusters. When performing the local spatial autocorrelation, it was found that the macroregions with the highest number of municipalities with high indices, surrounded by other municipalities with high indices (high-high), were Northwest, East, South East, North, and Northeast. The low risk macroregions were Southeast, Center, South-Center and South. CONCLUSION: Leprosy has a heterogeneous spatial pattern and remains concentrated in historically endemic areas of the state. It underscores the importance of intensifying actions to combat leprosy in these municipalities and macroregions. Promote improved access to health services and combat stigma and prejudice to eliminate leprosy as a public health problem.

Evaluation of completeness, consistency and non-duplication of leprosy notification data on the Notifiable Health Conditions Information System, João Pessoa, Paraíba, Brazil: a descriptive study, 2001-2019.

OBJECTIVE: to analyze the completeness, consistency and non-duplication of leprosy notification data in João Pessoa, Paraíba, Brazil, 2001-2019. METHODS: this was a descriptive study, conducted with data from the Notifiable Health Conditions Information System, which checked for "duplication" (acceptable: < 5%), "completeness" (excellent = incompleteness ≤ 5%) and "consistency" (excellent: ≥ 90.0%), based on the proportion of complete and consistent fields. RESULTS: the sample consisted of 2,410 notifications. Duplication was acceptable (0.3%). The completeness of the "bacilloscopy", "affected nerves", "examined contacts" and "reactive episode" fields was very poor (more than 50% incomplete). Consistency between the "operational classification" and "initial treatment regimen" fields was excellent (99.6%), while consistency between "operational classification" and "clinical form" was low (50.7%). CONCLUSION: although duplication was acceptable, poor completeness of diagnosis and follow-up fields hinders epidemiological analysis, recognition of the status of the disease and adoption of measures to control it.

Self-reported clinical history of misdiagnosed leprosy cases in the State of Mato Grosso, Brzil, 2016-2019.

This study aimed to analyze the self-reported clinical history of patients misdiagnosed with leprosy in the State of Mato Grosso, Brazil. This is a cross-sectional study of new leprosy cases diagnosed in the State of Mato Grosso from 2016 to 2019, with individuals who were released from multidrug therapy due to misdiagnosis after starting treatment. Data were collected via telephone interviews. Over the study period, 354 leprosy cases were released from treatment due to misdiagnosis, of which 162 (45.8%) could be interviewed. All interviewees expressed dissatisfaction with their treatment, which prompted them to seek a reevaluation of their diagnosis before they were released due to "misdiagnosis". Among them, 35.8% received a final diagnosis of a musculoskeletal or connective tissue disease - mainly fibromyalgia and degenerative changes in the spine - followed by 13.6% with diagnoses of skin and subcutaneous tissue diseases. For 23.5% of the respondents, no alternative diagnosis was established, whereas 7.4% were later re-diagnosed with leprosy. Fibromyalgia and spinal problems were the most common alternative diagnoses for erroneous leprosy. Although the diagnosis of leprosy is usually clinical and does not require access to technical infrastructure in most cases, some more complex situations require diagnostic support via complementary tests, as well as close collaboration between primary care and reference services.

Temporal trend, high-risk spatial and spatiotemporal clustering of leprosy indicators in Brazil: A 20-year ecological and population-based study.

OBJECTIVES: Leprosy still represents a public health concern in Brazil. The country is the only one in America not to reach the global goal of leprosy disease control. Hence, this study aimed to assess the temporal, spatial and space-time patterns of leprosy cases in Brazil of the 20-year time series 2001-2020. METHODS: An ecological and population-based analysis was carried out, applying temporal and spatial techniques, and using the detection coefficient of sociodemographic and clinical-epidemiological variables of leprosy new cases in the 5570 municipalities of Brazil. Temporal trends were assessed using a segmented linear regression model. For spatial analysis, global and local Moran indexes were applied, and space-time scan statistics was used to identify risk clusters. RESULTS: The mean detection coefficient was 19.36/100,000 inhabitants, with a higher occurrence among men (21.29/100,000 inhabitants) and in the 60-69 age group (36.31/100,000). A decreasing temporal trend was observed in the country (annual percentage change: -5.20% per year). The North and Midwest regions were the most affected, exhibiting municipalities with a high/high standard, and with the highest annual percentage increase of multibacillary (MB) cases. Leprosy has a heterogeneous distribution throughout Brazil, but with high-risk spatiotemporal clusters, mainly located in the North and Midwest regions. CONCLUSION: Although Brazil has shown a decreasing temporal trend during the past 20 years, the country is still classified as highly endemic for leprosy, showing an increase in the proportion of new MB cases over the years.

Epidemiological characteristics of leprosy from 2000 to 2019 in a state with low endemicity in southern Brazil.

BACKGROUND: Leprosy is an infectious and contagious disease caused by Mycobacterium leprae and is mainly characterized by lesions in the skin and peripheral nerves. In Brazil, it is a public health problem due to its high endemicity. However, the state of Rio Grande do Sul presents low endemicity of this disease. OBJECTIVE: To characterize the epidemiological profile of leprosy in the state of Rio Grande do Sul from 2000 to 2019. METHODS: This was a retrospective observational study. Epidemiological data were collected from the Notifiable Diseases Information System (SINAN, Sistema de Informação de Agravos de Notificação). RESULTS: Among the 497 municipalities in the state, 357 (71.8%) registered cases of leprosy in the assessed period, with an average of 212 (81.5%) new cases per year. The average detection rate was 1.61 new cases per 100,000 inhabitants. The male sex was predominant (51.9%) and the mean age was 50.4 years. Regarding the epidemiological clinical profile; 79.0% of the patients were multibacillary; 37.5% presented the borderline clinical form; 16% had grade 2 physical disability at diagnosis and bacilloscopy was positive in 35.4% of cases. As for treatment, 73.8% of the cases were treated with the standard multibacillary therapeutic regimen. STUDY LIMITATIONS: There were missing/inconsistent data in the database available. CONCLUSIONS: The findings observed in this study indicate that the state presents a low endemicity profile of the disease and these results can support adequate health policies relevant to the reality of Rio Grande do Sul, inserted in a national scenario of highly endemic leprosy.

Genetic diversity of Mycobacterium leprae in the state of São Paulo, an area of low-leprosy incidence in Brazil.

BACKGROUND: Brazil has the second largest number of leprosy cases worldwide, and the state of São Paulo has been considered non-endemic since 2006. METHODS: We analyzed 16 variable number tandem repeats loci and three single nucleotide polymorphisms loci of Mycobacterium leprae (M. leprae) in 125 clinical isolates from patients in different municipalities in the state. RESULTS: The clustering pattern of M. leprae indicated that the transmission of leprosy persisted in the state and included scenarios of intra-extra-familial transmission in areas with low endemicity. CONCLUSIONS: A significantly active circulation of M. leprae was observed. Therefore, surveillance and control measures must be implemented.

ML Flow serological test: complementary tool in leprosy.

BACKGROUND: The evaluation of household contacts of leprosy cases allows the early diagnosis of new cases. OBJECTIVE: To associate the results of the ML Flow test with the clinical characteristics of leprosy cases and to verify their positivity in household contacts, in addition to describing the epidemiological profile of both. METHODS: Prospective study with patients diagnosed over the course of one year (n = 26), without prior treatment, and their household contacts (n = 44) in six municipalities in northwestern São Paulo, Brazil. RESULTS: There was a predominance of men among the leprosy cases, of 61.5% (16/26); 77% (20/26) were over 35 years old; 86.4% (22/26) were multibacillary; 61.5% (16/26) had a positive bacilloscopy; and 65.4% (17/26) had no physical disability. The ML Flow test was positive in 53.8% (14/26) of the leprosy cases and was associated with those who had a positive bacilloscopy and were diagnosed as multibacillary (p-value <0.05). Among the household contacts, 52.3% (23/44) were women and aged over 35 years; 81.8% (36/44) had been vaccinated with BCG ‒ Bacillus Calmette-Guérin. The ML Flow test was positive in 27.3% (12/44) of household contacts, all of whom lived with multibacillary cases; seven lived with positive bacilloscopy cases and six with consanguineous cases. STUDY LIMITATIONS: Difficulty in convincing the contacts to undergo the evaluation and collection of the clinical sample. CONCLUSION: The ML Flow test, when positive in household contacts, can help the identification of cases that require more attention by the health team, as it indicates a predisposition to disease development, especially when they are household contacts of multibacillary cases, with positive bacilloscopy and consanguineous. The ML Flow test also helps in the correct clinical classification of the leprosy cases.

Spatial patterns of new leprosy cases in a northeastern state of Brazil, 2011-2021.

OBJECTIVE: To analyze the spatial patterns of leprosy in Pernambuco from 2011 to 2021. METHODS: This is an ecological epidemiological study, carried out with data from the Notifiable Diseases Information System, based on new cases of leprosy among inhabitants of Pernambuco, between 2011-2021. An empirical Bayesian analysis of local and spatial dependence was performed with the global and local Moran indices. RESULTS: 25,008 new cases of leprosy were registered with an annual case detection rate in the general population of 16.51 cases/100,000 inhabitants - which is considered high. Among those younger than 15 years of age, there were 5.16 cases/100,000 inhabitants (high) and 0.89/100,000 inhabitants with degree II of physical disability (low); there were also many high-risk cases with an overall Moran index of 0.33 (p<0.001), active transmission (0.26; p<0.001), and subsequent diagnosis of the disease (0.12; p<0.006), as well as distribution in macro-region 1 and macro-region 4. CONCLUSION: There was a heterogeneous spatial distribution in the state, showing two overviews, the first being the presence of municipalities with high risk of disease transmission and the second with clusters of silent municipalities, reinforcing the character of leprosy neglect as a major public health problem. This study brings reflections for leprosy control actions, due to the identification of priority areas to combat this disease in Pernambuco.

Assessment of neuropathic pain, functional activity limitation and quality of life of people affected by leprosy in an endemic area in Northeast Brazil: a cross-sectional study.

BACKGROUND: This study investigated the prevalence of neuropathic pain (NP) among people affected by leprosy and its effects on functional limitation and health-related quality of life (HRQoL) in an endemic area in Northeast Brazil. METHODS: This is a cross-sectional study of 122 leprosy patients. Functional limitation and HRQoL were assessed using the Screening of Activity Limitation and Safety Awareness (SALSA) and WHO Quality-of-Life (WHOQoL-BREF) scales, respectively. Participants were assessed for the presence of pain and completed the Douleur Neuropathique 4 and the Brief Pain Inventory scales. RESULTS: The prevalence of NP was 59%. Participants with NP had higher SALSA scores than those without pain (median; IQR: 42; 32-49.5 vs 27.5; 24-34; p=0.002). Increasing SALSA scores were related to decreasing WHOQoL-BREF scores in the physical (r=-0.54; p<0.001), psychological (r=-0.33; p=0.002) and environmental (r=-0.22; p=0.01) domains, but not in the social domain (r=-0.14; p=0.10). Individuals with NP had the lowest scores in all domains compared with individuals without pain. CONCLUSIONS: Appropriate tools and training of clinicians for diagnosing NP in leprosy patients are necessary for their appropriate management and better HRQoL outcomes.