Modelagem espacial da hanseníase no estado da Bahia, Brasil, (2001-2015) e determinantes sociais da saúde

Effects of Citric Acid on the Healing Process of Chronic Wound due to Leprosy

Objective: The aim was to describe the effects of the use of citric acid in the healing process of chronic leprosy wounds. Approach: This is a case series, carried out with 5 people with chronic leprosy wounds, under continuous care in an outpatient center wound care in the center-south region of Brazil. The intervention protocol consisted of topical application of 3% citric acid (ointment), on the wound bed, in a thin layer of approximately 2 mm, on alternate days, and followed up for a total period of 8 weeks and secondary coverage rayon and gauze. The cases were analyzed regarding wound dimensions, histology and clinical observation. Results: It was observed in all cases better aspect of the wound bed, presence of granulation tissue and decrease of the inflammatory process with predominance of lymphocytes, reduction of bacterial colonies, increase and verticalization of type I collagen fibers, reduction of type III collagen and increased areas of epithelialization. Innovation: There was also a reduction in the level of pain and exudation after the treatment protocol. Conclusions: Therefore, the use of citric acid in leprosy neuropathic wounds is promising and may be a treatment option, considering its cost, clinical management and possible effect on the chronic inflammatory process.

Forecasting models for leprosy cases: a scoping review protocol

INTRODUCTION

Leprosy is a neglected tropical disease caused by Mycobacterium leprae that mainly affects the skin, the peripheral nerves, the mucosa of the upper respiratory tract and the eyes. Mathematical models and statistical methodologies could play an important role in decision-making and help maintain the gains in elimination programmes. Various models for predicting leprosy cases have been reported in the literature, but they have different settings and distinct approaches to predicting the cases. This study describes the protocol for a scoping review to identify and synthesise information from studies using models to forecast leprosy cases.

METHODS AND ANALYSIS

A scoping review methodology will be applied following the Joanna Briggs Institute methodology for scoping reviews and will be reported according to Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews. We will perform a systematic search from when each database started until April 2022 and we will include the following electronic databases: MEDLINE via PubMed, Embase, Cochrane Library and Latin American and Caribbean Health Science Literature Database. Data will be extracted and recorded on a calibrated predefined data form and will be presented in a tabular form accompanied by a descriptive summary. The Prediction Model Study Risk of Bias Assessment Tool (PROBAST) will be used.

ETHICS AND DISSEMINATION

No ethical approval is required for this study. This scoping review will identify and map the methodological and other characteristics of modelling studies predicting leprosy cases. We hope that the review will contribute to scientific knowledge in this area and act as a basis for researchers designing and conducting leprosy models. This information can also be used to enhance national surveillance systems and to target specific policies. The protocol and consequent publications of this scoping review will be disseminated through peer-reviewed publications and policy briefs.

SYSTEMATIC REVIEW REGISTRATION

This scoping review was registered in the Open Science Framework (https://doi.org/10.17605/OSF.IO/W9375).

Epidemiological, neurofunctional profile and prevalence of factors associated with the occurrence of physical disabilities due to leprosy in a reference center in Northeast Brasil: a sectional study

OBJECTIVE

To describe the epidemiological and neurofunctional profile, as well as the prevalence of factors associated with the occurrence of physical disabilities due to leprosy in a reference center in Northeast Brasil.

METHODS

A cross-sectional study including 50 leprosy patients diagnosed in Juazeiro-Bahia. Variables analyzed: sex, age, history of leprosy in the family, time to diagnosis, clinical form, operational classification, degree of disability, eyes-hand-foot score, peripheral nerve function, muscle strength and sensitivity. Descriptive statistics and inferential statistics (χ² test or Fisher's exact, Poisson regression with robust estimation and prevalence reason were used. Significance of 5%).

RESULTS

An equal distribution was found between men and women of economically active age and low education; multibacillary forms in men (64%) and paucibacillary forms in women (60%). 78% of individuals had some degree of disability and 64% had a compromised ulnar nerve. Plantar sensitivity was decreased in 66% of patients. The predictors of disability were: age ≥45 years (PR 1.44; p=0.005), no education (PR 1.21; p=0.013) and OMP score ≥6 (PR 1.29; p<0.001).

CONCLUSION

The findings show the importance of monitoring neural functions and developing measures that allow early diagnosis, the opportune method and the prevention of disabilities, especially in the male population.

Spatial dynamics of the COVID-19 pandemic in Brazil

The objective of this study was to analyse the dynamics of spatial dispersion of the coronavirus disease 2019 (COVID-19) in Brazil by correlating them to socioeconomic indicators. This is an ecological study of COVID-19 cases and deaths between 26 February and 31 July 2020. All Brazilian counties were used as units of analysis. The incidence, mortality, Bayesian incidence and mortality rates, global and local Moran indices were calculated. A geographic weighted regression analysis was conducted to assess the relationship between incidence and mortality due to COVID-19 and socioeconomic indicators (independent variables). There were confirmed 2 662 485 cases of COVID-19 reported in Brazil from February to July 2020 with higher rates of incidence in the north and northeast. The Moran global index of incidence rate (0.50, P = 0.01) and mortality (0.45 with P = 0.01) indicate a positive spatial autocorrelation with high standards in the north, northeast and in the largest urban centres between cities in the southeast region. In the same period, there were 92 475 deaths from COVID-19, with higher mortality rates in the northern states of Brazil, mainly Amazonas, Pará and Amapá. The results show that there is a geospatial correlation of COVID-19 in large urban centres and regions with the lowest human development index in the country. In the geographic weighted regression, it was possible to identify that the percentage of people living in residences with density higher than 2 per dormitory, the municipality human development index (MHDI) and the social vulnerability index were the indicators that most contributed to explaining incidence, social development index and the municipality human development index contributed the most to the mortality model. We hope that the findings will contribute to reorienting public health responses to combat COVID-19 in Brazil, the new epicentre of the disease in South America, as well as in other countries that have similar epidemiological and health characteristics to those in Brazil.