Leprosy classification methods: a comparative study in a referral center in Brazil

Júnior, Ismael Alves Rodrigues; Gresta, Letícia Trivellato; Noviello, Maria de Lourdes Meirelles; Cartelle, Christiane Teixeira; Lyon, Sandra; Arantes, Rosa Maria Esteves

doi:10.1016/j.ijid.2016.02.018

Cited by 35 publications

(32 citation statements)

References 12 publications

(29 reference statements)

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“…Though we could not find any similar literature on nerve biopsies, a study assessing clinical parameters and skin biopsy data of 49 leprosy patients in Brazil found only 77.6% agreement between the WHO operational classification and the Ridley Jopling classification . Similar to the results of our study, a third of their patients clinically categorized as multibacillary based on number of skin lesion were paucibacillary on histology . In another study from Philippines, of 264 leprosy patients, 15% of the patients with more than five skin lesions showed Indeterminate, Polar Tuberculoid or Borderline Tuberculoid histology on skin biopsy …”

Section: Discussionsupporting

confidence: 79%

“…It can be noted from the results of our study that polar tuberculoid and borderline tuberculoid histology could be seen not uncommonly (29.4%) in cases presenting as multiple mononeuropathy with involvement of more than one nerve on clinical examination ( Table ) . Though we could not find any similar literature on nerve biopsies, a study assessing clinical parameters and skin biopsy data of 49 leprosy patients in Brazil found only 77.6% agreement between the WHO operational classification and the Ridley Jopling classification . Similar to the results of our study, a third of their patients clinically categorized as multibacillary based on number of skin lesion were paucibacillary on histology .…”

Section: Discussionsupporting

confidence: 78%

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Mandating nerve biopsy: A step towards personalizing therapy in pure neuritic leprosy

Kulshreshtha

Malhotra

et al. 2018

J Peripheral Nervous Sys

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Pure neuritic leprosy (PNL) accounts for 5% to 10% of leprosy patients who usually present with asymmetrical neuropathy in the absence of lepra bacilli on slit-skin smears. However, nerve biopsies in PNL lack appropriate categorization in current immunologic terms. We aimed to classify nerve biopsies according to the immune spectrum of leprosy and assess the role of histologic classification of nerve biopsies in treating PNL. Patients from two tertiary care referral centres were enrolled in this incident case study. Patients presenting with mononeuropathy and multiple mononeuropathies presumably with leprosy, without skin lesions, underwent nerve biopsy and slit-skin smear examination. Amongst 78 patients with mononeuropathy, 38 were diagnosed with leprosy on nerve biopsy. Leprosy was classified as tuberculoid in 16, lepromatous in 5 and borderline in 17 patients. Lepra bacilli were present in 15 biopsies. On comparing histologic subtypes with number of nerves involved clinically, a significant number of cases with single nerve involvement showed multibacillary (BB, BL or LL) histology and vice versa. Nerve biopsy helps in diagnosing patients presenting with PNL and aids in classifying it to customize the treatment for best results. Current treatment recommendations for PNL from WHO and National Leprosy Eradication Program are based on clinical assessment only, which are likely to result in inconsistent treatment and possibly relapse in cases where histomorphology shows disparity. Inclusion of nerve biopsy to guide therapy in patients with PNL is suggested.

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Section: Discussionsupporting

confidence: 79%

Section: Discussionsupporting

confidence: 78%

Mandating nerve biopsy: A step towards personalizing therapy in pure neuritic leprosy

Kulshreshtha

Malhotra

et al. 2018

J Peripheral Nervous Sys

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“…Brazil is the country with the second highest number of new cases reported for leprosy [16,17]. The disease is clustered within low and high endemic areas.…”

Section: Discussionmentioning

confidence: 99%

Temporal Analysis Of A Case Series Of Leprosy Patients From A Low Endemic Area In Brazil And The Magnitude Of Disability

Moreno¹,

Azevedo²,

Luna³

et al. 2016

Int Arch Med

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Leprosy is an infectious disease caused by Mycobacterium leprae infection. The incubation period after the primary infection can be as long as decades. This bacterium has a tropism for macrophages and Schwann cells and as result neuropathies are frequent. The state of Rio Grande do Norte in northeastern Brazil has areas of low and high endemicity for leprosy. The aim of this study was to analyze a leprosy time series from Rio Grande do Norte, from 2005 to 2014, based on data provided by the Notifiable Diseases Information System from the State Secretariat of Health. This was a quantitative, descriptive and analytical study. We considered variables such as sex, age, clinical form, operational classification and disability grade at diagnosis. There were 3,426 cases of leprosy reported of which 1,781 were females (52%). Of those patients, 29% presented disability at diagnosis. The high level of disability in patients along with the lack of information regarding disability levels indicates the need for more effective measures, with early diagnosis to decrease morbidity as leprosy still remains as a serious public health problem.

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“…Classification of leprosy using Ridley-Jopling and WHO classification with its detailed information. [20] Comparison of Ridley-Jopling and WHO classification which is better in comparison with other clinical classification and their operational methods [19].Importance and methods of preprocessing in text mining by removal of stop words on an unstructured data to get better output [17]. Creating bags of words, considering combinations of cases, tokenizing and putting it in SVM trained model and measuring using classification parameters such as F1 score [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Clinical Text Mining of Electronic Health Records to Classify Leprosy Patients Cases

Mehta,

Dharamsey,

Domal

et al. 2020

IJITEE

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Leprosy is one of the major public health problems and listed among the neglected tropical diseases in India. It is also called Hansen's Diseases (HD), which is a long haul contamination by microorganisms Mycobacterium leprae or Mycobacterium lepromatosis.Untreated, leprosy can dynamic and changeless harm to the skin, nerves, appendages, and eyes. This paper intends to depict classification of leprosy cases from the main indication of side effects. Electronic Health Records (EHRs) of Leprosy Patients from verified sources have been generated. The clinical notes included in EHRs have been processed through Natural Language Processing Tools. In order to predict type of leprosy, Rule based classification method has been proposed in this paper. Further our approach is compared with various Machine Learning (ML) algorithms like Support Vector Machine (SVM), Logistic regression (LR) and performance parameters are compared.

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Leprosy classification methods: a comparative study in a referral center in Brazil

Cited by 35 publications

References 12 publications

Mandating nerve biopsy: A step towards personalizing therapy in pure neuritic leprosy

Mandating nerve biopsy: A step towards personalizing therapy in pure neuritic leprosy

Temporal Analysis Of A Case Series Of Leprosy Patients From A Low Endemic Area In Brazil And The Magnitude Of Disability

Clinical Text Mining of Electronic Health Records to Classify Leprosy Patients Cases

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