The influence of ML Flow test in leprosy classification.

Area of Science:

• Medical Microbiology
• Public Health
• Epidemiology

Background:

• Leprosy diagnosis relies on clinical and laboratory methods, including bacilloscopy.
• Accurate classification into paucibacillary (PB) and multibacillary (MB) forms is crucial for effective treatment and disease control.
• The ML Flow diagnostic tool was introduced to potentially improve leprosy classification.

Purpose of the Study:

• To evaluate the agreement between the ML Flow test, bacilloscopy, and clinical classification of leprosy.
• To assess the impact of ML Flow implementation on the proportion of multibacillary leprosy cases.
• To determine the influence of ML Flow on leprosy control strategies in Minas Gerais, Brazil.

Main Methods:

• A descriptive, exploratory study involving 1,041 new leprosy cases across 13 municipalities.
• Correlation analysis between ML Flow, bacilloscopy, and classification of skin lesions and final patient type (PB/MB).
• Comparison of multibacillary case proportions in health centers participating versus not participating in the ML Flow study.

Main Results:

• Moderate agreement was observed between ML Flow and skin lesion/bacilloscopy classification (K:0.51, K:0.48).
• Substantial agreement was found between ML Flow and the final leprosy classification (K:0.77).
• A significant decrease in the proportion of new MB cases was observed, particularly in centers utilizing ML Flow (73.1% to 53.3%).

Conclusions:

• The ML Flow test demonstrated a beneficial impact on patient classification in leprosy management.
• Implementation of ML Flow contributed to a reduction in multibacillary leprosy diagnoses.
• The study suggests ML Flow is a valuable tool for improving leprosy control programs in endemic areas.