Evaluation of MicroScan Bacterial Identification Panels for Low-Resource Settings

Area of Science:

• Clinical microbiology
• Diagnostic technology
• Global health

Background:

• Bacterial identification is crucial for effective treatment but challenging in low-resource settings (LRS).
• Médecins Sans Frontières' Mini-lab Project aims to improve diagnostics in LRS.
• Existing identification methods may not be suitable for the constraints of LRS.

Purpose of the Study:

• To evaluate the performance of MicroScan identification panels (Dried Overnight Positive ID Type 3 and Dried Overnight Negative ID Type 2) in LRS.
• To assess the robustness, ease of use, and readability of instructions for MicroScan panels in LRS.
• To identify areas for improvement for adapting diagnostic tools to LRS.

Main Methods:

• Assessed 367 clinical bacterial isolates from LRS using MicroScan PID3 (Gram-positive) and NID2 (Gram-negative) panels.
• Evaluated panel robustness by cross-inoculating Gram-negative on Gram-positive panels and vice versa.
• Assessed ease of use and readability of instructions for use (IFU).

Main Results:

• Achieved 94.6% correct identification for Gram-negative and 85.9% for Gram-positive isolates within the MicroScan database.
• 53.1% of isolates with species not in the database were misidentified.
• Cross-panel testing resulted in 38.2% incorrect identifications; IFU readability was too high for LRS.

Conclusions:

• MicroScan panels offer excellent accuracy for Gram-negative and good accuracy for Gram-positive bacteria in LRS.
• Significant limitations exist regarding database coverage for certain species and panel robustness.
• Improvements in stability, robustness, and user-friendliness are necessary for optimal adaptation to LRS.