AMROrbit: a trajectory-based scorecard for antimicrobial stewardship using routine susceptibility testing data
Year: 2026
Type: article
Abstract: Objectives: , an explainable trajectory-based scorecard to proactively identify emerging AMR patterns using routinely generated antimicrobial susceptibility data. Methods: across four samples. For each antibiotic-microorganism-sample-country combination, yearly resistance percentages were modelled in rolling windows to generate estimates of resistance amplitude (baseline resistance) and velocity (rate of change). The estimates were plotted in a 2D space stratified using global medians into four quadrants. Q1 (ideal; low amplitude, low velocity), Q2 (high, low), Q3 (low, high) and Q4 (concerning; high, high). Temporal trajectories were classified as containment or spiral-in (moving towards Q1), persistent (stable within quadrant) or spiral-out (moving towards Q4). Results: Analysis revealed 62.4% of the combinations demonstrate increasing baseline resistance. Among the 5920 country-level trajectories, 17.7% depicted spiralling-out patterns, compared with only 13.4% spiralling-in, suggesting a concerning global imbalance. The patterns differed across sample-microorganism-antibiotic combinations, highlighting heterogeneity in trajectories across settings. An open-access dashboard and analytical suite are provided to generate trajectory-based stewardship insights from routine antimicrobial susceptibility testing datasets (https://amrorbit.tavlab.iiitd.edu.in:3002/). Conclusions: extends conventional surveillance by jointly characterizing resistance levels and their rate of change within an interpretable trajectory-based framework. This allows emerging resistance patterns to be identified earlier and may support more timely stewardship responses. Its reliance on routinely collected microbiology data supports scalability across diverse health system settings.
Source: JAC-Antimicrobial Resistance
Language: English
Subfield: Applied Microbiology and Biotechnology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,609
OpenAlex ID: W7170050126