While medical guides provide general treatment guidelines, by integrating additional layers of information, igniteABX arrives at a more precise assessment of susceptibility. Moreover, in scenarios involving multiple pathogens, resistances, resistance determinants, local susceptibility rates, orphan markers, and other factors, the complexity pushes the limits of efficient manual interpretation and is best suited for computer-based analysis. This is where the algorithm demonstrates its true value, providing a comprehensive and efficient method for analyzing PCR results.

In short, no. While the report employs advanced analytics to maximize prediction accuracy, it does so within the context of inherently unpredictable biological systems and sometimes scarce scientific data. Certain limitations of PCR testing also play a role. Detected resistance markers may or may not be associated with the pathogen responsible for the disease. The presence of a resistance marker does not invariably correlate with phenotypic resistance, nor does its absence ensure susceptibility. Detected organisms could be colonizers, contaminants, or normal flora, while other, non-tested organisms might be the actual cause of infection. Additionally, the algorithm cannot account for patient-specific factors such as prior antibiotic use or clinical presentation. Despite these limitations, PCR testing can reveal unparalleled insights into an infection, and the report may be an optimal tool to interpret the results efficiently and provide insightful analysis for data-driven decision-making.

Yes. igniteABX algorithm calculates an "estimated susceptibility" score that is based on local resistance data and PCR testing results. Where available, it utilizes state-specific resistance data. Otherwise, it relies on regional resistance data from the NIH. As resistance rates can vary significantly from state to state or even from one facility to another, the user has the option of uploading their preferred local susceptibility data for algorithm integration, further improving its accuracy.

When your PCR testing yields negative results, the algorithm calculates "estimated susceptibility" by adjusting local susceptibility rates for the corresponding antibiotics. This adjustment is based on the percentage of resistance attributed to the tested markers. It is worth noting that the same markers collectively contribute varying percentages in different organisms, as every species has distinct resistance determinants. No adjustment is made if a detected organism does not express these markers.

Orphan markers, identified through PCR testing, are resistance markers not typically associated with the DNA of any detected pathogens. In our algorithm, antibiotic classes are not excluded if resistance is linked to orphan markers. Consequently, a specific antibiotic may appear in both the "Resistant To" and "Results" columns. Despite possible confusion, we highlight resistance due to orphan markers as it provides valuable insights, such as indicating the potential presence of other un-targeted organisms. In the upcoming update of igniteABX, orphan markers will be correlated with likely pathogen hosts.

Additional features are planned for release, notably a report portal tailored for clinicians. This portal will offer additional information specific to each report, such as pathogen and resistance statistics, references and medical literature, infection management best practices, and comprehensive prescription guidelines with dosing calculators for medications like vancomycin and aminoglycosides. Please let us know if there's a particular feature you would like to see included.