| Autor: |
Shailja C. Shah, Rohan Gupta, Ranier Bustamante, Mark Lamm, Hanin Yassin, Ashley Earles, Adriana Hung, Alese Halvorson, Robert Greevy, Samir Gupta, Joshua Demb, Lin Liu, Christianne L. Roumie |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Gastro Hep Advances, Vol 3, Iss 1, Pp 78-83 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2772-5723 |
| DOI: |
10.1016/j.gastha.2023.09.005 |
| Popis: |
Background and Aims: There are limited contemporary population-based data on Helicobacter pylori epidemiology and outcomes in the United States. Our primary aim was to create a validated cohort of veterans with H pylori testing or treatment using Veterans Health Administration data. Methods: Using Veterans Health Administration structured and unstructured data, we developed and validated 4 algorithms for H pylori infection (3 algorithms) and treatment status (1 algorithm). During the development phase, we iteratively modified each algorithm based on a manual review of random sets of electronic health records (reference standard). The a priori validation goal was to achieve a one-sided 95% confidence lower bound (LB) for positive predictive value (PPV) and/or negative predictive value (NPV) >90%. We applied the Bonferroni correction when both PPV and NPV were relevant. Results: For H pylori infection, we achieved 99.0% PPV (LB = 94.6%) and 100% NPV (LB = 96.4%) for discriminating H pylori positive vs negative status using structured (ie, laboratory tests) and 95% PPV (LB = 90.3%) and 97.9% NPV (LB = 93.9%) using unstructured (ie, histopathology reports) data. Diagnostic codes achieved 98% PPV (LB = 93.0%) for H pylori diagnosis. The treatment algorithm was composed of multiple antimicrobial combinations and overall achieved ≥98% PPV (LB = 93.0%) for H pylori treatment, except for amoxicillin/levofloxacin (PPV |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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