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Validation of an Electronic Algorithm for Hodgkin and Non-Hodgkin Lymphoma in ICD-10-CM

    Basic Details

    We developed a three-component algorithm to identify patients aged ≥15 years who were newly diagnosed with Hodgkin (HL) or non-Hodgkin (NHL) lymphoma from January 2016 through July 2018 among members of four Data Partners within the FDA's Sentinel System. The algorithm identified potential cases as patients with ≥2 ICD-10-CM lymphoma diagnosis codes on different dates within 183 days; ≥1 procedure code for a diagnostic procedure (e.g. biopsy, flow cytometry) and ≥1 procedure code for a relevant imaging study within 90 days of the first lymphoma diagnosis code. Cases identified by the algorithm were adjudicated via chart review and a positive predictive value (PPV) was calculated.

    We identified 8,723 potential lymphoma cases via the algorithm and randomly sampled 213 for validation. We retrieved 138 charts (65%) and adjudicated 134 (63%). The overall PPV was 77% (95% Confidence Interval: 69-84%). Most cases also had subtype information available, with 88% of cases identified as NHL and 11% as HL.


    Mara M. Epstein, Sarah K. Dutcher, Judith C. Maro, Cassandra Saphirak, Sandra DeLuccia, Muthalagu Ramanathan, Tejaswini Dhawale, Sonali Harchandani, Christopher Delude, Laura Hou, Autumn Gertz, Nina DiNunzio, Cheryl N. McMahill-Walraven, Mano S. Selvan, Justin Vigeant, David V. Cole, Kira Leishear, Jerry H. Gurwitz, Susan Andrade, Noelle M. Cocoros