Validation of an electronic algorithm for Hodgkin and non-Hodgkin lymphoma in ICD-10-CM
Division of Geriatric Medicine, Department of Medicine; Meyers Primary Care Institute
Epidemiology | Health Information Technology | Hemic and Lymphatic Diseases | Neoplasms | Pharmacy and Pharmaceutical Sciences | Translational Medical Research
PURPOSE: Lymphoma is a health outcome of interest for drug safety studies. Studies using administrative claims data require the accurate identification of lymphoma cases. We developed and validated an International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM)-based algorithm to identify lymphoma in healthcare claims data.
METHODS: 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.
RESULTS: We identified 8723 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.
CONCLUSIONS: Seventy-seven percent of lymphoma cases identified by an algorithm based on ICD-10-CM diagnosis and procedure codes and applied to claims data were true cases. This novel algorithm represents an efficient, cost-effective way to target an important health outcome of interest for large-scale drug safety and public health surveillance studies.
algorithm, lymphoma, pharmacoepidemiology, validation, UMCCTS funding
DOI of Published Version
Epstein MM, Dutcher SK, Maro JC, Saphirak C, DeLuccia S, Ramanathan M, Dhawale T, Harchandani S, Delude C, Hou L, Gertz A, DiNunzio N, McMahill-Walraven CN, Selvan MS, Vigeant J, Cole DV, Leishear K, Gurwitz JH, Andrade S, Cocoros NM. Validation of an electronic algorithm for Hodgkin and non-Hodgkin lymphoma in ICD-10-CM. Pharmacoepidemiol Drug Saf. 2021 Jul;30(7):910-917. doi: 10.1002/pds.5256. Epub 2021 May 5. PMID: 33899311; PMCID: PMC8205565. Link to article on publisher's site
Pharmacoepidemiology and drug safety
Epstein MM, Saphirak C, Delude C, Gurwitz JH, Andrade SE. (2021). Validation of an electronic algorithm for Hodgkin and non-Hodgkin lymphoma in ICD-10-CM. UMass Center for Clinical and Translational Science Supported Publications. https://doi.org/10.1002/pds.5256. Retrieved from https://escholarship.umassmed.edu/umccts_pubs/267