Abstract

PurposeMedication-related osteonecrosis of jaw (MRONJ) is associated with certain drug therapies. Pharmacoepidemiologic studies often rely on electronic healthcare data to assess adverse events following drug exposure. Few studies have developed and validated claims-based MRONJ identification algorithms. This study assessed the performance of claims-based MRONJ algorithms by chart review of potential cases among postmenopausal (PM) women and women with postmenopausal osteoporosis (PMO).MethodsAmong PM and PMO women sourced from a large US commercial health insurance database affiliated with Optum, potential cases were identified by International Classification of Diseases, 9th and 10th Revisions (ICD-9, ICD-10) diagnosis codes; 200 were selected for chart retrieval, with the goal of obtaining 100 charts in each coding era. Procured charts were redacted and then reviewed by an oral surgeon who determined case status. Positive predictive values (PPV) and 95% confidence intervals (CI) were calculated overall, by cohorts, and coding eras. Baseline characteristics were assessed. Two potential algorithm refinements were explored: using a restricted set of ICD codes; requiring antibiotic use after MRONJ diagnosis.ResultsA total of 1273 potential cases were identified. Of the 200 potential cases selected, 104 (52%) were procured, and six cases were confirmed (PPV 5.8%, 95% CI 2.2, 12.1). Baseline characteristics were largely similar across all strata. Potential algorithm refinements yielded marginal PPV improvement.ConclusionThis study identified a small number of confirmed cases, and the resulting PPVs were low, but consistent with reported studies. Potential algorithm refinements yielded minimal improvements. To our knowledge, this study is the first to report on the identification of MRONJ using ICD-10 codes in the US.

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