1. Identifying monoclonal gammopathy of undetermined significance from electronic health records.
- Author
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Tanenbaum HC, Birmann BM, Bertrand KA, Teras LR, Krishnan AY, Pourhassan H, Goldsmith S, Cannavale K, Wang SS, and Chao CR
- Subjects
- Humans, Electronic Health Records, Risk Factors, Predictive Value of Tests, Monoclonal Gammopathy of Undetermined Significance diagnosis, Monoclonal Gammopathy of Undetermined Significance epidemiology, Multiple Myeloma diagnosis, Multiple Myeloma epidemiology
- Abstract
Background: Monoclonal gammopathy of undetermined significance (MGUS) precedes multiple myeloma (MM). Use of electronic health records may facilitate large-scale epidemiologic research to elucidate risk factors for the progression of MGUS to MM or other lymphoid malignancies., Aims: We evaluated the accuracy of an electronic health records-based approach for identifying clinically diagnosed MGUS cases for inclusion in studies of patient outcomes/ progression risk., Methods and Results: Data were retrieved from Kaiser Permanente Southern California's comprehensive electronic health records, which contain documentation of all outpatient and inpatient visits, laboratory tests, diagnosis codes and a cancer registry. We ascertained potential MGUS cases diagnosed between 2008 and 2014 using the presence of an MGUS ICD-9 diagnosis code (273.1). We initially excluded those diagnosed with MM within 6 months after MGUS diagnosis, then subsequently those with any lymphoid malignancy diagnosis from 2007 to 2014. We reviewed medical charts for 100 randomly selected potential cases for evidence of a physician diagnosis of MGUS, which served as our gold standard for case confirmation. To assess sensitivity, we also investigated the presence of the ICD-9 code in the records of 40 randomly selected and chart review-confirmed MGUS cases among patients with a laboratory report of elevated circulating monoclonal (M-) protein (a key test for MGUS diagnosis) and no subsequent lymphoid malignancy (as described above). The positive predictive value (PPV) for the ICD-9 code was 98%. All MGUS cases confirmed by chart review also had confirmatory laboratory test results. Of the confirmed cases first identified via M-protein test results, 88% also had the ICD-9 diagnosis code., Conclusion: The diagnosis code-based approach has excellent PPV and likely high sensitivity for detecting clinically diagnosed MGUS. The generalizability of this approach outside an integrated healthcare system warrants further evaluation., (© 2022 The Authors. Cancer Reports published by Wiley Periodicals LLC.)
- Published
- 2023
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