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. Author manuscript; available in PMC: 2022 Mar 1.
Published in final edited form as: Arthritis Care Res (Hoboken). 2021 Mar;73(3):442–448. doi: 10.1002/acr.24132

Table 3.

Comparison of cohorts identified by algorithms for definite or probable pseudogout applied to the final datamart of 30,089 patients

≥1 billing code Presence of CPP crystals Combined algorithm: topic modeling approach and/or presence of CPP crystals
Number of patients (n) 12,035 1,630 2,490
Age at last medical visit, years 72.8 (15.6) 76.4 (13.0) 76.3 (12.8)
Female 55.6 50.6 50.8
Race
 White 84.7 79.5 81.0
 African American 4.8 8.8 7.8
 Other 10.5 11.7 11.2
≥1 pertinent billing code 100.0 72.6 74.1
≥1 NLP concept “pseudogout” 34.3 86.1 90.8
Synovial fluid crystal analysis performed, regardless of result 18.9 100.0 86.0
Synovial fluid CPP crystals present 9.8 100.0 65.5
Prescription medications in EHR
 Colchicine 17.3 35.1 43.4
 NSAID 59.1 69.1 72.7
 Oral glucocorticoids 44.4 62.9 67.4

Presented as mean (SD) or percentage unless otherwise indicated