Billing code algorithms to identify cases of peripheral artery disease from administrative data.

The model-based algorithm picked up 1314 of these missed cases, at a cost of 502 additional false positives, and provided highly significant incremental information (p<0.0001) within this group of patients.

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The code 440.29—‘Atherosclerosis of other native arteries of the extremities’ did not reach statistical significance level (p<0.001), because only a small number of patients (74) in the entire dataset had this code (440.29).

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