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DOI 10.1016/j.annepidem.2012.12.009

Медицинская библиотека · Annals of epidemiology · 2013

Multicenter study on the value of ICD-9-CM codes for case identification of celiac disease.

Tanpowpong Pornthep, Broder-Fingert Sarabeth, Obuch Joshua C, Rahni David O, Katz Aubrey J, Leffler Daniel A, Kelly Ciaran P, Camargo Carlos A

СтатьяМногоцентровое исследованиеПеревод пока не подготовлен

Аннотация

PURPOSE: To evaluate the value of ICD-9-CM code for identifying celiac disease (CD).

METHODS

We searched administrative data to identify all adults with ICD-9-CM diagnosis code 579.0 (CD) at three teaching hospitals between 2000 and 2010. We then stratified patients according to the presence/absence of relevant serology and endoscopy codes into four groups: None, serology, endoscopy, and both. A diagnostic algorithm was applied to define CD status.

RESULTS

Through random sampling and appropriate weighting, the 1200 reviewed patients represented a cohort of 8,122 cases. The overall positive predictive value (PPV) of the ICD-9-CM code was 15% (95% confidence interval [CI], 13%-17%). Case identification by a diagnosis code alone had a PPV of 4%, whereas the group with diagnosis code plus both serology and endoscopy testing had a PPV of 49%. Independent predictors of CD were non-Hispanic white, ICD-9-CM-coded patient group, total number of a diagnosis code, and receiving a diagnosis code by a gastroenterologist. The model had an area under the curve of 0.87 (95% CI, 0.84-0.89).

CONCLUSIONS

The performance of ICD-9-CM 579.0 alone for identifying CD is extremely poor. Adding other readily available administrative data significantly improves CD case identification. The proposed case finding strategy via administrative databases may facilitate future research on CD.

Для цитирования: Tanpowpong Pornthep, Broder-Fingert Sarabeth, Obuch Joshua C, Rahni David O, Katz Aubrey J, Leffler Daniel A, Kelly Ciaran P, Camargo Carlos A. Multicenter study on the value of ICD-9-CM codes for case identification of celiac disease.. Annals of epidemiology. 2013. DOI: 10.1016/j.annepidem.2012.12.009.

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