Validation of an International Classification of Diseases, Ninth Revision Code Algorithm for Identifying Chiari Malformation Type 1 Surgery in Adults.

Published

Journal Article

BACKGROUND: The use of administrative billing data may enable large-scale assessments of treatment outcomes for Chiari Malformation type I (CM-1). However, to utilize such data sets, validated International Classification of Diseases, Ninth Revision (ICD-9-CM) code algorithms for identifying CM-1 surgery are needed. OBJECTIVE: To validate 2 ICD-9-CM code algorithms identifying patients undergoing CM-1 decompression surgery. METHODS: We retrospectively analyzed the validity of 2 ICD-9-CM code algorithms for identifying adult CM-1 decompression surgery performed at 2 academic medical centers between 2001 and 2013. Algorithm 1 included any discharge diagnosis code of 348.4 (CM-1), as well as a procedure code of 01.24 (cranial decompression) or 03.09 (spinal decompression, or laminectomy). Algorithm 2 restricted this group to patients with a primary diagnosis of 348.4. The positive predictive value (PPV) and sensitivity of each algorithm were calculated. RESULTS: Among 340 first-time admissions identified by Algorithm 1, the overall PPV for CM-1 decompression was 65%. Among the 214 admissions identified by Algorithm 2, the overall PPV was 99.5%. The PPV for Algorithm 1 was lower in the Vanderbilt (59%) cohort, males (40%), and patients treated between 2009 and 2013 (57%), whereas the PPV of Algorithm 2 remained high (≥99%) across subgroups. The sensitivity of Algorithms 1 (86%) and 2 (83%) were above 75% in all subgroups. CONCLUSION: ICD-9-CM code Algorithm 2 has excellent PPV and good sensitivity to identify adult CM-1 decompression surgery. These results lay the foundation for studying CM-1 treatment outcomes by using large administrative databases.

Full Text

Duke Authors

Cited Authors

  • Greenberg, JK; Ladner, TR; Olsen, MA; Shannon, CN; Liu, J; Yarbrough, CK; Piccirillo, JF; Wellons, JC; Smyth, MD; Park, TS; Limbrick, DD

Published Date

  • August 2015

Published In

Volume / Issue

  • 77 / 2

Start / End Page

  • 269 - 273

PubMed ID

  • 25924208

Pubmed Central ID

  • 25924208

Electronic International Standard Serial Number (EISSN)

  • 1524-4040

Digital Object Identifier (DOI)

  • 10.1227/NEU.0000000000000778

Language

  • eng

Conference Location

  • United States