Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm

J Neurosurg Pediatr. 2016 May;17(5):519-24. doi: 10.3171/2015.10.PEDS15370. Epub 2016 Jan 22.

Abstract

OBJECTIVE Administrative billing data may facilitate large-scale assessments of treatment outcomes for pediatric Chiari malformation Type I (CM-I). Validated International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code algorithms for identifying CM-I surgery are critical prerequisites for such studies but are currently only available for adults. The objective of this study was to validate two ICD-9-CM code algorithms using hospital billing data to identify pediatric patients undergoing CM-I decompression surgery. METHODS The authors retrospectively analyzed the validity of two ICD-9-CM code algorithms for identifying pediatric CM-I decompression surgery performed at 3 academic medical centers between 2001 and 2013. Algorithm 1 included any discharge diagnosis code of 348.4 (CM-I), as well as a procedure code of 01.24 (cranial decompression) or 03.09 (spinal decompression or laminectomy). Algorithm 2 restricted this group to the subset of patients with a primary discharge diagnosis of 348.4. The positive predictive value (PPV) and sensitivity of each algorithm were calculated. RESULTS Among 625 first-time admissions identified by Algorithm 1, the overall PPV for CM-I decompression was 92%. Among the 581 admissions identified by Algorithm 2, the PPV was 97%. The PPV for Algorithm 1 was lower in one center (84%) compared with the other centers (93%-94%), whereas the PPV of Algorithm 2 remained high (96%-98%) across all subgroups. The sensitivity of Algorithms 1 (91%) and 2 (89%) was very good and remained so across subgroups (82%-97%). CONCLUSIONS An ICD-9-CM algorithm requiring a primary diagnosis of CM-I has excellent PPV and very good sensitivity for identifying CM-I decompression surgery in pediatric patients. These results establish a basis for utilizing administrative billing data to assess pediatric CM-I treatment outcomes.

Keywords: CM = Chiari malformation; CM-I = CM Type I; CM-II = CM Type II; CPT = Current Procedural Terminology; CU = Columbia University; Chiari malformation Type I; IDC-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification; IQR = interquartile range; PPV = positive predictive value; VU = Vanderbilt University Medical Center; WU = Washington University Medical Center; administrative data research; health services research; neurosurgery; validation studies.

Publication types

  • Multicenter Study
  • Validation Study

MeSH terms

  • Adolescent
  • Algorithms*
  • Arnold-Chiari Malformation / surgery*
  • Child
  • Child, Preschool
  • Confounding Factors, Epidemiologic
  • Databases, Factual
  • Decompression, Surgical*
  • False Negative Reactions
  • Female
  • Humans
  • Infant
  • International Classification of Diseases
  • Laminectomy*
  • Male
  • Midwestern United States
  • New England
  • Predictive Value of Tests
  • Reproducibility of Results
  • Retrospective Studies
  • Sensitivity and Specificity
  • Southeastern United States
  • Treatment Outcome