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10.3171/2015.10.PEDS15370

http://scihub22266oqcxt.onion/10.3171/2015.10.PEDS15370
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suck abstract from ncbi


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pmid26799412
      J+Neurosurg+Pediatr 2016 ; 17 (5 ): 519-24
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  • Chiari malformation Type I surgery in pediatric patients Part 1: validation of an ICD-9-CM code search algorithm #MMPMID26799412
  • Ladner TR ; Greenberg JK ; Guerrero N ; Olsen MA ; Shannon CN ; Yarbrough CK ; Piccirillo JF ; Anderson RC ; Feldstein NA ; Wellons JC 3rd ; Smyth MD ; Park TS ; Limbrick DD Jr
  • J Neurosurg Pediatr 2016[May]; 17 (5 ): 519-24 PMID26799412 show ga
  • 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.
  • |*Algorithms [MESH]
  • |*Decompression, Surgical [MESH]
  • |*Laminectomy [MESH]
  • |Adolescent [MESH]
  • |Arnold-Chiari Malformation/*surgery [MESH]
  • |Child [MESH]
  • |Child, Preschool [MESH]
  • |Confounding Factors, Epidemiologic [MESH]
  • |Databases, Factual [MESH]
  • |False Negative Reactions [MESH]
  • |Female [MESH]
  • |Humans [MESH]
  • |Infant [MESH]
  • |International Classification of Diseases [MESH]
  • |Male [MESH]
  • |Midwestern United States [MESH]
  • |New England [MESH]
  • |Predictive Value of Tests [MESH]
  • |Reproducibility of Results [MESH]
  • |Retrospective Studies [MESH]
  • |Sensitivity and Specificity [MESH]
  • |Southeastern United States [MESH]


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