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Validation of an International Classification of Disease, Ninth Revision coding algorithm to identify decompressive craniectomy for stroke.
Dasenbrock, Hormuzdiyar H; Cote, David J; Pompeu, Yuri; Vasudeva, Viren S; Smith, Timothy R; Gormley, William B.
Afiliação
  • Dasenbrock HH; Cushing Neurological Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
  • Cote DJ; Cushing Neurological Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
  • Pompeu Y; Cushing Neurological Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
  • Vasudeva VS; Cushing Neurological Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
  • Smith TR; Cushing Neurological Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
  • Gormley WB; Cushing Neurological Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. wgormley@partners.org.
BMC Neurol ; 17(1): 121, 2017 Jun 26.
Article em En | MEDLINE | ID: mdl-28651554
ABSTRACT

BACKGROUND:

Although International Classification of Disease, Ninth Revision, Clinical Modification (ICD9-CM) coding is the basis of administrative claims data, no study has validated an ICD9-CM algorithm to identify patients undergoing decompressive craniectomy for space-occupying supratentorial infarction.

METHODS:

Patients who underwent decompressive craniectomy for stroke at our institution were retrospectively identified and their associated ICD9-CM codes were extracted from billing data. An ICD9-CM algorithm was generated and its accuracy compared against physician review.

RESULTS:

A total of 10,925 neurosurgical operations were performed from December 2008 to March 2015, of which 46 (0.4%) were decompressive craniectomy for space-occupying stroke. The ICD9-CM procedure code for craniectomy (01.25) was only encoded in 67.4% of patients, while craniotomy (01.24) was used in 19.6% and lobectomy (01.39, 01.53, 01.59) in 13.1%. The ICD-9-CM algorithm included patients with a diagnosis codes for cerebral infarction (433.11, 434.01, 434.11, and 434.91) and a procedure code for craniotomy, craniectomy, or lobectomy. Patients were excluded with an ICD9-CM diagnosis code for brain tumor, intracranial abscess, subarachnoid hemorrhage, vertebrobasilar infarction, intracranial aneurysm, Moyamoya disease, intracranial venous sinus thrombosis, vertebral artery dissection, congenital cerebrovascular anomaly, head trauma or an ICD9-CM procedure code for laminectomy. This algorithm had a sensitivity of 97.8%, specificity of 99.9%, positive predictive value of 88.2%, and negative predictive value of 99.9%. The majority of false-positive results were patients who underwent evacuation of a primary intracerebral hematoma.

CONCLUSION:

An ICD-9-CM algorithm based on diagnosis and procedure codes can effectively identify patients undergoing decompressive craniectomy for supratentorial stroke.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infarto Cerebral / Classificação Internacional de Doenças / Acidente Vascular Cerebral / Craniectomia Descompressiva Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Neurol Assunto da revista: NEUROLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infarto Cerebral / Classificação Internacional de Doenças / Acidente Vascular Cerebral / Craniectomia Descompressiva Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Neurol Assunto da revista: NEUROLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos