Literature DB >> 17159120

Accuracy and yield of ICD-9 codes for identifying children with ischemic stroke.

Meredith R Golomb1, Bhuwan P Garg, Chandan Saha, Linda S Williams.   

Abstract

The medical records of all children at our hospital with International Classification of Diseases 9th revision (ICD-9) codes 342, 433 to 438, or 767 from May 1999 to May 2004 were reviewed to assess whether they had stroke (any type) or, specifically, arterial ischemic stroke (AIS). Code accuracy ranged from 37 to 88%; each code missed more than half of AIS identified by the combined code search. Studies are needed to determine whether other local and national ICD-9 databases have similar limitations.

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Year:  2006        PMID: 17159120     DOI: 10.1212/01.wnl.0000247281.98094.e2

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  33 in total

1.  Pediatric stroke: clinical characteristics, acute care utilization patterns, and mortality.

Authors:  Kimberly D Statler; Li Dong; Denise M Nielsen; Susan L Bratton
Journal:  Childs Nerv Syst       Date:  2010-10-05       Impact factor: 1.475

Review 2.  A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data.

Authors:  Susan E Andrade; Leslie R Harrold; Jennifer Tjia; Sarah L Cutrona; Jane S Saczynski; Katherine S Dodd; Robert J Goldberg; Jerry H Gurwitz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

3.  Validity of international classification of disease codes to identify ischemic stroke and intracranial hemorrhage among individuals with associated diagnosis of atrial fibrillation.

Authors:  Jonathan L Thigpen; Chrisly Dillon; Kristen B Forster; Lori Henault; Emily K Quinn; Yorghos Tripodis; Peter B Berger; Elaine M Hylek; Nita A Limdi
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-01-13

4.  Accuracy of administrative billing codes to detect urinary tract infection hospitalizations.

Authors:  Joel S Tieder; Matthew Hall; Katherine A Auger; Paul D Hain; Karen E Jerardi; Angela L Myers; Suraiya S Rahman; Derek J Williams; Samir S Shah
Journal:  Pediatrics       Date:  2011-07-18       Impact factor: 7.124

5.  Predictors of outcome in childhood intracerebral hemorrhage: a prospective consecutive cohort study.

Authors:  Lauren A Beslow; Daniel J Licht; Sabrina E Smith; Phillip B Storm; Gregory G Heuer; Robert A Zimmerman; Alana M Feiler; Scott E Kasner; Rebecca N Ichord; Lori C Jordan
Journal:  Stroke       Date:  2009-12-17       Impact factor: 7.914

6.  Pediatric stroke in the United States and the impact of risk factors.

Authors:  Warren Lo; Julie Stephens; Soledad Fernandez
Journal:  J Child Neurol       Date:  2009-02       Impact factor: 1.987

7.  Intracerebral hemorrhage volume predicts poor neurologic outcome in children.

Authors:  Lori C Jordan; Jonathan T Kleinman; Argye E Hillis
Journal:  Stroke       Date:  2009-03-12       Impact factor: 7.914

8.  Frequency of hematoma expansion after spontaneous intracerebral hemorrhage in children.

Authors:  Lauren A Beslow; Rebecca N Ichord; Melissa C Gindville; Jonathan T Kleinman; Rachel A Bastian; Sabrina E Smith; Daniel J Licht; Argye E Hillis; Lori C Jordan
Journal:  JAMA Neurol       Date:  2014-02       Impact factor: 18.302

9.  The excess burden of stroke in hospitalized adults with sickle cell disease.

Authors:  John J Strouse; Lori C Jordan; Sophie Lanzkron; James F Casella
Journal:  Am J Hematol       Date:  2009-09       Impact factor: 10.047

10.  Imaging data reveal a higher pediatric stroke incidence than prior US estimates.

Authors:  Nidhi Agrawal; S Claiborne Johnston; Yvonne W Wu; Stephen Sidney; Heather J Fullerton
Journal:  Stroke       Date:  2009-09-17       Impact factor: 7.914

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