Literature DB >> 19657715

The accuracy of discharge diagnosis coding for Amyotrophic Lateral Sclerosis in a large teaching hospital.

Federica Edith Pisa1, Lorenzo Verriello, Laura Deroma, Daniela Drigo, Paolo Bergonzi, Gian Luigi Gigli, Fabio Barbone.   

Abstract

To evaluate the accuracy of hospital discharge data as a source of Amyotrophic Lateral Sclerosis (ALS) cases for epidemiological studies or disease registries, a validation study was performed. All records of patients discharged in 2005 and 2006 with principal or secondary International Classification of Diseases, 9th rev., Clinical Modification (ICD 9 CM) diagnosis code of ALS (335.20), other anterior horn cell disease (335), spinal cord disease (336), hereditary and idiopathic peripheral neuropathy (356), inflammatory and toxic neuropathy (357), myoneural disorders (358), muscular dystrophies and myopathies (359), were selected from the electronic archive of discharge data of the University Hospital of Udine, Friuli Venezia Giulia Region, North East Italy. Corresponding clinical documentation was reviewed to ascertain the presence of El Escorial criteria, the gold standard. Sensitivity of the ICD 9 CM discharge code 335.20 was 93% (95%CI: 82-99%) and decreased to 91% (95%CI: 77-98%) when suspect ALS was excluded. Specificity was 99% (95%CI: 97-99%). The ICD 9 CM discharge code 335.20 can identify a high percentage of hospitalizations of patients truly affected by ALS and of patients with no ALS, among selected neurological diagnostic codes. To ensure complete ALS case ascertainment, prospective population-based registries or epidemiologic studies require active prospective surveillance and use of multiple sources, among them hospital discharge archives can provide accurate information.

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Year:  2009        PMID: 19657715     DOI: 10.1007/s10654-009-9376-1

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  14 in total

Review 1.  El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis.

Authors:  B R Brooks; R G Miller; M Swash; T L Munsat
Journal:  Amyotroph Lateral Scler Other Motor Neuron Disord       Date:  2000-12

Review 2.  Amyotrophic lateral sclerosis.

Authors:  L P Rowland; N A Shneider
Journal:  N Engl J Med       Date:  2001-05-31       Impact factor: 91.245

3.  Hospitalization in amyotrophic lateral sclerosis: causes, costs, and outcomes.

Authors:  N Lechtzin; C M Wiener; L Clawson; V Chaudhry; G B Diette
Journal:  Neurology       Date:  2001-03-27       Impact factor: 9.910

Review 4.  The epidemiology of ALS and the role of population-based registries.

Authors:  Ettore Beghi; Giancarlo Logroscino; Adriano Chiò; Orla Hardiman; Douglas Mitchell; Robert Swingler; Bryan J Traynor
Journal:  Biochim Biophys Acta       Date:  2006-09-29

Review 5.  Ethnic variation in the incidence of ALS: a systematic review.

Authors:  Simon Cronin; Orla Hardiman; Bryan J Traynor
Journal:  Neurology       Date:  2007-03-27       Impact factor: 9.910

6.  Incidence of ALS in Lombardy, Italy.

Authors:  E Beghi; A Millul; A Micheli; E Vitelli; G Logroscino
Journal:  Neurology       Date:  2007-01-09       Impact factor: 9.910

7.  Validity of hospital discharge diagnoses for the assessment of the prevalence and incidence of amyotrophic lateral sclerosis.

Authors:  E Beghi; G Logroscino; A Micheli; A Millul; M Perini; R Riva; F Salmoiraghi; E Vitelli
Journal:  Amyotroph Lateral Scler Other Motor Neuron Disord       Date:  2001-06

8.  Incidence of amyotrophic lateral sclerosis in southern Italy: a population based study.

Authors:  G Logroscino; E Beghi; S Zoccolella; R Palagano; A Fraddosio; I L Simone; P Lamberti; V Lepore; L Serlenga
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-08       Impact factor: 10.154

9.  Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data.

Authors:  Raffaella Uccelli; Alessandra Binazzi; Pierluigi Altavista; Stefano Belli; Pietro Comba; Marina Mastrantonio; Nicola Vanacore
Journal:  Eur J Epidemiol       Date:  2007-09-14       Impact factor: 8.082

10.  Utility of Scottish morbidity and mortality data for epidemiological studies of motor neuron disease.

Authors:  A M Chancellor; R J Swingler; H Fraser; J A Clarke; C P Warlow
Journal:  J Epidemiol Community Health       Date:  1993-04       Impact factor: 3.710

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  15 in total

1.  The Shanghai Changfeng Study: a community-based prospective cohort study of chronic diseases among middle-aged and elderly: objectives and design.

Authors:  Xin Gao; Albert Hofman; Yu Hu; Huandong Lin; Chouwen Zhu; Johannes Jeekel; Xuejuan Jin; Jiyao Wang; Jian Gao; Yiqing Yin; Naiqing Zhao
Journal:  Eur J Epidemiol       Date:  2010-12-01       Impact factor: 8.082

2.  Diagnostic validity of hospital discharge codes in the ascertainment of amyotrophic lateral sclerosis.

Authors:  Alvaro Alonso
Journal:  Eur J Epidemiol       Date:  2009-12-19       Impact factor: 8.082

Review 3.  Recommendations for optimal ICD codes to study neurologic conditions: a systematic review.

Authors:  Christine St Germaine-Smith; Amy Metcalfe; Tamara Pringsheim; Jodie Irene Roberts; Cynthia A Beck; Brenda R Hemmelgarn; Jane McChesney; Hude Quan; Nathalie Jette
Journal:  Neurology       Date:  2012-08-22       Impact factor: 9.910

4.  Comparison of diagnoses of amyotrophic lateral sclerosis by use of death certificates and hospital discharge data in the Danish population.

Authors:  Marianthi-Anna Kioumourtzoglou; Ryan M Seals; Liselotte Himmerslev; Ole Gredal; Johnni Hansen; Marc G Weisskopf
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2015-05-06       Impact factor: 4.092

5.  Association between diabetes and amyotrophic lateral sclerosis in Sweden.

Authors:  D Mariosa; F Kamel; R Bellocco; W Ye; F Fang
Journal:  Eur J Neurol       Date:  2015-01-19       Impact factor: 6.089

6.  Severe head injury and amyotrophic lateral sclerosis.

Authors:  Tracy L Peters; Fang Fang; Caroline E Weibull; Dale P Sandler; Freya Kamel; Weimin Ye
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2013-01-04       Impact factor: 4.092

7.  Age-period-cohort analysis of trends in amyotrophic lateral sclerosis in Denmark, 1970-2009.

Authors:  Ryan M Seals; Johnni Hansen; Ole Gredal; Marc G Weisskopf
Journal:  Am J Epidemiol       Date:  2013-09-24       Impact factor: 4.897

8.  New studies, technology, and the progress of epidemiology.

Authors:  Albert Hofman
Journal:  Eur J Epidemiol       Date:  2010-12       Impact factor: 8.082

9.  The Rotterdam Study: 2012 objectives and design update.

Authors:  Albert Hofman; Cornelia M van Duijn; Oscar H Franco; M Arfan Ikram; Harry L A Janssen; Caroline C W Klaver; Ernst J Kuipers; Tamar E C Nijsten; Bruno H Ch Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Jacqueline C M Witteman
Journal:  Eur J Epidemiol       Date:  2011-08-30       Impact factor: 8.082

10.  The use of US health insurance data for surveillance of rare disorders: hereditary hemorrhagic telangiectasia.

Authors:  Scott D Grosse; Sheree L Boulet; Althea M Grant; Mary M Hulihan; Marie E Faughnan
Journal:  Genet Med       Date:  2013-05-23       Impact factor: 8.822

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