Comparison of diagnoses of amyotrophic lateral sclerosis by use of death certificates and hospital discharge data in the Danish population
Abstract Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (bef...
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| Published in | Amyotrophic lateral sclerosis and frontotemporal degeneration Vol. 16; no. 3-4; pp. 224 - 229 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Informa Healthcare
01.06.2015
Taylor & Francis |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2167-8421 2167-9223 2167-9223 |
| DOI | 10.3109/21678421.2014.988161 |
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| Abstract | Abstract
Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (before 1994) or ICD-10 codes. Death certificates were obtained from the Danish Register of Causes of Death. We obtained medical records for 173 of the cases identified in the NPR and classified these according to the El Escorial criteria. We compared ALS identification from death certificates to hospital discharges, and both to medical records. Results showed that the sensitivity for use of death certificates was 84.2% (95% CI 82.9-85.5%) and was significantly higher for females, subjects younger than 77 years, and when coded with ICD-8. Using only the underlying cause of death resulted in significantly lower sensitivity. The estimated overall positive predictive value (PPV) was 82.0% (95% CI 80.0-83.8%). Sensitivity and PPV were similar compared with medical records. In conclusion, we found that use of hospital discharges and death certificates is highly reliable and, therefore, a valuable tool for ALS epidemiologic studies. The possible effects on findings of slight differences by age, gender, and ICD coding should be considered. |
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| AbstractList | Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (before 1994) or ICD-10 codes. Death certificates were obtained from the Danish Register of Causes of Death. We obtained medical records for 173 of the cases identified in the NPR and classified these according to the El Escorial criteria. We compared ALS identification from death certificates to hospital discharges, and both to medical records. Results showed that the sensitivity for use of death certificates was 84.2% (95% CI 82.9-85.5%) and was significantly higher for females, subjects younger than 77 years, and when coded with ICD-8. Using only the underlying cause of death resulted in significantly lower sensitivity. The estimated overall positive predictive value (PPV) was 82.0% (95% CI 80.0-83.8%). Sensitivity and PPV were similar compared with medical records. In conclusion, we found that use of hospital discharges and death certificates is highly reliable and, therefore, a valuable tool for ALS epidemiologic studies. The possible effects on findings of slight differences by age, gender, and ICD coding should be considered. Abstract Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (before 1994) or ICD-10 codes. Death certificates were obtained from the Danish Register of Causes of Death. We obtained medical records for 173 of the cases identified in the NPR and classified these according to the El Escorial criteria. We compared ALS identification from death certificates to hospital discharges, and both to medical records. Results showed that the sensitivity for use of death certificates was 84.2% (95% CI 82.9-85.5%) and was significantly higher for females, subjects younger than 77 years, and when coded with ICD-8. Using only the underlying cause of death resulted in significantly lower sensitivity. The estimated overall positive predictive value (PPV) was 82.0% (95% CI 80.0-83.8%). Sensitivity and PPV were similar compared with medical records. In conclusion, we found that use of hospital discharges and death certificates is highly reliable and, therefore, a valuable tool for ALS epidemiologic studies. The possible effects on findings of slight differences by age, gender, and ICD coding should be considered. Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (before 1994) or ICD-10 codes. Death certificates were obtained from the Danish Register of Causes of Death. We obtained medical records for 173 of the cases identified in the NPR and classified these according to the El Escorial criteria. We compared ALS identification from death certificates to hospital discharges, and both to medical records. Results showed that the sensitivity for use of death certificates was 84.2% (95% CI 82.9-85.5%) and was significantly higher for females, subjects younger than 77 years, and when coded with ICD-8. Using only the underlying cause of death resulted in significantly lower sensitivity. The estimated overall positive predictive value (PPV) was 82.0% (95% CI 80.0-83.8%). Sensitivity and PPV were similar compared with medical records. In conclusion, we found that use of hospital discharges and death certificates is highly reliable and, therefore, a valuable tool for ALS epidemiologic studies. The possible effects on findings of slight differences by age, gender, and ICD coding should be considered.Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture cases is needed. We identified 3650 incident cases in the Danish National Patient Register (NPR) between 1982 and 2009, using ICD-8 (before 1994) or ICD-10 codes. Death certificates were obtained from the Danish Register of Causes of Death. We obtained medical records for 173 of the cases identified in the NPR and classified these according to the El Escorial criteria. We compared ALS identification from death certificates to hospital discharges, and both to medical records. Results showed that the sensitivity for use of death certificates was 84.2% (95% CI 82.9-85.5%) and was significantly higher for females, subjects younger than 77 years, and when coded with ICD-8. Using only the underlying cause of death resulted in significantly lower sensitivity. The estimated overall positive predictive value (PPV) was 82.0% (95% CI 80.0-83.8%). Sensitivity and PPV were similar compared with medical records. In conclusion, we found that use of hospital discharges and death certificates is highly reliable and, therefore, a valuable tool for ALS epidemiologic studies. The possible effects on findings of slight differences by age, gender, and ICD coding should be considered. |
| Author | Himmerslev, Liselotte Gredal, Ole Weisskopf, Marc G. Seals, Ryan M. Kioumourtzoglou, Marianthi-Anna Hansen, Johnni |
| AuthorAffiliation | 3 Danish Cancer Society Research Center, Copenhagen, Denmark 1 Department of Environmental Health, Harvard School of Public Health, Boston, MA 2 Department of Epidemiology, Harvard School of Public Health, Boston, MA |
| AuthorAffiliation_xml | – name: 2 Department of Epidemiology, Harvard School of Public Health, Boston, MA – name: 1 Department of Environmental Health, Harvard School of Public Health, Boston, MA – name: 3 Danish Cancer Society Research Center, Copenhagen, Denmark |
| Author_xml | – sequence: 1 givenname: Marianthi-Anna surname: Kioumourtzoglou fullname: Kioumourtzoglou, Marianthi-Anna email: marianthi.anna@mail.harvard.edu, marianthi.anna@mail.harvard.edu organization: Department of Environmental Health, Harvard T.H. Chan School of Public Health – sequence: 2 givenname: Ryan M. surname: Seals fullname: Seals, Ryan M. email: marianthi.anna@mail.harvard.edu, marianthi.anna@mail.harvard.edu organization: Department of Epidemiology, Harvard T.H. Chan School of Public Health – sequence: 3 givenname: Liselotte surname: Himmerslev fullname: Himmerslev, Liselotte email: marianthi.anna@mail.harvard.edu, marianthi.anna@mail.harvard.edu organization: Danish Cancer Society Research Centre – sequence: 4 givenname: Ole surname: Gredal fullname: Gredal, Ole email: marianthi.anna@mail.harvard.edu, marianthi.anna@mail.harvard.edu organization: Danish Cancer Society Research Centre – sequence: 5 givenname: Johnni surname: Hansen fullname: Hansen, Johnni email: marianthi.anna@mail.harvard.edu, marianthi.anna@mail.harvard.edu organization: Danish Cancer Society Research Centre – sequence: 6 givenname: Marc G. surname: Weisskopf fullname: Weisskopf, Marc G. email: marianthi.anna@mail.harvard.edu, marianthi.anna@mail.harvard.edu organization: Department of Environmental Health, Harvard T.H. Chan School of Public Health |
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| References | Hansen EJ (CIT0015) 1984 Chancellor AM (CIT0016) 1993; 47 Rowland LP (CIT0001) 2001; 344 Chiò A (CIT0017) 1992; 46 Peters T (CIT0009) 2013; 14 Fang F (CIT0007) 2011; 6 Pisa FE (CIT0019) 2009; 24 Beghi E (CIT0020) 2001; 2 Chiò A (CIT0021) 2002; 55 Factor-Litvak P (CIT0005) 2013; 14 Helweg-Larsen K (CIT0013) 2011; 39 Lynge E (CIT0012) 2011; 39 Pedersen CB (CIT0014) 2011; 39 CIT0002 Lone F (CIT0011) 2000; 287 CIT0004 Fang F (CIT0008) 2013; 14 CIT0018 CIT0006 Millul A (CIT0003) 2005; 25 Seals, Hansen J (CIT0010) 2013; 178 23286749 - Amyotroph Lateral Scler Frontotemporal Degener. 2013 May;14(4):267-72 19657715 - Eur J Epidemiol. 2009;24(10):635-40 24064744 - Am J Epidemiol. 2013 Oct 15;178(8):1265-71 21775346 - Scand J Public Health. 2011 Jul;39(7 Suppl):26-9 19922118 - Amyotroph Lateral Scler. 2009 Oct-Dec;10(5-6):310-23 21088432 - Neuroepidemiology. 2011;36(1):29-38 11386269 - N Engl J Med. 2001 May 31;344(22):1688-700 11675878 - Amyotroph Lateral Scler Other Motor Neuron Disord. 2001 Jun;2(2):99-104 15956808 - Neuroepidemiology. 2005;25(3):114-9 23527497 - Amyotroph Lateral Scler Frontotemporal Degener. 2013 Sep;14(5-6):362-8 1479322 - J Epidemiol Community Health. 1992 Oct;46(5):517-8 21775345 - Scand J Public Health. 2011 Jul;39(7 Suppl):22-5 10766613 - Science. 2000 Mar 31;287(5462):2398-9 8326268 - J Epidemiol Community Health. 1993 Apr;47(2):116-20 22216353 - PLoS One. 2011;6(12):e29749 21775347 - Scand J Public Health. 2011 Jul;39(7 Suppl):30-3 23678878 - Amyotroph Lateral Scler Frontotemporal Degener. 2013 May;14 Suppl 1:33-43 18079297 - J Neurol Neurosurg Psychiatry. 2008 Jan;79(1):6-11 12160921 - J Clin Epidemiol. 2002 Jul;55(7):723-7 20151145 - J Neurol. 2010 Aug;257(8):1235-9 |
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Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they... Because ALS is rare, large-scale studies are difficult. Hospital and death certificate data are valuable tools, but understanding of how well they capture... |
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| SubjectTerms | Aged Amyotrophic Lateral Sclerosis - diagnosis Amyotrophic Lateral Sclerosis - epidemiology Amyotrophic Lateral Sclerosis - mortality Cause of Death Death Certificates Denmark - epidemiology Epidemiology Female Humans Male Medical Records - statistics & numerical data Middle Aged Patient Discharge - statistics & numerical data Registries Retrospective Studies risk Sensitivity and Specificity survival Time Factors |
| Title | Comparison of diagnoses of amyotrophic lateral sclerosis by use of death certificates and hospital discharge data in the Danish population |
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