Signe Væth

Validation of diagnostic codes for Charcot-Marie-Tooth disease in the Danish National Patient Registry

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Validation of diagnostic codes for Charcot-Marie-Tooth disease in the Danish National Patient Registry. / Væth, Signe; Jensen, Uffe Birk; Christensen, Rikke et al.

I: Clinical Epidemiology, Bind 8, 2016, s. 783-787.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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@article{955306cbd84444db96639b1142b909d0,
title = "Validation of diagnostic codes for Charcot-Marie-Tooth disease in the Danish National Patient Registry",
abstract = "PURPOSE: To validate the diagnostic codes for Charcot-Marie-Tooth disease (CMT) in the Danish National Patient Registry (DNPR) using positive predictive value (PPV) as a measure of validity.PATIENTS AND METHODS: We used the DNPR to identify all patients diagnosed with at least one primary CMT diagnosis at a specialized department in the Central Denmark Region during the period 1977-2012. From this population, we randomly selected 123 patients for the validation study. Medical files were reviewed and used as reference standard. We estimated the PPV of the CMT diagnoses and stratified the analysis according to age at diagnosis, gender, and calendar time.RESULTS: In the DNPR, 275 patients were identified. We were able to retrieve 96 medical files from the random sample of 123 patients, and 85 CMT diagnoses were confirmed. The average age at diagnosis was 42.5 years, and 34% were female. The PPV was 88.5% (95% confidence interval: 80.4-94.1).CONCLUSION: The CMT diagnoses in the DNPR have high validity. The DNPR can be used as a data source for epidemiologic research on CMT.",
author = "Signe V{\ae}th and Jensen, {Uffe Birk} and Rikke Christensen and Henning Andersen",
year = "2016",
doi = "10.2147/CLEP.S115565",
language = "English",
volume = "8",
pages = "783--787",
journal = "Clinical Epidemiology",
issn = "1179-1349",
publisher = "Dove Medical Press Ltd.",

}

RIS

TY - JOUR

T1 - Validation of diagnostic codes for Charcot-Marie-Tooth disease in the Danish National Patient Registry

AU - Væth, Signe

AU - Jensen, Uffe Birk

AU - Christensen, Rikke

AU - Andersen, Henning

PY - 2016

Y1 - 2016

N2 - PURPOSE: To validate the diagnostic codes for Charcot-Marie-Tooth disease (CMT) in the Danish National Patient Registry (DNPR) using positive predictive value (PPV) as a measure of validity.PATIENTS AND METHODS: We used the DNPR to identify all patients diagnosed with at least one primary CMT diagnosis at a specialized department in the Central Denmark Region during the period 1977-2012. From this population, we randomly selected 123 patients for the validation study. Medical files were reviewed and used as reference standard. We estimated the PPV of the CMT diagnoses and stratified the analysis according to age at diagnosis, gender, and calendar time.RESULTS: In the DNPR, 275 patients were identified. We were able to retrieve 96 medical files from the random sample of 123 patients, and 85 CMT diagnoses were confirmed. The average age at diagnosis was 42.5 years, and 34% were female. The PPV was 88.5% (95% confidence interval: 80.4-94.1).CONCLUSION: The CMT diagnoses in the DNPR have high validity. The DNPR can be used as a data source for epidemiologic research on CMT.

AB - PURPOSE: To validate the diagnostic codes for Charcot-Marie-Tooth disease (CMT) in the Danish National Patient Registry (DNPR) using positive predictive value (PPV) as a measure of validity.PATIENTS AND METHODS: We used the DNPR to identify all patients diagnosed with at least one primary CMT diagnosis at a specialized department in the Central Denmark Region during the period 1977-2012. From this population, we randomly selected 123 patients for the validation study. Medical files were reviewed and used as reference standard. We estimated the PPV of the CMT diagnoses and stratified the analysis according to age at diagnosis, gender, and calendar time.RESULTS: In the DNPR, 275 patients were identified. We were able to retrieve 96 medical files from the random sample of 123 patients, and 85 CMT diagnoses were confirmed. The average age at diagnosis was 42.5 years, and 34% were female. The PPV was 88.5% (95% confidence interval: 80.4-94.1).CONCLUSION: The CMT diagnoses in the DNPR have high validity. The DNPR can be used as a data source for epidemiologic research on CMT.

U2 - 10.2147/CLEP.S115565

DO - 10.2147/CLEP.S115565

M3 - Journal article

C2 - 27920579

VL - 8

SP - 783

EP - 787

JO - Clinical Epidemiology

JF - Clinical Epidemiology

SN - 1179-1349

ER -