Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry

Albert Marni Joensen, Majken K. Jensen, Kim Overvad, Claus Dethlefsen, Erik Berg Schmidt, Lars Hvilsted Rasmussen, Søren Paaske Johnsen

Research output: Contribution to conference without publisher/journalPosterResearch

Abstract

Background: Updated data on the predictive value of acute coronary syndrome (ACS) diagnoses, including unstable angina pectoris, myocardial infarction and cardiac arrest, in hospital discharge registries are sparse. Design: Validation study. Methods: All first-time ACS diagnoses in the Danish National Patient Registry were identified among participants in the Danish cohort study "Diet, Cancer and Health" until the end of 2003. Medical records were retrieved and reviewed using current European Society of Cardiology criteria for ACS. Results: We retrieved medical records from 1577/1654 patients (95.3%) registered with a first-time ACS diagnosis. The overall positive predictive value for ACS was 65.4% (95% confidence interval (CI) 62.9 - 67.7%). Stratification by subdiagnoses and hospital department showed significantly higher positive predictive values for myocardial infarction diagnoses (81.9%; 95% CI 79.5 - 84.2%) and among patients diagnosed with an ACS diagnosis from a ward (80.1%;  95% CI 77.7 - 82.3%), respectively. Conclusion: The ACS diagnoses in hospital discharge registries should be used with caution. If validation is not possible, restricting analyses to patients with myocardial infarctionand/or patients discharged from wards may be a useful alternative.
Original languageEnglish
Publication date2007
Number of pages1
Publication statusPublished - 2007
EventEuroPrevent 2007 - Madrid, Spain
Duration: 19 Apr 200721 Apr 2007
Conference number: 3

Conference

ConferenceEuroPrevent 2007
Number3
CountrySpain
CityMadrid
Period19/04/200721/04/2007

Fingerprint

Acute Coronary Syndrome
Registries
Confidence Intervals
Medical Records
Myocardial Infarction
Validation Studies
Hospital Departments
Unstable Angina
Heart Arrest
Cohort Studies
Diet
Health
Neoplasms

Cite this

Joensen, A. M., Jensen, M. K., Overvad, K., Dethlefsen, C., Schmidt, E. B., Rasmussen, L. H., & Johnsen, S. P. (2007). Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry. Poster session presented at EuroPrevent 2007, Madrid, Spain.
Joensen, Albert Marni ; Jensen, Majken K. ; Overvad, Kim ; Dethlefsen, Claus ; Schmidt, Erik Berg ; Rasmussen, Lars Hvilsted ; Johnsen, Søren Paaske. / Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry. Poster session presented at EuroPrevent 2007, Madrid, Spain.1 p.
@conference{57a4c3d03c2311dcb148000ea68e967b,
title = "Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry",
abstract = "Background: Updated data on the predictive value of acute coronary syndrome (ACS) diagnoses, including unstable angina pectoris, myocardial infarction and cardiac arrest, in hospital discharge registries are sparse. Design: Validation study. Methods: All first-time ACS diagnoses in the Danish National Patient Registry were identified among participants in the Danish cohort study {"}Diet, Cancer and Health{"} until the end of 2003. Medical records were retrieved and reviewed using current European Society of Cardiology criteria for ACS. Results: We retrieved medical records from 1577/1654 patients (95.3{\%}) registered with a first-time ACS diagnosis. The overall positive predictive value for ACS was 65.4{\%} (95{\%} confidence interval (CI) 62.9 - 67.7{\%}). Stratification by subdiagnoses and hospital department showed significantly higher positive predictive values for myocardial infarction diagnoses (81.9{\%}; 95{\%} CI 79.5 - 84.2{\%}) and among patients diagnosed with an ACS diagnosis from a ward (80.1{\%};  95{\%} CI 77.7 - 82.3{\%}), respectively. Conclusion: The ACS diagnoses in hospital discharge registries should be used with caution. If validation is not possible, restricting analyses to patients with myocardial infarctionand/or patients discharged from wards may be a useful alternative.",
author = "Joensen, {Albert Marni} and Jensen, {Majken K.} and Kim Overvad and Claus Dethlefsen and Schmidt, {Erik Berg} and Rasmussen, {Lars Hvilsted} and Johnsen, {S{\o}ren Paaske}",
note = "Titel p{\aa} proceedings: Final Programme of the EuroPrevent 2007 Oversat titel p{\aa} proceedings: Final Programme of the EuroPrevent 2007; null ; Conference date: 19-04-2007 Through 21-04-2007",
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Joensen, AM, Jensen, MK, Overvad, K, Dethlefsen, C, Schmidt, EB, Rasmussen, LH & Johnsen, SP 2007, 'Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry', Madrid, Spain, 19/04/2007 - 21/04/2007, .

Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry. / Joensen, Albert Marni; Jensen, Majken K.; Overvad, Kim; Dethlefsen, Claus; Schmidt, Erik Berg; Rasmussen, Lars Hvilsted; Johnsen, Søren Paaske.

2007. Poster session presented at EuroPrevent 2007, Madrid, Spain.

Research output: Contribution to conference without publisher/journalPosterResearch

TY - CONF

T1 - Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry

AU - Joensen, Albert Marni

AU - Jensen, Majken K.

AU - Overvad, Kim

AU - Dethlefsen, Claus

AU - Schmidt, Erik Berg

AU - Rasmussen, Lars Hvilsted

AU - Johnsen, Søren Paaske

N1 - Titel på proceedings: Final Programme of the EuroPrevent 2007 Oversat titel på proceedings: Final Programme of the EuroPrevent 2007

PY - 2007

Y1 - 2007

N2 - Background: Updated data on the predictive value of acute coronary syndrome (ACS) diagnoses, including unstable angina pectoris, myocardial infarction and cardiac arrest, in hospital discharge registries are sparse. Design: Validation study. Methods: All first-time ACS diagnoses in the Danish National Patient Registry were identified among participants in the Danish cohort study "Diet, Cancer and Health" until the end of 2003. Medical records were retrieved and reviewed using current European Society of Cardiology criteria for ACS. Results: We retrieved medical records from 1577/1654 patients (95.3%) registered with a first-time ACS diagnosis. The overall positive predictive value for ACS was 65.4% (95% confidence interval (CI) 62.9 - 67.7%). Stratification by subdiagnoses and hospital department showed significantly higher positive predictive values for myocardial infarction diagnoses (81.9%; 95% CI 79.5 - 84.2%) and among patients diagnosed with an ACS diagnosis from a ward (80.1%;  95% CI 77.7 - 82.3%), respectively. Conclusion: The ACS diagnoses in hospital discharge registries should be used with caution. If validation is not possible, restricting analyses to patients with myocardial infarctionand/or patients discharged from wards may be a useful alternative.

AB - Background: Updated data on the predictive value of acute coronary syndrome (ACS) diagnoses, including unstable angina pectoris, myocardial infarction and cardiac arrest, in hospital discharge registries are sparse. Design: Validation study. Methods: All first-time ACS diagnoses in the Danish National Patient Registry were identified among participants in the Danish cohort study "Diet, Cancer and Health" until the end of 2003. Medical records were retrieved and reviewed using current European Society of Cardiology criteria for ACS. Results: We retrieved medical records from 1577/1654 patients (95.3%) registered with a first-time ACS diagnosis. The overall positive predictive value for ACS was 65.4% (95% confidence interval (CI) 62.9 - 67.7%). Stratification by subdiagnoses and hospital department showed significantly higher positive predictive values for myocardial infarction diagnoses (81.9%; 95% CI 79.5 - 84.2%) and among patients diagnosed with an ACS diagnosis from a ward (80.1%;  95% CI 77.7 - 82.3%), respectively. Conclusion: The ACS diagnoses in hospital discharge registries should be used with caution. If validation is not possible, restricting analyses to patients with myocardial infarctionand/or patients discharged from wards may be a useful alternative.

M3 - Poster

ER -

Joensen AM, Jensen MK, Overvad K, Dethlefsen C, Schmidt EB, Rasmussen LH et al. Predictive value of acute coronary syndrome discharge diagnoses in the Danish national patioent registry. 2007. Poster session presented at EuroPrevent 2007, Madrid, Spain.