The validity of heart failure diagnoses obtained from administrative registers

Standard

The validity of heart failure diagnoses obtained from administrative registers. / Mähönen, Markku; Jula, Antti; Harald, Kennet; Antikainen, Riitta; Tuomilehto, Jaakko; Zeller, Tanja; Blankenberg, Stefan; Salomaa, Veikko.

in: EUR J PREV CARDIOL, Jahrgang 20, Nr. 2, 04.2013, S. 254-259.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Mähönen, M, Jula, A, Harald, K, Antikainen, R, Tuomilehto, J, Zeller, T, Blankenberg, S & Salomaa, V 2013, 'The validity of heart failure diagnoses obtained from administrative registers', EUR J PREV CARDIOL, Jg. 20, Nr. 2, S. 254-259. https://doi.org/10.1177/2047487312438979

APA

Mähönen, M., Jula, A., Harald, K., Antikainen, R., Tuomilehto, J., Zeller, T., Blankenberg, S., & Salomaa, V. (2013). The validity of heart failure diagnoses obtained from administrative registers. EUR J PREV CARDIOL, 20(2), 254-259. https://doi.org/10.1177/2047487312438979

Vancouver

Bibtex

@article{5e3f00a26e47448689ff66d042b7c8b2,
title = "The validity of heart failure diagnoses obtained from administrative registers",
abstract = "BACKGROUND: Population-based administrative registers could be used for identifying heart failure (HF) cases. However, the validity of the classification obtained from administrative registers is not known.DESIGN: The validity of HF diagnoses obtained by record linkage of administrative databases in Finland was assessed against classification by three independent physicians.METHODS: Data from the nationwide registers in Finland - the Hospital Discharge Register, Causes of Death Register, Drug Reimbursement Register, and pharmacy prescription data - were linked with the FINRISK 1997 survey data. Cases with hospitalizations before the survey date with HF as one of the discharge diagnoses, cases with special reimbursement for HF drugs before the survey date and cases with the use of furosemide before the survey date were classified as HF in the registers. All these cases, cases with baseline brain natriuretic peptide > 100 pg/ml, and cases with use of digoxin were independently assessed by two physicians as HF/no HF. Discrepant cases were solved by a third physician. This classification was considered as the gold standard, against which the registers were assessed.RESULTS: The specificity of the registers was 99.7% (95% CI 99.5-99.8%), positive predictive value 85.9% (95% CI 79.7-90.5%), negative predictive value 97.9% (95% CI 97.6-98.2%), and sensitivity 48.5% (95% CI 42.9-54.2%).CONCLUSIONS: Classification obtained from administrative registers has high specificity and can be used in follow-up studies with HF as an end point. Sensitivity is modest and administrative data should be used with caution for surveillance.",
keywords = "Analysis of Variance, Biomarkers/blood, Cardiovascular Agents/therapeutic use, Cause of Death, Data Mining, Drug Prescriptions/statistics & numerical data, Finland/epidemiology, Heart Failure/diagnosis, Humans, Natriuretic Peptide, Brain/blood, Peptide Fragments/blood, Predictive Value of Tests, Registries/statistics & numerical data, Reproducibility of Results",
author = "Markku M{\"a}h{\"o}nen and Antti Jula and Kennet Harald and Riitta Antikainen and Jaakko Tuomilehto and Tanja Zeller and Stefan Blankenberg and Veikko Salomaa",
year = "2013",
month = apr,
doi = "10.1177/2047487312438979",
language = "English",
volume = "20",
pages = "254--259",
journal = "EUR J PREV CARDIOL",
issn = "2047-4873",
publisher = "SAGE Publications",
number = "2",

}

RIS

TY - JOUR

T1 - The validity of heart failure diagnoses obtained from administrative registers

AU - Mähönen, Markku

AU - Jula, Antti

AU - Harald, Kennet

AU - Antikainen, Riitta

AU - Tuomilehto, Jaakko

AU - Zeller, Tanja

AU - Blankenberg, Stefan

AU - Salomaa, Veikko

PY - 2013/4

Y1 - 2013/4

N2 - BACKGROUND: Population-based administrative registers could be used for identifying heart failure (HF) cases. However, the validity of the classification obtained from administrative registers is not known.DESIGN: The validity of HF diagnoses obtained by record linkage of administrative databases in Finland was assessed against classification by three independent physicians.METHODS: Data from the nationwide registers in Finland - the Hospital Discharge Register, Causes of Death Register, Drug Reimbursement Register, and pharmacy prescription data - were linked with the FINRISK 1997 survey data. Cases with hospitalizations before the survey date with HF as one of the discharge diagnoses, cases with special reimbursement for HF drugs before the survey date and cases with the use of furosemide before the survey date were classified as HF in the registers. All these cases, cases with baseline brain natriuretic peptide > 100 pg/ml, and cases with use of digoxin were independently assessed by two physicians as HF/no HF. Discrepant cases were solved by a third physician. This classification was considered as the gold standard, against which the registers were assessed.RESULTS: The specificity of the registers was 99.7% (95% CI 99.5-99.8%), positive predictive value 85.9% (95% CI 79.7-90.5%), negative predictive value 97.9% (95% CI 97.6-98.2%), and sensitivity 48.5% (95% CI 42.9-54.2%).CONCLUSIONS: Classification obtained from administrative registers has high specificity and can be used in follow-up studies with HF as an end point. Sensitivity is modest and administrative data should be used with caution for surveillance.

AB - BACKGROUND: Population-based administrative registers could be used for identifying heart failure (HF) cases. However, the validity of the classification obtained from administrative registers is not known.DESIGN: The validity of HF diagnoses obtained by record linkage of administrative databases in Finland was assessed against classification by three independent physicians.METHODS: Data from the nationwide registers in Finland - the Hospital Discharge Register, Causes of Death Register, Drug Reimbursement Register, and pharmacy prescription data - were linked with the FINRISK 1997 survey data. Cases with hospitalizations before the survey date with HF as one of the discharge diagnoses, cases with special reimbursement for HF drugs before the survey date and cases with the use of furosemide before the survey date were classified as HF in the registers. All these cases, cases with baseline brain natriuretic peptide > 100 pg/ml, and cases with use of digoxin were independently assessed by two physicians as HF/no HF. Discrepant cases were solved by a third physician. This classification was considered as the gold standard, against which the registers were assessed.RESULTS: The specificity of the registers was 99.7% (95% CI 99.5-99.8%), positive predictive value 85.9% (95% CI 79.7-90.5%), negative predictive value 97.9% (95% CI 97.6-98.2%), and sensitivity 48.5% (95% CI 42.9-54.2%).CONCLUSIONS: Classification obtained from administrative registers has high specificity and can be used in follow-up studies with HF as an end point. Sensitivity is modest and administrative data should be used with caution for surveillance.

KW - Analysis of Variance

KW - Biomarkers/blood

KW - Cardiovascular Agents/therapeutic use

KW - Cause of Death

KW - Data Mining

KW - Drug Prescriptions/statistics & numerical data

KW - Finland/epidemiology

KW - Heart Failure/diagnosis

KW - Humans

KW - Natriuretic Peptide, Brain/blood

KW - Peptide Fragments/blood

KW - Predictive Value of Tests

KW - Registries/statistics & numerical data

KW - Reproducibility of Results

U2 - 10.1177/2047487312438979

DO - 10.1177/2047487312438979

M3 - SCORING: Journal article

C2 - 22345696

VL - 20

SP - 254

EP - 259

JO - EUR J PREV CARDIOL

JF - EUR J PREV CARDIOL

SN - 2047-4873

IS - 2

ER -