Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers

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Standard

Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers. / Madelaire, Christian; Gustafsson, Finn; Køber, Lars; Torp-Pedersen, Christian; Andersson, Charlotte; Kristensen, Søren Lund; Gislason, Gunnar; Schou, Morten.

I: Clinical Epidemiology, Bind 12, 2020, s. 589-594.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Madelaire, C, Gustafsson, F, Køber, L, Torp-Pedersen, C, Andersson, C, Kristensen, SL, Gislason, G & Schou, M 2020, 'Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers', Clinical Epidemiology, bind 12, s. 589-594. https://doi.org/10.2147/CLEP.S251710

APA

Madelaire, C., Gustafsson, F., Køber, L., Torp-Pedersen, C., Andersson, C., Kristensen, S. L., Gislason, G., & Schou, M. (2020). Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers. Clinical Epidemiology, 12, 589-594. https://doi.org/10.2147/CLEP.S251710

Vancouver

Madelaire C, Gustafsson F, Køber L, Torp-Pedersen C, Andersson C, Kristensen SL o.a. Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers. Clinical Epidemiology. 2020;12:589-594. https://doi.org/10.2147/CLEP.S251710

Author

Madelaire, Christian ; Gustafsson, Finn ; Køber, Lars ; Torp-Pedersen, Christian ; Andersson, Charlotte ; Kristensen, Søren Lund ; Gislason, Gunnar ; Schou, Morten. / Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers. I: Clinical Epidemiology. 2020 ; Bind 12. s. 589-594.

Bibtex

@article{880e14a849f44978837e7f2716d4576e,
title = "Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers",
abstract = "Background: In Danish administrative registers, ejection fraction (EF) is not recorded, which is a considerable limitation for correct subclassification of patients with heart failure (HF). We hypothesized that a diagnosis of HF combined with the recorded prescription of both renin-angiotensin system (RAS) inhibitors and beta- blockers (RASi+BB) within 120 days could identify patients with HF and reduced ejection fraction (EF ≤40%) (HFrEF).Methods: On two sites, we identified all patients with a first-time registration of HF as primary hospital discharge diagnosis (ICD-10: I50) between June 1, 2016, and May 31, 2018 in inpatient or outpatient settings. Patients were included if they survived the initial 120 days after discharge. Reviewing patient records, we identified patients with HFrEF, based on EF ≤ 40% and reported HF symptoms. We registered the use of RASi+BB at 120 days and calculated sensitivity, specificity and predictive values.Results: A total of 704 consecutive patients with a primary diagnosis of HF were included, of whom 541 (77%) fulfilled the HFrEF criteria. Patients with HFrEF confirmed from patient records were younger (median age 73 compared to 79 years) and less frequently women (31% compared to 56%) compared to non-HFrEF patients. At baseline, 24 (4%) of HFrEF patients were treated with RASi+BB compared to 22 (14%) of non-HFrEF patients. At 120 days, 460 (85%) of HFrEF patients received RASi+BB as compared to 25 (15%) of non-HFrEF patients. This resulted in a positive predictive value of 95%, sensitivity of 85% and specificity of 85%.Conclusion: In Denmark, the ICD-10 HF diagnosis combined with recorded RASi+BB treatment by 120 days after discharge has high positive predictive value and can accurately be used to identify patients with HFrEF.",
author = "Christian Madelaire and Finn Gustafsson and Lars K{\o}ber and Christian Torp-Pedersen and Charlotte Andersson and Kristensen, {S{\o}ren Lund} and Gunnar Gislason and Morten Schou",
note = "{\textcopyright} 2020 Madelaire et al.",
year = "2020",
doi = "10.2147/CLEP.S251710",
language = "English",
volume = "12",
pages = "589--594",
journal = "Clinical Epidemiology",
issn = "1179-1349",
publisher = "Dove Medical Press Ltd",

}

RIS

TY - JOUR

T1 - Identification of Patients with New-Onset Heart Failure and Reduced Ejection Fraction in Danish Administrative Registers

AU - Madelaire, Christian

AU - Gustafsson, Finn

AU - Køber, Lars

AU - Torp-Pedersen, Christian

AU - Andersson, Charlotte

AU - Kristensen, Søren Lund

AU - Gislason, Gunnar

AU - Schou, Morten

N1 - © 2020 Madelaire et al.

PY - 2020

Y1 - 2020

N2 - Background: In Danish administrative registers, ejection fraction (EF) is not recorded, which is a considerable limitation for correct subclassification of patients with heart failure (HF). We hypothesized that a diagnosis of HF combined with the recorded prescription of both renin-angiotensin system (RAS) inhibitors and beta- blockers (RASi+BB) within 120 days could identify patients with HF and reduced ejection fraction (EF ≤40%) (HFrEF).Methods: On two sites, we identified all patients with a first-time registration of HF as primary hospital discharge diagnosis (ICD-10: I50) between June 1, 2016, and May 31, 2018 in inpatient or outpatient settings. Patients were included if they survived the initial 120 days after discharge. Reviewing patient records, we identified patients with HFrEF, based on EF ≤ 40% and reported HF symptoms. We registered the use of RASi+BB at 120 days and calculated sensitivity, specificity and predictive values.Results: A total of 704 consecutive patients with a primary diagnosis of HF were included, of whom 541 (77%) fulfilled the HFrEF criteria. Patients with HFrEF confirmed from patient records were younger (median age 73 compared to 79 years) and less frequently women (31% compared to 56%) compared to non-HFrEF patients. At baseline, 24 (4%) of HFrEF patients were treated with RASi+BB compared to 22 (14%) of non-HFrEF patients. At 120 days, 460 (85%) of HFrEF patients received RASi+BB as compared to 25 (15%) of non-HFrEF patients. This resulted in a positive predictive value of 95%, sensitivity of 85% and specificity of 85%.Conclusion: In Denmark, the ICD-10 HF diagnosis combined with recorded RASi+BB treatment by 120 days after discharge has high positive predictive value and can accurately be used to identify patients with HFrEF.

AB - Background: In Danish administrative registers, ejection fraction (EF) is not recorded, which is a considerable limitation for correct subclassification of patients with heart failure (HF). We hypothesized that a diagnosis of HF combined with the recorded prescription of both renin-angiotensin system (RAS) inhibitors and beta- blockers (RASi+BB) within 120 days could identify patients with HF and reduced ejection fraction (EF ≤40%) (HFrEF).Methods: On two sites, we identified all patients with a first-time registration of HF as primary hospital discharge diagnosis (ICD-10: I50) between June 1, 2016, and May 31, 2018 in inpatient or outpatient settings. Patients were included if they survived the initial 120 days after discharge. Reviewing patient records, we identified patients with HFrEF, based on EF ≤ 40% and reported HF symptoms. We registered the use of RASi+BB at 120 days and calculated sensitivity, specificity and predictive values.Results: A total of 704 consecutive patients with a primary diagnosis of HF were included, of whom 541 (77%) fulfilled the HFrEF criteria. Patients with HFrEF confirmed from patient records were younger (median age 73 compared to 79 years) and less frequently women (31% compared to 56%) compared to non-HFrEF patients. At baseline, 24 (4%) of HFrEF patients were treated with RASi+BB compared to 22 (14%) of non-HFrEF patients. At 120 days, 460 (85%) of HFrEF patients received RASi+BB as compared to 25 (15%) of non-HFrEF patients. This resulted in a positive predictive value of 95%, sensitivity of 85% and specificity of 85%.Conclusion: In Denmark, the ICD-10 HF diagnosis combined with recorded RASi+BB treatment by 120 days after discharge has high positive predictive value and can accurately be used to identify patients with HFrEF.

U2 - 10.2147/CLEP.S251710

DO - 10.2147/CLEP.S251710

M3 - Journal article

C2 - 32606984

VL - 12

SP - 589

EP - 594

JO - Clinical Epidemiology

JF - Clinical Epidemiology

SN - 1179-1349

ER -

ID: 251996168