Flow chart of the study population selection.

Flow chart of the study population selection.

<div><p>Background</p><p>Left ventricular ejection fraction (EF) is used to categorize heart failure (HF) into phenotypes but this information is often missing in electronic health records or non-HF registries.</p><p>Methods</p><p>We tested the applica...

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Bibliographic Details
Main Author: Elisa Dal Canto (9582176) (author)
Other Authors: Alicia Uijl (20114277) (author), N. Charlotte Onland-Moret (9530919) (author), Sophie H. Bots (10175957) (author), Leonard Hofstra (168398) (author), Igor Tulevski (20114280) (author), Folkert W. Asselbergs (7588589) (author), Pim van der Harst (65060) (author), G. Aernout Somsen (10956451) (author), Hester M. den Ruijter (12409468) (author)
Published: 2024
Subjects:
Molecular Biology
Biotechnology
Developmental Biology
Cancer
Science Policy
Infectious Diseases
Biological Sciences not elsewhere classified
negative predictive values
electronic health records
ejection fraction prediction
categorize heart failure
73 &# 8211
69 &# 8211
66 &# 177
65 &# 8211
58 &# 8211
routine clinical characteristics
63 &# 8211
calculated model sensitivity
primary care data
multivariable multinomial analysis
heart failure patients
ef &# 8805
simple algorithm based
netherlands </ p
tested model discrimination
multivariable algorithm
based algorithm
multinomial model
netherlands database
clinical variables
63 ).
model performance
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simplified version
similar results
preserved ef
predict ef
internally validated
hospital cardiologist
highest sensitivities
general practitioner
cardiology datasets
cardiology centres
cardiology centers
additionally performed
868 patients
12 years
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