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    Objective To determine the diagnostic yield of a ‘high’ N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with suspected heart failure (HF) referred from primary to secondary care. Methods In this retrospective study, cardiac diagnoses were quantified in consecutive patients with an NT-proBNP>400 ng/L referred from primary care centres to a specialist HF service. Results Among 654 consecutive patients (age: 78.5±9.72 years; 45.9% men; left ventricular ejection fraction (LVEF): 55.4±12.5% (mean±SD)), the primary diagnoses were: valvular disease (39.4%), HF (29.2%; 13.3% with LVEF<40%) and atrial fibrillation (AF; 17.3%). In terms of primary or secondary diagnoses, 68% of patients had valve disease, 46.9% had AF and 29.2% had HF. A cardiac diagnosis was made in 85.9%. In multivariable analyses, NT-proBNP predicted HF with LVEF<40% (OR: 10.2, 95% CI: 5.63 to 18.3) and HF with any LVEF (OR: 6.13, 95% CI: 3.79 to 9.93). In canonical linear discriminant analyses, NT-proBNP cor

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    • Curious about the effectiveness of the BNP referral pathway in detecting cardiac disease? Check out this insightful analysis by Zegard & colleagues: https://t.co/0F0qzUwAE0 #CardiacHealth #BNPReferralPathway

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    Eager to test the latest technology in remote monitoring patient management ?Request an informational Demo from one of our sales reps.

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    • Did you miss @ImplicityHealth during Heart Rhythm Congress 2022? If you want to know more about the @ImplicityHealth platform and its AI algorithms, click here: https://t.co/LYsvWFwCLr #EPeeps #cardiologyfellows #ep #CardiacHealth #artificialintelligence #HRC2022 #congress https://t.co/z1MJWCQvOR

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    Kardia’s ECG sensor has had a spectacular evolution over the years. The newest version’s A.I. can detect six types of arrhythmias in under a minute. What do …

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    • #cardiachealth simplified: thanks to the evolution of @AliveCor/Kardia’s smartphone-connected #ecg sensor, you can now determine if you have #arrhythmia by holding what looks like a business card for less than a minute. https://t.co/GszumcHPmN