Diagnostic accuracy, clinical characteristics, and prognostic differences of patients with acute myocarditis according to inclusion criteria.

Cardiac magnetic resonance imaging Diagnosis Endomyocardial biopsy ICD codes Myocarditis

Journal

European heart journal. Quality of care & clinical outcomes
ISSN: 2058-1742
Titre abrégé: Eur Heart J Qual Care Clin Outcomes
Pays: England
ID NLM: 101677796

Informations de publication

Date de publication:
31 Oct 2023
Historique:
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: aheadofprint

Résumé

The diagnosis of acute myocarditis (AM) is complex due to its heterogeneity and typically is defined by either Electronic Healthcare Records (EHRs) or advanced imaging and endomyocardial biopsy, but there is no consensus. We aimed to investigate the diagnostic accuracy of these approaches for AM. Data on ICD 10th Revision(ICD-10) codes corresponding to AM were collected from two hospitals and compared to CMR-confirmed or clinically suspected(CS) AM cases with respect to diagnostic accuracy, clinical characteristics, and all-cause mortality. Next, we performed a review of published AM studies according to inclusion criteria. We identified 291 unique admissions with ICD-10 codes corresponding to AM in the first three diagnostic positions. The positive predictive value(PPV) of ICD-10 codes for CMR-confirmed or CS-AM was 36%, and patients with CMR-confirmed or CS AM had a lower all-cause mortality than those with a refuted diagnosis (P = 0.019). Using an unstructured approach, patients with CMR-confirmed and CS AM had similar demographics, comorbidity profiles and survival over a median follow-up of 52 months (P = 0.72). Our review of the literature confirmed our findings. Outcomes for patients included in studies using CMR-confirmed criteria were favourable compared to studies with EMB-confirmed AM cases. ICD-10 codes have poor accuracy in identification of AM cases and should be used with caution in clinical research. There are important differences in management and outcomes of patients according to the selection criteria used to diagnose AM. Potential selection biases must be considered when interpreting AM cohorts and requires standardisation of inclusion criteria for AM studies.

Identifiants

pubmed: 37930743
pii: 7335289
doi: 10.1093/ehjqcco/qcad061
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Roman Roy (R)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Antonio Cannata (A)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Mohammad Al-Agil (M)

King's College Hospital NHS Foundation Trust, London, UK.

Emma Ferone (E)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.

Antonio Jordan (A)

King's College Hospital NHS Foundation Trust, London, UK.

Brian To-Dang (B)

King's College Hospital NHS Foundation Trust, London, UK.

Matthew Sadler (M)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Aamir Shamsi (A)

King's College Hospital NHS Foundation Trust, London, UK.

Mohammad Albarjas (M)

Princess Royal University Hospital, Orpington, London, UK.

Susan Piper (S)

King's College Hospital NHS Foundation Trust, London, UK.

Mauro Giacca (M)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.

Ajay M Shah (AM)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.

Theresa McDonagh (T)

King's College Hospital NHS Foundation Trust, London, UK.

Daniel I Bromage (DI)

King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular Medicine & Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Paul A Scott (PA)

King's College Hospital NHS Foundation Trust, London, UK.

Classifications MeSH