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Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort.
Haimovich, Julian S; Di Achille, Paolo; Nauffal, Victor; Singh, Pulkit; Reeder, Christopher; Wang, Xin; Sarma, Gopal; Kornej, Jelena; Benjamin, Emelia J; Philippakis, Anthony; Batra, Puneet; Ellinor, Patrick T; Lubitz, Steven A; Khurshid, Shaan.
Affiliation
  • Haimovich JS; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Di Achille P; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Nauffal V; Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Singh P; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Reeder C; Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Wang X; Cardiology Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Sarma G; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Kornej J; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Benjamin EJ; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Philippakis A; Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Batra P; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Ellinor PT; Division of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
  • Lubitz SA; Division of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
  • Khurshid S; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
JACC Adv ; 3(7): 101004, 2024 Jul.
Article in En | MEDLINE | ID: mdl-39130046
ABSTRACT

Background:

Disorders affecting cardiac conduction are associated with substantial morbidity. Understanding the epidemiology and risk factors for conduction disorders may enable earlier diagnosis and preventive efforts.

Objectives:

The purpose of this study was to quantify contemporary frequency and risk factors for electrocardiogram (ECG)-defined cardiac conduction disorders in a large multi-institutional primary care sample.

Methods:

We quantified prevalence and incidence of conduction disorders among adults receiving longitudinal primary care between 2001 and 2019, each with at least one 12-lead ECG performed prior to the start of follow-up and at least one ECG during follow-up. We defined conduction disorders using curated terms extracted from ECG diagnostic statements by cardiologists. We grouped conduction disorders by inferred anatomic location of abnormal conduction. We tested associations between clinical factors and incident conduction disease using multivariable proportional hazards regression.

Results:

We analyzed 189,163 individuals (median age 55 years; 58% female). The overall prevalence of conduction disorders was 27% among men and 15% among women. Among 119,926 individuals (median age 55 years; 51% female), 6,802 developed an incident conduction system abnormality over a median of 10 years (Q1, Q3 6, 15 years) of follow-up. Incident conduction disorders were more common in men (8.78 events/1,000 person-years) vs women (4.34 events/1,000 person-years, P < 0.05). In multivariable models, clinical factors including older age (HR 1.25 per 5-year increase [95% CI 1.24-1.26]) and myocardial infarction (HR 1.39 [95% CI 1.26-1.54]) were associated with incident conduction disorders.

Conclusions:

Cardiac conduction disorders are common in a primary care population, especially among older individuals with cardiovascular risk factors.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JACC Adv Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JACC Adv Year: 2024 Document type: Article Affiliation country: Country of publication: