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Opportunistic Screening for Coronary Artery Disease: An Untapped Population Health Resource.
Malik, Rubab F; Sun, Kristie J; Azadi, Javad R; Lau, Brandyn D; Whelton, Seamus; Arbab-Zadeh, Armin; Wilson, Renee F; Johnson, Pamela T.
Afiliación
  • Malik RF; Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Sun KJ; Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Azadi JR; Assistant Professor of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Lau BD; Assistant Professor of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Whelton S; Associate Professor of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Arbab-Zadeh A; Director of Cardiac CT, Professor of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Wilson RF; Evidence Based Practice Center, Johns Hopkins University School of Public Health, Baltimore, Maryland.
  • Johnson PT; Vice President of Care Transformation, Vice Chair of Quality and Safety in Radiology, and Professor of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: PamelaJohnson@Jhmi.edu.
J Am Coll Radiol ; 21(6): 880-889, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38382860
ABSTRACT

BACKGROUND:

Coronary artery disease is the leading cause of death in the United States. At-risk asymptomatic adults are eligible for screening with electrocardiogram-gated coronary artery calcium (CAC) CT, which aids in risk stratification and management decision-making. Incidental CAC (iCAC) is easily quantified on chest CT in patients imaged for noncardiac indications; however, radiologists do not routinely report the finding.

OBJECTIVE:

To determine the clinical significance of CAC identified incidentally on routine chest CT performed for noncardiac indications.

DESIGN:

An informationist developed search strategies in MEDLINE, Embase, and SCOPUS, and two reviewers independently screened results at both the abstract and full text levels. Data extracted from eligible articles included age, rate of iCAC identification, radiologist reporting frequency, impact on downstream medical management, and association of iCAC with patient outcomes.

RESULTS:

From 359 unique citations, 83 research publications met inclusion criteria. The percentage of patients with iCAC ranged from 9% to 100%. Thirty-one investigations measured association(s) between iCAC and cardiovascular morbidity and mortality, and 29 identified significant correlations, including nonfatal myocardial infarction, fatal myocardial infarction, major adverse cardiovascular event, cardiovascular death, and all-cause death. iCAC was present in 20% to 100% of the patients in these cohorts, but when present, iCAC was reported by radiologists in only 31% to 44% of cases. Between 18% and 77% of patients with iCAC were not on preventive medications in studies that reported these data. Seven studies measured the effect of reporting on guideline directed medical therapy, and 5 (71%) reported an increase in medication prescriptions after diagnosis of iCAC, with one confirming reductions in low-density lipoprotein levels. Twelve investigations reported good concordance between CAC grade on noncardiac CT and Agatston score on electrocardiogram-gated cardiac CT, and 10 demonstrated that artificial intelligence tools can reliably calculate an Agatston score on noncardiac CT.

CONCLUSION:

A body of evidence demonstrates that patients with iCAC on routine chest CT are at risk for cardiovascular disease events and death, but they are often undiagnosed. Uniform reporting of iCAC in the chest CT impression represents an opportunity for radiology to contribute to early identification of high-risk individuals and potentially reduce morbidity and mortality. AI tools have been validated to calculate Agatston score on routine chest CT and hold the best potential for facilitating broad adoption.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Tomografía Computarizada por Rayos X / Tamizaje Masivo Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Am Coll Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Tomografía Computarizada por Rayos X / Tamizaje Masivo Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Am Coll Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article