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CardiologyReal-World Cohort5 min read

Assessment of Coronary Inflammatory Risk From Noncontrast Cardiac Computed Tomography

In this cohort study, a novel artificial intelligence algorithm for measuring FAI score on NCCT was trained and tested in an independent, multicenter, longitudinal cohort of consecutive individuals undergoing clinically indicated CCTA and NCCT for CAC score between 2010 and 2021, with median (IQR) follow-up of 6.7 (4.6-10.0) years.

Published in JAMA CardiologyObservational cohort study
4/5 Strong Trial
Evidence Meter · 4/5

Strong Clinical Evidence

Tested directly in patients through a prospective clinical trial or large multicenter human cohort.

Source

Strong Clinical Evidence

4/5

Per the results of this cohort study, NC FAI score provides prognostic performance comparable to CCTA FAI score and improves cardiovascular risk prediction and reclassification beyond CAC score.

What Changes?

Cardiology · Real-World Cohort

Current Standard

Conventional cardiology practice relies on standard-of-care monitoring and existing regimens prior to this observational cohort study.

New Finding

Elevated FAI score, derived from either CCTA or NCCT, should be interpreted as a risk-enhancing factor that may prompt intensification of established, evidence-based preventive measures and may serve as a potential future gatekeeper for the use of targeted anti-inflammatory treatments.

3 Key Takeaways

Plain English Summary
  1. 01Core Finding

    Data were analyzed from January 2010 to March 2024.

  2. 02Study Evidence

    Tested in a observational cohort study (6818 individuals) at the real-world cohort stage.

  3. 03Practical Meaning

    Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

What This Means for You

Per the results of this cohort study, NC FAI score provides prognostic performance comparable to CCTA FAI score and improves cardiovascular risk prediction and reclassification beyond CAC score. Elevated FAI score, derived from either CCTA or NCCT, should be interpreted as a risk-enhancing factor that may prompt intensification of established, evidence-based preventive measures and may serve as a potential future gatekeeper for the use of targeted anti-inflammatory treatments.

The Discovery

To assess whether coronary inflammation measured on coronary computed tomography angiography (CCTA) or noncontrast cardiac CT (NCCT) identifies individuals at high cardiovascular risk independent of CAC burden. In this cohort study, a novel artificial intelligence algorithm for measuring FAI score on NCCT was trained and tested in an independent, multicenter, longitudinal cohort of consecutive individuals undergoing clinically indicated CCTA and NCCT for CAC score between 2010 and 2021, with median (IQR) follow-up of 6.7 (4.6-10.0) years. Data were analyzed from January 2010 to March 2024. The primary outcome was cardiovascular (CV) mortality; the secondary outcome was major adverse cardiovascular events (MACE), comprising , new-onset heart failure, or CV death. The derivation cohort included 6818 individuals (median [IQR] age, 61 [51-71] years; 3543 female participants [52.0%]), and the external validation clinical outcomes cohort included 19 110 individuals (median [IQR] age, 56.0 [48.0-64.0] years; 9289 female participants [48.6%]). During follow-up, 536 CV deaths and 1727 MACE occurred. FAI scores independently stratified CV mortality risk across CAC score categories, with the strongest associations among individuals with CAC score of 0. Adding CCTA FAI score or NC FAI score to CAC score significantly improved risk discrimination (area under the curve increased from 0.76 to 0.81 and 0.80, respectively; P < .001), reclassification (net reclassification index), and net benefit across all risk thresholds. Among 89 CV deaths in individuals with CAC score of 0 and 138 CV deaths with CAC score of 1 through 99, 44.9% and 44.2% had NC FAI score above the 75th percentile, respectively. Among individuals with CAC score of 0, CV mortality rates increased from 1.4 to 4.0 per 1000 person-years for those with NC FAI score above the 75th percentile, and MACE rates increased from 5.9 to 13.3 per 1000 person-years.

How It Works, Simply

This cardiology research focuses on inflammation · AI model. Researchers evaluated it using an observational cohort study (6818 individuals) at the real-world cohort stage of medical research.

3 Key Takeaways

Clinical Takeaways
  1. 01Core Finding

    Data were analyzed from January 2010 to March 2024.

  2. 02Study Evidence

    Tested in a observational cohort study (6818 individuals) at the real-world cohort stage.

  3. 03Practical Meaning

    Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

01

Biological Mechanism & Study Design

Study Design & Cohort

Observational cohort study

Observational cohort study (6818 individuals) · Real-World Cohort

Biological Pathway & Modality

Inflammation · AI model

Intervention: Assessment of Coronary Inflammatory Risk From Noncontrast Cardiac Computed Tomography

02

Experimental Findings & Endpoints

To assess whether coronary inflammation measured on coronary computed tomography angiography (CCTA) or noncontrast cardiac CT (NCCT) identifies individuals at high cardiovascular risk independent of CAC burden.

In this cohort study, a novel artificial intelligence algorithm for measuring FAI score on NCCT was trained and tested in an independent, multicenter, longitudinal cohort of consecutive individuals undergoing clinically indicated CCTA and NCCT for CAC score between 2010 and 2021, with median (IQR) follow-up of 6.7 (4.6-10.0) years. Data were analyzed from January 2010 to March 2024.

The primary outcome was cardiovascular (CV) mortality; the secondary outcome was major adverse cardiovascular events (MACE), comprising , new-onset heart failure, or CV death. The derivation cohort included 6818 individuals (median [IQR] age, 61 [51-71] years; 3543 female participants [52.0%]), and the external validation clinical outcomes cohort included 19 110 individuals (median [IQR] age, 56.0 [48.0-64.0] years; 9289 female participants [48.6%]).

During follow-up, 536 CV deaths and 1727 MACE occurred. FAI scores independently stratified CV mortality risk across CAC score categories, with the strongest associations among individuals with CAC score of 0.

Adding CCTA FAI score or NC FAI score to CAC score significantly improved risk discrimination (area under the curve increased from 0.76 to 0.81 and 0.80, respectively; P < .001), reclassification (net reclassification index), and net benefit across all risk thresholds. Among 89 CV deaths in individuals with CAC score of 0 and 138 CV deaths with CAC score of 1 through 99, 44.9% and 44.2% had NC FAI score above the 75th percentile, respectively.

Among individuals with CAC score of 0, CV mortality rates increased from 1.4 to 4.0 per 1000 person-years for those with NC FAI score above the 75th percentile, and MACE rates increased from 5.9 to 13.3 per 1000 person-years.

03

Clinical Translation & Practice Context

Per the results of this cohort study, NC FAI score provides prognostic performance comparable to CCTA FAI score and improves cardiovascular risk prediction and reclassification beyond CAC score.

Elevated FAI score, derived from either CCTA or NCCT, should be interpreted as a risk-enhancing factor that may prompt intensification of established, evidence-based preventive measures and may serve as a potential future gatekeeper for the use of targeted anti-inflammatory treatments.

03

The Bottom Line · Clinical Pearl

“Per the results of this cohort study, NC FAI score provides prognostic performance comparable to CCTA FAI score and improves cardiovascular risk prediction and reclassification beyond CAC score.”

Published in JAMA Cardiology · Current Stage: Real-World Cohort

Cardiology · Real-World Cohort
Study Type
Observational cohort study

Observational cohort study (6818 individuals)

Evidence Score
4/5 · Strong Clinical Evidence
Evidence Meter · 4/5

Strong Clinical Evidence

Tested directly in patients through a prospective clinical trial or large multicenter human cohort.

Tested directly in patients through a prospective clinical trial or large multicenter human cohort.

Who It Applies To
Individuals undergoing clinically indicated CCTA and NCCT for CAC score between 2
Intervention & Mechanism
Assessment of Coronary Inflammatory Risk From Noncontrast Cardiac Computed Tomography

Inflammation · AI model

Key Limitation
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

Translational Stage

LEVEL 2 · Real-World Cohort

Classified as Observational cohort study along the clinical evidence continuum

  1. Lab & Discovery
  2. Early Trials
  3. Human Evidence
  4. 4Real-World CohortActive

Indexed Clinical Entities

Original Publication & AMA Citation

Assessment of Coronary Inflammatory Risk From Noncontrast Cardiac Computed Tomography. JAMA Cardiology. Published 2026;Nov 11. Accessed November 15, 2026. https://pubmed.ncbi.nlm.nih.gov/43013289/

JAMA Cardiology

https://pubmed.ncbi.nlm.nih.gov/43013289/

Read Original Paper

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