Abstract 4368602: Indexed baseline ascending aortic size shows non-linear relationship with future growth rate.

Background: Predicting ascending aortic growth remains challenging, with few robust clinical predictors beyond known genetic aortopathies. Most current models assume linear growth and assess change over the longest available imaging interval. While convenient, these methods may miss plausible non-linear relationships between size and growth, especially in the context of known compensatory wall remodeling. Research question: Are there non-linear associations between baseline ascending aortic diameter—indexed for body size, age, and sex—and future aortic growth? Methods: We conducted a single-center, retrospective study of patients with ≥2 chest CT/MR angiograms and double-oblique measurements of the mid-ascending aorta. Z-scores normalized aortic diameter by sex, age, and body surface area. Generalized Additive Models (GAMs) with smoothing splines were used to predict aortic growth based on baseline characteristics (maximal diameter, demographics, and clinical risk factors including hypertension, smoking status, and Marfan syndrome). Results: Among 3,349 patients (11,840 scans; 15,103 person-years of follow-up), mean age was 61 ± 13 years; 68% were male; 85% had hypertension; and 2.6% had Marfan syndrome. Both linear models and initial GAMs using clinical variables showed limited predictive power (R2 < 0.01). However, baseline Z-score exhibited a significant non-linear relationship with future growth (Figure 1), with two inflection points (arrows): one below Z = 0 (~36 mm) and another above Z = 5 (~49 mm). This relationship persisted after excluding patients with known genetic aortopathy. Conclusion: Indexed baseline aortic size is non-linearly associated with future ascending aortic growth rate, likely in a quadratic fashion. While accelerated growth was observed above surgical thresholds (Z > 5, diameter > ~49 mm), fast growth also occurred at “normal” aortic sizes (Z < 0, diameter < ~36 mm), a range that accounts for ~1/3 of type A dissections. These findings highlight both the indolent nature of mild-moderate dilation (Z = +2–+5) and the shortcomings of current surveillance strategies, which often overlook patients with rapid growth at non-dilated sizes—underscoring the need for non-size-based risk metrics such as aortic shape, wall biology, and genetics.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4368602
Primary Topic
Aortic aneurysm repair treatments
Type
article
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Abstract 4368602: Indexed baseline ascending aortic size shows non-linear relationship with future growth rate.

Carlos Alberto Campello Jorge, Marion Hofmann Bowman, Heather A. Knauer, Greg Spahlinger et al.
Circulation
Aortic aneurysm repair treatments
article

Abstract 4368602: Indexed baseline ascending aortic size shows non-linear relationship with future growth rate.

Carlos Alberto Campello Jorge, Marion Hofmann Bowman, Heather A. Knauer, Greg Spahlinger, Nicholas S. Burris, Venkatesh Locharla Murthy, Prabhvir Marway
article en

Abstract

Background: Predicting ascending aortic growth remains challenging, with few robust clinical predictors beyond known genetic aortopathies. Most current models assume linear growth and assess change over the longest available imaging interval. While convenient, these methods may miss plausible non-linear relationships between size and growth, especially in the context of known compensatory wall remodeling. Research question: Are there non-linear associations between baseline ascending aortic diameter—indexed for body size, age, and sex—and future aortic growth? Methods: We conducted a single-center, retrospective study of patients with ≥2 chest CT/MR angiograms and double-oblique measurements of the mid-ascending aorta. Z-scores normalized aortic diameter by sex, age, and body surface area. Generalized Additive Models (GAMs) with smoothing splines were used to predict aortic growth based on baseline characteristics (maximal diameter, demographics, and clinical risk factors including hypertension, smoking status, and Marfan syndrome). Results: Among 3,349 patients (11,840 scans; 15,103 person-years of follow-up), mean age was 61 ± 13 years; 68% were male; 85% had hypertension; and 2.6% had Marfan syndrome. Both linear models and initial GAMs using clinical variables showed limited predictive power (R2 < 0.01). However, baseline Z-score exhibited a significant non-linear relationship with future growth (Figure 1), with two inflection points (arrows): one below Z = 0 (~36 mm) and another above Z = 5 (~49 mm). This relationship persisted after excluding patients with known genetic aortopathy. Conclusion: Indexed baseline aortic size is non-linearly associated with future ascending aortic growth rate, likely in a quadratic fashion. While accelerated growth was observed above surgical thresholds (Z > 5, diameter > ~49 mm), fast growth also occurred at “normal” aortic sizes (Z < 0, diameter < ~36 mm), a range that accounts for ~1/3 of type A dissections. These findings highlight both the indolent nature of mild-moderate dilation (Z = +2–+5) and the shortcomings of current surveillance strategies, which often overlook patients with rapid growth at non-dilated sizes—underscoring the need for non-size-based risk metrics such as aortic shape, wall biology, and genetics.

CirculationVol. 152(Suppl_3)
University of Wisconsin–Madison (US), University of Michigan (US), Michigan United (US), Michigan Head and Spine Institute (US)
Openalex Percentile: Top 54%
Aortic aneurysm repair treatments
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