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Horbal SR, Derstine BA, Brown E, Su GL, Wang SC, Holcombe SA. Reference distributions of aortic calcification and association with Framingham risk score. Sci Rep 2023; 13:9421. [PMID: 37296154 PMCID: PMC10256704 DOI: 10.1038/s41598-023-36565-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 06/06/2023] [Indexed: 06/12/2023] Open
Abstract
Evidence supporting aortic calcification as a leverageable cardiovascular risk factor is rapidly growing. Given aortic calcification's potential as a clinical correlate, we assessed granular vertebral-indexed calcification measurements of the abdominal aorta in a well curated reference population. We evaluated the relationship of aortic calcification measurements with Framingham risk scores. After exclusion, 4073 participants from the Reference Analytic Morphomic Population with varying vertebral levels were included. The percent of the aortic wall calcified was used to assess calcification burden at the L1-L4 levels. Descriptive statistics of participants, sex-specific vertebral indexed calcification measurements, relational plots, and relevant associations are reported. Mean aortic attenuation was higher in female than male participants. Overall, mean aortic calcium was higher with reference to inferior abdominal aortic measurements and demonstrated significant differences across all abdominal levels [L3 Area (mm[Formula: see text]): Females 6.34 (sd 16.60), Males 6.23 (sd 17.21); L3 Volume (mm[Formula: see text]): Females 178.90 (sd 474.19), Males 195.80 (sd 547.36); Wall Calcification (%): Females (L4) 6.97 (sd 16.03), Males (L3) 5.46 (13.80)]. Participants with elevated calcification had significantly higher Framingham risk scores compared to participants with normal calcification scores. Opportunistically measuring aortic calcification may inform further cardiovascular risk assessment and enhance cardiovascular event surveillance efforts.
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Affiliation(s)
- Steven R Horbal
- Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Brian A Derstine
- Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA
| | - Edward Brown
- Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA
| | - Grace L Su
- Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI, USA
- Gastroenterology Section, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Stewart C Wang
- Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Sven A Holcombe
- Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA
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Horbal SR, Brown E, Derstine BA, Zhang P, Bidulescu A, Sullivan JA, Ross BE, Su GL, Holcombe SA, Wang SC. A correction score to compare aortic calcification in contrast enhanced and non-contrast measurements from computed tomography scans. Clin Imaging 2021; 83:51-55. [PMID: 34954502 DOI: 10.1016/j.clinimag.2021.11.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/22/2021] [Accepted: 11/27/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Aortic wall calcification shows strong promise as a cardiovascular risk factor. While useful for visual enhancement of vascular tissue, enhancement creates heterogeneity between scans with and without contrast. We evaluated the relationship between aortic calcification in routine abdominal computed tomography scans (CT) with and without contrast. METHODS Inclusion was limited to those with abdominal CT-scans with and without contrast enhancement within 120 days. Analytic Morphomics, a semi-automated computational image processing system, was used to provide standardized, granular, anatomically indexed measurements of aortic wall calcification from abdominal CT-scans. Aortic calcification area (ACA) and aortic wall calcification percent (ACP) and were the outcomes of interest. Multiple linear regression was used to evaluate the relationship of aortic measurements. Models were further controlled for age and sex. Stratification of measurements by vertebral level was also performed. RESULTS A positive association was observed for non-contrast calcification in ACP β 0.74 (95% CI 0.72, 0.76) and ACA β 0.44 (95% 0.43, 0.45). Stratified results demonstrated the highest coefficient of determination at L2 for percent and L3 for area models [R2 0.91 (ACP) 0.74 (ACA)]. Adjusted lumber-level associations between non-contrast and contrast measurements ranged from (β 0.69-0.82) in ACP and (β 0.37-0.54) in ACA. CONCLUSION A straightforward correction score for comparison of abdominal aortic calcification measurements in contrast-enhanced and non-contrast scans is discussed. Correction of aortic calcification from CT scans can reduce scan heterogeneity and will be instrumental in creating larger cardiovascular cohorts as well as cardiovascular risk surveillance programs.
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Affiliation(s)
- Steven R Horbal
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Edward Brown
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Brian A Derstine
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Peng Zhang
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | | | - June A Sullivan
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Brian E Ross
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Grace L Su
- VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
| | - Sven A Holcombe
- Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
| | - Stewart C Wang
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
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Leow K, Szulc P, Schousboe JT, Kiel DP, Teixeira‐Pinto A, Shaikh H, Sawang M, Sim M, Bondonno N, Hodgson JM, Sharma A, Thompson PL, Prince RL, Craig JC, Lim WH, Wong G, Lewis JR. Prognostic Value of Abdominal Aortic Calcification: A Systematic Review and Meta-Analysis of Observational Studies. J Am Heart Assoc 2021; 10:e017205. [PMID: 33439672 PMCID: PMC7955302 DOI: 10.1161/jaha.120.017205] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 10/23/2020] [Indexed: 01/07/2023]
Abstract
Background The prognostic importance of abdominal aortic calcification (AAC) viewed on noninvasive imaging modalities remains uncertain. Methods and Results We searched electronic databases (MEDLINE and Embase) until March 2018. Multiple reviewers identified prospective studies reporting AAC and incident cardiovascular events or all-cause mortality. Two independent reviewers assessed eligibility and risk of bias and extracted data. Summary risk ratios (RRs) were estimated using random-effects models comparing the higher AAC groups combined (any or more advanced AAC) to the lowest reported AAC group. We identified 52 studies (46 cohorts, 36 092 participants); only studies of patients with chronic kidney disease (57%) and the general older-elderly (median, 68 years; range, 60-80 years) populations (26%) had sufficient data to meta-analyze. People with any or more advanced AAC had higher risk of cardiovascular events (RR, 1.83; 95% CI, 1.40-2.39), fatal cardiovascular events (RR, 1.85; 95% CI, 1.44-2.39), and all-cause mortality (RR, 1.98; 95% CI, 1.55-2.53). Patients with chronic kidney disease with any or more advanced AAC had a higher risk of cardiovascular events (RR, 3.47; 95% CI, 2.21-5.45), fatal cardiovascular events (RR, 3.68; 95% CI, 2.32-5.84), and all-cause mortality (RR, 2.40; 95% CI, 1.95-2.97). Conclusions Higher-risk populations, such as the elderly and those with chronic kidney disease with AAC have substantially greater risk of future cardiovascular events and poorer prognosis. Providing information on AAC may help clinicians understand and manage patients' cardiovascular risk better.
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Affiliation(s)
- Kevin Leow
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
| | - Pawel Szulc
- INSERM UMR 1033University of LyonHospices Civils de LyonLyonFrance
| | - John T. Schousboe
- Park Nicollet Osteoporosis Center and HealthPartners InstituteMinneapolisMN
- Division of Health Policy and ManagementUniversity of MinnesotaMinneapolisMN
| | - Douglas P. Kiel
- Department of MedicineHinda and Arthur Marcus Institute for Aging ResearchHebrew Senior LifeBeth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA
| | - Armando Teixeira‐Pinto
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
| | - Hassan Shaikh
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
| | - Michael Sawang
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
| | - Marc Sim
- Institute of Nutrition Research prior to school of medical and health sciencesEdith Cowan UniversityJoondalupAustralia
- Medical SchoolUniversity of Western AustraliaPerthAustralia
| | - Nicola Bondonno
- Institute of Nutrition Research prior to school of medical and health sciencesEdith Cowan UniversityJoondalupAustralia
- Medical SchoolUniversity of Western AustraliaPerthAustralia
| | - Jonathan M. Hodgson
- Institute of Nutrition Research prior to school of medical and health sciencesEdith Cowan UniversityJoondalupAustralia
- Medical SchoolUniversity of Western AustraliaPerthAustralia
| | - Ankit Sharma
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
| | - Peter L. Thompson
- Department of CardiologySir Charles Gairdner HospitalPerthAustralia
- Harry Perkins Institute of Medical ResearchPerthAustralia
| | - Richard L. Prince
- Medical SchoolUniversity of Western AustraliaPerthAustralia
- Department of Endocrinology and DiabetesSir Charles Gairdner HospitalPerthAustralia
| | - Jonathan C. Craig
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
- College of Medicine and Public HealthFlinders UniversityAdelaideAustralia
| | - Wai H. Lim
- Institute of Nutrition Research prior to school of medical and health sciencesEdith Cowan UniversityJoondalupAustralia
- Department of Renal MedicineSir Charles Gairdner HospitalPerthAustralia
| | - Germaine Wong
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
| | - Joshua R. Lewis
- Centre for Kidney ResearchSchool of Public HealthFaculty of Medicine and HealthChildren’s Hospital at WestmeadThe University of SydneyNew South WalesAustralia
- Institute of Nutrition Research prior to school of medical and health sciencesEdith Cowan UniversityJoondalupAustralia
- Medical SchoolUniversity of Western AustraliaPerthAustralia
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Schousboe JT, Lewis JR, Kiel DP. Abdominal aortic calcification on dual-energy X-ray absorptiometry: Methods of assessment and clinical significance. Bone 2017; 104:91-100. [PMID: 28119178 DOI: 10.1016/j.bone.2017.01.025] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 01/20/2017] [Accepted: 01/20/2017] [Indexed: 10/20/2022]
Abstract
Abdominal aortic calcification (AAC) can be accurately recognized on lateral spine images intended for vertebral fracture assessment, that are obtained with dual-energy X-ray absorptiometry (DXA). Greater amounts of AAC are common in the older population for whom DXA is routinely done, and have been consistently associated with incident atherosclerotic cardiovascular disease (ASCVD) events. AAC has also been associated with incident fractures in some prospective studies, but not in others. However, further research is needed to quantify the extent to which measurement of AAC improves prediction of ASCVD events and its impact on physician and patient ASCVD risk management. Additionally, research to develop better, more precise, automated, quantitative methods of AAC assessment on lateral spine densitometric images will hopefully lead to better prediction of clinical outcomes. In conclusion, although the prime indication for densitometric lateral spine imaging remains vertebral fracture assessment, AAC that is found incidentally on lateral spine images should be reported, so that patients and their health care providers are aware of its presence.
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Affiliation(s)
- John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, HealthPartners Inc., Minneapolis, MN, USA; Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA.
| | - Joshua R Lewis
- University of Western Australia School of Medicine and Pharmacology, Sir Charles Gairdner Hospital Unit, Perth, Australia; Centre for Kidney Research, Children's Hospital at Westmead, School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Douglas P Kiel
- Institute for Aging Research, Hebrew Senior Life, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
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Elmasri K, Hicks Y, Yang X, Sun X, Pettit R, Evans W. Automatic Detection and Quantification of Abdominal Aortic Calcification in Dual Energy X-ray Absorptiometry. ACTA ACUST UNITED AC 2016. [DOI: 10.1016/j.procs.2016.08.116] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Pariente-Rodrigo E, Alessia Sgaramella G, García-Velasco P, Hernández-Hernández J, Landeras-Alvaro R, Manuel Olmos-Martínez J. Reliability of radiologic evaluation of abdominal aortic calcification using the 24-point scale. RADIOLOGIA 2016. [DOI: 10.1016/j.rxeng.2015.12.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Pariente-Rodrigo E, Sgaramella GA, García-Velasco P, Hernández-Hernández J, Landeras-Alvaro R, Olmos-Martínez JM. Fiabilidad en la evaluación radiológica de la calcificación aórtica abdominal mediante la escala de 24 puntos. RADIOLOGIA 2016; 58:46-54. [DOI: 10.1016/j.rx.2015.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Revised: 02/22/2015] [Accepted: 03/02/2015] [Indexed: 10/23/2022]
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Barascuk N, Ganz M, Nielsen M, Register TC, Rasmussen LM, Karsdal MA, Christiansen C. Abdominal aortic calcification quantified by the Morphological Atherosclerotic Calcification Distribution (MACD) index is associated with features of the metabolic syndrome. BMC Cardiovasc Disord 2011; 11:75. [PMID: 22185588 PMCID: PMC3258192 DOI: 10.1186/1471-2261-11-75] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2011] [Accepted: 12/20/2011] [Indexed: 11/17/2022] Open
Abstract
Background Abdominal aortic calcifications (AAC) predict cardiovascular mortality. A new scoring model for AAC, the Morphological Atherosclerotic Calcification Distribution (MACD) index may contribute with additional information to the commonly used Aortic Calcification Severity (AC24) score, when predicting death from cardiovascular disease (CVD). In this study we investigated associations of MACD and AC24 with traditional metabolic-syndrome associated risk factors at baseline and after 8.3 years follow-up, to identify biological parameters that may account for the differential performance of these indices. Methods Three hundred and eight healthy women aged 48 to 76 years, were followed for 8.3 ± 0.3 years. AAC was quantified using lumbar radiographs. Baseline data included age, weight, blood pressure, blood lipids, and glucose levels. Pearson correlation coefficients were used to test for relationships. Results At baseline and across all patients, MACD correlated with blood glucose (r2 = 0.1, P< 0.001) and to a lesser, but significant extent with traditional risk factors (p < 0.01) of CVD. In the longitudinal analysis of correlations between baseline biological parameters and the follow-up calcification assessment using radiographs we found LDL-cholesterol, HDL/LDL, and the ApoB/ApoA ratio significantly associated with the MACD (P< 0.01). In a subset of patients presenting with calcification at both baseline and at follow-up, all cholesterol levels were significantly associated with the MACD (P< 0.01) index. AC24 index was not correlated with blood parameters. Conclusion Patterns of calcification identified by the MACD, but not the AC24 index, appear to contain useful biological information perhaps explaining part of the improved identification of risk of cardiovascular death of the MACD index. Correlations of MACD but not the AC24 with glucose levels at baseline suggest that hyperglycemia may contribute to unique patterns of calcification indicated by the MACD.
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Affiliation(s)
- Natasha Barascuk
- Nordic Bioscience A/S, Herlev Hovedgade 207, 2730 Herlev, Denmark.
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