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249 results on '"Kinninger, April"'

5. The impact of carbohydrate restriction-induced elevations in low-density lipoprotein cholesterol on progression of coronary atherosclerosis: the ketogenic diet trial study design

Author

Javier, Denise Alison R., Manubolu, Venkat S., Norwitz, Nicholas G., Kinninger, April, Aldana-Bitar, Jairo, Ghanem, Ahmed, Ahmad, Khadije, Vicuna, Will D., Hamidi, Hossein, Bagheri, Marziyeh, Elsayed, Tasneem, Villanueva, Bea, Ichikawa, Keishi, Flores, Ferdinand, Hamal, Sajad, Feldman, David, and Budoff, Matthew J.

Published
2024
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6. Effect of colchicine on progression of known coronary atherosclerosis in patients with STable CoROnary artery disease CoMpared to placebo (EKSTROM) trial—rationale and design

Author

Verghese, Dhiran, Hamal, Sajad, Ghanem, Ahmed, Kinninger, April, Javier, Denise, Ichikawa, Keshi, Benzing, Travis, Krishnan, Srikanth, Kianoush, Sina, Hamidi, Hossein, Bagheri, Marziyeh, Abraham, Divya, Deljavanghodrati, Mina, Ghoto, Ayesha, Aldana-Bitar, Jairo, and Budoff, Matthew

Published
2024
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7. When Does a Calcium Score Equate to Secondary Prevention?: Insights From the Multinational CONFIRM Registry

Author

Budoff, Matthew J., Kinninger, April, Gransar, Heidi, Achenbach, Stephan, Al-Mallah, Mouaz, Bax, Jeroen J., Berman, Daniel S., Cademartiri, Filippo, Callister, Tracy Q., Chang, Hyuk-Jae, Chow, Benjamin J.W., Cury, Ricardo C., Feuchtner, Gudrun, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A., Leipsic, Jonathon, Lin, Fay Y., Kim, Yong-Jin, Marques, Hugo, Pontone, Gianluca, Rubinshtein, Ronen, Shaw, Leslee J., Villines, Todd C., and Min, James K.

Published
2023
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21. Prevalence of normal coronary arteries by coronary computed tomography angiography (CCTA) in patients with type 2 diabetes mellitus from Semaglutide Treatment on Coronary Plaque Progression (STOP) trial

Author

Birudaraju, Divya, Cherukuri, Lavanya, Kinninger, April, Dahal, Suraj, Lakshmanan, Suvasini, Rezvanizadeh, Vahid, Ghanem, Ahmed K., Flores, Ferdinand, Hamal, Sajad, Pozon, Ryan G., Adudodla, Nishitha, Tayek, John A., Roy, Sion K., and Budoff, Matthew J.

Published
2021
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28. Abstract 15238: Impact of Statins on All-Cause Mortality in Subjects With Severe Coronary Artery Calcium Score: Results Form the Confirm (Coronary Ct Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) Registry

Author

Verghese, Dhiran, Kinninger, April, Manubolu, Venkat S, Aldana-Bitar, Jairo, Alalawi, Luay Hussein, Min, James K, Earls, James, Achenbach, Stephan, Dunham, Ashley, Crabtree, Tami, Gransar, Heidi, Al-Mallah, Mouaz, Bax, Jeroen J, Berman, Daniel S, Cademartiri, Filippo, Callister, Tracy, Chang, Hyuk-Jae, Chow, Benjamin J, Cury, Ricardo C, Feuchtner, Gudrun M, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A, Leipsic, Jonathon, Lin, Fay Y, Kim, Yong-Jin, Marques, Hugo, Pontone, Gianluca, Rubinshtein, Ronen, Villines, Todd, Shaw, Leslee J, and Budoff, Matthew

Published
2022
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42. Risk stratifying individuals with zero, minimal, and mild coronary artery calcium for cardiovascular disease by determining coronary plaque burden.

Author

Ansari, Salman, Pourafkari, Leili, Kinninger, April, Manubolu, Venkat, and Budoff, Matthew J.

Abstract

Use of coronary artery calcium (CAC) continues to expand, and several different categories of risk have been developed. Some categorize CAC as <10, 11–100 and ​> ​100, while others use CAC ​= ​0,1–10, 11–100 and ​> ​100 as categories. We sought to evaluate the plaque burden in patients with CAC 0, 1–10 and 11–100 to evaluate the best use of CAC scoring for risk assessment. Patients were recruited from existing prospective CCTA trials with CAC scores ≤100 and quantitative coronary plaque analysis (QAngio, Medis). CAC was categorized into three groups: zero (CAC ​= ​0), minimal (CAC 1–10), and mild (CAC 11–100). Plaque levels (low attenuated, fibrous, fibro-fatty, dense calcified, total non-calcified) were assessed using multivariable linear regression adjusted for cardiovascular risk factors (age, ethnicity, BMI, gender, hypertension, dyslipidemia, diabetes mellitus, past smoking). 378 subjects were included, with an average age of 53.9 ​± ​10.7 years and 53 ​% female. Among them, 51 ​% had 0 CAC, 16 ​% had minimal CAC (scores 1–10), and 33 ​% had mild CAC (scores 11–100). The minimal and mild CAC groups were significantly older, with higher rates of diabetes, hypertension, and hyperlipidemia. Multivariable analysis found no significant difference in low attenuated, fibro-fatty, and dense calcified plaque levels between the minimal and zero CAC groups. However, minimal CAC subjects had significantly higher fibrous, total non-calcified, and total plaque volumes than zero CAC. All plaque types were significantly higher in the mild group when comparing mild CAC to minimal CAC. Individuals with minimal calcium scores (1–10) had greater noncalcified coronary plaque (NCAP) and total plaque volume than individuals with a calcium score of zero. The increased presence of NCAP and total plaque volume in the minimal CAC (1–10) is clinically significant and place those patients at higher coronary vascular disease (CVD) risk than individuals with absent CAC (CAC ​= ​zero). Therefore, the use of CAC ​= ​0, 1–10 and 11–100 is prudent to better categorize CVD risk. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Comparison of Coronary Artery Calcium and Quantitative Coronary Plaque in Predicting Obstructive Coronary Artery Disease: Subgroup Analysis of the CLARIFY Study.

Author

Sanjay Manubolu, Venkat, Dahal, Suraj, Lakshmanan, Suvasini, Crabtree, Tami, Kinninger, April, Shafter, Ahmed M., Aldana Bitar, Jairo, Verghese, Dhiran, Alalawi, Luay, Dailing, Chris, Earls, James P., and Budoff, Matthew J.

Subjects
RISK assessment, CROSS-sectional method, PREDICTIVE tests, CHEST pain, DATA analysis, RECEIVER operating characteristic curves, RESEARCH funding, BLOOD vessels, COMPUTED tomography, DESCRIPTIVE statistics, CALCIUM, RESEARCH, STATISTICS, CORONARY artery disease, CORONARY artery stenosis, DISEASE risk factors
Abstract

Background: Agatston coronary artery calcium (CAC) score is a strong predictor of mortality. However, the relationship between CAC and quantitative calcified plaque volume (CPV), which is measured on coronary computed tomography angiography (CCTA), is not well understood. Furthermore, there is limited evidence evaluating the difference between CAC versus CPV and CAC versus total plaque volume (TPV) in predicting obstructive coronary artery disease (CAD). Methods: This study included 147 subjects from the CLARIFY registry, a multicentered study of patients undergoing assessment using CCTA and CAC score as part of acute and stable chest pain evaluation. Automated software service (Cleerly.Inc, Denver, CO, USA) was used to evaluate the degree of vessel stenosis and plaque quantification on CCTA. CAC was measured using the standard Agatston method. Spearman correlation and receiver operating characteristic curve analysis was performed to evaluate the diagnostic ability of CAC, CPV and TPV in detecting obstructive CAD. Results: Results demonstrated a very strong positive correlation between CAC and CPV (r=0.76, p=0.0001) and strong correlation between CAC and TPV (r=0.72, p<0.001) at per-patient level analysis. At per-patient level analysis, the sensitivity of CAC (68%) is lower than CPV (77%) in predicting >50% stenosis, but negative predictive value is comparable. However, the sensitivity of TPV is higher compared with CAC in predicting >50% stenosis, and the negative predictive value of TPV is also higher. Conclusion: CPV and TPV are more sensitive in predicting the severity of obstructive CAD compared with the CAC score. However, the negative predictive value of CAC is comparable to CPV, but is lower than TPV. This study elucidates the relationship between CAC and quantitative plaque types, and especially emphasizes the differences between CAC and CPV which are two distinct plaque measurement techniques that are utilized in predicting obstructive CAD. [ABSTRACT FROM AUTHOR]

Published
2024
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