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Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort

OBJECTIVE: Remnant cholesterol (remnant-C) predicts atherosclerotic cardiovascular disease, regardless of LDL-cholesterol (LDL-C) levels. This study assessed the associations between remnant-C and cardiovascular outcomes in type 2 diabetes. RESEARCH DESIGN AND METHODS: This post hoc analysis of the...

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Autores principales: Fu, Liyao, Tai, Shi, Sun, Jiaxing, Zhang, Ningjie, Zhou, Ying, Xing, Zhenhua, Wang, Yongjun, Zhou, Shenghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472497/
https://www.ncbi.nlm.nih.gov/pubmed/35834242
http://dx.doi.org/10.2337/dc21-2511
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author Fu, Liyao
Tai, Shi
Sun, Jiaxing
Zhang, Ningjie
Zhou, Ying
Xing, Zhenhua
Wang, Yongjun
Zhou, Shenghua
author_facet Fu, Liyao
Tai, Shi
Sun, Jiaxing
Zhang, Ningjie
Zhou, Ying
Xing, Zhenhua
Wang, Yongjun
Zhou, Shenghua
author_sort Fu, Liyao
collection PubMed
description OBJECTIVE: Remnant cholesterol (remnant-C) predicts atherosclerotic cardiovascular disease, regardless of LDL-cholesterol (LDL-C) levels. This study assessed the associations between remnant-C and cardiovascular outcomes in type 2 diabetes. RESEARCH DESIGN AND METHODS: This post hoc analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial used patient (type 2 diabetes >3 months) remnant-C and major adverse cardiovascular event (MACE) data from the study database. The associations between remnant-C and MACEs were evaluated using Cox proportional hazards regression analyses. We examined the relative MACE risk in remnant-C versus LDL-C discordant/concordant groups using clinically relevant LDL-C targets by discordance analyses. RESULTS: The baseline analysis included 10,196 participants, with further visit-to-visit variability analysis including 9,650 participants. During follow-up (median, 8.8 years), 1,815 patients (17.8%) developed MACEs. After adjusting for traditional cardiovascular risk factors, each 1-SD increase in remnant-C was associated with a 7% higher MACE risk (hazard ratio [HR] 1.07, 95% CI 1.02–1.12, P = 0.004). In the fully adjusted model, the visit-to-visit remnant-C variability calculated using logSD (HR 1.41, 95% CI 1.18–1.69, P < 0.001) and logARV (HR 1.45, 95% CI 1.22–1.73, P < 0.001) was associated with MACEs. Residual lipid risk (remnant-C ≥31 mg/dL) recognized individuals at a higher MACE risk, regardless of LDL-C concentrations. Within each LDL-C subgroup (>100 or ≤100 mg/dL), high baseline remnant-C was associated with a higher MACE risk (HR 1.37, 95% CI 1.09–1.73, P = 0.007; HR 1.22, 95% CI 1.04–1.41, P = 0.015, respectively). CONCLUSIONS: Remnant-C levels were associated with MACEs in patients with type 2 diabetes independent of LDL-C, and visit-to-visit remnant-C variability helped identify those with higher cardiovascular risk.
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spelling pubmed-94724972022-10-14 Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort Fu, Liyao Tai, Shi Sun, Jiaxing Zhang, Ningjie Zhou, Ying Xing, Zhenhua Wang, Yongjun Zhou, Shenghua Diabetes Care Cardiovascular and Metabolic Risk OBJECTIVE: Remnant cholesterol (remnant-C) predicts atherosclerotic cardiovascular disease, regardless of LDL-cholesterol (LDL-C) levels. This study assessed the associations between remnant-C and cardiovascular outcomes in type 2 diabetes. RESEARCH DESIGN AND METHODS: This post hoc analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial used patient (type 2 diabetes >3 months) remnant-C and major adverse cardiovascular event (MACE) data from the study database. The associations between remnant-C and MACEs were evaluated using Cox proportional hazards regression analyses. We examined the relative MACE risk in remnant-C versus LDL-C discordant/concordant groups using clinically relevant LDL-C targets by discordance analyses. RESULTS: The baseline analysis included 10,196 participants, with further visit-to-visit variability analysis including 9,650 participants. During follow-up (median, 8.8 years), 1,815 patients (17.8%) developed MACEs. After adjusting for traditional cardiovascular risk factors, each 1-SD increase in remnant-C was associated with a 7% higher MACE risk (hazard ratio [HR] 1.07, 95% CI 1.02–1.12, P = 0.004). In the fully adjusted model, the visit-to-visit remnant-C variability calculated using logSD (HR 1.41, 95% CI 1.18–1.69, P < 0.001) and logARV (HR 1.45, 95% CI 1.22–1.73, P < 0.001) was associated with MACEs. Residual lipid risk (remnant-C ≥31 mg/dL) recognized individuals at a higher MACE risk, regardless of LDL-C concentrations. Within each LDL-C subgroup (>100 or ≤100 mg/dL), high baseline remnant-C was associated with a higher MACE risk (HR 1.37, 95% CI 1.09–1.73, P = 0.007; HR 1.22, 95% CI 1.04–1.41, P = 0.015, respectively). CONCLUSIONS: Remnant-C levels were associated with MACEs in patients with type 2 diabetes independent of LDL-C, and visit-to-visit remnant-C variability helped identify those with higher cardiovascular risk. American Diabetes Association 2022-09 2022-07-14 /pmc/articles/PMC9472497/ /pubmed/35834242 http://dx.doi.org/10.2337/dc21-2511 Text en © 2022 by the American Diabetes Association https://www.diabetesjournals.org/content/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license.
spellingShingle Cardiovascular and Metabolic Risk
Fu, Liyao
Tai, Shi
Sun, Jiaxing
Zhang, Ningjie
Zhou, Ying
Xing, Zhenhua
Wang, Yongjun
Zhou, Shenghua
Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort
title Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort
title_full Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort
title_fullStr Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort
title_full_unstemmed Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort
title_short Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort
title_sort remnant cholesterol and its visit-to-visit variability predict cardiovascular outcomes in patients with type 2 diabetes: findings from the accord cohort
topic Cardiovascular and Metabolic Risk
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472497/
https://www.ncbi.nlm.nih.gov/pubmed/35834242
http://dx.doi.org/10.2337/dc21-2511
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