Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784789315200483328 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9472497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fuliyao remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT taishi remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT sunjiaxing remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT zhangningjie remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT zhouying remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT xingzhenhua remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT wangyongjun remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort AT zhoushenghua remnantcholesterolanditsvisittovisitvariabilitypredictcardiovascularoutcomesinpatientswithtype2diabetesfindingsfromtheaccordcohort |