1
|
Do H, Kwon OC, Ha JW, Chung J, Park YB, Huh JH, Lee SW. Remnant Cholesterol Levels at Diagnosis May Predict Acute Coronary Syndrome Occurrence During Follow-Up in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis. J Clin Med 2025; 14:2260. [PMID: 40217710 PMCID: PMC11989813 DOI: 10.3390/jcm14072260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2025] [Revised: 03/21/2025] [Accepted: 03/24/2025] [Indexed: 04/14/2025] Open
Abstract
Background/Objectives: Previous studies have revealed the predictive potential of remnant cholesterol (RC) for acute coronary syndrome (ACS) occurrence in the general population. However, whether this association applies to patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV), in which a lipid paradox exists, remains unclear. We investigated whether RC levels at diagnosis could predict ACS occurrence during follow-up in patients with AAV. Methods: This study included 139 patients with AAV. ACS was defined as ST-elevation myocardial infarction (STEMI), non-STEMI, or unstable angina occurring after AAV diagnosis. RC levels were calculated as (total cholesterol)-(low-density lipoprotein cholesterol)-(high-density lipoprotein cholesterol). Patients were categorised into three groups by RC tertiles: highest (≥26.2 mg/dL), middle (19.1-26.1 mg/dL), and lowest (≤19.0 mg/dL) tertile groups. Results: The median age of the 139 patients (male, 31.7%) was 58.0 years. During follow-up, six, two, and one patients were diagnosed with ACS in the highest, middle, and lowest tertile groups, respectively. Patients in the highest tertile group exhibited a significantly lower ACS-free survival rate than those in the lowest tertile (p = 0.030). In the multivariable Cox hazards model, male sex (hazard ratio [HR] 9.054, 95% confidence interval [CI] 1.786-45.910), Birmingham vasculitis activity score (HR 1.147, 95% CI 1.033-1.274), and the highest tertile of RC levels (HR 10.818, 95% CI 1.867-62.689) were significantly and independently associated with ACS occurrence during follow-up in patients with AAV. Conclusions: Our findings indicate that RC levels at diagnosis may predict ACS occurrence during follow-up in patients with AAV, regardless of the traditional cardiovascular risk factors.
Collapse
Affiliation(s)
- Hyunsue Do
- Division of Rheumatology, Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon-si 24341, Republic of Korea;
| | - Oh Chan Kwon
- Division of Rheumatology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea;
| | - Jang Woo Ha
- Division of Rheumatology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Republic of Korea;
| | - Jihye Chung
- Division of Rheumatology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (J.C.); (Y.-B.P.)
| | - Yong-Beom Park
- Division of Rheumatology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (J.C.); (Y.-B.P.)
- Institute for Immunology and Immunological Diseases, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Ji Hye Huh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang 14068, Republic of Korea
| | - Sang-Won Lee
- Division of Rheumatology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (J.C.); (Y.-B.P.)
- Institute for Immunology and Immunological Diseases, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| |
Collapse
|
2
|
Wang A, Zhang S, Li Y, Zhu F, Xie B. Study on the relationship between lipoprotein (a) and diabetic kidney disease. J Diabetes Complications 2023; 37:108378. [PMID: 36549039 DOI: 10.1016/j.jdiacomp.2022.108378] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Little is currently known about the role of lipid metabolism in diabetic kidney disease (DKD), warranting further study. The present study sought to investigate the correlation between lipid metabolism and renal function as well as renal pathological grade/score in DKD patients. METHODS A total of 224 patients diagnosed with DKD by pathological examination were retrospectively analyzed, of which 74 patients were further evaluated by DKD pathological grade/score. ANOVA was used to investigate serum lipoprotein (a) [Lp (a)] levels in DKD patients with different chronic kidney disease (CKD) stages. Spearman correlation analysis was used to evaluate the relationship between Lp (a) and renal function-related indicators. The DKD pathological grade/score was also evaluated with this method. The receiver operating characteristic (ROC) curve was used to analyze the value of Lp (a) in assessing renal function and pathological changes. RESULTS There were significant differences in Lp (a) levels among different CKD stages (H = 17.063, p = 0.002) and glomerular grades (H = 12.965, p = 0.005). Lp (a) levels correlated with serum creatinine (p = 0.000), blood urea nitrogen (p = 0.000), estimated glomerular filtration rate (p = 0.000), 24-h proteinuria (24hUPro, p = 0.000), urine microalbumin (p = 0.000), urine albumin creatinine ratio (p = 0.000), glomerular basement membrane thickness (p = 0.003), and glomerular grade (p = 0.039). ROC curve demonstrated good performance of Lp (a) as an indicator to assess CKD stage 4-5 (AUC = 0.684, p = 0.000), 24hUPro > 3.5 g (AUC = 0.720, p = 0.000), and glomerular grade III-IV (AUC = 0.695, p = 0.012). CONCLUSIONS Elevated levels of Lp (a) are associated with decreased GFR, increased proteinuria, and renal pathological progression, suggesting they could be used to monitor changes in DKD patients.
Collapse
Affiliation(s)
- Anni Wang
- Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Tiyuchang Rd 453, Hangzhou 310007, People's Republic of China.
| | - Shaojie Zhang
- Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Tiyuchang Rd 453, Hangzhou 310007, People's Republic of China
| | - Yayu Li
- Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Tiyuchang Rd 453, Hangzhou 310007, People's Republic of China
| | - Fenggui Zhu
- Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Tiyuchang Rd 453, Hangzhou 310007, People's Republic of China
| | - Bo Xie
- Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Tiyuchang Rd 453, Hangzhou 310007, People's Republic of China; Hangzhou Third People's Hospital, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Westlake Ave 38, Hangzhou 310009, People's Republic of China.
| |
Collapse
|
3
|
Yao Y, Liu J, Wang B, Zhou Z, Lu X, Huang Z, Deng J, Yang Y, Tan N, Chen S, Chen J, Liu Y. Baseline Low-Density-Lipoprotein Cholesterol Modifies the Risk of All-Cause Death Associated With Elevated Lipoprotein(a) in Coronary Artery Disease Patients. Front Cardiovasc Med 2022; 8:817442. [PMID: 35097030 PMCID: PMC8792964 DOI: 10.3389/fcvm.2021.817442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The prognostic value of elevated lipoprotein(a) [Lp(a)] in coronary artery disease (CAD) patients is inconsistent in previous studies, and whether such value changes at different low-density-lipoprotein cholesterol (LDL-C) levels is unclear. Methods and Findings: CAD patients treated with statin therapy from January 2007 to December 2018 in the Guangdong Provincial People's Hospital (NCT04407936) were consecutively enrolled. Individuals were categorized according to the baseline LDL-C at cut-off of 70 and 100 mg/dL. The primary outcome was 5-year all-cause death. Multivariate Cox proportional models and penalized spline analyses were used to evaluate the association between Lp(a) and all-cause mortality. Among 30,908 patients, the mean age was 63.1 ± 10.7 years, and 76.7% were men. A total of 2,383 (7.7%) patients died at 5-year follow-up. Compared with Lp(a) <50 mg/dL, Lp(a) ≥ 50 mg/dL predicted higher all-cause mortality (multivariable adjusted HR = 1.19, 95% CI 1.07-1.31) in the total cohort. However, when analyzed within each LDL-C category, there was no significant association between Lp(a) ≥ 50 mg/dL and higher all-cause mortality unless the baseline LDL-C was ≥ 100 mg/dL (HR = 1.19, 95% CI 1.04-1.36). The results from penalized spline analyses were robust. Conclusions: In statin-treated CAD patients, elevated Lp(a) was associated with increased risks of all-cause death, and such an association was modified by the baseline LDL-C levels. Patients with Lp(a) ≥ 50 mg/dL had higher long-term risks of all-cause death compared with those with Lp(a) <50 mg/dL only when their baseline LDL-C was ≥ 100 mg/dL.
Collapse
Affiliation(s)
- Younan Yao
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bo Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ziyou Zhou
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
| | - Xiaozhao Lu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Zhidong Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jingru Deng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yongquan Yang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shiqun Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| |
Collapse
|