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Xu J, Du X, Zhang S, Zang X, Xiao Z, Su R, Huang X, Liu L. Diagnostic value of uric acid to high-density lipoprotein cholesterol ratio in abdominal aortic aneurysms. Ann Med 2024; 56:2357224. [PMID: 38779715 PMCID: PMC11123539 DOI: 10.1080/07853890.2024.2357224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/05/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Abdominal aortic aneurysm (AAA) is highly lethal upon onset of acute aortic diseases (AAD) or rupture. Dyslipidaemia and hyperuricaemia are important risk factors for the development of AAA and AAD as well as aortic disease-related death. The aim of this study was to explore whether uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) can be used as an independent predictor of the presence of AAA or AAD. METHODS Three hundred subjects, including 100 AAA patients (AAA group), 100 AAD patients (AAD group) and 100 controls (CON group), were recruited in this study. UHR and other serum samples were obtained upon the patients' admission before any medical treatment. The optimal cut-off points of UHR were determined using receiver operating characteristic (ROC) curve analysis. RESULTS The UHR in AAA group was significantly higher than that in CON group, but there was no significant difference between AAD group and CON group. The optimal cut-off point of UHR for AAA was 7.78 (sensitivity 84.7%, specificity 62.4%, and AUC 0.811; p < 0.001), and UHR (OR: 1.122, 95%CI: 1.064-1.184; p < 0.001) was found to be an independent factor for predicting AAA after adjusting for traditional AAA risk factor. CONCLUSION UHR can be widely used in clinical practice as an auxiliary tool for screening AAA. The optimal cut-off point for UHR to AAA was determined for the first time in Chinese subjects.
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Affiliation(s)
- Jin Xu
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Hunan, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Hunan, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Hunan, China
- Cardiovascular Disease Research Center of Hunan Province, Hunan, China
| | - Xiao Du
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shilan Zhang
- Department of Cardiovascular Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine
| | - Xueyan Zang
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Hunan, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Hunan, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Hunan, China
- Cardiovascular Disease Research Center of Hunan Province, Hunan, China
| | - Zixi Xiao
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Hunan, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Hunan, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Hunan, China
- Cardiovascular Disease Research Center of Hunan Province, Hunan, China
| | - Rongkai Su
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Hunan, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Hunan, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Hunan, China
- Cardiovascular Disease Research Center of Hunan Province, Hunan, China
| | - Xiadie Huang
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Hunan, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Hunan, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Hunan, China
- Cardiovascular Disease Research Center of Hunan Province, Hunan, China
| | - Ling Liu
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Hunan, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Hunan, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Hunan, China
- Cardiovascular Disease Research Center of Hunan Province, Hunan, China
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Yan L, Hu X, Wu S, Zhao S. Association of platelet to high-density lipoprotein cholesterol ratio with hyperuricemia. Sci Rep 2024; 14:15641. [PMID: 38977840 PMCID: PMC11231316 DOI: 10.1038/s41598-024-66747-x] [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: 03/21/2024] [Accepted: 07/03/2024] [Indexed: 07/10/2024] Open
Abstract
The platelet/high-density lipoprotein ratio (PHR) has been identified as a significant indicator of inflammation and a hypercoagulable state, demonstrating a strong link with the severity of nonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS). However, its correlation with hyperuricemia has not yet been documented. This study utilized a cross-sectional design, analyzing data collected from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016 in the United States. The platelet/high-density lipoprotein ratio (PHR) was determined by dividing the number of platelets (PLT) by the level of high-density lipoprotein cholesterol (HDL-C). We employed multivariable logistic regression analyses, generalized additive models, and subgroup analyses to investigate the correlation between PHR and hyperuricemia. The study revealed a hyperuricemia prevalence of 18.56%. Analysis indicated a significant positive correlation between PHR and the risk of hyperuricemia (OR 1.11, 95% CI 1.08, 1.14). This correlation remained consistent across different subgroups including age, ethnicity, gender, and body mass index (BMI). Smooth curve fitting demonstrated a saturation effect between PHR and the risk of hyperuricemia. PHR is positively correlated with hyperuricemia and may serve as a novel biomarker for predicting the onset of this condition. Additionally, targeted interventions to improve PHR might help reduce the incidence of hyperuricemia.
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Affiliation(s)
- Laisha Yan
- Department of Cardio Surgery Intensive Care Unit, Ningbo Medical Centre Li Huili Hospital, Ningbo, China
| | - Xiaoyan Hu
- Department of Cardio Surgery Intensive Care Unit, Ningbo Medical Centre Li Huili Hospital, Ningbo, China
| | - Shanshan Wu
- Department of Cardio Surgery Intensive Care Unit, Ningbo Medical Centre Li Huili Hospital, Ningbo, China
| | - Shunying Zhao
- Department of Cardio Surgery Intensive Care Unit, Ningbo Medical Centre Li Huili Hospital, Ningbo, China.
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Xu F, Ma C, Wang S, Li Q, Zhang Z, He M. Higher Atherogenic Index of Plasma Is Associated with Hyperuricemia: A National Longitudinal Study. Int J Endocrinol 2024; 2024:4002839. [PMID: 38410172 PMCID: PMC10896650 DOI: 10.1155/2024/4002839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 02/28/2024] Open
Abstract
Background The association between atherogenic index of plasma (AIP) and hyperuricemia remains indistinct. This study was aimed to examine the relationship between AIP and hyperuricemia among the middle-aged and the elderly Chinese population. Methods Datasets were retrieved from the China Health and Retirement Longitudinal Study (CHARLS) survey conducted in 2011 and 2015. 13,021 participants in the CHARLS in 2011 and 7,017 participants involved both in 2011 and 2015 were included, respectively. The measurement of AIP and hyperuricemia was based on the test of fasting blood. Association between AIP and hyperuricemia was assessed by logistic regression, and the nonlinear association was examined by restricted cubic splines (RCS). The cutoff point of AIP was calculated using receiver operator curve (ROC). 1 : 1 propensity score matching (PSM) was adopted to further explore the relationship between AIP and hyperuricemia. Results In the section of a cross-sectional study, a positive association between AIP and hyperuricemia was found. The odds ratios (ORs) of hyperuricemia were 1.00 (reference), 1.52 (1.10-2.10), 1.80 (1.31-2.47), and 3.81 (2.84-5.11). Nonlinear association was not detected using RCS analysis. There were 664 hyperuricemia cases during the four years follow-up. The hyperuricemia prevalence was 9.5%. In the fully adjusted longitudinal analysis, the ORs for hyperuricemia across the quartiles of AIP were 1.00 (reference), 1.00 (0.74-1.37), 1.59 (1.20-2.11), and 2.55 (1.94-3.35), respectively. In the longitudinal analysis after PSM, the OR of hyperuricemia were 1.91 (1.45, 2.51) and 1.92 (1.45, 2.54) in the univariate and multivariate model, respectively. Conclusion AIP can predict the prevalence of hyperuricemia in the Chinese middle-aged and elderly population.
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Affiliation(s)
- Feifei Xu
- Department of Intensive Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Critical Care Medicine, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China
| | - Chengyong Ma
- Department of Intensive Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Shouping Wang
- Department of Intensive Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qin Li
- Department of Intensive Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Zhongwei Zhang
- Department of Intensive Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Min He
- Department of Intensive Care Medicine, West China Hospital, Sichuan University, Chengdu, China
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Meena DS, Kumar D, Bohra GK. Acute severe gouty arthritis secondary to isotretinoin toxicity in a young male: a case report. Reumatismo 2023; 75. [PMID: 37721349 DOI: 10.4081/reumatismo.2023.1566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 08/03/2023] [Indexed: 09/19/2023] Open
Abstract
Acute gouty arthritis is a recognized complication of hyperuricemia and one of the most common forms of inflammatory arthritis in adults. Drug-induced hyperuricemia is increasingly prevalent in clinical practice. Diuretics, antitubercular medications, and immunosuppressants are the common drugs associated with hyperuricemia. Oral isotretinoin is the drug of choice for different forms of severe acne and is rarely associated with hyperuricemia. We present the case of a 30-year-old male with severe acne vulgaris who was prescribed isotretinoin and later presented with acute gout. The patient developed hyperuricemia and swelling of the right first metatarsophalangeal joint within two months of isotretinoin commencement. There was a second episode of similar joint swelling three months later, parallel to the isotretinoin rechallenge. The dose of isotretinoin was reduced with the addition of febuxostat. The patient did not develop further episodes and remained symptom-free without urate-lowering therapy.
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Affiliation(s)
- D S Meena
- Department of Internal Medicine, All India Institute of Medical Sciences, Jodhpur.
| | - D Kumar
- Department of Internal Medicine, All India Institute of Medical Sciences, Jodhpur.
| | - G K Bohra
- Department of Internal Medicine, All India Institute of Medical Sciences, Jodhpur.
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Du GL, Liu F, Liu H, Meng Q, Tang R, Li XM, Yang YN, Gao XM. Monocyte-to-High Density Lipoprotein Cholesterol Ratio Positively Predicts Coronary Artery Disease and Multi-Vessel Lesions in Acute Coronary Syndrome. Int J Gen Med 2023; 16:3857-3868. [PMID: 37662500 PMCID: PMC10473407 DOI: 10.2147/ijgm.s419579] [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: 05/02/2023] [Accepted: 08/23/2023] [Indexed: 09/05/2023] Open
Abstract
Purpose We investigated the hypothesis that MHR (monocyte-to-high density lipoprotein cholesterol ratio) is related to the severity of coronary artery in ACS (acute coronary syndrome). Methods In this case-control study, we recruited 15,853 participants undergoing the first time percutaneous coronary intervention (PCI) including 4093 normal controls, 10,518 chronic coronary artery disease (CAD), and 1242 ACS cases. Examination of demographic clinical data and biochemical profiles, as well as MHR values, were performed before PCI. The relationship between MHR and severity of coronary artery lesion in ACS was analyzed. We also used a flow cytometric assay to distinguish CD14+/CD16- classical monocyte subsets in peripheral blood mononucleated cells from CAD patients. Results MHR was higher in patients with ACS compared with MHR in normal control and chronic CAD (normal control vs chronic CAD vs ACS: 0.46 ± 0.27 × 109/mmol vs 0.53 ± 0.29 × 109/mmol vs 0.73 ± 0.47 × 109/mmol, P < 0.001). MHR showed a significantly progressive increase as the angiographic severity of coronary lesions increased (single vessel lesion vs multi-vessel lesions in ACS: 0.54 ± 0.31 × 109/mmol vs 0.58 ± 0.35 × 109/mmol, P < 0.001), and classical monocyte subset to HDL-C ratio (CMHR) was increased in with CAD patients compared with control [4.69 (IQR, 1.06, 2.97) × 103/mmol vs 1.92 (IQR, 0.92, 3.04) × 103/mmol, P = 0.02]. Using a multivariate analysis, after adjusting for age, gender, body mass index (BMI), diabetes, and dyslipidemia, MHR was positively associated with multi-vessel lesions in ACS [OR (odds ratio): 1.28 (95% CI: 1.03-1.59, P = 0.029)]. Conclusion MHR level could be a potential predictor of coronary artery lesion severity in ACS.
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Affiliation(s)
- Guo-Li Du
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Endocrinology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Fen Liu
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
- Xinjiang Key Laboratory of Medical Animal Model Research, Clinical Medical Research Institute of First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Hua Liu
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Endocrinology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Qi Meng
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Endocrinology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Ran Tang
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Endocrinology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Xiao-Mei Li
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Yi-Ning Yang
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People’s Republic of China
| | - Xiao-Ming Gao
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
- Xinjiang Key Laboratory of Medical Animal Model Research, Clinical Medical Research Institute of First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
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Zou X, Zhao Z, Huang W, Chen Y, Zhang W, Luo J, Zhao T, Wu L, Ma X, Guo X. High-density lipoprotein cholesterol modifies the association between blood lead and uric acid: results from NHANES 2005-2016. Int Arch Occup Environ Health 2022; 96:497-506. [PMID: 36550371 DOI: 10.1007/s00420-022-01944-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The association between blood lead (PbB) and uric acid (SUA) remains unclear in US adults without a high level of lead exposure. Additionally, the effects of high-density lipoprotein cholesterol (HDL-C) modifying this association are still unclear. Therefore, this study aims to assess the effect of modification of high-density lipoprotein cholesterol on the association between PbB and SUA. METHOD This research analyzed National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2016. Through several screenings, 18,578 participants over the age of 20 were eligible for the analysis. Multivariable linear regression was used to evaluate the association between PbB and SUA. By having stratified participants based on the HDL-C intake category (low HDL-C intake < 50 mg/dl; high HDL-C intake ≥ 50 mg/dl), effect modification by HDL-C was assessed through a likelihood ratio test between PbB and SUA. RESULT Multivariable linear regression indicated that PbB positively affects SUA (β = 0.19, 95% CI 0.16-0.22). The relationship between PbB and SUA was different in the low and high HDL-C intake group (β 0.12 95% Cl 0.08-0.16 vs. β 0.26 95% Cl 0.22 ~ - 0.30). Furthermore, high-density lipoprotein cholesterol significantly modified the relationship between PbB and SUA in all models which indicates that the interaction of lead exposure and HDL-C is more dangerous than the sum of the individual effects. CONCLUSIONS Our study shows that high-density lipoprotein cholesterol and blood lead have an interactive effect on increasing uric acid, which may have great importance for clinical medication.
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Affiliation(s)
- Xiaoting Zou
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Zifan Zhao
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Nanshan College, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China
| | - Weichao Huang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Yue Chen
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Wanlin Zhang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The First Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Jing Luo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Tianyi Zhao
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Luying Wu
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Xiaoman Ma
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Xuguang Guo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. .,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China. .,Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. .,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
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