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Qin L, Wu X, Tan C, Zhang Z, Li Y, Zhu X, Qin S, Tan S. Non-linear association and benchmark dose of blood pressure on carotid artery intima-media thickening in a general population of southern China. Front Cardiovasc Med 2024; 11:1325947. [PMID: 38803665 PMCID: PMC11128656 DOI: 10.3389/fcvm.2024.1325947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 04/24/2024] [Indexed: 05/29/2024] Open
Abstract
Background and aims This study aimed to evaluate whether there is a J-curve association between blood pressure (BP) and carotid artery intima-media thickening (CAIT) and estimate the effect of the turning point of BP on CAIT. Methods and results Data from 111,494 regular physical examinations conducted on workers and retirees (aged 18 years or older) between January 2011 and December 2016, exported from the hospital information system, were analyzed. Restricted cubic splines (RCS) logistic regression was employed to access the association of BP with CAIT, and Bayesian benchmark dose methods were used to estimate the benchmark dose as the departure point of BP measurements. All the pnon-linear values of BP measurements were less than 0.05 in the RCS logistic regression models. Both systolic blood pressure (SBP) and diastolic blood pressure (DBP) had J-curve associations with the risk of CAIT at a turning point around 120/70 mmHg in the RCS. The benchmark dose for a 1% change in CAIT risk was estimated to be 120.64 mmHg for SBP and 72.46 mmHg for DBP. Conclusion The J-curve associations between SBP and DBP and the risk of CAIT were observed in the general population in southern China, and the turning point of blood pressure for significantly reducing the risk of CAIT was estimated to be 120.64/72.46 mmHg for SBP/DBP.
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Affiliation(s)
- Linyuan Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Xiaoyan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Chao Tan
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Zhengbao Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - You Li
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Xiaonian Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Shenghua Qin
- Physical Examination Center, Guilin People's Hospital, Guilin, Guangxi, China
| | - Shengkui Tan
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
- Party Committee Office, Youjiang Medical University for Nationalities, Baise, Guangxi, China
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Pan G, Liu Y, Yu L, Yang R, Yang T, Wang Y, Su J, Li Z, Cheng Q, Gao S, Li L, Yu C. Relationship Between Serum Uric Acid and Carotid Plaque in Patients With Coronary Artery Disease by Sex and Blood Pressure Status. Angiology 2024; 75:274-280. [PMID: 36617727 DOI: 10.1177/00033197221150614] [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] [Indexed: 01/10/2023]
Abstract
The purpose of this study was to explore the sex difference and effects of blood pressure (BP) on the relationship between serum uric acid (SUA) and carotid plaque in patients with coronary heart disease (CHD). This large multicenter retrospective study included 12099 patients with CHD (aged 35-75 years) between January 1, 2014 and September 30, 2020. Patients were divided into three groups according to systolic BP (SBP) and diastolic BP (DBP), and the SUA levels in males and females were converted into three groups. Logistic regression was used to analyze the influence of sex and BP on the relationship between SUA levels and carotid plaque in patients with CHD. In the model of male BP subgroups, using the BP of group A (normal with SBP <120 mmHg and DBP <80 mmHg) as a reference, SUA levels were significantly correlated with the occurrence of carotid plaque under different BP states (P < .001). In contrast, in the model of female BP subgroups, most of these correlations were not statistically significant. Our study showed that SUA levels were significantly associated with carotid plaque occurrence in males with CHD, which remained significant across different BP states.
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Affiliation(s)
- Guangwei Pan
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yijia Liu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lu Yu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Rongrong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yang Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jinyu Su
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhu Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qi Cheng
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Sheng Gao
- Nankai Hospital of Tianjin, Tianjin, China
| | - Lin Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Chunquan Yu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Şaylık F, Çınar T, Selçuk M, Tanboğa İH. The Relationship between Uric Acid/Albumin Ratio and Carotid Intima-Media Thickness in Patients with Hypertension. Arq Bras Cardiol 2023; 120:e20220819. [PMID: 37098960 PMCID: PMC10124582 DOI: 10.36660/abc.20220819] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 02/15/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND Hypertension causes subendothelial inflammation and dysfunction in resulting atherosclerosis. Carotid intima-media thickness (CIMT) is a useful marker of endothelial dysfunction and atherosclerosis. The uric acid to albumin ratio (UAR) has emerged as a novel marker for predicting cardiovascular events. OBJECTIVE We aimed to investigate the association of UAR with CIMT in hypertensive patients. METHODS Two hundred sixteen consecutive hypertensive patients were enrolled in this prospective study. All patients underwent carotid ultrasonography to classify low (CIMT < 0.9 mm) and high (CIMT ≥ 0.9 mm) CIMT groups. The predictive ability of UAR for high CIMT was compared with systemic immune inflammation index (SII), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and C-reactive protein/albumin ratio (CAR). A two-sided p-value <0.05 was accepted as statistically significant. RESULTS Patients with high CIMT were older and had higher UAR, SII, NLR, and CAR than low CIMT. Age, UAR, SII, NLR, and CAR, but not PLR, were associated with high CIMT. In multivariable analysis, age, CRP, SII, and UAR were independent predictors of high CIMT. The discrimination ability of UAR was higher than uric acid, albumin, SII, NLR, and CAR, and UAR had a higher model fit than those variables. UAR had higher additive improvement in detecting high CIMT than other variables, as assessed with net-reclassification improvement, IDI, and C-statistics. UAR was also significantly correlated with CIMT. CONCLUSION UAR might be used to predict high CIMT and might be useful for risk stratification in hypertensive patients.
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Affiliation(s)
- Faysal Şaylık
- Departamento de Cardiologia, Universidade de Ciências da Saúde, Van Training and Education Hospital, Van - Turquia
| | - Tufan Çınar
- Departamento de Cardiologia, Universidade de Ciências da Saúde, Sultan II. Abdulhamid Han Training and Research Hospital, Istanbul - Turquia
| | - Murat Selçuk
- Departamento de Cardiologia, Universidade de Ciências da Saúde, Sultan II. Abdulhamid Han Training and Research Hospital, Istanbul - Turquia
| | - İbrahim Halil Tanboğa
- Departamento de Cardiologia e Bioestatística, Istanbul Nisantasi University, Istanbul - Turquia
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