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Ruan C, Li Y, Ran Z, Liu G, Li W, Zhang X, Shao S, Li Y. Association Between Monocyte-to-High-Density Lipoprotein Ratio and Prediabetes: A Cross-Sectional Study in Chinese Population. Diabetes Metab Syndr Obes 2024; 17:1093-1103. [PMID: 38450416 PMCID: PMC10916517 DOI: 10.2147/dmso.s451189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
Background The monocyte-to-high-density lipoprotein cholesterol (MHR) ratio has been linked to metabolic disorders. However, there is limited research on the predisposition to MHR and prediabetes. Hence, we conducted a study to investigate the relationship between MHR and the prevalence of prediabetes. Methods In total, 85,293 participants were included in our cross-sectional observational study. Multivariable regression analysis, subgroup analyses, and interaction testing were used to determine the relationship between MHR and prediabetes. To explore the non-linear association of MHR with prediabetes risk, generalized additive model (GAM) and smoothing splines were applied. The threshold effect analysis of MHR on the risk of prediabetes was further employed to identify the turning point. Results After controlling for covariates, the results indicated that a positive correlation persisted between MHR and prediabetes (odds ratio (OR) =1.64, 95% confidence interval (CI), 1.48-1.82), and subgroup analyses found a more robust correlation between MHR and prediabetes in individuals with lower age, SBP, DBP, TG, TC and higher values of BMI and LDL-C than in their counterparts. Additionally, the correlation between MHR and the risk of prediabetes was found to be non-linear, with a turning point of -0.4 (Log-Likelihood Ratio, P< 0.001). The impact of variables on the two sides of the turning point were 1.94 (1.72, 2.19) and 0.88 (0.69, 1.14). Conclusion The positive correlation between MHR and the risk of prediabetes in Chinese participants was observed to be non-linear, and MHR ≤ -0.4 was strongly positively correlated with prediabetes risk.
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Affiliation(s)
- Cairong Ruan
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Yuchen Li
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Zijing Ran
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Guodong Liu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Weihao Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Xinyu Zhang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Shanshan Shao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Yuan Li
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
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Liu C, Ma L. Comparison efficacy and safety of different antiplatelet or anticoagulation drugs in chronic coronary syndromes patients: A Bayesian network meta-analysis. Medicine (Baltimore) 2023; 102:e36429. [PMID: 38050293 PMCID: PMC10695535 DOI: 10.1097/md.0000000000036429] [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: 09/10/2023] [Accepted: 11/10/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND A systematic review and network meta-analysis (NMA) were conducted to explore the efficacy and safety of different antiplatelet or anticoagulation drugs in chronic coronary syndromes patients. METHODS Electronic databases (Pubmed, Embase and Cochrane databases) were systematically searched to identify randomized controlled trials evaluating different antiplatelet or anticoagulation drugs (aspirin, aspirin + clopidogrel, aspirin + clopidogrel + cilostazol, clopidogrel/prasugrel + aspirin, aspirin + rivaoxaban 2.5 mg, aspirin + ticagrelor 60 mg, aspirin + ticagrelor 90 mg, clopidogrel or rivroxaban 5 mg) versus placebo for treatment chronic coronary syndromes patients. Outcomes included major adverse cardiovascular events, all cause death, major bleeding and myocardial infarction. A random-effect Bayesian NMA was conducted for outcomes of interest, and results were presented as odds ratios (ORs) and 95% credible intervals. The NMA was performed using R Software with a GeMTC package. A Bayesian NMA was performed and relative ranking of agents was assessed using surface under the cumulative ranking probabilities. RESULTS Ten randomized controlled trials met criteria for inclusion and finally included in this NMA. In head-to-head comparison, no significant difference was observed between all antithrombotic treatment strategies with respect to primary endpoint of major adverse cardiovascular events. In head-to-head comparison, no significant difference was observed between all antithrombotic treatment strategies with respect to all cause death. Clopidogrel/prasugrel + aspirin (OR = 3.8, 95% credible intervals [CrI]: 1.3-12.0, P < .05) and aspirin + rivaroxaban 2.5 mg (OR = 3.1, 95%CrI: 1.1-9.5, P < .05) was associated with an increase of the major bleeding. Compared with aspirin alone, aspirin + clopidogrel (OR = 0.42, 95%CrI: 0.22-0.76, P < .05) and aspirin + ticagrelor 90 mg (OR = 0.42, 95%CrI: 0.17-0.95, P < .05) was associated with a decrease of the myocardial infarction. CONCLUSIONS Myocardial infarction was significantly lower when adding clopidogrel or ticagrelor 90 mg to aspirin than those in the aspirin alone group. However, clopidogrel/prasugrel and rivaroxaban 2.5 mg was associated with an increase of the major bleeding than aspirin alone.
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Affiliation(s)
- Chang Liu
- Department of Cardiology, Chongqing Traditional Medicine Hospital, Chongqing 400021, China
| | - Lei Ma
- Department of Internal Medicine, Chongqing Fire and Rescue Hospital, Chongqing, China
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