ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022
Predictive Value of Plasma Atherogenic Index for Microalbuminuria in Newly Diagnosed Patients with Type 2 Diabetes Mellitus.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Association of atherogenic index of plasma with urine albumin-to-creatinine ratio in Chinese urban adults: a cross-sectional study.Renal failure · 2026Article
- Association of Selected Anthropometric Indices With Diabetic Kidney Disease Among Iranian Adults With Diabetes.Endocrinology, diabetes & metabolism · 2026Article
- Endocan level and its association with glycemic and inflammatory indices in diabetic nephropathy.BMC endocrine disorders · 2026Article
- Correlation between TyG index, TyG-BMI index and AIP index and early-onset type 2 diabetic nephropathy.Frontiers in endocrinology · 2026Article
- Linear association between atherogenic index of plasma and diabetic kidney disease: evidence from a large clinical cohort and NHANES.Frontiers in nutrition · 2026Article
- Atherogenic Index of Plasma is Independently Associated With Microalbuminuria in Type 2 Diabetes: A Retrospective Cross-Sectional Study.Journal of diabetes research · 2026Article
- Association of atherogenic index of plasma with kidney dysfunction in diabetic individuals: findings from two national population-based studies.BMC endocrine disorders · 2025Article
- Can lipid indices aid in predicting diabetic kidney disease? Findings from a cross-sectional, matched case-control study.PloS one · 2025Article
- Novel Lipid Biomarkers and Microvascular Complications in Patients with Diabetes Mellitus: A Systematic Review and Meta-analysis.Clinical medicine insights. Endocrinology and diabetes · 2025Article
- Correlation of Anthropometry With Plasma Atherogenicity Indices in Subjects With Type 2 Diabetes Mellitus.Cureus · 2024Article
- Associations between cardiometabolic indices and the risk of diabetic kidney disease in patients with type 2 diabetes.Cardiovascular diabetology · 2024Article
- Impact of baseline and trajectory of the atherogenic index of plasma on incident diabetic kidney disease and retinopathy in participants with type 2 diabetes: a longitudinal cohort study.Lipids in health and disease · 2024Article
- Non-linear associations of atherogenic index of plasma with prediabetes and type 2 diabetes mellitus among Chinese adults aged 45 years and above: a cross-sectional study from CHARLS.Frontiers in endocrinology · 2024Article
- Association Between Vitamin D Levels and the Atherogenic Index of Plasma Among Chinese with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
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6 authors.
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Abstract
Purpose: This study aims to explore the predictive value of plasma atherogenic index of plasma (AIP) for microalbuminuria (MAU) in newly diagnosed patients with type 2 diabetes mellitus (T2DM). Methods: This study was a retrospective study, which included 335 newly diagnosed T2DM patients. They were divided into microalbuminuria group (group A, n = 105 cases) and no microalbuminuria group (group B, n = 230 cases) according to whether microalbuminuria occurred. General information and laboratory examination indexes of patients were collected, and AIP was calculated. Multivariate logistic regression analysis was used to analyze the independent risk factors of microalbuminuria in T2DM patients, and receiver operating characteristic curve (ROC) was established to evaluate the predictive value of AIP on MAU of newly diagnosed T2DM patients. Results: According to general data analysis, AIP level in group A was significantly higher than that in group B (P < 0.05). Multivariate logistic regression analysis showed that AIP was an independent risk factor for microalbuminuria (P < 0.05). The receiver operating characteristic curve showed that the area under the curve (AUC) of AIP was 0.772 (P < 0.05), which had a good predictive value for the occurrence of MAU in newly diagnosed T2DM patients. The waist-hip ratio, triglyceride, high-density lipoprotein cholesterol, fasting blood glucose, glycosylated hemoglobin and AIP were used to make a joint model, and the AUC was 0.841 (P < 0.05), which had a better predictive value for the occurrence of MAU. Conclusions: AIP is an independent risk factor and could predict the occurrence of MAU in newly diagnosed T2DM patients. AIP provides clinicians a reliable basis to quickly identify high-risk patients and formulate appropriate treatment strategies.
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