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Correlation between serum non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol and microalbuminuria in patients with type 2 diabetes
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Wen-Jie Qian, Yue Chen, Yun-Ting Wang, Zi-Yu Ren, Xun Wu, Wei Ren*
Medical Journal of Chinese People’s Liberation Army | 2021, 46(2) : 169 - 174
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Medical Journal of Chinese People’s Liberation Army | 2021, 46(2): 169-174
Clinical Research
Correlation between serum non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol and microalbuminuria in patients with type 2 diabetes
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Wen-Jie Qian, Yue Chen, Yun-Ting Wang, Zi-Yu Ren, Xun Wu, Wei Ren*
Affiliations
  • Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
Published: 2021-02-28 doi: 10.11855/j.issn.0577-7402.2021.02.10
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Objective To investigate the correlation between the ratio of serum non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol (Non-HDL-C/HDL-C) and microalbuminuria in patients with type 2 diabetes mellitus(T2DM). Methods A total of 576 patients with T2DM hospitalized in the Endocrinology Department of the First Affiliated Hospital of Chongqing Medical University from 2017 to 2019 were included in present study (373 males and 203 females, aged 59±11.8 years). The clinical data of patients were collected including: age, height, weight, history of smoking, duration of diabetes, glycosylated hemoglobin (HbA1c), comorbidities, medication status, blood lipid level, etc. The values of non-high-density lipoprotein cholesterol (Non-HDL-C) and the ratio of Non-HDL-C and HDL-C (Non-HDL-C/HDL-C) were then calculated. Depending on whether they have microalbuminuria and diabetic retinopathy, patients were divided into groups for comparative statistical analysis, the binary logistic regression model was used to analyze the influencing factors of microalbuminuria and diabetic retinopathy. Finally, the receiver operating characteristic curve (ROC) was adopted to analyze the predictive value of Non-HDL-C/HDL-C for microalbuminuria. Results The age, course of disease, systolic blood pressure, diastolic blood pressure, creatinine, total cholesterol (TC), triglyceride (TG), Non-HDL-C, Non-HDL-C/HDL-C, hypertension and the use of angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB) hypotensive drugs were all higher, but the HDL-C was lower in microalbuminuria group than those in non-proteinuria group with statistically significant differences (P<0.05). The course of disease longer and the proportion of hypertension is higher in retinopathy group than those in non-nephropathy group, with statistically significant differences (P<0.05). The logistic regression analysis revealed that high systolic blood pressure, high creatinine level, and high Non-HDL-C/HDL-C ratio were the influencing factors for the occurrence of microalbuminuria (P<0.05). The area under the ROC curve (AUC) of combined systolic blood pressure, creatinine level and Non-HDL-C/HDL-C to predict microalbuminuria is 0.774. Conclusions A large Non-HDL-C/HDL-C ratio is a risk factor for occurrence of microalbuminuria in patients with T2DM. Combined detection of systolic blood pressure, creatinine level and Non-HDL-C/HDL-C has a high predictive value for microalbuminuria, so is worthy of clinical reference.

diabetes mellitus, type 2  /  high density lipoprotein cholesterol  /  diabetic nephropathy  /  diabetic retinopathy
Wen-Jie Qian, Yue Chen, Yun-Ting Wang, Zi-Yu Ren, Xun Wu, Wei Ren. Correlation between serum non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol and microalbuminuria in patients with type 2 diabetes[J]. Medical Journal of Chinese People’s Liberation Army, 2021 , 46 (2) : 169 -174 . DOI: 10.11855/j.issn.0577-7402.2021.02.10
Year 2021 volume 46 Issue 2
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doi: 10.11855/j.issn.0577-7402.2021.02.10
  • Receive Date:2020-09-27
  • Online Date:2025-12-26
  • Published:2021-02-28
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  • Received:2020-09-27
  • Revised:2020-12-23
Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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