临床荟萃 ›› 2023, Vol. 38 ›› Issue (10): 887-892.doi: 10.3969/j.issn.1004-583X.2023.10.004
收稿日期:
2023-04-27
出版日期:
2023-10-20
发布日期:
2024-01-03
通讯作者:
徐阳
E-mail:1966961034@qq.com
Received:
2023-04-27
Online:
2023-10-20
Published:
2024-01-03
Contact:
Xu Yang
E-mail:1966961034@qq.com
摘要: 目的 研究H型高血压合并2型糖尿病(T2DM)患者认知功能障碍的影响因素。方法 选取2021年9月至2022年9月于鞍山市中心医院就诊H型高血压合并T2DM患者163例。行蒙特利尔认知评估量表(MoCA)及简单精神状态量表(MMSE)评分,MoCA<26分为轻度认知障碍组(MCI组),≥26分为认知功能正常组(NMCI组)。收集两组年龄、性别、吸烟史、饮酒史、受教育年限、体重指数(BMI)、高血压及糖尿病病程、其他疾病病史(冠心病史、血脂异常史),测量收缩压(SBP)、舒张压(DBP);空腹检测白细胞(WBC)、红细胞(RBC)、血红蛋白(Hb)、血小板(PLT)、血清同型半胱氨酸(Hcy)、总胆固醇(TC)、甘油三脂(TG)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、载脂蛋白A1(ApoA-1)、载脂蛋白B(ApoB)、脂蛋白a(LPa)、糖化血红蛋白(HbA1c)、空腹血糖(FPG)、肌酐(Scr)、尿酸(SUA)、尿微量白蛋白(ALB);行颈动脉彩超测定颈动脉内膜中层厚度(CIMT)及斑块形成情况;采用二元Logistic回归分析发生MCI的影响因素,受试者工作特征曲线(ROC)预测其影响因素的价值。结果 MCI组年龄、吸烟、病程、SBP、FPG、HbA1c、HDL-C、LDL-C、ApoA-1、SUA、Hcy、CIMT及斑块检出率均高于NMCI组(P<0.05),受教育程度低于NMCI组(P<0.05)。Logistic回归分析结果显示,年龄、HDL-C、Hcy、CIMT为MCI发生的独立危险因素;ROC曲线结果显示,年龄、HDL-C、Hcy、CIMT预测MCI发生的曲线下面积(AUC)为0.975、0.637、0.647及0.842。结论 高龄、低HDL-C、高Hcy、CIMT增厚为H型高血压合并T2DM患者发生MCI的独立危险因素,监测血脂及Hcy有利于预防MCI发生。
中图分类号:
徐阳, 薛凌. H型高血压合并2型糖尿病患者轻度认知功能障碍的影响因素[J]. 临床荟萃, 2023, 38(10): 887-892.
Xu Yang, Xue Ling. Influencing factors for mild cognitive impairment in type H hypertension patients combined with type 2 diabetes mellitus[J]. Clinical Focus, 2023, 38(10): 887-892.
组别 | 例数(男/女) | 年龄(岁) | 受教育程度(年) | 吸烟史 | 饮酒史 | 高血压病史(年) |
---|---|---|---|---|---|---|
MCI组 | 101(60/41) | 74.880±7.658 | 8.140±2.054 | 51(50.2) | 47(46.5) | 11.510±6.437 |
NMCI组 | 62(46/16) | 59.100±9.769 | 11.970±2.673 | 20(32.3) | 32(51.6) | 7.080±3.923 |
3.645 | 11.483 | -10.281 | 5.197 | 0.397 | 5.465 | |
0.055 | <0.001 | <0.001 | 0.023 | 0.529 | <0.001 | |
组别 | 糖尿病病史(年) | 冠心病病史 | 高脂血症史 | BMI(kg/m2) | SBP(mmHg) | DBP(mmHg) |
MCI组 | 10.900±6.900 | 34(33.7) | 31(30.7) | 24.670±3.175 | 149.190±12.335 | 85.800±13.369 |
NMCI组 | 5.630±3.838 | 20(32.3) | 15(24.2) | 25.150±3.578 | 145.320±15.982 | 83.980±12.570 |
5.511 | 0.034 | 0.801 | -0.908 | -2.457 | 1.732 | |
<0.001 | 0.853 | 0.371 | 0.365 | 0.015 | 0.085 |
表1 两组一般资料比较[$\bar{x}$±s, n(%)]
Tab. 1 Comparison of general information between groups ($\bar{x}$±s, n[%])
组别 | 例数(男/女) | 年龄(岁) | 受教育程度(年) | 吸烟史 | 饮酒史 | 高血压病史(年) |
---|---|---|---|---|---|---|
MCI组 | 101(60/41) | 74.880±7.658 | 8.140±2.054 | 51(50.2) | 47(46.5) | 11.510±6.437 |
NMCI组 | 62(46/16) | 59.100±9.769 | 11.970±2.673 | 20(32.3) | 32(51.6) | 7.080±3.923 |
3.645 | 11.483 | -10.281 | 5.197 | 0.397 | 5.465 | |
0.055 | <0.001 | <0.001 | 0.023 | 0.529 | <0.001 | |
组别 | 糖尿病病史(年) | 冠心病病史 | 高脂血症史 | BMI(kg/m2) | SBP(mmHg) | DBP(mmHg) |
MCI组 | 10.900±6.900 | 34(33.7) | 31(30.7) | 24.670±3.175 | 149.190±12.335 | 85.800±13.369 |
NMCI组 | 5.630±3.838 | 20(32.3) | 15(24.2) | 25.150±3.578 | 145.320±15.982 | 83.980±12.570 |
5.511 | 0.034 | 0.801 | -0.908 | -2.457 | 1.732 | |
<0.001 | 0.853 | 0.371 | 0.365 | 0.015 | 0.085 |
组别 | 例数 | WBC (109/L) | RBC (1012/L) | HGB (g/L) | PLT (109/L) | FBG (mmol/L) | HbA1c (%) | TC (mmol/L) | TG (mmol/L) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MCI组 | 101 | 6.360±1.240 | 4.540±0.520 | 144.530±25.454 | 213.100±49.814 | 7.720±1.972 | 6.800±0.830 | 5.200±1.620 | 2.250±1.550 | |||||||
NMCI组 | 62 | 6.790±1.650 | 4.690±0.570 | 148.350±16.268 | 221.600±39.979 | 7.200±2.052 | 7.370±1.420 | 5.000±1.710 | 2.740±1.860 | |||||||
-1.888 | -1.771 | -1.056 | -1.198 | 0.397 | -2.865 | 0.785 | -1.823 | |||||||||
0.061 | 0.078 | 0.293 | 0.233 | 0.038 | 0.005 | 0.434 | 0.070 | |||||||||
组别 | HDL-C (mmol/L) | LDL-C (mmol/L) | ApoA-1 (g/L) | ApoB (g/L) | LPa (mg/L) | Scr (μmol/L) | SUA (mmol/L) | Hcy (μmol/L) | ALB (mg/L) | |||||||
MCI组 | 1.000±0.310 | 3.360±0.990 | 1.130±0.280 | 1.000±0.340 | 216.140±145.210 | 72.740±10.060 | 306.510±93.440 | 23.340±6.520 | 61.820±56.110 | |||||||
NMCI组 | 1.200±0.370 | 3.200±1.170 | 1.220±0.300 | 1.050±0.250 | 202.700±139.260 | 71.870±14.880 | 358.490±90.420 | 20.740±5.660 | 50.370±56.400 | |||||||
-3.743 | -2.241 | -1.989 | -1.249 | 0.583 | 0.306 | -3.420 | 2.598 | 0.469 | ||||||||
<0.001 | 0.025 | 0.048 | 0.214 | 0.561 | 0.760 | 0.001 | 0.010 | 0.640 |
表2 两组实验室指标比较($\bar{x}$±s)
Tab. 2 Comparison of laboratory indexes between groups ($\bar{x}$±s)
组别 | 例数 | WBC (109/L) | RBC (1012/L) | HGB (g/L) | PLT (109/L) | FBG (mmol/L) | HbA1c (%) | TC (mmol/L) | TG (mmol/L) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MCI组 | 101 | 6.360±1.240 | 4.540±0.520 | 144.530±25.454 | 213.100±49.814 | 7.720±1.972 | 6.800±0.830 | 5.200±1.620 | 2.250±1.550 | |||||||
NMCI组 | 62 | 6.790±1.650 | 4.690±0.570 | 148.350±16.268 | 221.600±39.979 | 7.200±2.052 | 7.370±1.420 | 5.000±1.710 | 2.740±1.860 | |||||||
-1.888 | -1.771 | -1.056 | -1.198 | 0.397 | -2.865 | 0.785 | -1.823 | |||||||||
0.061 | 0.078 | 0.293 | 0.233 | 0.038 | 0.005 | 0.434 | 0.070 | |||||||||
组别 | HDL-C (mmol/L) | LDL-C (mmol/L) | ApoA-1 (g/L) | ApoB (g/L) | LPa (mg/L) | Scr (μmol/L) | SUA (mmol/L) | Hcy (μmol/L) | ALB (mg/L) | |||||||
MCI组 | 1.000±0.310 | 3.360±0.990 | 1.130±0.280 | 1.000±0.340 | 216.140±145.210 | 72.740±10.060 | 306.510±93.440 | 23.340±6.520 | 61.820±56.110 | |||||||
NMCI组 | 1.200±0.370 | 3.200±1.170 | 1.220±0.300 | 1.050±0.250 | 202.700±139.260 | 71.870±14.880 | 358.490±90.420 | 20.740±5.660 | 50.370±56.400 | |||||||
-3.743 | -2.241 | -1.989 | -1.249 | 0.583 | 0.306 | -3.420 | 2.598 | 0.469 | ||||||||
<0.001 | 0.025 | 0.048 | 0.214 | 0.561 | 0.760 | 0.001 | 0.010 | 0.640 |
组别 | 例数 | CIMT(mm) | 颈动脉斑块检出率 |
---|---|---|---|
MCI组 | 101 | 2.06±0.77 | 66(60.0) |
NMCI组 | 62 | 1.32±0.31 | 29(46.0) |
7.318 | 5.450 | ||
<0.001 | 0.020 |
表3 两组颈动脉超声结果比较[$\bar{x}$±s,n(%)]
Tab. 3 Comparison of carotid artery ultrasound results between groups ($\bar{x}$±s, n[%])
组别 | 例数 | CIMT(mm) | 颈动脉斑块检出率 |
---|---|---|---|
MCI组 | 101 | 2.06±0.77 | 66(60.0) |
NMCI组 | 62 | 1.32±0.31 | 29(46.0) |
7.318 | 5.450 | ||
<0.001 | 0.020 |
组别 | 例数 | MMSE | MOCA | 视空间与 执行能力 | 命名 | 注意力 | 语言 | 抽象 | 延迟记忆 | 定向力 |
---|---|---|---|---|---|---|---|---|---|---|
MCI组 | 101 | 23.140±1.710 | 20.580±2.132 | 2.640±0.810 | 2.750±0.430 | 2.610±0.790 | 2.770±0.420 | 1.950±0.220 | 2.380±0.750 | 5.480±0.540 |
NMCI组 | 62 | 27.600±0.640 | 26.160±0.410 | 3.940±0.770 | 2.870±0.340 | 4.790±0.520 | 2.890±0.320 | 1.960±0.210 | 4.100±0.590 | 5.630±0.490 |
-23.660 | -25.523 | -10.114 | -1.947 | -21.305 | -1.969 | -0.032 | -16.273 | -1.877 | ||
<0.01 | <0.01 | -10.114 | 0.053 | <0.01 | 0.051 | 0.975 | <0.01 | 0.063 |
表4 MCI组与NMCI组认知功能评分的比较($\bar{x}$±s,分)
Tab. 4 Comparison of cognitive function scores between MCI group and NMCI group ($\bar{x}$±s, Score)
组别 | 例数 | MMSE | MOCA | 视空间与 执行能力 | 命名 | 注意力 | 语言 | 抽象 | 延迟记忆 | 定向力 |
---|---|---|---|---|---|---|---|---|---|---|
MCI组 | 101 | 23.140±1.710 | 20.580±2.132 | 2.640±0.810 | 2.750±0.430 | 2.610±0.790 | 2.770±0.420 | 1.950±0.220 | 2.380±0.750 | 5.480±0.540 |
NMCI组 | 62 | 27.600±0.640 | 26.160±0.410 | 3.940±0.770 | 2.870±0.340 | 4.790±0.520 | 2.890±0.320 | 1.960±0.210 | 4.100±0.590 | 5.630±0.490 |
-23.660 | -25.523 | -10.114 | -1.947 | -21.305 | -1.969 | -0.032 | -16.273 | -1.877 | ||
<0.01 | <0.01 | -10.114 | 0.053 | <0.01 | 0.051 | 0.975 | <0.01 | 0.063 |
变量 | 回归系数 | 标准误 | Wald χ2值 | 95% | ||
---|---|---|---|---|---|---|
年龄 | -1.821 | 0.631 | 8.335 | 0.004 | 0.162 | 0.047~0.557 |
受教育程度 | -2.966 | 1.578 | 3.532 | 0.060 | 0.052 | 0.002~1.136 |
高血压病程 | 0.081 | 0.155 | 0.271 | 0.603 | 1.084 | 0.799~1.471 |
T2DM病程 | 0.002 | 0.168 | 0.001 | 0.990 | 1.002 | 0.721~1.392 |
吸烟史 | 0.908 | 1.060 | 0.734 | 0.392 | 2.478 | 0.311~4.950 |
HbA1c | 0.577 | 0.618 | 0.873 | 0.350 | 1.781 | 0.531~5.974 |
HDL-C | 1.333 | 0.622 | 4.583 | 0.032 | 3.791 | 1.119~12.841 |
ApoA-1 | 0.660 | 0.680 | 0.941 | 0.322 | 1.934 | 0.510~7.332 |
SUA | 0.010 | 0.007 | 2.300 | 0.129 | 1.010 | 0.997~1.024 |
Hcy | -0.075 | 0.031 | 6.214 | 0.013 | 0.928 | 0.875~0.984 |
CIMT | -3.047 | 0.686 | 25.329 | <0.01 | 0.032 | 0.008~0.121 |
表5 Logistic回归分析 H型高血压合并T2DM发生MCI的危险因素
Tab. 5 Logistic regression analysis of risk factors for MCI in type H hypertension patients combined with T2DM
变量 | 回归系数 | 标准误 | Wald χ2值 | 95% | ||
---|---|---|---|---|---|---|
年龄 | -1.821 | 0.631 | 8.335 | 0.004 | 0.162 | 0.047~0.557 |
受教育程度 | -2.966 | 1.578 | 3.532 | 0.060 | 0.052 | 0.002~1.136 |
高血压病程 | 0.081 | 0.155 | 0.271 | 0.603 | 1.084 | 0.799~1.471 |
T2DM病程 | 0.002 | 0.168 | 0.001 | 0.990 | 1.002 | 0.721~1.392 |
吸烟史 | 0.908 | 1.060 | 0.734 | 0.392 | 2.478 | 0.311~4.950 |
HbA1c | 0.577 | 0.618 | 0.873 | 0.350 | 1.781 | 0.531~5.974 |
HDL-C | 1.333 | 0.622 | 4.583 | 0.032 | 3.791 | 1.119~12.841 |
ApoA-1 | 0.660 | 0.680 | 0.941 | 0.322 | 1.934 | 0.510~7.332 |
SUA | 0.010 | 0.007 | 2.300 | 0.129 | 1.010 | 0.997~1.024 |
Hcy | -0.075 | 0.031 | 6.214 | 0.013 | 0.928 | 0.875~0.984 |
CIMT | -3.047 | 0.686 | 25.329 | <0.01 | 0.032 | 0.008~0.121 |
变量 | AUC | 敏感度 | 特异度 | 约登指数 | 最佳阈值 | 95% | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
年龄 | 0.975 | 0.901 | 0.903 | 0.804 | 66.500 | 0.957~0.993 | |||||||
HDL-C | 0.637 | 0.931 | 0.355 | 0.286 | 0.745 | 0.546~0.728 | |||||||
Hcy | 0.647 | 0.733 | 0.532 | 0.265 | 18.550 | 0.557~0.736 | |||||||
CIMT | 0.842 | 0.644 | 0.903 | 0.547 | 1.625 | 0.701~0.902 |
表6 年龄、HDL-C、Hcy、CIMT的AUC及95% CI
Tab. 6 AUC and 95% CI of age, HDL-C, Hcy, and CIMT
变量 | AUC | 敏感度 | 特异度 | 约登指数 | 最佳阈值 | 95% | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
年龄 | 0.975 | 0.901 | 0.903 | 0.804 | 66.500 | 0.957~0.993 | |||||||
HDL-C | 0.637 | 0.931 | 0.355 | 0.286 | 0.745 | 0.546~0.728 | |||||||
Hcy | 0.647 | 0.733 | 0.532 | 0.265 | 18.550 | 0.557~0.736 | |||||||
CIMT | 0.842 | 0.644 | 0.903 | 0.547 | 1.625 | 0.701~0.902 |
[1] |
Jia L, Du Y, Chu L, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: A cross-sectional study[J]. The Lancet Public health, 2020, 5(12): e661-e671.
doi: 10.1016/S2468-2667(20)30185-7 URL |
[2] |
Ye Z, Wang C, Zhang Q, et al. Prevalence of homocysteine-related hypertension in patients with chronic kidney disease[J]. J Clin Hypertens (Greenwich), 2017, 19(2): 151-160.
doi: 10.1111/jch.12881 pmid: 27440006 |
[3] |
Zheng Y, Ley SH, Hu HB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications[J]. Nat Rev Endocrinol, 2018, 14(2): 88-98.
doi: 10.1038/nrendo.2017.151 pmid: 29219149 |
[4] | Antal B, McMahon LP, Sultan SF, et al. Type 2 diabetes mellitus accelerates brain aging and cognitive decline: complementary findings from UK biobank and meta-analyses[J]. ELife, 2022, 5(11):e73138. |
[5] |
Wang X, Qiao T, Liu M, et al. Homocysteine associated with low cognitive function independent of asymptomatic intracranial and carotid arteries stenoses in Chinese elderly patients: An outpatient-based cross-sectional study[J]. J Geriatr Psychiatry Neurol, 2022, 35(3): 302-308.
doi: 10.1177/0891988720988914 URL |
[6] |
Chang WW, Fei SZ, Pan N, et al. Incident Stroke and its influencing factors in patients with type 2 diabetes mellitus and/or hypertension: A prospective cohort study[J]. Front Cardiovasc Med, 2022, 9(9): 770025.
doi: 10.3389/fcvm.2022.770025 URL |
[7] |
Byeon G, Byun MS, Yi D, et al. Synergistic effect of serum homocysteine and diabetes mellitus on brain alterations[J]. J Alzheimers Dis, 2021, 81(1): 287-295.
doi: 10.3233/JAD-210036 URL |
[8] | Unger T, Borghi C, Charchar F, et al. 2020 International society of hypertension global hypertension practice guidelines[J]. Hypertension (Dallas, Tex: 1979), 2020, 75(6): 1334-1357. |
[9] |
Zeña-Huancas PA, Iparraguirre-López H, Gamboa-Cárdenas RV, et al. Homocysteine levels are independently associated with damage accrual in systemic lupus erythematosus patients from a Latin-American cohort[J]. Clin Rheumatol, 2019, 38(4): 1139-1146.
doi: 10.1007/s10067-018-4389-3 pmid: 30539353 |
[10] | 中国2型糖尿病防治指南(2020年版)(上)[J]. 中国实用内科杂志, 2021, 41(8): 668-695. |
[11] | 郭琼, 张建起, 石蕊. 高血压合并糖尿病与老年人认知功能的关系[J]. 中华老年多器官疾病杂志, 2017, 16(1): 38-42. |
[12] | Wang YY, Zhang M, Wang XX, et al. Correlates of cognitive impairment in the elderly in China: A cross-sectional study[J]. Front Public Health, 2022, 20(10): 973661. |
[13] | Li W, Sun L, Li G, et al. Prevalence, influence factors and cognitive characteristics of mild cognitive impairment in type 2 diabetes mellitus[J]. Front Aging Neurosci, 2019, 30(11): 180. |
[14] | 李晗, 赵晨, 林中樵, 等. 老年原发性高血压病人认知功能障碍的临床特点及其危险因素分析[J]. 中西医结合心脑血管病杂志, 2022, 20(3): 565-569. |
[15] | Fu J, Liu Q, Du Y, et al. Age-and sex-specific prevalence and modifiable risk factors of mild cognitive impairment among older adults in China: A population-based observational study[J]. Front Aging Neurosci, 2020, 30(12): 578742. |
[16] | Anusheel? Avula SN, Joseph KN, et al. the role of high-density lipoprotein in lowering risk of dementia in the elderly: A review[J]. Cureus, 2022, 14(4): e24374. |
[17] |
Lee J, Lee S, Min JY, et al. Association between serum lipid parameters and cognitive performance in older adults[J]. J Clin Med, 2021, 10(22):5405.
doi: 10.3390/jcm10225405 URL |
[18] |
Wang Y, Liu J, Jiang Y, et al. Hyperhomocysteinemia is associated with decreased apolipoprotein AI levels in normal healthy people[J]. BMC Cardiovasc Disord, 2016, 13(16): 10.
doi: 10.1186/1471-2261-13-10 URL |
[19] |
Washida K, Hattori Y, Ihara M. Animal models of chronic cerebral hypoperfusion: From mouse to primate[J]. Int J Mol Sci, 2019, 20(24):6176.
doi: 10.3390/ijms20246176 URL |
[20] | Chen WH, Jin W, Lyu PY, et al. Carotid atherosclerosis and cognitive impairment in nonstroke patients[J]. Chin Med J, 2017, 130(19): 2375-2379. |
[21] |
Zhou H, Zhong X, Chen B, et al. Interactive effects of elevated homocysteine and late-life depression on cognitive impairment[J]. J Affect Disord, 2020, 277: 212-217.
doi: 10.1016/j.jad.2020.08.022 URL |
[22] |
Biessels GJ, Despa F. Cognitive decline and dementia in diabetes mellitus: mechanisms and clinical implications[J]. Nat Rev Endocrinol, 2018, 14(10): 591-604.
doi: 10.1038/s41574-018-0048-7 pmid: 30022099 |
[23] | Wan C, Zong RY, Chen XS. The new mechanism of cognitive decline induced by hypertension: High homocysteine-mediated aberrant DNA methylation[J]. Front Cardiovasc Med, 2022, 24(9): 928701. |
[24] |
Platt DE, Hariri E, Salameh P, et al. Type II diabetes mellitus and hyperhomocysteinemia: A complex interaction[J]. Diabetol Metab Syndr, 2017, 9(21):19.
doi: 10.1186/s13098-017-0218-0 URL |
[25] | Yang Y, Xu P, Liu Y, et al. Vascular inflammation, atherosclerosis, and lipid metabolism and the occurrence of non-high albuminuria diabetic kidney disease: A cross-sectional study[J]. Diabetes Vasc Dis Re, 2021, 18(1): 1479164121992524. |
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