Chinese General Practice ›› 2022, Vol. 25 ›› Issue (32): 4029-4035.DOI: 10.12114/j.issn.1007-9572.2022.0348
Special Issue: 高血压最新文章合集
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Received:
2022-03-20
Revised:
2022-06-16
Published:
2022-11-15
Online:
2022-08-11
Contact:
CHENG Wenli
About author:
通讯作者:
程文立
作者简介:
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.0348
组别 | 例数 | 性别(男/女) | 年龄( | BMI( | 空腹血糖( | 三酰甘油( | 总胆固醇( | HDL-C( | LDL-C( |
---|---|---|---|---|---|---|---|---|---|
IASBPD<5 mm Hg组 | 4 248 | 2 521/1 727 | 51.3±13.5 | 25.2±3.2 | 5.62±0.84 | 1.40±0.62 | 4.95±1.08 | 1.19±0.40 | 2.47±1.00 |
5 mm Hg≤IASBPD<10 mm Hg组 | 1 806 | 1 068/738 | 51.0±13.5 | 25.1±3.0 | 5.60±0.87 | 1.42±0.62 | 4.90±1.12 | 1.17±0.41 | 2.45±0.97 |
IASBPD≥10 mm Hg组 | 780 | 501/279c | 50.7±13.6 | 25.1±3.1 | 5.65±0.88 | 1.56±0.23cd | 4.95±1.15 | 1.15±0.42 | 2.50±1.04 |
检验统计量值 | 7.223a | 0.908 | 0.532 | 0.974 | 22.656 | 1.397 | 3.061 | 0.752 | |
P值 | 0.029 | 0.402 | 0.589 | 0.377 | <0.001 | 0.246 | 0.047 | 0.471 | |
组别 | 血清肌酐〔M(P25,P75),μmol/L〕 | eGFR〔M(P25,P75),ml·min-1·(1.73 m2)-1〕 | 收缩压( | 舒张压( | 脉压差( | baPWV( | 动脉硬化〔n(%)〕 | ||
IASBPD<5 mm Hg组 | 71.70(61.09,86.72) | 86.91(73.24,100.14) | 143±17 | 89±12 | 55±11 | 1 541.05±213.66 | 601(14.15) | ||
5 mm Hg≤IASBPD<10 mm Hg组 | 72.58(62.03,88.77)c | 85.41(72.59,98.86) | 143±16 | 89±12 | 55±10 | 1 547.75±205.03 | 250(13.84) | ||
IASBPD≥10 mm Hg组 | 74.82 (63.74,97.82)cd | 86.88 (73.28,100.66) | 144±18 | 89±12 | 57±12cd | 1 629.18±330.96cd | 192(24.62)cd | ||
检验统计量值 | 35.616b | 5.258b | 1.291 | 1.174 | 6.621 | 49.863 | 59.655a | ||
P值 | <0.001 | 0.072 | 0.274 | 0.312 | 0.001 | <0.001 | <0.001 |
Table 1 Comparison of demographic and laboratory data among three groups of in essential hypertension patients divided by the inter-arm systolic blood pressure difference
组别 | 例数 | 性别(男/女) | 年龄( | BMI( | 空腹血糖( | 三酰甘油( | 总胆固醇( | HDL-C( | LDL-C( |
---|---|---|---|---|---|---|---|---|---|
IASBPD<5 mm Hg组 | 4 248 | 2 521/1 727 | 51.3±13.5 | 25.2±3.2 | 5.62±0.84 | 1.40±0.62 | 4.95±1.08 | 1.19±0.40 | 2.47±1.00 |
5 mm Hg≤IASBPD<10 mm Hg组 | 1 806 | 1 068/738 | 51.0±13.5 | 25.1±3.0 | 5.60±0.87 | 1.42±0.62 | 4.90±1.12 | 1.17±0.41 | 2.45±0.97 |
IASBPD≥10 mm Hg组 | 780 | 501/279c | 50.7±13.6 | 25.1±3.1 | 5.65±0.88 | 1.56±0.23cd | 4.95±1.15 | 1.15±0.42 | 2.50±1.04 |
检验统计量值 | 7.223a | 0.908 | 0.532 | 0.974 | 22.656 | 1.397 | 3.061 | 0.752 | |
P值 | 0.029 | 0.402 | 0.589 | 0.377 | <0.001 | 0.246 | 0.047 | 0.471 | |
组别 | 血清肌酐〔M(P25,P75),μmol/L〕 | eGFR〔M(P25,P75),ml·min-1·(1.73 m2)-1〕 | 收缩压( | 舒张压( | 脉压差( | baPWV( | 动脉硬化〔n(%)〕 | ||
IASBPD<5 mm Hg组 | 71.70(61.09,86.72) | 86.91(73.24,100.14) | 143±17 | 89±12 | 55±11 | 1 541.05±213.66 | 601(14.15) | ||
5 mm Hg≤IASBPD<10 mm Hg组 | 72.58(62.03,88.77)c | 85.41(72.59,98.86) | 143±16 | 89±12 | 55±10 | 1 547.75±205.03 | 250(13.84) | ||
IASBPD≥10 mm Hg组 | 74.82 (63.74,97.82)cd | 86.88 (73.28,100.66) | 144±18 | 89±12 | 57±12cd | 1 629.18±330.96cd | 192(24.62)cd | ||
检验统计量值 | 35.616b | 5.258b | 1.291 | 1.174 | 6.621 | 49.863 | 59.655a | ||
P值 | <0.001 | 0.072 | 0.274 | 0.312 | 0.001 | <0.001 | <0.001 |
变量 | 单因素模型 | 多因素模型1 | 多因素模型2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B(95%CI) | SE | β | t值 | P值 | B(95%CI) | SE | β | t值 | P值 | B(95%CI) | SE | β | t值 | P值 | |
IASBPD | 5.63(4.36,6.90) | 0.646 | 0.301 | 8.713 | <0.001 | 5.66(4.39,6.92) | 0.645 | 0.213 | 8.767 | <0.001 | 4.31(3.29,5.31) | 0.514 | 0.148 | 8.360 | <0.001 |
IASBPD<5 mm Hg | 0 | — | — | — | — | 0 | — | — | — | — | 0 | — | — | — | — |
5 mm Hg≤IASBPD<10 mm Hg | 6.70(-5.85,19.25) | 6.405 | 0.018 | 1.046 | 0.296 | 7.28(-5.25,19.80) | 6.392 | 0.062 | 1.138 | 0.255 | 8.59(-1.07,18.25) | 4.927 | 0.072 | 1.743 | 0.081 |
IASBPD≥10 mm Hg | 88.13(70.72,105.54) | 8.881 | 0.256 | <0.001 | <0.001 | 88.41(71.03,105.78) | 8.867 | 0.208 | 9.970 | <0.001 | 72.66(59.23,87.14) | 7.110 | 0.167 | 10.220 | <0.001 |
Table 2 Linear regression analysis of inter-arm systolic blood pressure difference and brachial-ankle pulse wave velocity in essential hypertension
变量 | 单因素模型 | 多因素模型1 | 多因素模型2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B(95%CI) | SE | β | t值 | P值 | B(95%CI) | SE | β | t值 | P值 | B(95%CI) | SE | β | t值 | P值 | |
IASBPD | 5.63(4.36,6.90) | 0.646 | 0.301 | 8.713 | <0.001 | 5.66(4.39,6.92) | 0.645 | 0.213 | 8.767 | <0.001 | 4.31(3.29,5.31) | 0.514 | 0.148 | 8.360 | <0.001 |
IASBPD<5 mm Hg | 0 | — | — | — | — | 0 | — | — | — | — | 0 | — | — | — | — |
5 mm Hg≤IASBPD<10 mm Hg | 6.70(-5.85,19.25) | 6.405 | 0.018 | 1.046 | 0.296 | 7.28(-5.25,19.80) | 6.392 | 0.062 | 1.138 | 0.255 | 8.59(-1.07,18.25) | 4.927 | 0.072 | 1.743 | 0.081 |
IASBPD≥10 mm Hg | 88.13(70.72,105.54) | 8.881 | 0.256 | <0.001 | <0.001 | 88.41(71.03,105.78) | 8.867 | 0.208 | 9.970 | <0.001 | 72.66(59.23,87.14) | 7.110 | 0.167 | 10.220 | <0.001 |
变量 | 单因素模型 | 多因素模型1 | 多因素模型2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
β | SE | Wald χ2值 | P值 | OR(95%CI) | β | SE | Wald χ2值 | P值 | OR(95%CI) | β | SE | Wald χ2值 | P值 | OR(95%CI) | |
IASBPD<5 mm Hg | — | — | — | — | 1.00 | — | — | — | — | 1.00 | — | — | — | — | 1.00 |
5 mm Hg≤IASBPD<10 mm Hg | 0.025 | 0.081 | 0.098 | 0.755 | 0.98(0.83,1.14) | -0.019 | 0.081 | 0.054 | 0.816 | 0.98(0.84,1.15) | -0.080 | 0.103 | 0.600 | 0.439 | 0.92(0.75,1.13) |
IASBPD≥10 mm Hg | 0.684 | 0.094 | 52.857 | <0.001 | 1.98(1.65,2.38) | 0.694 | 0.094 | 54.012 | <0.001 | 2.00(1.66,2.41) | 0.823 | 0.130 | 40.022 | <0.001 | 2.28(1.76,2.94) |
Table 3 Logistic regression analysis of inter-arm systolic blood pressure difference and arterial stiffness in essential hypertension
变量 | 单因素模型 | 多因素模型1 | 多因素模型2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
β | SE | Wald χ2值 | P值 | OR(95%CI) | β | SE | Wald χ2值 | P值 | OR(95%CI) | β | SE | Wald χ2值 | P值 | OR(95%CI) | |
IASBPD<5 mm Hg | — | — | — | — | 1.00 | — | — | — | — | 1.00 | — | — | — | — | 1.00 |
5 mm Hg≤IASBPD<10 mm Hg | 0.025 | 0.081 | 0.098 | 0.755 | 0.98(0.83,1.14) | -0.019 | 0.081 | 0.054 | 0.816 | 0.98(0.84,1.15) | -0.080 | 0.103 | 0.600 | 0.439 | 0.92(0.75,1.13) |
IASBPD≥10 mm Hg | 0.684 | 0.094 | 52.857 | <0.001 | 1.98(1.65,2.38) | 0.694 | 0.094 | 54.012 | <0.001 | 2.00(1.66,2.41) | 0.823 | 0.130 | 40.022 | <0.001 | 2.28(1.76,2.94) |
[1] |
|
[2] |
|
[3] |
中国高血压防治指南修订委员会,高血压联盟(中国),中华医学会心血管病学分会,等. 中国高血压防治指南(2018年修订版)[J]. 中国心血管杂志,2019,24(1):24-56.
|
[4] |
中国医疗保健国际交流促进会难治性高血压与周围动脉病分会专家共识起草组. 同步四肢血压和臂踝脉搏波速度测量临床应用中国专家共识[J]. 中国循环杂志,2020,35(6):521-528. DOI:10.3969/j.issn.1000-3614.2020.06.001.
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] | |
[17] |
|
[18] |
|
[19] |
|
[20] |
|
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