Chinese General Practice ›› 2022, Vol. 25 ›› Issue (13): 1576-1581.DOI: 10.12114/j.issn.1007-9572.2022.0050
Special Issue: 全民健康最新文章合集
• Original Research·Population Health & Epidemiological Study • Previous Articles Next Articles
Received:
2022-01-17
Revised:
2022-03-04
Published:
2022-04-12
Online:
2022-04-22
Contact:
Hebo WANG
About author:
通讯作者:
王贺波
作者简介:
基金资助:
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.0050
组别 | 例数 | 年龄( | 性别〔n(%)〕 | BMI( | 吸烟史〔n(%)〕 | 饮酒史〔n(%)〕 | 高血压〔n(%)〕d | 糖尿病〔n(%)〕d | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
女 | 男 | 无 | 有 | 无 | 有 | 有 | 无 | 有 | 无 | ||||
进展组 | 1 586 | 52.5±11.1 | 477(30.08) | 1 109(69.92) | 24.99±3.04 | 1 027(64.75) | 559(35.25) | 820(51.70) | 766(48.30) | 509(32.09) | 1 077(67.91) | 189(11.98) | 1 388(88.02) |
非进展组 | 9 808 | 47.9±12.5 | 3 485(35.53) | 6 323(64.47) | 24.66±3.25 | 7 031(71.69) | 2 777(28.31) | 5 088(51.88) | 4 720(48.12) | 2 529(25.80) | 7 274(74.20) | 619(6.36) | 9 113(93.64) |
检验统计量值 | 15.05a | 17.68b | 4.07a | 1.99b | 0.01b | 141.32b | 42.47b | ||||||
P值 | <0.001 | <0.001 | <0.001 | 0.158 | 0.919 | <0.001 | <0.001 | ||||||
组别 | WBC( | NEUT( | LDL-C( | HDL-C( | TC( | TG 〔M(QR),mmol/L〕 | ALT 〔M(QR),mmol/L〕 | AST 〔M(QR),mmol/L〕 | Scr( | BUN( | eGFR〔 | ||
进展组 | 6.22±1.56 | 4.74±0.46 | 3.00±0.87 | 1.24±0.32 | 5.00±0.91 | 1.32(1.05) | 18.00(11.00) | 19.00(6.00) | 78.96±14.43 | 5.06±1.30 | 84.69±12.25 | ||
非进展组 | 6.19±1.57 | 4.74±0.47 | 2.73±0.84 | 1.25±0.32 | 4.77±0.89 | 1.22(1.01) | 18.00(12.00) | 19.00(6.00) | 79.14±18.12 | 4.96±1.31 | 90.49±13.91 | ||
检验统计量值 | 0.80a | 0.47a | 11.38a | 1.09a | 9.00a | 4.32c | 2.32c | 2.71c | 0.44a | 2.74a | 17.15a | ||
P值 | 0.426 | 0.638 | <0.001 | 0.277 | <0.001 | <0.001 | 0.021 | 0.007 | 0.660 | 0.006 | <0.001 |
Table 1 Comparison of characteristics between the carotid atherosclerosis progressive group and non-progressive group
组别 | 例数 | 年龄( | 性别〔n(%)〕 | BMI( | 吸烟史〔n(%)〕 | 饮酒史〔n(%)〕 | 高血压〔n(%)〕d | 糖尿病〔n(%)〕d | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
女 | 男 | 无 | 有 | 无 | 有 | 有 | 无 | 有 | 无 | ||||
进展组 | 1 586 | 52.5±11.1 | 477(30.08) | 1 109(69.92) | 24.99±3.04 | 1 027(64.75) | 559(35.25) | 820(51.70) | 766(48.30) | 509(32.09) | 1 077(67.91) | 189(11.98) | 1 388(88.02) |
非进展组 | 9 808 | 47.9±12.5 | 3 485(35.53) | 6 323(64.47) | 24.66±3.25 | 7 031(71.69) | 2 777(28.31) | 5 088(51.88) | 4 720(48.12) | 2 529(25.80) | 7 274(74.20) | 619(6.36) | 9 113(93.64) |
检验统计量值 | 15.05a | 17.68b | 4.07a | 1.99b | 0.01b | 141.32b | 42.47b | ||||||
P值 | <0.001 | <0.001 | <0.001 | 0.158 | 0.919 | <0.001 | <0.001 | ||||||
组别 | WBC( | NEUT( | LDL-C( | HDL-C( | TC( | TG 〔M(QR),mmol/L〕 | ALT 〔M(QR),mmol/L〕 | AST 〔M(QR),mmol/L〕 | Scr( | BUN( | eGFR〔 | ||
进展组 | 6.22±1.56 | 4.74±0.46 | 3.00±0.87 | 1.24±0.32 | 5.00±0.91 | 1.32(1.05) | 18.00(11.00) | 19.00(6.00) | 78.96±14.43 | 5.06±1.30 | 84.69±12.25 | ||
非进展组 | 6.19±1.57 | 4.74±0.47 | 2.73±0.84 | 1.25±0.32 | 4.77±0.89 | 1.22(1.01) | 18.00(12.00) | 19.00(6.00) | 79.14±18.12 | 4.96±1.31 | 90.49±13.91 | ||
检验统计量值 | 0.80a | 0.47a | 11.38a | 1.09a | 9.00a | 4.32c | 2.32c | 2.71c | 0.44a | 2.74a | 17.15a | ||
P值 | 0.426 | 0.638 | <0.001 | 0.277 | <0.001 | <0.001 | 0.021 | 0.007 | 0.660 | 0.006 | <0.001 |
性别 | 例数 | TBIL | IBIL | |
---|---|---|---|---|
颈动脉粥样硬化进展组 | ||||
男 | 1 109 | 15.34±4.69 | 11.38±3.64 | |
女 | 477 | 12.16±3.86 | 9.79±3.01 | |
t值 | -11.04 | -9.00 | ||
P值 | <0.001 | <0.001 | ||
非进展组 | ||||
男 | 6 323 | 15.38±4.63 | 11.55±3.69 | |
女 | 3 485 | 11.90±4.01 | 9.69±3.19 | |
t值 | -29.64 | -26.15 | ||
P值 | <0.001 | <0.001 |
Table 2 Comparison of TBIL and IBIL levels between different genders in carotid atherosclerosis progressive group and non-progressive group
性别 | 例数 | TBIL | IBIL | |
---|---|---|---|---|
颈动脉粥样硬化进展组 | ||||
男 | 1 109 | 15.34±4.69 | 11.38±3.64 | |
女 | 477 | 12.16±3.86 | 9.79±3.01 | |
t值 | -11.04 | -9.00 | ||
P值 | <0.001 | <0.001 | ||
非进展组 | ||||
男 | 6 323 | 15.38±4.63 | 11.55±3.69 | |
女 | 3 485 | 11.90±4.01 | 9.69±3.19 | |
t值 | -29.64 | -26.15 | ||
P值 | <0.001 | <0.001 |
自变量 | b | SE | Wald χ2值 | P值 | HR(95%CI) | |
---|---|---|---|---|---|---|
模型1 | ||||||
TBIL | -0.025 | 0.025 | -0.996 | 0.319 | 0.975(0.927,1.025) | |
IBIL | -0.095 | 0.026 | -3.602 | <0.001 | 0.910(0.864,0.958) | |
模型2 | ||||||
TBIL | -0.074 | 0.027 | -2.725 | 0.006 | 0.929(0.880,0.979) | |
IBIL | -0.147 | 0.028 | -5.311 | <0.001 | 0.863(0.818,0.911) | |
模型3 | ||||||
TBIL | -0.060 | 0.027 | -2.218 | 0.027 | 0.941(0.892,0.993) | |
IBIL | -0.135 | 0.028 | -4.842 | <0.001 | 0.874(0.828,0.923) | |
模型4 | ||||||
TBIL | -0.069 | 0.030 | -2.299 | 0.021 | 0.934(0.881,0.990) | |
IBIL | -0.191 | 0.031 | -6.191 | <0.001 | 0.826(0.777,0.877) | |
模型5 | ||||||
TBIL | -0.093 | 0.046 | -2.007 | 0.044 | 0.912(0.833,0.998) | |
IBIL | -0.174 | 0.047 | -3.699 | <0.001 | 0.841(0.767,0.922) |
Table 3 Cox regression analysis of the influence of serum bilirubin level on the progression of carotid artery plaque in healthy subjects
自变量 | b | SE | Wald χ2值 | P值 | HR(95%CI) | |
---|---|---|---|---|---|---|
模型1 | ||||||
TBIL | -0.025 | 0.025 | -0.996 | 0.319 | 0.975(0.927,1.025) | |
IBIL | -0.095 | 0.026 | -3.602 | <0.001 | 0.910(0.864,0.958) | |
模型2 | ||||||
TBIL | -0.074 | 0.027 | -2.725 | 0.006 | 0.929(0.880,0.979) | |
IBIL | -0.147 | 0.028 | -5.311 | <0.001 | 0.863(0.818,0.911) | |
模型3 | ||||||
TBIL | -0.060 | 0.027 | -2.218 | 0.027 | 0.941(0.892,0.993) | |
IBIL | -0.135 | 0.028 | -4.842 | <0.001 | 0.874(0.828,0.923) | |
模型4 | ||||||
TBIL | -0.069 | 0.030 | -2.299 | 0.021 | 0.934(0.881,0.990) | |
IBIL | -0.191 | 0.031 | -6.191 | <0.001 | 0.826(0.777,0.877) | |
模型5 | ||||||
TBIL | -0.093 | 0.046 | -2.007 | 0.044 | 0.912(0.833,0.998) | |
IBIL | -0.174 | 0.047 | -3.699 | <0.001 | 0.841(0.767,0.922) |
分层因素 | TBIL | IBIL | |||
---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | ||
年龄(岁) | 0.455 | 0.236 | |||
<60 | 0.920(0.861,0.984) | 0.807(0.752,0.865) | |||
≥60 | 0.970(0.859,1.096) | 0.879(0.777,0.995) | |||
性别 | 0.868 | 0.659 | |||
女 | 0.942(0.833,1.064) | 0.846(0.745,0.960) | |||
男 | 0.931(0.871,0.995) | 0.819(0.764,0.877) | |||
BMI(kg/m2) | 0.248 | 0.268 | |||
<24 | 0.975(0.888,1.070) | 0.861(0.782,0.949) | |||
≥24 | 0.908(0.842,0.979) | 0.803(0.742,0.868) | |||
饮酒史 | 0.691 | 0.729 | |||
无 | 0.980(0.846,1.005) | 0.815(0.745,0.891) | |||
有 | 0.944(0.872,1.022) | 0.833(0.767,0.905) | |||
吸烟史 | 0.540 | 0.511 | |||
无 | 0.922(0.855,0.994) | 0.813(0.752,0.879) | |||
有 | 0.957(0.872,1.050) | 0.848(0.770,0.934) | |||
高血压 | 0.202 | 0.217 | |||
无 | 0.959(0.893,1.029) | 0.848(0.788,0.912) | |||
有 | 0.883(0.794,0.981) | 0.781(0.700,0.871) | |||
糖尿病 | 0.075 | 0.105 | |||
无 | 0.949(0.893,1.010) | 0.838(0.786,0.893) | |||
有 | 0.792(0.656,0.958) | 0.708(0.583,0.859) |
Table 4 Cox regression analysis of the effect of bilirubin on carotid plaque progression in different stratified populations
分层因素 | TBIL | IBIL | |||
---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | ||
年龄(岁) | 0.455 | 0.236 | |||
<60 | 0.920(0.861,0.984) | 0.807(0.752,0.865) | |||
≥60 | 0.970(0.859,1.096) | 0.879(0.777,0.995) | |||
性别 | 0.868 | 0.659 | |||
女 | 0.942(0.833,1.064) | 0.846(0.745,0.960) | |||
男 | 0.931(0.871,0.995) | 0.819(0.764,0.877) | |||
BMI(kg/m2) | 0.248 | 0.268 | |||
<24 | 0.975(0.888,1.070) | 0.861(0.782,0.949) | |||
≥24 | 0.908(0.842,0.979) | 0.803(0.742,0.868) | |||
饮酒史 | 0.691 | 0.729 | |||
无 | 0.980(0.846,1.005) | 0.815(0.745,0.891) | |||
有 | 0.944(0.872,1.022) | 0.833(0.767,0.905) | |||
吸烟史 | 0.540 | 0.511 | |||
无 | 0.922(0.855,0.994) | 0.813(0.752,0.879) | |||
有 | 0.957(0.872,1.050) | 0.848(0.770,0.934) | |||
高血压 | 0.202 | 0.217 | |||
无 | 0.959(0.893,1.029) | 0.848(0.788,0.912) | |||
有 | 0.883(0.794,0.981) | 0.781(0.700,0.871) | |||
糖尿病 | 0.075 | 0.105 | |||
无 | 0.949(0.893,1.010) | 0.838(0.786,0.893) | |||
有 | 0.792(0.656,0.958) | 0.708(0.583,0.859) |
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