临床荟萃 ›› 2024, Vol. 39 ›› Issue (7): 603-611.doi: 10.3969/j.issn.1004-583X.2024.07.004
收稿日期:
2023-12-10
出版日期:
2024-07-20
发布日期:
2024-08-02
通讯作者:
霍丽娟
E-mail:mymail5296@163.com
Received:
2023-12-10
Online:
2024-07-20
Published:
2024-08-02
Contact:
Huo Lijuan
E-mail:mymail5296@163.com
摘要:
目的 分析血清总胆红素(total bilirubin, TBIL)、间接胆红素(indirect bilirubin, IBIL)、直接胆红素(direct bilirubin, DBIL)及中性粒细胞百分比与总胆红素比值(neutrophil-to-total bilirubin ratio, NBR)与溃疡性结肠炎(ulcerative colitis, UC)严重程度及病变范围的相关性。方法 回顾性收集2018年6月至2023年6月于山西医科大学第一医院住院治疗的250例活动期UC患者及同期在该院体检的250例健康人为研究对象,收集其临床资料并计算NBR。利用SPSS 26.0软件分析UC与健康人、UC不同严重程度、不同病变范围、不同临床类型间TBIL、IBIL、DBIL及NBR的差异;通过Spearson相关性分析上述指标与血红蛋白(hemoglobin, Hb)、白蛋白(albumin, ALB)、C反应蛋白(C-reactive protein, CRP)、血沉(erythrocyte sedimentation Rate, ESR)及临床Mayo评分间的相关性;通过二元Logistic回归分析TBIL、IBIL、DBIL及NBR与 UC、重度UC、E3型UC的OR值,最终通过绘制受试者工作特征(receiver operating characteristic curve, ROC)曲线确定上述指标对UC、重度UC、E3型UC的预测价值。结果 ①UC患者血清TBIL、IBIL、DBIL水平显著低于健康人,而NBR水平显著升高,差异有统计学意义;②TBIL、IBIL在重度UC、E3型UC患者中显著降低,而NBR则显著升高,差异有统计学意义,DBIL在各亚组间差异无统计学意义;初发型和慢性复发型UC患者各指标差异均无统计学意义;③相关性分析显示,TBIL、IBIL与Hb、ALB水平呈显著正相关,而与ESR、CRP及改良Mayo评分呈显著负相关;NBR则相反;④较低水平的TBIL、IBIL及较高水平的NBR是发生重度UC、E3型UC的危险因素,TBIL≤8.28 μmol/L、IBIL≤6.48 μmol/L、NBR>7.89时发生重度UC的OR值分别为4.119、6.550和4.947,发生E3型UC的OR值分别为2.215、3.087和2.244;⑤ROC曲线表明TBIL、IBIL、NBR对重度UC、E3型UC有轻度预测价值。结论 TBIL、IBIL、NBR与UC患者的严重程度及病变范围有一定的相关性,对重度UC、E3型UC有一定的预测价值。
中图分类号:
陈晓天, 霍丽娟. 血清胆红素、NBR在溃疡性结肠炎病情评估中的价值[J]. 临床荟萃, 2024, 39(7): 603-611.
Chen Xiaotian, Huo Lijuan. Predictive value of serum total bilirubin, neutrophil-to-total bilirubin ratio in evaluating the condition of ulcerative colitis[J]. Clinical Focus, 2024, 39(7): 603-611.
组别 | 例数 | 年龄 (岁) | 性别[例(%)] | TBIL (μmol/L) | IBILC (μmol/L) | DBIL (μmol/L) | NEUT% | NBR | |
---|---|---|---|---|---|---|---|---|---|
男 | 女 | ||||||||
UC组 | 250 | 47.10±14.57 | 149(59.6) | 101(40.4) | 11.53±4.56 | 9.15±3.87 | 2.36±1.16 | 61.82±11.23 | 5.31±5.42 |
健康对照组 | 250 | 50.00±13.76 | 155(62.0) | 95(38.0) | 14.73±4.94 | 11.99±4.17 | 2.79±1.76 | 55.27±8.42 | 5.13±1.83 |
统计值 | χ2=0.302 | ||||||||
P值 | 0.121 | 0.583 | <0.01 | <0.01 | 0.002 | <0.01 | <0.001 |
表1 UC组与健康对照组临床资料比较
Tab.1 Clinical data between UC group and healthy control group
组别 | 例数 | 年龄 (岁) | 性别[例(%)] | TBIL (μmol/L) | IBILC (μmol/L) | DBIL (μmol/L) | NEUT% | NBR | |
---|---|---|---|---|---|---|---|---|---|
男 | 女 | ||||||||
UC组 | 250 | 47.10±14.57 | 149(59.6) | 101(40.4) | 11.53±4.56 | 9.15±3.87 | 2.36±1.16 | 61.82±11.23 | 5.31±5.42 |
健康对照组 | 250 | 50.00±13.76 | 155(62.0) | 95(38.0) | 14.73±4.94 | 11.99±4.17 | 2.79±1.76 | 55.27±8.42 | 5.13±1.83 |
统计值 | χ2=0.302 | ||||||||
P值 | 0.121 | 0.583 | <0.01 | <0.01 | 0.002 | <0.01 | <0.001 |
组别 | 例数 | TBIL(μmol/L) | IBIL(μmol/L) | DBIL(μmol/L) | NEUT% | NBR |
---|---|---|---|---|---|---|
轻度 | 55 | 13.10±4.50 | 10.74±3.96 | 2.34±0.76 | 57.90±9.87 | 5.04±2.57 |
中度 | 119 | 11.62±4.51 | 9.41±3.84 | 2.22±0.92 | 61.40±10.59 | 6.11±2.72 |
重度 | 76 | 10.25±4.34 | 7.69±3.29 | 2.60±1.63 | 65.31±12.16 | 7.48±3.31 |
统计值 | ||||||
P值 | 0.002 | <0.01 | 0.076 | 0.001 | 0.001 | |
E1 | 39 | 13.09±4.74 | 10.65±4.27 | 2.43±0.71 | 57.84±8.47 | 5.11±2.33 |
E2 | 73 | 11.87±4.73 | 9.66±3.99 | 2.21±0.89 | 61.60±11.09 | 6.23±3.39 |
E3 | 138 | 10.91±4.31 | 8.46±3.54 | 2.42±1.37 | 63.06±11.77 | 6.66±12.88 |
统计值 | ||||||
P值 | 0.023 | 0.003 | 0.427 | 0.036 | 0.016 | |
初发型 | 67 | 11.40±5.14 | 8.97±4.36 | 2.38±1.20 | 62.57±11.25 | 6.51±3.08 |
慢性复发型 | 183 | 11.58±4.34 | 9.22±3.69 | 2.36±1.15 | 61.54±11.23 | 6.22±2.98 |
统计值 | ||||||
P值 | 0.787 | 0.656 | 0.905 | 0.525 | 0.498 |
表2 不同严重程度、不同病变范围及不同临床类型的UC临床各参数比较( x -±s)
Tab.2 Clinical parameters in UC with different severity levels, lesion ranges, and clinical types( x -±s)
组别 | 例数 | TBIL(μmol/L) | IBIL(μmol/L) | DBIL(μmol/L) | NEUT% | NBR |
---|---|---|---|---|---|---|
轻度 | 55 | 13.10±4.50 | 10.74±3.96 | 2.34±0.76 | 57.90±9.87 | 5.04±2.57 |
中度 | 119 | 11.62±4.51 | 9.41±3.84 | 2.22±0.92 | 61.40±10.59 | 6.11±2.72 |
重度 | 76 | 10.25±4.34 | 7.69±3.29 | 2.60±1.63 | 65.31±12.16 | 7.48±3.31 |
统计值 | ||||||
P值 | 0.002 | <0.01 | 0.076 | 0.001 | 0.001 | |
E1 | 39 | 13.09±4.74 | 10.65±4.27 | 2.43±0.71 | 57.84±8.47 | 5.11±2.33 |
E2 | 73 | 11.87±4.73 | 9.66±3.99 | 2.21±0.89 | 61.60±11.09 | 6.23±3.39 |
E3 | 138 | 10.91±4.31 | 8.46±3.54 | 2.42±1.37 | 63.06±11.77 | 6.66±12.88 |
统计值 | ||||||
P值 | 0.023 | 0.003 | 0.427 | 0.036 | 0.016 | |
初发型 | 67 | 11.40±5.14 | 8.97±4.36 | 2.38±1.20 | 62.57±11.25 | 6.51±3.08 |
慢性复发型 | 183 | 11.58±4.34 | 9.22±3.69 | 2.36±1.15 | 61.54±11.23 | 6.22±2.98 |
统计值 | ||||||
P值 | 0.787 | 0.656 | 0.905 | 0.525 | 0.498 |
组别 | 例数 | Hb(g/L) | ALB(g/L) | ESR(mm/h) | CRP(mg/L) | 改良Mayo评分(分) |
---|---|---|---|---|---|---|
轻度 | 55 | 130.96±10.93 | 39.81±4.52 | 12.67±16.10 | 9.83±21.67 | 4.96±1.39 |
中度 | 119 | 125.08±22.55 | 37.79±4.65 | 22.69±20.91 | 21.23±33.26 | 7.90±1.33 |
重度 | 76 | 105.45±31.31 | 31.34±6.53 | 42.41±31.64 | 46.08±41.61 | 10.46±1.23 |
统计值 | ||||||
P值 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 |
表3 不同严重程度UC患者间常用指标的比较( x -±s)
Tab.3 Commonly used indicators among patients with UC of different severity levels( x -±s)
组别 | 例数 | Hb(g/L) | ALB(g/L) | ESR(mm/h) | CRP(mg/L) | 改良Mayo评分(分) |
---|---|---|---|---|---|---|
轻度 | 55 | 130.96±10.93 | 39.81±4.52 | 12.67±16.10 | 9.83±21.67 | 4.96±1.39 |
中度 | 119 | 125.08±22.55 | 37.79±4.65 | 22.69±20.91 | 21.23±33.26 | 7.90±1.33 |
重度 | 76 | 105.45±31.31 | 31.34±6.53 | 42.41±31.64 | 46.08±41.61 | 10.46±1.23 |
统计值 | ||||||
P值 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 |
因变量 | TBIL | IBIL | NEUT% | NBR | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
P值 | P值 | P值 | P值 | ||||||||
Hb | 0.368 | <0.01 | 0.424 | <0.01 | -0.105 | 0.097 | -0.337 | <0.01 | |||
ALB | 0.303 | <0.01 | 0.386 | <0.01 | -0.263 | <0.01 | -0.406 | <0.01 | |||
ESR | -0.202 | <0.01 | -0.314 | <0.01 | 0.271 | <0.01 | 0.358 | <0.01 | |||
CRP | -0.275 | <0.01 | -0.313 | <0.01 | 0.402 | <0.01 | 0.430 | <0.01 | |||
改良Mayo评分 | -0.277 | <0.01 | -0.342 | <0.01 | 0.196 | <0.01 | 0.301 | <0.01 |
表4 TBIL、IBIL、NBR与上述指标的相关性
Tab.4 Correlation between TBIL, IBIL and NBR with the above indicators
因变量 | TBIL | IBIL | NEUT% | NBR | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
P值 | P值 | P值 | P值 | ||||||||
Hb | 0.368 | <0.01 | 0.424 | <0.01 | -0.105 | 0.097 | -0.337 | <0.01 | |||
ALB | 0.303 | <0.01 | 0.386 | <0.01 | -0.263 | <0.01 | -0.406 | <0.01 | |||
ESR | -0.202 | <0.01 | -0.314 | <0.01 | 0.271 | <0.01 | 0.358 | <0.01 | |||
CRP | -0.275 | <0.01 | -0.313 | <0.01 | 0.402 | <0.01 | 0.430 | <0.01 | |||
改良Mayo评分 | -0.277 | <0.01 | -0.342 | <0.01 | 0.196 | <0.01 | 0.301 | <0.01 |
因素 | 回归系数 | 标准误 | Wald χ2值 | P值 | 95% | ||
---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||
TBIL | -0.146 | 0.022 | 45.706 | <0.01 | 0.0864 | 0.828 | 0.901 |
IBIL | -0.182 | 0.026 | 49.075 | <0.01 | 0.833 | 0.792 | 0.877 |
DBIL | -0.273 | 0.084 | 10.446 | 0.001 | 0.761 | 0.645 | 0.898 |
NEUT% | 0.066 | 0.010 | 44.921 | <0.01 | 1.069 | 1.048 | 1.090 |
NBR | 0.385 | 0.046 | 70.251 | <0.01 | 1.469 | 1.343 | 1.608 |
表5 UC发病危险因素的二元logistic回归分析
Tab.5 Binary logistic regression analysis for UC risk factors
因素 | 回归系数 | 标准误 | Wald χ2值 | P值 | 95% | ||
---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||
TBIL | -0.146 | 0.022 | 45.706 | <0.01 | 0.0864 | 0.828 | 0.901 |
IBIL | -0.182 | 0.026 | 49.075 | <0.01 | 0.833 | 0.792 | 0.877 |
DBIL | -0.273 | 0.084 | 10.446 | 0.001 | 0.761 | 0.645 | 0.898 |
NEUT% | 0.066 | 0.010 | 44.921 | <0.01 | 1.069 | 1.048 | 1.090 |
NBR | 0.385 | 0.046 | 70.251 | <0.01 | 1.469 | 1.343 | 1.608 |
参数 | 组别 | 校正后 | 95% | P值 | |
---|---|---|---|---|---|
下限 | 上限 | ||||
TBIL(μmol/L) | ≤9.50 | 5.274 | 2.911 | 9.552 | 0.000 |
9.51~12.30 | 2.451 | 1.430 | 4.203 | 0.001 | |
12.31~16.20 | 0.978 | 0.556 | 1.719 | 0.978 | |
>16.20 | 参考 | - | |||
IBIL(μmol/L) | ≤7.53 | 6.169 | 3.365 | 11.310 | 0.000 |
7.54~9.9 | 2.123 | 1.242 | 3.627 | 0.006 | |
9.91~12.90 | 1.068 | 0.610 | 1.872 | 0.817 | |
>12.90 | 参考 | - | |||
DBIL(μmol/L) | ≤1.70 | 2.581 | 1.476 | 4.516 | 0.001 |
1.71~2.30 | 1.748 | 1.027 | 2.974 | 0.040 | |
2.31~3.0 | 0.945 | 0.540 | 1.656 | 0.845 | |
>3.0 | 参考 | - | |||
NEUT% | ≤51.03 | 参考 | - | ||
51.04~57.55 | 1.055 | 0.610 | 1.826 | 0.847 | |
57.56~66.08 | 1.888 | 1.096 | 3.251 | 0.022 | |
>66.08 | 4.872 | 2.720 | 8.728 | 0.000 | |
NBR | ≤4.22 | 参考 | - | ||
4.23~5.65 | 2.183 | 1.239 | 3.847 | 0.007 | |
5.66~7.83 | 2.672 | 1.526 | 4.680 | 0.001 | |
>7.83 | 14.928 | 7.582 | 29.390 | 0.000 |
表6 TBIL、IBIL、DBIL、NEUT%及NBR水平与UC发病风险的关系
Tab.6 Correlation between TBIL, IBIL, DBIL and NEUT% with NBR levels with UC risk
参数 | 组别 | 校正后 | 95% | P值 | |
---|---|---|---|---|---|
下限 | 上限 | ||||
TBIL(μmol/L) | ≤9.50 | 5.274 | 2.911 | 9.552 | 0.000 |
9.51~12.30 | 2.451 | 1.430 | 4.203 | 0.001 | |
12.31~16.20 | 0.978 | 0.556 | 1.719 | 0.978 | |
>16.20 | 参考 | - | |||
IBIL(μmol/L) | ≤7.53 | 6.169 | 3.365 | 11.310 | 0.000 |
7.54~9.9 | 2.123 | 1.242 | 3.627 | 0.006 | |
9.91~12.90 | 1.068 | 0.610 | 1.872 | 0.817 | |
>12.90 | 参考 | - | |||
DBIL(μmol/L) | ≤1.70 | 2.581 | 1.476 | 4.516 | 0.001 |
1.71~2.30 | 1.748 | 1.027 | 2.974 | 0.040 | |
2.31~3.0 | 0.945 | 0.540 | 1.656 | 0.845 | |
>3.0 | 参考 | - | |||
NEUT% | ≤51.03 | 参考 | - | ||
51.04~57.55 | 1.055 | 0.610 | 1.826 | 0.847 | |
57.56~66.08 | 1.888 | 1.096 | 3.251 | 0.022 | |
>66.08 | 4.872 | 2.720 | 8.728 | 0.000 | |
NBR | ≤4.22 | 参考 | - | ||
4.23~5.65 | 2.183 | 1.239 | 3.847 | 0.007 | |
5.66~7.83 | 2.672 | 1.526 | 4.680 | 0.001 | |
>7.83 | 14.928 | 7.582 | 29.390 | 0.000 |
因素 | 回归系数 | 标准误 | Wald χ2值 | P值 | 95% | |||
---|---|---|---|---|---|---|---|---|
下限 | 上限 | |||||||
重度UC | TBIL | -0.100 | 0.035 | 8.272 | 0.004 | 0.905 | 0.845 | 0.969 |
IBIL | -0.184 | 0.046 | 16.289 | <0.01 | 0.832 | 0.761 | 0.910 | |
NEUT% | 0.042 | 0.013 | 10.157 | 0.001 | 1.042 | 1.016 | 1.069 | |
NBR | 0.188 | 0.049 | 14.866 | <0.01 | 1.207 | 1.097 | 1.329 | |
E3型UC | TBIL | -0.068 | 0.029 | 5.556 | 0.018 | 0.934 | 0.883 | 0.989 |
IBIL | -0.107 | 0.035 | 9.494 | 0.002 | 0.898 | 0.839 | 0.962 | |
NEUT% | 0.022 | 0.012 | 3.742 | 0.053 | 1.023 | 1.000 | 1.046 | |
NBR | 0.098 | 0.046 | 4.559 | 0.033 | 1.103 | 1.008 | 1.207 |
表7 TBIL、IBIL、NEUT%及NBR与重度UC、E3型UC发生风险的二元logistic回归分析
Tab.7 Binary logistic regression analysis of TBIL, IBIL, NEUT% and NBR with the risk of severe UC and E3 type UC
因素 | 回归系数 | 标准误 | Wald χ2值 | P值 | 95% | |||
---|---|---|---|---|---|---|---|---|
下限 | 上限 | |||||||
重度UC | TBIL | -0.100 | 0.035 | 8.272 | 0.004 | 0.905 | 0.845 | 0.969 |
IBIL | -0.184 | 0.046 | 16.289 | <0.01 | 0.832 | 0.761 | 0.910 | |
NEUT% | 0.042 | 0.013 | 10.157 | 0.001 | 1.042 | 1.016 | 1.069 | |
NBR | 0.188 | 0.049 | 14.866 | <0.01 | 1.207 | 1.097 | 1.329 | |
E3型UC | TBIL | -0.068 | 0.029 | 5.556 | 0.018 | 0.934 | 0.883 | 0.989 |
IBIL | -0.107 | 0.035 | 9.494 | 0.002 | 0.898 | 0.839 | 0.962 | |
NEUT% | 0.022 | 0.012 | 3.742 | 0.053 | 1.023 | 1.000 | 1.046 | |
NBR | 0.098 | 0.046 | 4.559 | 0.033 | 1.103 | 1.008 | 1.207 |
组别 | 重度 | E3 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
校正后OR | 95% | P值 | 校正后OR | 95% | P值 | ||||||
下限 | 上限 | 下限 | 上限 | ||||||||
TBIL(μmol/L) | ≤8.28 | 4.119 | 1.747 | 9.712 | 0.001 | 2.215 | 1.045 | 4.695 | 0.038 | ||
8.29~10.70 | 2.163 | 0.924 | 5.062 | 0.075 | 2.329 | 1.120 | 4.844 | 0.024 | |||
10.71~13.73 | 1.669 | 0.679 | 4.103 | 0.264 | 1.265 | 0.603 | 2.654 | 0.534 | |||
>13.73 | 参考 | - | - | - | |||||||
IBIL(μmol/L) | ≤6.48 | 6.550 | 2.636 | 16.274 | 0.000 | 3.087 | 1.437 | 6.633 | 0.004 | ||
6.49~8.45 | 2.781 | 1.108 | 6.979 | 0.029 | 2.910 | 1.370 | 6.183 | 0.005 | |||
8.46~11.20 | 2.198 | 0.852 | 5.672 | 0.104 | 1.527 | 0.729 | 3.196 | 0.262 | |||
>11.20 | 参考 | - | - | - | |||||||
NEUT% | ≤54.30 | 参考 | - | - | - | ||||||
54.31~62.30 | 0.835 | 0.343 | 2.030 | 0.690 | - | - | |||||
62.31~69.28 | 1.496 | 0.650 | 3.444 | 0.344 | - | - | |||||
>69.28 | 2.863 | 1.255 | 6.534 | 0.012 | - | - | |||||
NBR | ≤4.22 | 参考 | - | - | - | ||||||
4.23~5.60 | 1.961 | 0.786 | 4.888 | 0.149 | 1.259 | 0.611 | 2.594 | 0.149 | |||
5.61~7.89 | 2.679 | 1.099 | 6.528 | 0.030 | 1.969 | 0.947 | 4.093 | 0.030 | |||
>7.89 | 4.947 | 2.060 | 11.876 | 0.000 | 2.244 | 1.056 | 4.766 | 0.000 |
表8 TBIL、IBIL、NEUT%及NBR与重度UC、E3型UC发病风险的关系
Tab.8 Correlation between TBIL, IBIL, NEUT% and NBR with the risk of severe UC and E3 type UC
组别 | 重度 | E3 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
校正后OR | 95% | P值 | 校正后OR | 95% | P值 | ||||||
下限 | 上限 | 下限 | 上限 | ||||||||
TBIL(μmol/L) | ≤8.28 | 4.119 | 1.747 | 9.712 | 0.001 | 2.215 | 1.045 | 4.695 | 0.038 | ||
8.29~10.70 | 2.163 | 0.924 | 5.062 | 0.075 | 2.329 | 1.120 | 4.844 | 0.024 | |||
10.71~13.73 | 1.669 | 0.679 | 4.103 | 0.264 | 1.265 | 0.603 | 2.654 | 0.534 | |||
>13.73 | 参考 | - | - | - | |||||||
IBIL(μmol/L) | ≤6.48 | 6.550 | 2.636 | 16.274 | 0.000 | 3.087 | 1.437 | 6.633 | 0.004 | ||
6.49~8.45 | 2.781 | 1.108 | 6.979 | 0.029 | 2.910 | 1.370 | 6.183 | 0.005 | |||
8.46~11.20 | 2.198 | 0.852 | 5.672 | 0.104 | 1.527 | 0.729 | 3.196 | 0.262 | |||
>11.20 | 参考 | - | - | - | |||||||
NEUT% | ≤54.30 | 参考 | - | - | - | ||||||
54.31~62.30 | 0.835 | 0.343 | 2.030 | 0.690 | - | - | |||||
62.31~69.28 | 1.496 | 0.650 | 3.444 | 0.344 | - | - | |||||
>69.28 | 2.863 | 1.255 | 6.534 | 0.012 | - | - | |||||
NBR | ≤4.22 | 参考 | - | - | - | ||||||
4.23~5.60 | 1.961 | 0.786 | 4.888 | 0.149 | 1.259 | 0.611 | 2.594 | 0.149 | |||
5.61~7.89 | 2.679 | 1.099 | 6.528 | 0.030 | 1.969 | 0.947 | 4.093 | 0.030 | |||
>7.89 | 4.947 | 2.060 | 11.876 | 0.000 | 2.244 | 1.056 | 4.766 | 0.000 |
指标 | AUC | 标准误 | P值 | 95% | 敏感度 | 特异度 | 约登指数 | 界值 | |
---|---|---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||||
TBIL | 0.700 | 0.023 | <0.01 | 0.654 | 0.746 | 0.648 | 0.688 | 0.336 | 12.05 |
IBIL | 0.707 | 0.023 | <0.01 | 0.662 | 0.752 | 0.628 | 0.708 | 0.336 | 9.65 |
DBIL | 0.619 | 0.025 | <0.01 | 0.570 | 0.669 | 0.584 | 0.628 | 0.212 | 2.25 |
NEUT% | 0.681 | 0.024 | <0.01 | 0.634 | 0.728 | 0.532 | 0.784 | 0.316 | 61.8 |
NBR | 0.744 | 0.022 | <0.01 | 0.701 | 0.787 | 0.496 | 0.896 | 0.392 | 7.28 |
表9 TBIL、IBIL、DBIL、NEUT%、NBR对UC的预测价值
Tab.9 Predictive value of TBIL, IBIL, DBIL, NEUT% and NBR for UC
指标 | AUC | 标准误 | P值 | 95% | 敏感度 | 特异度 | 约登指数 | 界值 | |
---|---|---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||||
TBIL | 0.700 | 0.023 | <0.01 | 0.654 | 0.746 | 0.648 | 0.688 | 0.336 | 12.05 |
IBIL | 0.707 | 0.023 | <0.01 | 0.662 | 0.752 | 0.628 | 0.708 | 0.336 | 9.65 |
DBIL | 0.619 | 0.025 | <0.01 | 0.570 | 0.669 | 0.584 | 0.628 | 0.212 | 2.25 |
NEUT% | 0.681 | 0.024 | <0.01 | 0.634 | 0.728 | 0.532 | 0.784 | 0.316 | 61.8 |
NBR | 0.744 | 0.022 | <0.01 | 0.701 | 0.787 | 0.496 | 0.896 | 0.392 | 7.28 |
指标 | AUC | 标准误 | P值 | 95% | 敏感度 | 特异度 | 约登指数 | 界值 | |
---|---|---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||||
TBIL | 0.632 | 0.029 | 0.001 | 0.555 | 0.709 | 0.592 | 0.632 | 0.224 | 10.05 |
IBIL | 0.680 | 0.037 | <0.001 | 0.608 | 0.753 | 0.671 | 0.621 | 0.292 | 8.15 |
NEUT% | 0.634 | 0.040 | 0.001 | 0.555 | 0.712 | 0.737 | 0.511 | 0.248 | 60.45 |
NBR | 0.668 | 0.038 | <0.001 | 0.594 | 0.741 | 0.763 | 0.511 | 0.275 | 5.15 |
表10 TBIL、IBIL、NEUT%、NBR对重度UC的预测价值
Tab.10 Predictive value of TBIL, IBIL, NEUT% and NBR for severe UC
指标 | AUC | 标准误 | P值 | 95% | 敏感度 | 特异度 | 约登指数 | 界值 | |
---|---|---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||||
TBIL | 0.632 | 0.029 | 0.001 | 0.555 | 0.709 | 0.592 | 0.632 | 0.224 | 10.05 |
IBIL | 0.680 | 0.037 | <0.001 | 0.608 | 0.753 | 0.671 | 0.621 | 0.292 | 8.15 |
NEUT% | 0.634 | 0.040 | 0.001 | 0.555 | 0.712 | 0.737 | 0.511 | 0.248 | 60.45 |
NBR | 0.668 | 0.038 | <0.001 | 0.594 | 0.741 | 0.763 | 0.511 | 0.275 | 5.15 |
指标 | AUC | 标准误 | P值 | 95% | 敏感度 | 特异度 | 约登指数 | 界值 | |
---|---|---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||||
TBIL | 0.593 | 0.036 | 0.011 | 0.523 | 0.664 | 0.565 | 0.643 | 0.208 | 10.35 |
IBIL | 0.617 | 0.036 | 0.002 | 0.547 | 0.687 | 0.580 | 0.652 | 0.231 | 8.25 |
NBR | 0.608 | 0.036 | 0.003 | 0.538 | 0.679 | 0.652 | 0.563 | 0.215 | 5.21 |
表11 TBIL、IBIL、NBR对E3型UC的预测价值
Tab.11 Predictive value of TBIL, IBIL and NBR for E3 type UC
指标 | AUC | 标准误 | P值 | 95% | 敏感度 | 特异度 | 约登指数 | 界值 | |
---|---|---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||||
TBIL | 0.593 | 0.036 | 0.011 | 0.523 | 0.664 | 0.565 | 0.643 | 0.208 | 10.35 |
IBIL | 0.617 | 0.036 | 0.002 | 0.547 | 0.687 | 0.580 | 0.652 | 0.231 | 8.25 |
NBR | 0.608 | 0.036 | 0.003 | 0.538 | 0.679 | 0.652 | 0.563 | 0.215 | 5.21 |
[1] |
Bray C, Bell L, Liang H, et al. Erythrocyte sedimentation rate and c-reactive protein measurements and their relevance in clinical medicine[J]. WMJ, 2016, 115(6):317-321.
pmid: 29094869 |
[2] | 中华医学会消化病学分会炎症性肠病学组. 炎症性肠病诊断与治疗的共识意见(2018年·北京)[J]. 中华炎性肠病杂志, 2018, 2(3): 173-190. |
[3] |
Idelman G, Smith DLH, Zucker SD. Bilirubin inhibits the up-regulation of inducible nitric oxide synthase by scavenging reactive oxygen species generated by the toll-like receptor 4-dependent activation of NADPH oxidase[J]. Redox Biol, 2015, 5:398-408.
doi: S2213-2317(15)00059-2 pmid: 26163808 |
[4] | Chen SC, Lin CP, Hsu HC, et al. Serum bilirubin improves the risk predictions of cardiovascular and total death in diabetic patients[J]. Clin Chim Acta, 2019, 488:1-6. |
[5] | Shastri S, Shinde T, Sohal SS, et al. Idebenone protects against acute murine colitis via antioxidant and anti-inflammatory mechanisms[J]. Int J Mol Sci, 2020, 21(2):484. |
[6] |
Lee Y, Sugihara K, Gillilland MG, et al. Hyaluronic acid-bilirubin nanomedicine for targeted modulation of dysregulated intestinal barrier, microbiome and immune responses in colitis[J]. Nat Mater, 2020, 19(1):118-126.
doi: 10.1038/s41563-019-0462-9 pmid: 31427744 |
[7] |
Kim WS, Song HY, Mushtaq S, et al. Therapeutic potential of gamma-irradiated resveratrol in ulcerative colitis via the anti-inflammatory activity and differentiation of tolerogenic dendritic cells[J]. Cell Physiol Biochem, 2019, 52(5):1117-1138.
doi: 10.33594/000000076 pmid: 30990583 |
[8] | 陈晓天, 霍丽娟. 血清总胆红素水平在炎症性肠病中临床意义的meta分析[J]. 临床荟萃, 2023, 38(8): 677-685. |
[9] | Zhao X, Li L, Li X, et al. The relationship between serum bilirubin and inflammatory bowel disease[J]. Mediators Inflamm, 2019, 2019: 5256460. |
[10] | Zhang MH, Wang HG, Shi YT, et al. Efficacy of serum total bilirubin in predicting the severity of ulcerative colitis: A cross-sectional study[J]. Ann Clin Lab Sci, 2020, 50(2):228-232. |
[11] | Zhang MH, Wang H, Wang HG, et al. Effective immune-inflammation index for ulcerative colitis and activity assessments[J]. World J Clin Cases, 2021, 9(2): 334-343. |
[12] |
Bressenot A, Salleron J, Bastien C, et al. Comparing histological activity indexes in UC[J]. Gut, 2015, 64(9): 1412-1418.
doi: 10.1136/gutjnl-2014-307477 pmid: 25246423 |
[13] | Zhou Z, Zhang Y, Yang X, et al. Clinical significance of novel neutrophilbased biomarkers in the diagnosis and prediction of response to infliximab therapy in crohn’s disease[J]. Front Immunol, 2022, 13:865968. |
[14] |
Matsuoka K, Kanai T. The gut microbiota and inflammatory bowel disease[J]. Semin Immunopathol, 2015, 37(1):47-55.
doi: 10.1007/s00281-014-0454-4 pmid: 25420450 |
[15] |
de Vries HS, Te Morsche RH, Jenniskens K, et al. A functional polymorphism in UGT1A1 related to hyperbilirubinemia is associated with a decreased risk for Crohn's disease[J]. J Crohns Colitis, 2012, 6(5): 597-602.
doi: 10.1016/j.crohns.2011.11.010 pmid: 22398043 |
[16] |
Papatheodoridis GV, Hamilton M, Mistry PK, et al. Ulcerative colitis has an aggressive course after orthotopic liver transplantation for primary sclerosing cholangitis[J]. Gut, 1998, 43(5):639-644.
doi: 10.1136/gut.43.5.639 pmid: 9824344 |
[17] |
Fujii M, Inoguchi T, Sasaki S, et al. Bilirubin and biliverdin protect rodents against diabetic nephropathy by downregulating NAD(P)H oxidase[J]. Kidney Int, 2010, 78(9):905-919.
doi: 10.1038/ki.2010.265 pmid: 20686447 |
[18] | Zucker SD, Vogel ME, Kindel TL, et al. Bilirubin prevents acute DSS-induced colitis by inhibiting leukocyte infiltration and suppressing upregulation of inducible nitric oxide synthase[J]. Am J Physiol Gastrointest Liver Physiol, 2015, 309(10):G841-854. |
[19] | Longhi MS, Vuerich M, Kalbasi A, et al. Bilirubin suppresses Th17 immunity in colitis by upregulating CD39[J]. JCI Insight, 2017, 2(9):e92791. |
[20] |
Rocuts F, Zhang X, Yan J, et al. Bilirubin promotes de novo generation of T regulatory cells[J]. Cell Transplant, 2010, 19(4):443-451.
doi: 10.3727/096368909X484680 pmid: 20021735 |
[21] | Zheng JD, He Y, Yu HY, et al. Unconjugated bilirubin alleviates experimental ulcerative colitis by regulating intestinal barrier function and immune inflammation[J]. World J Gastroenterol, 2019, 25(15):1865-1878. |
[22] | 陈影影, 甄玲玲, 费素娟. 血清总胆红素及胆碱酯酶与活动期溃疡性结肠炎之间的关系[J]. 胃肠病学和肝病学杂志, 2018, 27(10):1152-1156. |
[23] | He Y, Yu H, Ge Y, et al. Bacterial β-glucuronidase alleviates dextran sulfate sodium-induced colitis in mice: A possible crucial new diagnostic and therapeutic target for inflammatory bowel disease[J]. Biochem Biophys Res Commun, 2019, 513(2):426-433. |
[24] | Zhou K, Jiang M, Liu Y, et al. Effect of bile pigments on the compromised gut barrier function in a rat model of bile duct ligation[J]. PLoS One, 2014, 9(6):e98905. |
[25] | Zhao X, Li L, Li X, et al. The relationship between serum bilirubin and inflammatory bowel disease[J]. Mediators Inflamm, 2019: 5256460. |
[1] | 黄宇玲, 张欣悦, 荣萍萍, 杨文琦, 曹新营, 邢彩耐, 王志军, 刘宁. Non-HDL-C/HDL-C和NHR与冠状动脉病变严重程度的相关性[J]. 临床荟萃, 2024, 39(2): 115-120. |
[2] | 陈晓天, 霍丽娟. 血清总胆红素水平在炎症性肠病中临床意义的meta分析[J]. 临床荟萃, 2023, 38(8): 677-685. |
[3] | 辛燕红, 郎桂艳, 陈子为, 王东玉. 中性粒细胞-淋巴细胞比值和血小板-淋巴细胞比值预测急性轻型缺血性脑卒中患者认知障碍的价值[J]. 临床荟萃, 2023, 38(6): 504-509. |
[4] | 刘彬, 翟桂兰, 孙巨峰. 中性粒细胞计数联合血尿酸对急性一氧化碳中毒患者心肌损伤的预测价值[J]. 临床荟萃, 2023, 38(3): 245-249. |
[5] | 王珍珍, 赵仕一, 冯鸶然, 马博清. 中性粒细胞和淋巴细胞比值预测2型糖尿病患者微量白蛋白尿的价值[J]. 临床荟萃, 2022, 37(9): 808-812. |
[6] | 李扬帆, 李健. 61例视神经脊髓炎谱系疾病临床特点、NLR、ELR对疾病严重程度的影响[J]. 临床荟萃, 2022, 37(5): 431-436. |
[7] | 王家琦, 高曼, 张飞飞, 李英肖, 党懿, 齐晓勇. 中性粒细胞与淋巴细胞比值联合GRACE评分对急性STEMI患者PCI术后发生院内主要不良心血管事件的预测价值[J]. 临床荟萃, 2022, 37(5): 412-417. |
[8] | 齐玉敏, 王友军. 新生儿胆汁淤积性黄疸血清胆红素水平与肠道菌群失调的相关性[J]. 临床荟萃, 2022, 37(12): 1117-1121. |
[9] | 吴昊, 李静. RDW、NLR、D-二聚体联合检测对急性胰腺炎病情的预测价值[J]. 临床荟萃, 2021, 36(6): 504-508. |
[10] | 刘佳丽, 谢荣, 李雪莲, 刘晓惠. 中性粒细胞/淋巴细胞比值与IgA肾病Lee氏分级、牛津分型的相关性分析[J]. 临床荟萃, 2021, 36(5): 432-435. |
[11] | 金晖, 刘尚全. 2型糖尿病患者血清胆红素水平与颈动脉斑块的相关性[J]. 临床荟萃, 2021, 36(4): 340-343. |
[12] | 鲍欣然, 哈敏文. NLR、PLR、CEA在晚期非小细胞肺癌预后中的价值[J]. 临床荟萃, 2021, 36(2): 139-143. |
[13] | 佟晶晶1,施克新2,冷飞2,李凤萍2. 血清胆红素水平与2型糖尿病视网膜病变的相关性[J]. 临床荟萃, 2020, 35(9): 816-822. |
[14] | 周晔1,金庸1,王学鹏1,陈艳曙2a,徐淼2a,刘佳宁2b,杨茜2b,励丽2a. 基线非结合胆红素对肥胖人群早期生活方式减重达标的切点预测[J]. 临床荟萃, 2020, 35(9): 811-815. |
[15] | 高美玲1,王小梅2. RDW、NLR、hs-CRP检测对急性胰腺炎严重程度的评估价值[J]. 临床荟萃, 2020, 35(8): 724-726. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||