风险评估模型预测人工肝治疗肝衰竭患者发生静脉血栓栓塞症的价值分析
DOI: 10.3969/j.issn.1001-5256.2023.03.019
Value of a risk assessment model in predicting venous thromboembolism in patients with liver failure after artificial liver support therapy
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摘要:
目的 探讨风险评估模型对人工肝治疗肝衰竭患者静脉血栓栓塞症(VTE)发生风险的预测价值。 方法 回顾性选取2018年3月—2021年12月于南京大学医学院附属鼓楼医院行人工肝治疗的肝衰竭患者184例,其中并发VTE组患者41例,未并发VTE患者(对照组)143例。比较两组患者临床资料,并采用Caprini风险评估模型对两组患者进行评分及风险分级。计量资料两组间比较采用t检验;计数资料两组间比较采用χ2检验;等级资料两组间比较采用Mann-Whitney U秩和检验。采用Logistic回归分析人工肝治疗肝衰竭患者发生VTE的独立危险因素。采用受试者工作特征曲线(ROC曲线)分析Caprini量表评分、多因素预测模型及二者联合对VTE的预测价值。 结果 并发VTE组患者Caprini量表评分为(4.39±1.10)分,明显高于对照组(3.12±1.04)分(t=6.805, P<0.001)。两组患者Caprini量表危险度分级存在明显差异(Z=-4.872, P<0.001),并发VTE的患者中,高危、极高危组占比更高。单因素分析结果显示,并发VTE组与对照组患者在年龄(t=6.400,P<0.001)、置管方式(χ2=14.413,P<0.001)、人工肝治疗次数(Z=-4.720,P<0.001)、活动情况(Z=-6.282,P<0.001)、合并感染(χ2=33.071,P<0.001)、D-二聚体(t=8.746,P<0.001)、28 d死亡率(χ2=5.524,P=0.022)比较差异均有统计学意义。多因素分析结果显示,人工肝治疗次数(X1)(OR=0.251, 95%CI: 0.111~0.566, P=0.001)、活动情况(X2)(OR=0.122, 95%CI: 0.056~0.264, P<0.001)、D-二聚体(X3)(OR=2.921, 95%CI: 1.114~7.662, P=0.029)为影响肝衰竭人工肝治疗患者VTE发生的独立危险因素。个体预测概率方程为P=1/[1+e-(7.425-1.384X1-2.103X2+1.072X3)]。ROC曲线分析结果显示,Caprini评分曲线下面积为0.802(95%CI: 0.721~0.882, P<0.001),多因素模型曲线下面积为0.768(95%CI: 0.685~0.851, P<0.001),二者联合运用曲线下面积为0.957(95%CI: 0.930~0.984, P<0.001)。 结论 Caprini风险评估模型对人工肝治疗肝衰竭患者VTE发生风险具有较高的预测效能,联合多因素预测模型后可更为显著地提高对VTE的预测价值。 Abstract:Objective To investigate the value of a risk assessment model in predicting venous thromboembolism (VTE) in patients with liver failure after artificial liver support therapy. Methods A retrospective analysis was performed for the clinical data of 124 patients with liver failure who received artificial liver support therapy in Affiliated Drum Tower Hospital of Nanjing University Medical School from March 2019 to December 2021, among whom there were 41 patients with VTE (observation group) and 143 patients without VTE (control group). Related clinical data were compared between the two groups, and the Caprini risk assessment model was used for scoring and risk classification of the patients in both groups. The t-test was used for comparison of continuous data between two groups; the chi-square test was used for comparison of categorical data between two groups; the Mann-Whitney U rank sum test was used for comparison of ranked data between two groups. The logistic regression analysis was used to investigate the independent risk factors for VTE in patients with liver failure after artificial liver support therapy. The receiver operating characteristic (ROC) curve was used to investigate the value of Caprini score and the multivariate predictive model used alone or in combination in predicting VTE. Results The observation group had a significantly higher Caprini score than the control group (4.39±1.10 vs 3.12±1.04, t=6.805, P < 0.001). There was a significant difference between the two groups in risk classification based on Caprini scale (P < 0.05), and the patients with high risk or extremely high risk accounted for a higher proportion among the patients with VTE. The univariate analysis showed that there were significant differences between the two groups in age (t=6.400, P < 0.001), catheterization method (χ2=14.413, P < 0.001), number of times of artificial liver support therapy (Z=-4.720, P < 0.001), activity (Z=-6.282, P < 0.001), infection (χ2=33.071, P < 0.001), D-dimer (t=8.746, P < 0.001), 28-day mortality rate (χ2=5.524, P=0.022). The multivariate analysis showed that number of times of artificial liver support therapy (X1) (odds ratio [OR]=0.251, 95% confidence interval [CI]: 0.111-0.566, P=0.001), activity (X2) (OR=0.122, 95%CI: 0.056-0.264, P < 0.001), D-dimer (X3) (OR=2.921, 95%CI: 1.114-7.662, P=0.029) were independent risk factors for VTE in patients with liver failure after artificial liver support therapy. The equation for individual predicted probability was P=1/[1+e-(7.425-1.384X1-2.103X2+1.072X3)]. The ROC curve analysis showed that Caprini score had an area under the ROC curve of 0.802 (95%CI: 0.721-0.882, P < 0.001), and the multivariate model had an area under the ROC curve of 0.768 (95%CI: 0.685-0.851, P < 0.001), while the combination of Caprini score and the multivariate model had an area under the ROC curve of 0.957 (95%CI: 0.930-0.984, P < 0.001). Conclusion The Caprini risk assessment model has a high predictive efficiency for the risk of VTE in patients with liver failure after artificial liver support therapy, and its combination with the multivariate predictive model can significantly improve the prediction of VTE. -
Key words:
- Liver Failure /
- Venous Thromboembolism /
- Liver, Artificial /
- Risk Factors /
- Models, Statistical
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表 1 两组患者Caprini量表评分及危险分级比较
Table 1. Comparison of Caprini scale score and risk classification between two groups
组别 例数 Caprini评分
(分)危险度分级[例(%)] 低危组 中危组 高危组 极高危组 并发VTE组 41 4.39±1.10 1(2.44) 9(21.95) 19(46.34) 12(29.27) 对照组 143 3.12±1.04 37(25.87) 53(37.06) 41(28.67) 12(8.39) 统计值 t=6.805 Z=-4.872 P值 <0.001 <0.001 表 2 人工肝治疗肝衰竭患者发生VTE的单因素分析
Table 2. Univariate analysis of VTE in patients with liver failure undergoing artificial liver therapy
项目 并发VTE组(n=41) 对照组(n=143) 统计值 P值 性别[例(%)] χ2=0.037 0.848 男 31(75.61) 106(74.13) 女 10(24.39) 37(25.87) 年龄(岁) 63.84±8.32 54.75±7.93 t=6.400 <0.001 文化程度[例(%)] Z=0.129 0.720 初中及以下 15(36.59) 48(33.57) 高中及以上 26(63.41) 95(66.43) BMI(kg/m2) 22.37±2.38 22.02±2.15 t=0.897 0.371 空腹血糖(mmol/L) 5.33±1.20 5.49±1.41 t=0.661 0.510 吸烟[例(%)] χ2=0.066 0.797 是 16(39.02) 59(41.26) 否 25(60.98) 84(58.74) 置管方式[例(%)] χ2=14.413 <0.001 颈静脉置管 5(12.20) 64(44.76) 股静脉置管 36(87.80) 79(55.24) 置管有无使用肝[例(%)] χ2=0.329 0.566 有 8(19.51) 34(23.78) 无 33(80.49) 109(76.22) 促凝治疗[例(%)] χ2=0.218 0.641 有 31(75.61) 113(79.02) 无 10(24.39) 30(20.98) 人工肝治疗次数[例(%)] Z=-4.720 <0.001 <3次 12(29.27) 97(67.83) 3~5次 20(48.78) 39(27.27) ≥6次 9(21.95) 7(4.90) 肝衰竭病因[例(%)] Z=-0.552 0.581 病毒性肝炎 33(80.48) 111(77.62) 自身免疫性肝病 5(12.20) 13(9.09) 药物性肝炎 3(7.32) 14(9.79) 其他 0(0.00) 5(3.50) 合并感染[例(%)] χ2=33.071 <0.001 是 11(26.83) 108(75.52) 否 30(73.17) 35(24.47) 活动情况[例(%)] Z=-6.282 <0.001 自由活动 0(0.00) 65(45.45) 每天下床<4 h 8(19.51) 39(27.27) 每天下床<1 h 18(43.90) 21(14.69) 绝对卧床 15(36.59) 18(12.59) 肝性脑病[例(%)] Z=-0.499 0.618 无 23(56.10) 85(59.44) Ⅰ~Ⅱ级 16(39.02) 55(38.46) Ⅲ~Ⅳ级 2(4.88) 3(2.10) TBil(μmol/L) 228.94±58.32 235.46±60.35 t=0.614 0.540 ALT(U/L) 265.94±60.39 287.39±71.54 t=1.749 0.082 D-二聚体(μg/L) 985.62±215.63 649.06±226.49 t=8.746 <0.001 纤维蛋白原(g/L) 1.46±0.49 1.54±0.52 t=0.879 0.380 28 d生存情况[例(%)] χ2=5.524 0.022 死亡 10(24.39) 15(10.49) 存活 31(75.61) 128(89.51) 人工肝模式[例(%)] Z=-0.301 0.763 血浆置换 22(53.66) 81(56.64) 持续血液滤过 13(31.71) 36(25.17) 血浆置换+持续血液滤过 6(14.63) 23(16.08) 表 3 人工肝治疗肝衰竭患者发生VTE的多因素分析
Table 3. Multivariate analysis of VTE in patients with liver failure undergoing artificial liver therapy
变量 B值 SE Wald P值 OR 95%CI 人工肝治疗次数 -1.384 0.416 11.068 0.001 0.251 0.111~0.566 活动情况 -2.103 0.394 28.490 <0.001 0.122 0.056~0.264 D-二聚体 1.072 0.492 4.747 0.029 2.921 1.114~7.662 -
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