急性心肌梗死后心脏破裂的风险预测模型构建与外部验证

罗雅菲, 戴凯, 李志兵, 等. 急性心肌梗死后心脏破裂的风险预测模型构建与外部验证[J]. 临床心血管病杂志, 2022, 38(2): 107-112. doi: 10.13201/j.issn.1001-1439.2022.02.006
引用本文: 罗雅菲, 戴凯, 李志兵, 等. 急性心肌梗死后心脏破裂的风险预测模型构建与外部验证[J]. 临床心血管病杂志, 2022, 38(2): 107-112. doi: 10.13201/j.issn.1001-1439.2022.02.006
LUO Yafei, DAI Kai, LI Zhibing, et al. Construction and external validation of a risk-prediction model for cardiac rupture after acute myocardial infarction[J]. J Clin Cardiol, 2022, 38(2): 107-112. doi: 10.13201/j.issn.1001-1439.2022.02.006
Citation: LUO Yafei, DAI Kai, LI Zhibing, et al. Construction and external validation of a risk-prediction model for cardiac rupture after acute myocardial infarction[J]. J Clin Cardiol, 2022, 38(2): 107-112. doi: 10.13201/j.issn.1001-1439.2022.02.006

急性心肌梗死后心脏破裂的风险预测模型构建与外部验证

  • 基金项目:
    国家自然科学基金(No:82000234);江西省自然科学基金(No:20202BABL206004)
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Construction and external validation of a risk-prediction model for cardiac rupture after acute myocardial infarction

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  • 目的 回顾性分析急性心肌梗死(AMI)后心脏破裂(CR)患者的临床特征及危险因素,并构建实用风险预测模型并进行独立的外部验证。方法 从南昌大学第一附属医院及南昌大学附属人民医院数据库中选取2013年1月—2020年9月的急性ST段抬高型心肌梗死(STEMI)CR患者126例和非CR患者339例,将南昌大学附属人民医院纳入的患者作为建模组(CR组:86例,非CR组:228例),南昌大学第一附属医院纳入的患者作为验证组(CR组:40例,非CR组:111例)。采用单因素分析和多因素logistic回归分析得出CR的危险因素,根据各危险因素的加权赋分建立CR风险预测模型,通过受试者工作特征(ROC)曲线下面积(AUC)及Hosmer-Lemeshow检验检测模型的区分度和校准度,并在验证组中检验该模型的价值。结果 建模组中多因素logistic回归分析结果显示:年龄≥63岁(OR=2.446,95%CI:1.017~5.881,P=0.046)、女性(OR=2.614,95%CI:1.155~5.917,P=0.021)、收缩压≤120 mmHg(OR=2.569,95%CI:1.121~5.887,P=0.026)、心率≥100次/min(OR=2.532,95%CI:1.055~6.073,P=0.037)、中性粒细胞百分比/白蛋白(NPAR)≥2.2(OR=3.328,95%CI:1.463~7.570,P=0.004)、肌酐≥106μmol/L(OR=2.744,95%CI:1.178~6.392,P=0.019)、Ca2+≤2.2 mmol/L(OR=3.059,95%CI:1.369~6.835,P=0.006)、行急诊PCI(OR=0.442,95%CI:0.198~0.989,P=0.047)、口服β受体阻滞剂(OR=0.268,95%CI:0.118~0.607,P=0.002)是CR的独立影响因素。基于这9个影响因素进行加权后建立了预测模型,总分为9分,患者评分≤4分归为低风险和评分≥5分归为高风险。本研究预测模型的AUC(0.906,95%CI:0.865~0.948,P< 0.001),Hosmer-Lemeshow检验(χ2=14.297,P>0.05),外部验证中AUC(0.785,95%CI:0.696~0.875,P< 0.001),Hosmer-Lemeshow检验(χ2=1.7,P=0.989),结果表明本研究模型对CR有较好的预测价值。结论 高龄、女性、收缩压低、心率快、NPAR升高、肌酐升高、Ca2+浓度降低是AMI后CR的危险因素,行急诊PCI、口服β受体阻滞剂是其保护因素,基于这9个变量建立了CR的风险预测模型,为一线临床医务工作者早期识别高危CR患者,积极实施干预措施,制定正确治疗决策提供了一定的参考依据。
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  • 图 1  建模组(a)和验证组(b)预测CR模型的ROC曲线

    Figure 1.  The ROC curve of predicting CR in modeling group (a) and verification group (b)

    图 2  本模型与既往CR模型ROC曲线比较

    Figure 2.  Comparison of ROC curve between this model and previous model

    表 1  建模组患者一般资料比较

    Table 1.  Comparison of general datas of patients in modeling group  例(%), M(Q1, Q3), X±S

    指标 CR组(86例) 非CR组(228例) P
    年龄/岁 70.80±9.55 61.69±12.58 < 0.001
    女性 41(47.7) 63(27.6) 0.001
    收缩压/mmHg 118.65±23.79 131.57±23.43 < 0.001
    舒张压/mmHg 71.16±14.99 74.58±12.72 0.046
    心率/(次·min-1) 90.30±21.68 81.84±17.92 0.001
    高血压史 51(59.3) 124(54.4) 0.434
    糖尿病史 22(25.6) 59(25.9) 0.957
    脑卒中史 8(9.3) 15(6.6) 0.409
    吸烟史 31(36.0) 106(46.5) 0.096
    饮酒史 15(17.4) 56(24.6) 0.179
    症状发生到就诊时间/h 12(6,24) 8(5,15) 0.053
    合并恶性心律失常 17(19.8) 15(6.6) < 0.001
    Killip分级 < 0.001
        Ⅰ~Ⅱ 66(76.7) 212(93.0)
        Ⅲ~Ⅳ 20(23.3) 16(7.0)
    急诊PCI 27(31.4) 123(53.9) < 0.001
    罪犯血管 0.796
        前降支 28(59.6) 127(60.8)
        回旋支 8(17.0) 28(13.4)
        右冠 11(23.4) 54(25.8)
    白细胞计数/(×109·L-1) 12.23(9.75,15.35) 8.85(6.58,11.48) < 0.001
    中性粒细胞百分比/% 83.35(77.90,87.00) 74.60(65.40,83.60) < 0.001
    白蛋白/(g·L-1) 34.67±4.35 40.42±4.94 < 0.001
    NPAR 2.43(2.08,2.67) 1.78(1.54,2.06) < 0.001
    肌酐/(μmol·L-1) 94.00(74.75,144.25) 77.95(63.98,92.73) < 0.001
    尿酸/(μmol·L-1) 413.50(298.25,511.25) 353.00(289.00,416.00) 0.012
    CK/(U·L-1) 608.00(277.00,1769.00) 315.00(111.25,761.50) < 0.001
    CK-MB/(U·L-1) 64.00(31.00,162.25) 40.50(20.00,87.50) 0.005
    cTnI/(μg·L-1) 14.00(6.00,24.85) 0.32(0.01,2.60) < 0.001
    K+/(mmol·L-1) 4.00(3.73,4.40) 4.02(3.69,4.34) 0.823
    Ca2+/(mmol·L-1) 2.14(2.04,2.24) 2.27(2.16,2.37) < 0.001
    溶栓 6(7.0) 2(0.9) 0.008
    ACEI/ARB 13(15.1) 114(50.0) < 0.001
    他汀类药物 79(91.9) 222(97.4) 0.062
    β受体阻滞剂 19(22.1) 140(61.4) < 0.001
    注:1 mmHg=0.133 kPa。
    下载: 导出CSV

    表 2  建模组多因素logistic回归分析结果

    Table 2.  Results of multivariate logistic regression analysis in the modeling group

    变量 β P OR 95%CI
    年龄≥63岁 0.894 0.046 2.446 1.017~5.881
    女性 0.961 0.021 2.614 1.155~5.917
    NPAR≥2.2 1.202 0.004 3.328 1.463~7.570
    收缩压≤120 mmHg 0.944 0.026 2.569 1.121~5.887
    溶栓 1.390 0.208 4.015 0.461~14.937
    心率≥100次/min 0.929 0.037 2.532 1.055~6.073
    肌酐≥106 μmol/L 1.009 0.019 2.744 1.178~6.392
    Ca2+≤2.2 mmol/L 1.118 0.006 3.059 1.369~6.835
    急诊PCI -0.815 0.047 0.442 0.198~0.989
    口服β受体阻滞剂 -1.316 0.002 0.268 0.118~0.607
    合并恶性心律失常 1.036 0.068 2.819 0.928~8.565
    下载: 导出CSV
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出版历程
收稿日期:  2021-09-14
修回日期:  2021-09-26
刊出日期:  2022-02-13

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