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评估心脏移植血管病变风险的预测模型:一项血管内超声研究。

Predictive model to assess risk for cardiac allograft vasculopathy: an intravascular ultrasound study.

作者信息

Mehra M R, Ventura H O, Chambers R, Collins T J, Ramee S R, Kates M A, Smart F W, Stapleton D D

机构信息

Department of Internal Medicine, Ochsner Medical Institutions, New Orleans, Louisiana 70121, USA.

出版信息

J Am Coll Cardiol. 1995 Nov 15;26(6):1537-44. doi: 10.1016/0735-1097(95)00357-6.

Abstract

OBJECTIVES

This study was performed to assess the influence and interdependence of immunologic and nonimmunologic risk factors in the development of cardiac allograft vasculopathy. Another primary objective was to establish a clinically useful model for risk assessment of cardiac allograft vasculopathy that would facilitate identifying those heart transplant recipients likely to have severe intimal proliferation and thereby at greater risk for adverse clinical events.

BACKGROUND

To our knowledge, no comprehensive intravascular ultrasound study has assessed the relative influences of both nonimmunologic and immunologic factors in the development of cardiac allograft vasculopathy, currently the major limitation to long-term cardiac allograft survival.

METHODS

Using a computer-assisted model of stepwise logistic regression, immunologic and nonimmunologic risk factors were evaluated to help identify the development of severe intimal thickening in 101 subjects who underwent intravascular ultrasound. Prospective validation of the findings was performed in a separate consecutive cohort of 37 heart transplant recipients, and the accuracy of this model to predict a relative risk > 1 for the development of severe intimal hyperplasia was assessed.

RESULTS

Significant independent predictors of severe intimal hyperplasia in this model included a donor age > 35 years, a first-year mean biopsy score > 1 (a measure not only of severity of rejection, but also of frequency of insidious rejection) and hypertriglyceridemia at two incremental levels of risk (150 to 250 mg/dl [1.70 to 2.83 mmol/liter] and > 250 mg/dl [2.83 mmol/liter]). Based on the absence (0) or presence (1) of these factors, 12 individual categories of risk were ascertained with increasing relative risks and predicted probabilities for severe intimal hyperplasia. Prospective validation of this model revealed a sensitivity and specificity of 70% and 90%, respectively, and the positive and negative predictive values were 85% and 80%, respectively. Additionally, subjects with severe intimal thickening had a four-fold higher cardiac event rate than those without severe intimal proliferation on intravascular ultrasound.

CONCLUSIONS

This study establishes a clinically useful predictive model that can be applied to individual heart transplant recipients to assess their risk for developing significant cardiac allograft vasculopathy and, thus, aids in the identification of patients at risk for cardiac events in whom closer surveillance and risk factor modification may be warranted.

摘要

目的

本研究旨在评估免疫和非免疫危险因素在心脏移植血管病变发展中的影响及相互依存关系。另一个主要目的是建立一个对心脏移植血管病变进行风险评估的临床实用模型,该模型将有助于识别那些可能发生严重内膜增生从而临床不良事件风险更高的心脏移植受者。

背景

据我们所知,尚无全面的血管内超声研究评估非免疫和免疫因素在心脏移植血管病变发展中的相对影响,而心脏移植血管病变目前是心脏移植长期存活的主要限制因素。

方法

使用逐步逻辑回归的计算机辅助模型,对免疫和非免疫危险因素进行评估,以帮助识别101例行血管内超声检查的受试者中严重内膜增厚的发生情况。在另一组连续的37例心脏移植受者中对研究结果进行前瞻性验证,并评估该模型预测严重内膜增生相对风险>1的准确性。

结果

该模型中严重内膜增生的显著独立预测因素包括供体年龄>35岁、第一年平均活检评分>1(这不仅是排斥反应严重程度的指标,也是隐匿性排斥反应频率的指标)以及甘油三酯血症处于两个递增风险水平(150至250mg/dl[1.70至2.83mmol/L]和>250mg/dl[2.83mmol/L])。根据这些因素的有无(0或1),确定了12种不同的风险类别,严重内膜增生的相对风险和预测概率逐渐增加。对该模型的前瞻性验证显示,敏感性和特异性分别为70%和90%,阳性和阴性预测值分别为85%和80%。此外,血管内超声显示有严重内膜增厚的受试者心脏事件发生率比无严重内膜增生的受试者高四倍。

结论

本研究建立了一个临床实用的预测模型,可应用于个体心脏移植受者,以评估其发生显著心脏移植血管病变的风险,从而有助于识别有心脏事件风险的患者,对这些患者可能需要进行更密切的监测和危险因素调整。

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