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预测静脉曲张存在及大小的多变量模型的验证

Validation of a multivariate model predicting presence and size of varices.

作者信息

Burton James R, Liangpunsakul Suthat, Lapidus Jodi, Giannini Edoardo, Chalasani Naga, Zaman Atif

机构信息

Division of Gastroenterology and Hepatology, University of Colorado Health Sciences University, Denver, CO 80262, USA.

出版信息

J Clin Gastroenterol. 2007 Jul;41(6):609-15. doi: 10.1097/01.mcg.0000225669.84099.04.

DOI:10.1097/01.mcg.0000225669.84099.04
PMID:17577118
Abstract

BACKGROUND

A model developed by our group identified low platelets and advanced Child-Pugh class (CPC) as being associated with large varices.

GOALS

To validate a defined cut-off of platelets < or =80,000/microL in CPC-A for large varices and platelets < or =90,000/microL in CPC-B/C for any varices.

STUDY

Validation cohorts consisted of patients with cirrhosis undergoing screening for varices from Oregon Health and Science University (n=152), Indiana University (n=252), and Genoa, Italy (n=101). Similar clinical and laboratory data were collected as for the original cohort. To assess the ability of these cut-offs to predict presence of large and any varices, sensitivity, specificity, positive and negative predictive values, likelihood ratios, and the c-statistic were measured.

RESULTS

The validation cohorts were statistically different from the original cohort with regards to CPC and prevalence of large varices. Combining the original (n=301) and validation cohorts resulted in a negative predictive value of 92.1% for platelets < or =80,000/microL in CPC-A for large varices and positive predictive value of 80.1% for platelets < or =90,000/microL in CPC-B/C for any varices. Combining the 4 cohorts yielded a c-statistic of 0.67 (95% confidence interval: 063-0.72). No other factors such as splenomegaly and Model for End-Stage Liver Disease score were identified as significant.

CONCLUSIONS

This study confirms the validity of a previous model identifying low platelets and advanced CPC class as predictors of large varices. Despite combining the cohorts, no other risk factors were identified.

摘要

背景

我们团队开发的一个模型确定低血小板计数和晚期Child-Pugh分级(CPC)与大静脉曲张有关。

目的

验证CPC-A级中血小板计数≤80,000/μL对大静脉曲张的界定阈值,以及CPC-B/C级中血小板计数≤90,000/μL对任何静脉曲张的界定阈值。

研究

验证队列包括来自俄勒冈健康与科学大学(n = 152)、印第安纳大学(n = 252)以及意大利热那亚(n = 101)接受静脉曲张筛查的肝硬化患者。收集了与原始队列相似的临床和实验室数据。为评估这些阈值预测大静脉曲张和任何静脉曲张存在的能力,测量了敏感性、特异性、阳性和阴性预测值、似然比以及c统计量。

结果

验证队列在CPC和大静脉曲张患病率方面与原始队列存在统计学差异。将原始队列(n = 301)和验证队列合并后,CPC-A级中血小板计数≤80,000/μL对大静脉曲张的阴性预测值为92.1%,CPC-B/C级中血小板计数≤90,000/μL对任何静脉曲张的阳性预测值为80.1%。合并4个队列得出c统计量为0.67(95%置信区间:0.63 - 0.72)。未发现脾肿大和终末期肝病模型评分等其他因素具有显著性。

结论

本研究证实了先前模型的有效性,该模型将低血小板计数和晚期CPC分级确定为大静脉曲张的预测指标。尽管合并了队列,但未发现其他风险因素。

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