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[CAPRA-S评分在我们的环境中是预测根治性前列腺切除术后生化复发、转移和死亡的有效工具吗?]

[Is CAPRA-S score a valid tool in our environment to predict biochemical recurrence, metastasis and death after radical prostatectomy?].

作者信息

Bengió Rubén G, Arribillaga Leandro, Bengió Verónica, Montedoro Ariel, García Önto H, Epelde Javier, Cordero Esteban, Oulton Guillermo, Bengió Rubén H

机构信息

Centro Urológico Profesor Bengió. Córdoba. Argentina.

出版信息

Arch Esp Urol. 2016 Nov;69(9):621-626.

PMID:27845693
Abstract

OBJECTIVES

To perform an external validation of CAPRA-S Score to determine prediction of biochemical recurrence, metastasis and death by PCa after RP in Argentinian population.

METHODS

216 patients were studied. The probability of the score to predict biochemical recurrence after RP was analyzed by the Cox proportional method. Biochemical recurrence, metastasis and cancer specific free survivals were determined by Kaplan method. The accuracy of CAPRA-S score to predict biochemical recurrence, metastasis and death by PCa was made in accordance with Harrells concordance index.

RESULTS

Median follow up was 74 months. Biochemical recurrence index increased proportionally with the increment of CAPRA-S score. In the stratification of patients in low, intermediate or high risk, biochemical recurrence free rates were 85%, 54% and 4% respectively. Concordance index (C-Index) for biochemical progression, metastasis and death by PCa were 0.85, 0.90 and 0.90 respectively.

CONCLUSIONS

CAPRA-S score is an easily applicable tool and has high predictive accuracy to determine biochemical recurrence, metastasis and death by PCa probabilities in our population. Concordance Index in these variables was higher than 0.85.

摘要

目的

对CAPRA-S评分进行外部验证,以确定其对阿根廷人群前列腺癌根治术后生化复发、转移和死亡的预测情况。

方法

对216例患者进行研究。采用Cox比例法分析该评分预测前列腺癌根治术后生化复发的概率。采用Kaplan法确定生化复发、转移和癌症特异性无进展生存期。根据Harrells一致性指数评估CAPRA-S评分预测前列腺癌生化复发、转移和死亡的准确性。

结果

中位随访时间为74个月。生化复发指数随CAPRA-S评分的增加而呈比例增加。在低、中、高风险患者分层中,无生化复发率分别为85%、54%和4%。前列腺癌生化进展、转移和死亡的一致性指数(C指数)分别为0.85、0.90和0.90。

结论

CAPRA-S评分是一种易于应用的工具,在我们的人群中,对于确定前列腺癌生化复发、转移和死亡概率具有较高的预测准确性。这些变量的一致性指数高于0.85。

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