"Predicting the Recurrence of Operable Cervical Cancer Patients Based on Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score and Classical Clinicopathological Parameters br"

作者全名："Jiang, Peng; Kong, Wei; Gong, Chunxia; Chen, Yanlin; Li, Fenglian; Xu, Lingya; Yang, Yang; Gou, Shikai; Hu, Zhuoying"

作者地址："[Jiang, Peng; Kong, Wei; Li, Fenglian; Xu, Lingya; Yang, Yang; Gou, Shikai; Hu, Zhuoying] Chongqing Med Univ, Dept Gynecol, Affiliated Hosp 1, Chongqing, Peoples R China; [Gong, Chunxia] Chongqing Med Univ, Dept Obstet & Gynecol, Women & Childrens Hosp, Chongqing, Peoples R China; [Chen, Yanlin] Chongqing Med Univ, Dept Pathol, Women & Childrens Hosp, Chongqing, Peoples R China"

通信作者："Hu, ZY (通讯作者)，Chongqing Med Univ, Dept Gynecol, Affiliated Hosp 1, Chongqing, Peoples R China."

来源：JOURNAL OF INFLAMMATION RESEARCH

ESI学科分类：IMMUNOLOGY

WOS号：WOS:000855178600001

JCR分区：Q3

影响因子：4.5

年份：2022

卷号：15

期号：　

开始页：5265

结束页：5281

文献类型：Article

关键词：HALP score; nomogram model; predict; cervical cancer; recurrence

摘要："Objective: The purpose of this study was to evaluate the prognostic value of hemoglobin, albumin, lymphocyte, and platelet (HALP) score in patients with operable cervical cancer, and on this basis, combined with classical clinicopathological parameters to predict the recurrence of patients.Methods: A total of 1580 patients with stage IA-IIA cervical cancer were randomly divided into training cohort (n=1054) and validation cohort (n=526) according to the predefined ratio of 2:1. In the training cohort, the receiver operating characteristic (ROC) curve and Youden index were used to determine the optimal threshold of HALP score for predicting cervical cancer recurrence. On this basis, the independent related factors with cervical cancer recurrence were screened through univariate and multivariate Cox regression analysis, and then a nomogram model was further established. The internal and external validation of the model was carried out in the training cohort and the validation cohort respectively through the consistency index (C-index) and calibration curve.Results: ROC curve and Youden index showed that the optimal threshold of HALP score for predicting cervical cancer recurrence was 39.50. Multivariate analysis confirmed that HALP score and some other classic clinicopathological parameters were independently associated with cervical cancer recurrence. Based on the results of multivariate analysis, a nomogram model for predicting cervical cancer recurrence was successfully constructed. The internal and external calibration curves showed that the fitting degree of the model was good, and the C-index (the C-index of the training cohort and the validation cohort were 0.862 and 0.847, respectively) showed that the prediction accuracy of the model proposed in this study was better than other similar models. Conclusion: HALP score may be a novel predictor for predicting the cervical cancer recurrence. Nomogram model based on HALP score and classical clinicopathological parameters can better predict the recurrence of cervical cancer."

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