Postoperative prognostic nomogram for adult grade II/III astrocytoma in the Chinese Han population.

IF 4.7 3区医学 Q1 MEDICAL INFORMATICS

Health Information Science and Systems Pub Date : 2023-05-04 eCollection Date: 2023-12-01 DOI:10.1007/s13755-023-00223-0

Lijie Wang, Jinling Zhang, Jingtao Wang, Hao Xue, Lin Deng, Fengyuan Che, Xueyuan Heng, Xuejun Zheng, Zilong Lu, Liuqing Yang, Qihua Tan, Yeping Xu, Yanchun Zhang, Xiaokang Ji, Gang Li, Fan Yang, Fuzhong Xue

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引用次数: 0

Abstract

Background: Prognostic models of glioma have been the focus of many studies. However, most of them are based on Western populations. Additionally, because of the complexity of healthcare data in China, it is important to select a suitable model based on existing clinical data. This study aimed to develop and independently validate a nomogram for predicting the overall survival (OS) with newly diagnosed grade II/III astrocytoma after surgery.

Methods: Data of 472 patients with astrocytoma (grades II-III) were collected from Qilu Hospital as training cohort while data of 250 participants from Linyi People's Hospital were collected as validation cohort. Cox proportional hazards model was used to construct the nomogram and individually predicted 1-, 3-, and 5-year survival probabilities. Calibration ability, and discrimination ability were analyzed in both training and validation cohort.

Results: Overall survival was negatively associated with histopathology, age, subtotal resection, multiple tumors, lower KPS and midline tumors. Internal validation and external validation showed good discrimination (The C-index for 1-, 3-, and 5-year survival were 0.791, 0.748, 0.733 in internal validation and 0.754, 0.735, 0.730 in external validation, respectively). The calibration curves showed good agreement between the predicted and actual 1-, 3-, and 5-year OS rates.

Conclusion: This is the first nomogram study that integrates common clinicopathological factors to provide an individual probabilistic prognosis prediction for Chinese Han patients with astrocytoma (grades II-III). This model can serve as an easy-to-use tool to advise patients and establish optimized surveillance approaches after surgery.

Supplementary information: The online version contains supplementary material available at 10.1007/s13755-023-00223-0.

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中国汉族成人II/III级星形细胞瘤的术后预后图。

背景：神经胶质瘤的预后模型一直是许多研究的焦点。然而，他们中的大多数都是以西方人口为基础的。此外，由于中国医疗保健数据的复杂性，在现有临床数据的基础上选择合适的模型很重要。本研究旨在开发并独立验证一种列线图，用于预测新诊断的II/III级星形细胞瘤手术后的总生存率（OS）。方法：收集来自齐鲁医院的472例星形细胞瘤（Ⅱ-Ⅲ级）患者作为训练队列，收集来自临沂市人民医院的250名参与者作为验证队列。Cox比例风险模型用于构建列线图，并分别预测1年、3年和5年的生存概率。在训练和验证队列中分析了校准能力和辨别能力。结果：总生存率与组织病理学、年龄、次全切除、多发性肿瘤、下KPS和中线肿瘤呈负相关。内部验证和外部验证显示出良好的区分性（内部验证的1年、3年和5年生存率的C指数分别为0.791、0.748、0.733和外部验证的0.754、0.735、0.730）。校准曲线显示，预测的1年、3年和5年OS发生率与实际发生率之间具有良好的一致性。结论：这是第一项结合常见临床病理因素的诺模图研究，为中国汉族星形细胞瘤（Ⅱ-Ⅲ级）患者提供个体概率预后预测。该模型可以作为一个易于使用的工具，为患者提供建议，并在手术后建立优化的监测方法。补充信息：在线版本包含补充材料，可访问10.1007/s13755-023-00223-0。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Health Information Science and Systems MEDICAL INFORMATICS-

CiteScore

11.30

自引率

5.00%

发文量

期刊介绍： Health Information Science and Systems is a multidisciplinary journal that integrates artificial intelligence/computer science/information technology with health science and services, embracing information science research coupled with topics related to the modeling, design, development, integration and management of health information systems, smart health, artificial intelligence in medicine, and computer aided diagnosis, medical expert systems. The scope includes: i.) smart health, artificial Intelligence in medicine, computer aided diagnosis, medical image processing, medical expert systems ii.) medical big data, medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, iii.) data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, iv.) development of new architectures and applications for health information systems.