• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

癌症患者中心静脉导管相关血栓形成预测列线图的建立与验证:一项回顾性巢式病例对照研究

Establishment and validation of a predictive nomogram for central venous catheter-related thrombosis in cancer patients: a retrospective nested case-control study.

作者信息

Wang Xuexing, Dai Xiao, He Yuan, Chu Jie, Wang Yufeng

机构信息

Department of Oncology, Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, Yunnan, China.

Cadre Medical Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

出版信息

Front Oncol. 2024 Aug 16;14:1418273. doi: 10.3389/fonc.2024.1418273. eCollection 2024.

DOI:10.3389/fonc.2024.1418273
PMID:39220644
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11361954/
Abstract

BACKGROUND

Catheter-related thrombosis (CRT) is a common complication for patients who receive central venous catheter (CVC) placement. This study investigated the risk factors for CRT and developed a nomogram for CRT prediction among cancer patients.

METHODS

This nested case-control study was conducted in the Third Affiliated Hospital of Kunming Medical University between January 2019 and February 2021. Univariable and multivariable logistic regression analyses were used to identify the risk factors for CRT. A nomogram was developed to predict CRT. Receiver operating curves (ROC), calibration curves, and decision curves were used to evaluate the performance of the nomogram in the training and validation sets.

RESULTS

A total of 4,691 cancer patients were included in this study. Among them, 355 (7.57%) had CRT, and 70% of CRTs occurred in the first week of insertion. Among the 3,284 patients in the training set, the multivariable analysis showed that nine characteristics were independently associated with CRT, and a nomogram was constructed based on the multivariable analysis. The ROC analysis indicated good discrimination in the training set (area under the curve [AUC] = 0.832, 95% CI: 0.802-0.862) and the testing set (AUC = 0.827, 95% CI: 0.783-0.871) for the CRT nomogram. The calibration curves showed good calibration abilities, and the decision curves indicated the clinical usefulness of the prediction nomograms.

CONCLUSION

The validated nomogram accurately predicts CRT occurrence in cancer patients. This model may assist clinicians in developing treatment plans for each patient.

摘要

背景

导管相关血栓形成(CRT)是接受中心静脉导管(CVC)置入的患者常见的并发症。本研究调查了CRT的危险因素,并为癌症患者制定了CRT预测列线图。

方法

本巢式病例对照研究于2019年1月至2021年2月在昆明医科大学第三附属医院进行。采用单变量和多变量逻辑回归分析确定CRT的危险因素。制定了一个列线图来预测CRT。采用受试者操作曲线(ROC)、校准曲线和决策曲线评估列线图在训练集和验证集中的性能。

结果

本研究共纳入4691例癌症患者。其中,355例(7.57%)发生CRT,70%的CRT发生在置管的第一周。在训练集的3284例患者中,多变量分析显示9个特征与CRT独立相关,并基于多变量分析构建了列线图。ROC分析表明,CRT列线图在训练集(曲线下面积[AUC]=0.832,95%CI:0.802-0.862)和测试集(AUC=0.827,95%CI:0.783-0.871)中具有良好的区分能力。校准曲线显示出良好的校准能力,决策曲线表明预测列线图具有临床实用性。

结论

经过验证的列线图能够准确预测癌症患者CRT的发生。该模型可能有助于临床医生为每位患者制定治疗方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/90676736e101/fonc-14-1418273-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/8dfe9b9c8356/fonc-14-1418273-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/b4962b4e6607/fonc-14-1418273-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/7bf3da6d9273/fonc-14-1418273-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/84d6c7a6ddde/fonc-14-1418273-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/90676736e101/fonc-14-1418273-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/8dfe9b9c8356/fonc-14-1418273-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/b4962b4e6607/fonc-14-1418273-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/7bf3da6d9273/fonc-14-1418273-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/84d6c7a6ddde/fonc-14-1418273-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/90676736e101/fonc-14-1418273-g005.jpg

相似文献

1
Establishment and validation of a predictive nomogram for central venous catheter-related thrombosis in cancer patients: a retrospective nested case-control study.癌症患者中心静脉导管相关血栓形成预测列线图的建立与验证:一项回顾性巢式病例对照研究
Front Oncol. 2024 Aug 16;14:1418273. doi: 10.3389/fonc.2024.1418273. eCollection 2024.
2
Risk factors analysis and the establishment of nomogram prediction model for PICC-related venous thrombosis in patients with lymphoma: a double-center cohort-based case-control study.淋巴瘤患者经外周静脉穿刺中心静脉置管相关静脉血栓形成的危险因素分析及列线图预测模型的建立:一项基于双中心队列的病例对照研究
Front Oncol. 2024 Mar 15;14:1347297. doi: 10.3389/fonc.2024.1347297. eCollection 2024.
3
Development and validation of a nomogram for catheter-related thrombosis prediction in children with central venous catheter: a retrospective observational study.中文译文:中心静脉导管相关血栓形成预测列线图的开发和验证:一项回顾性观察研究。
BMC Pediatr. 2024 Aug 20;24(1):534. doi: 10.1186/s12887-024-05008-2.
4
Construction and validation of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine learning study.癌症患者中心静脉通路装置导管相关血栓形成风险的列线图预测模型的构建与验证:一项前瞻性机器学习研究
J Thromb Thrombolysis. 2025 Feb;58(2):220-231. doi: 10.1007/s11239-024-03045-3. Epub 2024 Oct 3.
5
[Risk factors analysis of central venous catheter-related thrombosis in critically ill patients and development of nomogram prediction model].[危重症患者中心静脉导管相关血栓形成的危险因素分析及列线图预测模型的构建]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Sep;33(9):1047-1051. doi: 10.3760/cma.j.cn121430-20210712-01044.
6
Development and validation of a nomogram model for central venous access device-related thrombosis in hospitalized children.住院患儿中心静脉置管相关血栓形成的列线图模型的建立与验证。
Eur J Pediatr. 2023 Nov;182(11):4909-4919. doi: 10.1007/s00431-023-05078-x. Epub 2023 Aug 22.
7
[Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis].[脓毒症重症监护病房患者下肢深静脉血栓形成早期发生预测模型的构建与验证]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2024 May;36(5):471-477. doi: 10.3760/cma.j.cn121430-20231117-00985.
8
Construction of a nomogram risk prediction model for PICC-related venous thrombosis and its application.构建 PICC 相关静脉血栓形成风险预测模型及其应用。
Asian J Surg. 2024 Jan;47(1):107-111. doi: 10.1016/j.asjsur.2023.05.043. Epub 2023 Jun 9.
9
Exploration of the diagnostic capacity of PSAMR combined with PI-RADS scoring for clinically significant prostate cancer and establishment and validation of the Nomogram prediction model.探讨 PSAMR 联合 PI-RADS 评分对临床显著前列腺癌的诊断能力,并建立和验证列线图预测模型。
J Cancer Res Clin Oncol. 2023 Oct;149(13):11309-11317. doi: 10.1007/s00432-023-05008-2. Epub 2023 Jun 27.
10
Development and Validation of a New Clinical Prediction Model of Catheter-Related Thrombosis Based on Vascular Ultrasound Diagnosis in Cancer Patients.基于血管超声诊断的癌症患者导管相关血栓形成新临床预测模型的开发与验证
Front Cardiovasc Med. 2020 Oct 26;7:571227. doi: 10.3389/fcvm.2020.571227. eCollection 2020.

本文引用的文献

1
The oxylipin analog CS585 prevents platelet activation and thrombosis through activation of the prostacyclin receptor.类氧化脂素 CS585 通过激活前列环素受体来防止血小板激活和血栓形成。
Blood. 2023 Nov 2;142(18):1556-1569. doi: 10.1182/blood.2023020622.
2
Risks factors and outcomes for isolated catheter-related deep venous thrombosis in patients undergoing allogeneic hematopoietic stem cell transplantation.异基因造血干细胞移植患者孤立性导管相关深部静脉血栓形成的风险因素和结局。
Thromb Res. 2023 Sep;229:1-6. doi: 10.1016/j.thromres.2023.06.017. Epub 2023 Jun 16.
3
The Association of Vasopressor Administration through a Midline Catheter with Catheter-related Complications.
中线导管给药与导管相关并发症的关联。
Ann Am Thorac Soc. 2023 Jul;20(7):1003-1011. doi: 10.1513/AnnalsATS.202209-814OC.
4
Daily point-of-care ultrasound-assessment of central venous catheter-related thrombosis in critically ill patients: a prospective multicenter study.危重症患者中心静脉导管相关血栓形成的每日床旁超声评估:一项前瞻性多中心研究。
Intensive Care Med. 2023 Apr;49(4):401-410. doi: 10.1007/s00134-023-07006-x. Epub 2023 Mar 9.
5
All HER2-negative breast cancer patients need gBRCA testing: cost-effectiveness and clinical benefits.所有 HER2 阴性乳腺癌患者均需要进行 gBRCA 检测:成本效益和临床获益。
Br J Cancer. 2023 Feb;128(4):638-646. doi: 10.1038/s41416-022-02111-y. Epub 2022 Dec 23.
6
Machine learning algorithm as a prognostic tool for venous thromboembolism in allogeneic transplant patients.机器学习算法作为异基因移植患者静脉血栓栓塞的预后工具。
Transplant Cell Ther. 2023 Jan;29(1):57.e1-57.e10. doi: 10.1016/j.jtct.2022.10.007. Epub 2022 Oct 20.
7
Catheter-Directed Thrombolysis vs Anticoagulation in Patients With Acute Intermediate-High-risk Pulmonary Embolism: The CANARY Randomized Clinical Trial.急性中高危肺栓塞患者的导管直接溶栓与抗凝治疗:CANARY 随机临床试验。
JAMA Cardiol. 2022 Dec 1;7(12):1189-1197. doi: 10.1001/jamacardio.2022.3591.
8
Development and validation of a prediction model of catheter-related thrombosis in patients with cancer undergoing chemotherapy based on ultrasonography results and clinical information.基于超声结果和临床信息的癌症化疗患者导管相关性血栓形成预测模型的建立与验证。
J Thromb Thrombolysis. 2022 Oct;54(3):480-491. doi: 10.1007/s11239-022-02693-7. Epub 2022 Aug 16.
9
A prediction model for central venous catheter-related thrombosis in patients with newly-diagnosed acute myeloid leukemia: A derivation cohort analysis.初诊急性髓系白血病患者中心静脉导管相关性血栓形成的预测模型:推导队列分析。
Eur J Intern Med. 2022 Jul;101:68-75. doi: 10.1016/j.ejim.2022.04.025. Epub 2022 May 5.
10
Venous thromboembolism associated with central venous catheters in patients with cancer: From pathophysiology to thromboprophylaxis, areas for future studies.癌症患者中心静脉导管相关的静脉血栓栓塞症:从病理生理学到血栓预防,未来研究领域。
J Thromb Haemost. 2021 Nov;19(11):2659-2673. doi: 10.1111/jth.15487. Epub 2021 Aug 26.