Development and validation of a nomogram for predicting CRBSI in hemodialysis: a retrospective cohort study.

IF 2.2 4区 医学 Q2 UROLOGY & NEPHROLOGY
Shan Wu, Fan Dai, Yanhong Wen, Chang Luo, Chuanfang Wu
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引用次数: 0

Abstract

Objectives: To develop and validate of a nomogram for predicting Catheter related bloodstream infection(CRBSI) in patients with maintenance hemodialysis.

Methods: This was a retrospective cohort study.A total of 756 patients underwent hemodialysis between January 2017 to December 2021 in purification center of the Affiliated Hospital of Changsha Central Hospital, University of South China were enrolled in this research.The demographic data, hemodialysis data, laboratory indexes of the patients were analyzed. Univariate analysis and multivariate Logistic regression were used to analyze the influencing factors of CRBSI in hemodialysis patients and a nomogram model was established.Area under the receiver operating characteristic curve(AUC) and Hosmer-Lemeshow(H-L)test were used to verify the discrimination and calibration of the model.

Results: Among the 756 hemodialysis patients,64 patients developed CRBSI, with an incidence rate of 8.5%(64/756).The results of multivariate analysis showed that combined with diabetes mellitus、dialysis age、catheter retention time、C-reactive protein and procalcitonin were independent risk factors for CRBSI in hemodialysis patients(P < 0.05).The receiver operating characteristic curve analysis showed that the AUC of the model was 0.88 and the H-L test results showed that the model had good goodness of fit(χ2 = 5, P = 0.7).The internal validation of the prediction model showed an AUC of 0.82, and the H-L results showed (χ2 = 11, P = 0.2), indicating that the model has a good prediction performance and high accuracy.

Conclusion: An easy-to-use nomogram for prediction of CRBSI in hemodialysis patients is well developed.This risk assessment tool can effectively identify patients at high risk of CRBSI and may be useful for optimizing catheter management.

预测血液透析中CRBSI的nomogram发展和验证:一项回顾性队列研究。
目的:建立并验证一种预测维持性血液透析患者导管相关性血流感染(CRBSI)的nomogram方法。方法:回顾性队列研究。本研究纳入2017年1月至2021年12月华南大学长沙中心医院附属医院净化中心接受血液透析治疗的756例患者。对患者的人口学资料、血液透析资料、实验室指标进行分析。采用单因素分析和多因素Logistic回归分析血透患者CRBSI的影响因素,建立nomogram模型。采用受试者工作特征曲线下面积(AUC)和Hosmer-Lemeshow(H-L)检验对模型的判别和定标进行验证。结果:756例血液透析患者中,64例发生CRBSI,发生率为8.5%(64/756)。多因素分析结果显示,合并糖尿病、透析年龄、置管时间、c反应蛋白、降钙素原是血透患者发生CRBSI的独立危险因素(P 2 = 5, P = 0.7)。预测模型内部验证的AUC为0.82,H-L结果为(χ2 = 11, P = 0.2),说明该模型预测性能好,准确率高。结论:一种易于使用的预测血液透析患者CRBSI的nomogram方法已经成熟。该风险评估工具可有效识别CRBSI高危患者,并可用于优化导管管理。
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
BMC Nephrology
BMC Nephrology UROLOGY & NEPHROLOGY-
CiteScore
4.30
自引率
0.00%
发文量
375
审稿时长
3-8 weeks
期刊介绍: BMC Nephrology is an open access journal publishing original peer-reviewed research articles in all aspects of the prevention, diagnosis and management of kidney and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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