非社会性念珠菌病临床预测模型的建立与验证:18年回顾性分析

IF 2.9 3区 医学 Q2 INFECTIOUS DISEASES
Infection and Drug Resistance Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI:10.2147/IDR.S480028
Jingwen Zhang, Guoqiang Zhang, JiaJia Wang, Yun Xiao, Xinxin Lu, Xunhong Lan, Yan Zhang, Zhang Dai
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引用次数: 0

摘要

背景:非典型念珠菌血症是一种危及生命的疾病,近年来发病率有所上升。中国目前尚缺乏全面的流行病学数据:方法:本研究对厦门大学附属中山医院 2004 年 1 月 1 日至 2022 年 12 月 31 日收治的患者进行了回顾性队列研究。研究对象包括 205 名确诊为念珠菌血症的患者。此外,我们还将同一科室同期血培养阴性的 303 例患者作为对照组。我们按 7:3 的比例将他们随机分配到训练组和验证组。我们采用最小绝对缩减和选择算子回归、单变量和多变量逻辑回归分析来筛选与院内念珠菌血症相关的独立因素。根据所选变量建立了一个提名图模型。采用接收者操作特征曲线(ROC)、校准图和决策曲线分析(DCA)来评估临床实用性:结果:共报告了 255 例鼻腔念珠菌血症患者,其中白念珠菌占很大比例(91 例,44.39%),其次是副丝状念珠菌(40 例,19.51%)、热带念珠菌(37 例,18.05%)、光念珠菌(23 例,11.22%)和吉利蒙念珠菌(9 例,4.39%)。多器官功能障碍综合征(OR=10.372,95% CI:4.745-24.14 P <0.001)、血清尿素氮增高(OR=1.088,95% CI:1.039-1.144 PP=0.045)、机械通气(OR=4.074,95%CI:1.397-12.77 P=0.012)、中心静脉留置导管(OR=7.422,95%CI:3.189-18.41 PP=0.012)被确定为念珠菌血症的独立危险因素。训练组的提名图模型曲线下面积(AUC)为 0.925(95% CI:0.898-0.952),验证组为 0.946(95% CI:0.881-0.963)。校准曲线显示,概率值与观察值之间的一致性很好。DCA表明,该提名图可能对临床有益:包括多器官功能障碍综合征、血尿素氮升高、白蛋白降低、机械通气、中心静脉留置导管和实体瘤在内的提名图可为临床医生识别鼻腔念珠菌血症提供参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment and Validation of a Nomogram Clinical Prediction Model for Nosocomial Candidemia: An 18-Year Retrospective Analysis.

Background: Nosocomial candidemia is a life-threatening condition, and the incidence has increased in recent years. Thorough epidemiological data is still lacking in China.

Methods: A retrospective cohort study was conducted to investigate the patients admitted to Zhongshan Hospital Xiamen University from 1 January 2004 to 31 December 2022. This study included 205 individuals who were diagnosed with candidemia as subjects. Additionally, 303 cases with blood cultures were negative during the same period and were from the same department as a control group. We randomly assigned them to the training and validation groups in a 7:3 ratio. The least absolute shrinkage and selection operator regression, univariate and multivariate logistic regression analyses were used to filtrate independent factors associated with nosocomial candidemia. A nomogram model was established based on the selected variables. Receiver operating characteristic (ROC) curve, calibration plots and decision curve analysis (DCA) were used to evaluate clinical utility.

Results: Two hundred and five nosocomial candidemia patients were reported, containing a high proportion of Candida albicans (n = 91,44.39%), followed by Candida parapsilosis (n = 40, 19.51%), Candida tropicalis (n = 37,18.05%), Candida glabrata (n = 23, 11.22%) and Candida guilliermondii (n = 9,4.39%). Multiple organ dysfunction syndrome (OR = 10.372, 95% CI: 4.745-24.14 P < 0.001), increased urea nitrogen of serum (OR=1.088,95% CI: 1.039-1.144 P<0.001), decreased albumin of serum (OR = 0.922 95% CI: 0.850-0.997 P=0.045), mechanical ventilation (OR=4.074,95% CI: 1.397-12.77 P=0.012), central venous indwelling catheter (OR=7.422,95% CI: 3.189-18.41 P<0.001) and solid tumor (OR = 3.036 95% CI: 1.276-7.359 P=0.012) were identified as independent risk factors of candidemia. The area under the curve (AUC) of the nomogram model was 0.925 (95% CI: 0.898-0.952) in the training group and 0.946 (95% CI: 0.881-0.963) in the validation group. The calibration curve revealed good agreement between the probability and the observed values. DCA indicated that this nomogram might be clinically beneficial.

Conclusion: The nomogram including multiple organ dysfunction syndrome, elevated blood urea nitrogen, decreased albumin, mechanical ventilation, central venous indwelling catheter and solid tumor could provide reference value to clinicians for identifying nosocomial candidemia.

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来源期刊
Infection and Drug Resistance
Infection and Drug Resistance Medicine-Pharmacology (medical)
CiteScore
5.60
自引率
7.70%
发文量
826
审稿时长
16 weeks
期刊介绍: About Journal Editors Peer Reviewers Articles Article Publishing Charges Aims and Scope Call For Papers ISSN: 1178-6973 Editor-in-Chief: Professor Suresh Antony An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.
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