Identifying risk factors for blood culture negative infective endocarditis: An international ID-IRI study

IF 2.9 Q2 INFECTIOUS DISEASES
Mine Filiz , Hakan Erdem , Handan Ankarali , Edmond Puca , Yvon Ruch , Lurdes Santos , Teresa Fasciana , Anna M. Giammanco , Nesrin Ghanem-Zoubi , Xavier Argemi , Yves Hansmann , Rahmet Guner , Gilda Tonziello , Jean-Philippe Mazzucotelli , Najada Como , Sukran Kose , Ayse Batirel , Asuman Inan , Necla Tulek , Abdullah Umut Pekok , Canan Agalar
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Abstract

Background

Blood culture-negative endocarditis (BCNE) is a diagnostic challenge, therefore our objective was to pinpoint high-risk cohorts for BCNE.

Methods

The study included adult patients with definite endocarditis. Data were collected via the Infectious Diseases International Research Initiative (ID-IRI). The study analysing one of the largest case series ever reported was conducted across 41 centers in 13 countries. We analysed the database to determine the predictors of BCNE using univariate and logistic regression analyses.

Results

Blood cultures were negative in 101 (11.65 %) of 867 patients. We disclosed that as patients age, the likelihood of a negative blood culture significantly decreases (OR 0.975, 95 % CI 0.963–0.987, p < 0.001). Additionally, factors such as rheumatic heart disease (OR 2.036, 95 % CI 0.970–4.276, p = 0.049), aortic stenosis (OR 3.066, 95 % CI 1.564–6.010, p = 0.001), mitral regurgitation (OR 1.693, 95 % CI 1.012–2.833, p = 0.045), and prosthetic valves (OR 2.539, 95 % CI 1.599–4.031, p < 0.001) are associated with higher likelihoods of negative blood cultures. Our model can predict whether a patient falls into the culture-negative or culture-positive groups with a threshold of 0.104 (AUC±SE = 0.707 ± 0.027). The final model demonstrates a sensitivity of 70.3 % and a specificity of 57.0 %.

Conclusion

Caution should be exercised when diagnosing endocarditis in patients with concurrent cardiac disorders, particularly in younger cases.

识别血培养阴性感染性心内膜炎的风险因素:国际 ID-IRI 研究
背景血培养阴性心内膜炎(BCNE)是一项诊断难题,因此我们的目标是确定 BCNE 的高危人群。数据通过传染病国际研究计划(ID-IRI)收集。该研究分析了13个国家的41个中心所报告的最大规模的病例系列之一。我们对数据库进行了分析,采用单变量和逻辑回归分析来确定 BCNE 的预测因素。我们发现,随着患者年龄的增长,血液培养呈阴性的可能性明显降低(OR 0.975, 95 % CI 0.963-0.987, p <0.001)。此外,风湿性心脏病(OR 2.036,95 % CI 0.970-4.276,p = 0.049)、主动脉瓣狭窄(OR 3.066,95 % CI 1.564-6.010,p = 0.001)、二尖瓣反流(OR 1.693,95 % CI 1.012-2.833,p = 0.045)和人工瓣膜(OR 2.539,95 % CI 1.599-4.031,p <0.001)与较高的血培养阴性可能性相关。我们的模型可以预测患者属于培养阴性组还是培养阳性组,阈值为 0.104(AUC±SE = 0.707 ± 0.027)。最终模型的灵敏度为 70.3%,特异性为 57.0%。
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
New Microbes and New Infections
New Microbes and New Infections Medicine-Infectious Diseases
CiteScore
10.00
自引率
2.50%
发文量
91
审稿时长
114 days
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