Suppr超能文献

血源性播散性类鼻疽病的影像学表现及临床特征。

Imaging and clinical manifestations of hematogenous dissemination in melioidosis.

机构信息

Department of Radiology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.

Department of Pathology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.

出版信息

BMC Med Imaging. 2024 Nov 1;24(1):296. doi: 10.1186/s12880-024-01471-6.

Abstract

BACKGROUND

Although there is a high incidence of hematogenous infections in melioidosis, a tropical infectious disease, there are few systematic analyses of hematogenous melioidosis in imaging articles. A comprehensive clinical and imaging evaluation of hematogenous melioidosis be conducted in order to achieve early diagnosis of the disease.

MATERIALS AND METHODS

We conducted an analysis of 111 cases of melioidosis diagnosed by bacteriological culture between August 2001 and September 2022. The analysis focused on observing the main manifestations of chest imaging and clinical data, including nodules, cavities, consolidation, ground glass opacity(GGO), pleural effusion, centrilobular nodules, and temperature, leucocyte count, diabetes, etc. Our study involved univariate and multivariate analyses to identify significant diagnostic variables and risk predictive factors.

RESULTS

A total of 71.2% (79/111) of melioidosis cases were caused by hematogenous infection, and the most common organ involved was the lungs (88.5%, 100/113). The incidence of sepsis in patients with lung abnormalities was high (73%, 73/100), and the mortality rate of septic shock was 22% (22/100). Univariate analysis showed that the radiologic signs of blood culture-positive cases were more likely to have bilateral pulmonary and subpleural nodules (p = 0.003), bilateral GGO (p = 0.001), bilateral hydrothorax (p = 0.011). The multivariate analysis revealed a significant improvement in the area under the receiver operating characteristic curve (AUC) when comparing the model that included both clinical and radiologic variables to the model with clinical variables alone. The AUC increased from 0.818 to 0.932 (p = 0.012). The most important variables in the logistic regression with backward elimination were found to be nodule, GGO, and diabetes.

CONCLUSION

The combination of CT features and clinical variables provided a valuable and timely warning for blood borne infectious melioidosis.

摘要

背景

尽管热带传染病类鼻疽病的血源感染发生率较高,但在影像学文献中对血源性类鼻疽病的系统分析较少。为实现早期诊断,对血源性类鼻疽病进行全面的临床和影像学评估。

材料与方法

我们对 2001 年 8 月至 2022 年 9 月通过细菌培养诊断的 111 例类鼻疽病患者进行了分析。分析重点观察胸部影像学和临床数据的主要表现,包括结节、空洞、实变、磨玻璃影(GGO)、胸腔积液、小叶中心结节和体温、白细胞计数、糖尿病等。我们的研究采用单变量和多变量分析来确定有意义的诊断变量和风险预测因素。

结果

共有 71.2%(79/111)的类鼻疽病病例为血源感染引起,最常受累的器官是肺部(88.5%,100/113)。肺部异常患者发生败血症的比例较高(73%,73/100),感染性休克的死亡率为 22%(22/100)。单变量分析显示,血培养阳性病例的影像学征象更可能出现双侧肺和胸膜下结节(p=0.003)、双侧 GGO(p=0.001)、双侧胸腔积液(p=0.011)。多变量分析显示,与仅包含临床变量的模型相比,同时包含临床和影像学变量的模型的受试者工作特征曲线(ROC)下面积(AUC)显著提高(p=0.012)。AUC 从 0.818 增加到 0.932。具有向后消除的逻辑回归中最重要的变量是结节、GGO 和糖尿病。

结论

CT 特征与临床变量的结合为血源性传染性类鼻疽病提供了有价值且及时的预警。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1138/11529265/25f201069410/12880_2024_1471_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验