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基于临床宏基因组学识别重症社区获得性肺炎亚组:一项多中心回顾性队列研究

Identifying subgroup of severe community-acquired pneumonia based on clinical metagenomics, a multicenter retrospective cohort study.

作者信息

Wang Mingqiang, Jin Yue, Zhang Wenxiao, Ye Ling, Shao Huanzhang

机构信息

Department of Critical Care Medicine, Xinxiang Medical University, Henan Provincial People's Hospital, Zhengzhou, China.

Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.

出版信息

Front Cell Infect Microbiol. 2025 Jan 7;14:1516620. doi: 10.3389/fcimb.2024.1516620. eCollection 2024.

Abstract

OBJECTIVE

Severe community-acquired pneumonia (sCAP) is one of the major diseases within the ICU. We hypothesize that subtyping sCAP based on simple inflammatory markers, organ dysfunction, and clinical metagenomics results is feasible.

METHOD

In this study, we retrospectively enrolled immunocompetent sCAP patients requiring invasive mechanical ventilation, who underwent clinical metagenomics from 17 medical centers. We collected data on potentially pathogenic species reported by clinical metagenomics and clinical information for all patients. Latent class analysis (LCA) was applied to routine clinical parameters such as gender, age, white blood cell (WBC), lymphocytes, C-reactive protein (CRP), and Procalcitonin (PCT), identifying two optimally fitting models.

RESULTS

A total of 569 patients were enrolled. Compared to class B, class A was characterized by a younger age, higher CRP and PCT levels, and a higher incidence of coagulation dysfunction, liver failure, circulatory failure, and renal failure. However, the mortality rates were similar between the two groups. In class A, more cases of spp. and fewer cases of HSV-1 and spp. were detected. Among the patients in the two phenotypes, 48.7% and 57.5% received corticosteroid treatment, respectively. In the class A, corticosteroid treatment was not associated with patient mortality (unadjusted hazard ratio (HR)=0.988; 95% confidence interval (CI), 0.634-1.541; p=0.959). In contrast, in the class B group, the use of corticosteroids was associated with a reduced mortality rate (adjusted HR=0.719; 95% CI, 0.525-0.986; p=0.04). Additional analysis showed that in class B, methylprednisolone was associated with reduced mortality (adjusted HR=0.61; 95% CI, 0.44-0.86; p=0.005), while dexamethasone was not associated with mortality (adjusted HR=1.4; 95% CI, 0.89-2.22; p=0.148). In addition, after dose conversion, the results showed that higher doses of corticosteroids in class B were associated with increased mortality (adjusted HR=1.01; 95% CI, 1.00-1.01; p=0.005).

CONCLUSION

We identified two classes based on clinical metagenomics and clinical features. Class B exhibited a better response to corticosteroid compared to class A. The rapid identification of these phenotypes could facilitate the screening of sCAP patients responsive to corticosteroid in future prospective clinical trials.

摘要

目的

重症社区获得性肺炎(sCAP)是重症监护病房(ICU)内的主要疾病之一。我们假设基于简单炎症标志物、器官功能障碍和临床宏基因组学结果对sCAP进行亚型分类是可行的。

方法

在本研究中,我们回顾性纳入了需要有创机械通气的免疫功能正常的sCAP患者,这些患者来自17个医疗中心并接受了临床宏基因组学检测。我们收集了临床宏基因组学报告的潜在致病物种的数据以及所有患者的临床信息。对性别、年龄、白细胞(WBC)、淋巴细胞、C反应蛋白(CRP)和降钙素原(PCT)等常规临床参数应用潜在类别分析(LCA),确定了两个最佳拟合模型。

结果

共纳入569例患者。与B类相比,A类的特点是年龄较小、CRP和PCT水平较高,凝血功能障碍、肝衰竭、循环衰竭和肾衰竭的发生率较高。然而,两组的死亡率相似。在A类中,检测到更多的 spp. 病例,而HSV - 1和 spp. 的病例较少。在两种表型的患者中,分别有48.7%和57.5%接受了皮质类固醇治疗。在A类中皮质类固醇治疗与患者死亡率无关(未调整风险比(HR)=0.988;95%置信区间(CI),0.634 - 1.541;p = 0.959)。相比之下,在B类组中,使用皮质类固醇与死亡率降低相关(调整后HR = 0.719;95% CI,0.525 - 0.986;p = 0.04)。进一步分析表明,在B类中,甲泼尼龙与死亡率降低相关(调整后HR = 0.61;95% CI,0.44 - 0.86;p = 0.005),而地塞米松与死亡率无关(调整后HR = 1.4;95% CI,0.89 - 2.22;p = 0.148)。此外,剂量转换后结果显示,B类中较高剂量的皮质类固醇与死亡率增加相关(调整后HR = 1.01;95% CI,1.00 - 1.01;p = 0.005)。

结论

我们基于临床宏基因组学和临床特征确定了两类。与A类相比,B类对皮质类固醇表现出更好的反应。这些表型的快速识别有助于在未来的前瞻性临床试验中筛选出对皮质类固醇有反应的sCAP患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bc4/11753243/7d6330170f25/fcimb-14-1516620-g001.jpg

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