Differentiation of Pneumocystis jirovecii pneumonia from colonization: a clinical decision framework incorporating risk stratification and next-generation sequencing thresholds.
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引用次数: 0
Abstract
Objective: To delineate the clinical differences between Pneumocystis jirovecii pneumonia (PJP) and colonization, identify independent risk factors associated with PJP development, and construct a multidimensional diagnostic model to address the ongoing clinical challenge of accurately distinguishing P. jirovecii infection status in practice.
Materials and methods: This retrospective study analyzed the clinical characteristics, imaging findings, and laboratory parameters of patients who tested positive for P. jirovecii by next-generation sequencing (NGS) at the First Hospital of Jilin University between January 2014 and October 2024. Multivariable logistic regression was performed to determine independent predictors of PJP.
Results: Of the 292 patients included in the analysis (210 diagnosed with PJP and 82 classified as colonized), those with PJP had significantly higher rates of immunosuppression (64.4% vs. 9.9%, P < 0.001) and markedly increased P. jirovecii sequence counts from NGS (median: 1,686 vs. 4, P < 0.001).Human immunodeficiency virus coinfection, decreased lymphocyte count, elevated BDG levels, and increased LDH levels were identified as independent risk factors for PJP. A diagnostic model incorporating these four variables demonstrated excellent predictive capability, yielding an area under the receiver operating characteristic curve of 0.892 (P < 0.001; 95% confidence interval: 0.855-0.929). The optimal NGS sequence count threshold for differentiating PJP from colonization was determined to be 37, achieving a sensitivity of 91% and a specificity of 87.8% (area under the receiver operating characteristic curve: 0.964).
Conclusions: The developed risk prediction model-comprising lymphocyte count, BDG, and LDH levels-facilitates rapid, pre-NGS clinical risk stratification for PJP, enabling prompt and informed therapeutic decision-making. When NGS results yield a P. jirovecii-specific sequence reads below the cutoff value of 37, a definitive diagnosis of PJP is unlikely. However, such findings should be interpreted in the context of the patient's clinical presentation and assessed using the diagnostic model to ensure an accurate evaluation of infection status.
目的:探讨吉氏肺囊虫肺炎(PJP)与定植的临床差异,识别与吉氏肺囊虫肺炎发展相关的独立危险因素,构建多维度诊断模型,以解决实践中准确区分吉氏肺囊虫感染状态的临床挑战。材料与方法:回顾性分析2014年1月至2024年10月吉林大学第一医院新一代测序(NGS)检测出猪卟啉卟啉杆菌阳性患者的临床特征、影像学表现和实验室参数。采用多变量logistic回归确定PJP的独立预测因子。结果:在纳入分析的292例患者中(210例诊断为PJP, 82例归类为定植),PJP患者的免疫抑制率明显更高(64.4% vs. 9.9%)。结论:开发的风险预测模型-包括淋巴细胞计数,BDG和LDH水平-促进了PJP快速,ngs前的临床风险分层,使及时和明智的治疗决策成为可能。当NGS结果产生的pjroveci特异性序列读数低于临界值37时,PJP的明确诊断是不可能的。然而,这些发现应该在患者临床表现的背景下进行解释,并使用诊断模型进行评估,以确保准确评估感染状态。
期刊介绍:
BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.