Sun Xiaoyan, Zhang Peng, Zhang Kaiyu
Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Chaoyang District, Changchun, 130021, China.
BMC Infect Dis. 2025 Jul 1;25(1):874. doi: 10.1186/s12879-025-11235-4.
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.
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.
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).
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.
阐述耶氏肺孢子菌肺炎(PJP)与定植之间的临床差异,确定与PJP发生相关的独立危险因素,并构建一个多维诊断模型,以应对在实践中准确区分耶氏肺孢子菌感染状态这一持续存在的临床挑战。
这项回顾性研究分析了2014年1月至2024年10月期间在吉林大学第一医院通过下一代测序(NGS)检测耶氏肺孢子菌呈阳性的患者的临床特征、影像学表现和实验室参数。进行多变量逻辑回归以确定PJP的独立预测因素。
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患者的免疫抑制率显著更高(64.4%对9.9%,P<0.001),且NGS检测到的耶氏肺孢子菌序列数显著增加(中位数:1686对4,P<0.001)。人类免疫缺陷病毒合并感染、淋巴细胞计数降低、BDG水平升高和LDH水平升高被确定为PJP的独立危险因素。包含这四个变量的诊断模型显示出出色的预测能力,受试者操作特征曲线下面积为0.892(P<0.001;95%置信区间:0.855-0.929)。区分PJP与定植的最佳NGS序列数阈值确定为37,灵敏度为91%,特异性为87.8%(受试者操作特征曲线下面积:0.964)。
所建立的风险预测模型——包括淋巴细胞计数、BDG和LDH水平——有助于对PJP进行快速的NGS前临床风险分层,从而实现及时且明智的治疗决策。当NGS结果显示耶氏肺孢子菌特异性序列读数低于37的临界值时,不太可能确诊为PJP。然而,这些结果应结合患者的临床表现进行解读,并使用诊断模型进行评估,以确保准确评估感染状态。