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肾脏病与透析肾移植杂志 ›› 2026, Vol. 35 ›› Issue (4): 313-320.DOI: 10.3969/j.issn.1006⁃298X.2026.04.003

• 论著 • 上一篇    下一篇

淋巴细胞计数动态轨迹在肾移植受者耶氏肺孢子菌肺炎相关急性呼吸窘迫综合征预后预测中的价值

  

  • 出版日期:2026-08-28 发布日期:2026-08-31

Prognostic value of dynamic absolute lymphocyte count trajectories for pneumocystis jirovecii pneumonia⁃associated acute respiratory distress syndrome in renal transplant recipients

  • Online:2026-08-28 Published:2026-08-31

摘要: 目的:利用基于组的轨迹模型 (group⁃based trajectory modeling,GBTM) 识别肾移植受者肺孢子菌肺炎 (Pneumocystis jirovecii pneumonia,PJP) 相关急性呼吸窘迫综合征 (acute respiratory distress syndrome,ARDS) 后入住重症监护病房 (intensive care unit,ICU) 7d 内绝对淋巴细胞计数 (absolute lymphocyte count,ALC) 的动态轨迹,探讨不同轨迹与 30d 全因死亡率的关系。 方法:回顾性纳入 101 例 PJP 相关 ARDS 肾移植受者。运用 GBTM 对 ICU 入院后连续 7d 内 ALC 数据进行轨迹拟合。通过 Kaplan⁃Meier 法绘制 30d 生存曲线,Cox 比例风险回归模型评估不同轨迹组与 30d 死亡风险的关联。并按年龄、性别、总免疫抑制评分等变量进行亚组分析,以验证结果的稳健性。 结果:纳入 101 例患者,中位年龄 44 岁 (34~51 岁), 男性占 76.2%。GBTM 识别出 3 条 ALC 动态轨迹:持续上升组 (Traj⁃1 组 20 例)、稳定中等组 (Traj⁃2 组 45 例) 和持续低水平组 (Traj⁃3 组 36 例)。Traj⁃3 组患者病情更重,炎症标志物水平更高,CD4 + 和 CD8 + 细胞计数更低,接受连续性肾脏替代治疗的比例更高。Kaplan⁃Meier 分析显示,三组 30d 生存率差异显著 (Log⁃rank P=0.004)。多因素 Cox 回归显示,在完全校正模型 (模型 4) 中,Traj⁃3 组的 30d 死亡风险是 Traj⁃2 组的 3.46 倍 (HR=3.46,95% CI 1.38~8.66,P=0.008)。亚组分析证实,该关联在多数临床情境下保持稳健。 结论:在肾移植受者 PJP 相关 ARDS 患者中,ALC 动态轨迹与 30d 死亡风险显著相关,持续低水平轨迹提示不良预后。

关键词: 耶氏肺孢子菌肺炎, 急性呼吸窘迫综合征, 肾移植, 绝对淋巴细胞计数, 基于组的轨迹模型

Abstract: Objective: Group⁃based trajectory modeling (GBTM) was applied to identify the dynamic trajectory of absolute lymphocyte count (ALC) within 7 days after admission to intensive care unit (ICU) in patients with Pneumocystis jirovecii pneumonia (PJP)⁃related acute respiratory distress syndrome (ARDS) in kidney transplant recipients (KTR), and to explore the relationship between different trajectories and 30⁃day all⁃cause mortality. Methods: In this study, a retrospective cohort design was used to include 101 PJP⁃related ARDS renal transplant recipients. GBTM was used to fit the trajectory of ALC data within 7 consecutive days after ICU admission. The 30⁃day survival curve was drawn by Kaplan⁃Meier method, and the Cox proportional hazard regression model was used to evaluate the association between different trajectory groups and 30⁃day mortality risk. Subgroup analysis was performed according to variables such as age, gender, and immunosuppression score to verify the robustness of the results. Results: A total of 101 patients were included, with a median age of 44 years (34-51 years), and 76.2% (77/101) were male. GBTM identified three ALC dynamic trajectories: continuous rising group (Traj⁃1, n=20), stable medium group (Traj⁃2, n=45) and continuous low level group (Traj⁃3, n=36). Patients in the Traj⁃3 group were more severe, with higher inflammatory markers, lower CD4 and CD8 cell counts, and a higher proportion of patients receiving continuous renal replacement therapy (CRRT). Kaplan⁃Meier analysis showed that the 30⁃day survival rate of the three groups was significantly different (Log⁃rank P=0.004). Multivariate Cox regression showed that in the fully adjusted model (Model 4), the 30⁃day mortality risk of Traj⁃3 was 3.46 times that of Traj⁃2 (HR=3.46, 95%CI 1.38-8.66, P=0.008). Subgroup analysis confirmed that the association remained robust in most clinical situations. Conclusion: In patients with PJP⁃related ARDS in renal transplant recipients, ALC dynamic trajectory are significantly associated with 30⁃day mortality risk, and persistent low ALC level was a poor prognostic indicator independent of traditional risk factors.