ArticleMycopathologia2025
The Development of a Prediction Model for In-Hospital Mortality of Pneumocystis Jirovecii Pneumonia among Kidney Transplant Recipients Based on the Trajectory of Absolute Lymphocyte Count.
Article in Mycopathologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio as prognostic indicators inFrontiers in medicine · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
introductionPneumocystis jirovecii pneumonia (PJP) is one of the leading causes of mortality in kidney transplant recipients. Identifying risk factors for mortality in high-risk patients is essential for developing timely and proactive treatment strategies. MATERIALS AND
methodsWe conducted a retrospective analysis of clinical data from kidney transplant recipients who developed PJP progressing to acute respiratory distress syndrome. Baseline patient demographics, laboratory parameters on admission, and especially absolute lymphocyte count (ALC) levels within the first week of hospitalization were collected, along with follow-up data on patient outcomes. We analyzed ALC trajectory to define persistent lymphopenia and employed logistic regression to identify predictors of all-cause in-hospital mortality. A clinical prediction model was subsequently developed and evaluated using a range of performance metrics.
resultsBased on clinical indicators observed after admission, we defined persistent lymphopenia as an ALC below 400/μL for at least four consecutive days. In-hospital mortality was significantly higher in patients with persistent lymphopenia. Logistic regression analysis identified persistent lymphopenia, the C-reactive protein to albumin ratio, and the PaO₂/FiO₂ ratio as significant risk factors for in-hospital mortality. The clinical prediction model constructed from these variables exhibited excellent diagnostic performance and clinical applicability.
conclusionPersistent lymphopenia is a significant risk factor for patient mortality, and the clinical prediction model based on this factor demonstrates good diagnostic performance and clinical applicability.
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