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Updated: May 31, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Risk prediction of pneumocystis jirovecii pneumonia in kidney transplant recipients using a clinical nomogram
Qu Liu1,2, Zhenghui Wang3, Yujiao Song4
1Department of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Insights
Pneumocystis jirovecii pneumonia (PJP) risk factors in kidney transplant recipients are poorly defined. A new nomogram using CD4+T cell count, CD8/L ratio, glucose, NEU, and CRP can predict PJP, aiding extended prophylaxis decisions.
Area of Science:
- Nephrology
- Infectious Diseases
- Immunology
Background:
- Pneumocystis jirovecii pneumonia (PJP) is a severe opportunistic infection in renal transplant recipients.
- Despite prophylaxis, PJP remains a threat, with undefined risk factors in this population.
- Identifying high-risk patients is crucial for optimizing treatment strategies.
Purpose of the Study:
- To investigate risk factors for PJP in kidney transplant recipients.
- To develop and validate a predictive nomogram for PJP risk.
- To identify patients who may benefit from extended prophylaxis.
Main Methods:
- Retrospective analysis of kidney transplant recipients from DCD or DCBD donors.
- Development of a Cox regression-based nomogram using a training cohort.
- Validation of the nomogram in an independent cohort.
Main Results:
- PJP occurred in 7.4% of 702 patients.
- The nomogram integrated CD4+T cell count, CD8/L ratio, blood glucose, NEU percentage, and CRP.
- The nomogram demonstrated high predictive accuracy (AUC 0.88-0.93) across cohorts.
Conclusions:
- Lower CD4+T cell counts and elevated CD8/L, glucose, NEU, and CRP indicate higher PJP risk.
- The developed nomogram is a practical tool for predicting individualized PJP risk.
- This tool can guide decisions on extended prophylaxis for high-risk kidney transplant recipients.
Background:
Pneumocystis jirovecii pneumonia (PJP) remains a life-threatening opportunistic infection in renal transplant recipients despite universal prophylaxis, with its risk factors in this setting poorly defined. This study aimed to investigate these factors and develop a nomogram to predict PJP risk, identifying patients requiring extended prophylaxis.
Methods:
Demographic characteristics and perioperative outcomes of consecutive patients who underwent kidney transplantation from DCD or DCBD donors at a high-volume kidney transplant center in China between January 2016 and January 2019 were retrospectively analyzed. A nomogram was developed using data from a retrospective training cohort based on a Cox regression model. The model was tested in a validation cohort.
Results:
Among 702 patients, 52 developed postoperative PJP (7.4%). PJP occurred in 38 of 491 patients (7.73%) in the training cohort and in 14 of 211 patients (6.64%) in the validation cohort. The nomogram included the following variables: postoperative CD4+T cell count, CD8/lymphocyte ratio (CD8/L), blood glucose, NEU percentage and CRP ≥ 8μg/mL. The C-statistics and AUC values of the nomogram for PJP prediction were 0.88, 0.93, and 0.89 in the training, validation, and entire cohorts, respectively. The incidence of PJP was significantly higher in the high-risk group than in the low-risk group across all three cohorts (p < 0.001).
Conclusions:
Renal transplant recipients with lower CD4+T cell counts and higher CD8/L, blood glucose, NEU percentage, and CRP levels are at increased risk of PJP. The nomogram may serve as a useful and practical tool for predicting the individualized risk of PJP after kidney transplantation, facilitating the identification of high-risk patients requiring extended prophylaxis.
Related Concept Videos
Kidney Transplant I: Introduction
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Kidney Transplant III: Nursing Management
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Drug Dosing in Renal Diseases: Measurement of Glomerular Filtration Rate
Kidney Transplant II: Surgical Procedure
