Evidence map›Paper›PMID 42211663›Full record

ArticleFrontiers in cellular and infection microbiology2026

Risk prediction of pneumocystis jirovecii pneumonia in kidney transplant recipients using a clinical nomogram.

Qu Liu, Zhenghui Wang, Yujiao Song, Lanlan Liu, Shuang Qiu, Xinxin Niu, Jie Liu, Hailong Jin, Qing Zhang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qu Liu *Department of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Zhenghui Wang *Laboratory Department, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Yujiao Song *Oncology Clinical Development, Johnson & Johnson (J&J) Innovative Medicine Research & Development, Beijing, China.
Lanlan LiuLaboratory Department, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Shuang QiuDepartment of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Xinxin NiuDepartment of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Jie LiuDepartment of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Hailong JinDepartment of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Qing ZhangDepartment of Organ Transplantation, The Third Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

Kidney TransplantationNomogramsPneumocystis cariniiPneumonia, PneumocystisTransplant RecipientsAdultChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk Factorskidney transplantationnomogrampneumocystis jirovecii pneumoniapredictionrisk factors

Identifiers

PMID42211663
PMCPMC13212257

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