Evidence map›Paper›PMID 41868015›Full record

ArticleInfection and drug resistance2026

Construction of a Diagnostic Model for Pneumocystis Jirovecii Pneumonia in HIV-Negative Patients Based on Single-Center Patient Data.

Jianghong Liang, Guirun Xiong, Fang Han, Siliang Zhuge

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Article in Infection and drug resistance, 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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5 · Who and what money

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4 authors.

Jianghong LiangDepartment of Emergency Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0004-9936-7757
Guirun XiongDepartment of Emergency Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0002-7632-4274
Fang HanDepartment of Emergency Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China.
Siliang ZhugeDepartment of Emergency Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Given the rising incidence, acute onset of Pneumocystis jirovecii pneumonia (PJP) in HIV-negative patients, and the limitations of existing diagnostic methods (poor sensitivity, low accessibility, and difficulty distinguishing infection from colonization), this study aims to develop and validate a diagnostic prediction model for PJP in this population. Methods: A retrospective observational study was conducted on hospitalized patients with suspected PJP at Zhejiang Provincial People's Hospital from 2017 to 2022. Based on the inclusion and exclusion criteria, 115 HIV-negative patients were enrolled, including 37 with confirmed PJP and 78 with PJP ruled out. Clinical data including age, gender, comorbidities, laboratory indicators, and treatment history were collected. The LASSO method was used to screen predictive variables for constructing a model, which was internally validated via Bootstrap resampling and visualized as a nomogram. Results: A 7-variable PJP diagnostic prediction model was constructed following LASSO variable screening. The model exhibited good performance in distinguishing whether HIV-negative patients were afflicted with PJP, with an area under the ROC curve (AUC) of 0.895 (95% CI: 0.834-0.956). The calibration curve revealed high consistency between predicted and actual probabilities, and decision curve analysis demonstrated its superior clinical net benefit over all-intervention and no-intervention strategies. Bootstrap internal validation yielded a stable AUC of 0.895 (95% CI: 0.831-0.947) with consistent calibration. Conclusion: This study established a predictive model for Pneumocystis jirovecii pneumonia (PJP) in HIV-negative patients, and this effort is clinically meaningful. However, due to several limitations of the present study, it should be emphasized that the final nomogram only serves as a supplement to, rather than a replacement for, existing diagnostic approaches. The findings of this study warrant further validation in future multicenter or prospective investigations.

Indexed as

diagnosisHIV-negative patientspneumocystis jirovecii pneumoniapredictive model

Identifiers

PMID41868015
PMCPMC13003986

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