Evidence map›Paper›PMID 41514290›Full record

ArticleEuropean journal of medical research2026

Development and validation of a clinical nomogram for predicting methicillin-resistant Staphylococcus aureus in patients with Staphylococcus aureus bacteremia: a retrospective study.

Ting Ao, Yingxiu Huang, Ming Hu, Peng Zhen

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Article in European journal of medical research, 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

Authors and funding

4 authors.

Ting AoDepartment of Infectious Diseases, Beijing Luhe Hospital, Capital Medical University, No. 82, Xinhua South Road, Tongzhou District, Beijing, 101100, China.
Yingxiu HuangDepartment of Infectious Diseases, Beijing Luhe Hospital, Capital Medical University, No. 82, Xinhua South Road, Tongzhou District, Beijing, 101100, China.
Ming HuDepartment of Infectious Diseases, Beijing Luhe Hospital, Capital Medical University, No. 82, Xinhua South Road, Tongzhou District, Beijing, 101100, China.
Peng ZhenDepartment of Infectious Diseases, Beijing Luhe Hospital, Capital Medical University, No. 82, Xinhua South Road, Tongzhou District, Beijing, 101100, China. zhenpeng_1130@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to develop and validate a reliable nomogram based on clinical factors to predict the risk of methicillin-resistant Staphylococcus aureus (MRSA) bacteremia among patients with Staphylococcus aureus bacteremia, addressing the urgency surrounding its management.

methodsAdult patients with Staphylococcus aureus bacteremia diagnosed at Beijing Luhe Hospital affiliated with Capital Medical University between January 2019 and November 2024 were enrolled. Patients were randomly divided into training (70%) and validation (30%) cohorts. Clinical data were analyzed using best subset regression and multifactor logistic regression analyses to screen for risk factors. A model was constructed, and a nomogram was plotted. Model performance was evaluated and internally validated using the area under the curve (AUC), Hosmer-Lemeshow test, calibration curve, and decision curve analysis.

resultsOf the 253 patients, 118 patients (46.6%) had MRSA bacteremia. The nomogram included Intensive Care Unit admission, long-term bedridden, central-venous catheter placement, and application of broad-spectrum antibiotics in the recent 3 months. The receiver-operating characteristic curve showed that the AUC of the nomogram was 0.868 (95%CI [confidence interval] 0.815-0.920) in the training cohort and 0.846 (95%CI 0.755-0.936) in the validation cohort. The calibration plot exhibited high consistency in prediction, and decision curve analysis showed excellent net benefits.

conclusionOur nomogram demonstrates excellent discrimination, calibration, and clinical utility and may thus help clinicians accurately assess the risk of MRSA among patients with Staphylococcus aureus bacteremia.

Indexed as

BacteremiaMethicillin-resistant Staphylococcus aureusNomogramPredictor

Identifiers

PMID41514290
PMCPMC12879330

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