Evidence map›Paper›PMID 39544808›Full record

ArticleAmerican journal of translational research2024

Factors influencing bloodstream infections after immunosuppressive therapy in patients with aplastic anemia: a logistic regression analysis.

Jing Li, Changqing Xue, Gang Liu, Gonggang Gao, Dahai Wei

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Article in American journal of translational research, 2024. 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 authors.

Jing LiDepartment of Laboratory, People's Hospital of Zitong County No. 202 Jinniu Avenue Middle Section, Zitong County, Mianyang 622150, Sichuan, China.
Changqing XueDepartment of Laboratory, Jiangyou City Hospital for Senile Disease 100 Meters West of Huangjin Road, Changzhen, Hanzeng Town, Jiangyou 621700, Sichuan, China.
Gang LiuDepartment of Blood Specialty, People's Hospital of Zitong County No. 202 Jinniu Avenue Middle Section, Zitong County, Mianyang 622150, Sichuan, China.
Gonggang GaoHospital Office, People's Hospital of Zitong County No. 202 Jinniu Avenue Middle Section, Zitong County, Mianyang 622150, Sichuan, China.
Dahai WeiHospital Office, People's Hospital of Zitong County No. 202 Jinniu Avenue Middle Section, Zitong County, Mianyang 622150, Sichuan, China.

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6 · The paper itself

Abstract

objectiveTo analyze the risk factors for bloodstream infection after immunosuppressive therapy in patients with aplastic anemia using logistic regression.

methodsA retrospective analysis was conducted on the clinical data from 70 patients with aplastic anemia admitted to the People's Hospital of Zitong County and the Infectious Disease Hospital in Jiangyou City from March 2011 to March 2023. Patients were divided into two groups based on whether they developed an infection after treatment: the infection group (n = 18) and the non-infection group (n = 52). Risk factors for bloodstream infection following immunosuppressive therapy were analyzed, and the predictive value of independent risk factors was assessed.

resultsUnivariate analysis identified age, diabetes, disease severity, albumin levels, neutrophil count, and concurrent infections before treatment as significant risk factors for bloodstream infection following immunosuppressive therapy (all P<0.05). Multivariate analysis further confirmed that age, diabetes, disease severity, albumin levels, and neutrophil count were independent risk factors for bloodstream infection (all P<0.05). ROC curve analysis revealed that age, diabetes, disease severity, albumin levels, and neutrophil count had area under the curve (AUC) values of 0.678, 0.728, 0.698, 0.740, and 0.739, respectively, in predicting bloodstream infection after immunosuppressive therapy. The sensitivity values were 65.39%, 78.85%, 67.31%, 67.31%, and 76.92%, respectively, while the specificity values were 72.22%, 66.67%, 72.22%, 77.78%, and 61.11%, respectively.

conclusionAge, diabetes, disease severity, albumin levels, and neutrophil count are key factors influencing bloodstream infection after immunosuppressive therapy in patients with aplastic anemia. These findings highlight the need for careful monitoring of these factors during immunosuppressive therapy to reduce the risk of bloodstream infection.

Indexed as

Aplastic anemiabloodstream infectionimmunosuppressive therapy

Identifiers

PMID39544808
PMCPMC11558360

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