Evidence map›Paper›PMID 41545940›Full record

ArticleBMC infectious diseases2026

Bacterial distribution and disease burden analysis in hospital-acquired bloodstream infections according to Diagnosis-Related Groups (DRGs) data.

Min Liu, Richun Liu, Zhuobing Liu, Ke He, Ling Chen

Abstract read
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Article in BMC infectious diseases, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Min LiuDepartment of Hospital Infection Control, The Fifth Affiliated Hospital, Sun Yat-sen University, No.52 East Meihua Road, Xiangzhou District, Zhuhai, 519000, China.
Richun LiuDepartment of Hospital Infection Control, The Fifth Affiliated Hospital, Sun Yat-sen University, No.52 East Meihua Road, Xiangzhou District, Zhuhai, 519000, China. liurch9@mail.sysu.edu.cn.
Zhuobing LiuDepartment of Hospital Infection Control, The Fifth Affiliated Hospital, Sun Yat-sen University, No.52 East Meihua Road, Xiangzhou District, Zhuhai, 519000, China.
Ke HeDepartment of Hospital Infection Control, The Fifth Affiliated Hospital, Sun Yat-sen University, No.52 East Meihua Road, Xiangzhou District, Zhuhai, 519000, China.
Ling ChenDepartment of Quality Management and Evaluation, The Fifth Affiliated Hospital, Sun Yat-sen University, No.52 East Meihua Road, Xiangzhou District, Zhuhai, 519000, China. chenl7@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital-acquired bloodstream infections (HA-BSIs) create a heavy burden by prolonging hospitalization and increasing costs. Diagnosis-Related Groups (DRGs) framework helps mitigate this by identifying high-risk patients for targeted control.

methodsA retrospective study was conducted using data from the Fifth Affiliated Hospital of Sun Yat-sen University (2022–2023). The study assessed differences in average length of hospital stay (ALOS) and costs between bloodstream infection (BSI) and non-BSI groups through comprehensive comparisons (overall, major diagnostic category (MDC) and DRG-stratified). Furthermore, the study deeply explored the associations among bacterial distribution, influencing factors and economic burden in high-incidence DRG subgroups.

resultsAmong 133,692 DRG discharge cases, 263 HA-BSI cases (0.20%) were identified. Infected groups showed significantly longer ALOS and higher costs than non-infected groups (p < 0.001), with HA-BSI subgroups also showing this trend (p < 0.001). These cases distributed across 19 MDCs (covering 79 DRGs), with MDCR (25.86%, highest concentration), MDCS (16.35%), and MDCA (5.44%, highest incidence) as key MDCs; DRG concentrations included SR11 (11.41%), RU10 (7.60%), and RR11 (20.41%). Pathogens were predominantly Gram-negative (56.98%), led by Escherichia coli(23.26%) and Klebsiella pneumoniae(12.40%).

conclusionsTo mitigate the disproportionate clinical and economic burden of HA-BSIs on specific patient groups under DRGs, implementing risk-stratified prevention is crucial. Simultaneously, empirical therapy must be optimized to target the predominant Gram-negative pathogens.

Indexed as

BacteremiaBacteriaCost of IllnessCross InfectionDiagnosis-Related GroupsAdultAgedChinaFemaleHumansIncidenceLength of StayMaleMiddle AgedRetrospective StudiesBacteria distributionBloodstream infectionDisease burdenDRGsHospital infection

Identifiers

PMID41545940
PMCPMC12892703

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