Evidence map›Paper›PMID 40457216›Full record

Observational studyBMC infectious diseases2025

Variation of healthcare associated infections at a tertiary hospital in Southwest China over a 5-year period (2019-2023): a retrospective observational study.

Danyan Liang, Wei Liu, Yao Zhong, Jun Yang, Lulin Chen

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Danyan Liang *The Second Nanning People's Hospital, Nanning, People's Republic of China.
Wei Liu *Guangxi University of Science and Technology, Liuzhou, People's Republic of China.
Yao ZhongThe Second Nanning People's Hospital, Nanning, People's Republic of China.
Jun YangThe Second Nanning People's Hospital, Nanning, People's Republic of China.
Lulin ChenThe Second Nanning People's Hospital, Nanning, People's Republic of China. cll5515@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated infections (HAIs), which are associated with prolonged hospitalization and increased mortality, remain a global challenge. The COVID-19 pandemic paradoxically reduced some HAIs through enhanced hygiene measures but exacerbated others due to resource diversion, with effects after policy changes remaining unclear. Therefore, this study analyzed HAIs distribution, pathogenic microorganisms distribution, and antibiotic susceptibility capturing the period surrounding strict COVID-19 control measures in a southwest China tertiary hospital.

methodsWe conducted a retrospective study at a tertiary hospital in southwest China from 2019 to 2023. Data were extracted from real-time surveillance system, where HAIs were initially diagnosed by clinicians and subsequently verified by infection control personnel. The HAI incidence rate was calculated per 1000 hospital stays, and negative-binomial regression was used to compare incidence rates across years.

resultsThis study enrolled 2808 HAI cases, with 1665 males and 1143 females, averaging 61.37 years old. The incidence rates of HAIs from 2019 to 2023 were 1.75, 1.12, 0.98, 1.31, and 1.30 per 1000 hospital stays, respectively. Hematology (323, 11.50%), cardiology (309, 11.00%), and neurology (262, 9.33%) were the top three departments with the highest HAI rates. Lower respiratory tract (1198, 42.66%), bloodstream (419, 14.92%), and urinary tract (406, 14.46%) were the most common HAI sites. Klebsiella pneumoniae (173, 15.22%), Escherichia coli (155, 13.63%), and Acinetobacter baumannii (136, 11.96%) were the most frequent pathogenic microorganism. Acinetobacter baumannii was resistant to most antibiotics. Klebsiella pneumoniae was most resistant to cefuroxime Axetil, cefuroxime and ceftriaxone. Escherichia coli was most resistant to sulfamethoxazole and trimethoprim, ceftriaxone and cefuroxime. These three pathogenic microorganisms were all susceptible to tigecycline.

conclusionsThe incidence rates of HAIs fluctuated over the years, peaking in 2019, suggesting potential shifts in infection control dynamics. Klebsiella pneumoniae, Escherichia coli, and Acinetobacter baumannii were the predominant pathogens, and tigecycline may be considered as a potential option against these pathogens. The study highlights the importance of enhancing infection control measures in high-risk departments and sites, optimizing antibiotic stewardship, and continuously monitoring HAI trends to inform evidence-based infection control policies. CLINICAL TRIAL: Not applicable.

Indexed as

Cross InfectionTertiary Care CentersAdultAgedAnti-Bacterial AgentsChinaCOVID-19FemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesSARS-CoV-2Anti-Bacterial AgentsAntimicrobial resistanceCOVID-19Healthcare associated infectionNosocomial infectionPathogenic microorganism

Identifiers

PMID40457216
PMCPMC12128370

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.