Evidence map›Paper›PMID 30755175›Full record

Observational studyBMC infectious diseases2019

Epidemiology and risk factors for nosocomial infection in the respiratory intensive care unit of a teaching hospital in China: A prospective surveillance during 2013 and 2015.

Linchuan Wang, Kai-Ha Zhou, Wei Chen, Yan Yu, Si-Fang Feng

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Incidence of Urinary Tract Infection Among Patients: Systematic Review and Meta-Analysis.Inquiry : a journal of medical care organization, provision and financing
    Pooled it
  4. Global Incidence of Surgical Site Infection Among Patients: Systematic Review and Meta-Analysis.Inquiry : a journal of medical care organization, provision and financing
    Pooled it
  5. Total and excess bed-days in people with diabetes in Australia.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Article
  6. Observational
  7. Review
  8. Epidemiology, risk factors, and antimicrobial resistance of nosocomial infections in the intensive care unit trauma patients: A cross-sectional study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
    Article
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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.

Linchuan WangDepartment of Clinical Laboratory of The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Kai-Ha ZhouDepartment of Clinical Laboratory of Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Wei ChenDepartment of Clinical Laboratory of The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Yan YuDepartment of Clinical Laboratory of Honghui Hospital, Xi'an JiaotongUniversity, Xi'an, Shaanxi Province, China. yu.yan74@163.com.ORCID http://orcid.org/0000-0002-9618-1699
Si-Fang FengDepartment of Respiratory Intensive Care Unit of The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China. 568646799@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the epidemiology and risk factors for nosocomial infection (NI) in the Respiratory Intensive Care Unit (RICU) of a teaching hospital in Northwest China.

methodsAn observational, prospective surveillance was conducted in the RICU from 2013 to 2015. The overall infection rate, distribution of infection sites, device-associated infections and pathogen in the RICU were investigated. Then, the logistic regression analysis was used to test the risk factors for RICU infection.

resultsIn this study, 102 out of 1347 patients experienced NI. Among them, 87 were device-associated infection. The overall prevalence of NI was 7.57% with varied rates from 7.19 to 7.73% over the 3 years. The lower respiratory tract (43.1%), urinary tract (26.5%) and bloodstream (20.6%) infections accounted for the majority of infections. The device-associated infection rates of urinary catheter, central catheter and ventilator were 9.8, 7.4 and 7.4 per 1000 days, respectively.The most frequently isolated pathogens were Staphylococcus aureus (20.9%), Klebsiella pneumoniae (16.4%) and Pseudomonas aeruginosa (10.7%). Multivariate analysis showed that the categories D or E of Average Severity of Illness Score (ASIS), length of stay (10-30, 30-60, ≥60 days), immunosuppressive therapy and ventilator use are the independent risk factors for RICU infection with an adjusted odds ratio (OR) of 1.65 (95% CI: 1.15~2.37), 5.22 (95% CI: 2.63~10.38)), 2.32 (95% CI: 1.19~4.65), 8.93 (95% CI: 3.17~21.23), 31.25 (95% CI: 11.80~63.65)) and 2.70 (95% CI: 1.33~5.35), respectively.

conclusionA relatively low and stable rate of NI was observed in our RICU through year 2013-2015. The ASIS-D、E, stay ≥10 days, immunosuppressive therapy and ventilator use are the independent risk factors for RICU infection.

Indexed as

Hospitals, TeachingIntensive Care UnitsCatheterization, Central VenousChinaCross InfectionFemaleHumansIncidenceKlebsiella pneumoniaeMaleMiddle AgedProspective StudiesPseudomonas aeruginosaRisk FactorsStaphylococcal InfectionsStaphylococcus aureusNosocomial infectionRespiratory intensive care unitRisk factors

Identifiers

PMID30755175
PMCPMC6373110

What OpenQuestion holds

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Registered trials

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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.