Evidence map›Paper›PMID 24069074›Full record

Observational studyDeutsches Arzteblatt international2013

The prevalence of nosocomial and community acquired infections in a university hospital: an observational study.

Ella Ott, Svenja Saathoff, Karolin Graf, Frank Schwab, Iris F Chaberny

Abstract readObservational Study
In one paragraph

Observational study in Deutsches Arzteblatt international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Hospital-acquired infections caused by enterococci: a systematic review and meta-analysis, WHO European Region, 1 January 2010 to 4 February 2020.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Pooled it
  3. 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. Trial
  6. Article
  7. 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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  9. Review
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Analysis of the Presence of the Virulence and Regulation Genes fromInternational journal of environmental research and public health · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Epidemiology of Sepsis Syndrome among Intensive Care Unit Patients at a Tertiary University Hospital in Palestine in 2019.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    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.

Ella OttInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School.
Svenja Saathoff
Karolin Graf
Frank Schwab
Iris F Chaberny

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNosocomial infections (NI) increase morbidity and mortality. Studies of their prevalence in single institutions can reveal trends over time and help to identify risk factors.

methodsIn March and April 2010, data were prospectively recorded from all inpatients at the Hannover Medical School (Germany) except those treated in the pediatric, psychosomatic, and psychiatric services. The data were acquired systematically by chart review and by interviews with the medical staff. Infections were classified according to the definitions of the Centers for Disease Control and Prevention (CDC). Information was obtained on underlying diseases, invasive procedures, the use of antibiotics, devices (the application of specific medical techniques such as drainage, vascular catheters, etc.), and detected pathogens.

resultsOf the 1047 patients studied, 117 (11.2%) had a total of 124 nosocomial infections, while 112 (10.7%) had 122 community-acquired infections. The most common NI were surgical site infections (29%), infections of the gastrointestinal tract (26%) and respiratory tract (19%), urinary tract infections (16%), and primary sepsis (4%). The most common pathogens were Escherichia coli, coagulase-negative staphylococci, Candida spp., Enterococcus spp., and Pseudomonas aeruginosa. Multivariable regression analysis revealed the following independent risk factors for NI: antibiotic treatment in the last 6 months (odds ratio [OR] = 2.9), underlying gastrointestinal diseases (OR = 2.3), surgery in the last 12 months (OR = 1.8), and more than two underlying diseases (OR = 1.7). Each additional device that was used gave rise to an OR of 1.4. Further risk factors included age, length of current or previous hospital stay, trauma, stay on an intensive care unit, and artificial ventilation.

conclusionIn this prevalence study, NI were a common complication. Surgical site infections were the single most common type of NI because of the large number of patients that underwent surgical procedures in our institution. More investigation will be needed to assess the benefit of prevalence studies for optimizing appropriate, effective preventive measures.

Indexed as

Academic Medical CentersAdultAgedBacterial InfectionsCommunity-Acquired InfectionsComorbidityCross InfectionFemaleGermanyHumansMaleMiddle AgedPrevalenceRisk FactorsSurgical Wound InfectionSurvival Analysis

Identifiers

PMID24069074
PMCPMC3782020

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.