Evidence map›Paper›PMID 35566606›Full record

ArticleJournal of clinical medicine2022

Effectiveness of an Active and Continuous Surveillance Program for Intensive Care Units Infections Based on the EPIC III (Extended Prevalence of Infection in Intensive Care) Approach.

Giorgia Montrucchio, Gabriele Sales, Giulia Catozzi, Stefano Bosso, Martina Scanu, Titty Vita Vignola, Andrea Costamagna, Silvia Corcione, Rosario Urbino, Claudia Filippini and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

12 authors at 6 institutions in 2 countries.

Giorgia MontrucchioDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-9341-965X
Gabriele SalesDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.
Giulia CatozziDepartment of Health Sciences, University of Milan, 20122 Milan, Italy.
Stefano BossoDepartment of Anesthesiology and Critical Care, "Cardinal Massaia" Hospital, 14100 Asti, Italy.
Martina ScanuDepartment of Anaesthesia, Critical Care and Emergency, Città Della Salute e Della Scienza Hospital, Corso Dogliotti 14, 10126 Turin, Italy.
Titty Vita VignolaAnesthesia and Intensive Care Unit, San Giovanni Bosco Hospital, 10154 Turin, Italy.
Andrea CostamagnaDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-0231-1545
Silvia CorcioneDepartment of Medical Sciences, Infectious Diseases, University of Turin, 10126 Turin, Italy.
Rosario UrbinoDepartment of Anaesthesia, Critical Care and Emergency, Città Della Salute e Della Scienza Hospital, Corso Dogliotti 14, 10126 Turin, Italy.
Claudia FilippiniDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.
Francesco Giuseppe De RosaDepartment of Medical Sciences, Infectious Diseases, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-8338-0130
Luca BrazziDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-7059-0622
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITUniversity of Turin · ITAzienda Sanitaria Locale di Asti · ITOspedale San Giovanni Bosco · ITTufts University · USUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the effectiveness of the Extended Prevalence of Infection in Intensive Care (EPIC) III data collection protocol as an active surveillance tool in the eight Intensive Care Units (ICUs) of the Intensive and Critical Care Department of the University Hospital of Turin. A total of 435 patients were included in a six-day study over 72 ICU beds. 42% had at least one infection: 69% at one site, 26% at two sites and 5% at three or more sites. ICU-acquired infections were the most common (64%), followed by hospital-associated infections (22%) and community-acquired (20%), considering that each patient may have developed more than one infection type. 72% of patients were receiving at least one antibiotic: 48% for prophylaxis and 52% for treatment. Mortality, the length of ICU and hospital stays were 13%, 14 and 29 days, respectively, being all estimated to be significantly different in patients without and with infection (8% vs. 20%; 4 vs. 20 and 11 vs. 50 (p < 0.001). Our data confirm a high prevalence of infections, sepsis and the use of antimicrobials. The repeated punctual prevalence survey seems an effective method to carry out the surveillance of infections and the use of antimicrobials in the ICU. The use of the European Centre for Disease Prevention and Control (ECDC) definitions and the EPIC III protocol seems strategic to allow comparisons with national and international contexts.

Indexed as

antimicrobial stewardshipbacterialdrug resistanceinfection controlinfectionsintensive care unitpoint prevalence study

Identifiers

PMID35566606
PMCPMC9101920
OpenAlexW4225165963

What OpenQuestion holds

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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.