Evidence map›Paper›PMID 37550791›Full record

ArticleAntimicrobial resistance and infection control2023

Comparison of microbial colonization rates between central venous catheters and peripherally inserted central catheters.

Vassiliki Pitiriga, John Bakalis, Kalliopi Theodoridou, Evangelia Dimitroulia, George Saroglou, Athanasios Tsakris

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Vassiliki PitirigaDepartment of Microbiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Street, 11527, Athens, Greece.
John BakalisDepartment of Internal Medicine, Metropolitan Hospital, 9 Ethnarchou Makariou Street, 18547, Athens, Greece.
Kalliopi TheodoridouDepartment of Microbiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Street, 11527, Athens, Greece.
Evangelia DimitrouliaDepartment of Microbiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Street, 11527, Athens, Greece.
George SaroglouDepartment of Internal Medicine, Metropolitan Hospital, 9 Ethnarchou Makariou Street, 18547, Athens, Greece.
Athanasios TsakrisDepartment of Microbiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Street, 11527, Athens, Greece. atsakris@med.uoa.gr.
National and Kapodistrian University of Athens · GRMetropolitan Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral venous catheters (CVCs) and peripherally inserted central catheters (PICCs), have been widely used as intravascular devices in critically ill patients. However, they might evoke complications, such as catheter colonization that has been considered as predisposing factor for central line-associated bloodstream infections (CLABSIs). Although numerous studies have compared the risk of bloodstream infections between PICCs and CVCs, comparative studies on their colonization rates are limited.

objectivesThe episodes of catheter colonization in critically ill patients with CVCs or PICCs were retrospectively analysed during a two-year period in a Greek tertiary care hospital and colonization rates, microbial profiles and antimicrobial susceptibility patterns were compared.

methodsClinical and laboratory data of consecutive hospitalized critically-ill patients who underwent PICC and CVC placement between May 2017-May 2019 were analysed. All catheters were examined by the semiquantitative culture technique for bacterial pathogens, either as a routine process after catheter removal or after suspicion of infection. Species identification and antimicrobial resistance patterns were determined by the Vitek2 automated system.

resultsDuring the survey period a total of 122/1187 (10.28%) catheter colonization cases were identified among CVCs and 19/639 (2.97%) cases among PICCs (p = 0.001). The colonization rate was 12.48/1000 catheter-days for the CVC group and 1.71/1000 catheter-days for the PICC group (p < 0.001). The colonization rate per 1000 catheter-days due to multidrug-resistant organisms (MDROs) was 3.85 in all study cases, 7.26 (71/122) in the CVC group and 0.63 (7/19) in the PICC group (p < 0.001). Within the CVC group, the most common microorganism isolated was MDR Acinetobacter baumannii (n = 38, 31.1%) followed by MDR Klebsiella pneumoniae (n = 20, 16.4%). In the PICC group, the predominant microorganism isolated was Candida spp. (n = 5, 23.8%) followed by MDR K. pneumoniae and MDR A. baumannii in equal numbers (n = 3, 14.2%).

conclusionPICC lines were associated with significantly lower colonization rates comparing to the CVC ones. In addition, patterns of microbial colonization revealed a trend over the predominance of MDR gram-negatives in CVCs suggesting that PICCs might be a safer alternative for prolonged inpatient intravascular access. Prevention programs directed by local microbial ecology may diminish catheter colonization rates and CLABSIs.

Indexed as

Anti-Infective AgentsCatheterization, Central VenousCatheter-Related InfectionsCentral Venous CathetersSepsisCritical IllnessHumansRetrospective StudiesRisk FactorsAnti-Infective AgentsBloodstream infectionCatheterizationCentral line-associated bloodstream infectionCentral venous catheterColonizationPeripherally inserted central catheter

Identifiers

PMID37550791
PMCPMC10405474
OpenAlexW4385632121

What OpenQuestion holds

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LicenceCC BY
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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.