Evidence map›Paper›PMID 35264765›Full record

ArticleJournal of exposure science & environmental epidemiology2022

New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres.

Rafael Manuel Ortí-Lucas, Eugenio Luciano

Open access · bronzeAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. 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
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 1 country.

Rafael Manuel Ortí-LucasResearch group on Public Health and Patient Safety, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain. ortilucas@gmail.com.
Eugenio LucianoDepartment of Preventive Medicine, Hospital Clínico Universitario de Valencia, Valencia, Spain. eug.luciano@gmail.com.
Hospital Clínico Universitario de Valencia · ESValencia Catholic University Saint Vincent Martyr · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt's pivotal to control the presence of legionella in sanitary structures. So, it's important to determine the risk factors associated with Legionella colonization in health care centres. In recent years that is why new diagnostic techniques have been developed.

objectiveTo evaluate risks factors for Legionella colonization using a novel and more sensitive Legionella positivity index.

methodsA total of 204 one-litre water samples (102 cold water samples and 102 hot water samples), were collected from 68 different sampling sites of the hospital water system and tested for Legionella spp. by two laboratories using culture, polymerase chain reaction and a method based on immunomagnetic separation (IMS). A Legionella positivity index was defined to evaluate Legionella colonization and associated risk factors in the 68 water samples sites. We performed bivariate analyses and then logistic regression analysis with adjustment of potentially confounding variables. We compared the performance of culture and IMS methods using this index as a new gold standard to determine if rapid IMS method is an acceptable alternative to the use of slower culture method.

resultsBased on the new Legionella positivity index, no statistically significant differences were found neither between laboratories nor between methods (culture, IMS). Positivity was significantly correlated with ambulatory health assistance (p = 0.05) and frequency of use of the terminal points. The logistic regression model revealed that chlorine (p = 0.009) and the frequency of use of the terminal points (p = 0.001) are predictors of Legionella colonization. Regarding this index, the IMS method proved more sensitive (69%) than culture method (65.4%) in hot water samples. SIGNIFICANCE: We showed that the frequency of use of terminal points should be considered when examining environmental Legionella colonization, which can be better evaluated using the provided Legionella positivity index. This study has implications for the prevention of Legionnaires' disease in hospital settings.

Indexed as

LegionellaLegionnaires' DiseaseChlorineDelivery of Health CareHumansImmunomagnetic SeparationRisk FactorsWaterWater MicrobiologyChlorineWatercolonizationLegionellaLegionnaires’ diseaserapid techniquesrisk factorswater distribution systems

Identifiers

PMID35264765
PMCPMC8906530
OpenAlexW4220949080

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.