Evidence map›Paper›PMID 38969209›Full record

ArticleThe Journal of hospital infection2024

The drainome: longitudinal metagenomic characterization of wastewater from hospital ward sinks to characterize the microbiome and resistome and to assess the effects of decontamination interventions.

L B Snell, D Prossomariti, A Alcolea-Medina, M Sasson, M Dibbens, N Al-Yaakoubi, G Humayun, T Charalampous, C Alder, D Ward and 7 more

Abstract read
In one paragraph

Article in The Journal of hospital infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

17 authors.

L B SnellDepartment of Infectious Diseases, King's College, London, UK; Directorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK. Electronic address: luke.snell@kcl.ac.uk.
D ProssomaritiDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
A Alcolea-MedinaDepartment of Infectious Diseases, King's College, London, UK; Infection Sciences, Synnovis Analytics LLP, London, UK.
M SassonDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
M DibbensDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
N Al-YaakoubiDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
G HumayunDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
T CharalampousDepartment of Infectious Diseases, King's College, London, UK.
C AlderDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
D WardDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
A Maldonado-BarruecoDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
O AbadioruDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
R BatraDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
G NebbiaDepartment of Infectious Diseases, King's College, London, UK; Directorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
J A OtterDirectorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
J D EdgeworthDepartment of Infectious Diseases, King's College, London, UK; Directorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.
S D GoldenbergDepartment of Infectious Diseases, King's College, London, UK; Directorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital drains and water interfaces are implicated in nosocomial transmission of pathogens. Metagenomics can assess the microbial composition and presence of antimicrobial resistance genes in drains ('the drainome') but studies applying these methods longitudinally and to assess infection control interventions are lacking.

aimTo apply long-read metagenomics coupled with microbiological measurements to investigate the drainome and assess the effects of a peracetic-acid-containing decontamination product.

methodsTwelve-week study in three phases: a baseline phase, an intervention phase of enhanced decontamination with peracetic acid, and a post-intervention phase. Five hospital sink drains on an intensive care unit were sampled twice weekly. Each sample had: (1) measurement of total viable count (TVC); (2) metagenomic analyses including (i) taxonomic classification of bacteria and fungi (ii), antibiotic resistance gene detection, (iii) plasmid identification; and (3) immunochromatographic detection of antimicrobial residues.

findingsOverall TVCs remain unchanged in the intervention phase (+386 cfu/mL, SE 705, P = 0.59). There was a small but significant increase in the microbial diversity in the intervention phase (-0.07 in Simpson's index, SE 0.03, P = 0.007), which was not sustained post-intervention (-0.05, SE 0.03, P = 0.08). The intervention was associated with increased relative abundance of the Pseudomonas genus (18.3% to 40.5% (+22.2%), SE 5.7%, P < 0.001). Extended spectrum β-lactamases were found in all samples, with NDM-carbapenemase found in three drains in six samples. Antimicrobial residues were detected in a large proportion of samples (31/115, 27%), suggesting use of sinks for non-handwashing activities.

conclusionMetagenomics and other measurements can determine the composition of the drainome and assess the effectiveness of decontamination interventions.

Indexed as

DecontaminationHospitalsMetagenomicsWastewaterBacteriaDisinfectantsFungiHumansIntensive Care UnitsLongitudinal StudiesMicrobiotaPeracetic AcidDisinfectantsPeracetic AcidWastewaterDrain microbiomeDrainomeWastewater surveillance

Identifiers

PMID38969209
PMCPMC11825382

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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.