Evidence map›Paper›PMID 38087343›Full record

ArticleBMC medicine2023

Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting.

Diane Pople, Theodore Kypraios, Tjibbe Donker, Nicole Stoesser, Anna C Seale, Ryan George, Andrew Dodgson, Rachel Freeman, Russell Hope, Ann Sarah Walker and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. 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
0.3field-weighted citation impact, top 52% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
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 7 institutions in 3 countries.

Diane PopleHCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK. diane.pople@ukhsa.gov.uk.
Theodore KypraiosSchool of Mathematical Sciences, University Park, University of Nottingham, Nottingham, NG7 2RD, UK.
Tjibbe DonkerUniversity Medical Center Freiburg, Institute for Infection Prevention and Hospital Epidemiology, Breisacher Strasse, 79106, Freiburg im Breisgau, Germany.
Nicole StoesserNuffield Department of Medicine, University of Oxford, Oxford, UK.
Anna C SealeUniversity of Warwick, Warwick, UK.
Ryan GeorgeManchester University NHS Foundation Trust, Manchester, UK.
Andrew DodgsonUK Health Security Agency, Manchester Public Health Laboratory, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK.
Rachel FreemanIQVIA, The Point, 37 North Wharf Road, London, W2 1AF, UK.
Russell HopeHCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Ann Sarah WalkerNuffield Department of Medicine, University of Oxford, Oxford, UK.
Susan HopkinsNIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK.
Julie RobothamHCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
UK Health Security AgencyUniversity of Oxford · GBIQVIA (United Kingdom) · GBManchester Royal Infirmary · GBManchester University NHS Foundation Trust · GBUniversity Medical Center Freiburg · DEUniversity of Nottingham · GB

Funding

National Institute for Health Research Health Protection Research Unit NIHR200915
6 · The paper itself

Abstract

backgroundGlobally, detections of carbapenemase-producing Enterobacterales (CPE) colonisations and infections are increasing. The spread of these highly resistant bacteria poses a serious threat to public health. However, understanding of CPE transmission and evidence on effectiveness of control measures is severely lacking. This paper provides evidence to inform effective admission screening protocols, which could be important in controlling nosocomial CPE transmission.

methodsCPE transmission within an English hospital setting was simulated with a data-driven individual-based mathematical model. This model was used to evaluate the ability of the 2016 England CPE screening recommendations, and of potential alternative protocols, to identify patients with CPE-colonisation on admission (including those colonised during previous stays or from elsewhere). The model included nosocomial transmission from colonised and infected patients, as well as environmental contamination. Model parameters were estimated using primary data where possible, including estimation of transmission using detailed epidemiological data within a Bayesian framework. Separate models were parameterised to represent hospitals in English areas with low and high CPE risk (based on prevalence).

resultsThe proportion of truly colonised admissions which met the 2016 screening criteria was 43% in low-prevalence and 54% in high-prevalence areas respectively. Selection of CPE carriers for screening was improved in low-prevalence areas by adding readmission as a screening criterion, which doubled how many colonised admissions were selected. A minority of CPE carriers were confirmed as CPE positive during their hospital stay (10 and 14% in low- and high-prevalence areas); switching to a faster screening test pathway with a single-swab test (rather than three swab regimen) increased the overall positive predictive value with negligible reduction in negative predictive value.

conclusionsUsing a novel within-hospital CPE transmission model, this study assesses CPE admission screening protocols, across the range of CPE prevalence observed in England. It identifies protocol changes-adding readmissions to screening criteria and a single-swab test pathway-which could detect similar numbers of CPE carriers (or twice as many in low CPE prevalence areas), but faster, and hence with lower demand on pre-emptive infection-control resources. Study findings can inform interventions to control this emerging threat, although further work is required to understand within-hospital transmission sources.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeCross InfectionEnterobacteriaceae InfectionsBacterial ProteinsBayes Theorembeta-LactamasesHospitalsHumansBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenemase-producing EnterobacteralesMathematical modelNosocomial transmissionScreening

Identifiers

PMID38087343
PMCPMC10717398
OpenAlexW4389612581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.