Cargando…

Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis

BACKGROUND: Resistance to antibiotics is rising and threatens future antibiotic effectiveness. ‘Antibiotic targeting’ ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowi...

Descripción completa

Detalles Bibliográficos
Autores principales: Boateng, Irene, Stuart, Beth, Becque, Taeko, Barrett, Bruce, Bostock, Jennifer, Bruyndonckx, Robin, Carr-Knox, Lucy, Ciccone, Emily J., Coenen, Samuel, Ebell, Mark, Gillespie, David, Hayward, Gail, Hedin, Katarina, Hood, Kerenza, Lau, Tin Man Mandy, Little, Paul, Merenstein, Dan, Mulogo, Edgar, Ordóñez-Mena, Jose, Muir, Peter, Samuel, Kirsty, Shaikh, Nader, Tonner, Sharon, van der Velden, Alike W., Verheij, Theo, Wang, Kay, Hay, Alastair D., Francis, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681295/
https://www.ncbi.nlm.nih.gov/pubmed/38011202
http://dx.doi.org/10.1371/journal.pone.0294845
_version_ 1785150786638970880
author Boateng, Irene
Stuart, Beth
Becque, Taeko
Barrett, Bruce
Bostock, Jennifer
Bruyndonckx, Robin
Carr-Knox, Lucy
Ciccone, Emily J.
Coenen, Samuel
Ebell, Mark
Gillespie, David
Hayward, Gail
Hedin, Katarina
Hood, Kerenza
Lau, Tin Man Mandy
Little, Paul
Merenstein, Dan
Mulogo, Edgar
Ordóñez-Mena, Jose
Muir, Peter
Samuel, Kirsty
Shaikh, Nader
Tonner, Sharon
van der Velden, Alike W.
Verheij, Theo
Wang, Kay
Hay, Alastair D.
Francis, Nick
author_facet Boateng, Irene
Stuart, Beth
Becque, Taeko
Barrett, Bruce
Bostock, Jennifer
Bruyndonckx, Robin
Carr-Knox, Lucy
Ciccone, Emily J.
Coenen, Samuel
Ebell, Mark
Gillespie, David
Hayward, Gail
Hedin, Katarina
Hood, Kerenza
Lau, Tin Man Mandy
Little, Paul
Merenstein, Dan
Mulogo, Edgar
Ordóñez-Mena, Jose
Muir, Peter
Samuel, Kirsty
Shaikh, Nader
Tonner, Sharon
van der Velden, Alike W.
Verheij, Theo
Wang, Kay
Hay, Alastair D.
Francis, Nick
author_sort Boateng, Irene
collection PubMed
description BACKGROUND: Resistance to antibiotics is rising and threatens future antibiotic effectiveness. ‘Antibiotic targeting’ ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowing primary care clinicians to establish if symptomatic patients have a viral, bacterial, combined, or no infection. However, because organisms can be harmlessly carried, it is important to know if the presence of the virus/bacteria is related to the illness for which the patient is being assessed. One way to do this is to look for associations with more severe/prolonged symptoms and test results. Previous research to answer this question for acute respiratory tract infections has given conflicting results with studies has not having enough participants to provide statistical confidence. AIM: To undertake a synthesis of IPD from both randomised controlled trials (RCTs) and observational cohort studies of respiratory tract infections (RTI) in order to investigate the prognostic value of microbiological data in addition to, or instead of, clinical symptoms and signs. METHODS: A systematic search of Cochrane Central Register of Controlled Trials, Ovid Medline and Ovid Embase will be carried out for studies of acute respiratory infection in primary care settings. The outcomes of interest are duration of disease, severity of disease, repeated consultation with new/worsening illness and complications requiring hospitalisation. Authors of eligible studies will be contacted to provide anonymised individual participant data. The data will be harmonised and aggregated. Multilevel regression analysis will be conducted to determine key outcome measures for different potential pathogens and whether these offer any additional information on prognosis beyond clinical symptoms and signs. TRIAL REGISTRATION: PROSPERO Registration number: CRD42023376769.
format Online
Article
Text
id pubmed-10681295
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-106812952023-11-27 Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis Boateng, Irene Stuart, Beth Becque, Taeko Barrett, Bruce Bostock, Jennifer Bruyndonckx, Robin Carr-Knox, Lucy Ciccone, Emily J. Coenen, Samuel Ebell, Mark Gillespie, David Hayward, Gail Hedin, Katarina Hood, Kerenza Lau, Tin Man Mandy Little, Paul Merenstein, Dan Mulogo, Edgar Ordóñez-Mena, Jose Muir, Peter Samuel, Kirsty Shaikh, Nader Tonner, Sharon van der Velden, Alike W. Verheij, Theo Wang, Kay Hay, Alastair D. Francis, Nick PLoS One Study Protocol BACKGROUND: Resistance to antibiotics is rising and threatens future antibiotic effectiveness. ‘Antibiotic targeting’ ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowing primary care clinicians to establish if symptomatic patients have a viral, bacterial, combined, or no infection. However, because organisms can be harmlessly carried, it is important to know if the presence of the virus/bacteria is related to the illness for which the patient is being assessed. One way to do this is to look for associations with more severe/prolonged symptoms and test results. Previous research to answer this question for acute respiratory tract infections has given conflicting results with studies has not having enough participants to provide statistical confidence. AIM: To undertake a synthesis of IPD from both randomised controlled trials (RCTs) and observational cohort studies of respiratory tract infections (RTI) in order to investigate the prognostic value of microbiological data in addition to, or instead of, clinical symptoms and signs. METHODS: A systematic search of Cochrane Central Register of Controlled Trials, Ovid Medline and Ovid Embase will be carried out for studies of acute respiratory infection in primary care settings. The outcomes of interest are duration of disease, severity of disease, repeated consultation with new/worsening illness and complications requiring hospitalisation. Authors of eligible studies will be contacted to provide anonymised individual participant data. The data will be harmonised and aggregated. Multilevel regression analysis will be conducted to determine key outcome measures for different potential pathogens and whether these offer any additional information on prognosis beyond clinical symptoms and signs. TRIAL REGISTRATION: PROSPERO Registration number: CRD42023376769. Public Library of Science 2023-11-27 /pmc/articles/PMC10681295/ /pubmed/38011202 http://dx.doi.org/10.1371/journal.pone.0294845 Text en © 2023 Boateng et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Protocol
Boateng, Irene
Stuart, Beth
Becque, Taeko
Barrett, Bruce
Bostock, Jennifer
Bruyndonckx, Robin
Carr-Knox, Lucy
Ciccone, Emily J.
Coenen, Samuel
Ebell, Mark
Gillespie, David
Hayward, Gail
Hedin, Katarina
Hood, Kerenza
Lau, Tin Man Mandy
Little, Paul
Merenstein, Dan
Mulogo, Edgar
Ordóñez-Mena, Jose
Muir, Peter
Samuel, Kirsty
Shaikh, Nader
Tonner, Sharon
van der Velden, Alike W.
Verheij, Theo
Wang, Kay
Hay, Alastair D.
Francis, Nick
Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
title Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
title_full Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
title_fullStr Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
title_full_unstemmed Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
title_short Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis
title_sort using microbiological data to improve the use of antibiotics for respiratory tract infections: a protocol for an individual patient data meta-analysis
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681295/
https://www.ncbi.nlm.nih.gov/pubmed/38011202
http://dx.doi.org/10.1371/journal.pone.0294845
work_keys_str_mv AT boatengirene usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT stuartbeth usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT becquetaeko usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT barrettbruce usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT bostockjennifer usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT bruyndonckxrobin usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT carrknoxlucy usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT cicconeemilyj usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT coenensamuel usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT ebellmark usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT gillespiedavid usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT haywardgail usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT hedinkatarina usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT hoodkerenza usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT lautinmanmandy usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT littlepaul usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT merensteindan usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT mulogoedgar usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT ordonezmenajose usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT muirpeter usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT samuelkirsty usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT shaikhnader usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT tonnersharon usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT vanderveldenalikew usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT verheijtheo usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT wangkay usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT hayalastaird usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis
AT francisnick usingmicrobiologicaldatatoimprovetheuseofantibioticsforrespiratorytractinfectionsaprotocolforanindividualpatientdatametaanalysis