Publication:
Reducing antibiotic use in uncomplicated urinary tract infections in adult women: a systematic review and individual participant data meta-analysis.

cris.virtual.author-orcid0000-0002-0006-7833
cris.virtualsource.author-orcid47df8a33-175d-49c2-8a00-6119b3682ac9
datacite.rightsopen.access
dc.contributor.authorKaußner, Yvonne
dc.contributor.authorRöver, Christian
dc.contributor.authorHeinz, Judith
dc.contributor.authorHummers, Eva
dc.contributor.authorDebray, Thomas P A
dc.contributor.authorHay, Alastair D
dc.contributor.authorHeytens, Stefan
dc.contributor.authorVik, Ingvild
dc.contributor.authorLittle, Paul
dc.contributor.authorMoore, Michael
dc.contributor.authorStuart, Beth
dc.contributor.authorWagenlehner, Florian
dc.contributor.authorKronenberg, Andreas Oskar
dc.contributor.authorFerry, Sven
dc.contributor.authorMonsen, Tor
dc.contributor.authorLindbæk, Morten
dc.contributor.authorFriede, Tim
dc.contributor.authorGágyor, Ildikó
dc.date.accessioned2024-10-11T16:47:14Z
dc.date.available2024-10-11T16:47:14Z
dc.date.issued2022-12
dc.description.abstractBACKGROUND Randomised controlled trials (RCTs) investigated analgesics, herbal formulations, delayed prescription of antibiotics and placebo to prevent overprescription of antibiotics in women with uncomplicated urinary tract infections (uUTI). OBJECTIVES To estimate the effect of these strategies and to identify symptoms, signs or other factors that indicate a benefit from these strategies. DATA SOURCES MEDLINE, EMBASE, Web of Science, LILACS, Cochrane Database of Systematic Reviews and of Controlled Trials, and ClinicalTrials. STUDY ELIGIBILITY CRITERIA, PARTICIPANTS AND INTERVENTIONS RCTs investigating any strategies to reduce antibiotics versus immediate antibiotics in adult women with uUTI in primary care. DATA SYNTHESIS We extracted individual participant data (IPD) if available, otherwise aggregate data (AD). Bayesian random-effects meta-analysis of the AD was used for pairwise comparisons. Candidate moderators and prognostic indicators of treatment effects were investigated using generalised linear mixed models based on IPD. RESULTS We analysed IPD of 3524 patients from eight RCTs and AD of 78 patients. Non-antibiotic strategies increased the rates of incomplete recovery (odds ratio [OR] 3.0; 95% credible interval [CI] 1.7-5.5; Bayesian p-value pB=0.0017; τ=0.6), subsequent antibiotic treatment (OR 3.5 [95% CI 2.1, 5.8; pB=0.0003) and pyelonephritis (OR 5.6; 95% CI 2.3, 13.9; pB=0.0003). Conversely, they decreased overall antibiotic use by 63%. In patients positive for urinary erythrocytes and urine culture were at increased risk for incomplete recovery (OR 4.7; 95% CI 2.1-10.8; pB =0.0010), but no difference was apparent where both were negative (OR 0.8; 95% CI 0.3-2.0; pB =0.667). In patients treated with using non-antibiotic strategies, urinary erythrocytes and positive urine culture were independent prognostic indicators for subsequent antibiotic treatment and pyelonephritis. CONCLUSIONS AND RELEVANCE Compared to immediate antibiotics, non-antibiotic strategies reduce overall antibiotic use but result in poorer clinical outcomes. The presence of erythrocytes and tests to confirm bacteria in urine could be used to target antibiotic prescribing.
dc.description.numberOfPages9
dc.description.sponsorshipInstitut für Infektionskrankheiten (IFIK)
dc.identifier.doi10.48350/171117
dc.identifier.pmid35788049
dc.identifier.publisherDOI10.1016/j.cmi.2022.06.017
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/85993
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofClinical microbiology and infection
dc.relation.issn1469-0691
dc.relation.organizationDCD5A442BD12E17DE0405C82790C4DE2
dc.subjectAnalgesics Antibiotics Cystitis Delayed prescription Erythrocytes General practice
dc.subject.ddc500 - Science::570 - Life sciences; biology
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleReducing antibiotic use in uncomplicated urinary tract infections in adult women: a systematic review and individual participant data meta-analysis.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage1566
oaire.citation.issue12
oaire.citation.startPage1558
oaire.citation.volume28
oairecerif.author.affiliationInstitut für Infektionskrankheiten (IFIK)
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unibe.date.embargoChanged2023-07-01 22:25:10
unibe.date.licenseChanged2023-07-01 22:25:10
unibe.description.ispublishedpub
unibe.eprints.legacyId171117
unibe.refereedtrue
unibe.subtype.articlejournal

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