Evidence map›Paper›PMID 27216064›Full record

ArticleAntimicrobial agents and chemotherapy2016

Predicting Antibiotic Resistance in Urinary Tract Infection Patients with Prior Urine Cultures.

Yaakov Dickstein, Yuval Geffen, Steen Andreassen, Leonard Leibovici, Mical Paul

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

5 authors.

Yaakov DicksteinDivision of Infectious Diseases, Rambam Healthcare Campus, Haifa, Israel yakovd@tlvmc.gov.il.
Yuval GeffenMedical Microbiology Laboratory, Rambam Healthcare Campus, Haifa, Israel.
Steen AndreassenCenter for Model-Based Medical Decision Support, Aalborg University, Aalborg, Denmark.
Leonard LeiboviciMedicine E, Rabin Medical Center, Beilinson Hospital, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Mical PaulDivision of Infectious Diseases, Rambam Healthcare Campus, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve antibiotic prescribing, we sought to establish the probability of a resistant organism in urine culture given a previous resistant culture in a setting endemic for multidrug-resistant (MDR) organisms. We performed a retrospective analysis of inpatients with paired positive urine cultures. We focused on ciprofloxacin-resistant (cipro(r)) Gram-negative bacteria, extended-spectrum-beta-lactamase (ESBL)-producing Enterobacteriaceae, carbapenem-resistant Enterobacteriaceae (CRE), and carbapenem-resistant nonfermenters (CRNF). Comparisons were made between the frequency of each resistance phenotype following a previous culture with the same phenotype and the overall frequency of that phenotype, and odds ratios (ORs) were calculated. We performed a regression to assess the effects of other variables on the likelihood of a repeat resistant culture. A total of 4,409 patients (52.5% women; median age, 70 years) with 19,546 paired positive urine cultures were analyzed. The frequencies of cipro(r) bacteria, ESBL-producing Enterobacteriaceae, CRE, and CRNF among all cultures were 47.7%, 30.6%, 1.7%, and 2.6%, respectively. ORs for repeated resistance phenotypes were 1.87, 3.19, 48.25, and 19.02 for cipro(r) bacteria, ESBL-producing Enterobacteriaceae, CRE, and CRNF, respectively (P < 0.001 for all). At 1 month, the frequencies of repeated resistance phenotypes were 77.4%, 66.4%, 57.1%, and 33.3% for cipro(r) bacteria, ESBL-producing Enterobacteriaceae, CRE, and CRNF, respectively. Increasing time between cultures and the presence of an intervening nonresistant culture significantly reduced the chances of a repeat resistant culture. Associations were statistically significant over the duration of follow-up (60 months) for CRE and for up to 6 months for all other pathogens. Knowledge of microbiology results in the six preceding months may assist with antibiotic stewardship and improve the appropriateness of empirical treatment for urinary tract infections (UTIs).

Indexed as

AgedAnti-Bacterial Agentsbeta-LactamasesCarbapenemsCiprofloxacinDrug Resistance, Multiple, BacterialEnterobacteriaceaeEnterobacteriaceae InfectionsFemaleHumansMaleRetrospective StudiesUrinary Tract InfectionsUrineAnti-Bacterial Agentsbeta-LactamasesCarbapenemsCiprofloxacin

Identifiers

PMID27216064
PMCPMC4958176

What OpenQuestion holds

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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.