Evidence map›Paper›PMID 26238248›Full record

Observational studyBMC geriatrics2015

Antibiotic resistance patterns of bacteria causing urinary tract infections in the elderly living in nursing homes versus the elderly living at home: an observational study.

Mark Fagan, Morten Lindbæk, Nils Grude, Harald Reiso, Maria Romøren, Dagfinn Skaare, Dag Berild

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Antimicrobial resistance inInfection control and hospital epidemiology · 2023
    Article
  6. High antimicrobial resistance in urinary tract infections in male outpatients in routine laboratory data, Germany, 2015 to 2020.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Observational
  7. Article
  8. Bloodstream infections in older population: epidemiology, outcome, and impact of multidrug resistance.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Observational
  16. Article
  17. Review
  18. Sepsis and Other Infectious Disease Emergencies in the Elderly.Emergency medicine clinics of North America · 2016
    Review
  19. Article
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

7 authors at 2 institutions in 1 country.

Mark FaganInstitute of Health and Society, Faculty of Medicine, University of Oslo, Postboks 1130, Blindern, 0318, , Oslo, Norway. markfagannor@gmail.com.
Morten LindbækInstitute of Health and Society, Faculty of Medicine, University of Oslo, Postboks 1130, Blindern, 0318, , Oslo, Norway. morten.lindbak@medisin.uio.no.
Nils GrudeDepartment of Microbiology, Vestfold Hospital Trust, Tønsberg, Postboks 2168, 3103, Tønsberg, Norway. nigrud@siv.no.
Harald ReisoInstitute of Health and Society, Faculty of Medicine, University of Oslo, Postboks 1130, Blindern, 0318, , Oslo, Norway. harald.reiso@medisin.uio.no.
Maria RomørenInstitute of Health and Society, Faculty of Medicine, University of Oslo, Postboks 1130, Blindern, 0318, , Oslo, Norway. maria.romoren@medisin.uio.no.
Dagfinn SkaareDepartment of Microbiology, Vestfold Hospital Trust, Tønsberg, Postboks 2168, 3103, Tønsberg, Norway. dagfinn.skaare@siv.no.
Dag BerildDepartment of Infectious Disease, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, PO Box 4950, Nydalen, 0424, , Oslo, Norway. dag.berild@medisin.uio.no.
University of Oslo · NOSykehuset i Vestfold · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic resistance is a problem in nursing homes. Presumed urinary tract infections (UTI) are the most common infection. This study examines urine culture results from elderly patients to see if specific guidelines based on gender or whether the patient resides in a nursing home (NH) are warranted.

methodsThis is a cross sectional observation study comparing urine cultures from NH patients with urine cultures from patients in the same age group living in the community.

resultsThere were 232 positive urine cultures in the NH group and 3554 in the community group. Escherichia coli was isolated in 145 urines in the NH group (64%) and 2275 (64%) in the community group. There were no clinically significant differences in resistance. Combined, there were 3016 positive urine cultures from females and 770 from males. Escherichia coli was significantly more common in females 2120 (70%) than in males 303 (39%) (p < 0.05). Enterococcus faecalis was significantly less common in females 223 (7%) than males 137 (18%) (p < 0.05). For females, there were lower resistance rates to ciprofloxacin among Escherichia coli (7% vs 12%; p < 0.05) and to mecillinam among Proteus mirabilis (3% vs 12%; p < 0.05).

conclusionsDifferences in resistance rates for patients in the nursing home do not warrant separate recommendations for empiric antibiotic therapy, but recommendations based on gender seem warranted.

Indexed as

Anti-Infective Agents, UrinaryEscherichia coli InfectionsProteus InfectionsUrinary Tract InfectionsAgedAged, 80 and overCross-Sectional StudiesDrug Resistance, BacterialEscherichia coliFemaleHomes for the AgedHumansIndependent LivingMaleNorwayNursing HomesAnti-Infective Agents, Urinary

Identifiers

PMID26238248
PMCPMC4523906
OpenAlexW1802831298

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.