Evidence map›Paper›PMID 34626347›Full record

ArticleInfectious diseases and therapy2021

A Large Multicenter Prospective Study of Community-Onset Healthcare Associated Bacteremic Urinary Tract Infections in the Era of Multidrug Resistance: Even Worse than Hospital Acquired Infections?

Silvia Gómez-Zorrilla, Federico Becerra-Aparicio, Inmaculada López Montesinos, Enrique Ruiz de Gopegui, Inmaculada Grau, Vicente Pintado, Belén Padilla, Natividad Benito, Lucía Boix-Palop, Maria Carmen Fariñas and 13 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Assessing the economic burden of complicated urinary tract infection: A systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Pooled it
  2. Review
  3. Incidence, case-fatality rates and risk factors of bloodstream infections caused byEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Whole Genome Sequencing Analysis ofOpen forum infectious diseases · 2025
    Article
  5. Article
  6. Review
  7. Antimicrobial resistance in Gram-negative bacilli in Spain: an experts' view.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023
    Article
  8. 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

23 authors at 11 institutions in 1 country.

Silvia Gómez-ZorrillaInfectious Diseases Service, Hospital del Mar, Infectious Pathology and Antimicrobials Research Group (IPAR), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Pompeu Fabra, Passeig Marítim 25-27, 08003, Barcelona, Spain. sgomezzorrilla@parcdesalutmar.cat.ORCID http://orcid.org/0000-0002-5987-068X
Federico Becerra-AparicioRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Inmaculada López MontesinosInfectious Diseases Service, Hospital del Mar, Infectious Pathology and Antimicrobials Research Group (IPAR), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Pompeu Fabra, Passeig Marítim 25-27, 08003, Barcelona, Spain.
Enrique Ruiz de GopeguiRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Inmaculada GrauRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Vicente PintadoRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Belén PadillaRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Natividad BenitoInfectious Diseases Service, Hospital de la Santa Creui Sant Pau-Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Lucía Boix-PalopInfectious Diseases Service, Hospital Mutua de Terrassa, Barcelona, Spain.
Maria Carmen FariñasRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
María PeñarandaInfectious Diseases Service, Hospital Universitari Son Espases, Palma de Mallorca, Spain.
Maria Rocío GamalloInfectious Diseases Service, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain.
Jose Antonio MartinezRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Elena Morte-RomeaInfectious Diseases Service, Hospital Clínico Universitario "Lozano Blesa", Zaragoza, Spain.
Jose Luis Del PozoRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Xavier Durán-JordáMethodology and Biostatistics Support Unit, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
Jazmin Díaz-RegañónMedical Department, MSD Spain, Madrid, Spain.
Diego López-MendozaMedical Department, MSD Spain, Madrid, Spain.
Rafael CantónRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Antonio OliverRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Patricia Ruiz-GarbajosaRed Española de Investigación en Patología Infecciosa (REIPI), Instituto de Salud Carlos III, Madrid, Spain.
Juan Pablo HorcajadaInfectious Diseases Service, Hospital del Mar, Infectious Pathology and Antimicrobials Research Group (IPAR), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Pompeu Fabra, Passeig Marítim 25-27, 08003, Barcelona, Spain. jhorcajada@psmar.cat.
REIPI/GEIRAS-GEMARA SEIMC ITUBRAS-2 Group
Instituto de Salud Carlos III · ESHospital Clínico Universitario Lozano Blesa · ESMSD (Spain) · ESUniversitat Pompeu Fabra · ESClinica Universidad de Navarra · ESComplexo Hospitalario Universitario A Coruña · ESHospital del Mar Research Institute · ESHospital Universitario Son Espases · ESInstituto Ramón y Cajal de Investigación Sanitaria · ESUniversitat Autònoma de Barcelona · ESUniversity Hospital Mútua de Terrassa · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealthcare-associated (HCA) infections represent a growing public health problem. The aim of this study was to compare community-onset healthcare associated (CO-HCA) bacteremic urinary tract infections (BUTI) and hospital-acquired (HA)-BUTI with special focus on multidrug resistances (MDR) and outcomes.

methodsITUBRAS-project is a prospective multicenter cohort study of patients with HCA-BUTI. All consecutive hospitalized adult patients with CO-HCA-BUTI or HA-BUTI episode were included in the study. Exclusion criteria were: patients < 18 years old, non-hospitalized patients, bacteremia from another source or primary bacteremia, non-healthcare-related infections and infections caused by unusual pathogens of the urinary tract. The main outcome variable was 30-day all-cause mortality with day 1 as the first day of positive blood culture. Logistic regression was used to analyze factors associated with clinical cure at hospital discharge and with receiving inappropriate initial antibiotic treatment. Cox regression was used to evaluate 30-day all-cause mortality.

resultsFour hundred forty-three episodes were included, 223 CO-HCA-BUTI. Patients with CO-HCA-BUTI were older (p < 0.001) and had more underlying diseases (p = 0.029) than those with HA-BUTI. The severity of the acute illness (Pitt score) was also higher in CO-HCA-BUTI (p = 0.026). Overall, a very high rate of MDR profiles (271/443, 61.2%) was observed, with no statistical differences between groups. In multivariable analysis, inadequate empirical treatment was associated with MDR profile (aOR 3.35; 95% CI 1.77-6.35), Pseudomonas aeruginosa (aOR 2.86; 95% CI 1.27-6.44) and Charlson index (aOR 1.11; 95% CI 1.01-1.23). Mortality was not associated with the site of acquisition of the infection or the presence of MDR profile. However, in the logistic regression analyses patients with CO-HCA-BUTI (aOR 0.61; 95% CI 0.40-0.93) were less likely to present clinical cure.

conclusionThe rate of MDR infections was worryingly high in our study. No differences in MDR rates were found between CO-HCA-BUTI and HA-BUTI, in the probability of receiving inappropriate empirical treatment or in 30-day mortality. However, CO-HCA-BUTIs were associated with worse clinical cure.

Indexed as

Bloodstream infectionsCommunity-onset healthcare-associated infectionsHospital-acquired infectionsMultidrug resistantUrinary tract infections

Identifiers

PMID34626347
PMCPMC8572918
OpenAlexW3202631961

What OpenQuestion holds

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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.