Evidence map›Paper›PMID 29907113›Full record

Observational studyRespiratory research2018

Microorganisms resistant to conventional antimicrobials in acute exacerbations of chronic obstructive pulmonary disease.

Cristina Estirado, Adrian Ceccato, Monica Guerrero, Arturo Huerta, Catia Cilloniz, Olivia Vilaró, Albert Gabarrús, Joaquim Gea, Ernesto Crisafulli, Nestor Soler and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Respiratory research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  10. Development and validation a simple model for identify malignant ascites.International journal of medical sciences · 2021
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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

11 authors at 6 institutions in 2 countries.

Cristina EstiradoPulmonology Department, Hospital del Mar-IMIM. CEXS, Universitat Pompeu Fabra, CIBERES, ISCiii, Barcelona, Spain.
Adrian CeccatoPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Monica GuerreroPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Arturo HuertaPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Catia CillonizPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Olivia VilaróPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Albert GabarrúsPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Joaquim GeaPulmonology Department, Hospital del Mar-IMIM. CEXS, Universitat Pompeu Fabra, CIBERES, ISCiii, Barcelona, Spain.
Ernesto CrisafulliRespiratory and Lung Function Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Nestor SolerPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain.
Antoni TorresPneumology Department, Respiratory Institute (ICR), Hospital Clinic of Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), SGR 911- Ciber de Enfermedades Respiratorias (CIBERES), ICREA Academia, Barcelona, Spain. atorres@clinic.cat.
Universitat de Barcelona · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESPompeu Fabra University · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESHospital Clínic de Barcelona · ESUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial treatment for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) remains controversial. In some cases AECOPD are caused by microorganisms that are resistant to treatments recommended by guidelines. Our aims were: 1) identify the risk factors associated with infection by microorganisms resistant to conventional treatment (MRCT), 2) Compare the clinical characteristics and outcomes of patients with AECOPD resulting from MRCT against those with AECOPD from other causes.

methodsWe prospective analysed a cohort of patients admitted with severe AECOPD (2009 to 2015) who were assigned to three groups: patients with MRCT (those patients with germs resistant to antibiotics recommended in guidelines), patients with microorganisms sensitive to conventional antimicrobial treatment (MSCT), and patients with negative microbiology results who had not previously received antibiotics. Multinomial logistic regression analyses were used to examine the associations between microbial aetiology groups and risk factors. The association between LOS and risk factors was also tested in simple and multiple analyses, and similar inclusion criteria were applied for the linear regression analysis.

resultsOf the 451 patients admitted, 195 patients (43%) were included. Respiratory cultures were positive in 86(44%) and negative in 109(56%). MRCT were isolated in 34 cases (40%) and MSCT in 52 (60%). Patients with MRCT had more AECOPD in the previous year, received more antibiotic treatment in the previous three months, had more severe disease, higher dyspnoea and a positive respiratory culture in the previous year (mainly for Pseudomonas aeruginosa). The following conditions were independent factors for MRCT isolation: non-current smoker (odds ratio [OR] 4.19 [95% confidence interval [CI] 1.29-13.67], p = 0.017), ≥ 2 AECOPD or ≥ 1 admission for AECOPD in the previous year (OR 4.13 [95% CI 1.52-11.17], p = 0.005), C-reactive protein < 5 mg/dL; (OR 3.58 [95% CI 1.41-9.07], p = 0.007). Mortality rates were comparable at 30-days, one year and 3 years; however, patients in the MRCT group had longer hospital stays.

conclusionIn conclusion, there are risk factors for resistant germs in AECOPD; however, the presence of these germs does not increase mortality. Patients with isolation of MRCT had longer length of stay.

Indexed as

Acute DiseaseAgedAged, 80 and overAnti-Infective AgentsCohort StudiesDisease ProgressionDrug Resistance, Multiple, BacterialFemaleHumansMaleMiddle AgedProspective StudiesPulmonary Disease, Chronic ObstructiveSputumAnti-Infective AgentsCOPDExacerbationResistance to antimicrobials

Identifiers

PMID29907113
PMCPMC6003174
OpenAlexW2808458711

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.