Evidence map›Paper›PMID 31842764›Full record

ArticleBMC infectious diseases2019

Associations between echocardiographic manifestations and bacterial species in patients with infective endocarditis: a cohort study.

A Damlin, K Westling, E Maret, C Stålsby Lundborg, K Caidahl, M J Eriksson

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Histopathology reveals concealed aortic valve inflammation.Journal of cardiothoracic surgery · 2024
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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

6 authors at 2 institutions in 1 country.

A DamlinDepartment of Molecular Medicine and Surgery, Division of Clinical Physiology, Karolinska Institutet, (L1:00), SE-171 76, Stockholm, Sweden. anna.damlin@ki.se.ORCID http://orcid.org/0000-0002-8124-5864
K WestlingDepartment of Medicine Huddinge, Division of Infectious Diseases and Dermatology, Karolinska Institutet, SE-141 86, Stockholm, Sweden.
E MaretDepartment of Molecular Medicine and Surgery, Division of Clinical Physiology, Karolinska Institutet, (L1:00), SE-171 76, Stockholm, Sweden.
C Stålsby LundborgGlobal Health - Health Systems and Policy: Medicines, focusing antibiotics. Department of Global Public Health, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
K CaidahlDepartment of Molecular Medicine and Surgery, Division of Clinical Physiology, Karolinska Institutet, (L1:00), SE-171 76, Stockholm, Sweden.
M J ErikssonDepartment of Molecular Medicine and Surgery, Division of Clinical Physiology, Karolinska Institutet, (L1:00), SE-171 76, Stockholm, Sweden.
Karolinska University Hospital · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of infective endocarditis (IE) is based on microbiological analyses and diagnostic imaging of cardiac manifestations. Echocardiography (ECHO) is preferred for visualization of IE-induced cardiac manifestations. We investigated associations between bacterial infections and IE manifestations diagnosed by ECHO.

methodsIn this cohort study, data from patients aged 18 years or above, with definite IE admitted at the Karolinska University Hospital between 2008 and 2017 were obtained from Swedish National Registry of Endocarditis. Bacteria registered as pathogen were primarily selected from positive blood culture and for patients with negative blood culture, bacteria found in culture or PCR from postoperative material was registered as pathogen. Patients with negative results from culture or PCR, and patients who did not undergo ECHO during hospital stay, were excluded. IE manifestations diagnosed by ECHO were obtained from the registry. Chi-squared test and two-sided Fisher's exact test was used for comparisons between categorical variables, and student's t test was used for continuous numerical variables. Multivariable analyses were performed using logistic regression. Secular trend analyses were performed using linear regression. Associations and the strength between the variables were estimated using odds ratios (ORs) with 95% confidence intervals (CIs). P < 0.05 was considered significant.

resultsThe most common bacteria were Staphylococcus aureus (n = 239, 49%) and viridans group streptococci (n = 102, 21%). The most common manifestations were vegetation in the mitral (n = 195, 40%), aortic (n = 190, 39%), and tricuspid valves (n = 108, 22%). Associations were seen between aortic valve vegetations and Enterococcus faecalis among patients with native aortic valves, between mitral valve vegetations and streptococci of group B or viridans group, between tricuspid valve vegetations and S. aureus among patients with intravenous drug abuse, and between perivalvular abscesses as well as cardiovascular implantable electronic device (CIED)-associated IE and coagulase negative staphylococci (all P < 0.05).

conclusionsAssociations were found between certain bacterial species and specific ECHO manifestations. Our study contributes to a better understanding of IE manifestations and their underlying bacterial etiology, which pathogens can cause severe infections and might require close follow-up and surgical treatment.

Indexed as

AbscessAdultAgedAortic ValveEchocardiographyEndocarditis, BacterialFemaleHospital MortalityHospitals, UniversityHumansMaleMiddle AgedMitral ValveRegistriesRetrospective StudiesStaphylococcal InfectionsCardiac imagingDiagnosticsEchocardiographyHeart valvesInfective endocarditis

Identifiers

PMID31842764
PMCPMC6916238
OpenAlexW2995355181

What OpenQuestion holds

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LicenceCC BY
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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.