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Record W2902583656 · doi:10.1093/ofid/ofy210.915

1079. When Does a Trans-Esophageal Echocardiogram (TEE) Change Management of Staphylococcus aureus Bacteremia (SAB)?

2018· article· en· W2902583656 on OpenAlexaffabout
John C. Lam, Stephen Robinson, Daniel B. Gregson, Ranjani Somayaji, John Conly, Lisa Welikovitch, Michael D. Parkins

Bibliographic record

VenueOpen Forum Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsAlberta Health ServicesSaint John Regional HospitalDalhousie UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineBacteremiaTransesophageal echocardiogramCohortTransthoracic echocardiogramEndocarditisInternal medicineComplicationIntracardiac injectionInfective endocarditisSurgeryCardiologyAntibiotics

Abstract

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Abstract Background The recognition of infective endocarditis (IE) as a serious complication of SAB has led to a low threshold for echocardiography, extended treatment (eTx) with anti-staphylococcal agents (anti-SA), and even surgery. However, indications for eTx outside of IE are numerous. We sought to determine the frequency in which findings from a TEE changed clinical SAB management. Methods Adults with SAB within the Calgary Health Zone between 2012 and 2014 were included if both a transthoracic echocardiogram (TTE) and TEE were performed within 7 days of each other. Patients potentially benefiting from eTx courses were a priori defined as having ≥1 of; (1) metastatic phenomena, (2) complicated SAB (defined as community acquired (CA), persistent fever/bacteremia at ≥48 hours), (3) intracardiac devices, and/or (4) Duke criteria defined IE (separately evaluated using TTE or TEE). Patient demographics, treatment (including changes to anti-SA duration and surgical indications), and clinical outcomes were extracted and evaluated. Results Of 961 SAB episodes, 179 (18% MRSA) met inclusion criteria (median 3.0 days, IQR 1.9–5.1 between TTE and TEE). Within the cohort 29% (n = 51) had metastatic phenomena (intracranial; 9% [n = 16], vertebral; 8% [n = 14]; empyema; 6% [n = 11]). Complicated bacteremia was present in 89% (n = 159), while 13% (n = 23) had intravascular hardware (39% pacemakers, 65% valve prostheses). IE was diagnosed in 22% (n = 40) of SAB episodes, with TTE identifying 58% of vegetations (n = 23) and TEE identifying an additional 30% (n = 15). Of the cohort, 89% (n = 160), 37% (n = 67), 4% (n = 7) of SAB had ≥1, 2, and 3 nonechocardiographic indications for eTx, respectively. Only one patient met criteria for eTx solely based on IE diagnosed from concordant TTE and TEE. Actual duration of therapy did not differ in SAB episodes that had ≥1 a priori eTx criteria but had a negative TEE relative to those who had a positive TEE (36.7 days, IQR 23.4–48.6 vs. 43.8 days, IQR 33.3–49.5, P = 0.17). Of the 15 episodes of TEE-only evident IE, 14 were CA, 12 had prolonged BSI, and nine embolic phenomena. Only 11 patients in the cohort required cardiac surgery, none were identified exclusively by TEE. Conclusion Routine performance of TEE may not be required in all SAB as many patients have alternate indications for eTx with anti-SA regardless of TEE findings. Disclosures All authors: No reported disclosures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.295
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes2
Has abstractyes

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