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Record W2203848109 · doi:10.1097/aco.0000000000000284

Pearls and pitfalls in managing right heart failure in cardiac surgery

2015· review· en· W2203848109 on OpenAlexaff
François Haddad, Mahsa Elmi-Sarabi, Élie Fadel, Olaf Mercier, André Denault

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2015
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineExtracorporeal circulationIntensive care medicineRight heart failureExtracorporeal membrane oxygenationPerioperativeCardiologyHeart failureInternal medicineSurgery

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To review the recent insights in the evaluation and management of perioperative (RHF). RECENT FINDINGS: Recent studies highlight the potential role of myocardial deformation imaging in the evaluation of patients at risk of postoperative RHF. There is also a growing interest to study the value of load-adaptation indices of the right heart in the setting of pulmonary hypertension or left ventricular assist device implantation. Finally, the field of temporary extracorporeal life support devices for RHF is rapidly evolving and new strategies are emerging. SUMMARY: An integrated approach for assessing the cardiopulmonary axis combining imaging, hemodynamic and tissue perfusion monitoring is emerging, as particularly helpful in the field. Several developments in the field of temporary right heart support including the pumpless interventional lung assist membrane ventilator are offering new opportunities to support the right-heart pulmonary circulation. Future multicenter studies are needed to develop more effective preventive and therapeutic strategies for RHF.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.331
Teacher spread0.256 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations26
Published2015
Admission routes1
Has abstractyes

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