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Record W4283831497 · doi:10.1097/mcc.0000000000000956

Mechanical circulatory support in the treatment of cardiogenic shock

2022· review· en· W4283831497 on OpenAlexaff
Shannon M. Fernando, Susanna Price, Rebecca Mathew, Arthur S. Slutsky, Alain Combes, Daniel Brodie

Bibliographic record

VenueCurrent Opinion in Critical Care · 2022
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of TorontoSt. Michael's HospitalOttawa HospitalColumbia CollegeLakeridge HealthUniversity of Ottawa
Fundersnot available
KeywordsCardiogenic shockMedicineCirculatory systemShock (circulatory)Intensive care medicineCardiologyInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Cardiogenic shock is a condition that is characterized by end-organ hypoperfusion secondary to reduced cardiac output, and is associated with substantial mortality. The mainstay of therapy for cardiogenic shock is reversal of the underlying cause, and concomitant supportive care with vasoactive medications (vasopressors and inotropes). Patients who continue to deteriorate despite these measures may require mechanical circulatory support (MCS). Here, we review the devices available for MCS, and their associated benefits and risks. RECENT FINDINGS: Despite growing use worldwide, there is little randomized evidence supporting the routine use of any specific device for MCS in cardiogenic shock. A large randomized trial of the intra-aortic balloon pump did not demonstrate short- or long-term improvement in mortality. The TandemHeart and Impella devices which assist in left ventricular unloading have only been evaluated in small randomized trials, which showed an increase in adverse events without improvement in mortality. Finally, venoarterial extracorporeal membrane oxygenation (provides both circulatory and respiratory support) and is currently being evaluated in large randomized clinical trials. SUMMARY: Various devices for MCS in cardiogenic shock are available, but routine use is not supported by high-quality randomized evidence. Given the resources required for initiation of MCS, use of these treatments should be limited to centers experienced in advanced cardiac care, and future research should focus on what role (if any) these devices have in clinical practice.

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)0.000
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 score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.231
GPT teacher head0.425
Teacher spread0.194 · 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

Citations16
Published2022
Admission routes1
Has abstractyes

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