MétaCan
Menu
Back to cohort
Record W4401698645 · doi:10.1097/shk.0000000000002433

CLINICAL OUTCOMES OF PATIENTS WITH CARDIOGENIC SHOCK COMPLICATING ACUTE MYOCARDIAL INFARCTION: THE GULF-CARDIOGENIC SHOCK REGISTRY

2024· article· en· W4401698645 on OpenAlexaff
Amin Daoulah, Mohammed Alshehri, Prashanth Panduranga, Hatem Aloui, Nooraldaem Yousif, Abdulrahman Arabi, Wael Almahmeed, Mohammed A. Qutub, Ahmed F. Elmahrouk, Amr A. Arafat, Omar Kanbr, Adnan Fathey Hussien, Mubarak Aldossari, Abdulmohsen H. Al Mefarrej, Tarique Shahzad Chachar, Haitham Amin, Gladsy Selva Livingston, Abeer Said Mohamed Al Rawahi, Jassim Alswuaidi, Shahrukh Hashmani, Mohammed Al‐Jarallah, Mohamed Ajaz Ghani, Badr Alzahrani, Maryam Jameel Naser, Wael Qenawi, Taher Hassan, Abdullah Al‐Enezi, Ahmad Hersi, Waleed Alharbi, Sultan Al Obaikan, Salman Saad Almalki, Sulafa Ballool, Husam A. Noor, Manar Khalid AlSuwaidi, Harvey Antony, Marwa Abd Elghany Albasiouny Alkholy, Khaled Alkhodari, Hassan Khan, Ali Alshehri, Ahmed A. Ghonim, Seraj Abualnaja, Mokhtar Abdirahman Kahin, Rajesh Rajan, Khaled Almerri, Faisal Omar M. Al Nasser, Ahmed Alhaydhal, Mohammed Awad Ashour, Omer A. Elamin, Ahmed A. Jamjoom, Sary Mahmoud Wedinly, Youssef Elmahrouk, Ziad Dahdouh, Ethan M. Ross, Said Al Maashani, Abdulwali Abohasan, Wael Tawfik, Mohammed Balghith, Abdelmaksoud Elganady, Ibrahim A. M. Abdulhabeeb, Rasha Mohammed Borini, Ayman Basardah, Abdulrahman Alqahtani, Alaa Aldossari, Abdullah Omair Alsuayri, M. Gabriel Khan, Amir Lotfi

Bibliographic record

VenueShock · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsEmergent BioSolutions (Canada)
Fundersnot available
KeywordsCardiogenic shockMedicineMyocardial infarctionCardiologyInternal medicineRevascularizationIncidence (geometry)

Abstract

fetched live from OpenAlex

ABSTRACT: Background: There is a paucity of data regarding acute myocardial infarction (MI) complicated by cardiogenic shock (AMI-CS) in the Gulf region. This study addressed this knowledge gap by examining patients experiencing AMI-CS in the Gulf region and analyzing hospital and short-term follow-up mortality. Methods: The Gulf-Cardiogenic Shock registry included 1,513 patients with AMI-CS diagnosed between January 2020 and December 2022. Results: The incidence of AMI-CS was 4.1% (1,513/37,379). The median age was 60 years. The most common presentation was ST-elevation MI (73.83%). In-hospital mortality was 45.5%. Majority of patients were in SCAI (Society for Cardiovascular Angiography and Interventions shock classification) stage D and E (68.94%). Factors associated with hospital mortality were previous coronary artery bypass graft (odds ratio [OR]: 2.49; 95% confidence interval [CI]: 1.321-4.693), cerebrovascular accident (OR: 1.621; 95% CI: 1.032-2.547), chronic kidney disease (OR: 1.572; 95% CI: 1.158-2.136), non-ST-elevation MI (OR: 1.744; 95% CI: 1.058-2.873), cardiac arrest (OR: 5.702; 95% CI: 3.640-8.933), SCAI stage D and E (OR: 19.146; 95% CI: 9.902-37.017), prolonged QRS (OR: 10.012; 95% CI: 1.006-1.019), right ventricular dysfunction (OR: 1.679; 95% CI: 1.267-2.226), and ventricular septal rupture (OR: 6.008; 95% CI: 2.256-15.998). Forty percent had invasive hemodynamic monitoring, 90.02% underwent revascularization, and 45.80% received mechanical circulatory support (41.31% had intra-aortic balloon pump and 14.21% had extracorporeal membrane oxygenation/Impella devices). Survival at 12 months was 51.49% (95% CI: 46.44%-56.29%). Conclusions: The study highlighted the significant burden of AMI-CS in this region, with high in-hospital mortality. The study identified several key risk factors associated with increased hospital mortality. Despite the utilization of invasive hemodynamic monitoring, revascularization, and mechanical circulatory support in a substantial proportion of patients, the 12-month survival rate remained relatively low.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.016
GPT teacher head0.307
Teacher spread0.291 · 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".

Quick stats

Citations16
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueShockSame topicCardiac Arrest and ResuscitationFrench-language works237,207