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Record W4413638824 · doi:10.1056/evidoa2400294

In-Hospital Mortality in Hemorrhagic Myocardial Infarction

2025· article· en· W4413638824 on OpenAlex
Keyur Vora, Ankur Kalra, Chirag Shah, Kinjal Bhatt, Andreas Kumar, Tejas Pandya, Vishal Poptani, Shing Fai Chan, Dhirendra Pratap Singh, Nithya Jambunathan, Ramesh Subramanian, Khalid Youssef, Saravanan Kanakasabai, Robert Finney, Ankit A. Desai, Rolf P. Kreutz, Richard J. Kovacs, Subha V. Raman, Deepak L. Bhatt, Rohan Dharmakumar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNEJM Evidence · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsNOSM University
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionMyocardial infarctionInternal medicineCardiologyCohort

Abstract

fetched live from OpenAlex

BACKGROUND: Advances in acute ST-elevation myocardial infarction (STEMI) care have substantially decreased in-hospital mortality; however, in absolute terms, in-hospital mortality still remains high. Reperfusion injury, particularly intramyocardial hemorrhage following primary percutaneous coronary intervention (PCI), is a major predictor of adverse cardiovascular outcomes in the long term, but whether it contributes to in-hospital mortality is not known. METHODS: We performed a multicenter study to investigate the use of post-PCI high-sensitivity cardiac troponin I (hs-cTn-I) as a diagnostic tool to identify hemorrhagic myocardial infarction (MI) by determining hourly hs-cTn-I thresholds (every hour up to 12 hours, and at 16, 20, 24, and 48 hours post-PCI). We then investigated the relationship between patients classified as having hemorrhagic MI based on post-PCI hs-cTn-I cutoff values and in-hospital mortality using STEMI registries containing information about 6180 patients across seven hospitals in a single large health system in the United States. RESULTS: We enrolled 154 patients in a discovery cohort and 53 patients in a validation cohort. Hemorrhagic MI was diagnosed by cardiac magnetic resonance imaging. Post-PCI hs-cTn-I cutoff values for the determination of hemorrhagic MI were time dependent, with a sensitivity greater than 0.91, a specificity greater than 0.86, and an area under the curve (AUC) greater than 0.92 over the first 10 hours post-PCI, decreasing to a sensitivity greater than>0.84, a specificity greater than 0.80, and an AUC greater than 0.84 thereafter. The STEMI registry analysis demonstrated that patients classified as having hemorrhagic MI based on hs-cTn-I cutoff values had a 2.81-fold greater risk for in-hospital mortality than those classified as having had nonhemorrhagic MI (adjusted odds ratio, 2.81; 95% confidence interval, 2.17 to 3.64). CONCLUSIONS: Post-PCI troponin kinetics may have the potential to diagnose hemorrhagic MI, which was associated with in-hospital mortality. (Funded by the National Institutes of Health National Heart, Lung, and Blood Institute (grant numbers HL133407, HL136578, and HL147133) and others; ClinicalTrials.gov ID, NCT05872308).

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.052
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.377
Teacher spread0.343 · 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