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Record W4384522240 · doi:10.1097/sla.0000000000005975

Myocardial Injury After Noncardiac Surgery in Major General Surgical Patients a Prospective Observational Cohort Study

2023· article· en· W4384522240 on OpenAlexaff
Michael J. Jacka, Erik Youngson, David L. Bigam, Michelle M. Graham, Diane Heels‐Ansdell, Lily Park, Charlotte Tiffanie Bendtz Kanstrup, Rahima Nenshi, Sean M. Bagshaw, Finlay A. McAlister, Neesh Pannu, Derek R. Townsend, M. Sean McMurtry, P.J. Devereaux

Bibliographic record

VenueAnnals of Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcMaster UniversityImpactAlberta Health ServicesUniversity of Alberta
Fundersnot available
KeywordsMedicineProspective cohort studyCohortIncidence (geometry)SurgeryCohort studyTroponin TObservational studyInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to determine the prognostic relevance, clinical characteristics, and 30-day outcomes associated with myocardial injury after noncardiac surgery (MINS) in major general surgery patients. BACKGROUND: MINS has been independently associated with 30-day mortality after noncardiac surgery. The characteristics and prognostic importance of MINS in major general surgical patients have not been described. METHODS: This was an international prospective cohort study of a representative sample of 22,552 noncardiac surgery patients 45 years or older, of whom 4490 underwent major general surgery in 24 centers in 13 countries. All patients had fifth-generation plasma high-sensitivity troponin T (hsTnT) concentrations measured during the first 3 postoperative days. MINS was defined as a hsTnT of 20-65 ng/L and absolute change >5 ng/L or hsTnT ≥65 ng/L secondary to ischemia. The objectives of the present study were to determine (1) whether MINS is prognostically important in major general surgical patients, (2) the clinical characteristics of major general surgical patients with and without MINS, (3) the 30-day outcomes for major general surgical patients with and without MINS, and (4) the proportion of MINS that would have gone undetected without routine postoperative monitoring. RESULTS: The incidence of MINS in the major general surgical patients was 16.3% (95% CI, 15.3-17.4%). Thirty-day all-cause mortality in the major general surgical cohort was 6.8% (95% CI, 5.1%-8.9%) in patients with MINS compared with 1.2% (95% CI, 0.9%-1.6%) in patients without MINS ( P <0.01). MINS was independently associated with 30-day mortality in major general surgical patients (adjusted odds ratio 4.7, 95% CI, 3.0-7.4). The 30-day mortality was higher both among MINS patients with no ischemic features (ie, no ischemic symptoms or electrocardiogram findings) (5.4%, 95% CI, 3.7%-7.7%) and among patients with 1 or more clinical ischemic features (10.6%, 95% CI, 6.7%-15.8%). The proportion of major general surgical patients who had MINS without ischemic symptoms was 89.9% (95% CI, 87.5-92.0). CONCLUSIONS: Approximately 1 in 6 patients experienced MINS after major general surgery. MINS was independently associated with a nearly 5-fold increase in 30-day mortality. The vast majority of patients with MINS were asymptomatic and would have gone undetected without routine postoperative troponin measurement.

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)0.001
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.113
GPT teacher head0.347
Teacher spread0.234 · 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

Citations13
Published2023
Admission routes1
Has abstractyes

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