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Record W1994977197 · doi:10.1016/s1010-7940(00)00482-6

Post infarction ventricular septal defect – can we do better?✩

2000· article· en· W1994977197 on OpenAlexaboutno aff
Marek Deja, J. Szostek, Kazimierz Widenka, Bartłomiej Szafron, Tomasz Spyt, M. Hickey, Andrzej Sosnowski

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiac Structural Anomalies and Repair
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiogenic shockCardiologyMyocardial infarctionInternal medicineConfidence intervalOdds ratioSurgeryRetrospective cohort studyShock (circulatory)Proportional hazards model

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify predictors of early and late outcome among 117 consecutive patients who underwent postinfarction ventricular septal defect (VSD) repair over a period of 12 years. METHODS: A retrospective analysis of clinical data was performed. Mean age was 65.5+/-7.8. There were 43 females. Full data were obtained in 110 patients. Of these, 76 patients presented with anterior and 34 with posterior VSD. Thirty-three patients were operated in cardiogenic shock. Mean time between myocardial infarction (MI) and VSD development was 5.6+/-7.8 days (median 4) and from VSD to surgery 9. 0+/-28.1 (median 2). Sixty-six patients had intraaortic balloon pump (IABP) inserted, and 15 were ventilated preoperatively. Logistic regression and Cox regression were used for multivariate analysis. RESULTS: Thirty days mortality was 37%. Among 110 patients, in whom complete analysis was possible, 38 died within 30 days (35%). Mortality in the posterior VSD group was 35% and in the anterior VSD group 34% (NS). In 44 patients (40%) a residual shunt was found on postoperative echocardiography. This required reoperation in 13 patients (four deaths). Cardiogenic shock prior to surgery adversely influenced early survival - odds ratio (OR) 5.7 (confidence interval (CI) 2.1-16.0) (P=0.0008). Deterioration of haemodynamic status in between admission and surgery was stronger predictor of mortality than shock on admission - OR 6.0 (CI 1.6-22.6) (P=0.008) vs. 3.1 (CI 1.0-9.3) (P=0.049). A longer time between MI and surgery favoured survival - OR 0.1 (CI 0.03-0.4) (P=0.002). The time period from the infarct to the septal rupture, but not from the rupture to surgery, appeared to be a significant predictor of survival - OR 0.2 (CI 0. 05-0.6) (P=0.008). Five years survival was 46+/-5%. Preoperative cardiogenic shock affected late survival - OR 2.7 (CI 1.5-4.9) (P=0. 001). Of 72 patients who survived 30 postoperative days, 12 (17%) were in New York Heart Association (NYHA) class III or IV and five (6.9%) in Canadian Cardiovascular Soceity (CCS) class III or IV at the last follow-up. CONCLUSIONS: Preoperative cardiogenic shock and early postinfarction septal rupture carry a grave prognosis. Achieving haemodynamic stability prior to surgery may be beneficial but prolonged attempts to improve patients' cardiovascular state are hazardous.

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)0.006
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.239
Teacher spread0.228 · 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

Citations244
Published2000
Admission routes1
Has abstractyes

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