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Influence of Body Size on Clinical Outcome in Patients Undergoing Coronary Surgery with or Without Cardiopulmonary Bypass

2002· article· en· W2115334480 on OpenAlexaboutno aff
R Ascoine, Karen Rees, MH Chamberlain, Franco Ciulli, AJ Bryan, Gianni D. Angelini

Bibliographic record

VenueJournal of Cardiac Surgery · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMyocardial infarctionCardiologyEjection fractionCardiopulmonary bypassBody mass indexInternal medicineAnginaCoronary artery diseaseOverweightUnstable anginaCoronary artery bypass surgeryCanadian Cardiovascular SocietyStroke (engine)SurgeryBypass surgeryArteryHeart failure

Abstract

fetched live from OpenAlex

Objective: Coronary artery bypass grafting (CABG) in overweight patients carries significant morbidity. We compare the effectiveness of off-pump coronary artery bypass (OPCAB) surgery versus conventional CABG using cardiopulmonary bypass and cardioplegic arrest, in a consecutive series of overweight patients. Methods:From April 1996 to April 2001, data from 4321 patients undergoing coronary revascularisation (mortality 1.4%) were prospectively entered into the Patients Analysis and Tracking System. Data were extracted for all patients with a body mass index (BMI) ≥ 25. In hospital mortality and early morbidity were compared between patients undergoing on- and off-pump coronary surgery. A risk-adjusted analysis was also carried out to assess the influence of surgery on outcomes. Results: 2844 overweight patients with BMI ≥ 25 were identified, and of these 674 (23.7%) were operated on with off-pump surgery. On-pump patients were less likely to have unstable angina, hypercholesterolaemia, to have coronary disease involving the left main stem, or to have a BMI ≥ 30. However, they had more extensive coronary disease, were more likely to have suffered previous myocardial infarction, and received more grafts than those undergoing off-pump surgery. Intra- and post-operative arrhythmias, inotropic use, and post-operative low cardiac output, use of IABP, blood loss, transfusion requirement, chest infections, neurological complications including permanent stroke, ICU and hospital stay all were significantly reduced in the off-pump group (all p < 0.05). After adjustment for age, gender, ejection fraction, extent of coronary disease, and degree of urgency, odd ratios (ORs) for most of the adverse outcomes investigated, confirmed significant benefit of off-pump surgery (table). The point estimate of the adjusted effect size for in-hospital mortality also indicated benefit from off-pump surgery (table). Variable On-Pump (2169) Off-Pump (674) OR/Mean Difference 95% CI p Death 20 (0.92%) 2 (0.29%) 0.37 0.08, 1.59 0.18 Postoperative MI 35 (1.6%) 14 (2.0%) 1.37 0.72, 2.62 0.337 New Inotropes 879 (40.5%) 219 (32.5%) 0.8 0.66, 0.97 0.02 New IABP 54 (2.5%) 5 (0.7%) 0.32 0.12, 0.8 0.015 Ward arrhythmia 320 (14.8%) 65 (9.6%) 0.63 0.47, 0.84 0.002 Chest Infection 106 (4.9%) 14 (2.1%) 0.43 0.24, 0.76 0.004 Neurolog. Complic. 59 (2.7%) 6 (0.9%) 0.36 0.15, 0.85 0.02 Blood Loss (ml) 939.9(512.3) 856.2 (582.1) −60.8 −111.7, −9.87 0.019 Total RBCs (unit) 1.05 (1.51) 0.436 (1.52) −0.51 −0.65, −0.37 0.0001 Total Platelets (unit) 0.24 (0.81) 0.08 (0.455) −0.157 −0.23, −0.08 0.0001 Total FFP (unit) 0.49 (1.48) 0.126 (0.72) −0.38 −0.5, −0.25 0.0001 Sternal rewiring 17 (0.78%) 1 (0.14%) −0.22 0.03, 1.7 0.15 Renal complications 98 (4.5%) 24 (3.56%) −0.74 0.44, 1.25 0.265 Hospital stay (day) 7.76 (4.26) 6.64 (3.04) −0.94 −1.39, −0.49 0.0001 Conclusions: These results suggest that off-pump surgery is safe, effective and associated with reduced morbidity in overweight patients.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.038
GPT teacher head0.307
Teacher spread0.269 · 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".

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Citations0
Published2002
Admission routes1
Has abstractyes

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