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Record W4383103223 · doi:10.21608/ejhm.2023.305795

Implications of a Novel Modified Strategy for Combined Coronary Artery Bypass Grafting and Mitral Valve Replacement for Ischaemic Heart Disease Patients

2023· article· en· W4383103223 on OpenAlexaboutno aff
Ahmed Saber, Ahmed El-gengehe, Eman Salah Eldin Elsakaan, Hisham M. Elbatanony

Bibliographic record

VenueThe Egyptian Journal of Hospital Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBypass graftingIschaemic heart diseaseCardiologyArteryInternal medicineCoronary artery diseaseMitral valve replacementMitral valveGraftingDiseaseSurgery

Abstract

fetched live from OpenAlex

Background: Conventional coronary artery bypass grafting (CABG) and mitral valve replacement (MVR) is the best definitive treatment for patients with ischemic heart disease (IHD) complicated with severe ischemic mitral regurgitation (IMR). Yet the procedure itself entails high intraoperative and early postoperative risks added to the higher preoperative risk profile of its candidates. The higher risk values are largely attributed to the longer duration taken for the combined procedures with mandatory prolonged aortic cross clamping time with the risk of longer cardiac arrest state and prolonged cardiopulmonary bypass (CPB) time. Objective: This study primarily aimed at tracing the impact of a modified strategy adopting CABG on beating on-pumped non-aortic cross clamped heart conserving cardiac ischemia only for the MVR step of the surgery. Patients and Methods: This retrospective observational non-randomized study included 56 patients presented with IHD complicated with severe IMR. They had been operated upon by CABG and MVR. They had anginal pain grade III according to Canadian Cardiovascular Society (CCS) grading of angina pectoris. Intraoperative aortic cross clamping time, CPB time and mortality, postoperative mortality, morbidity outcomes, overall hospital complications rate, left ventricular ejection fraction per cent (LVEF%), CCS grading and overall one-year survival rate were evaluated. Results: No intraoperative mortality happened. The in-hospital mortality was 5.35%. Multivariable analysis showed that old age (OR: 1.15 (95% CI: 1.090-1.210); p < /em>= 0.001), females (OR: 3.25 (95% CI: 1.030-10.801); p < /em>= 0.041) and critical preoperative condition (OR: 3.78 (95% CI: 1.179-12.798); p < /em>= 0.027) were the foreshows of operative mortality and showed that old age (OR: 1.16 (95% CI: 1.100-1.122); p < /em>= 0.001) and critical preoperative condition (OR: 4.68 (95% CI: 1.378-15.395); p < /em>= 0.008) were those of in-hospital morbidity. The overall hospital complication rate was 23.21%. The overall one-year survival rate was 94.64% with statistically significant improvement of LVEF% with a mean 51.53±3.41 (p < 0.001) and CCS grade whereas 92.45% were in CCS grade I and 7.54% in CCS grade II (p < 0.001). Conclusion: The adopted stepwise approach showed markedly better operative and postoperative outcomes than reported with statistically significant improvement in both functional clinical statuses, LVEF% and survival at one-year follow-up.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.338
Teacher spread0.306 · 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 designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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