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Intensive care of the patient following open abdominal aortic surgery

2006· review· en· W1976108697 on OpenAlexaff
Giuseppe Papia, David J. Klein, Thomas F. Lindsay

Bibliographic record

VenueCurrent Opinion in Critical Care · 2006
Typereview
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsUniversity Health NetworkUniversity of TorontoToronto General HospitalSt. Michael's Hospital
Fundersnot available
KeywordsMedicineAortic surgeryIntensive careIntensive care medicineGeneral surgeryEmergency medicineSurgeryAorta

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Abdominal aortic aneurysms still require open repair despite the advances that endovascular aneurysm repair has made in treating patients with significant operative risk. Older patients with significant comorbidities require open repair of their complex aneurysms when they fail to meet anatomic criteria for endovascular aneurysm repair. This review discusses the physiologic insult of abdominal aortic surgery. It aims to address which patients are the highest risk of postoperative morbidity, and advances in their intensive care unit management to reduce such morbidity. RECENT FINDINGS: Advanced age, chronic health dysfunction, emergency surgery, and multiple organ failure are independent predictors of postoperative mortality. Myocardial ischemia is the largest contributor to patient morbidity, with any rise in postoperative cardiac troponin I predicting increased in-hospital myocardial infarction and mortality. Highest-risk patients benefit most from optimizing perioperative cardiac status with beta-blockade. Perioperative treatment with fenoldopam may improve renal outcome. Tracheostomy to aid in weaning is associated with increased mortality but may improve outcome in patients with preoperative chronic obstructive pulmonary disease. SUMMARY: Demographic trends indicate that open aortic surgery will continue to be performed on older patients with complex aneurysms. Identifying patients at risk and optimizing their postoperative risk factors will improve outcomes.

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 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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.212
GPT teacher head0.481
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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations30
Published2006
Admission routes1
Has abstractyes

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