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Record W4322389693 · doi:10.21037/jtd-23-10

Systematic review and meta-analysis of the risk factors for postoperative delirium in patients with acute type A aortic dissection

2023· article· en· W4322389693 on OpenAlexaboutno aff
Shijian Wang, Tianguang Wang, Chaoyang Zhao, Dewen Lin

Bibliographic record

VenueJournal of Thoracic Disease · 2023
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDeliriumAortic dissectionCochrane LibraryOdds ratioMeta-analysisInclusion and exclusion criteriaIncidence (geometry)Confidence intervalHypoxemiaDissection (medical)SurgeryInternal medicineIntensive care medicineAortaPathology

Abstract

fetched live from OpenAlex

Background: Delirium is a common postoperative complication of acute type an aortic dissection, which is a serious threat to the patient's life after operation. However, there are many risk factors for delirium and there are different conclusions. The aim of this study was to systematically analyze the risk factors for postoperative delirium in patients with acute type a aortic dissection by means of meta-analysis. Methods: Literature related to the risk factors of postoperative delirium in patients with acute type A aortic dissection was searched via the China National Knowledge Infrastructure (CNKI), cqvip.com (VIP), WanFang, PubMed, Willey Library, Embase, and Web of Science databases. Two persons independently conducted literature screening, data extraction and literature quality evaluation according to the inclusion and exclusion criteria. The quality of literature was evaluated with Newcastle-Ottawa Scale (NOS). R 4.2.1 was used to compare the risk factors for meta-analysis. Results: After screening, 12 articles were included with a total of 2,511 cases, and 4 articles were at medium risk of bias and 8 articles were at low risk of bias. The meta-analysis results showed that patients in the delirium group had a higher probability of postoperative hypoxemia [odds ratio (OR) =1.65, 95% confidence interval (CI): 1.28-2.13, P<0.01], longer postoperative duration of ventilator assistance (OR =3.05, 95% CI: 2.47-3.77, P<0.01), higher incidence of renal insufficiency (OR =1.86, 95% CI: 1.33-2.58, P<0.01), lower hemoglobin levels (OR =0.33, 95% CI: 0.23-0.48, P<0.01), longer postoperative stay duration in the intensive care unit (ICU) (OR =2.25, 95% CI: 2.13-2.37, P<0.01), longer duration of hospitalization (OR =2.74, 95% CI: 2.37-3.16, P<0.01), and higher postoperative Acute Physiology and Chronic Health Evaluation II (APACHE II) scores (OR =1.01, 95% CI: 0.90-1.12, P=0.92). Conclusions: Post-op aortic dissection in patients with acute type A diabetes should be monitored for oxygen and blood levels. When patients had prolonged mechanical ventilation, renal insufficiency, decreased hemoglobin, and prolonged ICU stay, timely intervention is needed to prevent the high-risk factors of postoperative delirium.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.346
Teacher spread0.321 · 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 designMeta-analysis
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

Citations10
Published2023
Admission routes1
Has abstractyes

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