MétaCan
Menu
← Back to cohort
Record W2253224897 · doi:10.1161/str.45.suppl_1.tmp76

Abstract T MP76: Acute Kidney Injury in Acute Ischemic Strokes is Associated with Worse Outcomes

2014· article· en· W2253224897 on OpenAlexaff
Faraz Khursheed, Malik Adil, Fahad Saeed, Lionel A. Branch, Gabriel Vidal, Adnan I. Qureshi

Bibliographic record

VenueStroke · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsCollège Lionel Groulx
Fundersnot available
KeywordsMedicineAcute kidney injuryIntracerebral hemorrhageOdds ratioThrombolysisInternal medicineConfidence intervalConfoundingStroke (engine)CohortSubarachnoid hemorrhageMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Acute Kidney Injury (AKI) in setting of acute ischemic stroke (AIS) is associated with worse outcome. Objective: To determine the effect of AKI on outcomes of AIS patients treated in a large national cohort. In a sub-analysis we looked at the outcomes of AKI in AIS patients treated with and without thrombolytic. Methods: Data from all patients admitted to US hospitals between 2002 and 2010 with a primary discharge diagnosis of ischemic stroke and secondary diagnosis of AKI treated with or without IV thrombolysis were included. The effect of AKI on rates of intracerebral hemorrhage (ICH) and discharge outcomes was analyzed after adjusting for potential confounders using logistic regression analysis. Results: Of 7,068,334 patients with AIS, 372,223 (5.3%) had AKI. AIS patients with AKI had higher rates of moderate to severe disability (41.3% versus 30% p=<0.0001), ICH (1.0% versus 0.5% p=<0.0001) and In-hospital mortality (8.4% versus 2.9% p=<0.0001) compared to those without AKI. After adjusting for potential confounders AIS patients with AKI had higher odds of moderate to severe disability [Odds ratio (OR) 1.4, 95% confidence interval (CI) (1.3-1.4, p=<0.0001)], ICH [(OR) 1.6, 95% (CI) (1.5-1.8, p=<0.0001)] and death [(OR) 2.6, 95% (CI) (2.5-2.8, p=<0.0001)]. In a sub-analysis, AIS patients with AKI who were treated with thrombolytic had higher rates of moderate to severe disability (54.5% versus 41.1% p=<0.0001), ICH (7.4% versus 0.8% p=<0.0001) and In-hospital mortality (21.4% versus 8.2% p=<0.0001) compared to those were not treated with thrombolytic. After adjusting for potential confounders AIS patients with AKI who were treated with thrombolytic had higher odds of moderate to severe disability [(OR) 1.7, 95% (CI) (1.5-2.0, p=<0.0001)], ICH [(OR) 8.0, 95% (CI) (6.1-10.2, p=<0.0001)] and death [(OR) 2.7, 95% (CI) (2.3-3.2, p=<0.0001)] compared to those were not treated with thrombolytic. Conclusion: AKI in patients with AIS is associated with significantly higher rates of disability at discharge, ICH and in-hospital mortality. In such patients, administration of thrombolytic treatment further worsens the outcome.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.009
GPT teacher head0.263
Teacher spread0.254 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueStroke→Same topicAcute Ischemic Stroke Management→French-language works237,207→