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Clinical Characteristics and Outcomes Associated With Oral Anticoagulant Use Among Patients Hospitalized With Intracerebral Hemorrhage

2021· article· en· W3131719259 on OpenAlexaff
Ying Xian, Shuaiqi Zhang, Taku Inohara, Maria V. Grau‐Sepulveda, Roland Matsouaka, Eric D. Peterson, Jonathan P. Piccini, Eric E. Smith, Kevin N. Sheth, Deepak L. Bhatt, Gregg C. Fonarow, Lee H. Schwamm

Bibliographic record

VenueJAMA Network Open · 2021
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of CalgaryVancouver General HospitalHotchkiss Brain InstituteUniversity of British Columbia
FundersNational Center for Advancing Translational Sciences
KeywordsMedicineWarfarinIntracerebral hemorrhageOdds ratioStroke (engine)Internal medicineAnticoagulantModified Rankin ScaleCohortCohort studyRetrospective cohort studyAtrial fibrillationIschemic stroke

Abstract

fetched live from OpenAlex

Importance: Although the use of factor Xa (FXa) inhibitors has increased substantially over the past decade, there are limited data on characteristics and outcomes of FXa inhibitor-associated intracerebral hemorrhage (ICH). Objective: To investigate the association between prior oral anticoagulant use (FXa inhibitors, warfarin, or none) and in-hospital outcomes among patients with nontraumatic ICH. Design, Setting, and Participants: This is a cohort study of 219 701 patients with nontraumatic ICH admitted to 1870 hospitals in the Get With The Guidelines-Stroke registry between October 2013 and May 2018. Data analysis was performed in December 2019. Exposures: Anticoagulation therapy before ICH. Main Outcomes and Measures: The primary outcome was in-hospital mortality. Secondary outcomes were a composite measure of in-hospital mortality or discharge to hospice, discharge home, independent ambulation, and modified Rankin Scale (mRS) score at discharge. Results: Of 219 701 patients (mean [SD] age, 68.2 [15.3] years; 104 940 women [47.8%]), 9202 (4.2%) were taking FXa inhibitors, 21 430 (9.8%) were taking warfarin, and 189 069 (86.0%) were not taking any oral anticoagulant before ICH. Patients taking FXa inhibitors or warfarin were older and had higher prevalence of cardiovascular risk factors. Compared with those not taking an oral anticoagulant (42 660 of 189 069 patients [22.6%]), the in-hospital mortality risk was higher for both FXa inhibitors (2487 of 9202 patients [27.0%]; adjusted odds ratio [aOR], 1.27; 95% CI, 1.20-1.34; P < .001) and warfarin (7032 of 21 430 patients [32.8%]; aOR, 1.67; 95% CI, 1.60-1.74; P < .001). Both FXa inhibitors (3478 of 9202 patients [37.8%]; aOR, 1.19; 95% CI, 1.13-1.26; P < .001) and warfarin (9151 of 21 430 patients [42.7%]; aOR, 1.50; 95% CI, 1.44-1.56; P < .001) were associated with higher odds of death or discharge to hospice compared with not taking oral anticoagulation (58 022 of 189 069 patients [30.7%]). Although the rates of discharge home, independent ambulation, mRS scores of 0 or 1, and mRS scores of 0 to 2 were numerically lower among patients taking FXa inhibitors, these differences were not significant compared with patients not taking oral anticoagulants. In contrast, patients taking FXa inhibitors were less likely to die (aOR, 0.76; 95% CI, 0.72-0.81; P < .001) or to experience death or discharge to hospice (aOR, 0.79; 95% CI, 0.75-0.84; P < .001), more likely to be discharged home (aOR, 1.18; 95% CI, 1.10-1.26; P < .001), and had better mRS scores at discharge (eg, mRS scores of 0-1: aOR, 1.24; 95% CI, 1.09-1.40; P < .001) than those treated with warfarin. Concomitant warfarin and antiplatelet therapy (either single or dual) was associated with worse outcomes compared with taking warfarin alone (eg, in-hospital mortality for dual-antiplatelet agents: aOR, 2.07; 95% CI, 1.72-2.50; P < .001). However, such incremental risk was not significant in patients taking FXa inhibitors. Conclusions and Relevance: In this cohort study, FXa inhibitor-associated ICH was associated with higher risk of mortality or death or discharge to hospice than not taking an oral anticoagulant, but patients taking FXa inhibitors had better outcomes than those with warfarin-related ICH.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.054
GPT teacher head0.332
Teacher spread0.278 · 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.

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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Citations49
Published2021
Admission routes1
Has abstractyes

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