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Record W2922533100 · doi:10.1182/blood-2018-99-118369

Management of Cerebral Vein Thrombosis in a Canadian Tertiary Hospital

2018· article· en· W2922533100 on OpenAlexaffabout
Lana A. Castellucci, Philip Chiang

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicinePediatricsPregnancyThrombosisVenous thrombosisMedical recordStroke (engine)Deep veinRetrospective cohort studyEmergency medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Introduction: Cerebral vein thrombosis (CVT) is an uncommon cause of stroke and is more likely to affect young adults and children. Women have a three-fold increased risk compared to men, owing to gender specific factors such as oral contraceptive use (OCP), pregnancy, and hormone replacement therapies. The presenting symptoms of CVT are non-specific and include headache, seizure, focal neurological deficits, or coma as the most severe presentation. The rarity and variable symptoms of the disease leads to delayed diagnosis and implementation of treatment. With improved imaging techniques and increased awareness in recent years, CVT is now more often recognized. Aim: To evaluate patients admitted to The Ottawa Hospital with diagnosis of CVT including demographics, symptoms at presentation, risk factors for CVT, management practices during hospital stay, and discharge disposition. Where available, 12-month follow-up information is provided. Methods: A retrospective chart review of patients admitted to The Ottawa Hospital with diagnosis of CVT between January 2010 - December 2017. Patients were identified using ICD-10 codes from the Ottawa Hospital Data Warehouse. Results: 123 patients were identified in the Data Warehouse and manual chart review confirmed 61 patients diagnosed with CVT. The mean age was 46 years, and 44 (72%) were women. The average hospital stay was 10 days (range 1-66 days) and 25 patients (40%) were admitted to a monitored setting during hospitalization. Only 4 patients had prior history of venous thrombosis. 38 patients (62%) had provoking risk factors for CVT including: surgery (n=6); cancer (5); pregnancy/peripartum (5); oral contraceptive use (21); the remaining 23 patients were unprovoked CVT events. Imaging findings at diagnosis showed 17 patients (28%) had intracranial hemorrhage such as subarachnoid hemorrhage and intraparenchymal bleeding; 17 (28%) had infarction; and 13 (21%) had cerebral edema. All patients received parenteral anticoagulation at time of CVT diagnosis: 54 (89%) with IV unfractionated heparin and the remainder received low molecular weight heparins. One patient received catheter directed thrombolysis, one patient had mechanical embolectomy, two patients underwent decompressive craniectomy, and one patient had both catheter directed thrombolysis and decompression surgery. Four patients died during hospital stay, one directly related to CVT and another due to anticoagulation associated intracranial hemorrhage. More than half of patients were started on warfarin at the time of hospital discharge and no patients were discharged on direct oral anticoagulants (DOACs). 48 patients (79%) were discharged home, 7 (12%) were discharged to rehabilitation programs, and 1 patient (2%) required transfer to nursing home facility. During 12-month follow-up 45 patients (74%) had been transitioned to warfarin and 3 (5%) were on DOACs. Summary: In this cohort of patients admitted with CVT to a large Canadian academic hospital, many were young women and were related to hormonal therapies or peripartum state. All patients received parenteral anticoagulation in hospital and warfarin was the most common oral anticoagulant prescribed. Patients with severe CVT required invasive intervention, with two deaths attributed to CVT or complications from anticoagulation. Most patients returned home within 12-months of discharge from hospital. Disclosures Castellucci: LEO Pharma: Honoraria; Aspen: Honoraria; BI: Honoraria; Sanofi: Honoraria; Bayer: Honoraria; BMS/Pfizer: Honoraria.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.094
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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