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Record W2790505362 · doi:10.1097/ccm.0000000000003013

Outcomes and Costs of Patients Admitted to the ICU Due to Spontaneous Intracranial Hemorrhage

2018· article· en· W2790505362 on OpenAlexaff
Shannon M. Fernando, Peter M. Reardon, Dar Dowlatshahi, Shane English, Kednapa Thavorn, Peter Tanuseputro, Jeffrey J. Perry, Erin Rosenberg, Eelco F. M. Wijdicks, Daren K. Heyland, Kwadwo Kyeremanteng

Bibliographic record

VenueCritical Care Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsQueen's UniversityOttawa HospitalBruyèreUniversity of Ottawa
Fundersnot available
KeywordsMedicineSubarachnoid hemorrhageIntracerebral hemorrhageAnesthesiaRetrospective cohort studyNeurointensive carePopulationCohortSubdural hemorrhageSurgeryPediatricsInternal medicineHematoma

Abstract

fetched live from OpenAlex

OBJECTIVES: Spontaneous intracranial hemorrhage, including subarachnoid hemorrhage and intracerebral hemorrhage, is associated with significant morbidity and mortality. Although many of these patients will require ICU admission, little is known regarding their outcomes and the costs incurred. We evaluated this population in order to identify outcomes and cost patterns. DESIGN: Retrospective cohort analysis of a health administrative database. SETTING: Two ICUs within a single hospital system. PATIENTS: Eight-thousand four-hundred forty-seven patients admitted to ICU from 2011 to 2014, of whom 332 had a diagnosis of spontaneous intracranial hemorrhage. Control patients were defined as randomly selected age, sex, and comorbidity index-matched nonintracranial hemorrhage ICU patients (1:4 matching ratio). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Mean age of ICU intracranial hemorrhage patients was 60.1 years, and 120 (36.1%) died prior to discharge. Intracranial hemorrhage was associated with a mean total cost of $75,869, compared with $52,471 in control patients (p < 0.01). Mean cost per survivor of intracranial hemorrhage patients was $118,813. Subarachnoid hemorrhage was associated with significantly higher mean total costs than intracerebral hemorrhage ($92,794 vs $53,491; p < 0.01) and higher mean cost per day ($4,377 vs $3,604; p < 0.01). Patients with intracranial hemorrhage who survived to hospital discharge were significantly costlier than decedents ($100,979 vs $30,872; p < 0.01). Intracranial hemorrhage associated with oral anticoagulant use had a mean total cost of $152,373, compared with $66,548 in nonoral anticoagulant intracranial hemorrhage (p < 0.01). CONCLUSIONS: Patients admitted to ICU with intracranial hemorrhage have high costs and high mortality, leading to elevated cost per survivor. Subarachnoid hemorrhage patients incur greater costs than intracerebral hemorrhage patients, and oral anticoagulant-associated intracerebral hemorrhage is particularly costly. Our findings provide novel information regarding financial impact of this common ICU population.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.322
Teacher spread0.307 · 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".

Quick stats

Citations57
Published2018
Admission routes1
Has abstractyes

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