Clinical Predictors of Intracranial Bleeding in Older Adults Who Have Fallen: A Cohort Study
Bibliographic record
Abstract
OBJECTIVES: Emergency department (ED) visits among older adults are frequently instigated by a fall at home. Some of these patients develop intracranial bleeding. The aim of this study was to identify the incidence of intracranial bleeding and the associated clinical features in older adults who present to the ED after falling. DESIGN: Prospective cohort study. SETTING: Three Canadian EDs. PARTICIPANTS: A total of 2 176 patients age 65 years or older who presented to the ED with a fall were assessed, and 1753 were included. Inclusion criteria were a fall on level ground, off a bed, chair, or toilet, or from one or two steps within 48 hours. MEASUREMENTS: Emergency physicians recorded predefined clinical findings on initial assessment. The primary outcome was intracranial bleeding, diagnosed either by computed tomography at the index visit or within 42 days. Associations between baseline clinical findings and the presence of intracranial bleeding were assessed with multivariable logistic regression. RESULTS: A total of 1753 patients (median age = 82 y) were enrolled, of whom 39% were male, 35% were on antiplatelet therapy, and 25% were on an anticoagulant. The incidence of intracranial bleeding was 5.0% (95% confidence interval [CI] = 4.1-6.1). Overall, 76 patients were diagnosed at the index ED visit, and 12 were diagnosed during follow-up. Multivariable regression identified four clinical variables that were independently associated with intracranial bleeding: new abnormalities on neurologic examination (odds ratio [OR] = 4.4; 95% CI = 2.4-8.1), bruise or laceration on the head (OR = 4.3; 95% CI = 2.7-7.0), chronic kidney disease (OR = 2.4; 95% CI = 1.3-4.6), and reduced Glasgow Coma Scale from normal (OR = 1.9; 95% CI = 1.0-3.4). CONCLUSION: The incidence of intracranial bleeding in our study was 5.0%. We found significant associations between intracranial bleeding and four simple clinical variables. We did not find significant associations between intracranial bleeding and antiplatelet or anticoagulant use. J Am Geriatr Soc 68:970-976, 2020.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".