Critical Bleeding in Adults and Children with Immune Thrombocytopenia: A Multicentre Cohort Study
Bibliographic record
Abstract
Introduction Immune thrombocytopenia (ITP) is a rare autoimmune disease that causes low blood platelets and an increased risk of bleeding. Critical bleeds in patients with ITP such as intracranial hemorrhage (ICH) are life-threatening events that can cause death or life-long morbidity. Treatment of ITP bleeding emergencies requires a rapid, coordinated, multidisciplinary approach. The objective of this study was to describe critical ITP bleeds in adults and children, including the treatments they received and their outcomes. These data will be used to inform future guidelines on ITP bleeding emergencies. Methods We conducted a retrospective cohort study of ITP patients with critical bleeds across 7 centers in the United States and Canada from 2010 - 2020. Eligible patients were adults and children with an established diagnosis of ITP and a platelet count <20 x109/L at presentation to the emergency room. A critical ITP bleed was defined using published criteria: (i) a bleed in a critical anatomical site including ICH, intraspinal, intraocular, retroperitoneal, pericardial, or intramuscular with compartment syndrome; or (ii) an ongoing bleed that results in hemodynamic instability or respiratory compromise (Sirotich et al., 2021). We summarized the data using descriptive statistics. None of the critical bleeds identified as intraocular were associated with vision loss, thus these were excluded post-hoc. Results We identified 1226 patients (n=296 adults; and n= 930 children) with ITP from 7 centers in North America who had a platelet count <20 x109/L at presentation to the emergency room for evaluation. Of those, 1192 (97.2%) had any type of bleeding, and 28 (2.2%) had critical bleeding (n=15 adults; and n=13 children). Among the 28 patients with critical bleeding, 16 (57.1%) were female. Median (IQR) age for adults was 68 years (45-74); and median age for children was 11 years (5-16). Median lowest platelet count at the time of the critical bleed was 8 x109/L (IQR 3-15) for adults and 3 x109/L (IQR 1-6) for children. Most critical bleeds were ICH (n=18; 64.3%), followed by epistaxis (n=4; 14.3%), gynecological (n=3; 10.7%), gastrointestinal (n=2; 7.1%), and pulmonary hemorrhage (n=1; 3.6%). Of the 28 ITP patients with a critical bleed, 14 (50%) were newly diagnosed (<3 months). Ten patients were admitted to the intensive care unit (n=4 adults; n=6 children). Interventions used to treat critical bleeds were platelet transfusion (n=19), intravenous immune globulin (IVIG; n=18), methylprednisolone (n=13), prednisone (n=11), plasma transfusion (n=6), dexamethasone (n=5), and romiplostim (n=4). One patient (20 years old) underwent urgent splenectomy. Time to administration of first ITP treatment was 4.7 hours (median; IQR 3.2-9.5) for 21 evaluable patients; 6.9 hours (median; IQR 4.3-9.6) for adults (n=11) and 3.5 hours (median; IQR 2.7-7.8) for children (n=10). The most common treatment combination was corticosteroids, IVIG and platelet transfusion. Overall, 10 patients died (35.7%), including 7 (46.7%) adults and 3 (23.1%) children. Causes of death were bleeding (ICH, n=7; gastrointestinal bleeding, n=1; pulmonary hemorrhage, n=1) and septic shock (n=1). Four patients developed neurological disability (14.3%, n=2 adults; and n=2 children). Conclusion Critical bleeds in ITP patients were rare, representing 2.2% of ITP patients in the emergency room with severe thrombocytopenia; yet, they were associated with a high risk of death (35.7%). ICH was the most common critical bleed. Common interventions included corticosteroids, IVIG and platelet transfusion; however, time to first treatment was approximately 5 hours, and longer for adults than children. A standardized approach to the management of ITP critical bleeds is needed.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".