Pediatric Autoimmune Hemolytic Anemia Is Associated with a High Incidence of an Underlying Immune Disorder and High Mortality Rate
Bibliographic record
Abstract
Background: Autoimmune hemolytic anemia (AIHA) is a rare pediatric autoimmune disease in which there is limited guidance for evaluation and treatment and a poor understanding of the characteristics that influence prognosis and clinical course. Aim: To characterize the clinical features, laboratory findings, and treatment outcomes of children with AIHA over a 10-year period. Methods: An IRB-approved multicenter observational cohort study included patients (pts) from 15 institutions from the ITP Consortium of North America (ICON) who were 3 mo to 21 y and had hematology consultation between Jan 2011 and Dec 2020 with a diagnosis of AIHA. Post-stem cell transplant AIHA was excluded. Demographic, medical history, laboratory, and treatment data were collected. Continuous variables are summarized as mean (SD) or median (range) and compared with a two-sided t-test. Categorical variables are summarized as counts or percentages and compared with a two-sided chi-squared test. Results: A total of 402 pts were included: median age at diagnosis 7 y (n=397, range: 0-22) with median length of follow up 2.7 years (n=390, range: 0.1-19.2). 45% (180/398) were female. Warm AIHA (wAIHA) was the predominant subtype in 64% (252/395). Most pts (58%, 217/374) had a single AIHA episode that remitted; others had two episodes that remitted (8%, 29/374), multiple relapsing episodes (7%, 26/374), chronic course that remitted (13%, 48/374), or chronic ongoing course (14%, 54/374). Cold agglutinin disease (CA) was present in 12% (47/395), paroxysmal cold hemoglobinuria (PCH) in 6% (24/395), and mixed/unspecified AIHA in 18% (72/395). Secondary AIHA was common with 15% (57/389) with an underlying primary immunodeficiency, most commonly CVID (49%, 28/57), ALPS (33%, 19/57), and 22q11.2DS (16%, 9/57); and 16% (61/391) with another autoimmune disorder, most commonly SLE (49%, 30/61), neurologic disease (36%, 22/61), or APLA (16%, 10/61). Immune testing was sent in 100% (402/402) and abnormal in 60% (240/402). An immunologist was consulted in 136/342 (40%). Infectious testing was sent in 71% (260/366). Family history (1st or 2nd degree) was positive for immune cytopenias, immunodeficiency, or autoimmunity in 19% (78/402). Genetic testing (sent in 30%, 106/349), was most often a gene panel (67%, 71/106) or WES (28%, 30/106) with pathogenic findings identified in 30% (30/100). Evans syndrome (ES) was common (37%, 142/385) including ITP (92%, 131/142) and/or immune neutropenia (43%, 57/133) and most likely in those with wAIHA (47%, 113/241) compared with PCH (0%, 0/23) or CA (4%, 2/45). Compared with pts without ES (n=243), those with ES (n=142) were more likely to be older at first episode (9 y vs 5 y, p=0.010), have genetic testing (54% vs 18%, p<0.001), pathogenic gene findings (13% vs 5%, p=0.002), and treatment with steroid-sparing agents at first episode (35% vs 19%, p<0.001). There was no difference in response to steroids at first episode (77% vs 75%, p=0.748) or incidence of another autoimmune disorder (18% vs 14%, p=0.306). Similarly, those with secondary AIHA were more likely to be older at first episode (8 y vs 6 y, p=0.007) and have wAIHA (77% vs 62%, p=0.035). Secondary AIHA did not impact steroid response (77% vs 74%, p=0.653) or treatment with steroid-sparing agents at first episode (26% vs 24%, p=0.756). Pts with multiple episodes of AIHA were also more likely to have wAIHA (82% vs 52%, p<0.001), genetic testing (50% vs 19%, p<0.001), and treatment with steroid-sparing agents at first episode (34% vs 18%, p<0.001) but did not have a different age at presentation of 1st episode [8 y vs 5 y, p=0.203] or proportion with pathogenic gene findings (10% vs 6%, p=0.268). Of those with ongoing follow up, 68/249 (27%) of pts with wAIHA had active disease on treatment, 7/249 (3%) had active disease and were being observed, and 174/249 (70%) were in remission. Overall, mortality was 9.4%. Mortality was not associated with a diagnosis of ES, immunodeficiency or autoimmunity, number of AIHA episodes, or type of AIHA. Conclusion: AIHA is associated with significant morbidity in children with a high rate of secondary AIHA (~30%), 37% with ES, and 34% with a chronic or relapsing course. In this recently diagnosed cohort, there was a 9.4% mortality rate. These high morbidity and mortality rates require expanded testing, monitoring, and additional treatment approaches in this pediatric population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".