Henoch-Schönlein Purpura in Children: An Updated Review
Bibliographic record
Abstract
BACKGROUND: Henoch-Schönlein purpura (HSP) is an IgA-mediated systemic smallvessel vasculitis with a predilection for the skin, gastrointestinal tract, joints, and kidneys. It is the most common form of systemic vasculitis in children. OBJECTIVE: The study aimed to familiarize physicians with the etiopathogenesis, clinical manifestations, evaluation, and management of children with Henoch-Schönlein purpura. METHODS: A PubMed search was conducted in January 2020 in Clinical Queries using the key terms "Henoch-Schönlein purpura" OR "IgA vasculitis" OR "anaphylactoid purpura". The search strategy included meta-analyses, randomized controlled trials, clinical trials, observational studies, and reviews published within the past 10 years. Only papers published in the English literature were included in this review. This paper is based on, but not limited to, the search results. RESULTS: Globally, the incidence of HSP is 10 to 20 cases per 100, 000 children per year. Approximately 90% of cases occur in children between 2 and 10 years of age, with a peak incidence at 4 to 7 years. The diagnosis should be based on the finding of palpable purpura in the presence of at least one of the following criteria, namely, diffuse abdominal pain, arthritis or arthralgia, renal involvement (hematuria and/or proteinuria), and a biopsy showing predominant IgA deposition. Most cases are self-limited. The average duration of the disease is 4 weeks. Long-term complications are rare and include persistent hypertension and end-stage kidney disease. Therapy consists of general and supportive measures as well as treatment of the sequelae of the vasculitis. Current evidence does not support the universal treatment of HSP patients with corticosteroids. Oral corticosteroids may be considered for HSP patients with severe gastrointestinal pain and gastrointestinal hemorrhage. CONCLUSION: Most cases of HSP have an excellent outcome, with renal involvement being the most important prognostic factor in determining morbidity and mortality. Unfortunately, early steroid treatment does not reduce the incidence and severity of nephropathy in children with HSP. In HSP children who have severe nephritis or renal involvement with proteinuria of greater than 3 months, an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker should be considered in addition to corticosteroids to prevent and/or limit secondary glomerular injury.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".