Ten years of pneumococcal‐associated haemolytic uraemic syndrome in New Zealand children
Bibliographic record
Abstract
AIM: To describe the epidemiology, clinical features, management and outcome of pneumococcal-associated haemolytic-uraemic syndrome (P-HUS) in New Zealand over the past decade. METHODS: A retrospective chart review of children with P-HUS from 1998 to 2007 that were prospectively reported to the New Zealand Paediatric Surveillance Unit. P-HUS was defined as microangiopathic haemolytic anaemia (Hb <100 g/L with fragmented red blood cells), thrombocytopaenia (platelet count <130 x 10(9)/L), acute renal impairment with oliguria and elevated plasma creatinine, and confirmed or suspected pneumococcal infection. RESULTS: Eleven children (nine male, two female), predominately Maori and Polynesian (10 children) were studied. The median age was 8.5 months. The median duration of hospitalisation was 25 days. Of the infections, 10 were confirmed pneumococcal (six pneumonia, four meningitis) and one pneumonia was suspected pneumococcal (culture negative, however T activation positive). Nine patients required dialysis for a median duration of 13 days. One child with meningitis died after therapy was withdrawn because of severe neurological injury. One patient developed end stage kidney disease and two further children had evidence of persisting renal sequelae at follow-up. CONCLUSIONS: Pneumococcal disease remains an important public health problem in New Zealand children, particularly those of Maori and Pacific Island ethnicity. P-HUS should be considered in pneumococcal disease associated with severe haematological and renal abnormalities. These children should be monitored long-term, as they are at risk of permanent renal 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".