Post‐streptococcal glomerulonephritis in Sydney: A 16‐year retrospective review
Bibliographic record
Abstract
AIM: Post-streptococcal glomerulonephritis (PSGN) is a frequent cause of acute nephritis in children. Numerous studies have described PSGN in high-risk populations yet few data describing PSGN in a low-incidence population exist. This study aimed to describe the epidemiology, clinical manifestations, diagnosis, complications and outcomes of PSGN in an urban Australian population. METHODS: A 16-year retrospective review of case notes and laboratory data was conducted at a tertiary Sydney paediatric hospital. RESULTS: Thirty-seven children were treated for PSGN with a mean age of 8.1 years (range 2.6-14.1 years). Twenty-eight subjects (75.7%) had a history of a recent upper respiratory tract or skin infection. Hypertension and/or oedema was present in 29 subjects (78.4%). Streptococcal pharyngitis was identified as the likely source in 17 subjects (45.9%). Skin infections occurred less frequently. Antibodies against streptolysin O, streptokinase or deoxyribonuclease B were elevated when a single titre was measured in 35 subjects (94.6%). Thirty subjects (81.1%) developed renal impairment (median peak creatinine, 95 micromol/L, range 39-880 micromol/L). No correlation was demonstrated between peak creatinine, age, ethnicity, streptococcal titres and serum complement levels. The mean length of admission was 8.2 days. Seven subjects (18.9%) had a complicated course with three subjects requiring dialysis. Only one subject has ongoing renal dysfunction. CONCLUSION: Significant differences are seen in a low-incidence urban Australian population with PSGN when compared with endemic or epidemic disease in high-risk populations. The higher rates of complications that were seen compared with previously studied populations need further clarification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".