WCN25-1928 Clustering patients with chronic kidney disease based on routinely measured laboratory biomarkers and its association with disease progression; findings from a population level feasibility study from British Columbia, Canada
Bibliographic record
Abstract
the study period.Nephrotic syndrome is defined in children by 24hour proteinuria greater than or equal to 50 mg/kg/24 hours, hypoalbuminemia less than 25-30 g/l and hypoproteinemia less than 50-55 g/l.Results: A total of 26 patients had fulfilled the inclusion criteria, with a hospital prevalence of 0.69%.The males predominated with male to female ratio of 1.3.Most children were aged 5 to 10 years (57.69%).The mean age at diagnosis was 8 Æ 2.9 years.In the majority of cases (61.54%) the delay between the onset of symptoms and the first consultation was more than 14 days.Edema was found in all patients at the time of consultation.The 24-hour proteinuria was between 50 to 100 mg / kg / day in 65% of cases with an average of 100.16Æ 47.64 mg / kg / d.Mean serum protein and albumin were respectively 41.19 Æ 12.41g / L and 18.46 Æ 5.97g / L. The NS was pure in 15 patients or in 57.69% of cases and impure in 11 patients or in 42.31% of cases.Treatment was based on oral corticosteroid therapy (prednisolone) at a dosage of 2 mg/kg/day.Steroid sensitivity was observed in 22 patients, i.e. 84.61%, one child was steroid dependent (3.85%) and two children were steroid resistance, i.e. 7.69%.One child died due to severe renal impairment (mortality of 3.85%).Only one patient had benefited from a renal biopsy.Conclusions: NS remains common in children at the HNZ.The improvement of the technical platform for PBR and anatomopathological examinations as well as the establishment of social security prove necessary for a better management of SN in children at the HNZ.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".