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Record W4398755986 · doi:10.1093/ndt/gfae069.328

#627 C3 glomerulonephritis and C3-dominant infection related glomerulonephritis—are they similar?

2024· article· en· W4398755986 on OpenAlexaff
Mythri Shankar, Ranjitha Siddalingappa, Sreedhara C.G., Amar U. Kishan, Karthik Tenannkore

Bibliographic record

VenueNephrology Dialysis Transplantation · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGlomerulonephritisImmunologyVirologyMedicineInternal medicineKidney

Abstract

fetched live from OpenAlex

Abstract Background C3 glomerulonephritis (C3GN) and C3 dominant infection related glomerulonephritis (C3-IRGN) comprise two important immune complex mediated diseases. C3GN is caused by dysregulation of the alternate pathway by congenital or acquired abnormalities in the complement pathway. C3-IRGN is often preceded by infection followed by recovery after the infection resolves. Although kidney biopsy findings may be similar in both conditions, the clinical course and treatment differs. We aimed to compare the demographic, clinical and lab parameters of C3GN and C3-IRGN. Methods All kidney biopsies conducted at Institute of Nephrourology, Bengaluru with dominant C3 on immunofluorescence from Jan. 2019-Dec. 2022 were included. The diagnosis of C3-IRGN was established using established criteria. Patients with C3GN had persistently low C3 for more than 12 weeks and no identifiable source of infection. Patients with C3GN were treated with steroids and cyclophosphamide, while those with C3-IRGN received antibiotics along with supportive medical management (including renin-angiotensin-aldosterone inhibition). Demographic, clinical and lab parameters were recorded and compared. Results 23 cases of C3-IRGN and 19 cases of C3GN were included in the study. The mean duration of follow-up was 2.79 ± 0.92 years for those with C3GN and 2.78 ± 0.90 years for those with C3-IRGN. C3GN was common in younger patients (second decade of life) while C3-IRGN was common in the fourth and fifth decades of life. C3GN (57.9%) and C3-IRGN (73.9%) were both common in males. Previous infection (26.1% vs 5.3%) and present infection (39.1% vs 15.8%) were significantly more common in C3-IRGN. Hematuria (52.6% vs 34.8%), patient reported “frothy” urine (47.4% vs 21.7%) was significantly more common in C3GN compared to C3-IRGN. 36.8% of patients with C3GN had IFTA of >50% compared to only 8.7% in C3-IRGN. Patients with both conditions most commonly presented with either acute nephritic syndrome or rapidly progressive glomerulonephritis. In contrast, presentation with CKD was significantly more common in C3GN (36.8% vs 0%, P = 0.002) compared to C3-IRGN, and patients with C3GN were more likely to require kidney replacement therapy (47.4% vs 21.7%, P = 0.002). At the end of follow up, 65.2% of patients with C3-IRGN attained complete recovery, compared with only 47.4% of C3GN patients. Conclusion There are characteristic differences between individuals with C3-IRGN and C3GN that may help to better ascertain diagnosis at presentation. Patients with C3GN tend to have worse prognosis, emphasizing the importance of treatments to slow CKD progression and avoid the need for kidney replacement therapy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.007
GPT teacher head0.229
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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