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Record W4404960500 · doi:10.34067/kid.0000000663

CKD Progression after Acute Kidney Injury

2024· article· en· W4404960500 on OpenAlexafffund
Sara Wing, Ary Serpa Neto, Rinaldo Bellomo, Edward G. Clark, Martin Gallagher, Orfeas Liangos, Bhanu Prasad, Samuel A. Silver, Ashita Tolwani, Sean M. Bagshaw, Ron Wald

Bibliographic record

VenueKidney360 · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsAlberta Health ServicesQueen's UniversityRegina General HospitalUniversity of OttawaUniversity of TorontoSt. Michael's Hospital
FundersHealth Research Council of New ZealandNational Health and Medical Research CouncilMedical Research CouncilCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsKidney diseaseAcute kidney injuryMedicineComplicationIntensive care medicineInternal medicineRenal replacement therapy

Abstract

fetched live from OpenAlex

Key Points Development or progression of CKD occurred in almost 40% of patients after an episode of severe AKI. Receipt of KRT, regardless of allocation to an accelerated or standard initiation strategy, was associated with development or progression of CKD. This study helps identify a subset of patients at risk of CKD after severe AKI who would benefit from dedicated kidney follow-up after discharge. Background CKD is a common complication after AKI. We aimed to evaluate whether a KRT initiation strategy had an effect on CKD progression. Secondarily, we aimed to identify factors that influenced the development or progression of CKD after severe AKI. Methods This secondary analysis of the Standard versus Accelerated Initiation of Renal Replacement Therapy in AKI trial included patients with outpatient serum creatinine values available in the year before hospitalization and who were alive at 90 days after randomization. Our main analysis focused on patients who had definitive assessment of kidney function at 90 days after randomization. Predictor markers included patient demographics, comorbidities, markers of acute illness, laboratory values, receipt of KRT, and KRT treatment strategy (accelerated versus standard). The primary outcome was CKD progression, a composite of de novo CKD, defined as new eGFR <60 ml/min per 1.73 m 2 if baseline eGFR was ≥60 ml/min; a decline in eGFR ≥25% if baseline eGFR was <60 ml/min; or KRT dependence at day 90. The association of KRT treatment strategy with CKD progression was assessed in an unadjusted mixed-effect logistic regression model. Results Of the 401 surviving patients with a baseline serum creatinine, 39% experienced CKD progression. KRT initiation strategy had no effect on CKD progression (accelerated arm [41%], versus the standard arm [38%], odds ratio, 1.13 [95% confidence interval, 0.75 to 1.72]). Receipt of KRT and aortic surgery were the most potent risks of CKD progression. Conclusions These findings suggest that CKD progression is common after severe AKI. Risk factors of CKD progression included receipt of KRT and aortic surgery, suggesting that these patients should be prioritized for dedicated kidney follow-up after hospital discharge. Clinical Trial registry name and registration number: NCT01557361.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.013
GPT teacher head0.366
Teacher spread0.354 · 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".

Quick stats

Citations3
Published2024
Admission routes2
Has abstractyes

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