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Record W2991494269 · doi:10.1177/2054358119852937

STandard versus Accelerated initiation of Renal Replacement Therapy in Acute Kidney Injury: Study Protocol for a Multi-National, Multi-Center, Randomized Controlled Trial

2019· article· en· W2991494269 on OpenAlexfundaboutno aff

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsnot available
FundersHealth Research Council of New ZealandNational Health and Medical Research CouncilCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchBaxter International
KeywordsMedicineRenal replacement therapyAcute kidney injuryRandomized controlled trialIntensive care medicineRenal functionCreatinineAcute tubular necrosisInternal medicine

Abstract

fetched live from OpenAlex

Background: The optimal timing of renal replacement therapy (RRT) initiation in critically ill patients with acute kidney injury (AKI) remains controversial. Objective: In critically ill patients with AKI, to determine whether the accelerated initiation of RRT reduces mortality compared to a strategy of standard RRT initiation whereby RRT is initiated if urgent complications of AKI arise or based on clinician judgment. Design: Pragmatic allocation-concealed open-label randomized controlled trial. Setting: Up to 170 centers in Australia, Austria, Belgium, Brazil, Canada, China, France, Germany, Ireland, Italy, Finland, New Zealand, Switzerland, the United Kingdom, and the United States. Patients: We will enroll at least 2,866 critically ill patients with AKI stages 2 or 3 (defined as doubling of serum creatinine from baseline or serum creatinine ≥354 µmol/L with increase of ≥27 µmol/L from baseline or urine output <6 mL/kg in preceding 12 hours). Patients will be excluded if 1 or more of the following is/are present: potassium >5.5 mmol/L; bicarbonate <15 mmol/L; concomitant intoxication necessitating RRT; philosophy of care precluding escalation to RRT; any RRT in preceding 2 months; kidney transplant within the past year; preexisting estimated glomerular filtration rate <20 mL/min/1.73 m 2 ; AKI etiology attributable to obstruction, glomerulonephritis, vasculitis, microangiopathy, or acute interstitial nephritis; clinician opinion that urgent RRT is mandated; or clinician opinion that RRT must be deferred. Methods: Participants will be randomized to one of two strategies: accelerated RRT initiation, which entails the initiation of RRT within 12 hours of the patient fulfilling all eligibility criteria, or standard RRT initiation, whereby clinicians would be discouraged from initiating RRT unless a conventional trigger for RRT initiation arises or if AKI persists for ≥72 hours. Measurements: The primary outcome is all-cause mortality at 90 days following randomization. Key secondary outcomes include RRT dependence, residual kidney function, health services use, and health-related quality of life, all assessed at 90 days after randomization. In jurisdictions where it is feasible, participants will be followed through day 365 using linked administrative data. Results: Through March 18, 2019, we have recruited 2623 (92% of target) participants. Limitations: Reliance on physician declaration of equipoise may create heterogeneity across the trial population; open-label design may introduce bias and uneven postrandomization cointerventions; variations in practice (eg, choice of RRT modality and RRT prescription) likely exist across sites. Conclusions: Once complete, the STARRT-AKI trial will provide the most robust evidence to date to guide clinical practice on the optimal timing of RRT initiation among critically ill patients with AKI. Trial registration: Clinicaltrials.gov NCT02568722.

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)0.026
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.042
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.031
Meta-epidemiology (narrow)0.0070.002
Meta-epidemiology (broad)0.0150.007
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0420.006

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 head0.115
GPT teacher head0.456
Teacher spread0.341 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations33
Published2019
Admission routes2
Has abstractyes

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