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Record W4396994565 · doi:10.1681/asn.20213210s1123c

Association of an AKI Follow-Up Clinic with Patient Outcomes and Care Processes: A Propensity-Matched Cohort Study

2021· article· en· W4396994565 on OpenAlexaff
Samuel A. Silver, Neill K. J. Adhikari, Nivethika Jeyakumar, Ziv Harel, Stephanie N. Dixon, Bin Luo, Edward G. Clark, Javier A. Neyra, Chaim M. Bell, Ron Wald

Bibliographic record

VenueJournal of the American Society of Nephrology · 2021
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsOttawa HospitalUniversity of TorontoWestern UniversitySunnybrook Health Science CentreHealth Sciences CentreQueen's University
Fundersnot available
KeywordsPropensity score matchingMedicineCohortCohort studyIntensive care medicineAssociation (psychology)Internal medicineEmergency medicinePsychology

Abstract

fetched live from OpenAlex

Background: Survivors of AKI are at higher risk of chronic kidney disease and death, but few patients see a nephrologist following hospital discharge. Our objectives were to determine whether an AKI Follow-up Clinic is associated with changes in care processes and a reduction in major adverse kidney events in comparison to survivors of AKI who received usual care. Methods: We identified all patients ≥ 18 years of age who survived a hospitalization with AKI from February 1, 2013 to September 30, 2017 and visited our hospital's AKI Follow-up Clinic within 6-months of hospital discharge. We used propensity scores to match each patient to 4 patients in the region who received usual care. We randomly assigned the control group index dates to ensure these patients were alive and could have received follow-up care. The primary outcome was time to a major adverse kidney event, defined as death, chronic dialysis, or CKD (newly sustained eGFR < 60mL/min/1.73m2 or a sustained decrease in eGFR ≥ 25% from baseline). We also measured processes of care after AKI, which included nephrologist visits and serum creatinine/proteinuria testing. Results: We matched 170 AKI Follow-up Clinic patients to 680 patients who received usual care. Approximately 75% in each group had KDIGO stage 2-3 AKI, with similar mean eGFR [SD] at baseline (64.6 [25.1] versus 64.2 [27] mL/min/1.73m2) and hospital discharge (49.6 [24.6] versus 49.0 [28.1] mL/min/1.73m2). The AKI Follow-up Clinic group had more nephrology visits per patient-year (1.4 [3.1] versus 0.7 [1.5]), with a greater proportion completing serum creatinine (94% versus 84%) and proteinuria (49% versus 25%) tests within 90-days of hospital discharge. Care in the AKI Follow-up Clinic was not associated with time to a major adverse kidney event (HR=0.90, 95% CI 0.72-1.13), but it was associated with a decreased risk of death (HR=0.55, 95% CI 0.37-0.82). Conclusions: The AKI Follow-up Clinic was not associated with a decreased risk of major adverse kidney events, possibly due to an increased risk of CKD from more serum creatinine testing. The association with reduced mortality warrants confirmation in randomized controlled trials. Funding: Government Support - Non-U.S.

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 score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.014
GPT teacher head0.286
Teacher spread0.272 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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