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Record W4403812377 · doi:10.1681/asn.2024phn8v8ec

Primary Care Perspectives (PCPs) on Monitoring and Follow-Up after Hospitalization with AKI

2024· article· en· W4403812377 on OpenAlexaffabout
Saniya Kaushal, Matthew T. James, Samuel A. Silver, Adeera Levin, Peter Birks

Bibliographic record

VenueJournal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsUniversity of British ColumbiaQueen's UniversityUniversity of Calgary
Fundersnot available
KeywordsPrimary careMedicineIntensive care medicineEmergency medicineAcute kidney injuryInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

Background: AKI is associated with an increased risk of chronic kidney disease (CKD), cardiovascular disease, and mortality. KDIGO guidelines recommend at minimum rechecking creatinine and urine albumin to creatinine ratio (ACR) within 3 months of AKI. Furthermore, nephrology referral after AKI remains low despite an association with improved patient outcomes. The objective of this study was to analyze perspectives of PCPs on monitoring and follow-up of AKI following hospitalization. Methods: We surveyed Canadian PCPs using clinical vignettes about choices of laboratory monitoring and nephrology referral, following patient hospitalizations with AKI. The vignettes described various demographic and clinical factors, as well as different severities of AKI and degrees of AKI recovery. Results: 53 PCPs participated, completing at least one question. 90% of PCPs would ‘definitely’ or “probably” suggest a follow-up creatinine within 3 months of patient hospitalization with AKI, irrespective of patient variables. Participants were more likely to ‘definitely’ or ‘probably’ suggest follow up creatinine in patients with less recovery of kidney function (98%), for those receiving dialysis (98%), and for those with comorbidities (100%). 80% or more of PCPs would ‘definitely’ or “probably” suggest a follow-up measurement of urine ACR within 3 months of AKI and were more likely to recommend proteinuria monitoring in those with pre-existing CKD (90%). Less than 50% of PCPs would ‘definitely’ refer to a nephrologist following a patient’s AKI, unless they required acute dialysis during hospitalization (54%). Factors associated with increased referrals to nephrology included severe AKI (e.g. stage 3 AKI), less renal recovery, and comorbidities. Less than 25% of PCPs would ‘definitely’ or ‘probably’ seek specialist input prior to restarting a patient's ramipril, metformin, and empagliflozin post-AKI if the creatinine improved to 100 μmol/L. Conclusion: Most PCPs suggest monitoring their patient’s creatinine within 3 months of hospitalization with AKI. PCPs often would not refer to nephrology for follow up or medication advice after cases of moderate or severe AKI. Education and quality improvement initiatives warrant further testing to help PCPs optimally monitor and manage patients after a hospitalization with AKI.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.515
Threshold uncertainty score0.194

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.251
Teacher spread0.244 · 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 teacher head, 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
Published2024
Admission routes2
Has abstractyes

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