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Record W2278024938 · doi:10.1111/hdi.12386

Dialysate‐induced hypocalcemia presenting as acute intradialytic hypotension: A case report, safety review, and recommendations

2016· review· en· W2278024938 on OpenAlexvenueno aff
John S. Thurlow, Christina M. Yuan

Bibliographic record

VenueHemodialysis International · 2016
Typereview
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisIntensive care medicinePatient safetyEmergency medicineInternal medicineHealth care

Abstract

fetched live from OpenAlex

Intradialytic hypotension is the most common complication associated with hemodialysis. We describe a case of severe intradialytic hypotension during routine chronic dialysis, the presenting symptom of hypocalcemia due to a procedural error involving a zero calcium liquid acid dialysate concentrate. Although human factors were the root cause of this event, we discuss physical and procedural controls that may help to minimize the risk of human error. Citrate anticoagulation for renal replacement therapy is increasingly used, particularly in acute kidney injury. Thus, zero calcium liquid acid dialysate is more likely to be stocked by dialysis units that serve both inpatients and outpatients. Providers in such units must maintain the utmost vigilance for human error involving these concentrates, as it is likely that the reported literature does not accurately reflect the frequency of such adverse events occurring during dialysis. Structured and universal reporting of errors to allow systematic analysis of hemodialysis device related hazards would allow identification of engineering controls that could prevent such potentially catastrophic clinical errors.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.046
GPT teacher head0.363
Teacher spread0.317 · 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 designCase report
Domainnot available
GenreReview

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

Citations5
Published2016
Admission routes1
Has abstractyes

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