MétaCan
Menu
Back to cohort
Record W2080062700 · doi:10.1159/000187057

Hemodialysis Intravascular Hemolysis and Kinked Blood Lines

2008· article· en· W2080062700 on OpenAlexaff
M.H. Gault, Sara Duffett, L. Purchase, Jamie D. Murphy

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHemolysisMedicineHemodialysisBlood pressureAbdominal painAnesthesiaSurgeryInternal medicineCardiology

Abstract

fetched live from OpenAlex

Between May 29 and September 13, 1991, 4 patients developed acute intravascular hemolysis during hemodialysis with Monitral-S delivery systems and Hospal BSM A77 blood lines. All had malaise, nausea and headache; 3 had severe abdominal pain and 2 became very ill. Plasma hemoglobins were 3-21 g/l and LDH 542-3,300 IU in the 4 patients. Hepatoglobin became unmeasurable in 3 and was 0.09 g/l in the 4th patient. Soon afterwards, we found the arterial blood line tightly kinked at the dialyzer inlet port in the 4th patient and released it; he developed abdominal pain, hemolysis was present. We then found these lines had an extra long pump segment, and the rest was short and fitted poorly. When put in the first tubing organizer, severe kinking could occur just after the pump segment, causing back pressure but no alarm. We produced early visible hemolysis in a 1-liter circulating closed loop blood system with the blood line kinked either at the dialyzer inlet or just below the first arterial line tubing organizer with 40 g/l free plasma hemoglobin by 30 min. We excluded reported causes of intravascular hemolysis during hemodialysis. No hemolysis occurred before or during the 9 months after we discarded BSM A77 lines. The evidence indicates that kinked blood lines caused the hemolysis.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.019
GPT teacher head0.257
Teacher spread0.238 · 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.

Study designNot applicable
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

Citations38
Published2008
Admission routes1
Has abstractyes

Explore more

Same venue˜The œNephron journals/Nephron journalsSame topicHemoglobinopathies and Related DisordersFrench-language works237,207