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Record W2039554183 · doi:10.4021/jmc.v4i7.1315

A Case of Acute Heart Failure With Intravenous Acetazolamide Administration for Evaluation of Cerebrovascular Reactivity

2013· article· en· W2039554183 on OpenAlexvenueno aff
Hiroyuki Miura, Shuichi Ono, Koichi Shibutani, Shinya Kakehata, Hiroko Seino, Fumiyasu Tsushima, Akihisa Kakuta, Hiromasa Fujita, Yoshihiro Takai

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcetazolamideCardiologyInternal medicineMyocardial infarctionHeart failureArteriosclerosis obliteransCoronary artery diseaseAnesthesia

Abstract

fetched live from OpenAlex

A man in his seventies presented with a history of cerebral infarction with occlusion of the left middle cerebral artery, diabetes mellitus, renal dysfunction, as well as prior myocardial infarction and arteriosclerosis obliterans. About 45 min after intravenous administration of 1,000 mg of acetazolamide for acetazolamide-augmented cerebrovascular single-photon emission computed tomography, he experienced dyspnea and tightness in his chest which worsened. Hypertension, regular tachycardia, and wheezing and rales were noted. Symptoms and vital signs did not improve despite many life-saving treatments. In patients with severe coronary artery disease with low ischemic threshold, as in the present case, acetazolamide might reduce peripheral vascular resistance, increase the cardiac output ratio, increase myocardial oxygen consumption by increasing cardiac output, and induce myocardial ischemia with elevation of double product. Although the frequency of acute heart failure due to myocardial ischemia after an acetazolamide challenge may be low, its occurrence in patients with severe arteriosclerotic disease should be routinely considered. doi: http://dx.doi.org/10.4021/jmc1315w

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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.004
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 head0.026
GPT teacher head0.331
Teacher spread0.306 · 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
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
Published2013
Admission routes1
Has abstractyes

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