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Record W4404511721 · doi:10.1002/ccr3.9604

Hypertensive Encephalopathy Triggered by Indomethacin Use

2024· article· en· W4404511721 on OpenAlexaff
Vanessa Raco, Peter E. Wu

Bibliographic record

VenueClinical Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineBlood pressureHeadachesHypertensive encephalopathyAmlodipineEncephalopathyContext (archaeology)DecompensationInternal medicineAnesthesiaSurgery

Abstract

fetched live from OpenAlex

We present the case of a man in his 70s who developed acute confusion from hypertensive encephalopathy triggered by indomethacin. He was recently prescribed indomethacin, a non-steroidal anti-inflammatory drug (NSAID) for headaches. However, his headaches were in the context of worsening hypertension that was treated with trandolapril. The use of indomethacin consequently worsened his underlying condition. On presentation to the emergency department, his blood pressure was 190/110 mmHg. Bloodwork including electrolytes, glucose, metabolic studies, renal and liver function were within normal limits; infectious workup including blood and urine cultures subsequently returned negative; and brain computed tomography and magnetic resonance imaging revealed no acute process to explain his presentation. Indomethacin was discontinued and the patient's hypertension was treated with amlodipine. Both his confusion and underlying headaches resolved as his blood pressure normalized. The patient was diagnosed with hypertensive encephalopathy triggered by indomethacin. NSAID use can trigger blood pressure decompensation, especially in patients with underlying hypertension; this effect is particularly pronounced in patients treated with anti-hypertensive medications that inhibit the renin-angiotensin-aldosterone (RAS) system. Symptomatic treatment with NSAIDs is not without potential harm; it is important to carefully consider a patient's underlying diagnosis, indication for therapy and risk for adverse effects.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.261
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.124
GPT teacher head0.401
Teacher spread0.277 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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