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Record W2078879273 · doi:10.1186/1710-1492-10-s1-a23

Presentation and management of ACE-I induced angioedema in the Emergency Department: an observational study

2014· article· en· W2078879273 on OpenAlexaffvenue
Rachel Curtis, Sarah Felder, Rozita Borici‐Mazi, Ian Ball

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2014
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsQueen's University
Fundersnot available
KeywordsAngioedemaMedicineEmergency departmentEtiologyPresentation (obstetrics)Incidence (geometry)Observational studyACE inhibitorAngiotensin-converting enzymeEpinephrinePopulationInternal medicinePediatricsSurgery

Abstract

fetched live from OpenAlex

Angioedema of the upper airway is a life-threatening Emergency Department (ED) presentation with many etiologies. Angiotensin converting enzyme-inhibitor (ACE-I) use is one cause of non-mast cell mediated angioedema. As the use of this medication class increases with our aging population, it is important to characterize the presentation and management of ACE-I induced angioedema (AAE), a rare but potentially severe side effect of this commonly prescribed medication class. The objectives of this study were to describe the incidence and management of AAE in the ED and to identify any epinephrine-induced morbidity. A retrospective medical record review was conducted of all patients presenting to two Canadian tertiary care EDs between July 2007 and March 2012. Patients were identified for inclusion using the International Classification of Diseases , 10 revision discharge diagnostic codes of T782, T783, T784, T886, T887 and D841. Records were excluded from study if there was no visible swelling documented on the medical record, or if swelling was found to be secondary to non-systemic reaction to an insect sting, trauma or irritant exposure. Of 1702 medical records identified through our inclusion criteria, 1175 were excluded for reasons cited above. Of the remaining 527 ED visits, an inciting cause was identified in 48.8% (n=257), based on our a priori definitions. Of these, the most common identifiable etiology was AAE (33.1%, n= 85). The most common locations of swelling in patients with AAE were the tongue or lips, found in 51% and 40% of subjects, respectively. Common ED medications used to manage AAE included diphenhydramine (63.5%, n=54), corticosteroids (50.6%, n=43) and ranitidine (31.8%, n= 27). Epinephrine was administered in 18 AAE patients (21.2%), 5 of whom received repeated doses. In two of these patients, morbidity developed shortly after epinephrine administration, causing myocardial ischemia or dysrhythmia. Four AAE patients (4.7%) required admission to hospital and one required endotracheal intubation. There was no associated mortality. Our study demonstrates that AAE is the most common identifiable etiology of angioedema of patients presenting to the ED. Management of AAE commonly includes antihistamines and corticosteroids. Concerningly, epinephrine use is common. Many patients started on ACE-Is are at high risk for developing complications from epinephrine administration, which has limited physiologic rationale for use in the setting of AAE. More research is required to better delineate epinephrine’s role in this vulnerable patient population and identify other therapeutic options.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.125
GPT teacher head0.403
Teacher spread0.278 · 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 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
Published2014
Admission routes2
Has abstractyes

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