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Record W4403922370 · doi:10.1159/000541883

Diagnostic Accuracy of Tryptase Levels for Pediatric Anaphylaxis: A Case-Control Study

2024· article· en· W4403922370 on OpenAlexaff
Roy Khalaf, Connor Prosty, Christine McCusker, Adam Bretholz, Mohammed Kaouache, Ann E. Clarke, Moshe Ben‐Shoshan

Bibliographic record

VenueInternational Archives of Allergy and Immunology · 2024
Typearticle
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsUniversity of CalgaryMcGill University Health CentreMcGill University
Fundersnot available
KeywordsTryptaseAnaphylaxisMcNemar's testMedicineAllergyGastroenterologyInternal medicineImmunologyMast cell

Abstract

fetched live from OpenAlex

INTRODUCTION: Anaphylaxis is a severe allergic reaction which can be difficult to diagnose. Two strategies evaluating changes in tryptase levels were proposed for diagnosing anaphylaxis. Strategy 1 established a threshold of tryptase levels during reaction exceeding 2 ng/mL + 1.2* (baseline tryptase levels) as a rule for detecting anaphylaxis, while strategy 2 established the ratio of tryptase levels during reaction versus baseline tryptase exceeding a threshold of 1.685. We aimed to compare the diagnostic test accuracy of the two strategies in pediatric anaphylaxis. METHODS: We conducted a case-control study. Cases consisted of 89 patients with anaphylaxis who had reaction tryptase and subsequent baseline tryptase measured. Controls consisted of 25 patients with chronic urticaria who had two tryptase measurements. Sensitivity and specificity for each of the strategies were computed and compared using McNemar test. The area under the curve (AUC) between the two strategies was compared using the DeLong test. RESULTS: The sensitivity and specificity for strategy 1 was 53.3% and 95.0%, respectively. For strategy 2, the sensitivity and specificity was 54.4% and 85.0%, respectively. There was no significant difference between both strategies' sensitivity and specificity. The Delong test determined that the AUC was significantly (p < 0.05) higher for strategy 1 (0.69) than strategy 2 (0.64). CONCLUSION: The Delong test determined that strategy 1 was slightly better in validating anaphylaxis diagnosis than strategy 2. However, both strategies demonstrated a low sensitivity <55%. INTRODUCTION: Anaphylaxis is a severe allergic reaction which can be difficult to diagnose. Two strategies evaluating changes in tryptase levels were proposed for diagnosing anaphylaxis. Strategy 1 established a threshold of tryptase levels during reaction exceeding 2 ng/mL + 1.2* (baseline tryptase levels) as a rule for detecting anaphylaxis, while strategy 2 established the ratio of tryptase levels during reaction versus baseline tryptase exceeding a threshold of 1.685. We aimed to compare the diagnostic test accuracy of the two strategies in pediatric anaphylaxis. METHODS: We conducted a case-control study. Cases consisted of 89 patients with anaphylaxis who had reaction tryptase and subsequent baseline tryptase measured. Controls consisted of 25 patients with chronic urticaria who had two tryptase measurements. Sensitivity and specificity for each of the strategies were computed and compared using McNemar test. The area under the curve (AUC) between the two strategies was compared using the DeLong test. RESULTS: The sensitivity and specificity for strategy 1 was 53.3% and 95.0%, respectively. For strategy 2, the sensitivity and specificity was 54.4% and 85.0%, respectively. There was no significant difference between both strategies' sensitivity and specificity. The Delong test determined that the AUC was significantly (p < 0.05) higher for strategy 1 (0.69) than strategy 2 (0.64). CONCLUSION: The Delong test determined that strategy 1 was slightly better in validating anaphylaxis diagnosis than strategy 2. However, both strategies demonstrated a low sensitivity <55%.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.284
Teacher spread0.271 · 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 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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