Evidence map›Paper›PMID 42642083›Full record

ArticleBMJ open2026

Diagnostic accuracy of the passive mast cell activation test in neuromuscular blocking agent-induced perioperative anaphylaxis in a tertiary hospital in China: a diagnostic accuracy study.

Zhe Li, Xiaowen Liu, Huamei Cai, Tao Zhang, Jing Zhao

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Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhe Li *Department of Anesthesiology, China-Japan Friendship Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-2004-1307
Xiaowen Liu *Department of Anesthesiology, China-Japan Friendship Hospital, Beijing, China.
Huamei CaiDepartment of Anesthesiology, China-Japan Friendship Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-4826-8554
Tao ZhangSchool of Pharmacy, Xi'an Jiaotong University, Xi'an, China taozhang@xjtu.edu.cn zhaojing1009@aliyun.com.
Jing ZhaoDepartment of Anesthesiology, China-Japan Friendship Hospital, Beijing, China taozhang@xjtu.edu.cn zhaojing1009@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe passive mast cell activation test (pMAT) is a novel in vitro assay designed to complement existing tools like the skin test (ST) and basophil activation test (BAT) for allergen identification. This study aimed to validate the diagnostic accuracy of pMAT specifically for neuromuscular blocking agent (NMBA)-induced perioperative anaphylaxis (POA).

designA diagnostic accuracy study.

settingA tertiary hospital in Beijing, China.

participants44 patients with suspected POA were enrolled. Participants were stratified into groups based on ST and/or BAT. The NMBA-allergic group comprised 15 patients with confirmed NMBA allergy while the non-NMBA-allergic group consisted of 29 individuals without NMBA allergy.

interventionsAll participants underwent pMAT testing for relevant NMBA. PRIMARY AND SECONDARY OUTCOME MEASURES: The diagnostic performance of pMAT for NMBA was assessed by measuring sensitivity, specificity, likelihood ratios and the Youden index. An exploratory analysis evaluated its performance in diagnosing antibiotic-induced allergies within the same population.

resultsFor NMBA allergy, pMAT demonstrated high diagnostic accuracy (90.9%; 95% CI 77.4% to 97.1%) with excellent sensitivity (93.3%; 95% CI 66.0% to 99.7%) and specificity (89.7%; 95% CI 71.5% to 97.3%). This was reflected in a high positive likelihood ratio (9.05; 95% CI 3.06 to 26.57), a low negative likelihood ratio (0.07; 95% CI 0.01 to 0.50), a Youden index of 0.83 and a Cohen's kappa of 0.804 (indicating substantial agreement with the reference standard). In contrast, pMAT showed reduced performance for antibiotic allergy, with an accuracy of 79.5% (95% CI 64.3% to 89.7%), sensitivity of 66.7% (95% CI 30.9% to 91.0%), specificity of 82.9% (95% CI 65.7% to 92.8%) and a kappa of 0.378 (fair agreement).

conclusionspMAT demonstrated high diagnostic accuracy for NMBA allergy, filling critical gaps in current POA diagnostic workflow. Its robust performance supports its clinical utility as a complementary tool alongside ST and BAT. TRIAL REGISTRATION NUMBER: ChiCTR2400084268.

Indexed as

AnaphylaxisDrug HypersensitivityMast CellsNeuromuscular Blocking AgentsAdultAgedChinaFemaleHumansMaleMiddle AgedPerioperative PeriodSensitivity and SpecificitySkin TestsTertiary Care CentersNeuromuscular Blocking AgentsAdverse eventsANAESTHETICSMedicine

Identifiers

PMID42642083
PMCPMC13536069

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.