Prediction of hereditary angioedema during attacks in patients with recurrent angioedema: Awareness at a glance with the hereditary angioedema prediction score

被引：0

作者：

Demir, Semra ^{[1
]}

Olgac, Muge ^{[2
]}

Yegit, Osman Ozan ^{[3
]}

Toprak, Ilkim Deniz ^{[1
]}

Cakmak, Mehmet Erdem ^{[3
]}

Hormet, Merve Igde ^{[1
]}

Oztop, Nida ^{[3
]}

Korkmaz, Pelin ^{[1
]}

Celik, Sule Kamaci ^{[1
]}

Karabacak, Deniz Eyice ^{[1
]}

Kahveci, Nevzat ^{[1
]}

Imren, Isil Gogem ^{[1
]}

Erden, Bircan ^{[1
]}

Coskun, Raif ^{[4
]}

Karadag, Pelin ^{[1
]}

Unal, Derya ^{[1
]}

Gelincik, Asli ^{[1
]}

机构：

[1] Istanbul Univ, Istanbul Fac Med, Internal Med Dept, Immunol & Allergy Div, Internal Med Bldg, TR-34093 Istanbul, Turkiye

[2] Seyrantepe Hamidiye Etfal Res & Training Hosp, Adult Immunol & Allergy Clin, Istanbul, Turkiye

[3] Basaksehir Pine & Sakura City Hosp, Adult Immunol & Allergy Clin, Istanbul, Turkiye

[4] Prof Dr Cemil Tascioglu City Hosp, Adult Immunol & Allergy Clin, Istanbul, Turkiye

来源：

CLINICAL AND TRANSLATIONAL ALLERGY | 2025年 / 15卷 / 04期

关键词：

angioedema; awareness of hereditary angioedema; hereditary angioedema; prediction of hereditary angioedema; recurrent angioedema; EMERGENCY-DEPARTMENT; URTICARIA; BURDEN;

D O I：

10.1002/clt2.70040

中图分类号：

R392 [医学免疫学];

学科分类号：

100102 ;

摘要：

Background/Aim: Misdiagnosis of hereditary angioedema (HAE) leads to inappropriate management of the attacks. A scoring system that anticipates diagnosis can be beneficial for clinicians who are unfamiliar with angioedema. This study aims to develop a practical scoring system for use during acute attacks to predict HAE in patients with recurrent angioedema (RAE). Method: To predict HAE, nine HAE experts unanimously identified five predictive items (PIs); absence of urticaria, presence of abdominal pain episodes, family history, early onset of attacks and previous unresponsiveness to anti-histaminergic treatments. The researchers questioned 106 patients with HAE and 155 patients with mast cell-mediated angioedema (MMAE) about PIs. A score was attributed to each significant PI based on OR values obtained through logistic regression analysis. The cut-off point for the prediction of HAE and its sensitivity and specificity were determined by ROC curve analysis. Results: In a univariate analysis, all items showed significant differences between HAE and MMAE patients. Regression analysis attributed scores as follows: 23 points for the absence of urticaria, 11 points for the abdominal pain episodes, 9 points for family history, and 53 points for unresponsiveness to antihistaminergic treatments. No score was attributed to early onset of age (p > 0.05). The ROC analysis revealed an area under the curve of 0.990, with a total score of >= 38 demonstrating the best sensitivity (96.4%) and specificity (96.1%). Conclusions: HAEps is a valuable tool for diagnosing HAE in patients with RAE. A score of 38 or more indicates the possible presence of HAE with substantial sensitivity and specificity.

引用

页数：7

共 31 条

[1] Development and Validation of a Concise Prediction Scoring System for Asian Lung Cancer Patients with EGFR Mutation Before Treatment [J].