BACKGROUND: To date, no predictive tests for the clinical response to allergen-specific immunotherapy (ASI) are available. Therefore an in vivo or in vitro test would be of great value. OBJECTIVE: We sought to evaluate pretreatment parameters used in diagnosing allergic rhinitis and determining serum specific IgE (s-IgE) levels, serum total IgE (t-IgE) levels, and blood eosinophil counts and to identify whether can be used to predict clinical improvement in monosensitized patients with allergic rhinitis with or without asthma treated with immunotherapy. METHODS: We analyzed 279 patients who had undergone 4 years of ASI administered either by means of the subcutaneous immunotherapy (76 patients) or sublingual immunotherapy (203 patients) routes. Serum t-IgE and s-IgE levels, blood eosinophil counts, and serum s-IgE/t-IgE ratios were calculated and tested for correlation with clinical response to ASI. Receiver operating characteristic curves were determined. Predicted probabilities and predictive areas under the curve were calculated. RESULTS: The clinical response to ASI was effective in 145 (52.0%) of 279 total patients, 42 (55.2%) of 76 patients treated with subcutaneous immunotherapy, and 103 (50.7%) of 203 patients treated with sublingual immunotherapy. A significant correlation was found between the serum s-IgE/t-IgE ratio and the clinical response to ASI, with high ratios (>16.2) associated with an effective response. The sensitivity and specificity of the area under the curve of the ratio were higher than those of serum s-IgE and t-IgE alone. CONCLUSION: The calculation of the serum s-IgE/t-IgE ratio for predicting the clinical response to ASI offers an advantage over measuring t-IgE and s-IgE levels in monosensitized patients for the following allergens: grass, Parietaria judaica, Olea europea, and house dust mite.
BACKGROUND: To date, no predictive tests for the clinical response to allergen-specific immunotherapy (ASI) are available. Therefore an in vivo or in vitro test would be of great value. OBJECTIVE: We sought to evaluate pretreatment parameters used in diagnosing allergic rhinitis and determining serum specific IgE (s-IgE) levels, serum total IgE (t-IgE) levels, and blood eosinophil counts and to identify whether can be used to predict clinical improvement in monosensitized patients with allergic rhinitis with or without asthma treated with immunotherapy. METHODS: We analyzed 279 patients who had undergone 4 years of ASI administered either by means of the subcutaneous immunotherapy (76 patients) or sublingual immunotherapy (203 patients) routes. Serum t-IgE and s-IgE levels, blood eosinophil counts, and serum s-IgE/t-IgE ratios were calculated and tested for correlation with clinical response to ASI. Receiver operating characteristic curves were determined. Predicted probabilities and predictive areas under the curve were calculated. RESULTS: The clinical response to ASI was effective in 145 (52.0%) of 279 total patients, 42 (55.2%) of 76 patients treated with subcutaneous immunotherapy, and 103 (50.7%) of 203 patients treated with sublingual immunotherapy. A significant correlation was found between the serum s-IgE/t-IgE ratio and the clinical response to ASI, with high ratios (>16.2) associated with an effective response. The sensitivity and specificity of the area under the curve of the ratio were higher than those of serum s-IgE and t-IgE alone. CONCLUSION: The calculation of the serum s-IgE/t-IgE ratio for predicting the clinical response to ASI offers an advantage over measuring t-IgE and s-IgE levels in monosensitized patients for the following allergens: grass, Parietaria judaica, Olea europea, and house dust mite.
Authors: G Walter Canonica; Jean Bousquet; Thomas Casale; Richard F Lockey; Carlos E Baena-Cagnani; Ruby Pawankar; Paul C Potter; Philippe J Bousquet; Linda S Cox; Stephen R Durham; Harold S Nelson; Giovanni Passalacqua; Dermot P Ryan; Jan L Brozek; Enrico Compalati; Ronald Dahl; Luis Delgado; Roy Gerth van Wijk; Richard G Gower; Dennis K Ledford; Nelson Rosario Filho; Erkka J Valovirta; Osman M Yusuf; Torsten Zuberbier Journal: World Allergy Organ J Date: 2009-11-19 Impact factor: 4.084
Authors: Sarah K Wise; Sandra Y Lin; Elina Toskala; Richard R Orlandi; Cezmi A Akdis; Jeremiah A Alt; Antoine Azar; Fuad M Baroody; Claus Bachert; G Walter Canonica; Thomas Chacko; Cemal Cingi; Giorgio Ciprandi; Jacquelynne Corey; Linda S Cox; Peter Socrates Creticos; Adnan Custovic; Cecelia Damask; Adam DeConde; John M DelGaudio; Charles S Ebert; Jean Anderson Eloy; Carrie E Flanagan; Wytske J Fokkens; Christine Franzese; Jan Gosepath; Ashleigh Halderman; Robert G Hamilton; Hans Jürgen Hoffman; Jens M Hohlfeld; Steven M Houser; Peter H Hwang; Cristoforo Incorvaia; Deborah Jarvis; Ayesha N Khalid; Maritta Kilpeläinen; Todd T Kingdom; Helene Krouse; Desiree Larenas-Linnemann; Adrienne M Laury; Stella E Lee; Joshua M Levy; Amber U Luong; Bradley F Marple; Edward D McCoul; K Christopher McMains; Erik Melén; James W Mims; Gianna Moscato; Joaquim Mullol; Harold S Nelson; Monica Patadia; Ruby Pawankar; Oliver Pfaar; Michael P Platt; William Reisacher; Carmen Rondón; Luke Rudmik; Matthew Ryan; Joaquin Sastre; Rodney J Schlosser; Russell A Settipane; Hemant P Sharma; Aziz Sheikh; Timothy L Smith; Pongsakorn Tantilipikorn; Jody R Tversky; Maria C Veling; De Yun Wang; Marit Westman; Magnus Wickman; Mark Zacharek Journal: Int Forum Allergy Rhinol Date: 2018-02 Impact factor: 3.858
Authors: Renee Jaramillo; Richard D Cohn; Patrick W Crockett; Kymberly M Gowdy; Darryl C Zeldin; Michael B Fessler Journal: J Allergy Clin Immunol Date: 2012-08-24 Impact factor: 10.793