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Public Health

Developing and validating clinical models to identify candidates for allergic rhinitis pre-exposure prophylaxis

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Article: 2287188 | Received 12 Oct 2023, Accepted 17 Nov 2023, Published online: 01 Dec 2023

Figures & data

Table 1. Baseline demographics and clinical characteristics of patients in the training, internal, and external validation datasets.

Table 2. Demographics and questionnaire among patients in the development datasets who were allergic to at least one allergen.

Figure 1. Nomogram to predict the risk of allergic rhinitis. (A) Outcome 1 was defined as patients with allergic rhinitis (AR) who had a positive response to at least one indoor or outdoor allergen; (B) outcome 2 was defined as patients with AR who had a positive response to at least one outdoor pollen allergen.

Figure 1. Nomogram to predict the risk of allergic rhinitis. (A) Outcome 1 was defined as patients with allergic rhinitis (AR) who had a positive response to at least one indoor or outdoor allergen; (B) outcome 2 was defined as patients with AR who had a positive response to at least one outdoor pollen allergen.

Figure 2. Receiver operating characteristic curves of nomograms A and B.

Figure 2. Receiver operating characteristic curves of nomograms A and B.

Figure 3. Calibration curves of nomograms a and B. (A1 and B1) training datasets; (A2 and B2) internal validation datasets; and (A3 and B3) external training datasets.

Figure 3. Calibration curves of nomograms a and B. (A1 and B1) training datasets; (A2 and B2) internal validation datasets; and (A3 and B3) external training datasets.
Supplemental material

Supplemental Material

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Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.