AoU Research Priorities Use Cases

1. Define phenotypes/endotypes of asthma based on clinical and patient reported data, and determine if any specific therapies a

Using clinical information obtained from patients (types of symptoms, severity of symptoms, exercise-related symptoms, day versus night symptoms, prednisone use, hospitalization, ED visit, etc.), determine if there is a relationship between these patient reported symptoms and clinical data (FEV1, FeNO, peak flow, O2 saturation, etc.).

The remaining questions allow you to outline in more detail the information needed to address your research question. The series of questions allow up to five entries. If you have more than five entries, please try to prioritize them and enter the remainder in the final field. When done, click Submit at the bottom. Yes

If you did not find your Data Item #1 in the dropdown selection above, please enter it here. 2. Determine patient reported factors that define the risk for development of drug allergy.

If you did not find your method for obtaining Data Item #1 in the dropdown selection above, please enter it here. Collect demographic, medical, and family history data on patients with reported drug allergies. Using this information, determine if there are specific risk factors that would predict (or increase likelihood of) developing drug allergy. Would also be able to stratify by type of drug, as well. If there is the ability to obtain genetic testing, then could correlate the risk of developing a drug allergy with specific genotypes.

If you did not find your methodology specifications for Data Item #1 above, please enter it here. 3. Using patient reported data determine the burden of atopic dermatitis.

If Data Item #2 was not in the dropdown, please enter it here. Using patient reported data determine the prevalence of atopic dermatitis across the US. Collect data on symptoms and treatments that patients are having/receiving and determine if there are geographic differences in the epidemiology and treatment of this disease. If this were ongoing, incidence of atopic dermatitis could be measured, and changes in treatment and geographic locations of disease could be mapped over time. If genetic testing were included, would be able to determine if there are any geographic differences in genetic predictors of atopic dermatitis and response to treatment.

If Method #2 was not in the dropdown, please enter it here 4. Using patient reported data determine the burden of drug allergy.

If Specification #2 was not in the dropdown, please enter it here: Using patient reported data determine the prevalence of drug allergy across the US. Collect data on symptoms and treatments that patients are having/receiving and determine if there are geographic differences in the epidemiology and treatment of drug allergy. If this were ongoing, incidence of drug allergy could be measured, and changes in treatment and geographic locations of disease could be mapped over time.

If Data Item #3 was not in the dropdown, please enter it here 5. Using patient reported data determine the burden of chronic urticaria.

If Method #3 was not in the dropdown, please enter it here Using patient reported data determine the prevalence of chronic urticaria across the US. Collect data on symptoms and treatments that patients are having/receiving and determine if there are geographic differences in the epidemiology and treatment of this disease. If this were ongoing, incidence of chronic urticaria could be measured, and changes in treatment and geographic locations of disease could be mapped over time. If genetic testing were included, would be able to determine if there are any geographic differences in genetic predictors of chronic urticaria and response to treatment.

If Specification #3 was not in the dropdown, please enter it here 6. Determine what treatments are being used of therapy of allergic diseases, including asthma.

If Data Item #4 was not in the dropdown, please enter it here The medical community has published practice parameters/guidelines based on the medical literature to provide the most effective care for allergic diseases, including asthma. The data to be collected for this use case will be what treatments patients with allergic diseases (including asthma) are receiving, and from whom. Using this information it will be possible to see how well these practice parameters and practice guidelines are being utilized in a real world situation. Over time this could be utilized to see how well specific interventions (by the allergy community) are in altering provider habits – giving feedback on our ability to move providers to provide the highest quality, evidence-based care.

If Method #4 was not in the dropdown, please enter it here 7. Determine patient reported factors that define the risk for development of food allergy.

If Specification #4 was not in the dropdown, please enter it here Collect demographic, medical, and family history data on patients with reported food allergies. Using this information, determine if there are specific risk factors that would predict (or increase likelihood of) developing food allergy. Would also be able to stratify by type of food, as well. If there is the ability to obtain genetic testing, then could correlate the risk of developing a food allergy with specific genotypes.

If Data Item #5 was not in the dropdown, please enter it here 8. Using patient reported data determine the burden of food allergy.

If Method #5 was not in the dropdown, please enter it here N/A

If Specification #5 was not in the dropdown, please enter it here N/A

If you have more than five data items, you may enter them here.

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Idea No. 811