Atopic Dermatitis Algorithm

Primary tabs

Structured data: 
CPT
ICD9
Data Source/clinical domain: 
observations
medications
Files: 
Atopic Dermatitis Phenotype Algorithm.docx
Atopic dermatitis DD.xlsx
Information
Phenotype ID: 
184
Date Created: 
Thursday, October 31, 2013
Status: 
Final
Do Not List on the Collaboration Phenotypes List
Contact information
Contact Author: 
Lyam Vazquez
Authors: 
Lyam Vazquez
Institution: 
CHOP
Network Associations: 
eMERGE
View Phenotyping Groups: 
eMERGE Phenotype WG
Owner Phenotyping Groups: 
eMERGE CHOP Group
Demographics
Gender: 
Female
Male
Age: 
Pediatric
Adult
Race: 
Black (African American, West African, Ethiopian, etc.)
Caucasian (European)
Caucasian (North African, Middle East, Other)
East Asian (Mongol, Tibetan, Korean, Japanese, Thai, etc.)
Mixed Race
Other Race
Pacific Islander (Polynesian, Micronesian, Hawaiian, etc.)
 

Suggested Citation

Lyam Vazquez. CHOP. Atopic Dermatitis Algorithm. PheKB; 2013 Available from: https://phekb.org/phenotype/184

Comments

Wondering if you have a data dictionary developed for the atopic dermatitis phenotype yet? We would like to validate the algorithm and pull the covariate data. Thanks!

 

is secondary site validation complete, i.e. is this ready to go?  thanks.

Hi Jane,

I think it is still in process - Marshfield only got it from us week 2 of December, so they'll likely need some more time.  Will let you know as soon as we have any updates.

Do you want at least 2 visits in the last five years as in, within 5 years of pull date, or within the last five years of the last date in the record?

 

Thanks, Jacqueline

Hi Jacqueline,

We would like at least 2 visits within the last 5 years of the last date in the record.

Thanks,Lyam

since Marshfield submitted an implemenation, does that mean this phenotype is ready to be implemented by other sites?  thanks.

For this list of Medications related to Atopic Dermatitis:

- for the subgroup of Antihistamines, are you looking for topical and oral preps (and no other route of administration), for all drugs listed here?

- for the subgroup of Phototherapy, looks like these should be procedures - do you have a list of CPT proc codes that you pulled for these?

- for the subgroup of Other, are you looking for topical and oral preps for all drugs listed here?

same question would apply to Medications for control exclusion:

- phototherapy cpt codes

- subgroup Other - topical and oral?

thanks!

Hi,

-Yes, for the subgroup of antihistamines would be oral and topical preps.

-The CPT codes for phototherapy are listed in the CPT codes tab in the data dictionary. (96912,96913,96910,96900)

-For the subgroup of other, it would be mainly oral except Doxepin that would be topical.

-The visit types tab is just describing the types of visits to include in the tab for visits for controls and cases.

Thanks!

would you like the phototherapy CPT codes included in this table, perhaps inserting the CPT code into the Drugcode field (where otherwise the name of the prescribed drug is inserted)?

thanks!

While pulling the CPT codes that identify allergy testing is straightforward, getting the results of these tests here at GHRI is not.  This is an uncharted area of exploration, and may be possible, but not without considerable work.  I see that the element Allergen is noted as required in the DD, whereas lgE and wheal_flare are not noted as required.

Will it be acceptable to give you just SUBJID, Age, and CPT for the labs tab?

Thanks!

Ok, if it's a considerable amount of work, you can send us whatever you can get.  If later on in the analysis we find that it would be important to have more information we can go back and ask you...sounds good? 

 

Related to the question Submitted by Jane Grafton on Fri, 2014-03-07 17:28:  

 

For the topical vs. oral meds, is it safe to assume if we just use the names provided in the tables, that they will be the correct route, or, esp. for generic names, do we need to somehow tease out the route in our data to be sure they are topical (which we may not be able to do for all of our medication records, in which case if we can’t what should we do – assume oral if it does not specify route maybe)?

For generic names you will have to somehow make sure they are topical.  For example, when we pulled the meds data, we had topical, optic solutions, inhaled etc and we eliminated all the routes we didn't want.

In the table of therapy tab in the data dictionary, there is a complete list of the meds we used after eliminating the unwanted routes.  Maybe you'll find that helpful. If you need any help with a list of medications that you pull from your database, I'll be glad to help.  

Hi Stephen,

Lyam and I just discussed. We'd obviously be happy to take your 16, but if you are pressed for time with the other algorithms etc., we understand if you'd prefer to sit this one out.

I think the other sites will each have at least >50, with several >400.

Thanks for following-up,

John

We have implemented the algorithm to define atopic dermatitis at the Harvard Site.  We have found 72 cases and 1037 controls.  Vivian Gainer will be in touch regarding getting the dataset to you for the following variables: case control status, sex, race, ethinicity, year of birth (4 digit).  Beth

We have implemented the atopic dermatitis algorithm to define 72 cases and 1037 controls at the Harvard site. Can you tell us which covariates you would like included in the file?  Thanks, Beth