Lipids
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Final
Liver cancer staging project
Hepatocellular carcinoma (HCC), the primary form of liver cancer, is one of the leading cancer-related causes of death worldwide. There are many complex treatment strategies; the populations are heterogeneous, with different genetic, lifestyle, and comorbity differences.
Here we describe the algorithm used to identify HCC liver cancer stages for AJCC, BCLC, and CLIP liver cancer staging systems.
Algorithm:
Step 1) Patient files and laboratories
Final
MidSouth CDRN - Healthy Weight Algorithm
Owner Phenotyping Groups:
Final
Migraine
Migraine is the most common recurrent headache syndrome in children in which 4-10% of school age children may be affected (1). It is characterized by episodes of headache pain that may be accompanied by nausea, vomiting, and light and sound sensitivity. Migraine occurs at all ages and may even begin in infancy as represented by intermittent colic (1). The genes for familial hemiplegic migraine have been identified.
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Multimodal Analgesia
Described in this document are the Stanford University algorithms for extracting both cases and controls of Multimodal analgesia from electronic health records (EHR) for surgical patients.
Final
Multiple Sclerosis - Demonstration Project
Multiple Sclerosis (MS) phenotype algorithm for the DNA Databank demonstration project.
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Non-alcoholic fatty liver disease (NALFD) & Alcoholic Fatty Liver Disease (ALD)
Non-alcoholic fatty liver disease (NAFLD)
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Opioid-exposed infants
Objective
Observational studies examining outcomes among opioid-exposed infants are limited by phenotype algorithms that may under identify opioid-exposed infants without neonatal opioid withdrawal syndrome (NOWS). We developed and validated the performance of different phenotype algorithms to identify opioid-exposed infants using electronic health record (EHR) data.
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Ovarian/Uterine Cancer (OvUtCa)
The KPWA/UW-led ovarian/uterine cancer phenotype has been validated at Mayo Clinic, the secondary phenotype development site. Validation results at both the primary and secondary sites were strong and the phenotype is ready for network wide implementation. The pseudo code document posted 11/30/2017 is correct as is and should be used by network sites for phenotype implementation. A validated data dictionary of covariates for this phenotype will be added to PheKB by 2/15/2018, but sites are encouraged to begin implementing the phenotype algorithm now.
Owner Phenotyping Groups:
View Phenotyping Groups:
Final