HIV
Algorithm for the identification of all patients aged 13 or older with HIV in an electronic health record dataset.
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Disease or Syndrome
Hypothyroidism
Project Outline: Selection of all Caucasian patients with hypothyroidism without a secondary cause of surgical removal or radiological ablation. The search is designed to eliminate subclinical hypothyroidism (by requiring that patients be on a replacement medication), medication-induced hypothyroidism (e.g., PTU, lithium, or history of amiodarone), and transient causes (e.g., pregnancy or subacute thyroiditis).
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Final
Identification of Fibromyalgia Patients in a Rheumatoid Arthritis Cohort
Fibromyalgia has been estimated to affect 12-17% of rheumatoid arthritis patients (1, 2).
This algorithm was created to identify fibromyalgia patients in a population of rheumatoid arthritis patients. The gold standard used for diagnosis of fibromyalgia was that the treating rheumatologist made a clinical diagnosis of fibromyalgia. Rheumatoid arthritis patients were identified by using a previously validated algorithm (3).
Algorithm included the following conditions:
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Final
Intellectual Disability
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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
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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.
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Final
Multiple Sclerosis - Demonstration Project
Multiple Sclerosis (MS) phenotype algorithm for the DNA Databank demonstration project.
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Final
Non-alcoholic fatty liver disease (NALFD) & Alcoholic Fatty Liver Disease (ALD)
Non-alcoholic fatty liver disease (NAFLD)
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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.
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