Pediatric

caMRSA

This algorithm is for community associated MRSA (Methicillin-resistant Staphylococcus aureus, read more at http://en.wikipedia.org/wiki/MRSA). Note this algorithm will use lab results and not ICD-9 codes, as ICD-9 codes are not specific enough for this algorithm and/or are not used consistently for this phenotype.  Thus, we expect the actual number of cases to be higher than what the eMERGE RC (Record Counter) estimated, and, as we will be studying patients aged 0 to 89, we would like for all sites to participate, please...

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Chronic Kidney Disease

Chronic kidney disease (CKD) is defined as an abnormality of kidney structure or function present for longer than 3 months. CKD can occur as a result of heterogeneous disorders affecting the kidney. In the United States, an estimated 13.6% of adults have CKD. Notably, adjusted mortality rates are higher for patients with CKD than those without, and rates increase with CKD stage. The purpose of this algorithm is to enable accurate CKD diagnosis and staging based on EHR data.

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Clostridium Difficile Colitis

Clostridium difficile, also known as "C. diff," is a species of bacteria that causes severe diarrhea and other intestinal disease when competing bacteria in the gut have been wiped out by antibiotics (see Wikipedia entry). In rare cases a C. diff infection can progress to toxic megacolon which can be life-threatening. In a very small percentage of the adult population C. difficile bacteria naturally reside in the gut. Other people accidentally ingest spores of the bacteria while patients in a hospital or nursing home.

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Depression

Depression accounts for substantial morbidity and mortality worldwide and risk of experiencing it may have a genetic component.  Depressive disorders manifest along a gradient from mild to severe.[1]  Electronic health record (EHR) data linked to large, multi-site biobanks[2] facilitate exploration of the genetic component of depression.

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Developmental Language Disorder

APT-DLD
Version 1.0, July 2020

Automated Phenotyping Tool for identifying DLD cases in health-systems data (APT-DLD) is an algorithm for classifying/identifying developmental language disorder cases in electronic health records system data. APT-DLD can be used to:
1. Identify pediatric DLD cases from electronic health record systems using ICD9 and ICD10 codes
2. Study epidemiology and population-level charateristics of DLD from EHRs

The How-To guide for using APT-DLD is provided in the files listed below.

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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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