These are the algorithms for the PRIMED Harmonized systolic and diastolic blood pressures (SBP and DBP). The overall procedure of gathering single BP values per individual consists of:
These are the PRIMED Harmonization instructions for body mass index (BMI).
Overall procedure
1. Extract trait measurements using measurement codes and calculations
2. Convert measurement units to expected units, if necessary
3. Apply measurement exclusion criteria, other than statistical outliers
4. Remove statistical outliers
5. Compute a single value per individual for inclusion in analysis
6. Calculate counts of flagged individuals
These are the PRIMED Harmonization instructions for breast cancer (BC). We are using the breast cancer definition used by the eMERGE program, with some slight modifications. Follow this document for implementation.
Modifications:
We will only include cis females in the analyses
The standard definition requires controls be age 18+. If the age distribution of cases within a study is much older (e.g. 30+), then studies may filter controls based on age >= the minimum age of identified cases
This phenotype specification supports the identification of patients with lung and gastroenteropancreatic (GEP) neuroendocrine tumors (NETs) for the Neuroendocrine Tumors- Patient-Reported Outcomes Study (NET-PRO) - a multi-site, patient-centered outcomes research initiative (PCORI) funded study (RD-2020C2-20329) conducted within PCORnet.
Algorithm for coronary heart disease (aka coronary artery disease) based on research done by the eMERGE Network. Cases are ascertained by either two ocurrences of diagnostic codes or one ocurrence of a procedural code. Defined as individuals with no diagnostic or procedural codes recorded. All ICD-9 and ICD-10 codes are labeled as diagnostic or procedural in the attached excel file.
Background: Febrile neutropenia (FN) is a serious complication of myelosuppressive chemotherapy, defined by fever occurring in the context of neutropenia. Prompt recognition and treatment are essential to reduce morbidity and mortality. This algorithm focuses on "high-risk" FN as defined in the ‘Early versus Late Stopping of Antibiotics in high-risk FN’ (ELSA-FN) randomised control trial as expected absolute neutrophil count (ANC) <500 cells/mm3 for ≥7 days.
This is the PRIMED Consortium algorithm to obtain a single Hba1c value per individual to use in analyses. Here is the overall procedures:
This document describes the PRIMED Harmonization algorithms for HDL-C, LDL-C, and TG.
• High density lipoprotein (HDL-C)
• Triglycerides (TG):
o Non-fasting
• Low-density lipoprotein (LDL-C):
o Unadjusted non-fasting
o Adjusted non-fasting
Overall procedure
1. Extract trait measurements using measurement codes and calculations
2. Convert measurement units to expected units, if necessary
3. Apply measurement exclusion criteria
4. Prepare measurements for analysis
Objective
We leveraged existing data from a single electronic health care system in the southeastern United States to demonstrate the feasibility of measuring quality indicators for the hospital-based care of opioid-exposed newborns using existing data infrastructure. Additionally, we identified other key variables related to the care of opioid-exposed maternal-infant dyads.
Patients and Methods
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.