Cardiometabolic Curated Dataset

**Overview:**

TriNetX’s cardiometabolic curated EHR data set is developed by clinical experts and data scientists to focus on the following diseases:
- Obesity
- Diabetes
- Hypertension
- Hyperlipidemia
- Ischemic heart disease
- Peripheral Vascular Disease
- Cerebrovascular disease
- Heart Failure

Patients are not only identified through diagnosis, but the presence of lab values and procedures for undiagnosed patients.

**Why a curated dataset?**

**Navigating through the complexities of data acquisition for your research shouldn’t be a challenge.**

TriNetX is here to simplify the process. Let our data and platform experts handle the intricate task of data curation with **curated, fit-for-purpose datasets.**

We’ve worked closely with our HCO network to understand specific needs around key therapeutic areas, and crafted **bespoke, research-ready datasets,** ensuring you receive **valuable data without the hassle.**

**Key Features:**
Depending on your research needs, you can leverage multiple sources of data that has all been sourced from TriNetX’s rich U.S. network to create a de-identified, row level patient curated dataset(s):
- Each data set is curated by a team of doctors, data scientists, and key opinion leaders
- Sourced from over 62 U.S. healthcare organizations that represents more than 150+ academic and community hospitals consisting of inpatient and outpatient settings
- Majority of EHR data sources are refreshed every 2 to 4 weeks
- RWD for over 28 million patients from the past 5 years
- EHR Data Representation:

90% of the patients have race or ethnicity data available
91% of patients have multiple vital signs
95% of patients have lab results
90% of the patients have medications
- Option to link with other data sources available, like Closed Claims and other third-party data within the Datavant ecosystem
- Curated variables like BMI, Charlson Comorbidity Index, and others are included
- More than twelve different curated tables have been created specific to treating cardiometabolic indications
- Normalized to TriNetX’s standards-based master terminology that allows for ease of searching and aggregation
- Created in an OMOP-inspired Native TriNetX common data model of 18+ tables, including:

Patient
Diagnosis
Medications
Labs
Vitals
And more…
- A Methodology Guide is included and describes how the curated data set was created
- Data profile and coverage reports accompany each data set
- Access to doctors and data scientists to clarify or ask any outstanding questions

**Common Use Cases:**

- Comparative safety and efficacy
- Treatment patterns
- Patient Journey / Longitudinal Analysis
- Baseline disease severity
- Disease progression

**Sample Dataset**
Coming Soon!

**Licensing**
For additional information regarding one of our cardiometabolic curated data sets, please request access through the Databricks Marketplace.