Why the study?
Cardiovascular disease is a leading cause of death globally, prompting the validation of a primary care-based electronic medical record case definition for CVD.
What is the diagnostic accuracy of an electronic medical record case definition for identifying cardiovascular disease in primary care?
What is the diagnostic accuracy of an electronic medical record case definition for identifying cardiovascular disease in primary care?
A validated EMR case definition for CVD in primary care showed high specificity and moderate sensitivity, enabling better disease surveillance and management.
Answers are grounded in this paper and cite their sources.
High-specificity EMR CVD definition supports primary care surveillance; leaves open external validation and sensitivity optimization.
Background: Cardiovascular disease (CVD) is a leading cause of death globally. This study validates a primary care-based electronic medical record case definition for CVD. Methods: tests characterized patients with vs without CVD. Results: The optimal CVD Case Definition 2 had a sensitivity of 68.5% (95% Confidence Interval [CI]: 61.6%-74.8%), a specificity of 97.8% (95% CI: 97.0%-98.4%), a positive predictive value of 77.7% (95% CI: 71.6%-82.7%), and a negative predictive value of 96.5% (95% CI: 95.8%-97.1%). Included in this CVD definition was a strong CAD case definition with sensitivity of 91.6% (95% CI: 84.6%-96.1%), specificity of 98.3% (95% CI: 97.6%-98.8%), a PPV of 74.8% (95% CI: 67.8%-80.7%), and an NPV of 99.5% (95% CI: 99.1%-99.7%). This CVD definition also included CeVD and PVD case definitions with low sensitivity (77.6% and 36.6%) but high specificity (98.6% and 99.0%). The estimated prevalence of CVD among primary care patients is 11.2% (95% CI, 11.1%-11.3%; n = 77,064); the majority had CAD (6.4%). Conclusions: This study validated a definition of CVD and its component parts-CAD, CeVD, and PVD. Understanding the prevalence and disease burden for patients with CVD within primary care settings can improve prevention and disease management.
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Thomas et al. (2023) studied this question.
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