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Predicting left ventricular dyssynchrony: Can nuclear cardiology bring us closer "In Sync"? [Editorial]

Kan, Karen; Phillips, Lawrence M
PMID: 32548714
ISSN: 1532-6551
CID: 4510752

Leveraging clinical decision support tools to improve guideline-directed medical therapy in patients with atherosclerotic cardiovascular disease at hospital discharge

Vani, Anish; Kan, Karen; Iturrate, Eduardo; Levy-Lambert, Dina; Smilowitz, Nathaniel R; Saxena, Archana; Radford, Martha J; Gianos, Eugenia
BACKGROUND:Guidelines recommend moderate to high-intensity statins and antithrombotic agents in patients with atherosclerotic cardiovascular disease (ASCVD). However, guideline-directed medical therapy (GDMT) remains suboptimal. METHODS:In this quality initiative, best practice alerts (BPA) in the electronic health record (EHR) were utilized to alert providers to prescribe to GDMT upon hospital discharge in ASCVD patients. Rates of GDMT were compared for 5 months pre- and post-BPA implementation. Multivariable regression was used to identify predictors of GDMT. RESULTS:In 5985 pre- and 5568 post-BPA patients, the average age was 69.1 ± 12.8 years and 58.5% were male. There was a 4.0% increase in statin use from 67.3% to 71.3% and a 3.1% increase in antithrombotic use from 75.3% to 78.4% in the post-BPA cohort. CONCLUSIONS:This simple EHR-based initiative was associated with a modest increase in ASCVD patients being discharged on GDMT. Leveraging clinical decision support tools provides an opportunity to influence provider behavior and improve care for ASCVD patients, and warrants further investigation.
PMID: 32986236
ISSN: 1897-5593
CID: 4616532

The care of the adult patient with congenital heart disease in the cardiac care unit

Chapter by: Dwivedi, A; Kan, Karen; Chakravarti, S; Halpern, D
in: Herzog's CCU book by Herzog, Eyal (Ed)
Philadelphia : Wolters Kluwer, [2018]
pp. ?-?
ISBN: 1496362616
CID: 3213942

Cardiovascular risk stratification after renal transplant: Is SPECT-MPI the answer? [Editorial]

Kan, Karen; Bangalore, Sripal
PMID: 27796850
ISSN: 1532-6551
CID: 2297102