Circulating Biomarkers in Hypertrophic Cardiomyopathy.

Hypertrophic cardiomyopathy is the most common genetic heart disease. Biomarkers, molecules measurable in the blood, could inform the clinician by aiding in diagnosis, directing treatment, and predicting outcomes. We present an updated review of circulating biomarkers in hypertrophic cardiomyopathy representing key pathologic processes including wall stretch, myocardial necrosis, fibrosis, inflammation, hypertrophy, and endothelial dysfunction, in addition to their clinical significance.

Implementation effort: Reducing the ordering of inappropriate echocardiograms through a point-of-care decision support tool.

Study objective: Reduce inappropriate transthoracic echocardiograms (TTEs) using a series of Plan-Do-Study-Act (PDSA) quality improvement cycles. Design: Three PDSA cycles were designed with the first integrating a previously published decision support tool (DST) into the electronic TTE order, the second tailoring the DST to reflect the most common inappropriately ordered TTEs at our institution, and the third integrating direct clinician education. Setting: Malcom Randall Veterans Administration Medical Center, Gainesville, Florida, USA. Participants: Consecutive patients were studied using the database of all TTEs performed at our institution without regard for specific patient characteristics. Interventions: Three PDSA Cycles as described above. Main outcome measure: Reduction in inappropriate TTEs at our institution. Results: After implementing our DST during the first cycle, no difference in inappropriate TTEs was observed (relative risk [RR] 0.71, p = 0.12, 95 % confidence interval [CI] 0.46-1.09). After the second cycle, we observed a reduction in the proportion of inappropriate TTEs (RR = 0.69, p = 0.014, 95 % CI 0.5-0.94), however two of the four inappropriate TTEs targeted by the DST increased. Feedback gathered from clinicians in the third cycle showed significant knowledge gaps regarding appropriate use criteria for TTE. Conclusions: At our facility, implementation of a DST failed to substantially reduce inappropriate TTEs, even when adapted to facility-specific ordering patterns. Gaps in clinician knowledge about TTEs may have contributed to the inefficacy of our DST.

Comparison of 3 Symptom Classification Methods to Standardize the History Component of the HEART Score.

OBJECTIVES: The History, Electrocardiography, Age, Risk factors, Troponin (HEART) score enables rapid risk stratification of emergency department patients presenting with chest pain. However, the subjectivity in scoring introduced by the history component has been criticized by some clinicians. We examined the association of 3 objective scoring models with the results of noninvasive cardiac testing. METHODS: Medical records for all patients evaluated in the chest pain center of an academic medical center during a 1-year period were reviewed retrospectively. Each patient's history component score was calculated using 3 models developed by the authors. Differences in the distribution of HEART scores for each model, as well as their degree of agreement with one another, as well as the results of cardiac testing were analyzed. RESULTS: Seven hundred forty nine patients were studied, 58 of which had an abnormal stress test or computed tomography coronary angiography. The mean HEART scores for models 1, 2, and 3 were 2.97 (SD 1.17), 2.57 (SD 1.25), and 3.30 (SD 1.35), respectively, and were significantly different (P < 0.001). However, for each model, the likelihood of an abnormal cardiovascular test did not correlate with higher scores on the symptom component of the HEART score (P = 0.09, 0.41, and 0.86, respectively). CONCLUSIONS: While the objective scoring models produced different distributions of HEART scores, no model performed well with regards to identifying patients with abnormal advanced cardiac studies in this relatively low-risk cohort. Further studies in a broader cohort of patients, as well as comparison with the performance of subjective history scoring, is warranted before adoption of any of these objective models.