Literature DB >> 22595817

Utility of daily troponin orders for identifying acute myocardial infarction patients for quality improvement.

Lisa Gronski1, Wendy Martinson, Kanwar P Singh, Jason Ryan.   

Abstract

BACKGROUND: Previous studies have demonstrated low rates of adherence to American College of Cardiology (ACC) and American Heart Association (AHA) guidelines for acute myocardial infarction (AMI). Quality improvement projects increase compliance with recommended therapies, but identification of AMI patients is a major challenge.
OBJECTIVE: To determine the utility of a daily troponin list in identifying AMI patients for a quality improvement initiative to increase compliance with ACC/AHA-recommended therapies.
DESIGN: Quality improvement initiative. METHODS AND
RESULTS: During a 3-month period, the charts of patients with elevated troponin levels were screened for a diagnosis of AMI. For those patients with AMI, a clinical reminder about ACC/AHA-recommended therapies was placed in the chart. Nearly half (46%) of our hospital population had a troponin level measured during their clinical course. Of these, 26% had elevated troponin levels and 5% had AMI. All patients with AMI were identified using the daily troponin list with a sensitivity of 100% and a specificity of 78.4%. The daily troponin list captured more AMI patients than the admitting diagnosis. Use of the daily troponin list and targeted clinical reminders was associated with maintenance of a high (>95%) compliance with recommended therapies.
CONCLUSIONS: A daily list of inpatients with a positive troponin identified all patients with AMI. Targeted reminders to clinicians regarding ACC/AHA-recommended therapies for AMI were associated with consistent adherence to guideline-recommended therapies.

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Year:  2012        PMID: 22595817     DOI: 10.1097/HPC.0b013e31824c0459

Source DB:  PubMed          Journal:  Crit Pathw Cardiol        ISSN: 1535-2811


  1 in total

1.  An example of medical device-based projection of clinical trial enrollment: Use of electrocardiographic data to identify candidates for a trial in acute coronary syndromes.

Authors:  Harry P Selker; Manlik Kwong; Robin Ruthazer; Sheeona Gorman; Giuliana Green; Elizabeth Patchen; James E Udelson; Howard A Smithline; Michael R Baumann; Paul A Harris; Rashmee U Shah; Sarah J Nelson; Theodora Cohen; Elizabeth B Jones; Brien A Barnewolt; Andrew E Williams
Journal:  J Clin Transl Sci       Date:  2018-12
  1 in total

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