AI Article Synopsis

  • Heart failure is a major public health issue that often leads to visits to the emergency department, making the decision to discharge or admit patients a crucial one.
  • Identifying which patients are safe to discharge involves subjective judgment based on the severity of their condition and requires an observation period for proper risk assessment.
  • There is a need for clear criteria and research to better understand low-risk characteristics for early discharge and to evaluate outcomes of patients sent home without hospitalization.

Article Abstract

Heart failure is a global public health challenge frequently presenting to the emergency department. After initial stabilization and management, one of the most important decisions is to determine which patients can be safely discharged and which require hospitalization. This is a complex decision that depends on numerous subjective factors, including both the severity of the patient's underlying condition and an estimate of the acuity of the presentation. An emergency department observation period may help select the correct option. Ideally, during an observation period, risk stratification should be carried out using parameters specifically designed for use in the emergency department. Unfortunately, there is little objective literature to guide this disposition decision. An objective and reliable definition of low-risk characteristics to identify early discharge candidates is needed. Benchmarking outcomes in patients discharged from the emergency department without hospitalization could aid this process. Biomarker determinations, although undoubtedly useful in establishing diagnosis and predicting longer-term prognosis, require prospective validation for emergency department disposition guidance. The challenge of identifying emergency department acute heart failure discharge candidates will only be overcome by future multidisciplinary research defining the current knowledge gaps and identifying potential solutions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992666PMC
http://dx.doi.org/10.1177/2048872616633853DOI Listing

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