Utilization Of An Icu Severity Of Illness Scoring System To Triage Patients With St-Elevation Myocardial Infarction

Jonathan M Norton, Prathibha K Reddy,Keshab Subedi,Carly A Fabrizio,Neil J Wimmer,Luis E Urrutia

JOURNAL OF INTENSIVE CARE MEDICINE(2021)

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摘要
Objective: To subjectively identify low-risk ST-elevation myocardial infarction (STEMI) patients and triage this low-risk population to an intermediate level of care. Background: Many patients with STEMI are admitted to the intensive care unit (ICU), however, a large portion do not merit ICU admission. We sought to examine whether, among post-STEMI patients admitted to the ICU, if an easily obtainable subjective scoring system could predict low-risk patients and safely triage them to an intermediate level of care. Methods: Retrospective observational study at Christiana Hospital, a 900-bed regional referral center. Data were defined by the ACTION Registry and CathPCI Registry. Acute Physiology and Chronic Health Evaluation (APACHE) predictions were retrieved for all patients with STEMI and were analyzed for complications, length of stay, and inhospital mortality. We then examined subjective criteria to triage patients with STEMI out of the ICU. Results: Among 253 patients with STEMI, 179 (70.75%) were classified as low risk (intermediate level care appropriate) and 74 (29.25%) were classified as high risk (ICU appropriate). The mean age was 64.95 years. The APACHE III score was right skewed with a mean of 36.97 and a median of 31. There was a significant difference between the APACHE III score of low-risk patients and the APACHE III score of high-risk patients (P < .001). Conclusion: In conclusion, patients characterized as low risk, as defined by our criteria, had low APACHE III scores and a low likelihood of complications post-STEMI. This low-risk population could potentially be admitted to an intermediate level of care, avoiding the ICU altogether.
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关键词
catheterization, critical care, critical illness, ICU organization, ICU staffing, intensive care unit, monitoring, resource allocation, resource, utilization, severity of illness
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