Steinberg Eric, Balakrishna Aditi, Habboushe Joseph, Shawl Arsalan, Lee Jarone
Assistant Professor, Department of Emergency Medicine; Program Director, Emergency Medicine Residency, St. Joseph's Health, Paterson, NJ.
Departments of Critical Care and Anesthesiology, Massachusetts General Hospital, Boston, MA.
Emerg Med Pract. 2020 Apr 6;22(4 Suppl):CD1-CD5.
In the near future, clinicians may face scenarios in which there are not have enough resources (ventilators, ECMO machines, etc) available for the number of critically sick COVID-19 patients. There may not be enough healthcare workers, as those who are positive for COVID-19 or those who have been exposed to the virus and need to be quarantined. During these worst-case scenarios, new crisis standards of care and thresholds for intensive care unit (ICU) admissions will be needed. Clinical decision scores may support the clinician's decision-making, especially if properly adapted for this unique pandemic and for the patient being treated. This review discusses the use of clinical prediction scores for pneumonia severity at 3 main decision points to examine which scores may provide value in this unique situation. Initial data from a cohort of over 44,000 COVID-19 patients in China, including risk factors for mortality, were compared with data from cohorts used to study the clinical scores, in order to estimate the potential appropriateness of each score and determine how to best adjust results at the bedside.
在不久的将来,临床医生可能会面临这样的情况:对于危重症COVID-19患者而言,没有足够的资源(呼吸机、体外膜肺氧合机等)可用。可能没有足够的医护人员,因为那些COVID-19检测呈阳性的人或那些接触过病毒且需要隔离的人无法工作。在这些最坏的情况下,将需要新的危机护理标准和重症监护病房(ICU)收治门槛。临床决策评分可能会支持临床医生的决策,特别是如果能针对这种独特的大流行情况以及正在接受治疗的患者进行适当调整的话。本综述讨论了在3个主要决策点使用临床预测评分来评估肺炎严重程度,以检查哪些评分可能在这种独特情况下具有价值。将来自中国44000多名COVID-19患者队列的初始数据(包括死亡风险因素)与用于研究临床评分的队列数据进行比较,以估计每个评分的潜在适用性,并确定如何在床边最好地调整结果。