COVID-19 and Acute Medical Care: Impact on Dementia Patients

抽象的。 SARS-CoV-2病毒已导致地球仪数十万人死亡， 使许多卫生系统不堪重负。仅在马萨诸塞州就有超过五起 在两个月的时间里，直接归因于COVID-19的死亡人数为千人，即，疾病 由病毒感染引起。缺乏疫苗或明确的治疗，减缓疾病传播 使得每日需求福尔斯在当地医疗系统的能力范围内是立即的 这是这次疫情的优先事项，但这种缓解工作所涉及的变化可能代价高昂。 例如，许多医院已经实施了改变，以增加COVID-19的容量 患者，例如，推迟选择性程序和在服务项目之间转移资源， 可能会影响对其他需要时间敏感护理的疾病的护理，例如，中风或心脏 攻击目前关于疫情对非感染者的影响的信息有限， 急性疾病。关于医院的反应如何影响 患者结局。考虑到对其他州未来疫情的担忧， 重复爆发（或疾病传播波），迫切需要这些类型的 信息.在这个项目中，我们将致力于两个目标：1）研究COVID-19的影响 在急诊室（艾德）或医院接受急性医疗护理时发生休克; 2）研究医院对需求冲击的反应及其对临床事件的影响 rates.我们将使用新颖的、链接的实时数据源来全面解决这些问题， 对于脆弱人群亚组，如痴呆症患者。事实上，早期的报告 表明老年人受到COVID-19本身的影响， 卫生系统应对疫情的变化。这些数据可以为准备 未来COVID-19爆发波发生在今年晚些时候，以及未来传播 疾病爆发

Abstract. The SARS-CoV-2 virus has resulted in hundreds of thousands of deaths across the globe and overwhelmed many health systems. In Massachusetts alone, there have been over five thousand deaths over a two month period attributable directly to COVID-19, i.e., the disease resulting from viral infection. Lacking a vaccine or definitive treatment, slowing disease spread such that daily demand falls within the capacity of local medical systems is the immediate priority for this outbreak, but the changes involved with such mitigation efforts could be costly. For example, many hospitals have implemented changes to increase capacity for COVID-19 patients, e.g., delaying elective procedures and shifting resources across service lines, which could impact care for other conditions requiring time-sensitive care, e.g., strokes or heart attacks. There currently is limited information on the impact of the outbreak on non-infection, acute medical conditions. There also is little information on how hospital responses impact patient outcomes. Given concerns about future outbreaks in other states, as well as additional repeat outbreaks (or waves of disease transmission), there is a critical need for these types of information. In this project, we will address two aims: 1) to examine the impact of the COVID-19 demand shock on acute medical care received in the Emergency Department (ED) or hospital; and 2) to examine hospital responses to the demand shock and their impact on clinical event rates. We will use novel, linked real-time data sources to address these questions overall and for vulnerable population subgroups such as patient with dementia. Indeed, the early reports suggest that the elderly are disproportionally affected by COVID-19 itself and potentially the health system’s changes in response to the outbreak. These data could inform preparation for future COVID-19 outbreak waves occurring later this year, as well as future transmissible disease outbreaks.