采用可扩展自然语言处理方法的住院患者激越及相关症状分布。
Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method.
机构信息
Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA; McLean Hospital, 115 Mill St, Belmont, MA 02478, USA.
出版信息
Gen Hosp Psychiatry. 2021 Jan-Feb;68:46-51. doi: 10.1016/j.genhosppsych.2020.11.003. Epub 2020 Nov 10.
BACKGROUND
Agitation is a common feature of many neuropsychiatric disorders.
OBJECTIVE
Understanding the prevalence, implications, and characteristics of agitation among hospitalized populations can facilitate more precise recognition of disability arising from neuropsychiatric diseases.
METHODS
We developed two agitation phenotypes using an expansion of expert curated term lists. These phenotypes were used to characterize five years of psychiatric admissions. The relationship of agitation symptoms and length of stay was examined.
RESULTS
Among 4548 psychiatric admissions, 1134 (24.9%) included documentation of agitation based on the primary agitation phenotype. These symptoms were greater among individuals with public insurance, and those with mania and psychosis compared to major depressive disorder. Greater symptoms were associated with longer hospital stay, with ~0.9 day increase in stay for every 10% increase in agitation phenotype.
CONCLUSION
Agitation was common at hospital admission and associated with diagnosis and longer length of stay. Characterizing agitation-related symptoms through natural language processing may provide new tools for understanding agitated behaviors and their relationship to delirium.
背景
躁动是许多神经精神疾病的常见特征。
目的
了解住院人群躁动的患病率、影响和特征，可以更准确地识别神经精神疾病引起的残疾。
方法
我们使用扩展的专家策展术语列表开发了两种躁动表型。这些表型用于描述五年的精神科住院情况。检查了躁动症状与住院时间的关系。
结果
在 4548 例精神科住院患者中，有 1134 例（24.9%）根据主要躁动表型记录了躁动症状。与单相抑郁障碍相比，这些症状在有公共保险的人群以及有躁狂和精神病的人群中更为常见。症状越严重，住院时间越长，躁动表型每增加 10%，住院时间约增加 0.9 天。
结论
入院时躁动很常见，与诊断和住院时间延长有关。通过自然语言处理来描述与躁动相关的症状可能为理解躁动行为及其与谵妄的关系提供新的工具。
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