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首页> 外文期刊>Journal of general internal medicine >Sequence patterns in the resolution of clinical instabilities in community-acquired pneumonia and association with outcomes
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Sequence patterns in the resolution of clinical instabilities in community-acquired pneumonia and association with outcomes

机译:解决社区获得性肺炎临床不稳定性以及与结局相关性的序列模式

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BACKGROUND: In patients hospitalized with community-acquired pneumonia (CAP), indicators of clinical instability at discharge (fever, tachycardia, tachypnea, hypotension, hypoxia, decreased oral intake and altered mental status) are associated with poor outcomes. It is not known whether the order of indicator stabilization is associated with outcomes. OBJECTIVES: To describe variation in the sequences, including whether and in what order, indicators of clinical instability resolve among patients hospitalized with CAP, and to assess associations between patterns of stabilization and patient-level outcomes. DESIGN / PARTICIPANTS / MAIN MEASURES: Chart review ascertained whether and when indicators stabilized and other data for 1,326 adult CAP patients in six U.S. academic medical centers. The sequences of indicator stabilization were characterized using sequence analysis and grouped using cluster analysis. Associations between sequence patterns and 30-day mortality, length of stay (LOS), and total costs were modeled using regression analysis. KEY RESULTS: We found 986 unique sequences of indicator stabilization. Sequence analysis identified eight clusters of sequences (patterns) derived by the order or speed in which instabilities resolved or remained at discharge and inpatient mortality. Two of the clusters (56 % of patients) were characterized by almost complete stabilization prior to discharge alive, but differing in the rank orders of four indicators and time to maximum stabilization. Five other clusters (42 % of patients) were characterized by one to three instabilities at discharge with variable orderings of indicator stabilization. In models with fast and almost complete stabilization as the referent, 30-day mortality was lowest in clusters with slow and almost complete stabilization or tachycardia or fever at discharge [OR = 0.73, 95 % CI = (0.28-1.92)], and highest in those with hypoxia with instabilities in mental status or oral intake at discharge [OR = 3.99, 95 % CI = (1.68-9.50)]. CONCLUSIONS: Sequences of clinical instability resolution exhibit great heterogeneity, yet certain sequence patterns may be associated with differences in days to maximum stabilization, mortality, LOS, and hospital costs.
机译:背景:在社区获得性肺炎(CAP)住院治疗的患者中,出院时临床不稳定的指标(发烧,心动过速,呼吸急促,低血压,缺氧,口服摄入减少和精神状态改变)与不良预后相关。指标稳定的顺序与结果是否相关尚不明确。目的:描述序列的变异,包括是否以及以什么顺序解决CAP住院患者中的临床不稳定指标,并评估稳定模式与患者水平结果之间的关联。设计/参与者/主要措施:图表审查确定了美国六个学术医学中心的1,326名成年CAP患者的指标是否稳定,何时稳定以及其他数据。指标稳定化的序列使用序列分析进行表征,并使用聚类分析进行分组。使用回归分析对序列模式与30天死亡率,住院天数(LOS)和总费用之间的关联进行建模。关键结果:我们找到了986个独特的指标稳定序列。序列分析确定了八个序列簇(模式),这些序列簇是由出院时不稳定性得以解决或保持不变的顺序或速度和住院死亡率而得出的。其中两个组(占患者的56%)的特征是在出院前几乎完全稳定,但四个指标的等级顺序和达到最大稳定的时间有所不同。其他五个组(占患者的42%)的特征是出院时存在一到三个不稳定状态,指示剂稳定程度各不相同。在以稳定快且几乎完全稳定为模型的模型中,出院时慢且几乎完全稳定或心动过速或发烧的组的30天死亡率最低[OR = 0.73,95%CI =(0.28-1.92)],最高精神状态不稳定或出院时口服摄入不足的低氧患者[OR = 3.99,95%CI =(1.68-9.50)]。结论:临床不稳定解决方案的序列表现出很大的异质性,但是某些序列模式可能与最大稳定度,死亡率,LOS和住院费用的天数差异有关。

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