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首页> 外文期刊>Scientific reports. >Sequence analysis of capnography waveform abnormalities during nurse-administered procedural sedation and analgesia in the cardiac catheterization laboratory
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Sequence analysis of capnography waveform abnormalities during nurse-administered procedural sedation and analgesia in the cardiac catheterization laboratory

机译:在心脏导管插入实验室护士施用的程序镇静和镇痛期间谱系波形异常的序列分析

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Identifying common patterns in capnography waveform abnormalities and the factors that influence these patterns could yield insights to optimize responses to sedation-induced respiratory depression. Respiratory state sequences for 102 patients who had a procedure in a cardiac catheterisation laboratory with procedural sedation and analgesia were developed by classifying each second of procedures into a state of normal breathing or other capnography waveform abnormalities based on pre-specified cut-offs for respiratory rate and end-tidal COsub2/sub concentration. Hierarchical clustering identified four common patterns in respiratory state sequences, which were characterized by a predominance of the state assigned normal breathing (n?=?42; 41%), hypopneic hypoventilation (n?=?38; 38%), apnea (n?=?15; 15%) and bradypneic hypoventilation (n?=?7; 7%). A multivariable distance matrix regression model including demographic and clinical variables explained 28% of the variation in inter-individual differences in respiratory state sequences. Obstructive sleep apnea (Rsup2/sup?=?2.4%; p?=?0.02), smoking status (Rsup2/sup?=?2.8%; p?=?0.01), Charlson comorbidity index score (Rsup2/sup?=?2.5%; p?=?0.021), peak transcutaneous carbon dioxide concentration (Rsup2/sup?=?4.1%; p?=?0.002) and receiving an intervention to support respiration (Rsup2/sup?=?5.6%; p?=?0.001) were significant covariates but each explained only small amounts of the variation in respiratory state sequences. Oxygen desaturation (SpOsub2/sub??90%) was rare (n?=?3; 3%) and not associated with respiratory state sequence trajectories.
机译:识别Capnography波形异常中的常见模式以及影响这些模式的因素可以产生洞察,从而优化对镇静呼吸抑制的反应。通过将每秒程序分类为基于预先指定的呼吸速率的预先切断的呼吸速度,通过将每秒分类为正常的呼吸或其他谱系波形异常,开发了102名患有心脏导管患者的呼吸状态序列。和终潮CO 2 浓度。分层聚类鉴定了四种呼吸状态序列中的常见模式,其特征在于分配正常呼吸的状态的优势(n?= 42; 41%),低渗透呼吸悬浮液(n?= 38; 38%),呼吸暂停(n ?=?15; 15%)和BradyPneic障碍(n?= 7; 7%)。包括人口统计学和临床​​变量的多变量距离矩阵回归模型解释了呼吸状态序列间间间差异的28%。阻塞性睡眠呼吸暂停(R 2 ?=?2.4%; p?= 0.02),吸烟状态(R 2 ?=?2.8%; p?= 0.01) ,Charlson合并指数评分(R 2 ?=Δ2.5%; p?= 0.021),峰经皮二氧化碳浓度(R 2 ?= 4.1%; p ?= 0.002)并接受介入以支持呼吸(R 2 ?=Δ5.6%; p?= 0.001)是显着的协变量,但每个都解释了呼吸系统序列的少量变异。氧气去饱和度(Spo 2 ?<Δ90%)稀有(n?= 3; 3%),与呼吸状态序列轨迹无关。

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