Department of Anesthesiology, Dokkyo Medical University Saitama Medical Center, 2-1-50 Minamikoshigaya, Koshigaya, Saitama, 343-8555, Japan.
Intensive Care Unit, Department of Anesthesiology, The Jikei University School of Medicine, Tokyo, Japan.
J Anesth. 2018 Oct;32(5):681-687. doi: 10.1007/s00540-018-2537-1. Epub 2018 Jul 31.
Although new-onset atrial fibrillation (AF) is frequently observed in the intensive care unit (ICU), the incidence and predictors for sustained new-onset AF have not been investigated, except for cardiac surgery patients. We have evaluated potential predictors for sustained new-onset AF in a mixed ICU.
In this retrospective observational study, we screened non-cardiac surgery patients who were admitted to the ICU between January 2010 and December 2013 and had been hospitalized for > 24 h in the ICU. We collected information about heart rhythm 6 h after the onset of AF. We compared detailed patient characteristics between patients with sinus rhythm (SR) and those with sustained AF at 6 h after the onset of AF. Additionally, we applied variable selection using backward elimination based on Akaike's Information Criterion (AIC). Calibration was performed based on the Hosmer-Lemeshow test.
New-onset AF occurred in 151 of 1718 patients and 99 patients converted to SR at 6 h. Backward elimination identified predictors as follows (AIC = 175.3): CHADS score, elective surgery, infection on ICU admission, serum potassium > 4.0 mmol/L, male sex, mechanical ventilation, and diagnostic grouping. The model showed good calibration for sustenance of AF at 6 h after the onset using the Hosmer-Lemeshow Chi-square value of 4.36 (degrees of freedom = 4, p = 0.360) indicating a good fit.
These predictors might be useful in future interventional studies to identify patients who are likely to sustain new-onset AF.
尽管新发生的心房颤动(房颤)在重症监护病房(ICU)中经常观察到,但除心脏手术患者外,尚未研究新发生的持续性房颤的发生率和预测因素。我们评估了混合 ICU 中持续性新发生房颤的潜在预测因素。
在这项回顾性观察研究中,我们筛选了 2010 年 1 月至 2013 年 12 月期间入住 ICU 的非心脏手术患者,这些患者在 ICU 中住院时间超过 24 小时。我们收集了房颤发作后 6 小时的心律信息。我们比较了房颤发作后 6 小时窦性心律(SR)和持续性房颤患者的详细患者特征。此外,我们基于赤池信息量准则(AIC)使用向后消除法进行变量选择。基于 Hosmer-Lemeshow 检验进行校准。
1718 例患者中有 151 例发生新发房颤,99 例患者在房颤发作后 6 小时转为 SR。向后消除法确定的预测因素如下(AIC=175.3):CHADS 评分、择期手术、入住 ICU 时感染、血清钾>4.0mmol/L、男性、机械通气和诊断分组。使用 Hosmer-Lemeshow Chi-square 值 4.36(自由度=4,p=0.360)表明模型对房颤发作后 6 小时的维持具有良好的校准,表明拟合良好。
这些预测因素可能对未来的干预性研究有用,以识别可能持续发生新发生房颤的患者。