Hattori Jun, Tanaka Aiko, Kosaka Junko, Hirao Osamu, Furushima Nana, Maki Yuichi, Kabata Daijiro, Uchiyama Akinori, Egi Moritoki, Morimatsu Hiroshi, Mizobuchi Satoshi, Kotake Yoshifumi, Shintani Ayumi, Koyama Yukiko, Yoshida Takeshi, Fujino Yuji
Faculty of Medicine, Osaka University, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.
Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.
BMC Anesthesiol. 2025 Mar 15;25(1):127. doi: 10.1186/s12871-025-02996-1.
Postoperative patients constitute majority of critically ill patients, although factors predicting extubation failure in this group of patients remain unidentified. Aiming to propose clinical predictors of reintubation in postoperative patients, we conducted a post-hoc analysis of a multicenter prospective observational study.
This study included postoperative critically ill patients who underwent mechanical ventilation for > 24 h and were extubated after a successful 30-min spontaneous breathing trial. The primary outcome was reintubation within 48 h after extubation, and clinical predictors for reintubation were investigated using logistic regression analyses.
Among the 355 included patients, 10.7% required reintubation. Multivariable logistic regression identified that the number of endotracheal suctioning episodes during the 24 h before extubation and underlying respiratory disease or pneumonia occurrence were significantly associated with reintubation (adjusted odds ratio [OR] 1.11, 95% confidence interval [CI] 1.05-1.18, p < 0.001; adjusted OR 2.58, 95%CI 1.30-5.13, p = 0.007). The probability of reintubation was increased significantly with the higher frequency of endotracheal suctioning, as indicated by restricted cubic splines. Subgroup analysis showed that these predictors were consistently associated with reintubation regardless of the use of noninvasive respiratory support after extubation.
Endotracheal suctioning frequency and respiratory complications were identified as independent predictors of reintubation. These readily obtainable predictors may aid in decision-making regarding the extubation of postoperative patients.
术后患者占重症患者的大多数,尽管尚未明确预测该组患者拔管失败的因素。为了提出术后患者再次插管的临床预测指标,我们对一项多中心前瞻性观察性研究进行了事后分析。
本研究纳入了接受机械通气超过24小时且在成功进行30分钟自主呼吸试验后拔管的术后重症患者。主要结局是拔管后48小时内再次插管,并使用逻辑回归分析研究再次插管的临床预测指标。
在纳入的355例患者中,10.7%需要再次插管。多变量逻辑回归分析确定,拔管前24小时内气管内吸痰次数以及潜在的呼吸系统疾病或肺炎的发生与再次插管显著相关(调整后的比值比[OR]为1.11,95%置信区间[CI]为1.05 - 1.18,p < 0.001;调整后的OR为2.58,95%CI为1.30 - 5.13,p = 0.007)。受限立方样条分析表明,随着气管内吸痰频率的增加,再次插管的概率显著增加。亚组分析显示,无论拔管后是否使用无创呼吸支持,这些预测指标均与再次插管始终相关。
气管内吸痰频率和呼吸并发症被确定为再次插管的独立预测指标。这些易于获得的预测指标可能有助于术后患者拔管的决策。