Chung Eunki, Leem Ah Young, Lee Su Hwan, Kang Young Ae, Kim Young Sam, Chung Kyung Soo
Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang 10444, Republic of Korea.
Department of Internal Medicine, Yonsei University Graduate School of Medicine, Seoul 03722, Republic of Korea.
J Clin Med. 2024 Aug 15;13(16):4809. doi: 10.3390/jcm13164809.
Diaphragmatic dysfunction correlates with weaning failure, highlighting the need to independently assess the diaphragm's effects on weaning. We modified the rapid shallow breathing index (RSBI), a predictor of successful weaning, by incorporating temporal variables into existing ultrasound-derived diaphragm index to create a simpler index closer to tidal volume. We conducted a prospective observational study of patients who underwent a spontaneous breathing trial in the medical intensive care unit (ICU) at Severance Hospital between October 2022 and June 2023. Diaphragmatic displacement (DD) and diaphragm inspiratory time (Ti) were measured using lung ultrasonography. The modified RSBI was defined as follows: respiratory rate (RR) divided by DD was defined as D-RSBI, and RR divided by the sum of the products of DD and Ti on both sides was defined as DTi-RSBI. Among the sonographic indices, DTi-RSBI had the highest area under the receiver operating characteristic (ROC) curve of 0.774 in ROC analysis, and a correlation was found between increased DTi-RSBI and unsuccessful extubation in a multivariable logistic regression analysis (adjusted odds ratio 0.02, 95% confidence interval 0.00-0.97). The DTi-RSBI is beneficial in predicting successful weaning in medical ICU patients.
膈肌功能障碍与撤机失败相关,这凸显了独立评估膈肌对撤机影响的必要性。我们通过将时间变量纳入现有的超声衍生膈肌指数来修改快速浅呼吸指数(RSBI),RSBI是撤机成功的预测指标,以此创建一个更接近潮气量的更简单指数。我们对2022年10月至2023年6月期间在Severance医院医学重症监护病房(ICU)接受自主呼吸试验的患者进行了一项前瞻性观察研究。使用肺部超声测量膈肌位移(DD)和膈肌吸气时间(Ti)。修改后的RSBI定义如下:呼吸频率(RR)除以DD定义为D-RSBI,RR除以两侧DD与Ti乘积之和定义为DTi-RSBI。在超声指标中,DTi-RSBI在ROC分析中的受试者操作特征(ROC)曲线下面积最高,为0.774,并且在多变量逻辑回归分析中发现DTi-RSBI升高与拔管失败之间存在相关性(调整优势比0.02,95%置信区间0.00-0.97)。DTi-RSBI有助于预测医学ICU患者撤机成功。