Di Xingwei, Li Xiaodong, Li Tian, Fu Haiyan, Jin Yonghao, Chen Xi, Tang Xuexing
Department of Critical Care Medicine, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, Liaoning, China.
Department of Respiratory and Critical Care, the Third Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, Liaoning, China. Corresponding author: Jin Yonghao, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Feb;35(2):177-181. doi: 10.3760/cma.j.cn121430-20220930-00873.
To establish a risk prediction model dominated by diaphragm thickening fraction (DTF) and intra-abdominal pressure (IAP) monitoring, and to explore the predictive value of the model for weaning failure in patients with severe acute pancreatitis (SAP).
A prospective research was conducted. Sixty-three patients undergoing invasive mechanical ventilation treatment who diagnosed with SAP admitted to intensive care unit of the First Affiliated Hospital of Jinzhou Medical University from August 2020 to October 2021 were enrolled. The spontaneous breathing trial (SBT) was carried out when the clinical weaning criteria was met. The stable cardiovascular status, good pulmonary function, no chest and abdominal contradictory movement, and adequate oxygenation were defined as successful weaning. Otherwise, it was defined as failure weaning. The clinical indicators such as SBT 30-minure DTF, IAP, tidal volume (VT), respiratory rate (RR), body mass index (BMI), and blood lactic acid (Lac) were compared between the weaning success group and the weaning failure group. The indicators with statistically significant differences in the single-factor analysis were included in the secondary multivariable Logistic regression analysis to establish a risk prediction model. The correlation between the DTF and IAP at 30 minutes of SBT was analyzed. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of the risk prediction model for SAP patient withdrawal failure at 30 minutes of SBT.
Finally, 63 patients with SAP were enrolled. Among the 63 patients, 42 were successfully weaned and 21 failed. There were no significant differences in age, gender, and oxygenation index (PaO/FiO), sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score at admission between the two groups, indicating that the data in the two groups were comparable. Compared with the weaning success group, IAP, RR, BMI and Lac at 30 minutes of SBT in the weaning failure group were significantly increased [IAP (mmHg, 1 mmHg ≈ 0.133 kPa): 14.05±3.79 vs. 12.12±3.36, RR (times/min): 25.43±8.10 vs. 22.02±5.05, BMI (kg/m): 23.71±2.80 vs. 21.74±3.79, Lac (mmol/L): 5.27±1.69 vs. 4.55±1.09, all P < 0.05], while DTF and VT were significantly decreased [DTF: (29.76±3.45)% vs. (31.86±3.67)%, VT (mL): 379.00±98.74 vs. 413.60±33.68, both P < 0.05]. Secondary multivariable Logistic regression analysis showed that DTF [odds ratio (OR) = 0.758, 95% confidence interval (95%CI) was 0.584-0.983, P = 0.037], IAP (OR = 1.276, 95%CI was 1.025-1.582, P = 0.029), and RR (OR = 1.145, 95%CI was 1.014-1.294, P = 0.029) were independent risk factors for SBT withdrawal failure in 30 minutes in SAP patients. The above risk factors were used to establish the risk prediction model of aircraft withdrawal failure at 30 minutes of SBT: Logit P = -0.237-0.277×DTF+0.242×IAP+0.136×RR. Pearson correlation analysis showed that SBT 30-minute DTF was significantly correlated with IAP in SAP patients, and showed a significant positive correlation (r = 0.313, P = 0.012). The ROC curve analysis results showed that area under the ROC curve (AUC) of the risk prediction model for SAP patient withdrawal failure at 30 minutes of SBT was 0.716, 95%CI was 0.559-0.873, P = 0.003, with the sensitivity of 85.7% and the specificity of 78.6%.
DTF, IAP and RR were independent risk factors for SBT withdrawal failure in 30 minutes in SAP patients. The DTF and IAP monitoring-oriented risk prediction model based on the above three variables has a good predictive value for weaning failure in patients with SAP.
建立以膈肌增厚分数(DTF)和腹腔内压(IAP)监测为主导的风险预测模型,探讨该模型对重症急性胰腺炎(SAP)患者撤机失败的预测价值。
进行一项前瞻性研究。纳入2020年8月至2021年10月在锦州医科大学附属第一医院重症监护病房收治的63例诊断为SAP并接受有创机械通气治疗的患者。当满足临床撤机标准时进行自主呼吸试验(SBT)。将心血管状态稳定、肺功能良好、无胸腹矛盾运动且氧合充分定义为撤机成功。否则,定义为撤机失败。比较撤机成功组和撤机失败组之间的临床指标,如SBT 30分钟时的DTF、IAP、潮气量(VT)、呼吸频率(RR)、体重指数(BMI)和血乳酸(Lac)。将单因素分析中有统计学显著差异的指标纳入多因素Logistic回归分析以建立风险预测模型。分析SBT 30分钟时DTF与IAP之间的相关性。绘制受试者工作特征曲线(ROC曲线),分析风险预测模型对SBT 30分钟时SAP患者撤机失败的预测价值。
最终纳入63例SAP患者。63例患者中,42例撤机成功,21例失败。两组患者在年龄、性别、氧合指数(PaO/FiO)、序贯器官衰竭评估(SOFA)评分、入院时急性生理与慢性健康状况评分II(APACHE II)评分方面无显著差异,表明两组数据具有可比性。与撤机成功组相比,撤机失败组SBT 30分钟时的IAP、RR、BMI和Lac显著升高[IAP(mmHg,1 mmHg≈0.133 kPa):14.05±3.79 vs. 12.12±3.36,RR(次/分钟):25.43±8.10 vs. 22.02±5.05,BMI(kg/m):23.71±2.80 vs. 21.74±3.79,Lac(mmol/L):5.27±1.69 vs. 4.55±1.09,均P<0.05],而DTF和VT显著降低[DTF:(29.76±3.45)% vs.(31.86±3.67)%,VT(mL):(379.00±98.74) vs. (413.60±33.68),均P<0.05]。多因素Logistic回归分析显示,DTF[比值比(OR)=0.758,95%置信区间(95%CI)为0.584 - 0.983,P = 0.037]、IAP(OR = 1.276,95%CI为1.025 - 1.582,P = 0.029)和RR(OR = 1.145,95%CI为1.014 - 1.294,P = 0.029)是SAP患者SBT 30分钟撤机失败的独立危险因素。以上述危险因素建立SBT 30分钟撤机失败的风险预测模型:Logit P = -0.237 - 0.277×DTF + 0.242×IAP + 0.136×RR。Pearson相关分析显示,SAP患者SBT 30分钟时DTF与IAP显著相关,呈显著正相关(r = 0.313,P = 0.012)。ROC曲线分析结果显示,SBT 30分钟时SAP患者撤机失败风险预测模型的ROC曲线下面积(AUC)为0.716,95%CI为0.559 - 0.873,P = 0.003,敏感性为85.7%;特异性为78.6%。
DTF、IAP和RR是SAP患者SBT 30分钟撤机失败的独立危险因素。基于上述三个变量以DTF和IAP监测为主导的风险预测模型对SAP患者撤机失败具有良好的预测价值。