Shu Weiwei, Huang Tao, Jiang Ting, Bai Linfu, Han Xiaoli, Huang Shicong, Duan Jun
Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University.
Department of Blood Transfusion, Chongqing University Central Hospital, Chongqing, China.
Pancreas. 2021 Sep 1;50(8):1180-1186. doi: 10.1097/MPA.0000000000001889.
The aim of the study was to identify risk factors associated with the failure of noninvasive ventilation (NIV) in patients with severe acute pancreatitis (SAP).
Patients who received NIV as a first-line therapy because of acute respiratory failure caused by SAP were enrolled.
A total of 133 patients were enrolled. Of the patients, 32 (24%) experienced NIV failure. Male sex (odds ratio [OR], 4.25; 95% confidence interval [CI], 1.48-12.22), older age (OR, 1.04; 95% CI, 1.01-1.08), a higher Acute Physiology and Chronic Health Evaluation II score (OR, 1.18; 95% CI, 1.03-1.36), and a procalcitonin level greater than 3.8 ng/mL (OR, 6.28; 95% CI, 2.04-19.31) were independently associated with NIV failure. The receiver operating characteristic curves for predicting NIV failure were 0.67, 0.72, and 0.76 tested by age, procalcitonin, and Acute Physiology and Chronic Health Evaluation II score, respectively. From initiation to 24 hours, the patients in the NIV failure group had a higher proportion of Glasgow Coma Scale scores of 14 or less, a higher proportion of pH ≤7.35, and higher respiratory rates than ones in the successful NIV group.
One of 4 SAP patients experience NIV failure. Age, sex, disease severity, level of inflammation, and vital signs can be used to predict NIV failure.
本研究旨在确定与重症急性胰腺炎(SAP)患者无创通气(NIV)失败相关的危险因素。
纳入因SAP导致急性呼吸衰竭而接受NIV作为一线治疗的患者。
共纳入133例患者。其中,32例(24%)经历了NIV失败。男性(比值比[OR],4.25;95%置信区间[CI],1.48 - 12.22)、年龄较大(OR,1.04;95% CI,1.01 - 1.08)、急性生理与慢性健康状况评分II(APACHE II)较高(OR,1.18;95% CI,1.03 - 1.36)以及降钙素原水平大于3.8 ng/mL(OR,6.28;95% CI,2.04 - 19.31)与NIV失败独立相关。通过年龄、降钙素原和APACHE II评分预测NIV失败的受试者工作特征曲线分别为0.67、0.72和0.76。从开始到24小时,NIV失败组患者格拉斯哥昏迷量表评分≤14分的比例更高、pH≤7.35的比例更高,且呼吸频率高于NIV成功组患者。
4例SAP患者中有1例经历NIV失败。年龄、性别、疾病严重程度、炎症水平和生命体征可用于预测NIV失败。