Kattinanon Natthapat, Liengswangwong Wijittra, Yuksen Chaiyaporn, Phontabtim Malivan, Damdin Siriporn, Jermsiri Khunpol
Department of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Thailand.
Arch Acad Emerg Med. 2023 Dec 14;12(1):e15. doi: 10.22037/aaem.v12i1.2173. eCollection 2024.
Noninvasive positive pressure ventilation (NIPPV) is recognized as an efficient treatment for patients with acute respiratory failure (ARF) in emergency department (ED). This study aimed to develop a scoring system for predicting successful weaning from NIPPV in patients with ARF.
In this retrospective cohort study patients with ARF who received NIPPV in the ED of Ramathibodi Hospital, Thailand, between January 2020 and March 2022 were evaluated. Factors associated with weaning from NIPPV were recorded and compared between cases with and without successful weaning from NIPPV. Multivariable logistic regression analysis was used to develop a predictive model for weaning from NIPPV in ED.
A total of 494 eligible patients were treated with NIPPV of whom 203(41.1%) were successfully weaned during the study period. Based on the multivariate analysis the successful NIPPV weaning (SNOW) score was designed with six factors before discontinuation: respiratory rate, heart rate ≤ 100 bpm, systolic blood pressure ≥ 100 mmHg, arterial pH≥ 7.35, arterial PaCO2, and arterial lactate. The scores were classified into three groups: low, moderate, and high. A score of >14.5 points suggested a high probability of successful weaning from NIPPV with a positive likelihood ratio of 3.58 (95%CI: 2.56-4.99; p < 0.001). The area under the receiver operating characteristic (ROC) curve of the model in predicting successful weaning was 0.79 (95% confidence interval (CI): 0.75-0.83).
the SNOW score could be considered as a helpful tool for predicting successful weaning from NIPPV in ED patients with ARF. A high predictive score, particularly one that exceeds 14.5, strongly suggests a high likelihood of successful weaning from NIPPV.
无创正压通气(NIPPV)被认为是急诊科(ED)治疗急性呼吸衰竭(ARF)患者的一种有效方法。本研究旨在开发一种评分系统,用于预测ARF患者NIPPV撤机成功的可能性。
在这项回顾性队列研究中,对2020年1月至2022年3月期间在泰国拉玛蒂博迪医院急诊科接受NIPPV治疗的ARF患者进行了评估。记录与NIPPV撤机相关的因素,并在NIPPV撤机成功和未成功的病例之间进行比较。采用多变量逻辑回归分析来建立急诊科NIPPV撤机的预测模型。
共有494例符合条件的患者接受了NIPPV治疗,其中203例(41.1%)在研究期间成功撤机。基于多变量分析,设计了成功NIPPV撤机(SNOW)评分,包含撤机前的六个因素:呼吸频率、心率≤100次/分钟、收缩压≥100 mmHg、动脉血pH≥7.35、动脉血二氧化碳分压和动脉血乳酸。评分分为三组:低、中、高。得分>14.5分提示NIPPV撤机成功的可能性高,阳性似然比为3.58(95%CI:2.56 - 4.99;p < 0.001)。该模型预测成功撤机的受试者工作特征(ROC)曲线下面积为0.79(95%置信区间(CI):0.75 - 0.83)。
SNOW评分可被视为预测急诊科ARF患者NIPPV撤机成功的有用工具。预测评分高,尤其是超过14.5分,强烈提示NIPPV撤机成功的可能性大。