Department of Emergency Medicine, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang City, Lianyungang, 222000, Jiangsu, China.
Department of Critical Care Medicine, The Second People's Hospital of Lianyungang City, Lianyungang, 222000, Jiangsu, China.
Sci Rep. 2022 Nov 16;12(1):19634. doi: 10.1038/s41598-022-21609-2.
Several single-center studies have evaluated the predictive performance of mechanical power (MP) on weaning outcomes in prolonged invasive mechanical ventilation (IMV) patients. The relationship between MP and weaning outcomes in all IMV patients has rarely been studied. A retrospective study was conducted on MIMIC-IV patients with IMV for more than 24 h to investigate the correlation between MP and weaning outcome using logistic regression model and subgroup analysis. The discriminative ability of MP, MP normalized to dynamic lung compliance (C-MP) and MP normalized to predicted body weight (PBW-MP) on weaning outcome were evaluated by analyzing the area under the receiver-operating characteristic (AUROC). Following adjustment for confounding factors, compared with the reference group, the Odds Ratio of weaning failure in the maximum MP, C-MP, and PBW-MP groups increased to 3.33 [95%CI (2.04-4.53), P < 0.001], 3.58 [95%CI (2.27-5.56), P < 0.001] and 5.15 [95%CI (3.58-7.41), P < 0.001], respectively. The discriminative abilities of C-MP (AUROC 0.760 [95%CI 0.745-0.776]) and PBW-MP (AUROC 0.761 [95%CI 0.744-0.779]) were higher than MP (AUROC 0.745 [95%CI 0.730-0.761]) (P < 0.05). MP is associated with weaning outcomes in IMV patients and is an independent predictor of the risk of weaning failure. C-MP and PBW-MP showed higher ability in weaning failure prediction than MP.
几项单中心研究评估了机械功率(MP)对延长有创机械通气(IMV)患者脱机结局的预测性能。很少有研究探讨所有 IMV 患者中 MP 与脱机结局的关系。对 MIMIC-IV 中 IMV 超过 24 小时的患者进行了回顾性研究,使用逻辑回归模型和亚组分析来研究 MP 与脱机结局的相关性。通过分析接受者操作特征(AUROC)下的面积来评估 MP、MP 标准化为动态肺顺应性(C-MP)和 MP 标准化为预测体重(PBW-MP)对脱机结局的区分能力。在调整混杂因素后,与参考组相比,最大 MP、C-MP 和 PBW-MP 组的脱机失败的优势比增加到 3.33[95%CI(2.04-4.53)]、3.58[95%CI(2.27-5.56)]和 5.15[95%CI(3.58-7.41)],均<0.001。C-MP(AUROC 0.760[95%CI 0.745-0.776])和 PBW-MP(AUROC 0.761[95%CI 0.744-0.779])的区分能力均高于 MP(AUROC 0.745[95%CI 0.730-0.761])(均<0.05)。MP 与 IMV 患者的脱机结局相关,是脱机失败风险的独立预测因子。C-MP 和 PBW-MP 在预测脱机失败方面具有更高的能力。