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谭金泽,张 雷,庞文君,梁桂英,叶金群,陈尚杰.蒙特利尔认知量表评分在ICU机械通气患者脱机中的预测价值[J].中国康复医学杂志,2024,(6):804~812
蒙特利尔认知量表评分在ICU机械通气患者脱机中的预测价值    点此下载全文
谭金泽  张 雷  庞文君  梁桂英  叶金群  陈尚杰
南方医科大学第二临床医学院,广州市,510080
基金项目:国家自然科学基金(8217090028);广东省医学科学技术研究项目(2022507)
DOI:10.3969/j.issn.1001-1242.2024.06.007
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摘要:
      摘要 目的:探讨MoCA评分在ICU机械通气患者脱机中的预测价值。 方法:选取2022年10月—2023年8月期间收治于广东省人民医院重症监护室的符合纳入标准与排除标准的机械通气患者127例,其中男性85例,女性42例。所有患者在入科后24h内均评估一般资料以及MoCA评分、每分通气量(MV)、Apache-II评分、潮气量(VT)、浅快呼吸指数(RSBI)、氧合指数(OI)、血气分析等临床资料,评估患者自主呼吸试验前的机械通气时长,最后评估患者的脱机结局。根据患者的脱机结局分成两组并进行病例对照分析,其中脱机成功组92例,脱机失败组35例,采用单因素分析筛查与脱机失败相关的因素;采用二元logistic多因素回归分析判断影响机械通气患者脱机过程的危险因素与保护因素,计算优势比(OR)、95%置信区间(95%CI)以及准确度(Acc),绘制MoCA评分的受试者工作曲线(ROC曲线),计算曲线下面积(AUC)、约尔登指数(YI)、截断值(Cut-off),以分析MoCA评分在机械通气患者脱机中的预测价值。 结果:一般资料比较结果显示,两组患者除BMI外差异均无显著性意义(P>0.05);两组患者临床资料比较结果显示,两组患者的Apache-II、MoCA评分、PaO2、VT、MV、机械通气时长差异有显著性意义(P<0.05);多因素分析结果显示,MoCA评分高(OR=0.824,95%CI:0.720—0.944,P=0.005)是影响脱机结局的独立保护因素。每分通气量高(OR=0.600,95%CI:0.416—0.865,P=0.006)是影响脱机结局的独立保护因素。ROC曲线分析结果显示:MoCA评分的ROC曲线下面积(AUC)为0.746,95%CI为0.661—0.819,P=0.001。最佳截断值为20分,对应的敏感度(Se)和特异度(Sp)分别是77.14%、68.48%,预测准确度(Acc)为74.02%。 结论:MoCA评分高是影响脱机结局的独立保护因素,当患者MoCA评分≤20分时,患者发生脱机失败的风险增大。MoCA评分高的患者,其脱机成功率高,MoCA评分每提高1分,脱机成功率增加17.6%。
关键词:重症康复  脱机  机械通气  蒙特利尔认知量表评分  预测价值
The predictive value of Montreal Cognitive Assessment score for weaning outcomes in patients with mechanical ventilation in intensive care unit    Download Fulltext
The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510080
Fund Project:
Abstract:
      Abstract Objective: To explore the predictive value of Montreal Cognitive Assessment (MoCA) score for weaning outcomes in patients with mechanically ventilation in ICU. Method: The study enrolled 127 mechanically ventilated patients admitted to the intensive care unit of Guangdong provincial people's hospital from October 2022 to August 2023, including 85 males and 42 females. All patients were evaluated within 24 hours of ICU admission for general information and clinical data such as MoCA score, ventilation volume (MV), Apache II score, tidal volume (VT), shallow rapid breathing index (RSBI), oxygenation index (OI), blood gas analysis, and the duration of mechanical ventilation before a spontaneous breathing trial. Outcomes of weaning were then evaluated, dividing patients into a successful weaning group (92 patients) and a weaning failure group (35 patients). Univariate analysis identified factors related to weaning failure; multivariable binary logistic regression determined risk and protective factors affecting the weaning outcome, calculating odds ratio (OR), 95% confidence interval (95% CI) and accuracy (Acc). The receiver operating characteristic (ROC) curve of MoCA score was drawn to calculate the area under the curve (AUC), Yolden index (YI), cutoff value (Cut off), sensitivity (Se), specificity (Sp)to analyze the predictive value of the MoCA score in weaning mechanically ventilated patients. Result: There were no significant differences between the two groups in general data except for BMI index(P>0.05). Significant differences were observed in Apache-II scores, MoCA scores, PaO2, VT, MV, and the duration of mechanical ventilation(P<0.05). Binary logistic multivariate regression analysis showed that a higher MoCA score (OR=0.824, 95% CI: 0.720—0.944, P=0.005) was an independent protective factor for weaning outcomes. Higher minute ventilation(OR=0.600, 95% CI: 0.416—0.865, P=0.006) was also an independent protective factor for weaning outcomes. AUC for MoCA score was 0.746(95%CI: 0.661—0.819, P=0.001) with an optimal cutoff value of 20 points, corresponding sensitivity (Se)of 77.14%, specificity (Sp)of 68.48% and prediction accuracy (Acc) of 74.02%. Conclusion: A higher MoCA score is an independent protective factor influencing weaning outcomes. A MoCA score ≤ 20 increases the risk of weaning failure. Higher MoCA scores correlate with higher success rate of weaning; each one-point increase in MoCA score increases the success rate of 17.6%.
Keywords:ICU rehabilitation  weaning  mechanical ventilation  MoCA score  predictive value
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