摘要
目的:建立呼吸停止评分预测表,以便及时的量化呼吸停止的危险因素,从而尽早发现和干预引起呼吸停止的可控因素,降低呼吸停止发生率。方法:对我院急诊科及ICU 2012年1月-2014年12月收治的呼吸衰竭病人227例进行回顾性分析。以是否呼吸停止为因变量,以是否呼吸频率异常、是否呼吸节律异常、呼吸动度是否异常、是否明显紫绀或血氧饱和度低、伴有严重原发病等参数量化后的数据为可变量,计算各分值对应的发生呼吸停止的风险系数,经回归筛选得到最主要的可控因素及相应系数(β值)并建立Logistic回归方程。结果:病人呼吸频率异常、呼吸节律异常、伴有明显紫绀和血氧饱和度降低可作为预测呼吸停止的相关性因素。结论:以回归分析计算各相关因素发生呼吸停止的可能性并制定呼吸停止预测量表,能够更准确、迅速、及时的对危重病人是否发生呼吸停止做出方便迅捷的评估。
Objective：To establish a prognostic scale to predict the respiratory arrest as early as possible.As a result mortality can be reduced by intervening the risk factors based on the scale.Methods：A retrospective analysis was conducted with a total of 227 patients including the following items：respiratory frequency;respiratory rate;breathing movement;with or without cyanosis;with or without primary disease.Then the multiple regression analysis was studied with the items as the variables after each of them was assigned a number.Results：Items such as respiratory frequency,respiratory rates and cyanosis were found to be significantly related to the respiratory arrest.Conclusion：The establishment of the prognostic scale based on the risk factors analysis can help doctors assess and predict the respiratory arrest more easily and accurately.
出处
《医学理论与实践》
2015年第10期1266-1268,共3页
The Journal of Medical Theory and Practice
基金
莱芜市科技局专项科研立项项目(20130307)
关键词
呼吸衰竭
呼吸停止
危险因素
多因素回归分析
Respiratory failure, Respiratory arrest, Risk factors, Multiple regression analysis
