张斌、吕俊杰、李玉梅
邻水县中医院 四川广安 638500
【摘要】目的:探讨早期预警评分在ICU护理中的应用价值。方法:2020年1月至2020年6月住院的83例患者随机分为观察组(43例)和对照组(40例)。对照组接受常规护理,观察组在对照组的基础上进行预警评分。比较两组ICU在入院时的并发症以及ICU住院和住院时间。结果: ICU住院期间并发症总体发生率在观察组明显著低于对照(P<0.05);观察组患者ICU停留时间以及住院时间均明显较低(P<0.05)。结论:预警评分在ICU患者临床护理中的应用有助于降低并发症的发生率,缩短患者的临床治疗时间。
关键词:早期预警评分;重症监护室;护理;应用
重症监护病房(Intensive Care Unit, ICU)是收治临床危重病患者的特殊的医疗场所,患者经抢救后病情稍稳,但是仍然存在较多危险因素,需要严格监护[1]。 ICU患者具有病情重、疾病变化快的特点,因此每一个护理举措均会对患者的生命治疗以及治疗预后造成直接的影响。预警评分作为一种生理评分方法,方法简单,研究表明,采取预警评分和护理可以有效提高患者病情的诊断准确性。排除患者的潜在危险因素,对ICU患者的诊断,治疗和护理具有重要的应用价值。 本研究探讨了ICU护理中预警评分的价值。
1 资料与方法
1.1 临床资料
选择2020年1月~2020年6月我院ICU收治患者83例作为研究对象,其中男性患者49例、女性患者34例,年龄24~61岁,平均年龄(38.53±6.39)岁。。所有患者均接受重症患者ICU治疗,年龄≥18岁,ICU停留时间≥24h。根据随机数表法,将患者随机分为观察组(43例)和对照组(40例)。经比较,两组患者临床资料差异均无统计学意义(P>0.05)。
1.2 方法
对照组采取ICU常规护理程序,观察组在对照组的基础上使用预警评分护理干预。预警评分用于评估患者的病情,包括患者的呼吸频率,体温,意识,收缩压和心率。 每个分数为0到3分。患者得分为0至3分,提示患者危险性较小,可以采取蓝色标记,并给予相应的2级护理措施。 每1小时评估患者的病情,并加强患者及其家人的健康指导,以帮助患者完成各种相关检查。 患者得分为4至7分,表明患者的病情更危险。并给予心电图、血氧饱和度、吸氧等急救护理措施,及时建立患者静脉通道, 向医生及时反馈患者病情,由指定护理人员协助患者完成检查,并随时做好急救准备工作。患者评分≥8分,表明患者非常危险,应给予高度优先,取红色标记,给予患者特殊护理。 每隔5~10分钟对患者病情进行一次评估,护理人员在完成指定护理内容的同时,应做好急救相关物品以及急救仪器的准备工作, 随时做好抢救配合,由高年资的护理人员负责患者的检查工作,并做好抢救记录。
1.3 观察指标
①1比较ICU住院期间两组患者的并发症;②比较两组之间的ICU停留时间和住院时间。
1.4 统计学分析
采用统计学软件SPSS 22.0,计量资料比较采用t检验,计数资料比较采用检验,以P<0.05为差异具有统计学意义。
2 结果
2.1 两组患者ICU住院期间并发症发生率比较
观察组肺部感染2例,呼吸衰竭1例,ARDS0例,消化道出血1例,压疮3例,MODS1例,并发症总发生8例总发生率18.60%,对照组肺部感染4例,呼吸衰竭2例,ARDS 1例,消化道出血3例,压疮5例,MODS 2例,并发症总发生17例总发生率42.50%,18.60%<42.50%。观察组患者ICU住院期间并发症总体发生率显著低于对照(P<0.05),差异具有统计学意义,见表1。
表1两组患者ICU住院期间并发症发生率比较
![](data:image/png;base64,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)
2.2 两组患者ICU入住时间及住院时间比较
观察组ICU入住时间9.23±2.18d,住院时间17.59±4.21d;对照组ICU入住时间11.05±3.53d,住院时间20.48±5.16d观察组患者ICU入住时间以及住院时间均显著低于(P<0.05),差异具有统计学意义,见表2。
表2两组患者ICU入住时间及住院时间比较
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CvX9DWNxg6XAZtfYO+fkFb39zot9wBAADgExChg5mhrXfQ1y9o6xtS7nAZtPUN+voFbX2DocNl0NY36OsXtPUNY+gAAAAPgwgdzAxtvYO+fkFb37w15V4u689YZ5111llnnfXXrp+FCB3MDG29g75+QVvfvM3QAQAA4J4QoYOZoa130NcvaOsbUu5wGbT1Dfr6BW19g6HDZdDWN+jrF7T1DWPoAAAAD+OzEXoUG+a/WJ9MA3/7/C7Qy/cN+voFbX3zwZR7Mg2DDUOxBLXUOT6pmmqwEIINQ7AwHSuqFnaOg/dDo+Cbl+kb5bCeN/dJamFqI4JS018J2vrmw2PoyTQEyzpG6YkaTaboPCU1mTsBwQKR+tfB0H1zWd/ccFeNdDTJDXmUfj1v7JNUqeNvAm198+Ex9NrQ67R6QZS5VxelNPBkKkTnAN+nyLh16nDTAA73iVMHvmgn4MOg7RP4UIQeTUTmCD3K+TQ9fAYidN8c6TvWyf1GOWmwxQuiybDNrO3uk9QCDf/LQVvffCHlvm/OY0omYug3BkP3zZ6+S33cH/r6c6M/Xoxx1heDtr756hh6n9LQSbnfjV6hSRrmjlcrUwe/wblGIS5zWxpiJw2HadnDfZKa0Oi/FLT1zXfH0LsQoQP8DK2JU2l5G6Vu3AsO9kkqpGW/Ddq65YWvrR2ZOhH6nSHl7ptX6TtnbDavLS11erNPc1Y1vAq09c1Nf/p1mhg3rKLzYiGl+z0wdN+gr1/Q1jc3NXS4M2jrG/T1C9r6ht9yBwAAeBhE6GBmaOsd9PUL2vqGlDtcBm19g75+QVvfYOhwGbT1Dfr6BW19wxg6AADAwyBCBzNDW++gr1/Q1jek3OEyaOsb9PUL2vrmrYbe+1EYFhYWFhYWltcujKEDAAA8DAwdAADAARg6AACAA/4PINJW6LBwB94AAAAASUVORK5CYII=)
3 讨论
预警评分是一种评估系统,用于识别潜在重症患者的状况,并有助于尽早了解患者的病情。 将患者的病情通过数字量化的形式直接展现出现,从而采取高效合理的干预手段,改善患者预后[2]。 学者们认为,在事故发生前有一个“预警信号”。 主要包括意识改变、呼吸不畅、血压异常、心率失常以及尿量的改变等[3]。入住ICU的患者病情严重,预警评分系统根据评分确定患者的监测水平。合理分配护理人员可以帮助针对患者,有针对性,个性化和符合患者的护理干预措施。 可预防高危患者监护不充分或低危患者监护滥用现象。综上所述,预警评分在ICU患者临床护理中的应用有助于降低并发症的发生率,缩短患者的临床治疗时间,可作为评估ICU患者风险状况的重要指标。
参考文献:
[1] 麻春英, 卫婷婷, 李萍. 早期预警评分在临床护理工作中的应用现状[J]. 护理学报, 2014, 21(24):23-25.
[2] 莫燕兴. 早期预警评分在ICU护理工作中的应用分析[J]. 黑龙江医药科学, 2015, 38(5):61-62.
[3] 韩芸, 項丽敏, 卢生芳,等. 改良早期预警评分在急诊护理中的作用[J]. 医药前沿, 2017, 7(8):321-322.