Objective To study the influence of entropy index method based monitoring management on sedative drug dosage for patients with severe mechanical ventilation. Methods Totally,61 cases patients with severe mechanical ventilation from intensive care unit (ICU) were selected,the patients were divided into treatment group (n=31) and control group (n=30) by using the random number table method. All the patients were sedated with dexmedetomidine during mechanical ventilation. The control group were given Ramsay sedation score system based monitoring management,and the treatment group were given entropy index method based monitoring management. Results The sedative drug dosage of treatment group and control group were (13.25±3.21),(43.15±5.61) μg·h-1,the withdrawal awakening time were (3.26±1.54),(9.06±1.87) min,the mechanical ventilation time were (4.56±1.63),(6.59±2.08) d (all P<0.01). Heart rate (HR) and mean arterial pressure (MAP) level between the two group were not statistically significantly different (P>0.05). The two groups did not have unplanned extubation events and adverse reactions such as drug allergy. Conclusion Entropy index method based monitoring management can reduce sedative drug dosage for patients with severe mechanical ventilation,promote body recovery. It is effective and safe.
Key words:
Sedative drugs dosage
;
Entropy index
;
Monitoring management
;
Mechanical ventilation
;
severe
重症机械通气患者治疗期间配合采用镇静处理,以调节呼吸状况,提高耐受性与降低不良刺激程度,降低应激性反应程度与促进血流动力学参数平稳[1]。但镇静处理是把“双刃剑”,镇静不足与镇静过度均可能严重影响患者身体健康[2]。因此,采用合适的对策加强重症机械通气患者的镇静监测管理是重症监护病房(intensive care unit,ICU)医护人员所面对的主要课题之一。作为常用的镇静监测管理手段,基于Ramsay 镇静评分系统的监测管理容易受主观因素与操作治疗因素的影响,从而局限其在监测管理麻醉镇静深度中的应用[3]。基于熵指数法的监测管理是由Datexohmeda公司研发的用于连续性监测管理麻醉镇静深度的主要方法,包括状态熵(state entropy,SE) 与反应熵(response entropy,RE) 两个参数[4]。本研究通过比较基于Ramsay 镇静评分系统与基于熵指数法的监测管理对重症机械通气患者镇静药物用量的影响差异,以指导最佳镇静监测管理方法的选择,现报道如下。
1 资料与方法
1.1 临床资料
选取本院2014年6月—2016年10月ICU重症机械通气患者61例,其中男35例,占57.38%,女26例,占42.62%;年龄22~78岁,平均(58.21±8.72)岁,体质量44~84 kg,平均(64.26±7.51)kg,急性生理学及慢性健康状况评分系统(acute physiology and chronic health evaluation scoring system,APACHEⅡ)评分[5]12~30分,平均(20.12±3.65)分。采用随机数字表将患者分为治疗组(n=31)与对照组(n=30),两组患者性别、年龄、体质量、APACHEⅡ评分、受教育程度、医疗付费方式与婚姻状况等一般资料比较差异无统计学意义(P>0.05),见表1,具有可比性。本研究经我院医学伦理委员会批准。全部患者家属自愿参加本研究试验并签署知情同意书与伦理志愿书。
1.2 纳入、排除与评分标准
1.2.1 纳入标准 全部患者均具有ICU入住适应证,美国麻醉医师协会(American Society of Anesthesiologists,ASA)[6]评级为Ⅰ或Ⅱ级。
1.2.2 排除标准 不可耐受全身麻醉,合并严重神经系统障碍,心脑血管疾病,听觉功能障碍,气道高反应性,预估气管插管困难,格拉斯哥昏迷量表评分(Glasgow coma scale,GCS)[7]<8分。具有镇静药物应用史、药物依赖史与精神疾病诊断病史。
AARVOLD AB,RYAN HM,MAGEE LA,et al.Multiple organ dysfunction score is superior to the obstetric-specific sepsis in obstetrics score in predicting mortality in septic obstetric patients[J].,2017,45(1):1.
In response to a need for better sepsis diagnostics, several new gene expression classifiers have been recently published, including the 11-gene “Sepsis MetaScore,” the “FAIM3-to-PLAC8” ratio, and the Septicyte Lab. We performed a systematic search for publicly available gene expression data in sepsis and tested each gene expression classifier in all included datasets. We also created a public repository of sepsis gene expression data to encourage their future reuse.We searched National Institutes of Health Gene Expression Omnibus and EBI ArrayExpress for human gene expression microarray datasets. We also included the Glue Grant trauma gene expression cohorts.We selected clinical, time-matched, whole blood studies of sepsis and acute infections as compared to healthy and/or noninfectious inflammation patients. We identified 39 datasets composed of 3,241 samples from 2,604 patients.All data were renormalized from raw data, when available, using consistent methods.Mean validation areas under the receiver operating characteristic curve for discriminating septic patients from patients with noninfectious inflammation for the Sepsis MetaScore, the FAIM3-to-PLAC8 ratio, and the Septicyte Lab were 0.82 (range, 0.73–0.89), 0.78 (range, 0.49–0.96), and 0.73 (range, 0.44–0.90), respectively. Paired-sample t tests of validation datasets showed no significant differences in area under the receiver operating characteristic curves. Mean validation area under the receiver operating characteristic curves for discriminating infected patients from healthy controls for the Sepsis MetaScore, FAIM3-to-PLAC8 ratio, and Septicyte Lab were 0.97 (range, 0.85–1.0), 0.94 (range, 0.65–1.0), and 0.71 (range, 0.24–1.0), respectively. There were few significant differences in any diagnostics due to pathogen type.The three diagnostics do not show significant differences in overall ability to distinguish noninfectious systemic inflammatory response syndrome from sepsis, though the performance in some datasets was low (area under the receiver operating characteristic curve, < 0.7) for the FAIM3-to-PLAC8 ratio and Septicyte Lab. The Septicyte Lab also demonstrated significantly worse performance in discriminating infections as compared to healthy controls. Overall, public gene expression data are a useful tool for benchmarking gene expression diagnostics.
LIMS,CARABINI LM,KIM RB,et al.Evaluation of Ame-rican Society of Anesthesiologists classification as 30-day morbidity predictor after single-level elective anterior cervical discectomy and fusion[J].,2017,17(3):313-320.
CHOUR,TOTTEN AM,CARNEYN,et al.Predictive utili-ty of the total Glasgow coma scale versus the motor component of the Glasgow coma scale for identification of patients with serious traumatic injuries[J].,2017,25(1):56-59.
目的:探讨超声监测胃排空功能指导重症机械通气患者肠内营养的临床应用价值。方法对2014年5月至2015年11月间至我科行机械通气>24 h且拟行肠内营养患者进行研究。入选的76例重症机械通气患者随机分为2组:传统回抽胃液组(对照组,38例)每4 h使用回抽胃液法评估胃残余量进而调整肠内营养方案;超声监测组(38例)每4 h使用超声测定胃排空或胃动力指数的方法指导肠内营养方案的制定。记录患者肠内营养达标时间、呼吸机相关性肺炎发生率、反流及腹泻次数、前白蛋白、脱机时间、ICU住院时间等指标。比较两组患者的肠内营养治疗效果。结果超声检测组肠内营养达标时间较传统对照组明显缩短,差异有统计学意义[(36.4±6.2) vs (45.1±7.8)h, P<0.05]。超声测定组与传统对照组VAP发生率分别为13.2%(5/38)和36.8%(14/38)、肠内营养相关并发症发生率分别为28.9%(11/38)和55.3%(21/38),组间比较,差异有统计学意义( P<0.05)。此外,两组脱机时间[(3.6±1.1) vs (5.8±2.0) d ]、ICU 住院时间[(9.2±2.6) vs (12.3±3.7)d]比较,差异有统计学意义(P<0.05)。结论超声测定胃排空功能可更科学地指导重症机械通气患者肠内营养方案的制定,提高肠内营养疗效,减少肠内营养相关并发症,缩短机械通气及ICU住院时间。
GONCALVESH,HENRIQUESCOELHOT,ROCHA AP,et al.Comparison of different methods of heart rate entropy analysis during acute anoxia superimposed on a chronic rat model of pulmonary hypertension.[J].,2013,35(5):559-568.
LAY-EKUAKILLEA,VERGALLOP,GRIFFOG,et al.Entropy index in quantitative EEG measurement for diagnosis accuracy[J].,2014,63(6):1440-1450.
Electroencephalogram (EEG) remains the most immediate, simple, and rich source of information for understanding phenomena related to brain electrical activities. It is certainly a source of basic and interesting information to be extracted using specific and appropriate techniques. The most important aspect in processing EEG signals is to use less co-lateral assets and instrumentation in order to carried out a possible diagnosis; this is the approach of early diagnosis. Advanced estimate spectral analysis can reveal new information encompassed in EEG signals by means of specific parameters or indices. The research proposes a multidimensional approach with a combined use of decimated signal diagonalization (DSD) as basis from which it is possible to work by finding appropriate signal windows for revealing expected information and overcoming signal processing limitations encountered in quantitative EEG. Important information, about the state of the patient under observation, must be extracted from calculated DSD bispectrum. For this aim, it is useful to define an assessment index about the dynamic process associated with the analyzed signal. This information is measured by means of entropy, since the degree of order/disorder of the recorded EEG signal will be reflected in the obtained DSD bispectrum. The general advantage of multidimensional approach is to reveal eventual stealth frequencies n space and in time giving a topological vision to be correlated to physical areas which these frequencies emerge from. Long term and sleeping EEG recorded are analyzed, and the results obtained are of interest for an accurate diagnosis of the patient's clinical condition.
Multiple organ dysfunction score is superior to the obstetric-specific sepsis in obstetrics score in predicting mortality in septic obstetric patients
1
2017
... 选取本院2014年6月—2016年10月ICU重症机械通气患者61例,其中男35例,占57.38%,女26例,占42.62%;年龄22~78岁,平均(58.21±8.72)岁,体质量44~84 kg,平均(64.26±7.51)kg,急性生理学及慢性健康状况评分系统(acute physiology and chronic health evaluation scoring system,APACHEⅡ)评分[5]12~30分,平均(20.12±3.65)分.采用随机数字表将患者分为治疗组(n=31)与对照组(n=30),两组患者性别、年龄、体质量、APACHEⅡ评分、受教育程度、医疗付费方式与婚姻状况等一般资料比较差异无统计学意义(P>0.05),见表1,具有可比性.本研究经我院医学伦理委员会批准.全部患者家属自愿参加本研究试验并签署知情同意书与伦理志愿书. ...
Evaluation of Ame-rican Society of Anesthesiologists classification as 30-day morbidity predictor after single-level elective anterior cervical discectomy and fusion
1
2017
... 1.2.1 纳入标准 全部患者均具有ICU入住适应证,美国麻醉医师协会(American Society of Anesthesiologists,ASA)[6]评级为Ⅰ或Ⅱ级. ...
Predictive utili-ty of the total Glasgow coma scale versus the motor component of the Glasgow coma scale for identification of patients with serious traumatic injuries
1
2017
... 1.2.2 排除标准 不可耐受全身麻醉,合并严重神经系统障碍,心脑血管疾病,听觉功能障碍,气道高反应性,预估气管插管困难,格拉斯哥昏迷量表评分(Glasgow coma scale,GCS)[7]<8分.具有镇静药物应用史、药物依赖史与精神疾病诊断病史. ...