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首页> 外文期刊>BMC Anesthesiology >Predictors of survival in critically ill patients with acute respiratory distress syndrome (ARDS): an observational study
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Predictors of survival in critically ill patients with acute respiratory distress syndrome (ARDS): an observational study

机译:危重病患者急性呼吸窘迫综合征(ARDS)的生存预测因素:一项观察性研究

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Background Currently there is no ARDS definition or classification system that allows optimal prediction of mortality in ARDS patients. This study aimed to examine the predictive values of the AECC and Berlin definitions, as well as clinical and respiratory parameters obtained at onset of ARDS and in the course of the first seven consecutive days. Methods The observational study was conducted at a 14-bed intensive care unit specialized on treatment of ARDS. Predictive validity of the AECC and Berlin definitions as well as PaO2/FiO2 and FiO2/PaO2*Pmean (oxygenation index) on mortality of ARDS patients was assessed and statistically compared. Results Four hundred forty two critically-ill patients admitted for ARDS were analysed. Multivariate Cox regression indicated that the oxygenation index was the most accurate parameter for mortality prediction. The third day after ARDS criteria were met at our hospital was found to represent the best compromise between earliness and accuracy of prognosis of mortality regarding the time of assessment. An oxygenation index of 15 or greater was associated with higher mortality, longer length of stay in ICU and hospital and longer duration of mechanical ventilation. In addition, non-survivors had a significantly longer length of stay and duration of mechanical ventilation in referring hospitals before admitted to the national reference centre than survivors. Conclusions The oxygenation index is suggested to be the most suitable parameter to predict mortality in ARDS, preferably assessed on day 3 after admission to a specialized centre. Patients might benefit when transferred to specialized ICU centres as soon as possible for further treatment.
机译:背景技术目前,没有ARDS定义或分类系统可以对ARDS患者的死亡率进行最佳预测。这项研究旨在检查AECC和Berlin定义的预测值,以及在ARDS发作时以及连续7天中获得的临床和呼吸参数。方法观察性研究在专门治疗ARDS的14张病床的重症监护室进行。 AECC和Berlin定义以及P a O 2 / F i O 2 和F的预测有效性 i O 2 / P a O 2 * P 平均值(氧化指数)对ARDS患者的死亡率进行评估并进行统计学比较。结果分析了442例重症ARDS患者。多元Cox回归表明氧合指数是死亡率预测的最准确参数。在我院达到ARDS标准后的第三天,就评估时间而言,这代表了尽早与死亡率预后准确性之间的最佳折中。氧合作用指数为15或更高与更高的死亡率,更长的ICU和医院住院时间以及更长的机械通气时间相关。此外,非幸存者的住院时间和机械通气时间要比幸存者长得多,而转诊医院在进入国家参考中心之前的机械通气时间要长于幸存者。结论氧合指数被认为是预测ARDS死亡率的最合适参数,最好在进入专门中心后的第3天进行评估。如果尽快将患者转移到专门的ICU中心接受进一步治疗,可能会受益。

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