Kobayashi Naoya, Nakagawa Atsuhiro, Kudo Daisuke, Ishigaki Tsukasa, Ishizuka Haruya, Saito Kohji, Ejima Yutaka, Wagatsuma Toshihiro, Toyama Hiroaki, Kawaguchi Tomohiro, Niizuma Kuniyasu, Ando Kokichi, Kurotaki Kenji, Kumagai Michio, Kushimoto Shigeki, Tominaga Teiji, Yamauchi Masanori
Departments of Anesthesiology and Perioperative Medicine.
Neurosurgery.
Blood Press Monit. 2019 Oct;24(5):225-233. doi: 10.1097/MBP.0000000000000398.
To identify the outcome of patients with sepsis using high-frequency blood pressure data.
This retrospective observational study was conducted at a university hospital ICU (derivation study) and at two urban hospitals (validation study) with data from adult sepsis patients who visited the centers during the same period. The area under the curve (AUC) of blood pressure falling below threshold was calculated. The predictive 90-day mortality (primary endpoint) area under threshold (AUT) and critical blood pressure were calculated as the maximum area under the curve of the receiver operating characteristic curve (AUCROC) and the threshold minus average AUT (derivation study), respectively. For the validation study, the derived 90-day mortality AUCROC (using critical blood pressure) was compared with Sequential Organ Failure Assessment (SOFA), Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, and APACHE III.
Derivation cohort (N = 137): the drop area from the mean blood pressure of 70 mmHg at 24-48 hours most accurately predicted 90-day mortality [critical blood pressure, 67.8 mmHg; AUCROC, 0.763; 95% confidence interval (CI), 0.653-0.890]. Validation cohort (N = 141): the 90-day mortality AUCROC (0.776) compared with the AUCROC for SOFA (0.711), SAPSII (0.771), APACHE II (0.745), and APACHE III (0.710) was not significantly different from the critical blood pressure 67.8 mmHg (P = 0.420).
High-frequency arterial blood pressure data of the period and extent of blood pressure depression can be useful in predicting the clinical outcomes of patients with sepsis.
利用高频血压数据确定脓毒症患者的预后情况。
这项回顾性观察性研究在一家大学医院重症监护病房(推导研究)和两家城市医院(验证研究)进行,数据来自同期就诊于这些中心的成年脓毒症患者。计算血压降至阈值以下的曲线下面积(AUC)。预测90天死亡率(主要终点)的阈值下面积(AUT)和临界血压分别计算为受试者工作特征曲线(AUCROC)的最大曲线下面积和阈值减去平均AUT(推导研究)。在验证研究中,将推导得出的90天死亡率AUCROC(使用临界血压)与序贯器官衰竭评估(SOFA)、简化急性生理学评分(SAPS)II、急性生理学与慢性健康评估(APACHE)II和APACHE III进行比较。
推导队列(N = 137):24至48小时平均血压从70 mmHg下降的面积最准确地预测了90天死亡率[临界血压,67.8 mmHg;AUCROC,0.763;95%置信区间(CI),0.653 - 0.890]。验证队列(N = 141):90天死亡率AUCROC(0.776)与SOFA(0.7,11)、SAPSII(0.771)、APACHE II(0.745)和APACHE III(0.710)的AUCROC相比,与临界血压67.8 mmHg无显著差异(P = 0.420)。
血压降低的时间段和程度的高频动脉血压数据可用于预测脓毒症患者的临床预后。