Literature DB >> 31469692

Arterial blood pressure correlates with 90-day mortality in sepsis patients: a retrospective multicenter derivation and validation study using high-frequency continuous data.

Naoya Kobayashi1, Atsuhiro Nakagawa2, Daisuke Kudo3, Tsukasa Ishigaki4, Haruya Ishizuka4, Kohji Saito5, Yutaka Ejima6, Toshihiro Wagatsuma1, Hiroaki Toyama1, Tomohiro Kawaguchi2, Kuniyasu Niizuma2, Kokichi Ando7, Kenji Kurotaki8, Michio Kumagai8, Shigeki Kushimoto3, Teiji Tominaga2, Masanori Yamauchi1.   

Abstract

OBJECTIVE: To identify the outcome of patients with sepsis using high-frequency blood pressure data.
MATERIALS AND METHODS: 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.
RESULTS: 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).
CONCLUSION: 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.

Entities:  

Year:  2019        PMID: 31469692     DOI: 10.1097/MBP.0000000000000398

Source DB:  PubMed          Journal:  Blood Press Monit        ISSN: 1359-5237            Impact factor:   1.444


  3 in total

1.  Investigation of Risk Factors for Postoperative Delirium after Transcatheter Aortic Valve Implantation: A Retrospective Study.

Authors:  Yuko Ogata; Naoya Kobayashi; Masanori Yamauchi
Journal:  J Clin Med       Date:  2022-06-09       Impact factor: 4.964

2.  Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study.

Authors:  Naoya Kobayashi; Takuya Shiga; Saori Ikumi; Kazuki Watanabe; Hitoshi Murakami; Masanori Yamauchi
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

3.  Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest).

Authors:  Luming Zhang; Tao Huang; Fengshuo Xu; Shaojin Li; Shuai Zheng; Jun Lyu; Haiyan Yin
Journal:  BMC Emerg Med       Date:  2022-02-11
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.