Unknown

Dataset Information

0

Anzhen Risk Evaluation System for Acute Aortic Syndrome (AZSCORE-AAS): protocol for a multicentre prospective cohort study in northern China.


ABSTRACT:

Introduction

Acute aortic syndrome (AAS) is a group of acute and critical conditions, including acute aortic dissection (AAD), acute intramural haematoma and penetrating aortic ulcer. High mortality and morbidity rates result in a poor patient prognosis. Prompt diagnoses and timely interventions are paramount for saving patients' lives. In recent years, risk models for AAD have been established worldwide; however, a risk evaluation system for AAS is still lacking in China. Therefore, this study aims to develop an early warning and risk scoring system in combination with the novel potential biomarker soluble ST2 (sST2) for AAS.

Methods and analysis

This multicentre, prospective, observational study will recruit patients diagnosed with AAS at three tertiary referral centres from 1 January 2020 to 31 December 2023. We will analyse the discrepancies in sST2 levels in patients with different AAS types and explore the accuracy of sST2 in distinguishing between them. We will also incorporate potential risk factors and sST2 into a logistic regression model to establish a logistic risk scoring system for predicting postoperative death and prolonged intensive care unit stay in patients with AAS.

Ethics and dissemination

This study was registered on the Chinese Clinical Trial Registry website (http://www. chictr. org. cn/). Ethical approval was obtained from the human research ethics committees of Beijing Anzhen Hospital (KS2019016). The ethics review board of each participating hospital agreed to participate. The final risk prediction model will be published in an appropriate journal and disseminated as a mobile application for clinical use. Approval and anonymised data will be shared.

Trial registration number

ChiCTR1900027763.

SUBMITTER: Wang HZ 

PROVIDER: S-EPMC10255320 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Anzhen Risk Evaluation System for Acute Aortic Syndrome (AZSCORE-AAS): protocol for a multicentre prospective cohort study in northern China.

Wang Han-Zhang HZ   Chen Su-Wei SW   Zhong Yong-Liang YL   Ge Yi-Peng YP   Qiao Zhi-Yu ZY   Li Cheng-Nan CN   Guo Ru-Tao RT   Zhang Zhe Z   Qiao Chen-Hui CH   Zhu Jun-Ming JM  

BMJ open 20230607 6


<h4>Introduction</h4>Acute aortic syndrome (AAS) is a group of acute and critical conditions, including acute aortic dissection (AAD), acute intramural haematoma and penetrating aortic ulcer. High mortality and morbidity rates result in a poor patient prognosis. Prompt diagnoses and timely interventions are paramount for saving patients' lives. In recent years, risk models for AAD have been established worldwide; however, a risk evaluation system for AAS is still lacking in China. Therefore, thi  ...[more]

Similar Datasets

| S-EPMC4985458 | biostudies-other
| S-EPMC10836658 | biostudies-literature
| S-EPMC7903081 | biostudies-literature
| S-EPMC5734415 | biostudies-literature
| S-EPMC5786136 | biostudies-literature
| S-EPMC6303568 | biostudies-literature
| S-EPMC10748875 | biostudies-literature
| S-EPMC7722390 | biostudies-literature
| S-EPMC7661367 | biostudies-literature
| S-EPMC9660665 | biostudies-literature