Introduction
Acute type A aortic dissection (ATAAD) is a cardiovascular disease that
requires urgent care. Emergency surgery is currently the primary
treatment option for patients with ATAAD. Despite continual improvements
in surgical techniques and perioperative management strategies,
postoperative complications including paraplegia, stroke, acute kidney
injury, low cardiac output syndrome, and acute lung injury (ALI) are
common.1 In particular, the incidence of
postoperative ALI after ATAAD is 30–50%.2Perioperative ALI significantly increases postoperative mortality,
mechanical ventilation duration, intensive care unit (ICU) stay
duration, and hospitalization cost in patients who undergo ATAAD repair,
and outcomes are poor.3 Currently, variables included
in the commonly used ALI score scales including LIPS and Murray are
insufficient for predicting ALI occurrence after ATAAD. In addition, due
to the lack of effective treatments for severe ALI, early identification
of patients at high risk of developing ALI after ATAAD is highly
important because it facilitates early intervention, and this prevents
the progression to severe ALI. This study aimed to analyze risk factors
of severe ALI after ATAAD and establish a prediction model that
facilitates the identification of high-risk patients in order to allow
physicians to make timely medical decisions.