Perioperative organ injury is among the leading causes of morbidity and mortality of surgical
patients. Among different types of perioperative organ injury, acute kidney injury occurs …

Objective: To accurately calculate the risk for postoperative complications and death after
surgery in the preoperative period using machine-learning modeling of clinical data …

Objective Conventional clinical wisdom has often been nihilistic regarding the prevention
and management of acute kidney injury (AKI), despite its being a frequent and morbid …

AKI is a global concern with a high incidence among patients across acute care settings. AKI
is associated with significant clinical consequences and increased health care costs …

Background Practice patterns related to intraoperative fluid administration and vasopressor
use have potentially evolved over recent years. However, the extent of such changes and …

Background Enhanced recovery after surgery (ERAS) pathways have been shown to
considerably reduce complications, length of stay and costs after most of surgical …

Background Acute kidney injury (AKI) is a common complication after surgery that is
associated with increased morbidity and mortality. The majority of existing perioperative AKI …

Background Machine learning (ML) has been used to build high performance prediction
model. Patients with congestive heart failure (CHF) are vulnerable to acute kidney injury …

Purpose Acute kidney injury (AKI) is a deleterious complication after total knee arthroplasty
(TKA). The purposes of this study were to identify preoperative risk factors and develop a …

Background Acute kidney injury (AKI) is independently associated with morbidity and
mortality in a wide range of surgical settings. Nowadays, with the increasing use of …