Development and validation of a predictive model for low cardiac output syndrome after surgical repair of tetralogy of Fallot.

ABSTRACT:

Background

Low cardiac output syndrome (LCOS) remains a serious postoperative complication for children with tetralogy of Fallot (TOF), which often leads to increased morbidity and mortality. Early identification of LCOS and timely management are critical for better outcomes. This study aimed to develop a prediction model incorporating pre- and intraoperative characteristics for LCOS within 24 hours after surgical repair of TOF in children.

Methods

The training dataset consisted of patients with TOF who underwent surgical repair in 2021, while the validation dataset consisted of patients in 2022. The univariable and multivariable logistic regression analyses were performed to recognize the risk factors of postoperative LCOS and a predictive model was established based on mul

SUBMITTER: Song Y 

PROVIDER: S-EPMC10326752 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature