Estimating time-varying treatment switching effect using accelerated failure time model with application to vascular access for hemodialysis

• Published in: Communications in statistics. Theory and methods Vol. 52; no. 15; pp. 5145 - 5154
• Main Authors: Chu, Fang-I, Wang, Yuedong
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 03.08.2023; Taylor & Francis Ltd
• Subjects: Failure times; Hemodialysis; smoothing spline function; Spline functions; Switching; time-varying switching effect; Treatment switching; Treatment switching; Smoothing spline function; Time-varying switching effect
• ISSN: 0361-0926; 1532-415X
• DOI: 10.1080/03610926.2021.2004423

Vascular access for hemodialysis is of paramount importance. Although studies have found that central venous catheter (CVC) is often associated with poor outcomes and switching to arteriovenous fistula (AVF) and arteriovenous grafts (AVG) is beneficial, it has not been fully elucidated how the effect of switching of access on outcomes changes over time and whether the effect depends on switching time. In this article, we propose to relate the observed survival time for patients without access change and the counterfactual time for patients with access change using an AFT model with time-varying effects. The flexibility of AFT model allows us to account for baseline effect and the prognostic effect from covariates at access change while estimating the effect of access change. The effect of access change over time is modeled nonparametrically using a cubic spline function. Simulation studies show excellent performance. Our methods are applied to investigate the effect of vascular access change over time in dialysis patients. It is concluded that the benefit of switching from CVC to AVG depends on the time of switching, the sooner the better.