Extract

To the Editor,

Osteopontin (OPN), a multifunctional protein involved in various physiological processes, has been linked to the pathogenesis of cardiovascular (CV) diseases [1, 2] and there is evidence that this protein may play a role in atherosclerosis in chronic kidney disease (CKD) patients [3, 4]. However, until now, only two studies with limited sample sizes (n = 93 and 57, respectively) have investigated the relationship between OPN and all-cause and CV mortality [5, 6] in CKD patients, yielding controversial results. In these studies, the link between OPN and death and CV events was investigated by conventional statistical approaches, such as Cox's regression analysis centred on just one measurement of OPN at baseline. To address this limitation, in this study, for the first time, we applied the joint model to investigate the longitudinal relationship between this biomarker and CV events and death in a cohort of CKD patients [7]. Specifically, the joint model offers a unique and powerful approach that simultaneously analyses longitudinal changes in OPN levels and time-to-event data of non-fatal CV events and mortality.

You do not currently have access to this article.

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.