Modeling pulse wave velocity trajectories-challenges, opportunities, and pitfalls

Georg Heinze; Jeppe Christensen; Maria C Haller

doi:10.1016/j.kint.2021.12.025

Modeling pulse wave velocity trajectories-challenges, opportunities, and pitfalls

Kidney Int. 2022 Mar;101(3):459-462. doi: 10.1016/j.kint.2021.12.025.

Authors

Georg Heinze¹, Jeppe Christensen², Maria C Haller³

Affiliations

¹ Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria. Electronic address: georg.heinze@meduniwien.ac.at.
² Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
³ Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria; Department of Medicine III, Nephrology, Hypertension, Transplantation, Rheumatology, Geriatrics, Elisabethinen Hospital, Ordensklinikum Linz, Linz, Austria.

PMID: 35190033
DOI: 10.1016/j.kint.2021.12.025

Abstract

In this commentary, we discuss the analysis of trajectories of pulse wave velocity in a longitudinal cohort study of children with chronic kidney disease (the Cardiovascular Comorbidity in Children with Chronic Kidney Disease - Transplantation study). We revisit the analysis made by the study authors and unravel some additional limitations. We also reevaluate the implicit assumptions that were made in the chosen analysis and suggest extensions of the basic linear mixed model to obtain more differentiated answers to research questions in nephrology.

Publication types

Comment

MeSH terms

Child
Cohort Studies
Comorbidity
Humans
Longitudinal Studies
Pulse Wave Analysis*
Renal Insufficiency, Chronic* / diagnosis
Renal Insufficiency, Chronic* / therapy