Abstract

This study aimed to develop a noninvasive, economical and effective subclinical renal damage (SRD) risk assessment tool to identify the high-risk asymptomatic people from large-scale population and improve current clinical SRD screening strategies. 2303 participants were included from Hanzhong Adolescent Hypertension Cohort, an ongoing prospective study followed for 30 years. Three noninvasive prediction factors (SBP, DBP and BMI) were identified as SRD-associated variables. Based on these three variables., an SRD risk assessment score with excellent classification ability (AUC value of ROC curve: 0.778 for SRD estimation, 0.729 for 4-year SRD risk prediction), calibration (Hosmer-Lemeshow goodness-of-fit test P = 0.62 for SRD estimation, P = 0.34 for 4-year SRD risk prediction) and more potential clinical benefits was developed. In addition, we identified three child-to-adult SRD risk assessment score trajectories: increasing, increasing-stable and stable. Further difference analysis and logistic regression analysis also showed these SRD risk assessment score trajectories were highly associated with the incidence of SRD in middle age. In brief, we developed a novel and noninvasive SRD risk assessment tool with excellent performance to help identify high-risk asymptomatic people from large-scale population and assist in SRD screening. JOURNAL/jhype/04.03/00004872-202301001-01109/figure1/v/2023-10-24T163949Z/r/image-jpeg

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call