Additional file 1 of Initiation of the SGLT2 inhibitor canagliflozin to prevent kidney and heart failure outcomes guided by HbA1c, albuminuria, and predicted risk of kidney failure
Creators: name: Tye, Sok Cin
name: Jongs, Niels
name: Coca, Steven G.
name: Sundström, Johan
name: Arnott, Clare
name: Neal, Bruce
name: Perkovic, Vlado
name: Mahaffey, Kenneth W.
name: Vart, Priya
name: Heerspink, Hiddo. J. L.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Marine Biology
subject: Cancer
subject: 60506 Virology
subject: FOS: Biological sciences
subject: Computational Biology

description: Additional file 1: Box S1. Prediction of the effect ofcanagliflozin on the composite kidney risk for individual patients with type 2diabetes in the CANVAS trial according to clinical and novel markers model. Table S1. Hazard ratios and P-for-interactions between predictedbaseline risk and treatment variable for both the composite kidney and thecomposite of heart failure or cardiovascular death outcomes. Figure S1. (A) The number of events prevented in patientswith albuminuria (UACR ≥30mg/g, n=1037) based on the HbA1c (red line), urinary-albumin-creatinineratio (UACR) (purple line), clinical markers (green line), or clinical andnovel biomarkers (blue line) strategy for the composite kidney outcome(defined as the composite of sustained 40% decline of eGFR, end-stage kidneydisease with eGFR &lt;15 mL/min/1.73m², or need for dialysis or kidneytransplantation, or kidney death),and C-statistics obtained for the respective model. Numbers at each curve arespecific HbA1c, UACR cut-offs or based on 5th to 95th percentiles of predicted5-year risk at specific treatment threshold. (B) The number needed to treat inpatients with albuminuria (UACR ≥30mg/g, n=1037) in order to avoid onecomposite heart failure outcome according to the HbA1c (red line), UACR (purpleline), clinical markers (green line) or the clinical and novel markers (blueline) strategies are shown in the same figure. The intersection points at thevertical dashed-lines indicate the corresponding events prevented and thenumber needed to treat for the different strategies for the same number ofpatients treated with UACR ≥30mg/g and UACR≥300mg/g (n = 214). Figure S2. (A)The number of events prevented in patients with albuminuria (UACR ≥30mg/g,n=1037) based on the HbA1c (red line), urinary-albumin-creatinine ratio (UACR)(purple line), clinical markers (green line), or clinical and novel biomarkers(blue line) strategy for the composite heart failure outcome (defined as heartfailure hospitalization or CV death) outcome, and C-statistics obtained for therespective model. Numbers at each curve are specific HbA1c, UACR cut-offs orbased on 5th to 95th percentiles of predicted 5-year risk at specific treatmentthreshold. (B) The number needed to treat in patients with albuminuria (UACR≥30mg/g, n=1037) in order to avoid one composite heart failure outcomeaccording to the HbA1c (red line), UACR (purple line), clinical markers (greenline) or the clinical and novel markers (blue line) strategies are shown in thesame figure. The intersection points at the vertical dashed-lines indicate thecorresponding events prevented and the number needed to treat for the differentstrategies for the same number of patients treated with UACR ≥30mg/g and UACR≥300mg/g(n = 214).