0000000001026591
AUTHOR
Raquel Núñez
showing 7 related works from this author
Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.
2018
Background Heart failure (HF) is associated with a high rate of readmissions within 30 days post-discharge and in the following year, especially in frail elderly patients. Biomarker data are scarce in this high-risk population. This study assessed the value of early post-discharge circulating levels of ST2, NT-proBNP, CA125, and hs-TnI for predicting 30-day and 1-year outcomes in comorbid frail elderly patients with HF with mainly preserved ejection fraction (HFpEF). Methods Blood samples were obtained at the first visit shortly after discharge (4.9 ± 2 days). The primary endpoint was the composite of all-cause mortality or HF-related rehospitalization at 30 days and at 1 year. All-cause mo…
Additional file 3: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S3. Cox regression analyses for 1-year HF-related hospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 2: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S2. Cox regression analyses for 30-day rehospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 3: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S3. Cox regression analyses for 1-year HF-related hospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 2: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S2. Cox regression analyses for 30-day rehospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 1: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S1. Correlations between studied biomarkers. Correlation between the different studied biomarkers was performed using Pearson correlation test of log-transformed values of each biomarker. (DOCX 25 kb)
Additional file 1: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S1. Correlations between studied biomarkers. Correlation between the different studied biomarkers was performed using Pearson correlation test of log-transformed values of each biomarker. (DOCX 25 kb)