TY - JOUR
T1 - Evaluating three biomarkers as prognostic factors of in-hospital mortality and severity in heart failure
T2 - A prospective cohort
AU - Segura-Saldaña, Pedro A.
AU - Chambergo-Michilot, Diego
AU - Alarcón-Santos, Javier E.
AU - Aguilar, Cristian
AU - Alvarez-Vargas, Mayita L.
AU - Padilla-Reyes, Marcos
AU - Leon-Vivar, Rodrigo
AU - Pariona-Javier, Marcos
N1 - Publisher Copyright:
© 2021 Sociedade Portuguesa de Cardiologia
PY - 2022/1
Y1 - 2022/1
N2 - Objective: To identify the relationship between red blood cell distribution width (RDW, %), interleukin-6 (IL-6) (pg/ml), high sensitivity-c-reactive protein (hs-CRP) (mg/l), in-hospital mortality and disease severity among patients with heart failure (HF). Methods: Prospective cohort. We included adults diagnosed with acute non-ischemic HF in 2015. The dependent variables were in-hospital mortality (yes or no) and disease severity. The latter was assessed with the Get With The Guidelines-HF score. We used hierarchical regression models to describe the pattern of association between biomarkers, mortality, and severity. We used the Youden index to identify the best cut-off for mortality prediction. Results: We included 167 patients; the mean age was 72.61 (SD: 11.06). The majority of patients presented with New York Heart Association classification II (40.12%) or III (43.11%). After adjusting for age and gender, all biomarkers were associated with mortality. After adding comorbidities, only IL-6 was associated. The final model with all clinical variables showed no effect from any biomarker. The best cut-off for RDW, hs-CRP and IL-6 for mortality were 14.8, 68.7 and 52.9, respectively. IL-6 presented the highest sensitivity (100%), specificity (75.35%) and area under the curve (0.91). Conclusions: No biomarker is independent from the most important clinical variables; therefore it should not be used for management modifications.
AB - Objective: To identify the relationship between red blood cell distribution width (RDW, %), interleukin-6 (IL-6) (pg/ml), high sensitivity-c-reactive protein (hs-CRP) (mg/l), in-hospital mortality and disease severity among patients with heart failure (HF). Methods: Prospective cohort. We included adults diagnosed with acute non-ischemic HF in 2015. The dependent variables were in-hospital mortality (yes or no) and disease severity. The latter was assessed with the Get With The Guidelines-HF score. We used hierarchical regression models to describe the pattern of association between biomarkers, mortality, and severity. We used the Youden index to identify the best cut-off for mortality prediction. Results: We included 167 patients; the mean age was 72.61 (SD: 11.06). The majority of patients presented with New York Heart Association classification II (40.12%) or III (43.11%). After adjusting for age and gender, all biomarkers were associated with mortality. After adding comorbidities, only IL-6 was associated. The final model with all clinical variables showed no effect from any biomarker. The best cut-off for RDW, hs-CRP and IL-6 for mortality were 14.8, 68.7 and 52.9, respectively. IL-6 presented the highest sensitivity (100%), specificity (75.35%) and area under the curve (0.91). Conclusions: No biomarker is independent from the most important clinical variables; therefore it should not be used for management modifications.
KW - Biomarkers
KW - C-reactive protein
KW - Erythrocyte count
KW - Heart failure
KW - Interleukin-6
KW - Mortality
UR - http://www.scopus.com/inward/record.url?scp=85115802542&partnerID=8YFLogxK
U2 - 10.1016/j.repc.2021.03.010
DO - 10.1016/j.repc.2021.03.010
M3 - Artículo
AN - SCOPUS:85115802542
SN - 0870-2551
VL - 41
SP - 31
EP - 40
JO - Revista Portuguesa de Cardiologia
JF - Revista Portuguesa de Cardiologia
IS - 1
ER -