scholarly journals Prognostic Significance of Creatinine Increases During an Acute Heart Failure Admission in Patients With and Without Residual Congestion

Author(s):  
Marco Metra ◽  
Gad Cotter ◽  
Stefanie Senger ◽  
Christopher Edwards ◽  
John G. Cleland ◽  
...  
2012 ◽  
Vol 59 (13) ◽  
pp. E1049
Author(s):  
Sameer Ather ◽  
Chirag Bavishi ◽  
Anita Deswal ◽  
Kumudha Ramasubbu ◽  
David Aguilar ◽  
...  

2017 ◽  
Vol 20 (2) ◽  
pp. 317-322 ◽  
Author(s):  
Gad Cotter ◽  
Marco Metra ◽  
Beth A. Davison ◽  
Guillaume Jondeau ◽  
John G.F. Cleland ◽  
...  

2017 ◽  
Vol 145 (3-4) ◽  
pp. 118-123
Author(s):  
Dejan Petrovic ◽  
Marina Deljanin-Ilic ◽  
Sanja Stojanovic

Introduction/Objective. Clinical risk stratification of patients hospitalized due to acute heart failure (AHF) applying B-type natriuretic peptide (BNP), troponin I (TnI), and high-sensitivity C-reactive protein (hsCRP) biochemical markers can contribute to early diagnosis of AHF and lower mortality rates. The aim of this study was to investigate the prognostic significance of biomarkers (BNP, TnI, and hsCRP) and co-morbidities concerning one-year mortality in patients with AHF. Methods. Clinical group comprised 124 consecutive unselected patients, age 60?80 years, treated at the Coronary Care Unit of the Niska Banja Institute, Nis. The patients were monitored for one year after the discharge. During the first 24 hours after admission, BNP, TnI, and hsCRP were measured in fasting serum. Results. Total one-year mortality was 29.8%. The levels of serum BNP were significantly higher in the group of non-survivors compared to the group of survivors (1353.8 ?} 507.8 vs. 718.4 ?} 387.6 pg/mL, p < 0.001). We identified several clinical and biochemical prognostic risk factors by univariate and multivariate analysis. Independent predictors of one-year mortality were the following: BNP, TnI, depression, hypotension, chronic renal failure, ejection fraction, and right-ventricle systolic pressure. Conclusion. The presence of BNP and TnI biomarkers and several co-morbidities such as depression or chronic renal failure have significant influence on one-year mortality in patients with AHF.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Alessandro Vella ◽  
Gianmarco Carenini ◽  
Francesco Bandera ◽  
Marco Guazzi

Introduction: The heart-kidney interaction in heart failure (HF) is a matter of special interest, especially due to its strong prognostic significance. The search for a reliable, non-invasive parameter with high pathophysiological and prognostic impact to evaluate HF-related renal congestion remains attractive. Doppler evaluation of intra-renal venous flow (IRVF) has been recently employed in HF patients, with a spectrum of findings ranging from a normal continuous flow to a monophasic discontinuous one, indicative of low and high degrees of renal congestion, respectively. Hypothesis: We postulated a role for right atrial dynamics in the renal congestion pathophysiology. The impairment in atrial deformation and pump function may play a primary role increasing the pulsatile backward load in the venous system, especially in acute heart failure (AHF) patients. Methods: 119 consecutive AHF patients were prospectively investigated within 48 hours from admission. Doppler-derived descriptors of renal hemodynamics included the renal arterial resistive index, IRVF pattern, venous impedance index and renal venous stasis index (RVSI). Results: Right atrial peak longitudinal strain (RAPLS) showed a strong correlation with IRVF pattern (Fig A) and various indices of RV function (TAPSE, S’, FAC) and RV coupling as represented by the TAPSE/PASP ratio (Fig B). At multivariate regression analysis, TAPSE/PASP ratio emerged as the main determinant of RVSI. On the other hand, considering only patients with a clearly impaired RV coupling (TAPSE/PASP <0.30), RAPLS emerged as the best determinant of RVSI (Fig C-D). Conclusions: Our data confirms the main role of the right heart in determining renal stasis in HF patients. When RV to pulmonary circulation uncoupling is severe, the right atrium becomes the key balancing factor in the venous renal flow response. Studies on the mechanistic contribution of the RA dysfunction and the recovery potential of interventions are warranted.


2021 ◽  
Author(s):  
Ji Zhang ◽  
Wenhua Li ◽  
Gaojun Cai ◽  
Jianqiang Xiao ◽  
Jie Hui ◽  
...  

Abstract Background In acute heart failure (AHF), elevated carbohydrate antigen 125 (CA125) and N-terminal pro-B-type natriuretic peptide (NTproBNP) have shown to correlate with adverse events. We sought to quantify their prognostic usefulness in predicting the 6-month combined endpoint of death/heart failure readmission. Methods The study includes 352 patients admitted for AHF. The primary endpoint was 6-month combined endpoint of death/AHF rehospitalization. CA125 and NTproBNP were dichotomized according to the best cut-offs to predict 6-month primary endpoint. By multivariate Cox regression analysis, the independent association of CA125 and NTproBNP with the primary endpoint was assessed, and their incremental prognostic utility evaluated by net reclassification improvement (NRI) and integrated discrimination improvement (IDI) index. Results A total of 47 (13.4%) deaths and 113 (32.1%) AHF rehospitalizations were identified at 6-month follow-up. The subjects with CA125 ≥ 39.7 U/ml and NTproBNP ≥ 3900 pg/ml had significantly higher cumulative event rates (56.1% vs. 33.3% and 53.3% vs. 33.8%, both P < 0.001). Elevated CA125 (HR 1.93; 95%CI [1.32–2.83]; P = 0.001) was associated with higher HR than NTproBNP ≥ 3900 pg/ml (HR 1.71; 95%CI [1.19–2.48]; P = 0.004) after adjusting for established risk factors. Elevated CA125 still independently predicted adverse events when both CA125 and NTproBNP were entered together in the same multivariate model. Furthermore, risk reclassification analyses demonstrated significant improvements in NRI of 22.3% (P = 0.014) and IDI of 2.7% (P = 0.012) when adding CA125 to the base model + NTproBNP. Conclusions Elevated CA125 and NTproBNP predicted adverse outcomes in AHF patients. CA125 added prognostic value to NTproBNP, and thus, their combination conferred greater predictive capacity.


2020 ◽  
Vol 1 (2) ◽  
pp. 59-66
Author(s):  
Vinod Kumar ◽  
Pravin K. Goel ◽  
Roopali Khanna ◽  
Aditya Kapoor ◽  
Kunal Mahajan

Objective: The B-type natriuretic peptide (BNP) levels could predict future cardiovascular events in congestive heart failure patients. Most studies have correlated basal BNP levels to long-term outcomes. Limited data exist on the prognostic significance of 1-month postdischarge BNP levels after acute heart failure. Methods: Consecutive patients admitted for worsening heart failure were enrolled. BNP was measured at admission, predischarge and at 1-month following discharge. Patients were followed for 1 year for end points of death and rehospitalization. Results: A total of 150 patients (mean age 60.8 + 13.8 years) were included in the heart failure study. 81 (54%) patients had acute heart failure secondary to acute coronary syndrome, while the rest (46%) had acute decompensation of chronic heart failure irrespective of etiology. Mean ejection fraction was 28.6 + 8.9%. 14 patients expired during hospitalization. BNP at admission was an important predictor of in hospital mortality ( P value = .003). Following discharge, 7 events (3 deaths and 4 rehospitalizations) occurred over next 1 month. 1-month outcome was predicted by baseline BNP ( P value = .01) as well as discharge BNP value ( P value = .001). A total of 55 events (26 rehospitalization and 29 deaths) occurred at follow-up of 1 year. Age > 50years, ejection fraction at baseline and all time sequential BNP levels (at admission, discharge, as well as 1 month) were univariate predictors of death and rehospitalization at 1 year. The BNP at 1 month had best discriminative power and remained the lone significant predictor in the multivariate analysis ( P = < .001). Conclusions: 1-month postdischarge BNP level is a useful prognostic factor that predicts mortality and rehospitalization at 1-year follow-up, in patients admitted with heart failure, and helps in identifying patients who need more intensive drug treatment and closer follow-up.


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