scholarly journals Prognostic Nutritional Index as the Predictor of Long-Term Mortality among HFrEF Patients with ICD

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
G Cinier ◽  
MI Hayiroglu ◽  
L Pay ◽  
AC Yumurtas ◽  
O Tezen ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background The benefit of implantable cardiac defibrillator (ICD) in patients with heart failure and reduced ejection fraction (HFrEF) could be limited in a particular group of patients. Low prognostic nutritional index (PNI) indicates malnutrition and pro-inflammatory condition. We sought to investigate the value of PNI in predicting long-term mortality among HFrEF patients with ICD. Methods Electronic database was searched for identifying patients with HFrEF who were implanted ICD in our institution between 2009 and 2019. Demographic and clinical characteristics of included patients were recorded. PNI was calculated according to the formula: 10 x serum albumin (g/dL) + 0.005 x total lymphocyte count (per mm3). Patients were divided into the quartiles according to PNI values. Differences between the groups were analysed by the log-rank test. A forward Cox proportional regression model was used for multivariable analysis. Results One thousand and hundred patients were included to the study. The underlying heart failure etiology was ischemic and non-ischemic in 77.3% and 22.7% of patients respectively. Mortality rate in Q1 (5.1%) was considered as the reference. In the unadjusted model the mortality rate was 9.5% [hazard ratio (HR) 1.76, 95% confidence interval (95% CI) (0.92 – 3.38)] in Q2, 10.2% (HR 1.88, 95% CI 0.99 – 3.58) in Q3 and 39.6% (HR 8.12, 95% CI 4.65 – 14.17) in Q4. The same trend was consistent in the age- and sex-adjusted, comorbidities-adjusted and covariates-adjusted models. Conclusion Among patients who were implanted ICD secondary to HFrEF, lower PNI value predicted all-cause mortality during long-term follow up. This is the first study demonstrating the value of PNI in this population. Table 1Admission Prognostic Nutritional Index (n = 1100)Q1 (n = 275)Q2 (n = 275)Q3 (n = 275)Q4 (n = 275)Long-term mortalityNumber of deaths142628109Mortality, %5.19.510.239.6Mortality, HR (%95 CI)Model 1: unadjusted1[Reference]1.76 (0.92 - 3.38)1.88 (0.99 - 3.58)8.12 (4.65 - 14.17)Model 2: adjusted for age, sex1[Reference]1.70 (0.90 - 3.48)1.79 (0.94 - 3.42)7.76 (4.42 - 13.61)Model 3: adjusted for comorbiditesa1[Reference]1.85 (0.96 - 3.55)1.89 (0.99 - 3.60)9.02 (4.34 - 14.12)Model 4: adjusted for covariatesb1[Reference]1.66 (0.88 - 3.21)1.60 (0.80 - 3.05)6.45 (3.61 - 12.5)Cox proportional analysis and logistic regression models for the long-term mortality by the prognostic nutritional indexAbstract Figure 1

Author(s):  
Göksel Çinier ◽  
Mert İlker Hayıroğlu ◽  
Levent Pay ◽  
Ahmet Çağdaş Yumurtaş ◽  
Ozan Tezen ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Matthew Cefalu ◽  
Jasneet Devgun ◽  
Samuel Kennedy ◽  
Jeremy Slivnick ◽  
Zachary Garrett ◽  
...  

Heart failure with improved ejection fraction (HFiEF) is a unique and developing clinical entity among the heart failure (HF) spectrum. Prior studies suggest the characteristics, therapy, and prognosis of HFiEF are distinctive from HF with reduced ejection fraction (HFrEF) or mid-range ejection fraction (HFmrEF). We hypothesized that patients diagnosed with acute HF who later progressed to HFiEF would have improved cardiovascular outcomes compared to HFrEF. Our retrospective study included 295 adult patients with no prior history of HF at The Ohio State University diagnosed with acute HF. We defined HFrEF as a persistent ejection fraction < 40%, HFmrEF as persistent ejection fraction 40-49%, and HFiEF as improvement from baseline ejection fraction by > 5%. Nearly 74% of patients were found to have HFiEF while 12% and 14% were classified as HFrEF and HFmrEF respectively. Using a log-rank test, the time to first cardiovascular rehospitalization was significantly longer in HFiEF compared to HFrEF or HFmrEF (p=0.0192, Figure 1). Multivariable analysis, controlled for age and gender, indicated HFiEF had a trend towards significance as an independent predictor for time to cardiovascular hospitalization (p=0.053). Notably amyloid HF, valvular HF, and ischemic HF were all significant independent predictors. Survival analysis demonstrated that HFmrEF had significantly longer survival on log-rank test compared to HFrEF (p=0.0367). Multivariable analysis shows significantly lower hazard of mortality for those with HFmrEF (HR 0.57, 95% CI [0.36-0.92], p=0.017). Our exciting data indicates the progression to HFiEF after the diagnosis of acute HF is associated with reduced cardiovascular rehospitalization, and HFmrEF is associated with increased survival. These data have implications in patient surveillance and risk stratification as well as defining the natural history of HFiEF and HFmrEF as unique entities.


2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
E Galli ◽  
Y Bouali ◽  
A Gallard ◽  
A Hubert ◽  
C Leclercq ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background the non-invasive assessment of myocardial work (MW) by pressure-strain loops analysis (PSL) is a relative new tool for the evaluation of myocardial performance. Sacubitril/Valsartan is a treatment for heart failure with reduced ejection fraction (HFrEF) which has a spectacular effect on the reduction of cardiovascular events (MACEs). Purposes of this study were to evaluate 1) the short and medium term effect of Sacubitril/Valsartan treatment on MW parameters; 2) the prognostic value of MW in this specific group of patients. Methods 79 patients with HFrEF (mean age: 66 ± 12 years; LV ejection fraction: 28 ± 9%) were prospectively included in the study and treated with Sacubitril/Valsartan. Echocardiographic examination was performed at baseline, and after 6- and 12-month of therapy with Sacubitril/Valsartan. Results Sacubitril/Valsartan significantly increased myocardial constructive work (CW) (1023 ± 449 vs 1424 ± 484 mmHg%, p &lt; 0.0001) and myocardial work efficiency (WE) [87 (78-90) vs 90 (86-95), p &lt; 0.0001]. During FU (2.6 ± 0.9 years), MACEs occurred in 13 (16%) patients. After correction for LV size, LVEF and WE, global myocardial constructive work (CW) was the only predictor of MACEs [HR 0.99 (0.99-1.00), p = 0.05]. (Table 1). A CW &lt; 910 mmHg (AUC = 0.81, p &lt; 0.0001, Figure 1, left panel) identified patients at particularly increase risk of MACEs [HR 11.09 (1.45-98.94), p = 0.002, log-rank test p &lt; 0.0001] (Figure 2, Right panel). Conclusions in patients with HFrEF who receive a comprehensive background beta-blocker and mineral-corticoid receptor antagonist therapy, Sacubitril/Valsartan induces a significant improvement of myocardial CW and WE. In this population, the estimation of CW before the initiation of Sacubitril/Valsartan therapy allows the prediction of MACEs. Univariable analysis Multivariable analysis HR (95% CI) p-value HR (95% CI) p-value Age, per year 0.99 (0.95-1.04) 0.81 Ischemic cardiomyopathy 1.07 (0.36-3.21) 0.89 LVEDVi*, per ml/m2 1.01 (1.00-1.03) 0.03 LVESVi, per ml/m2 1.01 (1.00-1.03) 0.009 1.01 (0.99-1.02) 0.35 LVEF, per % 0.91 (0.85-0.98) 0.01 1.02 (0.93-1.12) 0.71 CW, per mmHg% 0.99 (0.99-1.00) 0.002 0.99 (0.99-1.00) 0.04 WE, per mmHg% 0.91 (0.86-0.96) 0.001 0.95 (0.88-1.02) 0.16 Predictors of MACEs at univariable and multivariable analysis Abstract Figure 1 A and B


2021 ◽  
Vol 10 (18) ◽  
Author(s):  
Brian Schwartz ◽  
Colin Pierce ◽  
Christian Madelaire ◽  
Morten Schou ◽  
Søren Lund Kristensen ◽  
...  

Background Carvedilol may have favorable glycemic properties compared with metoprolol, but it is unknown if carvedilol has mortality benefit over metoprolol in patients with type 2 diabetes (T2D) and heart failure with reduced ejection fraction (HFrEF). Methods and Results Using Danish nationwide databases between 2010 and 2018, we followed patients with new‐onset HFrEF treated with either carvedilol or metoprolol for all‐cause mortality until the end of 2018. Follow‐up started 120 days after initial HFrEF diagnosis to allow initiation of guideline‐directed medical therapy. There were 39 260 patients on carvedilol or metoprolol at baseline (mean age 70.8 years, 35% women), of which 9355 (24%) had T2D. Carvedilol was used in 2989 (32%) patients with T2D and 10 411 (35%) of patients without T2D. Users of carvedilol had a lower prevalence of atrial fibrillation (20% versus 35%), but other characteristics appeared well‐balanced between the groups. Totally 11 306 (29%) were deceased by the end of follow‐up. We observed no mortality differences between carvedilol and metoprolol, multivariable‐adjusted hazard ratio (HR) 0.97 (0.90–1.05) in patients with T2D versus 1.00 (0.95–1.05) for those without T2D, P for difference =0.99. Rates of new‐onset T2D were lower in users of carvedilol versus metoprolol; age, sex, and calendar year adjusted HR 0.83 (0.75–0.91), P <0.0001. Conclusions In a contemporary clinical cohort of HFrEF patients with and without T2D, carvedilol was not associated with a reduction in long‐term mortality compared with metoprolol. However, carvedilol was associated with lowered risk of new‐onset T2D supporting the assertion that carvedilol has a more favorable metabolic profile than metoprolol.


2018 ◽  
Vol 26 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Andrija Pavlović ◽  
Marija Polovina ◽  
Arsen Ristić ◽  
Jelena P Seferović ◽  
Ivana Veljić ◽  
...  

Background We assessed the prevalence of newly diagnosed prediabetes and type-2 diabetes mellitus (T2DM), and their impact on long-term mortality in patients hospitalized for worsening heart failure with reduced ejection fraction (HFrEF). Methods We included patients hospitalized with HFrEF and New York Heart Association (NYHA) functional class II–III. Baseline two-hour oral glucose tolerance test was used to classify patients as normoglycaemic or having newly diagnosed prediabetes or T2DM. Outcomes included post-discharge all-cause and cardiovascular mortality during the median follow-up of 2.1 years. Results At baseline, out of 150 patients (mean-age 57 ± 12 years; 88% male), prediabetes was diagnosed in 65 (43%) patients, and T2DM in 29 (19%) patients. These patients were older and more often with NYHA class III symptoms, but distribution of comorbidities was similar to normoglycaemic patients. Taking normoglycaemic patients as a reference, adjusted risk of all-cause mortality was significantly increased both in patients with prediabetes (hazard ratio, 2.6; 95% confidence interval (CI), 1.1–6.3; p = 0.040) and in patients with T2DM (hazard ratio, 5.3; 95% CI, 1.7–15.3; p = 0.023). Likewise, both prediabetes (hazard ratio, 2.9; 95% CI, 1.1–7.9; p = 0.041) and T2DM (hazard ratio, 9.7; 95% CI 2.9–36.7; p = 0.018) independently increased the risk of cardiovascular mortality compared with normoglycaemic individuals. There was no interaction between either prediabetes or T2DM and heart failure aetiology or gender on study outcomes (all interaction p-values > 0.05). Conclusions Newly diagnosed prediabetes and T2DM are highly prevalent in patients hospitalized for worsening HFrEF and NYHA functional class II–III. Importantly, they impose independently increased long-term risk of higher all-cause and cardiovascular mortality.


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