Serum Potassium Levels and Mortality in Hospitalized Heart Failure Patients.

Background: To assess the link between serum potassium ( K + ) and all-cause mortality in hospitalized heart failure (HF) patients. Methods: Hospitalized HF patients (n = 3114) were analyzed at the Fuwai Hospital Heart Failure Center. Before discharge, HF patients were divided into four groups according to the K + level quartiles: K + ≤ 3.96 mmol/L (Q1), 3.96 < K + ≤ 4.22 mmol/L (Q2), 4.22 < K + ≤ 4.52 mmol/L (Q3), and K + > 4.52 mmol/L (Q4). At 90 days, 2 years, and maximal follow-up, all-cause mortality was the primary outcome. Results: Patients with HF in the Q4 group had worse cardiac function, higher N-terminal pro-B-type natriuretic peptide levels, lower left ventricular ejection fractions and lower estimated glomerular filtration rates than patients in the Q2 group. In the multivariate-adjusted Cox analysis, the mortality assessed during the 90-day, 2-year, and maximal follow-up examinations increased in the Q4 group of HF patients but not in the Q1 and Q3 groups. The Q4 group had a 28% (hazard ratio [HR]: 1.28, 95% confidence interval [CI]: 1.09-1.49, p = 0.002) higher risk of all-cause mortality at maximum follow-up. Hypokalemia and hyperkalemia were linked to increased HF mortality risk at the 90-day, 2-year, and maximal follow-up periods. Conclusions: Serum K + levels had a J-shaped association with all-cause mortality in HF patients. Both hypokalemia and a K + level of > 4.52 mmol/L were associated with increased all-cause mortality in the short term and long term, suggesting a narrow target K + range in HF patients. Clinical Trial Registration: Unique Identifier: NCT02664818; URL: clinicaltrials.gov.

The prognostic predictive value of the components of the PR interval in hospitalized patients with heart failure.

OBJECTIVE: Previous reports on the epidemiology, influencing factors, and the prognostic value of the components of PR interval in hospitalized heart failure patients were limited. METHODS: This study retrospectively enrolled 1182 patients hospitalized with heart failure from 2014 to 2017. Multiple linear regression analysis was used to explore the association between the components of PR interval and the baseline parameters. The primary outcome was all-cause death or heart transplantation. Multivariable-adjusted Cox proportional hazard regression models were constructed to explore the predictive value of the components of PR interval for the primary outcome. RESULTS: In multiple linear regression analysis, higher height (for every 10 cm increase in height: regression coefficient 4.83, P < 0.001) as well as larger atrial and ventricular size were associated with larger P wave duration but not with PR segment. The primary outcome occurred in 310 patients after an average follow-up of 2.39 years. Cox regression analyses revealed that the increase in PR segment was an independent predictor of the primary outcome (every 10 ms increase: hazard ratio 1.041, 95% confidence interval [CI] 1.010-1.083, P = 0.023), whereas the P wave duration did not show significant correlation. When adding the PR segment to an initial prognostic prediction model, the likelihood ratio test and categorical net reclassification index (NRI) showed a significant improvement, but the increase in C-index was not significant. In subgroup analysis, increased PR segment was an independent predictor of the primary endpoint in patients taller than 170 cm (each 10 ms increase: hazard ratio 1.153, 95% CI 1.085-1.225, P < 0.001) but not the shorter group (P for interaction = 0.006). CONCLUSIONS: In hospitalized patients with heart failure, longer PR segment was an independent predictor of the composite endpoint of all-cause death and heart transplantation, especially in the taller group, but it had limited significance in improving the prognostic risk stratification of this population.

Prevalence and prognostic importance of malnutrition, as assessed by four different scoring systems, in elder patients with heart failure.

BACKGROUND AND AIMS: The lack of standard diagnostic criteria in elder patients with heart failure (HF) makes it challenging to diagnose and manage malnutrition. We aimed to explore the prevalence of malnutrition, its associations and prognostic significance among elder patients with HF using four different nutritional scoring systems. METHODS AND RESULTS: Consecutively presenting patients aged ⩾65 years, diagnosed with HF, and admitted to HF care unit of Fuwai Hospital CAMS&PUMC (Beijing, China) were assessed for nutritional indices. In total, 1371 patients were enrolled (59.4% men; mean age 72 years; median NT-proBNP 2343 ng/L). Using scores for the prognostic nutritional index (PNI) ≤38, controlling nutritional status (CONUT) score >4, geriatric nutritional risk index (GNRI) ≤91, and triglycerides, total cholesterol, and body weight index (TCBI) ≤1109, 10.4%, 18.3%, 9.2%, and 50.0% of patients had moderate or severe malnutrition, respectively. There was a strong association between worse scores and lower body mass index, more severe symptoms, atrial fibrillation, and anemia. The mortality over a median follow-up of 962 days (interquartile range (IQR): 903-1029 days) was 28.3% (n = 388). For those with moderate or severe condition, 1-year mortality was 35.2% for PNI, 28.3% for CONUT, 28.0% for GNRI, and 19.1% for TCBI. Malnutrition, defined by any of the included indices, showed added prognostic value when incorporated into a model and included preexisting prognostic factors (C-statistic: 0.711). However, defining malnutrition by the CONUT score yielded the most significant improvement in the prognostic predictive value (C-statistic: 0.721; p < 0.001). CONCLUSION: Malnutrition is prevalent among elder patients with HF and confers increased mortality risk. Among the nutritional scores studied, the CONUT score was most effective in predicting the mortality risk. CLINICAL TRIAL REGISTRATION: URL: ClinicalTrials.gov; Unique Identifier: NCT02664818.

Prognostic utility of the prognostic nutritional index combined with serum sodium level in patients with heart failure.

BACKGROUND AND AIMS: Both malnutrition and hyponatremia (serum sodium <135 mmol/L) can be induced by the impaired absorption function of the edematous intestinal wall caused by heart failure (HF) and are prognostic factors of mortality in HF. However, little is known about the interrelationship of nutritional status and hyponatremia in mortality risk prediction in HF. METHODS AND RESULTS: This study enrolled 2882 HF patients admitted to the HF care unit of Fuwai Hospital, Beijing, China from 2008 to 2018; 71.3% were male and the mean age was 56.64 ± 15.96 years. Nutritional status was assessed by prognostic nutritional index (PNI), calculated as serum albumin (g/L) + 5 × total lymphocyte count (109/L). Lower PNI indicates worse nutritional status. Patients were divided into 8 groups based on baseline PNI quartiles (Q1: <43.6, Q2: 43.6-48.55, Q3: 48.55-63.25, Q4: >63.25) and sodium level (normal sodium and hyponatremia). After adjustment, patients in the PNI Q1 associated with hyponatremia had a 2.12-fold higher risk of all-cause death (95% confidence interval [CI]: 1.67-2.70) compared with those in the PNI Q4 with normal sodium. A refinement in risk prediction was observed after adding PNI quartile and serum sodium category to the original model (ΔC-statistic = 0.018, 95% CI: 0.007-0.025; net re-classification index = 0.459, 95% CI: 0.371-0.548; integrated discrimination improvement = 0.025, 95% CI: 0.018-0.032). CONCLUSION: HF patients with both the lowest PNI quartile and hyponatremia are at higher risk of all-cause mortality. The combination of PNI and serum sodium level enhanced the predictive value for all-cause mortality in hospitalized HF patients. CLINICAL TRIAL REGISTRATION: URL: ClinicalTrials.gov; Unique Identifier: NCT02664818.

Association between red blood cell distribution width-to-albumin ratio and prognosis in non-ischaemic heart failure.

AIMS: Red blood cell distribution width-to-albumin ratio (RAR), an innovate biomarker of inflammation, can independently predict adverse cardiovascular outcomes. However, the association between RAR and prognosis in patients with non-ischaemic heart failure (NIHF) remains unclear. METHODS AND RESULTS: A total of 2077 NIHF patients admitted to the Heart Failure Care Unit, Fuwai Hospital, were consecutively enrolled from December 2006 to October 2017 in this retrospective study. The primary endpoint was a composite outcome of all-cause mortality and heart transplantation. The correlation between RAR and the composite outcome was assessed by the Kaplan-Meier survival analysis and the Cox regression analysis. Incremental predictive values and the clinical performance of RAR for all-cause mortality or heart transplantation were also assessed based on a 12-variable traditional risk model. The median follow-up time in this study was 1433 (1341, 1525) days. As the gender no longer satisfied the Cox proportional risk assumption after 1150 days, we set 1095 days as the follow-up time for analysis. A total of 500 patients reached the composite outcome. Multivariable Cox regression showed that per log2 increase of RAR was significantly associated with a 132.9% [hazard ratio 2.329, 95% confidence interval (CI) 1.677-3.237, P < 0.001] increased risk of all-cause mortality or heart transplantation. Better model discrimination [concordance index: 0.766 (95% CI 0.754-0.778) vs. 0.758 (95% CI 0.746-0.770), P < 0.001], calibration (Akaike information criterion: 1487.3 vs. 1495.74; Bayesian information criterion: 1566.25 vs. 1569.43; Brier score: 1569.43 vs. 1569.43; likelihood ratio test P < 0.001), and reclassification (integrated discrimination improvement: 1.35%, 95% CI 0.63-2.07%, P < 0.001; net reclassification improvement: 13.73%, 95% CI 2.05-27.18%, P = 0.034) were improved after adding RAR to the traditional model (P < 0.001 for all). A higher overall net benefit was also obtained in the threshold risk probability of 20-55%. CONCLUSIONS: High level of RAR was an independent risk factor of poor outcome in NIHF.

Renal function modifies the association between hemoconcentration and outcomes in hospitalized heart failure patients.

Evidence-based management of decongestion is lacking in hospitalized heart failure (HHF) patients, especially in patients with impaired renal function. Hemoconcentration is an objective measure of decongestion that portends a favorable prognosis and guides management in HHF patients with preserved renal function. We aim to investigate whether it remains a prognosticator in patients with renal impairment, and to refine the identification of subpopulations who will benefit from hemoconcentration-guided therapy. HHF patients admitted to Heart Failure Center of Fuwai Hospital were consecutively included from December 2006 to June 2018. Patient characteristics were depicted. Relationships between in-hospital hemoconcentration, worsening renal function (WRF), and one-year all-cause mortality were investigated in the total population and compared between renal function groups using survival analysis and cubic splines, with a special focus on renal function-based interactions. The association was further validated in sensitivity analyses. Clinically relevant cut-offs and subpopulations were identified by subpopulation treatment effect pattern plots (STEPP) and subgroup analysis. 3661 participants (30.4% with impaired renal function) were included. Hemoconcentration, reflected by an in-hospital increase in hemoglobin, hematocrit, or a relative reduction in estimated plasma volume from baseline to discharge, was predictive of decreased one-year mortality in the total cohort despite its correlation with higher WRF incidence. The prognostic value of hemoconcentration differed in patients with impaired and preserved renal function. Hemoconcentration was related to a favorable prognosis in patients with preserved renal function (HR, 0.69; 95% CI, 0.53-0.90; P = 0.007), especially in young male patients with New York Heart Association functional class III-IV, reduced ejection fraction, and baseline eGFR > 75 mL/min/1.73m2. Contrarily, impaired renal function patients experienced a higher incidence of WRF, and hemoconcentration was no longer related to outcome (HR, 0.90; 95% CI, 0.64-1.26; P = 0.545), with findings consistent in all clinically relevant subgroups. In HHF patients, the prognostic value of hemoconcentration differs by renal function, and the clinical utility of hemoconcentration is contingent on preserved renal function.

Predictive value of remnant cholesterol level for all-cause mortality in heart failure patients.

Background: Lower cholesterol levels are associated with increased mortality in heart failure (HF) patients. Remnant cholesterol corresponds to all cholesterol not found in high-density lipoprotein (HDL) and low-density lipoprotein (LDL). The prognostic role of remnant cholesterol in HF remains unknown. Objective: To reveal the relationship between the baseline remnant cholesterol level and all-cause mortality in HF patients. Methods: This study enrolled 2,823 patients hospitalized for HF. Kaplan-Meier analysis, Cox regression, C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the prognostic value of remnant cholesterol for all-cause mortality in HF. Results: The mortality rate was lowest in the fourth quartile of remnant cholesterol, which had an adjusted hazard ratio (HR) for death of 0.56 [HR: 0.39, 95% confidence interval (CI): 0.46-0.68, p < 0.001] relative to the first quartile. After adjustment, a one-unit increase in the level of remnant cholesterol was associated with a 41% decrease in the risk of all-cause mortality (HR: 0.59, 95% CI: 0.47-0.73, p < 0.001). A refinement in risk prediction was observed after adding remnant cholesterol quartile to the original model (ΔC-statistic = 0.010, 95% CI: 0.003-0.017; NRI = 0.036, 95% CI: 0.003-0.070; IDI = 0.025, 95% CI: 0.018-0.033; all p < 0.05). Conclusion: Low remnant cholesterol levels are associated with increased all-cause mortality in HF patients. The addition of the remnant cholesterol quartile improved the predictive value over traditional risk factors. Clinical Trial Registration: ClinicalTrials.gov, Unique Identifier: NCT02664818.

Clinical Profile, Treatment, and Prognosis of Left Ventricular Thrombus in Dilated Cardiomyopathy.

Despite the emerging prevalence of left ventricular (LV) thrombus in dilated cardiomyopathy (DCM), clinical characteristics, management, and disease prognosis are poorly studied. We aim to assess the efficacy/safety profile of direct oral anticoagulants (DOACs) compared to warfarin by evaluating thrombus evolution, risk for stroke and systemic embolism (SSE), heart failure (HF) rehospitalization, all-cause mortality, and major adverse cardiovascular events (MACEs), and determine the impact of thrombus evolution on adverse events. We performed a historical cohort study of patients with a primary diagnosis of DCM and LV thrombus. Relationships between anticoagulants and thrombus resolution were analyzed with the Kaplan-Meier method and Cox regression. Associations between longitudinal thrombus evolution and adverse event hazard were measured with joint modeling. Among 122 patients included, 58.0% were prescribed warfarin, and 42.0% DOACs. Complete thrombus resolution at 90-day-after-index and 180-day-after-index was observed in 93 and 111 patients, with no difference in cumulative resolution between DOACs and warfarin. During a median follow-up of 12.5 months, MACE, all-cause death, SSE, and HF rehospitalization occurred in 42.6%, 27.9%, 4.1%, and 13.9% of patients, comparable in warfarin and DOACs groups. Thrombus persistence was associated with a higher risk of HF rehospitalization. Thrombus progression was associated with poor prognosis, with per unit increment in square-root-transformed thrombus-area resulting in a 1.0691-fold increase in MACE risk and a 1.0546-fold increase in death risk. This study suggests that in DCM patients with LV thrombus, DOACs were comparable to warfarin in thrombus resolution and safety profile. Thrombus persistence or progression was associated with an increased risk of HF rehospitalization, MACE, and mortality.

Obesity Paradox in Heart Failure Revisited: Etiology as Effect Modifier.

The prognostic value of overweight/obesity in heart failure (HF) may vary according to HF etiologies. We aim to determine whether body mass index has differential impacts on survival among hospitalized HF patients with varying etiologies. Consecutive hospitalized HF patients between December 2006 and December 2017 were included. Multivariable analyses, including Cox proportional hazard models and restricted cubic splines, were used to investigate the impact of body mass index on mortality by HF etiology. Among the 3,836 patients included (mean age 57.1 years, 28.4% women), 1,475 (38.5%) were identified as having ischemic etiology. Of the remaining 2,361 patients with non-ischemic etiologies, dilated cardiomyopathy (DCM) accounted for 45.6% (n = 1,077). The rest of the patients were uniformly classified as having non-ischemic-non-DCM HF. The unadjusted data demonstrated an adiposity-related survival paradox in HF across all etiologies. However, the paradox holds only among non-ischemic-non-DCM HF patients after multivariate adjustment, wherein overweight patients exhibit the lowest mortality compared with their normal-weight counterparts (adjusted hazard ratio [aHR] 0.69, 95% confidence interval [CI] 0.52 to 0.91), with a nadir in mortality risk at 28.18 kg/m2. Similar survival benefits of overweight were not demonstrated in ischemic or DCM HF patients (ischemic etiology: aHR 1.07, 95% CI 0.84 to 1.36; DCM etiology: aHR 0.97, 95% CI 0.74 to 1.28). In conclusion, being overweight or obese does not confer better survival in HF patients of ischemic or DCM etiology, and the prognostic benefit of being overweight is maintained only in non-ischemic-non-DCM HF patients. Pathophysiologic interpretations are warranted, and whether patients of certain etiologies would benefit from weight reduction needs to be explored.

Machine Learning for Mortality Prediction in Patients With Heart Failure With Mildly Reduced Ejection Fraction.

Background Machine-learning-based prediction models (MLBPMs) have shown satisfactory performance in predicting clinical outcomes in patients with heart failure with reduced and preserved ejection fraction. However, their usefulness has yet to be fully elucidated in patients with heart failure with mildly reduced ejection fraction. This pilot study aims to evaluate the prediction performance of MLBPMs in a heart failure with mildly reduced ejection fraction cohort with long-term follow-up data. Methods and Results A total of 424 patients with heart failure with mildly reduced ejection fraction were enrolled in our study. The primary outcome was all-cause mortality. Two feature selection strategies were introduced for MLBPM development. The "All-in" (67 features) strategy was based on feature correlation, multicollinearity, and clinical significance. The other strategy was the CoxBoost algorithm with 10-fold cross-validation (17 features), which was based on the selection result of the "All-in" strategy. Six MLBPMs with 5-fold cross-validation based on the "All-in" and the CoxBoost algorithm with 10-fold cross-validation strategy were developed by the eXtreme Gradient Boosting, random forest, and support vector machine algorithms. The logistic regression model with 14 benchmark predictors was used as a reference model. During a median follow-up of 1008 (750, 1937) days, 121 patients met the primary outcome. Overall, MLBPMs outperformed the logistic model. The "All-in" eXtreme Gradient Boosting model had the best performance, with an accuracy of 85.4% and a precision of 70.3%. The area under the receiver-operating characteristic curve was 0.916 (95% CI, 0.887-0.945). The Brier score was 0.12. Conclusions The MLBPMs could significantly improve outcome prediction in patients with heart failure with mildly reduced ejection fraction, which would further optimize the management of these patients.

Big Endothelin-1 as a Predictor of Reverse Remodeling and Prognosis in Dilated Cardiomyopathy.

This study aimed to investigate the predictive value of Big endothelin-1(ET-1) for left ventricular reverse remodeling (LVRR) and prognosis in patients with dilated cardiomyopathy (DCM). Patients with DCM and a left ventricular ejection fraction (LVEF) ≤ 50% from 2008 to 2017 were included. LVRR was defined as the LVEF increased by at least 10% or follow-up LVEF increased to at least 50% with a minimum improvement of 5%; meanwhile, the index of left ventricular end-diastolic diameter (LVEDDi) decreased by at least 10% or LVEDDi decreased to ≤33 mm/m2. The composite outcome for prognostic analysis consisted of death and heart transplantations. Of the 375 patients included (median age 47 years, 21.1% female), 135 patients (36%) had LVRR after a median of 14 months of treatment. An independent association was found between Big ET-1 at baseline and LVRR in the multivariate model (OR 0.70, 95% CI 0.55-0.89, p = 0.003, per log increase). Big ET-1, body mass index, systolic blood pressure, diagnosis of type 2 diabetes mellitus (T2DM) and treatment with ACEI/ARB were significant predictors for LVRR after stepwise selection. Adding Big ET-1 to the model improved the discrimination (∆AUC = 0.037, p = 0.042 and reclassification (IDI, 3.29%; p = 0.002; NRI, 35%; p = 0.002) for identifying patients with LVRR. During a median follow-up of 39 (27-68) months, Big ET-1 was also independently associated with the composite outcome of death and heart transplantations (HR 1.45, 95% CI 1.13-1.85, p = 0.003, per log increase). In conclusion, Big ET-1 was an independent predictor for LVRR and had prognostic implications, which might help to improve the risk stratification of patients with DCM.

Hyponatremia and lower normal serum sodium levels are associated with an increased risk of all-cause death in heart failure patients.

AIM: To explore the relationship between the serum sodium level on admission and all-cause mortality in HF patients. DESIGN: A single-center retrospective cohort study. METHODS: Patients hospitalized with HF at the Heart Failure Center, Fuwai Hospital, from November 2008 to November 2018 were enrolled. RESULTS: A total of 3649 patients were included, and the mean sodium level was 137.19 ± 4.36 mmol/L, with a range from 115.6 to 160.9 mmol/L. During a median follow-up of 1101 days, mortality occurred in 1413 (38.7%) hospital survivors. After adjustment for age, sex, and other potential confounders, patients with sodium levels <135 mmol/L (hazard ratio [HR]: 1.67; 95% confidence interval [CI]: 1.29-2.16) and 135-137 mmol/L (HR: 1.34; 95% CI: 1.01-1.78) had an increased risk of all-cause mortality compared to those with sodium levels of 139-141 mmol/L.

Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure.

Background: Afterload-related cardiac performance (ACP), a diagnostic parameter for septic cardiomyopathy, integrates both cardiac performance and vascular effects and could predict prognosis in septic shock. Objectives: We hypothesized that ACP would also correlate with clinical outcomes in patients with chronic heart failure (HF). Design: A retrospective study. Methods: We retrospectively studied consecutive patients with chronic HF who underwent right heart catheterization and established an expected cardiac output-systemic vascular resistance (CO-SVR) curve model in chronic HF for the first time. ACP was calculated as COmeasured/COpredicted × 100%. ACP > 80%, 60% < ACP ⩽ 80%, and ACP ⩽ 60% represented less impaired, mildly impaired, and severely impaired cardiovascular function, respectively. The primary outcome was all-cause mortality, and the secondary outcome was event-free survival. Results: A total of 965 individual measurements from 290 eligible patients were used to establish the expected CO-SVR curve model (COpredicted = 53.468 × SVR -0.799). Patients with ACP ⩽ 60% had higher serum NT-proBNP levels (P < 0.001), lower left ventricular ejection fraction (P = 0.001), and required dopamine more frequently (P < 0.001). Complete follow-up data were available in 263 of 290 patients (90.7%). After multivariate adjustment, ACP remained associated with both primary outcome (hazard ratio (HR) 0.956, 95% confidence interval (CI) 0.927-0.987) and secondary outcome (HR 0.977, 95% CI 0.963-0.992). Patients with ACP ⩽ 60% had the worst prognosis (all P < 0.001). ACP was significantly more discriminating (area under the curve of 0.770) than other conventional hemodynamic parameters in predicting mortality (Delong test, all P < 0.05). Conclusion: ACP is a powerful independent hemodynamic predictor of mortality in patients with chronic HF. ACP and the novel CO-SVR two-dimensional graph could be useful in assessing cardiovascular function and making clinical decisions. Clinical trial registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02664818.

Combined use of right ventricular coupling and pulmonary arterial elastance as a comprehensive stratification approach for right ventricular function.

Right ventricular (RV)-pulmonary arterial uncoupling is the consequence of increased afterload and/or decreased RV contractility. However, the combination of arterial elastance (Ea) and end-systolic elastance (Ees)/Ea ratio to assess RV function is unclear. We hypothesized that the combination of both could comprehensively assess RV function and refine risk stratification. The median Ees/Ea ratio (0.80) and Ea (0.59 mmHg/mL) were used to classify 124 patients with advanced heart failure into four groups. RV systolic pressure differential was defined as end-systolic pressure (ESP) minus beginning-systolic pressure (BSP). Patients among different subsets showed dissimilar New York Heart Association functional class (V = 0.303, p = 0.010), distinct tricuspid annular plane systolic excursion/ pulmonary artery systolic pressure (mm/mmHg; 0.65 vs. 0.44 vs. 0.32 vs. 0.26, p < 0.001), and diverse prevalence of pulmonary hypertension (33.3% vs. 35% vs. 90% vs. 97.6%, p < 0.001). By multivariate analysis, Ees/Ea ratio (hazard ratio [HR] 0.225, p = 0.004) and Ea (HR 2.194, p = 0.003) were independently associated with event-free survival. Patients with Ees/Ea ratio greater than or equal to 0.80 and Ea less than 0.59 mmHg/mL had better outcomes (p < 0.05). In patients with Ees/Ea ratio greater than or equal to 0.80, those with Ea greater than or equal to 0.59 mmHg/mL had a higher adverse outcome risk (p < 0.05). Ees/Ea ratio less than or equal to 0.80 was associated with adverse outcomes, even when Ea was less than 0.59 mmHg/mL (p < 0.05). Approximately 86% of patients with ESP-BSP greater than 5 mmHg had an Ees/Ea ratio less than or equal to 0.80 and/or an Ea greater than or equal to 0.59 mmHg/mL (V = 0.336, p = 0.001). Combined use of Ees/Ea ratio and Ea could be a comprehensive approach to assessing RV function and predicting outcomes. An exploratory analysis demonstrated that Ees/Ea ratio and Ea might be roughly estimated based on RV systolic pressure differential.

Estimated plasma volume status adds prognostic value to hemodynamic parameters in advanced heart failure.

BACKGROUND: Estimated plasma volume status (ePVS) is a marker of intravascular congestion and has prognostic value in patients with heart failure (HF). The elevation of intracardiac filling pressures is defined as hemodynamic congestion and is also associated with poor prognosis. However, the relationship between intravascular congestion and hemodynamic congestion remains unclear. This study sought to explore the correlation between ePVS and hemodynamic parameters and determine the association between ePVS and clinical outcomes in patients with advanced HF. METHODS: Patients with advanced HF underwent right heart catheterization (RHC) for hemodynamic profiles. The sum of right atrial pressure (RAP) and pulmonary arterial wedge pressure (PAWP) > 30 mmHg was considered to present with hemodynamic congestion. Blood tests were conducted within 24 h of RHC. We calculated ePVS using the Strauss-derived Duarte formula. The primary outcome was all-cause mortality. RESULTS: A total of 195 patients were divided into two groups based on the cut-off value of ePVS (4.08 dL/g) calculated from receiver operating characteristic analysis. Patients with ePVS > 4.08 dL/g were more likely to present with wet rales (21.2% vs. 9.9%, P = 0.032) and had a higher risk of death (HR 4.748, 95% CI 2.385-9.453), regardless of whether RAP + PAWP was normal or elevated (all P < 0.05). Hemodynamic parameters and ePVS were not correlated (all P > 0.05). High ePVS significantly improved the predictive value beyond the clinical plus hemodynamic prognostic model (area under the curve of 0.844, Delong test, P = 0.024). CONCLUSION: ePVS could additionally add prognostic value to hemodynamic parameters in advanced heart failure, although not correlated with hemodynamic parameters.

sST2 and Big ET-1 as Alternatives of Multi-Biomarkers Strategies for Prognosis Evaluation in Patients Hospitalized with Heart Failure.

Objective: To identify biomarkers with independent prognostic value and investigate the prognostic value of multiple biomarkers in combination in patients hospitalized with heart failure. Methods: A total of 884 consecutive patients hospitalized with heart failure from 2015 to 2017 were enrolled. Twelve biomarkers were measured on admission, and the relationships between biomarkers and outcomes were assessed. Results: During the median follow-up of 913 days, 291 patients (32.9%) suffered from primary endpoint events. Soluble suppression of tumorigenicity-2 (sST2) (per log [unit] increase, adjusted HR [95% CI]: 1.39 [1.13,1.72], P = 0.002) and big endothelin-1 (big ET-1) (per log [unit] increase, adjusted HR [95% CI]: 1.56 [1.23,1.97], P < 0.001) remained independent predictors of primary endpoint event after adjusting for other predictors including N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT). Both sST2 (C-statistic: 0.810 vs 0.801, P = 0.005, and 0.832 vs 0.826, P = 0.024, respectively) and big ET-1 (C-statistic: 0.829 vs 0.801, P = 0.001, and 0.843 vs 0.826, P < 0.001, respectively) significantly improved the predictive value for primary endpoint event at 1 year and 3 years. However, only big ET-1 (C-statistic: 0.852 vs 0.846, P = 0.014) significantly improved the predictive value at 3 months when added to clinical predictors and known biomarkers. According to the number of elevated biomarkers (including NT-proBNP, hs-cTnT, sST2, and big ET-1), patients with three or more elevated biomarkers had a higher risk of primary endpoint event compared to those with two elevated biomarkers (P = 0.001), as well as in patients with two elevated biomarkers compared to those with one elevated biomarker (P = 0.004). However, the risk of primary endpoint event was comparable between patients with one elevated biomarker and those with no elevated biomarker (P = 0.582). Conclusion: Multiple biomarkers in combination could provide a better prognostic value than a single biomarker. sST2 and big ET-1 could act as alternatives of multi-biomarkers strategies for prognosis evaluation beyond NT-proBNP and hs-cTnT in patients hospitalized with heart failure.

Improved Prognostic Performance of Right Atrial Pressure-Corrected Cardiac Power Output in Pulmonary Hypertension and Heart Failure with Preserved Ejection Fraction.

Cardiac power output (CPO) is a powerful predictor of adverse outcomes in heart failure (HF). However, the original formula of CPO included the difference between mean arterial pressure and right atrial pressure (RAP). The prognostic performance of RAP-corrected CPO (CPORAP) remains unknown in heart failure with preserved ejection fraction (HFpEF). We studied 101 HF patients with a left ventricular ejection fraction > 40% who had pulmonary hypertension due to left heart disease. CPORAP was significantly more discriminating than CPO in predicting outcomes (Delong test, P = 0.004). Twenty-five (24.8%) patients presented with dis-concordantly high CPORAP and low CPO when stratified by the identified CPORAP threshold of 0.547 W and the accepted CPO threshold of 0.803 W. These patients had the lowest RAP, and their cumulative incidence was comparable with those with concordantly high CPO and CPORAP (P = 0.313). CPORAP might identify patients with right ventricular involvement, thereby providing better prognostic performance than CPO in HFpEF.

Clinical characteristics and outcomes of patients hospitalized with heart failure with preserved ejection fraction and low NT-proBNP levels.

The aim of this study was to investigate the clinical characteristics and prognosis of patients hospitalized with heart failure with preserved ejection fraction (HFpEF) and low N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. Seven hundred ninety consecutive patients hospitalized with HFpEF from 2006 to 2017 were enrolled. Clinical characteristics and outcomes were compared between low NT-proBNP group (<300 ng/L) and elevated NT-proBNP group (≥300 ng/L). 108 HFpEF patients (13.7%) presented with low NT-proBNP levels. Age, body mass index, atrial fibrillation, New York Heart Association functional class, and albumin were independent predictors of low NT-proBNP levels in HFpEF patients. During the median follow-up duration of 1103 days, 11 patients (10.2%) in low NT-proBNP group suffered from primary endpoint event. Elevated NT-proBNP group had a higher risk of all-cause death or heart transplantation than low NT-proBNP group (adjusted HR [95%CI]: 2.36 [1.24,4.49], P = .009). Stratified analyses showed that the association between NT-proBNP (elevated NT-proBNP group vs low NT-proBNP group) and risk of all-cause death or heart transplantation was stronger in non-atrial fibrillation patients than in atrial fibrillation patients (P value for interaction = .025). Furthermore, the associations between NT-proBNP and risk of all-cause death or heart transplantation were stronger in younger and male patients than in older and female patients. However, both subgroups only reached borderline significant (P values for interaction = .062 and .084, respectively). Our findings suggest that low NT-proBNP levels were common in patients hospitalized with HFpEF. Patients with HFpEF and low NT-proBNP levels had a better prognosis than those with elevated NT-proBNP levels, particularly in younger, male, and non-atrial fibrillation patients.

Inflammatory biomarkers in assessing severity and prognosis of immune checkpoint inhibitor-associated cardiotoxicity.

AIMS: Inflammatory biomarkers, including CRP, the neutrophil-to-lymphocyte ratio (NLR), and the neutrophil-to-eosinophil ratio (NER), may predict outcomes in cancer. However, their value in immune checkpoint inhibitor (ICI) therapy-associated cardiotoxicity remains elusive. We aimed to characterize the relationship of inflammatory markers with severity of ICI-related cardiotoxicities (iRCs) and prognosis among patients with iRCs. METHODS: Patients who were diagnosed with iRCs between January 2019 and December 2021 were retrospectively enrolled and were dichotomized based on iRC severity into low-grade (grade 1-2) vs. high-grade (grade 3-4) groups. RESULTS: Forty-seven patients were included. The median time-to-event from first ICI infusion to onset of iRCs was 35 days (IQR: 19.0-65.5 days). When compared with respective baseline values, cardiac biomarkers and inflammatory markers were significantly elevated at onset of iRCs. Compared with low-grade iRCs, NER at iRC onset was significantly increased among patients with high-grade iRCs (Group × Time, P < 0.01). When grouped by the median NER (184.33) at iRC onset, NER ≥ 184.33 was associated with high-grade iRCs (OR: 10.77, P < 0.05) and had a 36.3% increased mortality compared to the lower NER group (HR: 2.67, P < 0.05). CONCLUSIONS: In patients who develop iRCs, NER is significantly elevated at iRC onset, and higher NER correlates with greater iRC severity and higher mortality. Larger datasets are needed to validate these findings.

Pyroptosis: Role and Mechanisms in Cardiovascular Disease.

Cardiovascular disease (CVD) is a common disease that poses a huge threat to human health. Irreversible cardiac damage due to cardiomyocyte death and lack of regenerative capacity under stressful conditions, ultimately leading to impaired cardiac function, is the leading cause of death worldwide. The regulation of cardiomyocyte death plays a crucial role in CVD. Previous studies have shown that the modes of cardiomyocyte death include apoptosis and necrosis. However, another new form of death, pyroptosis, plays an important role in CVD pathogenesis. Pyroptosis induces the amplification of inflammatory response, increases myocardial infarct size, and accelerates the occurrence of cardiovascular disease, and the control of cardiomyocyte pyroptosis holds great promise for the treatment of cardiovascular disease. In this paper, we summarized the characteristics, occurrence and regulation mechanism of pyroptosis are reviewed, and also discussed its role and mechanisms in CVD, such as atherosclerosis (AS), myocardial infarction (MI), arrhythmia and cardiac hypertrophy.