A machine learning approach to classifying New York Heart Association (NYHA) heart failure.

According to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional Classification. Each NYHA class describes a patient's symptoms while performing physical activities, delivering a strong indicator of the heart performance. In each case, a NYHA class is individually determined routinely based on the subjective assessment of the treating physician. However, such diagnosis can suffer from bias, eventually affecting a valid assessment. To tackle this issue, we take advantage of the machine learning approach to develop a decision-tree, along with a set of decision rules, which can serve as additional blinded investigator tool to make unbiased assessment. On a dataset containing 434 observations, the supervised learning approach was initially employed to train a Decision Tree model. In the subsequent phase, ensemble learning techniques were utilized to develop both the Voting Classifier and the Random Forest model. The performance of all models was assessed using 10-fold cross-validation with stratification.The Decision Tree, Random Forest, and Voting Classifier models reported accuracies of 76.28%, 96.77%, and 99.54% respectively. The Voting Classifier led in classifying NYHA I and III with 98.7% and 100% accuracy. Both Random Forest and Voting Classifier flawlessly classified NYHA II at 100%. However, for NYHA IV, Random Forest achieved a perfect score, while the Voting Classifier reported 90%. The Decision Tree showed the least effectiveness among all the models tested. In our opinion, the results seem satisfactory in terms of their supporting role in clinical practice. In particular, the use of a machine learning tool could reduce or even eliminate the bias in the physician's assessment. In addition, future research should consider testing other variables in different datasets to gain a better understanding of the significant factors affecting heart failure.

Evaluation of the relationship between end-tidal carbon dioxide level and heart failure classification.

OBJECTIVE: Heart failure is a disease with cardiac dysfunction, and its morbidity and mortality are associated with the degree of dysfunction. The New York Heart Association classifies the heart failure stages based on the severity of symptoms and physical activity. End-tidal carbon dioxide refers to the level of carbon dioxide that a person exhales with each breath. End-tidal carbon dioxide levels can be used in many clinical conditions such as heart failure, asthma, and chronic obstructive pulmonary disease. The aim of the study was to reveal the relationship between end-tidal carbon dioxide levels and the New York Heart Association classification of heart failure stages. METHODS: This study was conducted at Kahramanmaras Sütçü Imam University Faculty of Medicine Adult Emergency Department between 01/03/2019 and 01/09/2019. A total of 80 patients who presented to the emergency department with a history of heart failure or were diagnosed with heart failure during admission were grouped according to the New York Heart Association classification of heart failure stages. The laboratory parameters, ejection fraction values, and end-tidal carbon dioxide levels of the patients were measured and recorded in the study forms. RESULTS: End-tidal carbon dioxide levels and ejection fraction values were found to be significantly lower in the stage 4 group compared to the other groups. Furthermore, pro-B-type natriuretic peptide (BNP) values were found to be significantly higher in stage 4 group compared to the other groups. CONCLUSION: It was concluded that end-tidal carbon dioxide levels could be used together with pro-BNP and ejection fraction values in determining the severity of heart failure.

Characteristics and outcomes for patients with heart failure diagnosed according to the universal definition and classification of heart failure. Data from a single-center registry.

BACKGROUND: There are no data on the characteristics and outcomes for patients with heart failure (HF) with reduced (HFrEF), mildly reduced (HFmrEF), and preserved (HFpEF) ejection fraction diagnosed according to the universal definition and classification of HF. AIMS: We used the universal HF definition to compare baseline characteristics, hospital readmission and mortality rates in individuals with HFrEF, HFmrEF, and HFpEF diagnosed retrospectively. RESULTS: The study was designed as a single-center retrospective analysis of all consecutive 40732 hospital admissions between 2013 and 2021 in a tertiary department of cardiology. All patients with HF, defined according to the universal definition and classification of HF, were identified. The study included 8471 patients with a mean age of 65.1 (12.8) years, of whom 2823 (33.3%) were females. Most individuals had a prior diagnosis of HF (76.3%) and elevated N-terminal pro-B-type natriuretic peptide levels (99.0%) with a median of 1548 (629-3786) pg/ml. Mean ejection fraction (EF) was 36.2 (14.9)%. The median follow-up was 39.1 (18.1-70.5) months. The most frequent type of HF was HFrEF (n = 4947; 58.4%), followed by HFpEF (n = 1138; 28.2%) and HFmrEF (n = 2386; 13.4%). Urgent HF readmissions and all-cause deaths were highest in HFrEF (40.8% and 42.7%), followed by HFmrEF (25.4% and 31.5%) and HFpEF (15.2% and 23.8%, respectively). CONCLUSIONS: The highest rates of urgent HF readmissions and all-cause mortality were observed in patients with HFrEF, followed by HFmrEF and HFpEF. In all HF groups, the all-cause mortality rate was higher than the rates of urgent HF readmission.

Malnutrition outweighs the effect of the obesity paradox.

BACKGROUND: High body mass index (BMI) is paradoxically associated with better outcome in patients with heart failure (HF). The effects of malnutrition on this phenomenon across the whole spectrum of HF have not yet been studied. METHODS: In this observational study, patients were classified by guideline diagnostic criteria to one of three heart failure subtypes: reduced (HFrEF), mildy reduced (HFmrEF), and preserved ejection fraction (HFpEF). Data were retrieved from the Viennese-community healthcare provider network between 2010 and 2020. The relationship between BMI, nutritional status reflected by the prognostic nutritional index (PNI), and survival was assessed. Patients were classified by the presence (PNI < 45) or absence (PNI ≥ 45) of malnutrition. RESULTS: Of the 11 995 patients enrolled, 6916 (58%) were classified as HFpEF, 2809 (23%) HFmrEF, and 2270 HFrEF (19%). Median age was 70 years (IQR 61-77), and 67% of patients were men. During a median follow-up time of 44 months (IQR 19-76), 3718 (31%) of patients died. After adjustment for potential confounders, BMI per IQR increase was independently associated with better survival (adj. hazard ratio [HR]: 0.91 [CI 0.86-0.97], P = 0.005), this association remained significant after additional adjustment for HF type (adj. HR: 0.92 [CI 0.86-0.98], P = 0.011). PNI was available in 10 005 patients and lowest in HFrEF patients. PNI was independently associated with improved survival (adj. HR: 0.96 [CI 0.95-0.97], P < 0.001); additional adjustment for HF type yielded similar results (adj. HR: 0.96 [CI 0.96-0.97], P < 0.001). Although obese patients experienced a 30% risk reduction, malnutrition at least doubled the risk for death with 1.8- to 2.5-fold higher hazards for patients with poor nutritional status compared with normal weight well-nourished patients. CONCLUSIONS: The obesity paradox seems to be an inherent characteristic of HF regardless of phenotype and nutritional status. Yet malnutrition significantly changes trajectory of outcome with regard to BMI alone: obese patients with malnutrition have a considerably worse outcome compared with their well-nourished counterparts, outweighing protective effects of high BMI alone. In this context, routine recommendation towards weight loss in patients with obesity and HF should generally be made with caution and focus should be shifted on nutritional status.

Phenomapping a Novel Classification System for Patients With Destination Therapy Left Ventricular Assist Devices.

Patients with continuous flow destination therapy (DT) left ventricular assist devices (LVAD) comprise a heterogeneous population. We hypothesized that phenotypic clustering of individuals with DT LVADs by their implantation characteristics will be associated with different long-term risk profiles. We analyzed 5,999 patients with continuous flow DT LVADs in Interagency Registry for Mechanically Assisted Circulatory Support using 18 continuous variable baseline characteristics. We Z-transformed the variables and applied a Gaussian finite mixture model to perform unsupervised clustering resulting in identification of 4 phenogroups. Survival analyses considered the competing risk for cumulative incidence of transplant or the composite end point of death or heart transplant where appropriate. Phenogroup 1 (n = 1,163, 19%) was older (71 years) and primarily white (81%). Phenogroups 2 (n = 648, 11%) and 3 (n = 3,671, 61%) were of intermediate age (70 and 62 years), weight (85 and 87 kg), and ventricular size. Phenogroup 4 (n = 517, 9%) was younger (40 years), heavier (108 kg), and more racially diverse. The cumulative incidence of death, heart transplant, bleeding, LVAD malfunction, and LVAD thrombosis differed among phenogroups. The highest incidence of death and the lowest rate of heart transplant was seen in phenogroup 1 (p <0.001). For adverse outcomes, phenogroup 4 had the lowest incidence of bleeding, whereas LVAD device thrombosis and malfunction were lowest in phenogroup 1 (p <0.001 for all). Finally, the incidence of stroke, infection, and renal dysfunction were not statistically different. In conclusion, the present unsupervised machine learning analysis identified 4 phenogroups with different rates of adverse outcomes and these findings underscore the influence of phenotypic heterogeneity on post-LVAD implantation outcomes.

Heart failure clinical care analysis uncovers risk reduction opportunities for preserved ejection fraction subtype.

Heart failure (HF) has no cure and, for HF with preserved ejection fraction (HFpEF), no life-extending treatments. Defining the clinical epidemiology of HF could facilitate earlier identification of high-risk individuals. We define the clinical epidemiology of HF subtypes (HFpEF and HF with reduced ejection fraction [HFrEF]), identified among 2.7 million individuals receiving routine clinical care. Differences in patterns and rates of accumulation of comorbidities, frequency of hospitalization, use of specialty care, were defined for each HF subtype. Among 28,156 HF cases, 8322 (30%) were HFpEF and 11,677 (42%) were HFrEF. HFpEF was the more prevalent subtype among older women. 177 Phenotypes differentially associated with HFpEF versus HFrEF. HFrEF was more frequently associated with diagnoses related to ischemic cardiac injury while HFpEF was associated more with non-cardiac comorbidities and HF symptoms. These comorbidity patterns were frequently present 3 years prior to a HFpEF diagnosis. HF subtypes demonstrated distinct patterns of clinical co-morbidities and disease progression. For HFpEF, these comorbidities were often non-cardiac and manifested prior to the onset of a HF diagnosis. Recognizing these comorbidity patterns, along the care continuum, may present a window of opportunity to identify individuals at risk for developing incident HFpEF.

Association Between Diagnosis Code Expansion and Changes in 30-Day Risk-Adjusted Outcomes for Cardiovascular Diseases.

BACKGROUND In January 2011, Centers for Medicare and Medicaid Services expanded the number of inpatient diagnosis codes from 9 to 25, which may influence comorbidity counts and risk-adjusted outcome rates for studies spanning January 2011. This study examines the association between (1) limiting versus not limiting diagnosis codes after 2011, (2) using inpatient-only versus inpatient and outpatient data, and (3) using logistic regression versus the Centers for Medicare and Medicaid Services risk-standardized methodology and changes in risk-adjusted outcomes. METHODS AND RESULTS Using 100% Medicare inpatient and outpatient files between January 2009 and December 2013, we created 2 cohorts of fee-for-service beneficiaries aged ≥65 years. The acute myocardial infarction cohort and the heart failure cohort had 578 728 and 1 595 069 hospitalizations, respectively. We calculate comorbidities using (1) inpatient-only limited diagnoses, (2) inpatient-only unlimited diagnoses, (3) inpatient and outpatient limited diagnoses, and (4) inpatient and outpatient unlimited diagnoses. Across both cohorts, International Classification of Diseases, Ninth Revision (ICD-9) diagnoses and hierarchical condition categories increased after 2011. When outpatient data were included, there were no significant differences in risk-adjusted readmission rates using logistic regression or the Centers for Medicare and Medicaid Services risk standardization. A difference-in-differences analysis of risk-adjusted readmission trends before versus after 2011 found that no significant differences between limited and unlimited models for either cohort. CONCLUSIONS For studies that span 2011, researchers should consider limiting the number of inpatient diagnosis codes to 9 and/or including outpatient data to minimize the impact of the code expansion on comorbidity counts. However, the 2011 code expansion does not appear to significantly affect risk-adjusted readmission rate estimates using either logistic or risk-standardization models or when using or excluding outpatient data.

Haemodynamic-guided management of heart failure (GUIDE-HF): a randomised controlled trial.

BACKGROUND: Previous studies have suggested that haemodynamic-guided management using an implantable pulmonary artery pressure monitor reduces heart failure hospitalisations in patients with moderately symptomatic (New York Heart Association [NYHA] functional class III) chronic heart failure and a hospitalisation in the past year, irrespective of ejection fraction. It is unclear if these benefits extend to patients with mild (NYHA functional class II) or severe (NYHA functional class IV) symptoms of heart failure or to patients with elevated natriuretic peptides without a recent heart failure hospitalisation. This trial was designed to evaluate whether haemodynamic-guided management using remote pulmonary artery pressure monitoring could reduce heart failure events and mortality in patients with heart failure across the spectrum of symptom severity (NYHA funational class II-IV), including those with elevated natriuretic peptides but without a recent heart failure hospitalisation. METHODS: The randomised arm of the haemodynamic-GUIDEed management of Heart Failure (GUIDE-HF) trial was a multicentre, single-blind study at 118 centres in the USA and Canada. Following successful implantation of a pulmonary artery pressure monitor, patients with all ejection fractions, NYHA functional class II-IV chronic heart failure, and either a recent heart failure hospitalisation or elevated natriuretic peptides (based on a-priori thresholds) were randomly assigned (1:1) to either haemodynamic-guided heart failure management based on pulmonary artery pressure or a usual care control group. Patients were masked to their study group assignment. Investigators were aware of treatment assignment but did not have access to pulmonary artery pressure data for control patients. The primary endpoint was a composite of all-cause mortality and total heart failure events (heart failure hospitalisations and urgent heart failure hospital visits) at 12 months assessed in all randomly assigned patients. Safety was assessed in all patients. A pre-COVID-19 impact analysis for the primary and secondary outcomes was prespecified. This study is registered with ClinicalTrials.gov, NCT03387813. FINDINGS: Between March 15, 2018, and Dec 20, 2019, 1022 patients were enrolled, with 1000 patients implanted successfully, and follow-up was completed on Jan 8, 2021. There were 253 primary endpoint events (0·563 per patient-year) among 497 patients in the haemodynamic-guided management group (treatment group) and 289 (0·640 per patient-year) in 503 patients in the control group (hazard ratio [HR] 0·88, 95% CI 0·74-1·05; p=0·16). A prespecified COVID-19 sensitivity analysis using a time-dependent variable to compare events before COVID-19 and during the pandemic suggested a treatment interaction (pinteraction=0·11) due to a change in the primary endpoint event rate during the pandemic phase of the trial, warranting a pre-COVID-19 impact analysis. In the pre-COVID-19 impact analysis, there were 177 primary events (0·553 per patient-year) in the intervention group and 224 events (0·682 per patient-year) in the control group (HR 0·81, 95% CI 0·66-1·00; p=0·049). This difference in primary events almost disappeared during COVID-19, with a 21% decrease in the control group (0·536 per patient-year) relative to pre-COVID-19, virtually no change in the treatment group (0·597 per patient-year), and no difference between groups (HR 1·11, 95% CI 0·80-1·55; p=0·53). The cumulative incidence of heart failure events was not reduced by haemodynamic-guided management (0·85, 0·70-1·03; p=0·096) in the overall study analysis but was significantly decreased in the pre-COVID-19 impact analysis (0·76, 0·61-0·95; p=0·014). 1014 (99%) of 1022 patients had freedom from device or system-related complications. INTERPRETATION: Haemodynamic-guided management of heart failure did not result in a lower composite endpoint rate of mortality and total heart failure events compared with the control group in the overall study analysis. However, a pre-COVID-19 impact analysis indicated a possible benefit of haemodynamic-guided management on the primary outcome in the pre-COVID-19 period, primarily driven by a lower heart failure hospitalisation rate compared with the control group. FUNDING: Abbott.

SGLT2 inhibitors: What role do they play in heart failure with reduced ejection fraction?

ABSTRACT: Sodium-glucose cotransporter-2 (SGLT2) inhibitors can decrease risk for heart failure in patients with type 2 diabetes and can decrease risk of major cardiovascular events in patients with heart failure (HF) and diabetes. Specific SGLT2 inhibitors can also decrease major cardiovascular events in patients with HF only.

Classification of Heart Failure According to Ejection Fraction: JACC Review Topic of the Week.

The recent U.S. Food and Drug Administration expanded indication for sacubitril/valsartan introduces a new potential taxonomy for heart failure, with no reference to "preserved" ejection fraction but referring to "below normal" ejection fraction as those most likely to benefit. This review summarizes the evolution of nomenclature in heart failure and examines evidence showing that patients with ejection fraction in the "mid range" may benefit from neurohormonal blockade similar to those with more severely reduced (<40%) ejection fraction. Furthermore, prominent sex differences have been observed wherein the benefit of neurohormonal blockade appears to extend to a higher ejection fraction range in women compared to men. Based on emerging evidence, revised nomenclature is proposed defining heart failure with "reduced" (<40%), "mildly reduced," and "normal" (≥55% in men, ≥60% in women) ejection fraction. Such nomenclature signals consideration of potentially beneficial therapies in the largest group of patients with reduced or mildly reduced ejection fraction.

Epidemiology of Heart Failure: A Contemporary Perspective.

Designated as an emerging epidemic in 1997, heart failure (HF) remains a major clinical and public health problem. This review focuses on the most recent studies identified by searching the Medline database for publications with the subject headings HF, epidemiology, prevalence, incidence, trends between 2010 and present. Publications relevant to epidemiology and population sciences were retained for discussion in this review after reviewing abstracts for relevance to these topics. Studies of the epidemiology of HF over the past decade have improved our understanding of the HF syndrome and of its complexity. Data suggest that the incidence of HF is mostly flat or declining but that the burden of mortality and hospitalization remains mostly unabated despite significant ongoing efforts to treat and manage HF. The evolution of the case mix of HF continues to be characterized by an increasing proportion of cases with preserved ejection fraction, for which established effective treatments are mostly lacking. Major disparities in the occurrence, presentation, and outcome of HF persist particularly among younger Black men and women. These disturbing trends reflect the complexity of the HF syndrome, the insufficient mechanistic understanding of its various manifestations and presentations and the challenges of its management as a chronic disease, often integrated within a context of aging and multimorbidity. Emerging risk factors including omics science offer the promise of discovering new mechanistic pathways that lead to HF. Holistic management approaches must recognize HF as a syndemic and foster the implementation of multidisciplinary approaches to address major contributors to the persisting burden of HF including multimorbidity, aging, and social determinants of health.

Comparison of New York Heart Association Class and Patient-Reported Outcomes for Heart Failure With Reduced Ejection Fraction.

Importance: It is unclear how New York Heart Association (NYHA) functional class compares with patient-reported outcomes among patients with heart failure (HF) in contemporary US clinical practice. Objective: To characterize longitudinal changes and concordance between NYHA class and the Kansas City Cardiomyopathy Questionnaire Overall Summary Score (KCCQ-OS), and their associations with clinical outcomes. Design, Setting, and Participants: This cohort study included 2872 US outpatients with chronic HF with reduced ejection fraction across 145 practices enrolled in the CHAMP-HF registry between December 2015 and October 2017. All patients had complete NYHA class and KCCQ-OS data at baseline and 12 months. Longitudinal changes and correlations between the 2 measure were examined. Multivariable models landmarked at 12 months evaluated associations between improvement in NYHA and KCCQ-OS from baseline to 12 months with clinical outcomes occurring from months 12 through 24. Statistical analyses were performed from March to August 2020. Exposure: Change in health status, as defined by 12-month change in NYHA class or KCCQ-OS. Main Outcomes and Measures: All-cause mortality, HF hospitalization, and mortality or HF hospitalization. Results: In total, 2872 patients were included in this analysis (median [interquartile range] age, 68 [59-75] years; 872 [30.4%] were women; and 2156 [75.1%] were of White race). At baseline, 312 patients (10.9%) were NYHA class I, 1710 patients (59.5%) were class II, 804 patients (28.0%) were class III, and 46 patients (1.6%) were class IV. For KCCQ-OS, 1131 patients (39.4%) scored 75 to 100 (best health status), 967 patients (33.7%) scored 50 to 74, 612 patients (21.3%) scored 25 to 49, and 162 patients (5.6%) scored 0 to 24 (worst health status). At 12 months, 1002 patients (34.9%) had a change in NYHA class (599 [20.9%] with improvement; 403 [14.0%] with worsening) and 2158 patients (75.1%) had a change of 5 or more points in KCCQ-OS (1388 [48.3%] with improvement; 770 [26.8%] with worsening). The most common trajectory for NYHA class was no change (1870 [65.1%]), and the most common trajectory for KCCQ-OS was an improvement of at least 10 points (1047 [36.5%]). After adjustment, improvement in NYHA class was not associated with subsequent clinical outcomes, whereas an improvement of 5 or more points in KCCQ-OS was independently associated with decreased mortality (hazard ratio, 0.59; 95% CI, 0.44-0.80; P < .001) and mortality or HF hospitalization (hazard ratio, 0.73; 95% CI, 0.59-0.89; P = .002). Conclusions and Relevance: Findings of this cohort study suggest that, in contemporary US clinical practice, compared with NYHA class, KCCQ-OS is more sensitive to clinically meaningful changes in health status over time. Changes in KCCQ-OS may have more prognostic value than changes in NYHA class.

Revisiting and Implementing the Weber and Ventilatory Functional Classifications in Heart Failure by Cardiopulmonary Imaging Phenotyping.

Background In heart failure, the exercise gas exchange Weber (A to D) and ventilatory classifications (VC-1 to VC-4) historically define disease severity and prognosis. However, their applications in the modern heart failure population of any left ventricular ejection fraction combined with hemodynamics are undefined. We aimed at revisiting and implementing these classifications by cardiopulmonary exercise testing imaging. Methods and Results 269 patients with heart failure with reduced (n=105), mid-range (n=88) and preserved (n=76) ejection fraction underwent cardiopulmonary exercise testing imaging, primarily assessing the cardiac output (CO), mitral regurgitation, and mean pulmonary arterial pressure (mPAP)/CO slope. Within both classes, a progressively lower exercise CO, higher mPAP/CO slopes, and mitral regurgitation (P<0.01 all) were observed. After adjustment for age and sex, Cox proportional hazard regression analyses showed that Weber (hazard ratio [HR], 2.9; 95% CI, 1.8-4.7; P<0.001) and ventilatory classes (HR, 1.4; 95% CI, 1.1-2.0; P=0.017) were independently associated with outcome. The best stratification was observed when combining Weber (A/B or C/D) with severe ventilation inefficiency (VC-4) (HR, 2.7; 95% CI, 1.6-4.8; P<0.001). At multivariable analysis the best hemodynamic determinants of peak oxygen consumption and ventilation to carbon dioxide production slope were CO (ß-coefficient, 0.72±0.16; P<0.001) and mPAP/CO slope (ß-coefficient, 0.72±0.16; P<0.001), respectively. Conclusions In the contemporary heart failure population, the Weber and ventilatory classifications maintain their prognostic ability, especially when combined. Exercise CO and mPAP/CO slope are the best predictors of peak oxygen consumption and ventilation to carbon dioxide production slope classifications representing the main targets of interventions to impact functional class and, likely, event rate.

Evidence-Based Management of Acute Heart Failure.

Acute heart failure (AHF) is a complex, heterogeneous, clinical syndrome with high morbidity and mortality, incurring significant health care costs. Patients transition from home to the emergency department, the hospital, and home again and require decisions surrounding diagnosis, treatment, and prognosis at each step of the way. The purpose of this review is to examine the epidemiology, etiology, and classifications of AHF and specifically focus on practical information relevant to the clinician. We examine the mechanisms of decompensation relevant to clinical presentations-including precipitating factors, neuroendocrine interactions, and inflammation-along with how consideration of these factors may help select therapies for an individual patient. The prevalence and significance of end-organ manifestations such as renal, gastrointestinal, respiratory, and neurologic manifestations are discussed. We also highlight how the development of renal dysfunction relates to the choice of a variety of diuretics that may be useful in specific circumstances and review guideline-directed medical therapy. We discuss the practical use (and pitfalls) of a variety of evidence-based clinical scoring criteria available to risk stratify patients with AHF. Finally, evidence-based management of AHF is discussed, including both pharmacologic and nonpharmacologic therapies, including the lack of evidence for using old and new vasodilators and the recent evidence regarding initiation of newer therapies in hospital. Overall, we suggest that clinicians consider implementing the newer data in AHF and subject existing practice patterns and treatments to the same rigour as new therapies.

Differences in clinical characteristics and outcome of de novo heart failure compared to acutely decompensated chronic heart failure - systematic review and meta-analysis.

BACKGROUND: Recent evidence showed that the characteristics and outcome of those with de novo heart failure (HF) and acutely decompensated chronic heart failure (ADCHF) were different. We aimed to perform a comprehensive search on the clinical characteristics and outcome of patients with de novo HF and ADCHF. METHODS: We performed a comprehensive search on de novo/new onset acute HF vs ADCHF from inception up until December 2019. RESULTS: There were 38320 patients from 15 studies. De novo HF were younger and, had less prevalent hypertension, diabetes mellitus, ischaemic heart disease, chronic obstructive pulmonary disease, atrial fibrillation, and history of stroke/transient ischaemic attack compared to ADCHF. Five studies showed a lower NT-proBNP in de novo HF patients, while one study showed no difference. Valvular heart disease as aetiology of heart failure was less frequent in de novo HF, and upon sensitivity analysis, hypertensive heart disease was more frequent in de novo HF. As for precipitating factors, ACS (OR 2.42; I2:89%) was more frequently seen in de novo HF, whereas infection was less frequently (OR 0.69; I2:32%) in ADCHF. De novo HF was associated with a significantly lower 3-month mortality (OR 0.63; I2:91%) and 1-year (OR 0.59; I2:59%) mortality. Meta-regression showed that 1-year mortality did not significantly vary with age (p = .106), baseline ejection fraction (p = .703), or HF reduced ejection fraction (p = .262). CONCLUSION: Risk factors, aetiology, and precipitating factors of HF in de novo and ADCHF differ. De novo HF also had lower 1-year mortality and 3-month mortality compared to ADCHF.

External validation of the ACUTE HF score in patients hospitalized for acute decompensated heart failure.

OBJECTIVE: Recently, the ACUTE HF score has been developed as a new tool for predicting short and long term mortality in patients with acute heart failure (AHF). However, this. score has not yet been validated externally. The present study aimed to investigate the prognostic value of ACUTE HF score in a different patient cohort. METHODS: We retrospectively enrolled all consecutive adult patients hospitalized due to AHF between January 2016 and January 2019. The ACUTE HF score is calculated by 7 different variables including age, creatinine, non-invasive ventilation, history of stroke or transient ischemic attack, left ventricular systolic function, mitral regurgitation and history of hospitalization.The primary endpoint of the study was in-hospital mortality. RESULTS: A total of 418 AHF patients (mean age 70.2 ±â€¯11.3 years, 52% male) were included, and 26 (6.2%) patients died during the in-hospital course. Patients in the study were divided into three groups according to ACUTE HF score: low-risk (<1.5, n = 210), intermediate-risk (1.5-3, n = 50), and high-risk groups (>3, n = 158). The multivariate analysis showed that the ACUTE HF score was an independent predictor of in-hospital mortality(OR: 2.15; 95% CI, 0.94-4.34; p < 0.001). CONCLUSION: The ACUTE HF score was a useful prognostic score for the prediction of in-hospital mortality in patients with AHF. Further validation studies in different regions of the world and with different AHF populations are needed to determine its generalisability.

Outcomes of left ventricular assist device implantation for advanced heart failure in critically ill patients (INTERMACS 1 and 2): A retrospective study.

The use of left ventricular assist devices (LVADs) for advanced heart failure is becoming increasingly common. However, optimal timing and patient selection remain controversial. The aim of this study was to investigate outcomes of LVAD implantation for advanced heart failure in critically ill patients (INTERMACS 1 and 2). Between August 2010 and January 2020, 207 consecutive patients underwent LVAD implantation. Overall survival, major adverse events, and laboratory parameters were compared between patients in INTERMACS 1-2 (n = 107) and INTERMACS 3-5 (n = 100). Preoperative white blood cells, C-reactive protein, procalcitonin, bilirubin, alanine transaminase, and lactate dehydrogenase were all significantly higher in INTERMACS 1-2 when compared to INTERMACS 3-5 (P < .05). During hospitalization following LVAD implantation, patients in INTERMACS 1-2 were more likely to develop major infections (41.1% vs. 23.0%, P = .005), respiratory failure (57.9% vs. 25.0%, P < .001), mild (20.6% vs. 8.0%, P = .010), and moderate (31.8% vs. 7.0%, P < .001) right heart failure, and acute renal dysfunction (56.1% vs. 6.0%, P < .001). During a median follow-up of 2.00 years (interquartile range (IQR) 0.24-3.39 years), they had a higher incidence of thoracic (15.9% vs. 4.0%, P = .005) and gastrointestinal bleeding (21.5% vs. 11.0%, P = .042), as well as right heart failure (18.7% vs. 1%, P < .001). Risk of death was significantly higher in the INTERMACS 1-2 group (hazards ratio (HR) 1.64, 95% CI 1.12-2.40, P = .011). LVAD implantation in critically ill patients is associated with increased morbidity and mortality. Our results suggest that decision for LVAD should be not be delayed until INTERMACS 1 and 2 levels whenever possible.

Heart Failure With Midrange Ejection Fraction-What Is It, If Anything?

The patient cohort with left ventricular ejection fractions (LVEFs) of 41%-49%, which has been defined as heart failure with midrange ejection fraction (HFmrEF), represent a significant proportion of the heart failure (HF) population. Despite the clear cutoffs established by different society guidelines, confusion remains regarding the exact significance of midrange LVEF within the HF syndrome. Patients with LVEF 41%-49% represent a heterogeneous group of patients sharing pathophysiologic mechanisms, biomarker profiles, comorbidities, and clinical characteristics with patients with preserved and reduced LVEF. In this clinical review, we discuss the underlying pathophysiologic mechanisms that culminate in the clinical syndrome of HF and contribute to the disparities observed between HFpEF, HFrEF, and HFmrEF. We highlight differences and similarities in clinical characteristics and imaging features between HFpEF and HFrEF in an effort to disentangle the heterogeneous group of patients with midrange LVEF, but ultimately we conclude that LVEF should be seen as simply one important element of a continuum throughout the HF syndrome, and that although is useful, it is an oversimplification, because HF syndrome is more of a continuum. The underlying pathophysiology, etiology, and comorbidities of patients presenting with HF is becoming ever more important as the limitations of a classification solely based on LVEF are being better recognised, and as patient-specific personalisation of care is becoming ever more important.