scholarly journals Premature ventricular complexes and development of heart failure in a community-based population

Heart ◽  
2021 ◽  
pp. heartjnl-2021-319473
Author(s):  
Worawan B Limpitikul ◽  
Thomas A Dewland ◽  
Eric Vittinghoff ◽  
Elsayed Soliman ◽  
Gregory Nah ◽  
...  
Keyword(s):  
Heart Failure ◽  
Left Ventricular ◽  
Community Dwelling ◽  
Left Ventricular Ejection ◽  
Premature Ventricular Complex ◽  
Community Based ◽  
Ventricular Ejection Fraction ◽  
Increased Risk ◽  
Coupling Interval

ObjectiveA higher premature ventricular complex (PVC) frequency is associated with incident congestive heart failure (CHF) and death. While certain PVC characteristics may contribute to that risk, the current literature stems from patients in medical settings and is therefore prone to referral bias. This study aims to identify PVC characteristics associated with incident CHF in a community-based setting.MethodsThe Cardiovascular Health Study is a cohort of community-dwelling individuals who underwent prospective evaluation and follow-up. We analysed 24-hour Holter data to assess PVC characteristics and used multivariable logistic and Cox proportional hazards models to identify predictors of a left ventricular ejection fraction (LVEF) decline and incident CHF, respectively.ResultsOf 871 analysed participants, 316 participants exhibited at least 10 PVCs during the 24-hour recording. For participants with PVCs, the average age was 72±5 years, 41% were women and 93% were white. Over a median follow-up of 11 years, 34% developed CHF. After adjusting for demographics, cardiovascular comorbidities, antiarrhythmic drug use and PVC frequency, a greater heterogeneity of the PVC coupling interval was associated with an increased risk of LVEF decline and incident CHF. Of note, neither PVC duration nor coupling interval duration exhibited a statistically significant relationship with either outcome.ConclusionsIn this first community-based study to identify Holter-based features of PVCs that are associated with LVEF reduction and incident CHF, the fact that coupling interval heterogeneity was an independent risk factor suggests that the mechanism of PVC generation may influence the risk of heart failure.

scholarly journals 432 Traditional markers of myocardial dysfunction fail to detect marked reductions in physical capacity amoung chemotherapy patients

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
E Howden ◽  
S Foulkes ◽  
L Wright ◽  
K Janssens ◽  
H Dillon ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Function ◽  
Left Ventricular ◽  
Cardiac Biomarkers ◽  
Left Ventricular Ejection ◽  
Lv Function ◽  
Cell Transplant ◽  
Ventricular Ejection Fraction ◽  
Increased Risk

Abstract Left ventricular ejection fraction (LVEF) is the current standard of care for evaluating chemotherapy-associated cardiotoxicity but changes in LVEF are poorly associated with outcomes and long-term heart failure risk. We sought to compare a more global measure of integrative cardiovascular function (VO2peak) that is strongly associated heart failure and early mortality risk with LVEF, global longitudinal strain (GLS) and cardiac biomarkers. Methods 95 patients who were due to commence anti-cancer treatment (n = 58 anthracycline chemotherapy for breast cancer; n = 25 Bruton’s tyrosine kinase inhibitor and n = 12 allogeneic stem cell transplant for haematological cancers) completed a pre-treatment and follow-up assessment within 6 months of initiating treatment. Changes in echocardiographic measures of LV function (LVEF, GLS), cardiac biomarkers (troponin and BNP) and cardiopulmonary exercise test (CPET, VO2peak) were measured. Results Of 95 participants who underwent baseline testing, follow-up CPET and echocardiography data was available in 89 participants. LV function was normal prior to treatment (LVEF 61.5 ± 5.9%; GLS -19.4 ± 2.3) but VO2peak (23.4 ± 6.5ml/kg/min) was only 83 ± 21% (range 47-146%) of age-predicted. After treatment, we observed marked reductions in fitness (Δ-2.1 ± 3.7 ml/kg/min or -9 ± 15%, P < 0.001) which was associated with small non-clinically significant changes in LV function (LVEF Δ-2.4 ± 6.4% P = 0.001; GLS Δ-0.5 ± 1.9 P = 0.018). Troponin was increased significantly (4.0 ± 5.5 to 23.5 ± 22.5ng/ml, P < 0.001), with no change in BNP (37.5 ± 31.4 to 32.7 ± 22.0pg/ml, P = 0.87). Current diagnostic criteria for cardiac toxicity were not met in any patient despite some patients developing disabling reductions in functional capacity (VO2peak < 16ml/min/kg). Conclusion Despite normal resting LV function prior to commencing treatment VO2peak was below age predicted. Treatment further impaired exercise cardiovascular function with minimal impact on resting measures of LV function. The assessment of cardiovascular function using CPET prior to, and following chemotherapy may be a more sensitive means of identifying patients at increased risk of future heart failure.

48Remote monitoring of Heart Failure patients with a Multisensor ICD Algorithm: value of an alert-based follow-up strategy

EP Europace ◽  
2020 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
D Pecora ◽  
V Tavoletta ◽  
A Dello Russo ◽  
E De Ruvo ◽  
F Ammirati ◽  
...  
Keyword(s):  
Heart Failure ◽  
Office Visit ◽  
Signs And Symptoms ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Office Visits ◽  
Ventricular Ejection Fraction ◽  
Increased Risk ◽  
Remote Data

Abstract Background The HeartLogic algorithm measures and combines multiple parameters, i.e. heart sounds, intrathoracic impedance, respiration pattern, night heart rate, and patient activity, in a single index. The associated alert has proved to be a sensitive and timely predictor of impending heart failure (HF) decompensation, and the HeartLogic alert condition was shown to identify patients during periods of significantly increased risk of HF events. Purpose To report the results of a multicenter experience of remote HF management with HeartLogic algorithm and appraise the value of an alert-based follow-up strategy. Methods The HeartLogic feature was activated in 104 patients (76 male, 71 ± 10 years, left ventricular ejection fraction 29 ± 7%). All patients were followed according to a standardized protocol that included remote data reviews and patient phone contacts every month and at the time of HeartLogic alerts. In-office visits were performed every 6 months or when deemed necessary. Results During a median follow-up of 13[11-18] months, centers performed remote follow-up at the time of 1284 scheduled monthly transmissions (10.5 per pt-year) and 100 HeartLogic alerts (0.82 alerts/pt-year). The mean delay from alert to the next monthly remote data review was 14 ± 8 days. Overall, the patient time in the alert state (i.e. HeartLogic index above the threshold) was 14% of the total observation period. HF events requiring active clinical actions were detected at the time of 11 (0.9%) monthly remote data reviews and at 43 (43%, p < 0.001) HeartLogic alerts. Moderate to severe symptoms of HF were reported during 2% of remote visits when the patient was out of HeartLogic alert condition and during 15% of remote visits performed in alert condition (p < 0.001). Out of 100 alerts, 17 required an in-office visit and 5 a hospitalization to manage the clinical condition. Overall, 282 scheduled and 56 unscheduled in-office visits were performed during follow-up. Any HF sign (i.e. S3 gallop, rales, jugular venous distension, edema) was detected during 18% of in-office visits when the patient was out of HeartLogic alert condition and during 34% of visits performed in alert condition (p = 0.002). Conclusions HeartLogic alerts are frequently associated with relevant actionable HF events. Events are detected earlier and the volume of alert-driven remote follow-ups is limited when compared with a monthly remote follow-up scheme. The probability of detecting common signs and symptoms of HF at regular remote or in-office assessment is extremely low when the patient is out of HeartLogic alert state. These results support the adoption of an alert-based follow-up strategy.

A multiparametric ICD algorithm for heart failure risk stratification: an analysis in clinical practice

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Calo ◽  
M Manzo ◽  
L Santini ◽  
A Dello Russo ◽  
V.E Santobuono ◽  
...  
Keyword(s):  
Heart Failure ◽  
Clinical Practice ◽  
Risk Stratification ◽  
Left Ventricular ◽  
Cardiac Resynchronization ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Increased Risk ◽  
Observation Period

Abstract Purpose A novel multiparametric algorithm based on implantable cardioverter defibrillator (ICD) sensors has been recently developed. The HeartLogic index combines multiple parameters, i.e. heart sounds, intrathoracic impedance, respiration pattern, night heart rate, and patient activity, in a single index. In the validation study, the HeartLogic alert condition was shown to identify patients during periods of significantly increased risk of heart failure (HF) events. We sought to evaluate the risk stratification ability of the algorithm in a group of patients who received the system in clinical practice. Methods The HeartLogic feature was activated in 257 ICD and cardiac resynchronization therapy ICD patients (186 male, 70±11 years, left ventricular ejection fraction 30±8%) at 11 centers. The median follow-up duration was 14 months [25–75 percentile: 7–19]. The HeartLogic algorithm automatically calculates a daily HF index and identifies periods in or out of an alert state relative to a configurable threshold (in this analysis set to 16). Results Patients experienced 40 HF hospitalizations requiring at least 1 overnight stay (0.14/patient-year) during the observation period (285 patient-years). The HeartLogic index crossed the threshold value 191 times in 105 patients. The time in the alert state was 27 patient-years, i.e. 9.5% of the total observation period. HF hospitalization rate while in alert was 0.96/patient-year and 0.05/patient-year while out of alert. The occurrence of ≥1 index crossing during follow-up was associated with the risk of HF hospitalization (odds ratio: 4.70, CI 95%: 1.79–12.4, p=0.002), independently from other baseline clinical variables. Conclusions Our analysis of data collected in clinical practice confirms that the multiparametric ICD algorithm is an independent predictor of higher risk of HF. In particular, it allows dynamic identification of time-intervals when patients are at significantly increased risk of worsening HF. This potentially helps better triage resources to a more vulnerable patient population. Funding Acknowledgement Type of funding source: None

scholarly journals Biomarkers-based personalized follow-up in chronic heart failure improves patient’s outcomes and reduces care associate cost

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Antonio Leon-Justel ◽  
Jose I. Morgado Garcia-Polavieja ◽  
Ana Isabel Alvarez-Rios ◽  
Francisco Jose Caro Fernandez ◽  
Pedro Agustin Pajaro Merino ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Admissions ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Secondary Outcome ◽  
Ventricular Ejection Fraction ◽  
Number Of Patients ◽  
Ed Visits ◽  
The Impact

Abstract Background Heart failure (HF) is a major and growing medical and economic problem, with high prevalence and incidence rates worldwide. Cardiac Biomarker is emerging as a novel tool for improving management of patients with HF with a reduced left ventricular ejection fraction (HFrEF). Methods This is a before and after interventional study, that assesses the impact of a personalized follow-up procedure for HF on patient’s outcomes and care associated cost, based on a clinical model of risk stratification and personalized management according to that risk. A total of 192 patients were enrolled and studied before the intervention and again after the intervention. The primary objective was the rate of readmissions, due to a HF. Secondary outcome compared the rate of ED visits and quality of life improvement assessed by the number of patients who had reduced NYHA score. A cost-analysis was also performed on these data. Results Admission rates significantly decreased by 19.8% after the intervention (from 30.2 to 10.4), the total hospital admissions were reduced by 32 (from 78 to 46) and the total length of stay was reduced by 7 days (from 15 to 9 days). The rate of ED visits was reduced by 44% (from 64 to 20). Thirty-one percent of patients had an improved functional class score after the intervention, whereas only 7.8% got worse. The overall cost saving associated with the intervention was € 72,769 per patient (from € 201,189 to € 128,420) and €139,717.65 for the whole group over 1 year. Conclusions A personalized follow-up of HF patients led to important outcome benefits and resulted in cost savings, mainly due to the reduction of patient hospitalization readmissions and a significant reduction of care-associated costs, suggesting that greater attention should be given to this high-risk cohort to minimize the risk of hospitalization readmissions.

scholarly journals Temporal trends in outcome and patient characteristics in dilated cardiomyopathy, data from the Swedish Heart Failure Registry 2003–2015

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Helen Sjöland ◽  
Jonas Silverdal ◽  
Entela Bollano ◽  
Aldina Pivodic ◽  
Ulf Dahlström ◽  
...  
Keyword(s):  
Heart Failure ◽  
Dilated Cardiomyopathy ◽  
Temporal Trends ◽  
Physical Symptoms ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Continuous Change ◽  
Ventricular Ejection Fraction ◽  
Increased Risk ◽  
Over Time

Abstract Background Temporal trends in clinical composition and outcome in dilated cardiomyopathy (DCM) are largely unknown, despite considerable advances in heart failure management. We set out to study clinical characteristics and prognosis over time in DCM in Sweden during 2003–2015. Methods DCM patients (n = 7873) from the Swedish Heart Failure Registry were divided into three calendar periods of inclusion, 2003–2007 (Period 1, n = 2029), 2008–2011 (Period 2, n = 3363), 2012–2015 (Period 3, n = 2481). The primary outcome was the composite of all-cause death, transplantation and hospitalization during 1 year after inclusion into the registry. Results Over the three calendar periods patients were older (p = 0.022), the proportion of females increased (mean 22.5%, 26.4%, 27.6%, p = 0.0001), left ventricular ejection fraction was higher (p = 0.0014), and symptoms by New York Heart Association less severe (p < 0.0001). Device (implantable cardioverter defibrillator and/or cardiac resynchronization) therapy increased by 30% over time (mean 11.6%, 12.3%, 15.1%, p < 0.0001). The event rates for mortality, and hospitalization were consistently decreasing over calendar periods (p < 0.0001 for all), whereas transplantation rate was stable. More advanced physical symptoms correlated with an increased risk of a composite outcome over time (p = 0.0043). Conclusions From 2003 until 2015, we observed declining mortality and hospitalizations in DCM, paralleled by a continuous change in both demographic profile and therapy in the DCM population in Sweden, towards a less affected phenotype.

scholarly journals Clinical Outcomes in Patients with Ischemic versus Non-Ischemic Cardiomyopathy after Angiotensin-Neprilysin Inhibition Therapy

2021 ◽  
Vol 10 (21) ◽  
pp. 4989
Author(s):  
Mohammad Abumayyaleh ◽  
Christina Pilsinger ◽  
Ibrahim El-Battrawy ◽  
Marvin Kummer ◽  
Jürgen Kuschyk ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Ischemic Cardiomyopathy ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Tachyarrhythmias ◽  
Ventricular Ejection Fraction ◽  
One Year ◽  
The Impact

Background: The angiotensin receptor-neprilysin inhibitor (ARNI) decreases cardiovascular mortality in patients with chronic heart failure with a reduced ejection fraction (HFrEF). Data regarding the impact of ARNI on the outcome in HFrEF patients according to heart failure etiology are limited. Methods and results: One hundred twenty-one consecutive patients with HFrEF from the years 2016 to 2017 were included at the Medical Centre Mannheim Heidelberg University and treated with ARNI according to the current guidelines. Left ventricular ejection fraction (LVEF) was numerically improved during the treatment with ARNI in both patient groups, that with ischemic cardiomyopathy (n = 61) (ICMP), and that with non-ischemic cardiomyopathy (n = 60) (NICMP); p = 0.25. Consistent with this data, the NT-proBNP decreased in both groups, more commonly in the NICMP patient group. In addition, the glomerular filtration rate (GFR) and creatinine changed before and after the treatment with ARNI in both groups. In a one-year follow-up, the rate of ventricular tachyarrhythmias (ventricular tachycardia and ventricular fibrillation) tended to be higher in the ICMP group compared with the NICMP group (ICMP 38.71% vs. NICMP 17.24%; p = 0.07). The rate of one-year all-cause mortality was similar in both groups (ICMP 6.5% vs. NICMP 6.6%; log-rank = 0.9947). Conclusions: This study shows that, although the treatment with ARNI improves the LVEF in ICMP and NICMP patients, the risk of ventricular tachyarrhythmias remains higher in ICMP patients in comparison with NICMP patients. Renal function is improved in the NICMP group after the treatment. Long-term mortality is similar over a one-year follow-up.

scholarly journals Prognostic value of atrial fibrillation in patients with heart failure and different left ventricular ejection fraction: results of the multicenter RIF-CHF register

2021 ◽  
Vol 26 (1) ◽  
pp. 4200
Author(s):  
I. V. Zhirov ◽  
N. V. Safronova ◽  
Yu. F. Osmolovskaya ◽  
S. N. Тereschenko
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Ejection Fraction ◽  
Cardiovascular Mortality ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Reduced Ejection Fraction ◽  
Number Of Patients ◽  
Increased Risk

Heart failure (HF) and atrial fibrillation (AF) are the most common cardiovascular conditions in clinical practice and frequently coexist. The number of patients with HF and AF is increasing every year.Aim. To analyze the effect of clinical course and management of HF and AF on the outcomes.Material and methods. The data of 1,003 patients from the first Russian register of patients with HF and AF (RIF-CHF) were analyzed. The endpoints included hospitalization due to decompensated HF, cardiovascular mortality, thromboembolic events, and major bleeding. Predictors of unfavorable outcomes were analyzed separately for patients with HF with preserved ejection fraction (AF+HFpEF), mid-range ejection fraction (AF+HFmrEF), and reduced ejection fraction (AF+HFrEF).Results. Among all patients with HF, 39% had HFpEF, 15% — HFmrEF, and 46% — HFrEF. A total of 57,2% of patients were rehospitalized due to decompensated HF within one year. Hospitalization risk was the highest for HFmrEF patients (66%, p=0,017). Reduced ejection fraction was associated with the increased risk of cardiovascular mortality (15,5% vs 5,4% in other groups, p<0,001) but not ischemic stroke (2,4% vs 3%, p=0,776). Patients with HFpEF had lower risk to achieve the composite endpoint (stroke+MI+cardiovascular death) as compared to patients with HFmrEF and HFrEF (12,7% vs 22% and 25,5%, p<0,001). Regression logistic analysis revealed that factors such as demographic characteristics, disease severity, and selected therapy had different effects on the risk of unfavorable outcomes depending on ejection fraction group.Conclusion. Each group of patients with different ejection fractions is characterized by its own pattern of factors associated with unfavorable outcomes. The demographic and clinical characteristics of patients with mid-range ejection fraction demonstrate that these patients need to be studied as a separate cohort.

Abstract 107: Predictors and Frequency of ICD Implantation for Primary Prevention in ICD Eligible Patients: Results from a Prospective Multicenter Registry

2012 ◽  
Vol 5 (suppl_1) ◽  
Author(s):  
Rory Hachamovitch ◽  
Benjamin Nutter ◽  
Manuel D Cerqueira ◽  
Keyword(s):  
Heart Failure ◽  
Primary Prevention ◽  
Left Ventricular ◽  
Myocardial Imaging ◽  
Left Ventricular Ejection ◽  
Study Cohort ◽  
Icd Implantation ◽  
Ventricular Ejection Fraction ◽  
Multicenter Registry

Background . The use of implantable cardiac defibrillators has been associated with improved survival in several well-defined patient (pt) subsets. Its utilization for primary prevention in eligible pts, however, is unclear. We sought to examine the frequency of ICD implantation (ICD-IMP) for primary prevention in a cohort prospectively enrolled in a prospective, multicenter registry of ICD candidates. Methods . We identified 961 pts enrolled in the AdreView Myocardial Imaging for Risk Evaluation in Heart Failure (ADMIRE-HF) study, a prospective, multicenter study evaluating the prognostic usefulness of 123I-mIBG scintigraphy in a heart failure population. Inclusion criteria limited patients to those meeting guideline criteria for ICD implantation; these criteria included left ventricular ejection fraction ≤35% and New York Heart Association functional class II-III. We excluded pts with an ICD at the time of enrollment, leaving a study cohort of 934 patients. Pts were followed up for 24 months after enrollment. Pts undergoing ICD-IMP after enrollment for secondary prevention were censored at the time of intervention. The association between ICD-IMP utilization and demographic, clinical, laboratory, and imaging data was examined using Cox proportional hazards analysis (CPH). Results . Of 934 pts, 196 (21%) were referred for ICD-IMP over a mean follow-up of 612±242 days. Implantations occurred 167±164 days after enrollment. Patients referred for ICD were younger (61±12 vs. 63±12), but did not differ with respect to proportion female (17% vs. 21%), African-American race (12% vs. 15%), diabetics (37% vs. 36%) (All p=NS). The frequency of ICD-IMP did not differ as a function of age, race, sex, LVEF, or imaging result (All p=NS). CPH revealed that a model including age, race, sex, diabetes, smoking, BMI, NYHA class, hypertension, heart failure etiology, and prior MI identified none of these as predictive of ICD-IMP. Conclusion: This analysis of prospective registry data reveals that in patients who are guideline-defined candidates for ICD-IMP, only about one in five receive an ICD over a two year follow-up interval. Multivariable modeling failed to identify any factor associated with ICD use.

Abstract P232: Screening Past B-Type Natriuretic Peptide (BNP) Values to Identify Candidates for Treatment of Systolic Dysfunction

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Parisa Gholami ◽  
Shoutzu Lin ◽  
Paul Heidenreich
Keyword(s):  
Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Significant Difference ◽  
The Mean

Background: BNP testing is now common though it is not clear if the test results are used to improve patient care. A high BNP may be an indicator that the left ventricular ejection fraction (LVEF) is low (<40%) such that the patient will benefit from life-prolonging therapy. Objective: To determine how often clinicians obtained a measure of LVEF (echocardiography, nuclear) following a high BNP value when the left ventricular ejection fraction (LVEF) was not known to be low (<40%). Methods and Results: We reviewed the medical records of 296 consecutive patients (inpatient or outpatient) with a BNP values of at least 200 pg/ml at a single medical center (tertiary hospital with 8 community clinics). A prior diagnosis of heart failure was made in 65%, while 42% had diabetes, 79% had hypertension, 59% had ischemic heart disease and 31% had chronic lung disease. The mean age was 73 ± 12 years, 75% were white, 10% black, 15% other and the mean BNP was 810 ± 814 pg/ml. The LVEF was known to be < 40% in 84 patients (28%, mean BNP value of 1094 ± 969 pg/ml). Of the remaining 212 patients without a known low LVEF, 161 (76%) had a prior LVEF >=40% ( mean BNP value of 673 ± 635 pg/ml), and 51 (24%) had no prior LVEF documented (mean BNP 775 ± 926 pg/ml). Following the high BNP, a measure of LVEF was obtained (including outside studies documented by the primary care provider) within 6 months in only 53% (113 of 212) of those with an LVEF not known to be low. Of those with a follow-up echocardiogram, the LVEF was <40% in 18/113 (16%) and >=40% in 95/113 (84%). There was no significant difference in mean initial BNP values between those with a follow-up LVEF <40% (872 ± 940pg/ml), >=40% (704 ± 737 pg/ml), or not done (661 ± 649 pg/ml, p=0.5). Conclusions: Follow-up measures of LVEF did not occur in almost 50% of patients with a high BNP where the information may have led to institution of life-prolonging therapy. Of those that did have a follow-up study a new diagnosis of depressesd LVEF was noted in 16%. Screening of existing BNP and LVEF data and may be an efficient strategy to identify patients that may benefit from life-prolonging therapy for heart failure.

Predicting mortality for patients with heart failure beyond oxygen consumption: a prognostic risk score

2021 ◽  
Author(s):  
Hanaa Shafiek ◽  
Andres Grau ◽  
Jaume Pons ◽  
Pere Pericas ◽  
Xavier Rossello ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Risk Score ◽  
Cardiac Transplantation ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Functional Evaluation ◽  
Cardiac Events ◽  
Ventricular Ejection Fraction

Background: Cardiopulmonary exercise test (CPET) is a crucial tool for the functional evaluation of cardiac patients. We hypothesized that VO2 max and VE/VCO2 slope are not the only parameters of CPET able to predict major cardiac events (mortality or cardiac transplantation urgently or elective). Objectives: We aimed to identify the best CPET predictors of major cardiac events in patients with severe chronic heart failure and to propose an integrated score that could be applied for their prognostic evaluation. Methods: We evaluated 140 patients with chronic heart failure who underwent CPET between 2011 and 2019. Major cardiac events were evaluated during follow-up. Univariate and multivariate logistic regression analysis were applied to study the predictive value of different clinical, echocardiographic and CPET parameters in relation to the major cardiac events. A score was generated and c-statistic was used for the comparisons. Results: Thirty-nine patients (27.9%) died or underwent cardiac transplantation over a median follow-up of 48 months. Five parameters (maximal workload, breathing reserve, left ventricular ejection fraction, diastolic dysfunction and non-idiopathic cardiomyopathy) were used to generate a risk score that had better risk discrimination than NYHA dyspnea scale, VO2 max, VE/VCO2 slope > 35 alone, and combined VO2 max and VE/VCO2 slope (p= 0.009, 0.004, < 0.001 and 0.005 respectively) in predicting major cardiac events. Conclusions: A composite score of CPET and clinical/echocardiographic data is more reliable than the single use of VO2max or combined with VE/VCO2 slope to predict major cardiac events.

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