HDL Function and Size in Patients with On-Target LDL Plasma Levels and a First-Onset ACS.

Patients admitted for acute coronary syndrome (ACS) usually have high cardiovascular risk scores with low levels of high-density lipoprotein cholesterol (HDL-C) and high low-density lipoprotein cholesterol (LDL-C) levels. Here, we investigated the role of lipoprotein functionality as well as particle number and size in patients with a first-onset ACS with on-target LDL-C levels. Ninety-seven patients with chest pain and first-onset ACS with LDL-C levels of 100 ± 4 mg/dL and non-HDL-C levels of 128 ± 4.0 mg/dL were included in the study. Patients were categorized as ACS and non-ACS after all diagnostic tests were performed (electrocardiogram, echocardiogram, troponin levels and angiography) on admission. HDL-C and LDL-C functionality and particle number/size by nuclear magnetic resonance (NMR) were blindly investigated. A group of matched healthy volunteers (n = 31) was included as a reference for these novel laboratory variables. LDL susceptibility to oxidation was higher and HDL-antioxidant capacity lower in the ACS patients than in the non-ACS individuals. ACS patients had lower HDL-C and Apolipoprotein A-I levels than non-ACS patients despite the same prevalence of classical cardiovascular risk factors. Cholesterol efflux potential was impaired only in the ACS patients. ACS-STEMI (Acute Coronary Syndrome-ST-segment-elevation myocardial infarction) patients, had a larger HDL particle diameter than non-ACS individuals (8.4 ± 0.02 vs. 8.3 ± 0.02 and, ANOVA test, p = 0.004). In conclusion, patients admitted for chest pain with a first-onset ACS and on-target lipid levels had impaired lipoprotein functionality and NMR measured larger HDL particles. This study shows the relevance of HDL functionality rather than HDL-C concentration in ACS patients.

Antithrombotic therapy and clinical outcomes at 1 year in the Spanish cohort of the EORP-AF Long-term General Registry.

BACKGROUND: Atrial fibrillation (AF) increases the risk of thromboembolism. We investigate the efficacy and safety of oral anticoagulation (OAC) therapy and explored the number needed to treat for net effect (NNTnet) of OAC in the Spanish cohort of the EURObservational Research Programme-AF (EORP-AF) Long-term General Registry. METHODS: The EORP-AF General Registry is a prospective, multicentre registry conducted in ESC countries, including consecutive AF patients. For the present analysis, we used the Spanish cohort, and the primary outcome was any thromboembolism (TE)/acute coronary syndrome (ACS)/cardiovascular death during the first year of follow-up. RESULTS: 729 AF patients were included (57.1% male, median age 75 [IQR 67-81] years, median CHA2 DS2 -VASc and HAS-BLED of 3 [IQR 2-5] and 2 [IQR 1-2], respectively). 548 (75.2%) patients received OAC alone (318 [43.6%] on VKAs and 230 [31.6%] on DOACs). After 1 year, the use of OAC alone showed lower rates of any TE/ACS/cardiovascular death (3.0%/year; p < 0.001) compared to other regimens, and non-use of OAC alone (HR 4.18, 95% CI 2.12-8.27) was independently associated with any TE/ACS/cardiovascular death. Balancing the effects of treatment, the NNTnet to provide an overall benefit of OAC therapy was 24. The proportion of patients on OAC increased at 1 year (87% to 88.1%), particularly on DOACs (33.6% to 39.9%) (p = 0.015), with low discontinuation rates. CONCLUSIONS: In this contemporary cohort of AF patients, OAC therapy was associated with better clinical outcomes at 1 year and positive NNTnet. OAC use slightly increased during the follow-up, with low discontinuation rates and higher prescription of DOACs.

Peripheral artery disease and clinical outcomes in patients with atrial fibrillation: A report from the FANTASIIA registry.

BACKGROUND: Atrial fibrillation (AF) and peripheral artery disease (PAD) are common conditions that increase cardiovascular risk. We determined the association between PAD and prognosis in a cohort of real-world patients receiving oral anticoagulant therapy for nonvalvular AF. METHODS: We prospectively included 1956 patients (mean age 73.8 ± 9.5 years, 44.0% women) receiving oral anticoagulant therapy for AF. Clinical characteristics were collected at baseline. Patients were followed for a period of 3 years. Survival analysis and multivariable regression analyses were performed to assess variables related to death, stroke, bleeding, myocardial infarction and major adverse cardiovascular events (MACE). RESULTS: Patients with PAD (n = 118; 6%) exhibited higher rates of cardiovascular risk factors and cardiovascular diseases. After 3 years of follow-up, there were a total of 255 deaths (no PAD 233, vs PAD 22), 45 strokes (43 vs 2), 146 major bleedings (136 vs 10) and 168 MACE (148 vs 20). On univariate analysis, there was a higher risk of cardiovascular mortality (2.02%/year no PAD vs 4.08%/year PAD, P = .02), myocardial infarction (0.99%/year no PAD vs 2.43%/year PAD, P = .02) and MACE (3.18%/year no PAD vs 6.99%/year PAD, P < .01). There was no statistically significant association with these events after multivariable adjustment. CONCLUSIONS: In a large cohort of anticoagulated patients with AF, the presence of PAD represents a higher risk subgroup and is associated with worse crude outcomes. The exact contribution of the PAD independently of other cardiovascular diseases or risk factors requires further investigation.

Multicenter and all-comers validation of a score to select patients for manual thrombectomy, the DDTA score.

BACKGROUND: Routine manual thrombectomy (MT) is not recommended in primary percutaneous coronary intervention (P-PCI) but it is performed in many procedures. The objective of our study was validating the DDTA score, designed for selecting patients who benefit most from MT. METHODS: Observational and multicenter study of all consecutive patients undergoing P-PCI in five institutions. Results were compared with the design cohort and the performance of the DDTA was analyzed in all patients. Primary end-point of the analyses was TIMI 3 after MT; secondary endpoints were final TIMI 3, no-reflow incidence, in-hospital mortality and in-hospital major cardiovascular events (MACE). In-hospital prognosis was assessed by the Zwolle risk score. RESULTS: Three hundred forty patients were included in the validation cohort and no differences were observed as compared to the design cohort (618 patients) except for lower use of MT and higher IIb/IIIa inhibitors or drug-eluting stents. The probability of TIMI 3 after MT decreased as delay to P-PCI was higher. If DDTA score, MT was associated to TIMI 3 after MT (OR: 4.11) and final TIMI 3 (OR: 2.44). There was a linear and continuous relationship between DDTA score and all endpoints. DDTA score ≥ 4 was independently associated to lower no-reflow, in-hospital MACE or mortality. The lowest incidence of in-hospital mortality or MACE was in patients who had DDTA score ≥ 4 and Zwolle risk score 0-3. CONCLUSIONS: MT is associated to higher rate of final TIMI3 in patients with the DDTA score ≥ 4. Patients with DDTA score ≥ 4 had lower no-reflow and in-hospital complications.

Direct Oral Anticoagulants Versus Vitamin-K Antagonist After PCIs in Patients With AF: A Meta-analysis of Cardiac Ischemic Events.

BACKGROUND: Clinical trials have assessed the effect of direct oral antagonists (DOACs) in patients with atrial fibrillation (AF) after percutaneous coronary interventions (PCI). Studies were designed to test the effect on bleeding incidence, but concerns related to safety on ischemic events remain. METHODS: We performed a meta-analysis with currently available studies involving DOACs versus Vitamin-K antagonist (VKA) in patients with AF after PCI. The primary endpoint was the incidence of cardiac ischemic events, including myocardial infarction and stent thrombosis. Secondary endpoints were the incidence of stroke, all-cause mortality, and major bleeding. RESULTS: Eleven thousand twenty-three patients were included in the analysis: 5510 receiving DOACs and 5513 VKA. A total of 190 cases of myocardial infarction were registered in patients treated with DOACs and 177 in patients on VKA, and no statistical difference was noted [relative risk (RR): 1.07 95% confidence interval (CI) 0.88-1.31]. The incidence of stent thrombosis was very low with no differences between both treatment strategies (RR: 1.14 95% CI 0.76-1.71). The incidence of cardiac ischemic events was the same in patients receiving DOACs or VKA (HR 1.09 95% CI 0.91-1.30). No differences were observed in the incidence of stroke (RR: 0.86 95% CI 0.61-1.23) or mortality (RR: 1.09, 95% CI 0.90-1.31). Treatment with DOACs was associated with 34% reduction in major bleeding (RR: 0.66, 95% CI 0.54-0.81). CONCLUSIONS: Treatment with DOACs in patients with AF after a PCI do not increase the risk of cardiac ischemic events, stroke, or death and reduce the incidence of major bleeding by 34% as compared with VKA.

Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation.

Atrial substrate modification after pulmonary vein isolation (PVI) of paroxysmal atrial fibrillation (pAF) can be assessed non-invasively by analyzing P-wave duration in the electrocardiogram (ECG). However, whether right (RA) and left atrium (LA) contribute equally to this phenomenon remains unknown. The present study splits fundamental P-wave features to investigate the different RA and LA contributions to P-wave duration. Recordings of 29 pAF patients undergoing first-ever PVI were acquired before and after PVI. P-wave features were calculated: P-wave duration (PWD), duration of the first (PWDon-peak) and second (PWDpeak-off) P-wave halves, estimating RA and LA conduction, respectively. P-wave onset (PWon-R) or offset (PWoff-R) to R-peak interval, measuring combined atrial/atrioventricular and single atrioventricular conduction, respectively. Heart-rate fluctuation was corrected by scaling. Pre- and post-PVI results were compared with Mann-Whitney U-test. PWD was correlated with the remaining features. Only PWD (non-scaling: Δ=-9.84%, p=0.0085, scaling: Δ=-17.96%, p=0.0442) and PWDpeak-off (non-scaling: Δ=-22.03%, p=0.0250, scaling: Δ=-27.77%, p=0.0268) were decreased. Correlation of all features with PWD was significant before/after PVI (p<0.0001), showing the highest value between PWD and PWon-R (ρmax=0.855). PWD correlated more with PWDon-peak (ρ= 0.540-0.805) than PWDpeak-off (ρ= 0.419-0.710). PWD shortening after PVI of pAF stems mainly from the second half of the P-wave. Therefore, noninvasive estimation of LA conduction time is critical for the study of atrial substrate modification after PVI and should be addressed by splitting the P-wave in order to achieve improved estimations.

Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate.

Atrial fibrillation (AF) is currently the most common cardiac arrhythmia, with catheter ablation (CA) of the pulmonary veins (PV) being its first line therapy. Ablation of complex fractionated atrial electrograms (CFAEs) outside the PVs has demonstrated improved long-term results, but their identification requires a reliable electrogram (EGM) fractionation estimator. This study proposes a technique aimed to assist CA procedures under real-time settings. The method has been tested on three groups of recordings: Group 1 consisted of 24 highly representative EGMs, eight of each belonging to a different AF Type. Group 2 contained the entire dataset of 119 EGMs, whereas Group 3 contained 20 pseudo-real EGMs of the special Type IV AF. Coarse-grained correlation dimension (CGCD) was computed at epochs of 1 s duration, obtaining a classification accuracy of 100% in Group 1 and 84.0-85.7% in Group 2, using 10-fold cross-validation. The receiver operating characteristics (ROC) analysis for highly fractionated EGMs, showed 100% specificity and sensitivity in Group 1 and 87.5% specificity and 93.6% sensitivity in Group 2. In addition, 100% of the pseudo-real EGMs were correctly identified as Type IV AF. This method can consistently express the fractionation level of AF EGMs and provides better performance than previous works. Its ability to compute fractionation in short-time can agilely detect sudden changes of AF Types and could be used for mapping the atrial substrate, thus assisting CA procedures under real-time settings for atrial substrate modification.

A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices.

Atrial fibrillation (AF) is the most common heart rhythm disturbance in clinical practice. It often starts with asymptomatic and very short episodes, which are extremely difficult to detect without long-term monitoring of the patient's electrocardiogram (ECG). Although recent portable and wearable devices may become very useful in this context, they often record ECG signals strongly corrupted with noise and artifacts. This impairs automatized ulterior analyses that could only be conducted reliably through a previous stage of automatic identification of high-quality ECG intervals. So far, a variety of techniques for ECG quality assessment have been proposed, but poor performances have been reported on recordings from patients with AF. This work introduces a novel deep learning-based algorithm to robustly identify high-quality ECG segments within the challenging environment of single-lead recordings alternating sinus rhythm, AF episodes and other rhythms. The method is based on the high learning capability of a convolutional neural network, which has been trained with 2-D images obtained when turning ECG signals into wavelet scalograms. For its validation, almost 100,000 ECG segments from three different databases have been analyzed during 500 learning-testing iterations, thus involving more than 320,000 ECGs analyzed in total. The obtained results have revealed a discriminant ability to detect high-quality and discard low-quality ECG excerpts of about 93%, only misclassifying around 5% of clean AF segments as noisy ones. In addition, the method has also been able to deal with raw ECG recordings, without requiring signal preprocessing or feature extraction as previous stages. Consequently, it is particularly suitable for portable and wearable devices embedding, facilitating early detection of AF as well as other automatized diagnostic facilities by reliably providing high-quality ECG excerpts to further processing stages.

Primary prevention implantable cardioverter-defibrillator and cardiac resynchronization therapy-defibrillator in elderly patients: results of a Spanish multicentre study.

AIMS: Currently, there continues to be a lack of evidence regarding outcomes associated with device-based therapy for ventricular arrhythmias in elderly patients, even more in primary-prevention indications. We aimed to describe the follow-up in terms of efficacy and safety of implantable cardioverter-defibrillator (ICD) therapy in a large cohort of elderly patients. METHODS AND RESULTS: Retrospective multicentre study performed in 15 Spanish hospitals. Consecutive patients referred for ICD implantation before 2011 were included. One hundred and sixty-two of 1174 patients (13.8%) ≥75 years were considered as 'elderly'. When compared with those patients <75, this subgroup presented more co-morbid conditions, including hypertension, chronic obstructive pulmonary disease , and renal failure, and more previous hospitalizations due to heart failure (HF). During a mean follow-up of 104.4 ± 3.3 months, 162 patients (14%) died, 120 in the younger age (12.4%), and 42 (24.4%) in the elderly. Kaplan-Meier analysis showed an increased probability of death with increasing age (17, 24, 28, and 69% at 12, 24, 48, and 60 months of follow-up in the elderly group). There was neither difference regarding the rate of appropriate nor inappropriate ICD intervention. CONCLUSION: In a real-world scenario, elderly patients comprise ∼15% of ICD implantations for primary prevention of sudden cardiac death (SCD). Although the rate of appropriate therapy is similar between groups, the benefit of ICD is attenuated for a major increase in mortality risk among those patients ≥75 years at the moment of device implantation.

Etiology and Programming Effects on Shock Efficacy in ICD Recipients.

BACKGROUND: We sought to assess the efficacy of high-energy shocks to restore rhythm and predictors of success in patients with sustained ventricular arrhythmias and implantable cardioverter defibrillator (ICD). METHODS AND RESULTS: Data from 162 patients included in the UMBRELLA study that experienced one or more episodes of ventricular tachycardia (VT) for which ICD shocks of at least 30 Joules were delivered (appropriate high-energy shocks) were analyzed. In total, 456 ventricular arrhythmia episodes were registered. Forty four episodes (9.6%) from 39 patients (24%) had at least one ineffective high-energy shock delivered. Hypertrophic cardiomyopathy was more frequent among patients with unsuccessful shocks (10.3% vs 2.4%). Patients with ineffective shocks had higher proportion of sustained monomorphic ventricular arrhythmias (86.4%; the other 13.6% were sustained polymorphic and ventricular fibrillation [VF]) compared with patients with all their shocks effective (62.9%, P = 0.02). No statistical differences were found between groups in time from detection to the high-energy shock delivery, in tachycardia cycle length, or in antitachycardia pacing, but patients with ineffective high-energy shocks had higher proportion of previously ineffective low-energy shock (9.1% vs 0.5%, P = 0.01). CONCLUSION: We found a substantial rate of ineffective high-energy shocks for the treatment of VT or VF in patients with ICD. High-energy shock efficacy seems to be reduced by hypertrophic cardiomyopathy and by the administration of previous low-energy shocks.

Frailty and other geriatric conditions for risk stratification of older patients with acute coronary syndrome.

BACKGROUND: Geriatric conditions may predict outcomes beyond age and standard risk factors. Our aim was to investigate a wide spectrum of geriatric conditions in survivors after an acute coronary syndrome. METHODS: A total of 342 patients older than 65 years were included. At hospital discharge, 5 geriatric conditions were evaluated: frailty (Fried and Green scores), physical disability (Barthel index), instrumental disability (Lawton-Brody scale), cognitive impairment (Pfeiffer questionnaire), and comorbidity (Charlson and simple comorbidity indexes). The outcomes were postdischarge mortality and the composite of death/myocardial infarction during a 30-month median follow-up. RESULTS: Seventy-four (22%) patients died and 105 (31%) suffered from the composite end point. Through univariable analysis, all individual geriatric indexes were associated with outcomes, mainly mortality. Of all of them, frailty using the Green score had the strongest discriminative accuracy (area under the receiver operating characteristic curve 0.76 for mortality). After full adjustment including clinical and geriatric data, the Green score was the only independent predictive geriatric condition (per point; mortality: hazard ratio 1.25, 95% CI 1.15-1.36, P = .0001; composite end point: hazard ratio 1.16, 95% CI 1.09-1.24, P = .0001). A Green score ≥ 5 points was the strongest mortality predictor. The addition of the Green score to the clinical model improved discrimination (area under the receiver operating characteristic curve 0.823 vs 0.846) and significantly reclassified mortality risk (net reclassification improvement 26.3, 95% CI 1.4-43.5; integrated discrimination improvement 4.0, 95% CI 0.8-9.0). The incremental predictive information was even greater over the GRACE score. CONCLUSIONS: Frailty captures most of the prognostic information provided by geriatric conditions after acute coronary syndromes. The Green score performed better than the other geriatric indexes.

Prevalence of childhood obesity in Spain and its relation with socioeconomic status and health behaviors: Population-based cross-sectional study.

OBJECTIVES: This study aims to assess the current state of childhood overweight and obesity in Spain, and its relationship with socioeconomic status and health-related behaviors. METHODS: Population-based cross-sectional observational study, based on the 2017 National Health Survey in minors in Spain. This study included all children surveyed who were aged 1-14 years. Childhood obesity was estimated from the z-score of the body mass index. RESULTS: The study included 4882 children aged 1-14 years (mean 7.5). The prevalence of obesity was 18.6% (95% confidence interval [CI] 18.5-18.7), while 13.5% (95% CI 13.4-13.6) were overweight. These figures represent over a million children in Spain who are obese and nearly 750,000 who are overweight. A north-south geographic gradient was apparent, with higher prevalence of unhealthy body weight in southern Spain. Factors associated with childhood obesity were low socioeconomic status, poor diet and sedentarism, among others. CONCLUSIONS: Childhood overweight in Spain is strongly associated with socioeconomic status and other factors such as diet and sedentarism. Multidisciplinary public health interventions are needed to reduce this serious health problem in children.

[Predictive validity of the risk SCORE model in a Mediterranean population with arterial hypertension]. / Validez en la predicción de riesgo de la escala SCORE en una población mediterránea con hipertensión arterial.

INTRODUCTION AND OBJECTIVES: Hypertension is the most prevalent risk factor globally. Calculation of cardiovascular risk in hypertensive patients before initiation of treatment is recommended. This study aimed to assess the predictive value and clinical utility of the SCORE scale in preventing cardiovascular events and all-cause mortality in patients with hypertension. METHODS: Patients with hypertension from the ESCARVAL-RISK cohort were included. Cardiovascular risk was calculated using the SCORE scale. All deaths and cardiovascular events were recorded during a 5-year follow-up period. Sensitivity, specificity and predictive values were calculated for different cut-off points and the effect of different risk factors on the diagnostic accuracy of SCORE charts were assessed. RESULTS: In a final cohort of 9834 patients, there were 555 cardiovascular events and 69 deaths. The recommended risk value for initiating drug treatment (5%) had a specificity of 92% for death and 91% for cardiovascular events, and a sensitivity of 20% for death and 22% for cardiovascular events. In addition, the scale classified 80.4% of patients who experienced a cardiovascular event and 78.3% of those who died as low risk. Age, body mass index, retinopathy and anticoagulant therapy were associated with reduced predictive ability of the SCORE scale, while being female was associated with better risk prediction. CONCLUSIONS: The predictive ability of the SCORE scale for cardiovascular disease and total mortality in patients with hypertension is limited.

External validation of the FAscore scale to evaluate the risk of atrial fibrillation in patients with arterial hypertension.

BACKGROUND AND AIM: To use a risk scale or predictive model outside the population of origin, it is necessary to evaluate the predictive indicators through external validation. The aim was to validate the FAscore, originally constructed in hypertensive patients in primary care in the Valencian Region, in an external cohort with hypertension in primary care in the Basque Country. METHODS: A retrospective cohort study was designed to perform an external validation of the FAscore app in patients affiliated with 26 health centers in the municipality of Bilbao. The area under the ROC curve and predictive indicators were calculated with their 95% confidence intervals. RESULTS: Thirty-six thousand eight hundred nine patients were included: 53.6% (n=19,719) were women, the mean age was 75.1 years, 41.8% (n=15,381). Over the four-year follow-up period, 1420 patients were diagnosed with AF (cumulative incidence 3.9%). The median risk estimated by FAscore was 4.5%, and the 5th, 25th, 75th, and 95th percentiles were 1.0%, 2.5%, 6.1%, and 14.8%, respectively. The ROC curve for the risk estimated by FAscore and the cases of atrial fibrillation observed was AUC 0.715 (95% CI 0.703-0.727). The 5% risk cutoff provides a sensitivity of 70.8%, specificity of 61.0%, positive predictive value of 6.8%, negative predictive value of 98.1%, and positive and negative likelihood ratios of 1.82 and 0.48, respectively. CONCLUSION: This study reports on the external validation of the atrial fibrillation risk scale in hypertensive patients, which shows an acceptable predictive capacity. The best-performing risk cutoff, providing good predictive indicators, can be set at 5%.

ß-Blocker Withdrawal and Functional Capacity Improvement in Patients With Heart Failure With Preserved Ejection Fraction.

Importance: Increasing the patient's heart rate (HR) has emerged as a therapeutic option in patients with heart failure with preserved ejection fraction (HFpEF). However, the evidence is conflicting, and the profile of patients who benefit most from this strategy remains unclear. Objective: To assess the association of ß-blocker treatment withdrawal with changes in the percentage of predicted peak oxygen consumption (VO2) across indexed left ventricular diastolic (iLVEDV) and indexed left ventricular systolic volumes (iLVESV), and left ventricular ejection fraction (LVEF) in patients with HFpEF and chronotropic incompetence. Design, Setting, and Participants: This post hoc analysis was conducted using data from the investigator-blinded multicenter, randomized, and crossover clinical trial, PRESERVE-HR, that took place from October 1, 2018, through December 31, 2020, to investigate the short-term effects (2 weeks) of ß-blocker withdrawal on peak oxygen consumption (peak VO2). Patients with stable HFpEF (New York Heart Association functional class II to III) receiving treatment with ß-blocker and chronotropic incompetence were included. Intervention: Participants in the PRESERVE-HR trial were randomized to withdraw vs continue with ß-blocker treatment. After 2 weeks, they were crossed over to receive the opposite intervention. This crossover randomized clinical trial examined the short-term effect of ß-blocker withdrawal on peak VO2. Main Outcomes and Measures: The primary outcome was to evaluate the association between ß-blocker withdrawal and short-term changes in percentage of peak VO2 across iLVEDV, iLVESV, and LVEF in patients with HFpEF and chronotropic incompetence treated with ß-blocker. Results: A total of 52 patients (mean age, 73 [SD, 13] years; 60% female) were randomized. The mean resting HR, peak HR, peak VO2, and percentage of peak VO2 were 65 (SD, 9) beats per minute (bpm), 97 (SD, 15) bpm, 12.4 (SD, 2.9) mL/kg per minute, and 72.4% (SD, 17.7%), respectively. The medians (minimum-maximum) of iLVEDV, iLVESV, and LVEF were 44 mL/m2 (IQR, 19-82), 15 mL/m2 (IQR, 7-32), and 64% (IQR, 52%-78%), respectively. After stopping ß-blocker treatment, the median increase in peak HR was plus 30 bpm (95% CI, 25-35; P < .001). ß-Blocker cessation was differentially associated with change of percentage of peak VO2 across the continuum of iLVESV (P for interaction = .02), indicating a greater benefit in those with lower iLVESV. Conclusions and Relevance: In this study, results showed that in patients with HFpEF and chronotropic incompetence receiving treatment with ß-blocker, lower iLVESV may identify those with a greater short-term improvement in maximal functional capacity after stopping ß-blocker treatment. Further studies are warranted for further investigation. Trial Registration: ClinicalTrials.gov (NCT03871803).

Classification tree obtained by artificial intelligence for the prediction of heart failure after acute coronary syndromes. / Árboles de clasificación obtenidos mediante inteligencia artificial para la predicción de insuficiencia cardiaca tras el síndrome coronario agudo.

BACKGROUND: Coronary heart disease is the leading cause of heart failure (HF), and tools are needed to identify patients with a higher probability of developing HF after an acute coronary syndrome (ACS). Artificial intelligence (AI) has proven to be useful in identifying variables related to the development of cardiovascular complications. METHODS: We included all consecutive patients discharged after ACS in two Spanish centers between 2006 and 2017. Clinical data were collected and patients were followed up for a median of 53months. Decision tree models were created by the model-based recursive partitioning algorithm. RESULTS: The cohort consisted of 7,097 patients with a median follow-up of 53months (interquartile range: 18-77). The readmission rate for HF was 13.6% (964 patients). Eight relevant variables were identified to predict HF hospitalization time: HF at index hospitalization, diabetes, atrial fibrillation, glomerular filtration rate, age, Charlson index, hemoglobin, and left ventricular ejection fraction. The decision tree model provided 15 clinical risk patterns with significantly different HF readmission rates. CONCLUSIONS: The decision tree model, obtained by AI, identified 8 leading variables capable of predicting HF and generated 15 differentiated clinical patterns with respect to the probability of being hospitalized for HF. An electronic application was created and made available for free.