Risk Score for Prediction of Dialysis After Transcatheter Aortic Valve Replacement.

BACKGROUND: Dialysis is a rare but serious complication after transcatheter aortic valve replacement. We analyzed the large multicenter TRITAVI (transfusion requirements in transcatheter aortic valve implantation) registry in order to develop and validate a clinical score assessing this risk. METHODS AND RESULTS: A total of 10 071 consecutive patients were enrolled in 19 European centers. Patients were randomly assigned (2:1) to a derivation and validation cohort. Two scores were developed, 1 including only preprocedural variables (TRITAVIpre) and 1 also including procedural variables (TRITAVIpost). In the 6714 patients of the derivation cohort (age 82±6 years, 48% men), preprocedural factors independently associated with dialysis and included in the TRITAVIpre score were male sex, diabetes, prior coronary artery bypass graft, anemia, nonfemoral access, and creatinine clearance <30 mL/min per m2. Additional independent predictors among procedural features were volume of contrast, need for transfusion, and major vascular complications. Both scores showed a good discrimination power for identifying risk for dialysis with C-statistic 0.78 for TRITAVIpre and C-statistic 0.88 for TRITAVIpost score. Need for dialysis increased from the lowest to the highest of 3 risk score groups (from 0.3% to 3.9% for TRITAVIpre score and from 0.1% to 6.2% for TRITAVIpost score). Analysis of the 3357 patients of the validation cohort (age 82±7 years, 48% men) confirmed the good discrimination power of both scores (C-statistic 0.80 for TRITAVIpre and 0.81 for TRITAVIpost score). Need for dialysis was associated with a significant increase in 1-year mortality (from 6.9% to 54.4%; P=0.0001). CONCLUSIONS: A simple preprocedural clinical score can help predict the risk of dialysis after transcatheter aortic valve replacement.

Mechanical Unloading of the Left Ventricle before Coronary Reperfusion in Preclinical Models of Myocardial Infarction without Cardiogenic Shock: A Meta-Analysis.

Aim: to compare a conventional primary reperfusion strategy with a primary unloading approach before reperfusion in preclinical studies. Methods: we performed a meta-analysis of preclinical studies. The primary endpoint was infarct size (IS). Secondary endpoints were left ventricle end-diastolic pressure (LVEDP), mean arterial pressure (MAP), heart rate (HR), cardiac output (CO). We calculated mean differences (MDs) and associated 95% confidence intervals (CIs). Sensitivity and subgroup analyses on the primary and secondary endpoints, as well as a meta-regression on the primary endpoint using the year of publication as a covariate, were also conducted. Results: 11 studies (n = 142) were selected and entered in the meta-analysis. Primary unloading reduced IS (MD −28.82, 95% CI −35.78 to −21.86, I2 96%, p < 0.01) and LVEDP (MD −3.88, 95% CI −5.33 to −2.44, I2 56%, p = 0.02) and increased MAP (MD 7.26, 95% CI 1.40 to 13.12, I2 43%, p < 0.01) and HR (MD 5.26, 95% CI 1.97 to 8.55, I2 1%, p < 0.01), while being neutral on CO (MD −0.11, 95% CI −0.95 to 0.72, I2 88%, p = 0.79). Sensitivity and subgroup analyses showed, overall, consistent results. The meta-regression on the primary endpoint demonstrated a significant influence of the year of publication on effect estimate. Conclusions: in animal models of myocardial infarction, a primary unloading significantly reduces IS and exerts beneficial hemodynamic effects compared to a primary reperfusion.

[Management of cardiogenic shock: a proposal for a shared protocol]. / Gestione dello shock cardiogeno: una proposta di percorso integrato.

Cardiogenic shock (CS) is a complex and relatively rare disease. Whilst its mortality remains unacceptably high, a multidisciplinary approach based on pre-established and shared protocols may improve prognosis and ensure appropriate resource allocation. Comprehensive hemodynamic assessment and monitoring as well as tailored, goal-directed medical therapy are part of an optimal management. Moreover, mechanical support devices may be helpful as they sustain hemodynamics to a greater extent as compared to inotropes and vasopressors, while lacking their cardiotoxic effects. Therefore, they are increasingly used in CS patients. In 2019, a new protocol for the management of patients with CS was adopted at the Ospedale Policlinico San Martino (HSM) in Genoa, Italy. Following in the footsteps of similar international experiences, the HSM protocol aims at streamlining the management of these high-risk patients improving the cooperation among healthcare specialists, and also addressing the key issues of mechanical support device implantation and appropriate referral for palliative care.

Long-term follow-up after Bentall operation using a stentless Shelhigh NR-2000 bio-conduit.

BACKGROUND: To analyze the long-term results after Bentall operation using the stentless Shelhigh No-React (NR)-2000 bio-root prosthesis. MATERIAL: From 2004 to 2008, 26 consecutive, nonselected patients (mean age at surgery: 67 ± 9 years) underwent a Bentall operation using a stentless Shelhigh valved conduit at our institution. Mean preoperative Logistic-EuroSCORE was 17.1 ± 12.9. The mean size of the aortic root was 53.2 ± 5 mm. The mean preoperative ejection fraction was 55 ± 7.4%. Three patients had a bicuspid valve. One patient with acute endocarditis and one patient with type A aortic dissection were operated on an emergency. Three patients (11.54%) had a previous cardiac operation. The Button-Bentall technique was used in all cases. Seven patients (26.92%) received an associated procedure. The mean size of the implanted prosthesis was 26.1 ± 2.2. Follow-up ranged between 6 and 174 months (mean 93.4 ± 59.1 months). Primary endpoints consisted of early and late mortality, freedom from acute endocarditis, freedom from structural valve deterioration, and freedom from valve-related-reoperation. RESULTS: Two patients died in hospital, while 10 patients died during follow-up time, of which three for cardiac causes (12.5%). Overall survival probability was 52.9% at 15 years. Freedom from acute endocarditis was 95.7% at 5 and 15 years. Freedom from severe aortic incompetence due to structural deterioration was 100% at 5 and 10 years, 90.9% at 15 years. The mean aortic gradient at follow-up was 11.4 ± 5 mm Hg. Freedom from valve-related reoperation was 100% at 5 and 10 years, 90.9% at 15 years. CONCLUSIONS: In our experience, Bentall's operation using the Shelhigh NR-2000 stentless bio-conduit provided satisfactory early and long-term results. However, our findings are not consistent with unfavorable long-term outcomes following the implantation of this device reported by other authors.

Growth properties of cardiac stem cells are a novel biomarker of patients' outcome after coronary bypass surgery.

BACKGROUND: The efficacy of bypass surgery in patients with ischemic cardiomyopathy is not easily predictable; preoperative clinical conditions may be similar, but the outcome may differ significantly. We hypothesized that the growth reserve of cardiac stem cells (CSCs) and circulating cytokines promoting CSC activation are critical determinants of ventricular remodeling in this patient population. METHODS AND RESULTS: To document the growth kinetics of CSCs, population-doubling time, telomere length, telomerase activity, and insulin-like growth factor-1 receptor expression were measured in CSCs isolated from 38 patients undergoing bypass surgery. Additionally, the blood levels of insulin-like growth factor-1, hepatocyte growth factor, and vascular endothelial growth factor were evaluated. The variables of CSC growth were expressed as a function of the changes in wall thickness, chamber diameter and volume, ventricular mass-to-chamber volume ratio, and ejection fraction, before and 12 months after surgery. A high correlation was found between indices of CSC function and cardiac anatomy. Negative ventricular remodeling was not observed if CSCs retained a significant growth reserve. The high concentration of insulin-like growth factor-1 systemically pointed to the insulin-like growth factor-1-insulin-like growth factor-1 receptor system as a major player in the adaptive response of the myocardium. hepatocyte growth factor, a mediator of CSC migration, was also high in these patients preoperatively, as was vascular endothelial growth factor, possibly reflecting the vascular growth needed before bypass surgery. Conversely, a decline in CSC growth was coupled with wall thinning, chamber dilation, and depressed ejection fraction. CONCLUSIONS: The telomere-telomerase axis, population-doubling time, and insulin-like growth factor-1 receptor expression in CSCs, together with a high circulating level of insulin-like growth factor-1, represent a novel biomarker able to predict the evolution of ischemic cardiomyopathy following revascularization.

Correlation between signal-averaged ECG and the histologic evaluation of the myocardial substrate in right ventricular outflow tract arrhythmias.

BACKGROUND: The differential diagnosis between idiopathic and cardiomyopathy-related right ventricular outflow tract (RVOT) ventricular arrhythmias (VAs) is crucial. Signal-averaged ECG (SAECG) abnormalities are frequent in cardiomyopathy-related RVOT-VAs, although their pathophysiologic basis and diagnostic value in this setting are undefined. We tested the association between SAECG and the myocardial substrate underlying RVOT-VAs. METHODS AND RESULTS: Twenty-four consecutive patients (median age, 50 years [42-59]; 12 men) with RVOT-VAs (10 with frequent [>1000/24 hours] premature ventricular contractions, 14 with ventricular tachycardias) underwent SAECG with 40-Hz filtering and electroanatomic mapping (EAM) with EAM-guided biopsy for characterization of the RVOT-VAs substrate. A filtered averaged QRS (fQRS) was obtained and analyzed for fQRS duration, low amplitude signal duration<40 mV (LAS40), and root-mean-square voltage in the last 40 ms of the QRS (RMS40). Standard definition of EAM scar was used. EAM-guided biopsy diagnosed ARVC in 11 (46%), myocarditis in 8 (33%), and idiopathic RVOT-VAs in 5 (21%) patients. Patients with cardiomyopathy-related RVOT-VAs had ≥1 EAM scar (median, 2 [1-2]; all with RVOT scar). EAM of patients with idiopathic RVOT-VAs was normal. Patients with cardiomyopathy-related RVOT-VAs had significantly longer fQRS (106 ms [92-132] versus 83 ms [82-84], P=0.01) and LAS40 (39 ms [36-51] versus 19 ms [18-21], P=0.02), and lower RMS40 (18 µV [9-26] versus 33 µV [32-33], P=0.04). A significant linear correlation was found between the extension (cm2) of the RVOT scar and all 3 SAECG parameters (rs=0.76, P<0.001 for the fQRSd; rs=0.73, P<0.001 for the LAS40; and rs=-0.72, P<0.001 for the RMS40). Using the established 2 of 3 criteria (ie, late potentials), SAECG diagnosed cardiomyopathy-related RVOT-VAs with high positive (100%) but low negative (38%) predictive values and missed 7 of 9 (78%) patients with RVOT scar<8 cm2. CONCLUSIONS: In patients with RVOT-VAs, abnormal SAECG parameters reflect the presence of extensive cardiomyopathic involvement of the RVOT. However, a negative SAECG does not reliably rule out cardiomyopathy-related RVOT-VAs in the presence of a small RVOT scar.

Association of heart rate variability with arrhythmic events in patients with arrhythmogenic right ventricular cardiomyopathy/dysplasia.

BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC/D) is associated with an increased risk of sudden cardiac death (SCD). Risk stratification of ARVC/D patients, however, remains an unresolved issue. In this study we investigated whether heart rate variability (HRV) can be helpful in identifying ARVC/D patients with increased risk of arrhythmic events. METHODS AND RESULTS: We studied 30 consecutive patients (17 males; 45.4 ± 18 years) with ARVC/D, diagnosed according to guideline criteria; 15 patients (50%) had received an implantable cardioverter defibrillator (ICD) for primary SCD prevention. HRV was assessed on 24-h ECG Holter monitoring. The primary endpoint was the occurrence of major arrhythmic events (SCD, sustained ventricular tachycardia (VT), ICD therapy for sustained VT or ventricular fibrillation (VF)). During the follow-up period (19 ± 7 months), no deaths occurred, but 5 patients (17%) experienced arrhythmic events (4 VTs and 1 VF, all in the ICD group). All HRV parameters were significantly lower in patients with, compared with those without, arrhythmic events. Low-frequency amplitude was the most significant HRV variable associated with arrhythmic events in univariate Cox regression analysis (P=0.017), and was the only significant predictor of arrhythmic events in multivariable regression analysis (hazard ratio 0.88, P=0.047), together with unexplained syncope (hazard ratio 16.1, P=0.039). CONCLUSIONS: Our data show that among ARVC/D patients HRV analysis might be helpful in identifying those with increased risk of major arrhythmic events.

Noninvasive diagnosis of electroanatomic abnormalities in arrhythmogenic right ventricular cardiomyopathy.

BACKGROUND: The diagnostic reliability and pathophysiologic relevance of different noninvasive diagnostic criteria for arrhythmogenic right ventricular cardiomyopathy (ARVC) are undefined. We tested the association between noninvasive diagnostic criteria for ARVC and the presence of low-voltage areas (LVAs) detected at electroanatomic voltage mapping (EAM). METHODS AND RESULTS: Noninvasive diagnostic criteria, including ECG, signal-averaged ECG (SAECG), and cardiac magnetic resonance (CMR) criteria, were compared with the presence and location of LVAs detected at right ventricular (RV) EAM in 17 patients (9 men) aged 50 ± 16 years with biopsy specimen-proven ARVC. LVAs were found in 15 (88%) patients. Patients with surface ECG abnormalities showed a higher degree of RV involvement than those without ECG abnormalities (number of LVAs, 1.8 ± 0.5 versus 0.9 ± 0.6, respectively; P < 0.01). A significant association was found between SAECG abnormalities and LVAs in the RV outflow tract (P = 0.03) but not between SAECG parameters and LVAs in other RV regions. Among CMR findings, RV delayed enhancement was more significantly associated with the distribution of LVAs (free wall, P < 0.01; outflow tract, P < 0.01; posteroinferior wall, P = 0.02). Regional RV dysfunction also showed a good correlation with LVAs, with the most significant association being found with the free wall (P = 0.01), whereas RV fat infiltration at CMR was not correlated with LVAs. CONCLUSION: In patients with ARVC, SAECG abnormalities correlate with the presence of LVAs selectively in the RV outflow tract, whereas surface ECG abnormalities are associated with a more diffuse RV involvement. Myocardial delayed enhancement is the CMR finding more strongly associated with LVAs, thus supporting the appropriateness of its inclusion among diagnostic criteria for ARVC.