Predictive Model and Risk Score for In-Hospital Mortality in Patients with All-Cause Cardiogenic Shock.

Cardiogenic shock (CS) is a condition associated with high morbidity and mortality. Our study aimed to perform a risk score for in-hospital mortality that allows for stratifying the risk of death in patients with CS.This is a retrospective analysis, which included 135 patients from a Spanish university hospital between 2011 and 2020. The Santiago Shock Score (S3) was created using clinical, analytical, and echocardiographic variables obtained at the time of admission.The in-hospital mortality rate was 41.5%, and acute coronary syndrome (ACS) was the responsible cause of shock in 60.7% of patients. Mitral regurgitation grade III-IV, age, ACS etiology, NT-proBNP, blood hemoglobin, and lactate at admission were included in the score. The S3 had good accuracy for predicting in-hospital mortality area under the receiver operating characteristic curve (AUC) 0.85 (95% confidence interval (CI) 0.78-0.90), higher than the AUC of the CardShock score, which was 0.74 (95% CI 0.66-0.83). Predictive power in a cohort of 131 patients with profound CS was similar to that of CardShock with an AUC of 0.601 (95% CI 0.496-0.706) versus an AUC of 0.558 (95% CI 0.453-0.664). Three risk categories were created according to the S3: low (scores 0-6), intermediate (scores 7-10), and high (scores 11-16) risks, with an observed mortality of 12.9%, 49.1%, and 87.5% respectively (P < 0.001).The S3 score had excellent predictive power for in-hospital mortality in patients with nonprofound CS. It could aid the initial risk stratification of patients and thus, guide treatment and clinical decision making in patients with CS.

Antithrombotic Strategy in Secondary Prevention for High-Risk Patients with Previous Acute Coronary Syndrome: Overlap between the PEGASUS Eligibility and the COMPASS Eligibility in a Large Multicenter Registry.

BACKGROUND: Patients with previous acute coronary syndrome (ACS) are at high risk of recurrent adverse cardiovascular events. Recently, prolonged dual antiplatelet therapy (DAPT) and oral anticoagulation therapy (OAT) have been shown to reduce recurrent ischemic events to the expense of an increase in bleeding events. The number of patients potentially eligible for these therapies in real life remains to be determined. METHODS: Among ACS patients from five registries and one randomized controlled trial, we assessed the proportion of patients eligible for the PEGASUS strategy only and the proportion of patients eligible for the COMPASS strategy only, and set out the proportion of patients with an overlap between the strategies. FINDINGS: Among the 10,048 evaluable patients, we found that 5373 (53.4%) were eligible for the PEGASUS strategy and 3841 (38.2%) were eligible for the COMPASS strategy, with a group of 3444 (34.4%) overlapping between the two strategies. The number of patients eligible for the PEGASUS strategy only was 1929 (19.2%) and the number eligible for the COMPASS strategy only was 397 (4.0%); 4278 (42.6%) were eligible for neither a PEGASUS strategy nor a COMPASS strategy. INTERPRETATION: In a large cohort of ACS patients, one in three patients was eligible for either a prolonged DAPT with ticagrelor 60 mg and low-dose aspirin or a dual pathway inhibition approach with rivaroxaban 2.5 mg and low-dose aspirin.

The Future of Telemedicine in the Management of Heart Failure Patients.

Telemedicine (TM) is potentially a way of escalating heart failure (HF) multidisciplinary integrated care. Despite the initial efforts to implement TM in HF management, we are still at an early stage of its implementation. The coronavirus disease 2019 pandemic led to an increased utilisation of TM. This tendency will probably remain after the resolution of this threat. Face-to-face medical interventions are gradually transitioning to the virtual setting by using TM. TM can improve healthcare accessibility and overcome geographic inequalities. It promotes healthcare system efficiency gains, and improves patient self-management and empowerment. In cooperation with human intervention, artificial intelligence can enhance TM by helping to deal with the complexities of multicomorbidity management in HF, and will play a relevant role towards a personalised HF patient approach. Artificial intelligence-powered/telemedical/heart team/multidisciplinary integrated care may be the next step of HF management. In this review, the authors analyse TM trends in the management of HF patients and foresee its future challenges within the scope of HF multidisciplinary integrated care.

Influenza Vaccination for the Prevention of Cardiovascular Disease in the Americas: Consensus document of the Inter-American Society of Cardiology and the Word Heart Federation.

Background: Cardiovascular mortality is decreasing but remains the leading cause of death world-wide. Respiratory infections such as influenza significantly contribute to morbidity and mortality in patients with cardiovascular disease. Despite of proven benefits, influenza vaccination is not fully implemented, especially in Latin America. Objective: The aim was to develop a regional consensus with recommendations regarding influenza vaccination and cardiovascular disease. Methods: A multidisciplinary team composed by experts in the management and prevention of cardiovascular disease from the Americas, convened by the Inter-American Society of Cardiology (IASC) and the World Heart Federation (WHF), participated in the process and the formulation of statements. The modified RAND/UCLA methodology was used. This document was supported by a grant from the WHF. Results: An extensive literature search was divided into seven questions, and a total of 23 conclusions and 29 recommendations were achieved. There was no disagreement among experts in the conclusions or recommendations. Conclusions: There is a strong correlation between influenza and cardiovascular events. Influenza vaccination is not only safe and a proven strategy to reduce cardiovascular events, but it is also cost saving. We found several barriers for its global implementation and potential strategies to overcome them.

Relationship between epicardial adipose tissue adipocyte size and MCP-1 expression.

Adipocyte size has been associated to increase in inflammatory cytokines expression that can be related to the cardiovascular risk of obesity. Epicardial adipose tissue (EAT) was discovered to play a key role in cardiovascular diseases by producing several inflammatory adipokines. We sought to study whether EAT and subcutaneous adipose tissue (SAT) mean adipocyte sizes are related to the expression of adipokines in patients with cardiovascular diseases. We collected EAT, SAT and blood samples from 22 patients aged 70.9 (s.d. 10.3) undergoing heart surgery. Monocyte chemoattractant protein (MCP)-1, interleukin (IL)-10 and tumor necrosis factor (TNF)-alpha were analyzed by real time RT-PCR, ELISA or immunohistochemistry. Hematoxylin-eosin staining was used for adipocyte area calculations. Adipocyte size is negatively correlated to MCP-1 expression (r=-0.475; p=0.034) in EAT and positively correlated in SAT (r=0.438; p=0.047). These trends persisted after stratification for sex and coronary artery disease (CAD), but only the relationship between EAT MCP-1 and adipocyte size reached statistical significance in the larger group of men with CAD. We have observed that SAT adipocyte size is correlated to BMI (r=0.601; p=0.003); whereas only a non-statistically significant trend was observed in EAT. IL-10 and TNF-alpha expression were not associated to adipocyte size in EAT nor SAT. Secondarily, we found that EAT IL-10 expression is higher in patients with CAD. These results suggest that adipocyte size is a negative determinant of MCP-1 expression in EAT and a positive determinant in SAT. These data might partly explain the different implications of EAT and SAT in cardiovascular diseases.

Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome: The BleeMACS score.

BACKGROUND: Accurate 1-year bleeding risk estimation after hospital discharge for acute coronary syndrome (ACS) may help clinicians guide the type and duration of antithrombotic therapy. Currently there are no predictive models for this purpose. The aim of this study was to derive and validate a simple clinical tool for bedside risk estimation of 1-year post-discharge serious bleeding in ACS patients. METHODS: The risk score was derived and internally validated in the BleeMACS (Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome) registry, an observational international registry involving 15,401 patients surviving admission for ACS and undergoing percutaneous coronary intervention (PCI) from 2003 to 2014, engaging 15 hospitals from 10 countries located in America, Europe and Asia. External validation was conducted in the SWEDEHEART population, with 96,239 ACS patients underwent PCI and 93,150 without PCI. RESULTS: Seven independent predictors of bleeding were identified and included in the BleeMACS score: age, hypertension, vascular disease, history of bleeding, malignancy, creatinine and hemoglobin. The BleeMACS risk score exhibited a C-statistic value of 0.71 (95% CI 0.68-0.74) in the derivation cohort and 0.72 (95% CI 0.67-0.76) in the internal validation sample. In the SWEDEHEART external validation cohort, the C-statistic was 0.65 (95% CI 0.64-0.66) for PCI patients and 0.63 (95% CI 0.62-0.64) for non-PCI patients. The calibration was excellent in the derivation and validation cohorts. CONCLUSIONS: The BleeMACS bleeding risk score is a simple tool useful for identifying those ACS patients at higher risk of serious 1-year post-discharge bleeding. ClinicalTrials.govIdentifier: NCT02466854.

A comparative study of biomarkers for risk prediction in acute coronary syndrome-Results of the SIESTA (Systemic Inflammation Evaluation in non-ST-elevation Acute coronary syndrome) study.

OBJECTIVE: We compared the 1-year predictive value of several inflammatory and non-inflammatory biomarkers in ACS patients. METHODS: In 610 patients (73.0% male)--36.0% unstable angina (UA) and 64.0% NSTEMI--we assessed high-sensitivity C-reactive protein (hs-CRP), interleukins 6, 10 and 18, soluble CD40 ligand, P- and E-selectin, NT-proBNP, fibrinogen and cystatin C at hospital admission. Two outcomes at 1-year follow up were selected for analysis: (1) all-cause death, MI, UA, or coronary revascularization, and (2) all-cause death, and non-fatal MI. The effect of biomarker levels on endpoints was examined by the Cox proportional hazards model, and their discrimination ability with the C statistic (AUC). RESULTS: Of 549 patients (90.0%) who completed the 1-year follow up, 206 (37.5%) and 54 (8.9%) reached the first and second composite endpoints, respectively. None of the biomarkers studied improved prediction of the first endpoint. However, considered as continuous variables, and in combination, NT-proBNP and fibrinogen, increased the AUC from 0.64 (95% CI 0.55-0.72) to 0.73 (95% CI 0.64-0.81; p=0.02) for prediction of the second endpoint. Cut-off values for NT-proBNP and fibrinogen, regarding best sensitivity and specificity for prediction of the secondary endpoint were 1043.9 ng/L and 4.47 mg/dL, respectively. For these cut-off points, sensitivity, specificity, positive predictive value and negative predictive value were 40.5% vs 59.5%, 83.3% vs 67.1%, 18.8% vs 14.9% and 93.5% vs 94.4% for NT-proBNP and fibrinogen, respectively. CONCLUSION: In ACS patients, inflammatory biomarkers offer modest incremental information to that provided by clinical risk markers. Fibrinogen and NT-proBNP measurements, however, improve cardiovascular risk prediction.

Long-term improvement of QT dispersion is unaffected by short-term changes in blood pressure during treatment of systemic hypertension with enalapril.

BACKGROUND: We report the reduction of QT and QTc dispersion in patients treated for 7 years with enalapril for systemic hypertension with left ventricular (LV) hypertrophy. We assess the correlation between QT dispersion and LV mass during this period and at the end of an 8-week period of suspension of enalapril treatment after 5 years. METHODS: Twenty-four previously untreated patients with this condition took enalapril (20 mg twice daily) for 7 years, except during an 8-week period following 5-year follow-up. Cardiovascular parameters were determined by two-dimensional guided M-mode echocardiography, and QT interval was measured, in a pretreatment placebo phase, 8 weeks and 1, 3, 5, and 7 years after the start of the therapy, at the end of the 8-week suspension effected after 5 years, and 8 weeks after the end of the suspension. RESULTS: Therapy rapidly reduced blood pressure (BP) from 156/105 mmHg to normal values: 134/84 mmHg after 8 weeks' treatment, 130-84 mmHg at 7-year follow-up (P < 0.001 with respect to the placebo phase). LV mass index decreased progressively until at 5-year follow-up the reduction had reached 39% (P < 0.001), after which neither LV mass nor any other structural parameter underwent any further significant change. During this time, QT dispersion (DeltaQT) and the dispersion of "corrected" QT (DeltaQTc) decreased significantly: DeltaQT (from 61 +/- 21 to 37 +/- 13 ms) and DeltaQTc (from 67 +/- 27 to 41 +/- 16 ms). After suspension of treatment for 8 weeks following 5-year follow-up, DeltaQT was 40 +/- 14 ms and DeltaQTc was 44 +/- 17 ms; there were no significant changes either in DeltaQT and DeltaQTc or LV hypertrophy although BP had returned to pretreatment values (BP: 150 +/- 16; 101 +/- 10 mmHg). CONCLUSIONS: Long-term enalapril treatment of hypertensive patients with LV hypertrophy induces marked regression of LV mass and improvement of QT dispersion. These improvements occur on a longer timescale than improvement in BP, and are not affected by transient changes in BP values.