N-terminal pro-B-type natriuretic peptide and pulmonary echography are predictors of acute heart failure needing early mechanical ventilation in acute coronary syndrome.

AIM: The aim of this study was to determine the best clinical predictors of acute heart failure needing mechanical ventilation (MV) in the first 48 h of evolution of patients admitted because of acute coronary syndrome (ACS). METHODS: We analyzed a cohort of patients admitted for ACS between February 2017 and February 2018. A pulmonary ultrasound was performed on admission and was considered positive (PE+) when there were three or more B-lines in two quadrants or more of each hemithorax. It was compared with N-terminal pro-B-type natriuretic peptide (NT-proBNP), peak troponin T-us value GRACE (Global Registry of Acute Coronary Events), CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology and American Heart Association guidelines - Bleeding Score), CACS (Canada Acute Coronary Syndrome risk score), and HAMIOT (Heart Failure after Acute Myocardial Infarction with Optimal Treatment score) scores, shock index, ejection fraction, chest X-ray, and Killip class at admission as predictors of MV in the first 48 h of admission. RESULTS: A total of 119 patients were included: 54.6% with ST elevation and 45.4% without ST elevation. Twelve patients (10.1%) required MV in the first 48 h of evolution. The sensitivity of PE+ was 100% (73.5-100%), specificity 91.6% (84.6-96.1%), and area under the curve was 0.96 (0.93-0.96). The sensitivity of an NT-proBNP value more than 3647 was 88.9% (51.9-99.7%), specificity 92.1% (84.5-96.8%), and area under the curve was 0.905 (0.793-1). The κ statistic between both predictors was 0.579. All the other scores were significantly worse than PE + . CONCLUSION: Lung ultrasound and a high NT-proBNP (3647 ng/L in our series) on admission are the best predictors of acute heart failure needing MV in the first 48 h of ACS. The agreement between both tests was only moderate.

Recent advances in the pharmacotherapy of pulmonary hypertension: practical considerations.

Pulmonary arterial hypertension (PAH) is a rare disease characterized by pulmonary vascular remodeling leading to increased vascular resistance. The increased afterload contributes to the development of right ventricular dysfunction and heart failure, which is the leading cause of death among patients with PAH. The development of specific treatments has markedly improved the prognosis of this population. However, PAH continues to be an incurable, life­limiting condition, which creates a major burden for healthcare systems. This review describes the currently used treatments for PAH and provides insight into novel therapeutic targets that aim to reduce vascular remodeling, which ultimately leads to right ventricular failure.

Identification of the culprit artery in inferior myocardial infarction through the 12-lead ECG.

BACKGROUND: Identification of the culprit artery can be helpful in the management of inferior infarction with ST-segment elevation myocardial infarction. Some studies suggest that previously published algorithms intended to help identify the infarct-related artery are suboptimal. Our aim is to develop a better method to localise the culprit artery on the basis of the 12-lead ECG. PATIENTS AND METHODS: We analysed the ECG and coronary angiograms of two different cohorts of patients with inferior ST-segment elevation myocardial infarction. Patients from the first cohort were labelled the derivative cohort (group A), whereas patients in the second cohort were labelled the validation cohort (group B). ST-segment elevation was measured in each lead, and a multiple logistic regression analysis was carried out to determine the best equation to predict the culprit artery. A derived algorithm was then applied to the validation cohort. Next, our algorithm was applied to the total cohort of both groups and compared with four different previously published algorithms. We analysed differences in sensitivity, specificity and area under the curve (AUC). RESULTS: We included 252 patients in the derivative group and 90 in the validation group. The multiple models analysis concluded that the best model should include five leads. This model was validated by internal bootstrapping with 1000 repetitions in group A and externally in group B. The resultant algorithm was as follows: (ST-elevation in III + aVF + V3) - (ST-elevation in II + V6) less than 0.75 mm means that the culprit artery is the left circumflex artery (Cx). If the result is at least 0.75, the culprit artery is the right coronary artery. The total group of both cohorts comprised 342 patients, aged 61.2 ± 12.4 years, of whom 19.6% were female and 80.4% were male. The Cx was the culprit artery in 67 (19.6%) patients. Our algorithm had a sensitivity of 72.3, a specificity of 80.9 and an AUC of 0.766. The AUC value was better compared with the other algorithms. CONCLUSION: The best algorithm to localise the culprit artery includes ST-elevation in leads II and V6 related to Cx, and ST-elevation in leads III, aVF and V3 related to right coronary artery. Our algorithm has been validated internally and externally, and works better than other previously published algorithms.

Prognostic implication of early ventricular fibrillation among patients with ST elevation myocardial infarction.

OBJECTIVE: The aim of this study was to analyze the prognosis of patients presenting early ventricular fibrillation (VF) in the setting of ST elevation myocardial infarction (STEMI). PATIENTS AND METHODS: Among patients included in the ARIAM (Análisis del Retraso en el Infarto Agudo de Miocardio) registry with the diagnosis of STEMI, those who received primary revascularization and were admitted in the first 12 h were analyzed retrospectively. RESULTS: From January 2007 to January 2012, 8340 patients were included in the STEMI cohort and 680 (8.2%) of them presented with VF before admission to the ICU (VF). This group comprised younger patients with fewer comorbidities. They received more often primary angioplasty (33.7 vs. 24.9%; P<0.001), had more prevalence of Killip class greater than or equal to 2 at admission (37.5 vs. 17.8%; P<0.001), and suffered more often cardiogenic shock (18.5 vs. 5.9%, P<0.001). By logistic regression analysis, VF was associated with a greater in-hospital mortality [odds rate (OR): 2.08, 95% confidence interval (CI): 1.57-2.81, P<0.001]. After a propensity score matching process, VF was associated with in-hospital mortality (OR: 1.53, 95% CI: 1.05-2.25, P=0.028). However, when analyzing patients treated by primary angioplasty, the mortality was not significantly related to VF (OR: 0.86, 95% CI: 0.45-1.61, P=0.628). CONCLUSION: Our results show that VF before ICU admission was an independent predictor of in-hospital outcome in a cohort of patients in whom fibrinolysis was the most used revascularization therapy. However, this prognostic value was not found in patients treated with primary angioplasty.