Women with Acute Myocardial Infarction: Clinical Characteristics, Treatment, and In-Hospital Outcomes from a Latin American Country.

Background: Women are underrepresented in acute myocardial infarction (AMI) studies. Furthermore, there is scarce information regarding women with AMI in Latin America. Aims: To describe the presentation, clinical characteristics, risk factor burden, evidence-based care, and in-hospital outcome in a population of women with AMI admitted to a coronary care unit (CCU) in Mexico. Methods: Retrospective cohort study including patients with AMI admitted from January 2006 to December 2021 in a CCU. We identified patients with ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI). We described demographic characteristics, clinical variables, treatment, and in-hospital outcomes according to gender. Cox regression analysis was used to identify predictors of mortality. Results: Our study included 12,069 patients with AMI, of whom 7,599 had STEMI and 4,470 had NSTEMI. Women represented 19.6% of the population. Women had higher rates of hypertension, diabetes, stroke, and atrial fibrillation than men. For STEMI, women were less likely to receive reperfusion therapy (fibrinolysis; 23.7 vs. 28.5%, p < 0.001 and primary percutaneous coronary intervention (PCI); 31.2 vs. 35.1%, p = 0.001) and had more major adverse events than men: heart failure (4.2 vs. 2.5%, p = 0.002), pulmonary edema (3.4% vs. 1.7%, p < 0.001), major bleeding (2.1% vs. 1%, p = 0.002), stroke (1.3% vs. 0.6%, p = 0.008), and mortality (15.1% vs. 8.1%, p < 0.001). For NSTEMI, women were less likely to undergo coronary angiography or PCI and had more major bleeding and mortality. Multivariate Cox regression analysis revealed that females had an increase in mortality in STEMI and NSTEMI (HR 1.21, CI 1.01-1.47, p = 0.05 and HR 1.39, CI 1.06-1.81, p = 0.01). Conclusion: Real-world evidence from a hospital in a Latin American low- to middle-income country (LMIC) showed that women with AMI had more comorbidities, received less reperfusion treatment or invasive strategies, and had worse outcomes. In STEMI and NSTEMI, female gender represented an independent predictor of in-hospital mortality.

Focused Transesophageal Echocardiography in Critical Care: The COVID-19 Pandemic.

Background: The use of transesophageal echocardiography (TEE) is controversial in patients with COVID-19. The aim of this case series was to demonstrate the usefulness of transesophageal echocardiography in acute cardiovascular care settings in patients with COVID-19 infection. Materials and Methods: We enrolled 13 patients with confirmed SARS-CoV-2 infection admitted to the critical care unit of our center from April 1, 2020, to July 30, 2020, in which transesophageal echocardiography was performed. TOE was performed by three cardiologists with training in echocardiography. Results: The main indication was suspected infective endocarditis in four cases, venovenous extracorporeal membrane oxygenation cannulation in four cases, suspected prosthetic mitral valve dysfunction in two patients, suspected pulmonary embolism in two patients, and acute right ventricular dysfunction and prone position ventilation in one patient. The final diagnosis was confirmed in 11 patients and discarded in 2 patients. None of the operators result infected. Conclusions: TOE is safe in the context of COVID-19 infection; it must be performed in well-selected cases and in a targeted manner.

Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography.

Cardiovascular disease is a leading cause of death among cancer survivors, second only to cancer recurrence or development of new tumors. Cardio-oncology has therefore emerged as a relatively new specialty focused on prevention and management of cardiovascular consequences of cancer therapies. Yet challenges remain regarding precision and accuracy with predicting individuals at highest risk for cardiotoxicity. Barriers such as access to care also limit screening and early diagnosis to improve prognosis. Thus, developing innovative approaches for prediction and early detection of cardiovascular illness in this population is critical. In this review, we provide an overview of the present state of machine learning applications in cardio-oncology. We begin by outlining some factors that should be considered while utilizing machine learning algorithms. We then examine research in which machine learning has been applied to improve prediction of cardiac dysfunction in cancer survivors. We also highlight the use of artificial intelligence (AI) in conjunction with electrocardiogram (ECG) to predict cardiac malfunction and also atrial fibrillation (AF), and we discuss the potential role of wearables. Additionally, the article summarizes future prospects and critical takeaways for the application of machine learning in cardio-oncology. This study is the first in a series on artificial intelligence in cardio-oncology, and complements our manuscript on echocardiography and other forms of imaging relevant to cancer survivors cared for in cardiology clinical practice.

Case report: Polyarteritis nodosa as a substrate for a massive myocardial infarction.

This report describes a rare case of a global myocardial infarction caused by severe vasospasm of the coronary arteries secondary to the administration of pyridostigmine in a patient with polyarteritis nodosa (PAN). Details about the clinical presentation, the typical electrocardiographic pattern of multivessel disease, the differential diagnoses suspected in the multi-imaging approach, and the treatment of cardiogenic shock are described. The definitive diagnosis of infarction and the histopathological findings compatible with polyarteritis nodosa were made by autopsy.

Right ventricular dysfunction and right ventricular-arterial uncoupling at admission increase the in-hospital mortality in patients with COVID-19 disease.

BACKGROUND: Coronavirus disease 2019 (COVID-19) frequently involves cardiovascular manifestations such as right ventricular (RV) dysfunction and alterations in pulmonary hemodynamics. We evaluated the application of the critical care ultrasonography ORACLE protocol to identify the most frequent alterations and their influence on adverse outcomes, especially those involving the RV (dilatation and dysfunction). METHODS: This cross-sectional study included 204 adult patients with confirmed COVID-19 admitted at three centers. Echocardiography and lung ultrasound images were acquired on admission using the ORACLE ultrasonography algorithm. RESULTS: Two-hundred and four consecutive patients were evaluated: 22 (11.9%) demonstrated a fractional shortening of < 35%; 33 (17.1%) a tricuspid annular plane systolic excursion (TAPSE) of < 17 mm; 26 (13.5%) a tricuspid peak systolic S wave tissue Doppler velocity of < 9.5 cm/sec; 69 (37.5%) a RV basal diameter of > 41 mm; 119 (58.3%) a pulmonary artery systolic pressure (PASP) of > 35 mm Hg; and 14 (11%) a TAPSE/PASP ratio of < .31. The in-hospital mortality rate was 37.6% (n = 71). Multiple logistic regression modeling showed that PASP > 35 mm Hg, RV FS of < 35%, TAPSE < 17 mm, RV S wave < 9.5, and TAPSE/PASP ratio < .31 mm/mm Hg were associated with this outcome. PASP and the TAPSE/PASP ratio had the lowest feasibility of being obtained among the investigators (62.2%). CONCLUSION: The presence of RV dysfunction, pulmonary hypertension, and alteration of the RV-arterial coupling conveys an increased risk of in-hospital mortality in patients presenting with COVID-19 upon admission; therefore, searching for these alterations should be routine. These parameters can be obtained quickly and safely with the ORACLE protocol.

Lung ultrasound for the identification of COVID-19 pneumonia.

The SARS-CoV-2 infection has as a clinical manifestation the disease known as COVID-19. Although knowledge of the nature of the disease is dynamic, with dozens of scientific articles being published every day about new features of COVID-19, the typical presentation is that of interstitial pneumonia. Despite the large amount of information that has been developed in recent weeks, it has been estimated that this disease can have up to 72% underdiagnosis, which requires clinical tools that are simple, easily accessible, and increase the detection of cases in a feasible way and that yield information with prognostic value. Given this need, some proposals have emerged to be able to diagnose, monitor and respond to the treatment of patients with COVID-19, such as pulmonary ultrasound (USP). It is worth mentioning that the USP has proven to be an efficient and easily reproducible technique for diagnosing heart failure and pleuro-pulmonary pathologies, especially in critically ill patients. Evidence of the usefulness of USP in COVID-19 is still scarce, although preliminary, it seems to be a sensitive technique whose findings have a high gold standard. In this brief review we will emphasize its technical aspects, the advantages and disadvantages, and finally a proposal for the approach in this type of patient.

La infección por SARS-CoV-2 tiene como manifestación clínica la enfermedad conocida como COVID-19. Si bien el conocimiento de la naturaleza de la enfermedad es dinámico, publicándose cada día decenas de artículos científicos sobre nuevas características de COVID-19, la presentación típica es la de neumonía intersticial. A pesar de la gran cantidad de información que se ha desarrollado en las últimas semanas, se ha estimado que esta enfermedad puede llegar a tener hasta un 72% de infradiagnóstico, por lo que se requieren herramientas clínicas que sean simples, de fácil acceso, que incrementen la detección de casos de forma factible y que arrojen información con valor pronóstico. Ante esta necesidad, han surgido algunas propuestas para poder realizar el diagnóstico, seguimiento y respuesta al tratamiento de los pacientes con COVID-19, tales como el ultrasonido pulmonar (USP). Cabe mencionar que el USP ha probado ser una técnica eficiente y de fácil reproducibilidad para diagnosticar insuficiencia cardiaca y patologías pleuro-pulmonares, sobre todo en pacientes críticamente enfermos. La evidencia de la utilidad de USP en COVID-19 es aún escasa, aunque de forma preliminar, parece ser una técnica sensible cuyos hallazgos tienen una elevada gold-standard. En esta breve revisión haremos énfasis en sus aspectos técnicos, las ventajas y desventajas, y por último una propuesta para el abordaje en este tipo de pacientes.