Acute Myocardial Infarction and Stress Cardiomyopathy Are Not Mutually Exclusive.

BACKGROUND: Stress cardiomyopathy is a transient cardiac syndrome characterized by reversible left ventricular systolic dysfunction precipitated by emotional or physiologic stress. The presence of obstructive coronary artery disease has been noted in stress cardiomyopathy. METHODS: We describe 3 case reports of patients with acute coronary syndrome and transient wall motion abnormalities not usually seen in the distribution of coronary artery disease. RESULTS: In these 3 cases of acute myocardial infarction, the distribution of the culprit coronary occlusion was not concordant with the territory of transient wall motion abnormality. Follow-up demonstrated resolution of the wall motion abnormalities without intervention in these territories. CONCLUSION: We believe that the physiologic stress of the acute coronary syndrome may have precipitated the stress cardiomyopathy as presented by these patients. This is the first demonstration that stress cardiomyopathy may be precipitated by acute coronary syndrome.

Trends and predictors of smoking cessation after percutaneous coronary intervention (from Olmsted County, Minnesota, 1999 to 2010).

Smoke-free ordinance implementation and advances in smoking cessation (SC) treatment have occurred in the past decade; however, little is known about their impact on SC in patients with coronary artery disease. We conducted a retrospective cohort study of 2,306 consecutive patients from Olmsted County, Minnesota, who underwent their first percutaneous coronary intervention (PCI) from 1999 to 2009, and assessed the trends and predictors of SC after PCI. Smoking status was ascertained by structured telephone survey 6 and 12 months after PCI (ending in 2010). The prevalence of smoking in patients who underwent PCI increased nonsignificantly from 20% in 1999 to 2001 to 24% in 2007 to 2009 (p = 0.14), whereas SC at 6 months after PCI decreased nonsignificantly from 50% (1999 to 2001) to 49% (2007 to 2009), p = 0.82. The 12-month quit rate did not change significantly (48% in 1999 to 2001 vs 56% in 2007 to 2009, p = 0.38), even during the time periods after the enactment of smoke-free policies. The strongest predictor of SC at 6 months after PCI was participation in cardiac rehabilitation (odds ratio [OR] 3.17, 95% confidence interval [CI] 2.05 to 4.91, p <0.001), older age (OR 1.42 per decade, 95% CI 1.16 to 1.73, p <0.001), and concurrent myocardial infarction at the time of PCI (OR 1.77, 95% CI 1.18 to 2.65, p = 0.006). One-year mortality was lower in the group of smokers compared with never smokers (3% vs 7%, p <0.001). In conclusion, SC rates have not improved after PCI over the past decade in our cohort, despite the presence of smoke-free ordinances and improved treatment strategies. Improvements in delivery of systematic services aimed at promoting SC (such as cardiac rehabilitation) should be part of future efforts to improve SC rates after PCI.

The prognostic importance of weight loss in coronary artery disease: a systematic review and meta-analysis.

OBJECTIVE: To assess the prognostic impact of weight loss on clinical outcomes in patients with coronary artery disease (CAD). METHODS: We performed a systematic review and meta-analysis of the prognostic effects of weight loss in patients with CAD on a composite outcome of all-cause mortality, cardiovascular mortality, and major adverse cardiac events considering studies published between January 1, 1964, and August 8, 2013. We considered weight loss "intentional" when it occurred in the presence of programmed therapeutic lifestyle changes and "observational" when no such intervention was specified. RESULTS: We searched 1218 abstracts, of which 12 studies with 14 cohorts met the inclusion criteria. A total of 35,335 patients (mean age, 64 years; 72% male; body mass index [BMI], 30; 3.2 years of follow-up) were included. Overall, weight loss was associated with a greater risk of the composite outcome (relative risk [RR], 1.30; 95% CI, 1.00-1.69; P=.05). However, heterogeneity was high (I(2)=90%) and was substantially explained by weight loss intentionality. Presumed intentional weight loss (4 cohorts) was associated with improved outcomes (RR, 0.67; 95% CI, 0.56-0.80; P<.001), whereas observational weight loss (10 cohorts) was associated with worsened outcomes (RR, 1.62; 95% CI, 1.26-2.08; P<.001; interaction P<.001). CONCLUSION: Whereas observational weight loss is associated with increased adverse cardiovascular events, intentional weight loss is associated with lower clinical events. These results suggest that the underlying mechanism of weight loss (ie, intentional or unintentional) affects its impact on subsequent risk in persons with known CAD.

Mechanisms of adverse cardiometabolic consequences of obesity.

Obesity is an epidemic that threatens the health of millions of people worldwide and is a major risk factor for cardiovascular diseases, hypertension, diabetes, and dyslipidemia. There are multiple and complex mechanisms to explain how obesity can cause cardiovascular disease. In recent years, studies have shown some limitations in the way we currently define obesity and assess adiposity. This review focuses on the mechanisms involved in the cardiometabolic consequences of obesity and on the relationship between obesity and cardiovascular comorbidities, and provides a brief review of the latest studies focused on normal weight obesity and the obesity paradox.

Diagnostic performance of weight loss to predict body fatness improvement in cardiac rehabilitation patients.

PURPOSE: To determine the diagnostic performance of weight loss to identify fat mass loss in cardiac rehabilitation (CR) patients. METHODS: We included consecutive patients enrolled in early outpatient CR who underwent air displacement plethysmography with measurements of height, weight, and waist circumference at initiation and completion of CR. We calculated the accuracy of >1 kg of weight loss to predict a >1 kg loss of fat mass. RESULTS: We analyzed data from 142 patients (mean age ± SD = 60 ± 12 years), 74% male, 94% non-Hispanic whites, and body mass index (BMI) 29.9 ± 5.1 kg/m. Following 87 ± 49 days and 22 ± 9 CR sessions, there was a small but significant change in weight (-1.3 ± 3.8 kg), BMI (-0.4 ± 1.2 kg/m), fat mass (-2.6 ± 3.9 kg), lean mass (+1.3 ± 1.9 kg), and waist circumference (-4.3 ± 5.1 cm), P < .001 for all. Overall, patients who lost weight consistently lost fat mass, positive predictive value 0.91 (95% CI: 0.83-0.96). However, the negative predictive value of lack of weight loss to exclude fat mass loss was poor, 0.59 (95% CI: 0.52-0.64). Among patients who did not lose weight, waist circumference reduction was modestly predictive of fat mass loss (r = 0.33, P = .004.) CONCLUSIONS: Although weight loss in CR is indicative of fat mass loss in most patients, absence of weight loss, or even weight gain, would not necessarily rule out fat loss in a significant number of patients attending CR. These findings speak to the importance of body fatness measurements beyond BMI in the CR setting.

Availability and characteristics of cardiovascular rehabilitation programs in South America.

PURPOSE: Cardiac rehabilitation (CR) programs decrease morbidity and mortality rates in patients with coronary artery disease, the leading cause of death in Latin America. This study was carried out to assess the characteristics and current level of CR program implementation in South America. METHODS: We carried out a survey of CR programs that were identified using the directory of the South American Society of Cardiology and through an exhaustive search by the investigators. RESULTS: We identified 160 CR programs in 9 of the 10 countries represented in the South American Society of Cardiology and 116 of those responded to our survey. On the basis of survey results from the responding programs, we estimate that the availability of CR programs in South America is extremely low, approximately 1 CR program for every 2 319 312 inhabitants. These CR programs provided services to a median of 180 patients per year (interquartile range, 60-400) and were most commonly led by cardiologists (84%) and physical therapists (72%). Phases I, II, III, and IV CR were offered in 49%, 91%, 89%, and 56% of the centers, respectively. The most commonly perceived barrier to participation in a CR program was lack of referral from the cardiologist or primary care physician, as reported by 70% of the CR program directors. CONCLUSIONS: The number of CR programs in South America appears to be insufficient for a population with a high and growing burden of cardiovascular disease. In addition, there appears to be a significant need for standardization of CR program components and services in the region.

[Evidence-based cardiology: practical applications from epidemiology. IV Cardiovascular risk prediction]. / Cardiología "basada en la evidencia": aplicaciones prácticas de la epidemiología. IV. Modelos de predicción de riesgo cardiovascular.

Cardiovascular risk assessment in patients without established disease allows to match the intensity of risk factor modification to the underlying hazard for cardiovascular events. The cardiologist needs to know the characteristics of current risk prediction algorithms, their advantages and limitations.

Cardiología "basada en la evidencia": aplicaciones prácticas de la epidemiología. IV. Modelos de predicción de riesgo cardiovascular / Evidence-Based Cardiology: practical applications from epidemiology. IV Cardiovascular risk prediction

La estimación del riesgo cardiovascular basal de un paciente sin enfermedad establecida, permite ajustar la intensidad de la intervención preventiva de acuerdo a la probabilidad de desarrollar complicaciones cardiovasculares. El cardiólogo necesita conocer las características de los modelos de predicción de riesgo CV disponibles, sus ventajas y limitaciones.

Cardiovascular risk assessment in patients without established disease allows to match the intensity of risk factor modification to the underlying hazard for cardiovascular events. The cardiologist needs to know the characteristics of current risk prediction algorithms, their advantages and limitations.

[Evidence-based cardiology: practical applications from epidemiology. III. Diagnostic capacity of a clinical test]. / Cardiología "basada en la evidencia": Aplicaciones prácticas de la epidemiología. III. Capacidad diagnóstica de una prueba clínica.

This article reviews different characteristics of validity in a clinical diagnostic test. In particular, we emphasize the likelihood ratio as an instrument that facilitates the use of epidemiologic concepts in clinical diagnosis.

Cardiología "basada en la evidencia": Aplicaciones prácticas de la epidemiología. III. Capacidad diagnóstica de una prueba clínica / Evidence-Based Cardiology: practical applications from epidemiology. III. Diagnostic capacity of a clinical test

Este artículo revisa de manera práctica las diferentes características de validez de una prueba diagnóstica. En particular, se destaca la razón de probabilidad como una herramienta que facilita el uso de conceptos epidemiológicos en el diagnóstico clínico.

This article reviews different characteristics of validity in a clinical diagnostic test. In particular, we emphasize the likelihood ratio as an instrument that facilitates the use of epidemiologic concepts in clinical diagnosis.