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Funding Acknowledgements Type of funding sources: None. Introduction A coronary artery calcium (CAC) score of more than 100 places the 10-year cardiovascular risk above 7.5%, justifying the initiation of pharmacological measures in primary prevention. Purpose The present study explores the level of implementation of a primary prevention strategy after CAC score in patients without obstructive coronary disease. Methods The study cohort included all patients from the health area of our city (Galicia, Spain) who underwent a coronary computed tomography (CT) scan between July 2021 and February 2022. Subjects with obstructive coronary disease (CADRADS 3 or higher), atrial fibrillation patients and inconclusive studies were excluded. The final population of the study consisted of 209 patients. The sample was classified according to Agatston Score into three groups: no calcification (CAC=0), non-significant (CAC 1-100), and significant calcification (CAC >101). Multinomial and binomial logistic regression were performed to identify the predictors associated with the prescription of statin and aspirin, respectively. Results 41 patients (19.62%) had significant calcification (CAC >101). Of those, 16 (39.02%) started aspirin and 21 (51.22%) started statin (Figure 1). The CAC score allowed to increase the percentage of patients who benefited from lipid-lowering treatment, from 31.70% to 82.92% (Figure 2). Significant differences were observed in the proportion of patients who initiated aspirin and statins according to the degree of coronary calcification (Chi2 18.76; p=0.000), (Chi2 48.42; p=0.000) respectively. After multivariate adjustment, a CAC score >100 (OR 5.88 (2.29-15.07; p=0.000) and the presence of vulnerable plaque (OR 6.78 (1.01-47.46; p=0.050) were the only predictos which led clinicians to start antiplatelet therapy. Neither age, nor SIS (segment involvement score) were associated. Regarding to lipid-lowering therapy, CAC score 1-100 (OR 5.87 (1.68-20.51; p=0.006) and CAC score >100 (OR 30.78 (5.08-186.47; p=0.000) were independently associated with statin prescription. Conclusions The use of coronary CT allows optimization of the therapeutic strategy in primary prevention, increasing the percentage of patients who may benefit from statins. In this setting, aspirin is little established in our cohort. Therefore, we should transmit to the clinician the possibility of starting antiplatelet therapy, individualizing the indication.

There is limited knowledge regarding the efficacy and safety of fixed-dose oral anticoagulants in overweight patients because of the possible increased risk of embolism and hemorrhage. This study aimed to evaluate embolic, hemorrhagic, and mortality events in anticoagulated patients, administered both antivitamin K and direct oral anticoagulants based on the body weight (60 kg, 60 to 100 kg and100 kg). A retrospective registry-based cohort study including all consecutive patients with a diagnosis of atrial fibrillation between January 2014 and January 2018 in the health area of Vigo (Galicia, Spain) was used (CardioCHUVI-AF registry; ClinicalTrials.gov identifier: NCT04364516). The final cohort comprised 11,821 AF patients. The cohort was classified into 3 categories: low body weight ([LBW],60 kg, 924 patients); middle body weight (60 to 100 kg, 9,546 patients); and high body weight ([HBW],100 kg, 958 patients). Outcomes were predicted using the Fine and Gray model and Cox proportional hazards model when appropriate. Middle body weight was the reference group. No association was found between the weight and major bleeding in the univariate analyses: LBW with a sub-distribution hazard ratio (sHR) of 1.13 (95% confidence interval [CI] 0.92 to 1.41), and HBW with an sHR of 1.02 (95% CI 0.83 to 1.26). Stroke/systemic embolism events occurred in 817 patients (6.6%). In the univariate analyses, we found an association between weight and risk of stroke/systemic embolism: LBW sHR 1.37 (95% CI 1.09 to 1.72), and HBW sHR 0.66 (95% CI 0.49 to 0.89) but no association was found in the multivariable model. The same situation was observed with all-cause death: in the univariable model, LBW presented a hazard ratio of 1.48 (95% CI 1.31 to 1.68) and the HBW group presented a hazard ratio of 0.53 (95%CI 0.44 to 0.63) whereas no significant association was found in the multivariable model. We conclude that in our registry, extreme weights were not related to more events during follow-up.

The impact of cancer on clinical outcomes in patients with atrial fibrillation (AF) is unclear. The aim of this study was to assess how cancer influences the prediction and risk of embolic and hemorrhagic events in patients with AF.The study population comprised 16 056 patients from a Spanish health area diagnosed with AF between 2014 and 2018. Of these, 1137 (7.1%) had a history of cancer. During a median follow-up of 4.9 years, we assessed the relationship between cancer and bleeding and embolic events by competing risk analysis, considering death as a competing risk.No association was detected between an increased risk of embolic events and cancer overall (sHR, 0.73; 95%CI, 0.41-1.26), active cancer, or any subgroup of cancer. However, cancer was associated with an increased risk of bleeding, although only in patients with active cancer (sHR, 1.42; 95%CI, 1.20-1.67) or prior radiotherapy (sHR, 1.40; 95%CI, 1.19-1.65). Both the CHACancer was not associated with an increased risk of embolic events in AF patients, only with an increased risk of bleeding. However, active cancer worsened the ability of the CHA

A paradoxical protective effect of obesity has been previously reported in patients with atrial fibrillation (AF). The aim of this study was to determine the impact of nutritional status and body mass index (BMI) on the prognosis of AF patients.We conducted a retrospective population-based cohort study of patients with AF from 2014 to 2017 from a single health area in Spain. The CONUT score was used to assess nutritional status. Cox regression models were used to estimate the association of BMI and CONUT score with mortality. The association with embolism and bleeding was assessed by a competing risk analysis.Among 14 849 AF patients, overweight and obesity were observed in 42.6% and 46.0%, respectively, while malnutrition was observed in 34.3%. During a mean follow-up of 4.4 years, 3335 patients died, 984 patients had a stroke or systemic embolism, and 1317 had a major bleeding event. On univariate analysis, BMI was inversely associated with mortality, embolism, and bleeding; however, this association was lost after adjustment by age, sex, comorbidities, and CONUT score (HR for composite endpoint, 0.98; 95%CI, 0.95-1.01; P=.719). Neither obesity nor overweight were predictors of mortality, embolism, and bleeding events. In contrast, nutritional status-assessed by the CONUT score-was associated with mortality, embolism and bleeding after multivariate analysis (HR for composite endpoint, 1.15; 95%CI, 1.14-1.17; P.001).BMI was not an independent predictor of events in patients with AF in contrast to nutritional status, which showed a strong association with mortality, embolism, and bleeding. The study was registered at ClinicalTrials.gov (Identifier: NCT04364516).

Background Malnutrition is associated with poor prognosis in a wide range of illnesses. However, its prognostic impact in patients with acute coronary syndrome (ACS) is not well known. Objectives This study sought to report the prevalence, clinical associations, and prognostic consequences of malnutrition in patients with ACS. Methods In this study, the Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Prognostic Nutritional Index (PNI) was applied to 5,062 consecutive patients with ACS. The relationships between malnutrition risk and all-cause mortality and major cardiovascular events (MACEs) (cardiovascular mortality, reinfarction, or ischemic stroke) were examined. Results According to the CONUT score, NRI, and PNI, 11.2%, 39.5%, and 8.9% patients were moderately or severely malnourished, respectively; 71.8% were at least mildly malnourished by at least 1 score. Although worse scores were most strongly related to lower body mass index, between 8.4% and 36.7% of patients with a body mass index of ≥25 kg/m2 were moderately or severely malnourished, depending on the nutritional index used. During a median follow-up of 3.6 years (interquartile range: 1.3 to 5.3 years), 830 (16.4%) patients died, and 1,048 (20.7%) had MACEs. Compared with good nutritional status, malnutrition was associated with significantly increased risk for all-cause death (adjusted hazard ratio for moderate and severe degrees of malnutrition, respectively: 2.02 [95% confidence interval (CI): 1.65 to 2.49] and 3.65 [95% CI: 2.41 to 5.51] for the CONUT score, 1.40 [95% CI: 1.17 to 1.68] and 2.87 [95% CI: 2.17 to 3.79] for the NRI, and 1.71 [95% CI: 1.37 to 2.15] and 1.95 [95% CI: 1.55 to 2.45] for the PNI score; p values Conclusions Malnutrition is common among patients with ACS and is strongly associated with increased mortality and cardiovascular events. Clinical trials are needed to prospectively evaluate the efficacy of nutritional interventions on outcomes in patients with ACS.

Introduction: body mass index (BMI) can under-diagnose overweight and obesity as it is a surrogate measure of central adiposity, making it necessary to define more adequate variables for its correct diagnosis. Objective: to compare the categorization of overweight and obesity according to the percentage of fat measured with dual-energy X-ray absorptiometry (DEXA) with the BMI and the Clínica Universidad de Navarra - Body Adiposity Estimator (CUN-BAE) formula, as well as their relationship with adherence to the Mediterranean diet, physical activity and satisfaction with body image. Subjects and methods: cross-sectional study conducted in 64 medical students. We determined weight, height, waist circumference, percentage of fat measured with DEXA, adherence to the Mediterranean diet, level of physical activity and degree of satisfaction with body image. Results: BMI underdiagnoses overweight with respect to the percentage of fat measured by DEXA while CUN-BAE has a good correlation. Percentage of fat is inversely associated with satisfaction with body image more strongly than the BMI. Conclusion: the limitations of BMI to diagnose excess body fat pose the need for new tools to distinguish patients with normal BMI whose percentage of body fat is high. It would be useful to assess whether the use of a questionnaire of satisfaction with body image in people classified as normal weight could distinguish individuals with a higher probability of excess of fat, and thus, employ more accurate study methods in this group.Introducción: el índice de masa corporal (IMC) es una medida subrogada de la adiposidad corporal, por lo que puede infradiagnosticar sobrepeso y obesidad, lo que hace necesario definir variables más adecuadas para su correcto diagnóstico. Objetivo: comparar la categorización de sobrepeso y obesidad según el porcentaje de grasa medido con absorciometría de rayos X de energía dual (DEXA) con el IMC y la fórmula Clínica Universidad de Navarra - Body Adiposity Estimator (CUN-BAE), así como su relación con la adherencia a la dieta mediterránea, la actividad física y la satisfacción con la imagen corporal. Sujetos y métodos: estudio descriptivo transversal llevado a cabo en una muestra de 64 estudiantes de Medicina. Se determinaron peso, talla, perímetro de cintura, porcentaje de grasa medido con DEXA, adherencia a la dieta mediterránea, nivel de actividad física y satisfacción con la imagen corporal. Resultados: el IMC infradiagnostica sobrepeso respecto al porcentaje de grasa medido por DEXA mientras que la ecuación CUN-BAE presenta una buena correlación. El porcentaje de grasa se asocia inversamente con la satisfacción con la imagen corporal con mayor fuerza que el IMC. Conclusión: se necesitan nuevas herramientas capaces de distinguir los casos con IMC normal cuyo porcentaje de grasa corporal está elevado. Sería útil estudiar si el empleo de un cuestionario de satisfacción con la imagen corporal en personas clasificadas como normopeso podría distinguir a aquellas con una mayor probabilidad de exceso de grasa y así emplear estudios más exhaustivos en este colectivo.