Composición química, características nutricionales y beneficios asociados al consumo de chía (Salvia hispanica L.)Chemical composition, nutritional characteristics and benefits associated with the consumption of Chia (Salvia hispanica L.

Funding Acknowledgements Type of funding sources: None. Introduction During COVID-19 pandemic reports increased of transthoracic echocardiography (TTE) in prone and invasive mechanical ventilation (IMV), mostly describing four and five chamber apical views, and inferior vena cava (IVC) by lateral IVC window (from right side of the patient). Purpose Evaluate quality of images obtained with protocol of apical-subcostal TTE in patients with IMV and prone position. Methods Prospective study, between August and December 2020, in adults who required prone position during IMV. After placing the patient in the prone position, left arm was extended overhead, and a pillow was placed only under the left hemithorax to elevate and facilitate the apical window and space below the patient for subcostal window. Operator stands on the left side of the patient and takes images with the transducer in your right hand, starting with apical window and subsequently subcostal window. Apical views were apical four, two and three-chambers, to obtain function parameter of right and left ventricle (LV), evaluation of aortic valve, mitral and tricuspid valve. Subcostal views were four cardiac chambers and IVC, to obtain qualitative ventricle function, presence of pericardial effusion, and volume status and estimation of pulmonary pressure (together to peak systolic tricuspid pressure gradient from apical views). The images were acquired by cardiologist, then were saved, and finally evaluated by two echocardiography cardiologist experts. Results 16 ETTs were performed. Male gender and obesity predominate. Positive end-expiratory pressure average was 10.8 cm of water. One patient cannot be assessed by absence of acoustic window and the rest (n = 15) were analyzed with experts. It was achieved a four-chamber apical view in 100% (n = 15), a two-chambers apical view in 60% (n = 9) and a three-chambers apical view in 100% (n = 15). It was possible to assess global function of the LV in 100% (n = 15), LV segmental function in 53% (n = 8), LV outflow tract velocity time integral in 100% (n = 15) and tricuspid annular plane systolic excursion in 100% (n = 15). Pulsed wave doppler of mitral valve in 100% (n = 15) and tissue doppler of lateral mitral valve annulus 100% (n = 15). Continuous wave doppler of aortic valve in 100% (n = 15) and tricuspid valve in 93% (n = 14). Subcostal four-chamber 80% (n = 12), presence pericardial effusion 100% (n = 15) and IVC 93% (n = 14). Non-complications associated with obtaining the position. Conclusions ETT in the prone position during IMV was possible and interpretable images were achieved. The position described allows assessment by apical and subcostal views at the same time and position of the operator and the patient. In addition, it was a safe technique, and the position was easy to be incorporated by the health team. Limitations were obtaining the two-chamber apical view and evaluation of segmental alterations of the LV. Better validation requires a larger sample.

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Funding Acknowledgements Type of funding sources: None. Introduction In acute infarction myocardial and cardiogenic shock, the shock index (SI) has been associated with poor prognostic in recent researches, but its relation with haemodynamic parameters has not been described. Purpose Evaluate relation between SI and measures of cardiac output by pulmonary artery catheter in cardiogenic shock. Methods Prospective study of older than 18 years and admitted for cardiogenic shock in two cardiovascular critical units. Included patient with pulmonary artery catheter for cardiac output estimated. Excluded patient with cardiac index (CI)always greater than 2.2 ml/min/m2. The measures were performed with standard protocol. In the moment was perform measures, we were calculated the shock index and cardiac power output (CPO). It has been definite as an altered value a SI ≥0.8 CI ≤2.2 and CPO ≤0.6. We have calculated sensitivity, specificity, positive likelihood ratio (+LR) and negative likelihood ratio (-LH). In addition, we have searched a linear relation with Pearson correlation coefficient. Result 95 measures of cardiac output were performed. Rhythm during measurements was 75.7% (n = 72) in sinus rhythm, 9.4% (n = 9) in nodal rhythm and 4.2% (n = 4) in atrial fibrillation. Treatments during measurements were 68.5% (n = 24) with norepinephrine, 17.8% (n = 17) with epinephrine, 10.5% (n = 10) with vasopressin, 6.31% (n = 6) with dexmedetomidine, and 27.3% (n = 26) with amiodarone. Only 7.3% (n = 7) measures were in context of recent use of beta-block (24 horas before). CI average was 2.36 (0.9-3.71), CPO average was 0.72 (0.25-1.29) and SI average was 0.8 (0.4-1.5). The relation between SI and CI: sensitivity 64.1% (95% CI 47.1-78.8%), specificity 48.2% (95% CI 34.7-619%), +LR 1.24 (95% CI 0.9-1.7), -LR 0.74 (95% CI 0.45-1.23) and Pearson correlation coefficient -0.175. The relation between SI and CPO: sensitivity 63.3% (95% CI 43.9-80%), specificity 46.2% (33.7-60%), +LR 1.18 (0.83-1.67), -LR 0.79 (0.46-1.36) and Pearson correlation coefficient -0.166. Subsequently, the analysis of relation between SI and CI after excluded nodal rhythm, atrial fibrillation, recent use of beta-block, and use of dexmedetomidine and/or amiodarone was: sensitivity 87.5% (95% CI 61.7-98.5%), specificity 43.6% (27.8-60.4%), +LR 1.55 (1.11-2.16), -LR 0.29 (0.07-1.1) and Pearson correlation coefficient -0.49. The relation between SI and CPO after excluded the same aforementioned variables was: sensitivity 25% (95% CI 12.1-42.2%), specificity 94.7% (74-99.8%), +LR 4.75 (0.65-34.74), -LR 0.0.79 (0.64-0.98) and Pearson correlation coefficient -0.55. Conclusion In the general sample, we did not find a linear relation between SI and CI or CPO. By excluding aforementioned variables, we founded a relation between a normal SI and CI >2.2, and between an abnormal SI and CPO ≤0.6. There could be additional variables to cardiac output that explain the relation between SI and poor prognosis. Better validation requires a larger sample.