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INTRODUCTION: Pregnant and breastfeeding women are at an increased risk of severe illness from COVID-19. Despite this, low vaccination coverages are reported in this population sub-group. AREAS COVERED: The purpose of this study is to estimate the proportion of pregnant and breastfeeding women expressing hesitation to the COVID-19 vaccine worldwide. Forty-six studies were included, selected from scientific articles available in three scientific databases between 1 January 2020 and 6 February 2022. The vaccine hesitation rate among pregnant and breastfeeding women was 48.4% (95%CI=43.4-53.4%). In a sub analysis by study period, it was 40.0% (95%CI=31.6-46.6%) considering surveys administered in 2020, 58.0% (95%CI=48.9-66.9%) considering surveys administered in the first semester of 2021, and 38.1% (95%CI=25.9-51.2%) considering surveys administered in the second semester of 2021. The main reasons for vaccine hesitation were lack of information about vaccination, opinion that the vaccine is unsafe, and fear of adverse events. EXPERT OPINION: Available evidence in the literature has shown that fighting vaccine resistance is harsh and too slow as a process, considering the rapidity and unpredictability of a pandemic. Health education should be provided in order to improve the willingness of the community, especially for those with lower levels of education.

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Background: Chronic fluid overload is frequent in hemodialysis patients (P) and it associates with hypertension, left ventricular hypertrophy (LVH) and higher mortality. Moreover, echocardiographic data assessing fluid overload is limited. Our aim was to evaluate the relationship between fluid overload measured by bioimpedance spectroscopy (BIS) and different echocardiographic parameters. Methods: Cross-sectional observational study including 76 stable patients. Dry weight was clinically assessed. BIS and echocardiography were performed. Weekly time-averaged fluid overload (TAFO) and relative fluid overload (FO/ECW) were calculated using BIS measurements. Results: Based on TAFO three groups were defined: A- dehydrated, TAFO <-0.25 L 32 P (42%); B- normohydrated, TAFO between -0.25 and 1.5 l: 26 (34%); C- overhydrated, TAFO>1.5 l: 18 (24%). We found significant correlation between TAFO and left atrial volume index (LAVI) (r: 0.29; p=0.013) but not with FO/ECW (r 0.06; p=0.61). TAFO, but not FO/ECW kept a significant relationship with LAVI (p=0.03) using One-Way ANOVA test and linear regression methods. LVH was present in 73.7% (concentric 63.2%, eccentric in 10.5%). No differences between groups in the presence of LVH or left ventricular mass index were found. Conclusions: We found that left atrial volume index determined by echocardiographic Area-length method, but not left ventricle hypertrophy or dimensions of cavities, are related on hydration status based on bioimpedance measured time-averaged fluid overload (TAFO), and not with FO/ECW (AU)

Introducción: La sobrehidratación es frecuente en pacientes en hemodiálisis (P) y se asocia con hipertensión, hipertrofia ventricular izquierda (LVH) y mayor mortalidad. Los datos ecocardiográficos evaluando sobrecarga hídrica son escasos. Nuestro objetivo fue evaluar la relación entre sobrehidratación medida por Bioimpedancia multifrecuencia (BIS) y parámetros ecocardiográficos. Métodos: Estudio transversal observacional, con 76 P estables; El peso seco fue determinado clínicamente; se realizaron ecocardiograma, BIS y analítica sanguínea. Se calcularon la sobrehidratación promedio semanal (TAFO) y sobrehidratación relativa (FO/ECW). Resultados: 3 grupos: A- deshidratados, TAFO <-0.25 L: 32 P (42,1%); B- normohidratado, TAFO -0.25 - 1.5 L: 26 P (34,2%); C- sobrehidratados TAFO > 1.5 L: 18 P (23,7%). Encontramos correlación significativa entre TAFO e índice de volumen auricular izquierdo (LVAI) (r: 0.29; p=0.013) y no con FO/ECW (rho 0,06; p = 0,61). TAFO, pero no FO/ ECW, mantuvo una relación significativa con LVAI (p = 0,03) utilizando test de ANOVA y regresión lineal. LVH estuvo presente en 73,7% de P (concéntrica 63,2%, excéntrica 10,5%). No encontramos diferencias entre grupos en cuanto a la presencia de LVH, ni del índice de masa ventricular izquierda. Conclusiones: Nosotros observamos que el índice de volumen auricular izquierdo determinado por longitud de área medida por ecocardiograma y no la hipertrofia ventricular izquierda o dimensión de cavidades se relaciona con el estado de hidratación medido por sobrehidatación semanal y no con FO/ECW (AU)

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INTRODUCTION: Proper hydration is one of the major aims in haemodialysis (HD) and peritoneal dialysis (PD). Bioimpedance spectroscopy appears to be a promising method for the evaluation and follow up of the hydration status in dialysis patients (P). OBJECTIVES: We compared body composition between stable patients on HD and PD after six months. PATIENTS AND METHOD: An observational study with 62 P on HD and 19 P on PD was performed. Clinical, biochemical and bioimpedance parameters were analysed. RESULTS: In the comparative study, PD P were younger (50 ± 10 vs 57 ± 14 years, P=.031). The Charlson Comorbidity Index (4.8 ± 3 vs 7.5 ± 3, P<.001), time on dialysis (16.9 ± 18.01 vs 51.88 ± 68.79 months, P=.020) and C-Reactive Protein [3 (3-9.3) vs 5.25 (1-76.4)] were lower. Total protein levels (7.46 ± 0.44 vs 7.04 ± 0.55 g/dl, P=.005) and transferrin levels (205 ± 41 vs 185 ± 29 mg/dl, P=.024) were higher. BIS: Intracellular water (19.67 ± 3.61 vs 16.51 ± 3.36 litres, P=.010), lean tissue mass (LTM) (37.20 ± 8.65 vs 32.57 ± 8.72 kg, P=.029), total cellular mass (TCM) (20.53 ± 5.65 vs 17.56 ± 5.91 kg, P=.033), and bioelectrical impedance phase angle (Phi 50) (5.81 ± 0.86 vs 4.74 ± 0.98, P=.000) were higher than in HD P. Overhydration: 22% in HD y 10% in PD, in conditions referred to in methods. Six months later, PD P increased in weight (73.75 ± 12.27 vs 75.22 ± 11.87 kg, P=.027), total fat (FAT) (26.88 ± 10 vs 30.02 ± 10 kg, P=.011) and relative fat (Rel FAT) (35.75 ± 9.87 vs 39.34 ± 9.12, P=.010); and decreased in ICW (18.56 ± 3.45 vs 17.65 ± 3.69 l, P=.009), LTM (36.95 ± 8.88 vs 34 ± 9.70 kg, P=.008) and relative LTM (Rel LTM) (50.85 ± 12.33 vs 45.40 ± 11.95%, P=.012). In the multivariate analysis, weight variation (∆) was related to ∆ FAT (P < .001). We found a correlation between fat increase and lean tissue mass decrease. Six months later, in HD P, we observed a reduction in ECW (15.11 ± 2.45 vs 14.00 ± 2.45, P.001), without changes in other parameters. CONCLUSIONS: Bioelectrical impedance analysis facilitates the assessment of changes in body composition so as to correct dry weight and to introduce changes in treatment schedule..

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