16 research outputs found

    Essential parameters for use in epidemiological models of COVID-19 in Argentina: a rapid review

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    INTRODUCCIÓN: Los modelos de simulación para COVID-19 requieren una serie de parámetros epidemiológicos que varían en base a cuestiones propias de cada región y al momento de la pandemia que se esté atravesando. OBJETIVO: Esta revisión rápida presenta los parámetros epidemiológicos esenciales potencialmente utilizables en Argentina. MÉTODOS: Se realizó una búsqueda en las principales bases de datos y en buscadores de artículos en estado de preimpresión (preprints) de parámetros relacionados con la propagación del virus y evolución de la enfermedad, y el uso del sistema de salud. Para revisar los artículos seleccionados se utilizó una herramienta de evaluación de calidad apropiada al diseño del estudio. RESULTADOS: De las variables relacionadas con la propagación y evolución; el período de incubación es de 5,8 días (intervalos de confianza [IC95%]: 4,83-6,85), el período de infecciosidad es de 6,25 días (IC95%: 5,09-7,51), el número básico de reproducción es de 3,32 (IC95%: 3,24-3,39), y la tasa de fatalidad en pacientes infectados fue de 0,64% (IC95%: 0,5-0,78). De las variables relacionadas con el uso del sistema de salud, el tiempo de internación hospitalaria es de 5 días (rango intercuartílico [RIC]: 3-9), el tiempo de internación en una unidad de cuidados intensivos (UCI) es de 7 días (RIC: 4-11), el porcentaje de pacientes internados que requieren de UCI es de 26% (IC95%: 20-33) y, de estos, el porcentaje que requieren de ventilación mecánica es de 69% (IC95%: 61-75). DISCUSIÒN: Estudios recientes y datos de acceso públicos a nivel nacional muestran valores distintos a los relevados de la bibliografía internacional. La información recolectada en este trabajo puede contribuir a informar futuros modelamientos y tableros de control para predecir la dinámica de la epidemia en Argentina.INTRODUCTION: Simulation models for COVID-19 require a set of epidemiological parameters that vary according to regional issues and the timing of the pandemic. OBJECTIVE: This rapid review presents the essential epidemiological parameters potentially usable in Argentina. METHODS: A search of the main databases and search engines for articles in preprint status (preprints) of parameters related to the spread of the virus and evolution of the disease, and the use of the health system was carried out. A quality assessment tool appropriate to the study design was used to review the selected articles. RESULTS: Of the variables related to the spread and evolution; the incubation period is 5.8 days (confidence intervals [CI95%]: 4.83-6.85), the infectious period is 6.25 days (CI95%: 5.09-7.51), the basic reproduction number is 3.32 (CI95%: 3.24-3.39), and the fatality rate in infected patients was 0.64% (CI95%: 0.5-0.78). Of the variables related to health system use, the length of hospital stay was 5 days (interquartile range [IQR]: 3-9), the length of stay in an intensive care unit (ICU) was 7 days (IQR: 4-11), the percentage of hospitalized patients requiring ICU was 26% (CI95%: 20-33) and, of these, the percentage requiring mechanical ventilation was 69% (CI95%: 61-75). DISCUSSION: Recent studies and publicly available data at the national level show values different from those reported in the international literature. The information collected in this work may contribute to inform future modeling and dashboards to predict the dynamics of the epidemic in Argentina.Fil: Argento, Fernando Javier. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Rodriguez Cairoli, Federico. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Perelli, Lucas. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Augustovski, Federico Ariel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pichon Riviere, Andrés. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentin

    COVID-19 and pregnancy: An umbrella review of clinical presentation, vertical transmission, and maternal and perinatal outcomes

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    Background We conducted an overview of systematic reviews (SRs) summarizing the best evidence regarding the effect of COVID-19 on maternal and child health following Cochrane methods and PRISMA statement for reporting (PROSPERO-CRD42020208783). Methods We searched literature databases and COVID-19 research websites from January to October 2020. We selected relevant SRs reporting adequate search strategy, data synthesis, risk of bias assessment, and/or individual description of included studies describing COVID-19 and pregnancy outcomes. Pair of reviewers independently selected studies through COVIDENCE web-software, performed the data extraction, and assessed its quality through the AMSTAR-2 tool. Discrepancies were resolved by consensus. Each SR’s results were synthesized and for the most recent, relevant, comprehensive, and with the highest quality, by predefined criteria, we presented GRADE evidence tables. Results We included 66 SRs of observational studies out of 608 references retrieved and most (61/66) had "critically low" overall quality. We found a relatively low degree of primary study overlap across SRs. The most frequent COVID-19 clinical findings during pregnancy were fever (28–100%), mild respiratory symptoms (20–79%), raised C-reactive protein (28–96%), lymphopenia (34–80%), and pneumonia signs in diagnostic imaging (7–99%). The most frequent maternal outcomes were C-section (23–96%) and preterm delivery (14–64%). Most of their babies were asymptomatic (16–93%) or presented fever (0–50%), low birth weight (5–43%) or preterm delivery (2–69%). The odds ratio (OR) of receiving invasive ventilation for COVID-19 versus non-COVID-19 pregnant women was 1.88 (95% Confidence Interval [CI] 1.36–2.60) and the OR that their babies were admitted to neonatal intensive care unit was 3.13 (95%CI 2.05–4.78). The risk of congenital transmission or via breast milk was estimated to be low, but close contacts may carry risks. Conclusion This comprehensive overview supports that pregnant women with COVID-19 may be at increased risk of adverse pregnancy and birth outcomes and low risk of congenital transmission.Fil: Ciapponi, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Bardach, Ariel Esteban. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Comandé, Daniel. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Berrueta, Mabel. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Argento, Fernando J.. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Rodriguez Cairoli, Federico. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Zamora, Natalia. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Santa María, Victoria. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Xiong, Xu. University of Tulane; Estados UnidosFil: Zaraa, Sabra. University of Washington; Estados UnidosFil: Mazzoni, Agustina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Buekens, Pierre. University of Tulane; Estados Unido

    Health and economic burden of sugar-sweetened beverages consumption in Brazil

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    Sugar-sweetened beverages (SSBs) are a major source of added sugar and are associated with noncommunicable diseases (NCDs) such as obesity and diabetes. This study assessed the impact of SSBs consumption on disease burden in Brazil, including deaths, disability-adjusted life years (DALYs), and healthcare costs. A 3-stage methodology was used to assess the direct effects of SSBs on diabetes, cardiovascular diseases, and body mass index (BMI), along with the influence of BMI on disease incidence. These assessments were then used to estimate the economic and health burden using population-attributable factors. Results showed that 2.7% and 11% of adult and children overweight/obesity cases were attributable to SSBs, respectively. SSBs consumption in Brazil led to 1,814,486 cases, 12,942 deaths, 362,088 DALYs, and USD 2,915.91 million in medical costs related to diabetes, cardiovascular diseases, oncological diseases, and other NCDs. Urgent implementation of public policies is crucial to address the consumption of SSBs, recognized as a key risk factor for NCDs

    Maternal and neonatal data collection systems in low- and middle-income countries: Scoping review protocol

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    Background: Pregnant women and neonates represent one of the most vulnerable groups, especially in low- and middle-income countries (LMICs). A recent analysis reported that most vaccine pharmacovigilance systems in LMICs consist of spontaneous (passive) adverse event reporting. Thus, LMICs need effective active surveillance approaches, such as pregnancy registries. We intend to identify currently active maternal and neonatal data collection systems in LMICs, with the potential to inform active safety electronic surveillance for novel vaccines using standardized definitions. Methods: A scoping review will be conducted based on established methodology. Multiple databases of indexed and grey literature will be searched with a specific focus on existing electronic and paper-electronic systems in LMICs that collect continuous, prospective, and individual-level data from antenatal care, delivery, neonatal care (up to 28 days), and postpartum (up to 42 days) at the facility and community level, at the national and district level, and at large hospitals. Also, experts will be contacted to identify unpublished information on relevant data collection systems. General and specific descriptions of Health Information Systems (HIS) extracted from the different sources will be combined and duplicated HIS will be removed, producing a list of unique statements. We will present a final list of Maternal, Newborn, and Child Health systems considered flexible enough to be updated with necessary improvements to detect, assess and respond to safety concerns during the introduction of vaccines and other maternal health interventions. Selected experts will participate in an in-person consultation meeting to select up to three systems to be further explored in situ. Results and knowledge gaps will be synthesized after expert consultation.Fil: Berrueta, Mabel. Instituto de Efectividad ClĂ­nica y Sanitaria; ArgentinaFil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Centro de Investigaciones en EpidemiologĂ­a y Salud PĂşblica. Instituto de Efectividad ClĂ­nica y Sanitaria. Centro de Investigaciones en EpidemiologĂ­a y Salud PĂşblica; ArgentinaFil: Ciapponi, AgustĂ­n. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Centro de Investigaciones en EpidemiologĂ­a y Salud PĂşblica. Instituto de Efectividad ClĂ­nica y Sanitaria. Centro de Investigaciones en EpidemiologĂ­a y Salud PĂşblica; ArgentinaFil: Xiong, Xu. University of Tulane; Estados UnidosFil: Stergachis, Andy. University of Washington; Estados UnidosFil: Zaraa, Sabra. University of Washington; Estados UnidosFil: Buekens, Pierre. University of Tulane; Estados UnidosFil: Absalon, Judith. No especifĂ­ca;Fil: Anderson, Steve. No especifĂ­ca;Fil: Althabe, Fernando. Instituto de Efectividad ClĂ­nica y Sanitaria; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Madhi, Shabir A.. No especifĂ­ca;Fil: McClure, Elizabeth. No especifĂ­ca;Fil: Munoz, Flor M.. No especifĂ­ca;Fil: Mwamwitwa, Kissa W.. No especifĂ­ca;Fil: Nakimuli, Annettee. No especifĂ­ca;Fil: Clark Nelson, Jennifer. No especifĂ­ca;Fil: Noguchi, Lisa. No especifĂ­ca;Fil: Panagiotakopoulos, Lakshmi. No especifĂ­ca;Fil: Sevene, Esperanca. No especifĂ­ca;Fil: Zuber, Patrick. No especifĂ­ca;Fil: Belizan, Maria. No especifĂ­ca;Fil: Bergel, Eduardo. No especifĂ­ca;Fil: Rodriguez Cairoli, Federico. No especifĂ­ca;Fil: Castellanos, Fabricio. No especifĂ­ca;Fil: Ciganda, Alvaro. No especifĂ­ca;Fil: Comande, Daniel. No especifĂ­ca;Fil: Pingray, Veronica. No especifĂ­ca

    Safety of COVID-19 vaccines, their components or their platforms for pregnant women: A rapid review.

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    BACKGROUND: Pregnant women with COVID-19 are at an increased risk of severe COVID-19 illness as well as adverse pregnancy and birth outcomes. Many countries are vaccinating or considering vaccinating pregnant women with limited available data about the safety of this strategy. Early identification of safety concerns of COVID-19 vaccines, including their components, or their technological platforms is therefore urgently needed. METHODS: We conducted a rapid systematic review, as the first phase of an ongoing full systematic review, to evaluate the safety of COVID-19 vaccines in pregnant women, including their components, and their technological platforms (whole virus, protein, viral vector or nucleic acid) used in other vaccines, following the Cochrane methods and the PRISMA statement for reporting (PROSPERO-CRD42021234185).We searched literature databases, COVID-19 and pregnancy registries from inception February 2021 without time or language restriction and explored the reference lists of relevant systematic reviews retrieved. We selected studies of any methodological design that included at least 50 pregnant women or pregnant animals exposed to the vaccines that were selected for review by the COVAX MIWG in August 2020 or their components or platforms included in the COVID-19 vaccines, and evaluated adverse events during pregnancy and the neonatal period.Pairs of reviewers independently selected studies through the COVIDENCE web software and performed the data extraction through a previously piloted online extraction form. Discrepancies were resolved by consensus. RESULTS: We identified 6768 records, 256 potentially eligible studies were assessed by full-text, and 37 clinical and non-clinical studies (38 reports, involving 2,397,715 pregnant women and 56 pregnant animals) and 12 pregnancy registries were included.Most studies (89%) were conducted in high-income countries. The most frequent study design was cohort studies (n=21), followed by surveillance studies, randomized controlled trials, and registry analyses. Most studies (76%) allowed comparisons between vaccinated and unvaccinated pregnant women (n=25) or animals (n=3) and reported exposures during the three trimesters of pregnancy.The most frequent exposure was to AS03 adjuvant in the context of A/H1N1 pandemic influenza vaccines (n=24), followed by aluminum-based adjuvants (n=11). Aluminum phosphate was used in Respiratory Syncytial Virus Fusion candidate vaccines (n=3) and Tdap vaccines (n=3). Different aluminum-based adjuvants were used in hepatitis vaccines. The replication-deficient simian adenovirus ChAdOx1 was used for a Rift Valley fever vaccine. Only one study reported exposure to messenger RNA (mRNA) COVID-19 vaccines that also used lipid nanoparticles. Except for one preliminary report about A/H1N1 influenza vaccination (adjuvant AS03) - corrected by the authors in a more thorough analysis, all studies concluded that there were no safety concerns. CONCLUSION: This rapid review found no evidence of pregnancy-associated safety concerns of COVID-19 vaccines that were selected for review by the COVAX MIWG or of their components or platforms when used in other vaccines. However, the need for further data on several vaccine platforms and components is warranted given their novelty. Our findings support current WHO guidelines recommending that pregnant women may consider receiving COVID-19 vaccines, particularly if they are at high risk of exposure or have comorbidities that enhance the risk of severe disease

    Budget impact analysis of the freestyle libre flash continuous glucose monitoring system® in patients with diabetes mellitus type 1 in Chile

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    OBJECTIVE: To estimate the budget impact of covering the FreeStyle Libre Flash Continuous Glucose Monitoring System (FSL) for type 1 Diabetes Mellitus patients (T1DM), compared to self-monitoring of blood glucose (SMBG), from the perspective of public and private third-party payers in Chile. METHODS: A budget impact model was developed to estimate the cost difference between SMBG and FSL over five years. Two FSL coverage schemes were assessed. Input parameters were retrieved from the literature review and complemented by expert opinion. Healthcare costs were estimated by a micro-costing approach and reported in USD. RESULTS: For a public sector third-party payer, incorporating FSL implied a cost increase up to USD 0.013 per member per month (PMPM) for the fifth year under the broad coverage scheme and a net saving of 0.0001 PMPM (all years) under the restricted coverage scheme. From a private sector third-party payer, incorporating FSL implied savings up to USD 0.028 PMPM (fifth year) for the broad coverage scheme and up to USD 0.012 PMPM (fifth year) for the restricted scheme. CONCLUSION: Incorporating the FSL for T1DM patients was associated with a marginal incremental cost for the public sector third-party payer and cost savings in Chile's private healthcare sector
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