Pediatric Hospitalizations Associated with 2009 Pandemic Influenza A (H1N1) in Argentina

Fil: Libster, Romina. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Bugna, Jimena. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Coviello, Silvina. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Hijano, Diego R. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Dunaiewsky, Mariana. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Reynoso, Natalia. Hospital Municipal Materno Infantil de San Isidro; Argentina.Fil: Cavalieri, Maria L. Hospital Eva Perón, Benito Juárez, Buenos Aires; ArgentinaFil: Guglielmo, Maria C. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Areso, M. Soledad. Hospital Eva Perón, Benito Juárez, Buenos Aires; ArgentinaFil: Gilligan, Tomas. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Santucho, Fernanda. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Cabral, Graciela. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Gregorio, Gabriela L. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Moreno, Rina. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Lutz, Maria I. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Panigasi, Alicia L. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Saligari, Liliana. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Caballero, Mauricio T. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Egües Almeida, Rodrigo M. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Gutierrez Meyer, Maria E. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Neder, Maria D. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Davenport, Maria C. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Del Valle, Maria P. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Santidrian, Valeria S. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Mosca, Guillermina. Ministerio de Ciencia, Técnica e Innovación. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Alvarez, Liliana. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Landa, Patricia. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Pota, Ana. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Boloñati, Norma. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Dalamon, Ricardo. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Sanchez Mercol, Victoria I. Hospital Eva Perón, Benito Juárez, Buenos Aires; Argentina.Fil: Espinoza, Marco. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Peuchot, Juan Carlos. Hospital Eva Perón, Benito Juárez, Buenos Aires; Argentina.Fil: Karolinski, Ariel. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Bruno, Miriam. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Borsa, Ana. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Ferrero, Fernando. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Bonina, Angel. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Ramonet, Margarita. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Albano, Lidia C. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Luedicke, Nora. Ministerio de Ciencia, Técnica e Innovación. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Alterman, Elias. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Savy, Vilma L. ANLIS Dr.C.G.Malbrán. Instituto de Enfermedades Infecciosas; Argentina.Fil: Baumeister, Elsa. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Virología. Servicio de Virosis Respiratoria; Argentina.Fil: Chappell, James D. Vanderbilt University. Pathology, Nashville, Tennessee; Estados Unidos.Fil: Edwards, Kathryn M. Vanderbilt University. Departments of Pediatrics, Nashville, Tennessee; Estados Unidos.Fil: Melendi, Guillermina A. Vanderbilt University. Departments of Pediatrics, Nashville, Tennessee; Estados Unidos.Fil: Polack, Fernando P. Vanderbilt University. Departments of Pediatrics, Nashville, Tennessee; Estados Unidos.Background: While the Northern Hemisphere experiences the effects of the 2009 pandemic influenza A (H1N1) virus, data from the recent influenza season in the Southern Hemisphere can provide important information on the burden of disease in children. Methods: We conducted a retrospective case series involving children with acute infection of the lower respiratory tract or fever in whom 2009 H1N1 influenza was diagnosed on reverse-transcriptase polymerase-chain-reaction assay and who were admitted to one of six pediatric hospitals serving a catchment area of 1.2 million children. We compared rates of admission and death with those among age-matched children who had been infected with seasonal influenza strains in previous years. Results: Between May and July 2009, a total of 251 children were hospitalized with 2009 H1N1 influenza. Rates of hospitalization were double those for seasonal influenza in 2008. Of the children who were hospitalized, 47 (19%) were admitted to an intensive care unit, 42 (17%) required mechanical ventilation, and 13 (5%) died. The overall rate of death was 1.1 per 100,000 children, as compared with 0.1 per 100,000 children for seasonal influenza in 2007. (No pediatric deaths associated with seasonal influenza were reported in 2008.) Most deaths were caused by refractory hypoxemia in infants under 1 year of age (death rate, 7.6 per 100,000). Conclusions: Pandemic 2009 H1N1 influenza was associated with pediatric death rates that were 10 times the rates for seasonal influenza in previous years

La renovación de la palabra en el bicentenario de la Argentina : los colores de la mirada lingüística

El libro reúne trabajos en los que se exponen resultados de investigaciones presentadas por investigadores de Argentina, Chile, Brasil, España, Italia y Alemania en el XII Congreso de la Sociedad Argentina de Lingüística (SAL), Bicentenario: la renovación de la palabra, realizado en Mendoza, Argentina, entre el 6 y el 9 de abril de 2010. Las temáticas abordadas en los 167 capítulos muestran las grandes líneas de investigación que se desarrollan fundamentalmente en nuestro país, pero también en los otros países mencionados arriba, y señalan además las áreas que recién se inician, con poca tradición en nuestro país y que deberían fomentarse. Los trabajos aquí publicados se enmarcan dentro de las siguientes disciplinas y/o campos de investigación: Fonología, Sintaxis, Semántica y Pragmática, Lingüística Cognitiva, Análisis del Discurso, Psicolingüística, Adquisición de la Lengua, Sociolingüística y Dialectología, Didáctica de la lengua, Lingüística Aplicada, Lingüística Computacional, Historia de la Lengua y la Lingüística, Lenguas Aborígenes, Filosofía del Lenguaje, Lexicología y Terminología

Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019

Background: The global burden of lower respiratory infections (LRI) and corresponding risk factors in children older than five years and adults has not been studied as comprehensively as in children under five years old. We assessed the burden and trends of LRI and risk factors across all age groups by sex for 204 countries and territories. Methods: We used clinician-diagnosed pneumonia or bronchiolitis as our case definition for lower respiratory infections. We included ICD9 codes 073.0-073.6, 079.82, 466-469, 480-489, 513.0, and 770.0 and ICD10 codes A48.1, J09-J22, J85.1, P23-P23.9, and U04. We used the Cause of Death Ensemble modelling strategy to analyse 23,109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic review, population-based surveys, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors.Results: Globally, we estimated LRI episodes of 257 million (95% UI 240–275) for males and 232 million (217–248) for females in 2019. In the same year, LRI accounted for 1.3 million (1.2–1.4) deaths among males and 1.2 million (1.1–1.3) deaths among females. Age-standardised incidence and mortality rates were 1.2 times and 1.3 times greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups while an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older experiencing the highest increase in LRI episodes (126.0% [121.4–131.1]) and deaths (100.0% [83.4–115.9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for mortality among males under the age of five (70.7% [61.8–77.3]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths among males and females younger than five years were attributable to child wasting, and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution in 2019. For males aged 15–49, 50–69, and 70 years and older, 20.4 (15.4-25.2), 30.5% (24.1–36.9), and 21.9% (16.8–27.3), respectively, of estimated LRI deaths were attributable to smoking in the same year. For females aged 15–49 and 50–69 years, 21.1% (14.5–27.9) and 7.9% (5.5–10.5) of estimated LRI deaths were attributable to household air pollution in 2019. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11.7% (8.2–15.8) of LRI deaths in the same year.Interpretation: The patterns and progress in reducing the burden of LRI and key risk factors varied across age groups and sexes.. The progress seen in under five children was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to achieving multiple Sustainable Development Goals targets, including promoting well-being at all ages and reducing inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would mean preventable deaths and millions of lives saved, as well as reduced health disparities

Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019

Summary Background The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities