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Resumen Objetivos Estudiar la distribucion espacio-temporal de los casos de enfermedad neumococica invasora (ENI) por serotipos resistentes a eritromicina y su relacion con el consumo comunitario de macrolidos y la cobertura vacunal infantil. Metodos Se seleccionaron los casos de ENI en mayores de 59 anos residentes en la Comunidad de Madrid (CM) notificados en el periodo de 2007 a 2016. Las variables estudiadas fueron obtenidas de los sistemas de informacion vacunal y de Prestacion Farmaceutica. Se utilizo el punto de corte (concentracion minima inhibitoria de eritromicina > 0,5 mg/L) de la clasificacion de EUCAST para definir los serotipos resistentes a eritromicina. Mediante JointPoint se estimaron las tendencias de las incidencias de casos por serotipos resistentes a eritromicina incluidos en la vacuna trecevalente (STVCN13) y no incluidos (STnoVCN13). La asociacion de esas incidencias con el consumo comunitario de macrolidos y la cobertura vacunal se hizo mediante modelos de Poisson. Para la deteccion de clusteres espacio-temporales se utilizo el estadistico Satscan. Resultados Se identificaron 1.936 casos, de ellos, se detecto que 427 serotipos eran resistentes a la eritromicina. La incidencia de todos los casos por serotipos resistentes fue descendente (AAPC: -5,40%). La incidencia de casos por STVCN13 resistentes a la eritromicina fue descendente con un porcentaje anual del cambio (APC: -13,8) y estuvo asociada inversamente a la cobertura vacunal infantil (IRR 0,641), mientras que la de casos por STnoVCN13 resistentes a eritromicina fue ascendente (APC: 4,5) y no se asocio con la cobertura. Se detecto un cluster por STnoVCN13 y ninguno por STVCN13 tras la inclusion de la trecevalente en el calendario vacunal infantil. Conclusiones El descenso de ENI por STVCN13 resistentes se asocio con el incremento de la cobertura vacunal infantil. La presencia de clusteres de casos por STnoVCN13, en el periodo posterior a la inclusion de la VCN13, indica reemplazo de serotipos. El aumento de los casos por STnoVCN13 resistentes podria estar relacionado por el reemplazo de los serotipos vacunales en la colonizacion nasofaringea, facilitada por el consumo de macrolidos todavia a niveles altos en la CM.

Background Childhood leukemia is the most common childhood cancer. To date, few risk factors related to predisposition have been identified; therefore, new hypotheses should be considered. Objective To explore the possible relationship of residential proximity to urban green spaces on childhood leukemia. Methods We conducted a population-based case control study in the metropolitan area of Madrid from 2000 to 2015. It included 383 incident cases and 1935 controls, individually matched by birth year, sex and area of residence. Using the geographical coordinates of the participants’ home residences, we built a proxy for exposure with four distances (250 m, 500 m, 750 m and 1 km) to urban parks (UPs) and urban wooded areas (UWAs). We employed logistic regression models to determinate the effect of them on childhood leukemia adjusting for environmental and socio-demographic covariates. Results we found a reduction in childhood leukemia incidence at a distance of 250 m from UPs (OR = 0.78; 95%CI = 0.62–0.98), as well as a reduction of the incidence in the Q3 and Q4 quintiles for exposure to UWAs, in the 250 m and 500 m buffers respectively (Q3 (250 m): OR = 0.69; 95%CI = 0.48–1.00; and, Q4 (500 m): OR = 0.69; 95%CI = 0.48–0.99). Conclusions Our results suggest a possible association between lower incidence of childhood leukemia and proximity to different forms of urban green space. This study is a first approach to the possible urban green space effects on childhood leukemia so is necessary to continue studying this spaces taking into account more individual data and other environmental risk factors.

AIM: Pediatric cancer has been associated with exposure to certain environmental carcinogens. The purpose of this work is to analyse the relationship between environmental pollution and pediatric cancer risk. METHOD: We analysed all incidences of pediatric cancer (

FI=3.835 (año 2016), Q1 Background: Few risk factors for childhood renal tumors are well established. While a small fraction of cases might be attributable to susceptibility genes and congenital anomalies, the role of environmental factors needs to be assessed. Objectives: To explore the possible association between residential proximity to environmental pollution sources (industrial and urban areas, and agricultural crops) and childhood renal cancer, taking into account industrial groups and toxic substances released. Methods: We conducted a population-based case-control study of childhood renal cancer in Spain, including 213 incident cases gathered from the Spanish Registry of Childhood Tumors (period 1996-2011), and 1278 controls individually matched by year of birth, sex, and region of residence. Distances were computed from the respective subject's residences to the 1271 industries, the 30 urban areas with ≥75,000 inhabitants, and the agricultural crops located in the study area. Using logistic regression, odds ratios (ORs) and 95% confidence intervals (95%CIs) for categories of distance to pollution sources were calculated, with adjustment for matching variables and socioeconomic confounders. Results: Excess risk (OR; 95%CI) of childhood renal tumors was observed for children living near (≤2.5km) industrial installations as a whole (1.97; 1.13-3.42) - particularly glass and mineral fibers (2.69; 1.19-6.08), galvanization (2.66; 1.14-6.22), hazardous waste (2.59; 1.25-5.37), ceramic (2.35; 1.06-5.21), surface treatment of metals (2.25; 1.24-4.08), organic chemical industry (2.22; 1.15-4.26), food and beverage sector (2.19; 1.18-4.07), urban and waste-water treatment plants (2.14; 1.07-4.30), and production and processing of metals (1.98; 1.03-3.82) -, and in the proximity of agricultural crops (3.16; 1.54-8.89 for children with percentage of crop surface ≥24.35% in a 1-km buffer around their residences). Conclusions: Our study provides some epidemiological evidence that living near certain industrial areas and agricultural crops may be a risk factor for childhood renal cancer. This study was funded by Spain's Health Research Fund (Fondo de Investigación Sanitaria - FIS 12/01416 and FIS CP11/00112). No

Background Childhood cancer is a chronic disease with high survival rates. Childhood cancer survivors (CCS) can still face health effects later in their lives. Health-related quality of life (HRQoL) and the factors that modify it allow CCS and their families to improve care in the long-term follow-up. This study aims to: (1) examine the differences in HRQoL between CCS of extracranial malignancies and a comparison group, and (2) explore the clinical, environmental and lifestyles factors implicated in the HRQoL of CCS. Methods In this cross-sectional study with a case vs. non-case comparison, the HRQoL of 117 CCS between 8 and 18 years old was compared with healthy non-cases paired by sex and age. The Pediatric Environmental History (PEHis) was applied to obtain information on sociodemographic, clinical, environmental and lifestyle factors. The PedsQL™ Generic Core Scales questionnaire was used to evaluate HRQoL. Results In the multivariate analysis among the CCS, the following variables were significantly associated with HRQoL: Poor outdoor air quality (Total, Psychosocial, Emotional, Social and School domains); household income (Total, Psychosocial and School domains); and the presence of late effects (Total, Physical, Psychosocial, and Social domains); regular contact with nature (Physical domain); and the daily hours of screen-time (Emotional domain). CCS present HRQoL results superior to the non-cases group in the physical domain (86.10 vs. 80.34; p=0.001), finding no differences in the other domains evaluated. Conclusions An environmental and community health approach, such as PEHis, in CCS long-term programs promoting the creation of healthier environments and lifestyles contributes to improving their HRQoL and secondarily other chronic diseases.

BACKGROUND: Waste treatment plants release toxic emissions into the environment which affect neighboring towns. OBJECTIVES: To investigate whether there might be excess cancer mortality in towns situated in the vicinity of Spanish-based incinerators and installations for the recovery or disposal of hazardous waste, according to the different categories of industrial activity. METHODS: An ecologic study was designed to examine municipal mortality due to 33 types of cancer, across the period 1997-2006. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. Using Besag-York-Mollié (BYM) regression models with Integrated Nested Laplace approximations for Bayesian inference, and Mixed Poisson regression models, we assessed the risk of dying from cancer in a 5-kilometer zone around installations, analyzed the effect of category of industrial activity, and conducted individual analyses within a 50-kilometer radius of each installation. RESULTS: Excess cancer mortality (BYM model: relative risk, 95% credible interval) was detected in the total population residing in the vicinity of these installations as a whole (1.06, 1.04-1.09), and, principally, in the vicinity of incinerators (1.09, 1.01-1.18) and scrap metal/end-of-life vehicle handling facilities, in particular (1.04, 1.00-1.09). Special mention should be made of the results for tumors of the pleura (1.71, 1.34-2.14), stomach (1.18, 1.10-1.27), liver (1.18, 1.06-1.30), kidney (1.14, 1.04-1.23), ovary (1.14, 1.05-1.23), lung (1.10, 1.05-1.15), leukemia (1.10, 1.03-1.17), colon-rectum (1.08, 1.03-1.13) and bladder (1.08, 1.01-1.16) in the vicinity of all such installations. CONCLUSIONS: Our results support the hypothesis of a statistically significant increase in the risk of dying from cancer in towns near incinerators and installations for the recovery or disposal of hazardous waste. This study was funded by Spain's Health Research Fund (Fondo de Investigación Sanitaria — FIS 080662 and FIS CP11/0012) and ISCIII EPY 1398/09, and formed as part of the MEDEA project (Mortalidad en áreas pequeñas Españolas y Desigualdades socio-Económicas y Ambientales — Mortality in small Spanish areas and socio-economic and environmental inequalities). Sí

Mining installations are releasing toxic substances into the environment which could pose a health problem to populations in their vicinity. We sought to investigate whether there might be excess cancer-related mortality in populations residing in towns lying in the vicinity of Spanish mining industries governed by the Integrated Pollution Prevention and Control Directive, and the European Pollutant Release and Transfer Register Regulation, according to the type of extraction method used. An ecologic study was designed to examine municipal mortality due to 32 types of cancer, across the period 1997 through 2006. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. Poisson regression models, using the Bayesian conditional autoregressive model proposed by Besag, York and Molliè and Integrated Nested Laplace Approximations for Bayesian inference, were used: to analyze risk of dying from cancer in a 5-kilometer zone around mining installations; effect of type of industrial activity; and to conduct individual analyses within a 50-kilometer radius of each installation. Excess mortality (relative risk, 95% credible interval) of colorectal cancer (1.097, 1.041-1.157), lung cancer (1.066, 1.009-1.126) specifically related with proximity to opencast coal mining, bladder cancer (1.106, 1.016-1.203) and leukemia (1.093, 1.003-1.191) related with other opencast mining installations, was detected among the overall population in the vicinity of mining installations. Other tumors also associated in the stratified analysis by type of mine, were: thyroid, gallbladder and liver cancers (underground coal installations); brain cancer (opencast coal mining); stomach cancer (coal and other opencast mining installations); and myeloma (underground mining installations). The results suggested an association between risk of dying due to digestive, respiratory, hematologic and thyroid cancers and proximity to Spanish mining industries. These associations were dependent on the type of mine. This study was funded by Spain's Health Research Fund (Fondo de Investigación Sanitaria — FIS 080662 and FIS CP11/0012) and formed as part of the MEDEA project (Mortalidad en áreas pequeñas Españolas y Desigualdades socio-Económicas y Ambientales — Mortality in small Spanish areas and socioeconomic and environmental inequalities). Sí

High-chronic arsenic exposure in drinking water is associated with increased cardiovascular disease risk. At low-chronic levels, as those present in Spain, evidence is scarce. In this ecological study, we evaluated the association of municipal drinking water arsenic concentrations during the period 1998-2002 with cardiovascular mortality in the population of Spain.Arsenic concentrations in drinking water were available for 1721 municipalities, covering 24.8 million people. Standardized mortality ratios (SMRs) for cardiovascular (361,750 deaths), coronary (113,000 deaths), and cerebrovascular (103,590 deaths) disease were analyzed for the period 1999-2003. Two-level hierarchical Poisson models were used to evaluate the association of municipal drinking water arsenic concentrations with mortality adjusting for social determinants, cardiovascular risk factors, diet, and water characteristics at municipal or provincial level in 651 municipalities (200,376 cardiovascular deaths) with complete covariate information.Mean municipal drinking water arsenic concentrations ranged from1 to 118 microg/L. Compared to the overall Spanish population, sex- and age-adjusted mortality rates for cardiovascular (SMR 1.10), coronary (SMR 1.18), and cerebrovascular (SMR 1.04) disease were increased in municipalities with arsenic concentrations in drinking water10 microg/L. Compared to municipalities with arsenic concentrations1 microg/L, fully adjusted cardiovascular mortality rates were increased by 2.2% (-0.9% to 5.5%) and 2.6% (-2.0% to 7.5%) in municipalities with arsenic concentrations between 1-10 and10 microg/L, respectively (P-value for trend 0.032). The corresponding figures were 5.2% (0.8% to 9.8%) and 1.5% (-4.5% to 7.9%) for coronary heart disease mortality, and 0.3% (-4.1% to 4.9%) and 1.7% (-4.9% to 8.8%) for cerebrovascular disease mortality.In this ecological study, elevated low-to-moderate arsenic concentrations in drinking water were associated with increased cardiovascular mortality at the municipal level. Prospective cohort studies with individual measures of arsenic exposure, standardized cardiovascular outcomes, and adequate adjustment for confounders are needed to confirm these ecological findings. Our study, however, reinforces the need to implement arsenic remediation treatments in water supply systems above the World Health Organization safety standard of 10 microg/L.

The objectives of this study are to identify inequalities in mortality among census tracts of 11 Spanish cities in the period 1996-2003 and to analyse the relationship between these geographical inequalities and socioeconomic deprivation. It is a cross-sectional ecological study where the units of analysis are census tracts. We obtained an index of socioeconomic deprivation and estimated SMR by each census tract using hierarchical Bayesian models which take into account the spatial structure. In the majority of the cities geographical patterns in total mortality were found in both sexes, which were similar to those for the index of socioeconomic deprivation. Among men, four specific causes of death (lung cancer, ischemic heart diseases, respiratory diseases and cirrhosis) were positively associated with deprivation in the majority of cities. Among women the specific causes diabetes and cirrhosis were positively associated, while lung cancer was negatively associated with deprivation. The excess of mortality related with deprivation was 59,445 deaths among men and 23,292 among women. These results highlight the importance of intra-urban inequalities in health.

ResumenObjetivosa) Describir la metodología seguida en la construcción de un índice de privación por sección censal en ciudades, que permite identificar las secciones con situaciones socioeconómicas más desfavorables, y b) analizar la relación de este índice con la mortalidad general.MétodosSe elaboraron diversos indicadores socioeconómicos (Censo 2001) correspondientes a las secciones censales de las ciudades de Barcelona, Bilbao, Madrid, Sevilla y Valencia. Se estudiaron sus correlaciones con la razón estandarizada de mortalidad (1996-2003), así como sus dimensiones conceptuales. Finalmente, mediante el análisis de componentes principales, se agregaron en un índice los indicadores seleccionados, usando como valores de peso las saturaciones correspondientes al primer eje.ResultadosLos indicadores que presentaron mayores correlaciones con la mortalidad general fueron los referidos a trabajo, educación, vivienda-entorno y hogares monoparentales. En el análisis dimensional de los indicadores aparece una primera dimensión que contiene los indicadores relativos a trabajo (desempleo, trabajadores manuales y eventuales) y educación (instrucción insuficiente total y en jóvenes). El índice elaborado con estos 5 indicadores recoge, en todas las ciudades estudiadas, más del 75% de la variabilidad de los indicadores que lo componen. Las correlaciones de este índice con la mortalidad muestran, en general, mayores valores que las obtenidas individualmente con cada indicador.ConclusionesEl índice de privación que se propone puede ser un instrumento útil para la planificación sanitaria al detectar áreas pequeñas de grandes ciudades con una situación socioeconómica desfavorable, que se relaciona con la mortalidad, y puede contribuir al estudio de las desigualdades sociales en salud en España.AbstractObjectivesa) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality.MethodsSeveral socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values.ResultsThe indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately.ConclusionsThe deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

The study was partially funded by the “Accion Transversal del Cancer”, approved on the Spanish Ministry Council on the 11th October 2007, by the Instituto de Salud Carlos III-FEDER (PI08/1770, PI08/0533, PI08/1359, PS09/00773, PS09/01286,PS09/01903, PS09/02078, PS09/01662, PI11/01403, PI11/01889,PI11/00226, PI11/01810, PI11/02213, PI12/00488, PI12/00265,PI12/01270, PI12/00715, PI12/00150), Castaño-Vinyals, G., Aragonés, N., Pérez-Gómez, B., Martín, V., Llorca, J., Moreno, V., Altzibar, J.M., Ardanaz, E., de Sanjosé, S., Jiménez-Moleón, J.J., Tardón, A., Alguacil, J., Peiró, R., Marcos-Gragera, R., Navarro, C., Pollán, M., Kogevinas, M., Alonso, M.T., Amiano, P., Arias, C., Azpiri, M., Benavente, Y., Boldo, E., Bueno, A., Bustamante, M., Caballero, F.J., Campo, E., Cantón, R., Capelo, R., Carmona, C., Casabonne, D., Chirlaque, M.D., Cirac, J., Clofent, J., Colado, E., Costas, L., Crous, M., Del Campo, R., Santos, M.D., Dierssen-Sotos, T., Ederra, M., Espinosa, A., Cabrera, M.F., Somoano, A.F., Villa, T.F., García-Esquinas, E.G., Martín, P.G., Gómez-Acebo, I., Puga, C.G., Gràcia, E., Eslava, M.G., Guinó, E., Huerta, J.M., Lope, V., López-Abente, G., Lopez-Otín, C., Argüelles, B.M., Salas, S.M., Pozo, B.M., de la Torre, A.J., Moreno, E., Iribas, C.M., Olea, N., Gelis, G.O., Paré, L., Porta, M., Puig, M., Del Fresno, M.R., Robles, C., Suarez, M.M., Romero, B., Castillo, A.I., Serra, M.S., Trejo, D.S., Santaballa, A., Santibáñez, M., Sierra, Á., Souto, A., Villanueva, C.M., Carrasco, E., Sabaté, Y., Persavento, C., García, M., Carrasco, G., Expósito, A., Andreu, M., Bessa, X., Piracés, M., Lorente, J.A., Tusquets, I., Collet, I., Bory, F., Pera, M., Abella, E., Garcia, F., Salar, A., Piñol, M., Fernandez-Llamazares, J., Martín, M.V., Garsot, E., Servio, L.I., Arzoz-Fabregas, M., Suarez, L., Ruiz, J.M., Castells, A., Serradesanferm, A., Bosch, A., Muñoz, M., Fontanillas, M., Alcaraz, A., Mengual, L., Duran, E., Izard, C., López, C., Benítez, J.M., Massanes, A.B., Ferrer, O.G., Almeda, J., Sarret, S., Rodriguez, M.A., Valmaseda, A.B., Liceran, M., Petitbó, D., Nolla, J.I., Pérez, S., Martínez, S., Vilaseca, J.M., Sebastián, L., Quesada, P., Sequera, G., Barca, E.G., Domingo-Domenech, E., Oliveira, A., Alonso, E., de la Banda, E., Sabater, Y., Vergara, M., Exposito, A., Alonso, T., Padrol, I., Klaustermeier, J., Florencia, Y., Camon, V., Esteban, A., Aymerich, M., Lopez-Otin, C., Muñoz, A., Torralba, Y., Dot, D., Mercadal, S., Sarra, J., Medina, P., Atienza, C., Biondo, S., de Oca, J., Ferran, L., Rodriguez-Moranta, F., Soriano, A., Guardiola, J., Urruticoechea, A., Galan, M., Banda, J.M., Zumel, Á., Saez, A., Garrido, J.A., Lacasaña, M., Ariza, J.L., García, T., García, M.Á., Hidalgo, M.Á., Asuero, M., Bayo, J., Vázquez, V.C., Franco, F., Gurucelain, J.L., Frías, M.J., Van de Haar, R., Viñas, J., Jiménez, H., Aguayo, M., Pereira, A., Gutiérrez, S.P., Rada, R., Candón, J., Domínguez, J., Ramos, M., Pedraza, G., Braulio, J., Salas, J., Labrero, D., Muñoz, D., Barrero, F., Delgado, S., Galisteo, L., Camacho, A., Elena, H., Caballero, J., Muñoz, M.J., Arredondo, F., Linares, R., Tejada, A., Tinto, H., Alés, J.D., Coronado, M.V., Bernal, M.L., Ortiz, J.L., Ocaña, M.N., Cavanillas, A.B., Miguel, Mejías, E.J., Abril, O.M., Requena, R.O., Morata, J.L., Echezarreta, E.G., López, L.M., Martínez, M.M., Sedano, P.P., de la Pedraja Pavón, A., López-Rojo, C., Mendiola, J., Pellicer, E., Caparrós, J.M., Oltra, E.G., Martínez, J.M., Molina, A., Villanueva, V., Miranda, M.J., Abril, C., Martinez, J., Salas, D., Ruiz, J.L., Ponce, M., Noos, P., Cervera, J., Del Val, A., Segura, A., Jiménez, N., Bellmunt, E., Aznar, I., Ramos, D., Montón, T., Solera, M.C., Mora, E.M., Estañ, N., Camarasa, N., Solanas, J.V., Ripoll, J., Cantero, J., Díaz, C.A., García, A.S., Avellón, S.M., Neumann, M., González, M.J., Suárez, M.M., Fernández, G., Fresno, M.R., Gómez, A., Garín, U., de Gros, A., Tamayo, E., Rua, M., Lasarte, C.S., Jauregi, M., Recio, J., Fernández, M., Múgica, M., Ciria, J.P., Guimón, E., Adúriz, C., Lacasta, A., Francisco, J.S., Alvarez, I., Enriquez-Navascués, J.M., Ruiz, I., Michelena, M., Alberro, J.A., Almansa, A.M., Goñi, L.M., Elizagaray, M.I., Técnico, M.O., Pérez, R.B., De Miguel Medina, M.C., Repáraz Romero, M., de Azúa Ciria, A.Y., Díaz, M.M., Lizárraga, M.S., Jiménez, Y.L., López, C.E., Legaz, S.O., Lezaun, R.A., Hurtado, H.O., De Miguel Velasco, M., Rubio, P.A., Cunchillos, F.D., de Liaño Arguelles, Á.D., Peñuela, J.M., Dorronsoro, M.L., Celaya, F.B., García, D.R., de la Higuera Carnicer, B.G., Tricas, J.M., Rivera, E.M., García, F.V., Noain, J.J., Erdozain, E.A., Ulibarrena, C.I., Lopeandía, J.G., Caden, M.A., Moraza, F.A., Domench, J.J., Arteaga, A.A., Navarro, K.A., Del Burgo Tajadura, M.A., Irastorza, F.C., Urrisarri, M.J., Zubicoa, B.F., Lorente, P.G., Sevilla, P.H., Echamendi, M.L., Díaz, Á.M., Salaverri, J.M., Gorricho, F.J., Del Valle, M.P., de Prado Marcilla, J., Garcésducar, M., Herce, P.A., 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T., Arroba, A., Ballesteros, A., Canora, S., García, C., Romero, M., José, T.S., Espinel, M., Mañas, A., Sánchez, M., Ramón, H., Morillo, J.L., Cuchí, M., García, M.J., Ramos, J.M., Rojo, R., Sanjuanbenito, A., Villanueva, A.G., Gras, M., Cabañas, J.L., Collado, V., Arano, I., Capela, I., Mojarrieta, C., Peñas, B., Rodríguez, M., Ramos, A., Sancho, S., Hervás, A., Moreno, P., Sánchez, C., DoloresRubio, Montoya, L., Sancho, P., Rodríguez, L., Durán, E., Morel, S., Burgos, J., García, R., Del Cañizo, C.G., Díaz, A., González, F., Cristóbal, E., Barahona, C., Vázquez, S., Esteban, V., Pedrera, M., Martínez, J., Carrato, A., Ponce, C.G., Santos-Olmo, A., Barrientos, R.R., López, G., Fernández, A., García, A.B., Noriega, A., Campo, M., Varona, E., López, F., Montero, M., Gómez, M.T., Bartibas, P., Sanz, R., Montes, T., Salinero, M.Á., Herrero, M., Igea, M., Calvo, C., Pérez-Pellón, C., Maestre, M., Agora, M.A., Martín, M.G., Velázquez, D., Fernández, B., Castro, M., Ayuso, E., Masa, R., 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