Gestión y Gobernanza en el Desarrollo Metropolitano de Toluca 2011-2018

La presente investigación tiene como objetivo analizar los componentes de gestión metropolitana que existen en México, destacando sus características y atributos principales, sus estructuras y la forma en la operan, ello con el propósito de identificar sus alcances y limitaciones en el marco de una gestión con un enfoque de gobernanza, misma que aporta elementos para el desarrollo de propuestas que apoyen las actividades de la estructura gubernamental existente. El referente de análisis es el sistema de gestión de la Zona Metropolitana de Toluca (ZMT), considerado uno de los esquemas representativos del país en la configuración e implementación de estrategias para este ámbito, identificando atributos en lo jurídico, organizacional y en la incorporación de instrumentos de planeación y financiamiento.En el marco del desarrollo metropolitano en México, el gobierno y la sociedad han planteado diversas estrategias para gestionar las zonas metropolitanas; principalmente, se observa el reforzamiento del marco jurídico dirigido a facilitar la coordinación metropolitana; la incorporación de organismos que promueven la asociación intermunicipal; y el diseño de instrumentos que complementan el financiamiento y planeación de estrategias a esta escala. Aún con estos atributos, se observa que las metrópolis enfrentan un estado de crisis, sobre todo se percibe, la carencia de sustentabilidad en el ambiente urbano, altos niveles de segregación, exclusión y pobreza, riesgos de baja productividad y el incremento de sus problemáticas urbanas. Si se busca alcanzar altos entandares de bienestar, progreso y desarrollo, se deben dirigir, e incluso reorientar, las estrategias de gestión implementadas, lo cual se ha identificado como un factor estratégico que fortalece e incrementa los beneficios que ofrecen estos espacios

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions

Identification of genetic variants associated with Huntington's disease progression: a genome-wide association study

Background Huntington's disease is caused by a CAG repeat expansion in the huntingtin gene, HTT. Age at onset has been used as a quantitative phenotype in genetic analysis looking for Huntington's disease modifiers, but is hard to define and not always available. Therefore, we aimed to generate a novel measure of disease progression and to identify genetic markers associated with this progression measure. Methods We generated a progression score on the basis of principal component analysis of prospectively acquired longitudinal changes in motor, cognitive, and imaging measures in the 218 indivduals in the TRACK-HD cohort of Huntington's disease gene mutation carriers (data collected 2008–11). We generated a parallel progression score using data from 1773 previously genotyped participants from the European Huntington's Disease Network REGISTRY study of Huntington's disease mutation carriers (data collected 2003–13). We did a genome-wide association analyses in terms of progression for 216 TRACK-HD participants and 1773 REGISTRY participants, then a meta-analysis of these results was undertaken. Findings Longitudinal motor, cognitive, and imaging scores were correlated with each other in TRACK-HD participants, justifying use of a single, cross-domain measure of disease progression in both studies. The TRACK-HD and REGISTRY progression measures were correlated with each other (r=0·674), and with age at onset (TRACK-HD, r=0·315; REGISTRY, r=0·234). The meta-analysis of progression in TRACK-HD and REGISTRY gave a genome-wide significant signal (p=1·12 × 10−10) on chromosome 5 spanning three genes: MSH3, DHFR, and MTRNR2L2. The genes in this locus were associated with progression in TRACK-HD (MSH3 p=2·94 × 10−8 DHFR p=8·37 × 10−7 MTRNR2L2 p=2·15 × 10−9) and to a lesser extent in REGISTRY (MSH3 p=9·36 × 10−4 DHFR p=8·45 × 10−4 MTRNR2L2 p=1·20 × 10−3). The lead single nucleotide polymorphism (SNP) in TRACK-HD (rs557874766) was genome-wide significant in the meta-analysis (p=1·58 × 10−8), and encodes an aminoacid change (Pro67Ala) in MSH3. In TRACK-HD, each copy of the minor allele at this SNP was associated with a 0·4 units per year (95% CI 0·16–0·66) reduction in the rate of change of the Unified Huntington's Disease Rating Scale (UHDRS) Total Motor Score, and a reduction of 0·12 units per year (95% CI 0·06–0·18) in the rate of change of UHDRS Total Functional Capacity score. These associations remained significant after adjusting for age of onset. Interpretation The multidomain progression measure in TRACK-HD was associated with a functional variant that was genome-wide significant in our meta-analysis. The association in only 216 participants implies that the progression measure is a sensitive reflection of disease burden, that the effect size at this locus is large, or both. Knockout of Msh3 reduces somatic expansion in Huntington's disease mouse models, suggesting this mechanism as an area for future therapeutic investigation

Evolution over Time of Ventilatory Management and Outcome of Patients with Neurologic Disease∗

OBJECTIVES: To describe the changes in ventilator management over time in patients with neurologic disease at ICU admission and to estimate factors associated with 28-day hospital mortality. DESIGN: Secondary analysis of three prospective, observational, multicenter studies. SETTING: Cohort studies conducted in 2004, 2010, and 2016. PATIENTS: Adult patients who received mechanical ventilation for more than 12 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among the 20,929 patients enrolled, we included 4,152 (20%) mechanically ventilated patients due to different neurologic diseases. Hemorrhagic stroke and brain trauma were the most common pathologies associated with the need for mechanical ventilation. Although volume-cycled ventilation remained the preferred ventilation mode, there was a significant (p < 0.001) increment in the use of pressure support ventilation. The proportion of patients receiving a protective lung ventilation strategy was increased over time: 47% in 2004, 63% in 2010, and 65% in 2016 (p < 0.001), as well as the duration of protective ventilation strategies: 406 days per 1,000 mechanical ventilation days in 2004, 523 days per 1,000 mechanical ventilation days in 2010, and 585 days per 1,000 mechanical ventilation days in 2016 (p < 0.001). There were no differences in the length of stay in the ICU, mortality in the ICU, and mortality in hospital from 2004 to 2016. Independent risk factors for 28-day mortality were age greater than 75 years, Simplified Acute Physiology Score II greater than 50, the occurrence of organ dysfunction within first 48 hours after brain injury, and specific neurologic diseases such as hemorrhagic stroke, ischemic stroke, and brain trauma. CONCLUSIONS: More lung-protective ventilatory strategies have been implemented over years in neurologic patients with no effect on pulmonary complications or on survival. We found several prognostic factors on mortality such as advanced age, the severity of the disease, organ dysfunctions, and the etiology of neurologic disease

Relation of Lipoprotein(a) Levels to Incident Type 2 Diabetes and Modification by Alirocumab Treatment

none1691siOBJECTIVE: In observational data, lower levels of lipoprotein(a) have been associated with greater prevalence of type 2 diabetes. Whether pharmacologic lowering of lipoprotein(a) influences incident type 2 diabetes is unknown. We determined the relationship of lipoprotein(a) concentration with incident type 2 diabetes and effects of treatment with alirocumab, a PCSK9 inhibitor. RESEARCH DESIGN AND METHODS: In the ODYSSEY OUTCOMES trial alirocumab was compared with placebo in patients with acute coronary syndrome. Incident diabetes was determined from laboratory, medication, and adverse event data. RESULTS: Among 13,480 patients without diabetes at baseline, 1,324 developed type 2 diabetes over a median 2.7 years. Median baseline lipoprotein(a) was 21.9 mg/dL. With placebo, 10 mg/dL lower baseline lipoprotein(a) was associated with hazard ratio 1.04 (95% CI 1.02-1.06, P < 0.001) for incident type 2 diabetes. Alirocumab reduced lipoprotein(a) by a median 23.2% with greater absolute reductions from higher baseline levels and no overall effect on incident type 2 diabetes (hazard ratio 0.95, 95% CI 0.85-1.05). At low baseline lipoprotein(a) levels, alirocumab tended to reduce incident type 2 diabetes, while at high baseline lipoprotein(a) alirocumab tended to increase incident type 2 diabetes compared with placebo (treatment-baseline lipoprotein(a) interaction P = 0.006). In the alirocumab group, a 10 mg/dL decrease in lipoprotein(a) from baseline was associated with hazard ratio 1.07 (95% CI 1.03-1.12; P = 0.0002) for incident type 2 diabetes. CONCLUSIONS: In patients with acute coronary syndrome, baseline lipoprotein(a) concentration associated inversely with incident type 2 diabetes. Alirocumab had neutral overall effect on incident type 2 diabetes. However, treatment-related reductions in lipoprotein(a), more pronounced from high baseline levels, were associated with increased risk of incident type 2 diabetes. Whether these findings pertain to other therapies that reduce lipoprotein(a) is undetermined.restrictedSchwartz G.G.; Szarek M.; Bittner V.A.; Bhatt D.L.; Diaz R.; Goodman S.G.; Jukema J.W.; Loy M.; Manvelian G.; Pordy R.; White H.D.; Steg P.G. ODYSSEY OUTCOMES Committees and Investigators: Gregory G Schwartz, Philippe Gabriel Steg, Deepak L Bhatt, Vera A Bittner, Rafael Diaz, Shaun G Goodman, Robert A Harrington, J Wouter Jukema, Michael Szarek, Harvey D White, Andreas M Zeiher, Pierluigi Tricoci, Matthew T Roe, Kenneth W Mahaffey, Jay M Edelberg, Corinne Hanotin, Guillaume Lecorps, Angèle Moryusef, Robert Pordy, William J Sasiela, Jean-François Tamby, Philip E Aylward, Heinz Drexel, Peter Sinnaeve, Mirza Dilic, Renato D Lopes, Nina N Gotcheva, Juan-Carlos Prieto, Huo Yong, Patricio López-Jaramillo, Ivan Pećin, Zeljko Reiner, Petr Ostadal, Margus Viigimaa, Markku S Nieminen, Vakhtang Chumburidze, Nikolaus Marx, Nicolas Danchin, Evangelos Liberopoulos, Pablo Carlos Montenegro Valdovinos, Hung-Fat Tse, Robert Gabor Kiss, Denis Xavier, Doron Zahger, Marco Valgimigli, Takeshi Kimura, Hyo Soo Kim, Sang-Hyun Kim, Andrejs Erglis, Aleksandras Laucevicius, Sasko Kedev, Khalid Yusoff, Gabriel Arturo Ramos López, Marco Alings, Sigrun Halvorsen, Roger M Correa Flores, Andrzej Budaj, Joao Morais, Maria Dorobantu, Yuri Karpov, Arsen D Ristic, Terrance Chua, Jan Murin, Zlatko Fras, Anthony J Dalby, José Tuñón, H Asita de Silva, Emil Hagström, Ulf Landmesser, Chern-En Chiang, Piyamitr Sritara, Sema Guneri, Alexander Parkhomenko, Kausik K Ray, Patrick M Moriarty, Robert Vogel, Bernard Chaitman, Sheryl F Kelsey, Anders G Olsson, Jean-Lucien Rouleau, Maarten L Simoons, Karen Alexander, Chiara Meloni, Robert Rosenson, Eric J G Sijbrands, Pierluigi Tricoci, John H Alexander, Luciana Armaganijan, Akshay Bagai, Maria Cecilia Bahit, J Matthew Brennan, Shaun Clifton, Adam D DeVore, Shalonda Deloatch, Sheila Dickey, Keith Dombrowski, Grégory Ducrocq, Zubin Eapen, Patricia Endsley, Arleen Eppinger, Robert W Harrison, Connie Ng Hess, Mark A Hlatky, Joseph Dedrick Jordan, Joshua W Knowles, Bradley J Kolls, David F Kong, Sergio Leonardi, Linda Lillis, David J Maron, Jill Marcus, Robin Mathews, Rajendra H Mehta, Robert J Mentz, Humberto Graner Moreira, Chetan B Patel, Sabrina Bernardez-Pereira, Lynn Perkins, Thomas J Povsic, Etienne Puymirat, William Schuyler Jones, Bimal R Shah, Matthew W Sherwood, Kenya Stringfellow, Darin Sujjavanich, Mustafa Toma, Charlene Trotter, Sean Van Diepen, Matthew D Wilson, Andrew T Yan, Lilia B Schiavi, Marcelo Garrido, Andrés F Alvarisqueta, Sonia A Sassone, Anselmo P Bordonava, Alberto E Alves De Lima, Jorge M Schmidberg, Ernesto A Duronto, Orlando C Caruso, Leonardo P Novaretto, Miguel Angel Hominal, Oscar R Montaña, Alberto Caccavo, Oscar A Gomez Vilamajo, Alberto J Lorenzatti, Luis R Cartasegna, Gustavo A Paterlini, Ignacio J Mackinnon, Guillermo D Caime, Marcos Amuchastegui, Oscar Salomone, Oscar R Codutti, Horacio O Jure, Julio O E Bono, Adrian D Hrabar, Julio A Vallejos, Rodolfo A Ahuad Guerrero, Federico Novoa, Cristian A Patocchi, Cesar J Zaidman, Maria E Giuliano, Ricardo D Dran, Marisa L Vico, Gabriela S Carnero, Pablo N Guzman, Juan C Medrano Allende, Daniela F Garcia Brasca, Miguel H Bustamante Labarta, Sebastian Nani, Eduardo D S Blumberg, Hugo R Colombo, Alberto Liberman, Victorino Fuentealba, Hector L Luciardi, Gabriel D Waisman, Mario A Berli, Ruben O Garcia Duran, Horacio G Cestari, Hugo A Luquez, Jorge A Giordano, Silvia S Saavedra, Gerardo Zapata, Osvaldo Costamagna, Susana Llois, Jonathon H Waites, Nicholas Collins, Allan Soward, Chris L S Hii, James Shaw, Margaret A Arstall, John Horowitz, Daniel Ninio, James F Rogers, David Colquhoun, Romulo E Oqueli Flores, Philip Roberts-Thomson, Owen Raffel, Sam J Lehman, Constantine Aroney, Steven G M Coverdale, Paul J Garrahy, Gregory Starmer, Mark Sader, Patrick A Carroll, Ronald Dick, Robert Zweiker, Uta Hoppe, Kurt Huber, Rudolf Berger, Georg Delle-Karth, Bernhard Frey, Franz Weidinger, Dirk Faes, Kurt Hermans, Bruno Pirenne, Attilio Leone, Etienne Hoffer, Mathias C M Vrolix, Luc De Wolf, Bart Wollaert, Marc Castadot, Karl Dujardin, Christophe Beauloye, Geert Vervoort, Harry Striekwold, Carl Convens, John Roosen, Emanuele Barbato, Marc Claeys, Frank Cools, Ibrahim Terzic, Fahir Barakovic, Zlatko Midzic, Belma Pojskic, Emir Fazlibegovic, Mehmed Kulić, Azra Durak-Nalbantic, Dusko Vulic, Adis Muslibegovic, Boris Goronja, Gilmar Reis, Luciano Sousa, Jose C Nicolau, Flavio E Giorgeto, Ricardo P Silva, Lilia Nigro Maia, Rafael Rech, Paulo R F Rossi, Maria José A G Cerqueira, Norberto Duda, Renato Kalil, Adrian Kormann, José Antonio M Abrantes, Pedro Pimentel Filho, Ana Priscila Soggia, Mayler O N de Santos, Fernando Neuenschwander, Luiz C Bodanese, Yorghos L Michalaros, Freddy G Eliaschewitz, Maria H Vidotti, Paulo E Leaes, Roberto V Botelho, Sergio Kaiser, Euler Roberto Fernandes Manenti, Dalton B Precoma, Jose C Moura Jorge, Pedro G Silva, Jose A Silveira, Wladmir Saporito, Jose A Marin-Neto, Gilson S Feitosa, Luiz Eduardo F Ritt, Juliana A de Souza, Fernando Costa, Weimar K S B Souza, Helder J L Reis, Leandro Machado, José Carlos Aidar Ayoub, Georgi V Todorov, Fedya P Nikolov, Elena S Velcheva, Maria L Tzekova, Haralambi O Benov, Stanislav L Petranov, Haralin S Tumbev, Nina S Shehova-Yankova, Dimitar T Markov, Dimitar H Raev, Mihail N Mollov, Kostadin N Kichukov, Katya A Ilieva-Pandeva, Raya Ivanova, Maryana Gospodinov, Valentina M Mincheva, Petar V Lazov, Bojidar I Dimov, Manohara Senaratne, James Stone, Jan Kornder, Stephen Pearce, Danielle Dion, Daniel Savard, Yves Pesant, Amritanshu Pandey, Simon Robinson, Gilbert Gosselin, Saul Vizel, Gordon Hoag, Ronald Bourgeois, Anne Morisset, Eric Sabbah, Bruce Sussex, Simon Kouz, Paul MacDonald, Ariel Diaz, Nicolas Michaud, David Fell, Raymond Leung, Tycho Vuurmans, Christopher Lai, Frank Nigro, Richard Davies, Gustavo Nogareda, Ram Vijayaraghavan, John Ducas, Serge Lepage, Shamir Mehta, James Cha, Robert Dupuis, Peter Fong, Sohrab Lutchmedial, Josep Rodes-Cabau, Hussein Fadlallah, David Cleveland, Thao Huynh, Iqbal Bata, Adnan Hameed, Cristian Pincetti, Sergio Potthoff, Monica Acevedo, Arnoldo Aguirre, Margarita Vejar, Mario Yañez, Guillermo Araneda, Mauricio Fernandez, Luis Perez, Paola Varleta, Fernando Florenzano, Laura Huidobro, Carlos A Raffo, Claudia Olivares, Leonardo Nahuelpan, Humberto Montecinos, Jiyan Chen, Yugang Dong, Weijian Huang, Jianzhong Wang, Shi'An Huang, Zhuhua Yao, Xiang Li, Lan Cui, Wenhua Lin, Yuemin Sun, Jingfeng Wang, Jianping Li, Xuelian Zhang, Hong Zhu, Dandan Chen, Lan Huang, Shaohong Dong, Guohai Su, Biao Xu, Xi Su, Xiaoshu Cheng, Jinxiu Lin, Wenxia Zong, Huanming Li, Yi Feng, Dingli Xu, Xinchun Yang, Yuannan Ke, Xuefeng Lin, Zheng Zhang, Zeqi Zheng, Zhurong Luo, Yundai Chen, Chunhua Ding, Yi Zhong, Yang Zheng, Xiaodong Li, Daoquan Peng, Shuiping Zhao, Ying Li, Xuebo Liu, Meng Wei, Shaowen Liu, Yihua Yu, Baiming Qu, Weihong Jiang, Yujie Zhou, Xingsheng Zhao, Zuyi Yuan, Ying Guo, Xiping Xu, Xubo Shi, Junbo Ge, Guosheng Fu, Feng Bai, Weiyi Fang, Xiling Shou, Xiangjun Yang, Jian'An Wang, Meixiang Xiang, Yingxian Sun, Qinghua Lu, Ruiyan Zhang, Jianhua Zhu, Yizhou Xu, Zhongcai Fan, Tianchang Li, Chun Wu, Nicolas Jaramillo, Gregorio Sanchez Vallejo, Diana C Luna Botia, Rodrigo Botero Lopez, Dora I Molina De Salazar, Alberto J Cadena Bonfanti, Carlos Cotes Aroca, Juan Diego Higuera, Marco Blanquicett, Sandra I Barrera Silva, Henry J Garcia Lozada, Julian A Coronel Arroyo, Jose L Accini Mendoza, Ricardo L Fernandez Ruiz, Alvaro M Quintero Ossa, Fernando G Manzur Jatin, Aristides Sotomayor Herazo, Jeffrey Castellanos Parada, Rafael Suarez Arambula, Miguel A Urina Triana, Angela M Fernandez Trujillo, Maja Strozzi, Siniša Car, Melita Jerić, Davor Miličić, Martina Lovrić Benčić, Hrvoje Pintarić, Đeiti Prvulović, Jozica Šikić, Viktor Peršić, Dean Mileta, Kresimir Štambuk, Zdravko Babić, Vjekoslav Tomulic, Josip Lukenda, Stanka Mejic-Krstulovic, Boris Starcevic, Jindrich Spinar, David Horak, Zdenek Velicka, Josef Stasek, David Alan, Vilma Machova, Ales Linhart, Vojtech Novotny, Vladimir Kaucak, Richard Rokyta, Robert Naplava, Zdenek Coufal, Vera 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Irakli Khintibidze, Tamaz Shaburishvili, Zurab Pagava, Ramaz Ghlonti, Zaza Lominadze, George Khabeishvili, Rayyan Hemetsberger, Kemala Edward, Ursula Rauch-Kröhnert, Matthias Stratmann, Karl-Friedrich Appel, Ekkehard Schmidt, Heyder Omran, Christoph Stellbrink, Thomas Dorsel, Emmanouil Lianopoulos, Hans Friedrich Vöhringer, Roger Marx, Andreas Zirlik, Detlev Schellenberg, Thomas Heitzer, Ulrich Laufs, Christian Werner, Nikolaus Marx, Stephan Gielen, Sebastian Nuding, Bernhard Winkelmann, Steffen Behrens, Karsten Sydow, Mahir Karakas, Gregor Simonis, Thomas Muenzel, Nikos Werner, Stefan Leggewie, Dirk Böcker, Rüdiger Braun-Dullaeus, Nicole Toursarkissian, Michael Jeserich, Matthias Weißbrodt, Tim Schaeufele, Joachim Weil, Heinz Völler, Johannes Waltenberger, Mohammed Natour, Susanne Schmitt, Dirk Müller-Wieland, Stephan Steiner, Lothar Heidenreich, Elmar Offers, Uwe Gremmler, Holger Killat, Werner Rieker, Sotiris Patsilinakos, Athanasios Kartalis, Athanassios Manolis, Dimitrios Sionis, 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Valgimigli Marco, Giovanni Licciardello, Carla Auguadro, Filippo Scalise, Claudio Cuccia, Alessandro Salvioni, Giuseppe Musumeci, Michelle Senni, Paolo Calabrò, Salvatore Novo, Pompilio Faggiano, Marco Metra, Nicoletta B De Cesare, Sergio Berti, Claudio Cavallini, Enrico Puccioni, Marcello Galvani, Maurizio Tespili, Piermarco Piatti, Michela Palvarini, Giuseppe De Luca, Roberto Violini, Alessandro De Leo, Zoran Olivari, Pasquale Perrone Filardi, Maurizio Ferratini, Vittorio Racca, Kazuoki Dai, Yuji Shimatani, Haruo Kamiya, Kenji Ando, Yoshihiro Takeda, Yoshihiro Morino, Yoshiki Hata, Kazuo Kimura, Koichi Kishi, Ichiro Michishita, Hiroki Uehara, Toshinori Higashikata, Atsushi Hirayama, Keiji Hirooka, Yasuji Doi, Satoru Sakagami, Shuichi Taguchi, Akihiro Koike, Hiroyuki Fujinaga, Shinji Koba, Ken Kozuma, Tomohiro Kawasaki, Yujiro Ono, Masatoshi Shimizu, Yousuke Katsuda, Atsuyuki Wada, Toshiro Shinke, Takeshi Kimura, Junya Ako, Kenshi Fujii, Toshiyuki Takahashi, Tomohiro Sakamoto, Koichi 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Marcel J J A Bokern, Remco Nijmeijer, Ferry M R J Hersbach, Frank F Willems, Antonius T M Gosselink, Saman Rasoul, John Elliott, Gerard Wilkins, Raewyn Fisher, Douglas Scott, Hamish Hart, Ralph Stewart, Scott Harding, Ian Ternouth, Nicholas Fisher, Samuel Wilson, Denise Aitken, Russell Anscombe, Laura Davidson, Tadeusz Tomala, Ottar Nygård, Jon Arne Sparby, Kjell Andersen, Lars Gullestad, Jarle Jortveit, Peter S Munk, Erlend Gyllensten Singsaas, Ulf Hurtig, Jorge R Calderon Ticona, Julio R Durand Velasquez, Sandra A Negron Miguel, Enrique S Sanabria Perez, Jesus M Carrion Chambilla, Carlos A Chavez Ayala, Reynaldo P Castillo Leon, Rolando J Vargas Gonzales, Jose D Hernandez Zuniga, Luis A Camacho Cosavalente, Jorge E Bravo Mannucci, Javier Heredia Landeo, Nassip C Llerena Navarro, Yudy M Roldan Concha, Víctor E Rodriguez Chavez, Henry A Anchante Hernandez, Carlos A Zea Nunez, Walter Mogrovejo Ramos, Arthur Ferrolino, Rosa Allyn G Sy, Louie Tirador, Rody G Sy, Generoso Matiga, Raul 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Bengus, Constantin Militaru, Doina Rosu, Irinel R Parepa, Adrian V Matei, Tom M Alexandru, Mihaela Malis, Ioan Coman, Rodica Stanescu-Cioranu, Doina Dimulescu, Yury Shvarts, Olga Orlikova, Zhanna Kobalava, Olga L Barbarash, Valentin Markov, Nadezhda Lyamina, Alexander Gordienko, Konstantin Zrazhevsky, Alexander Y Vishnevsky, Victor Gurevich, Raisa Stryuk, Nikita V Lomakin, Igor Bokarev, Tatiana Khlevchuk, Sergey Shalaev, Larisa Khaisheva, Petr Chizhov, Inna Viktorova, Natalya Osokina, Vladimir Shchekotov, Evgenia Akatova, Galina Chumakova, Igor Libov, Mikhail I Voevoda, Tatyana V Tretyakova, Evgeny Baranov, Sergey Shustov, Sergey Yakushin, Ivan Gordeev, Niiaz Khasanov, Olga Reshetko, Tatiana Sotnikova, Olga Molchanova, Konstantin Nikolaev, Liudmila Gapon, Elena Baranova, Zaur Shogenov, Elena Kosmachova, Yuriy Karpov, Anton Povzun, Liudmila Egorova, Vadim V Tyrenko, Igor G Ivanov, Masterov Ilya, Sergey Kanorsky, Dragan Simic, Nikola Ivanovic, Goran Davidovic, Nebojsa Tasic, Milika R 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Sarvan, Joseph H Mynhardt, Helmuth Reuter, Rajendran Moodley, Manuel Vida, Angel R Cequier Fillat, Vicente Bodí Peris, Francisco Fuentes Jimenez, Francisco Marín, Jose M Cruz Fernández, Rafael Jesus Hidalgo Urbano, Blas Gil-Extremera, Pablo Toledo, Fernando Worner Diz, David Garcia-Dorado, Andres Iñiguez, José Tuñón Fernández, Jose R Gonzalez-Juanatey, Javier Fernandez Portales, Fernando Civeira Murillo, Laia Matas Pericas, Jose Luis Zamorano, Manuel De Mora Martin, Jordi Bruguera Cortada, Joaquin J Alonso Martin, Jose Maria Serrano Antolin, José R De Berrazueta Fernández, José Antonio Vázquez de Prada, Jose Francisco Díaz Fernández, José Alberto García Lledó, Juan Cosín Sal

Lipoprotein(a) and Benefit of PCSK9 Inhibition in Patients With Nominally Controlled LDL Cholesterol

International audienceBackground: Guidelines recommend nonstatin lipid-lowering agents in patients at very high risk for major adverse cardiovascular events (MACE) if low-density lipoprotein cholesterol (LDL-C) remains ≥70 mg/dL on maximum tolerated statin treatment. It is uncertain if this approach benefits patients with LDL-C near 70 mg/dL. Lipoprotein(a) levels may influence residual risk.Objectives: In a post hoc analysis of the ODYSSEY Outcomes (Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab) trial, the authors evaluated the benefit of adding the proprotein subtilisin/kexin type 9 inhibitor alirocumab to optimized statin treatment in patients with LDL-C levels near 70 mg/dL. Effects were evaluated according to concurrent lipoprotein(a) levels.Methods: ODYSSEY Outcomes compared alirocumab with placebo in 18,924 patients with recent acute coronary syndromes receiving optimized statin treatment. In 4,351 patients (23.0%), screening or randomization LDL-C was 13.7 mg/dL or ≤13.7 mg/dL; corresponding adjusted treatment hazard ratios were 0.82 (95% CI: 0.72-0.92) and 0.89 (95% CI: 0.75-1.06), with Pinteraction = 0.43.Conclusions: In patients with recent acute coronary syndromes and LDL-C near 70 mg/dL on optimized statin therapy, proprotein subtilisin/kexin type 9 inhibition provides incremental clinical benefit only when lipoprotein(a) concentration is at least mildly elevated. (ODYSSEY Outcomes: Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab; NCT01663402)