Mortalidade por insuficiência cardíaca: análise ampliada e tendência temporal em três estados do Brasil

FUNDAMENTO: A insuficiência cardíaca (IC) é uma doença crônica de grande prevalência e altas taxas de mortalidade. A mortalidade por IC, no Brasil, tem sido estudada mais frequentemente com dados de internações hospitalares. OBJETIVO: Avaliar as taxas de mortalidade por IC, por sexo e faixa etária, no conjunto dos estados do Rio de Janeiro, São Paulo e Rio Grande do Sul, de 1999 a 2005. MÉTODOS: As informações foram obtidas dos atestados de óbito examinados nos três estados. A mortalidade por IC foi avaliada em modo restrito (causa básica de morte), modo abrangente (presente em qualquer linha do atestado) e modo ampliado (todos os códigos com presença de IC). RESULTADOS: As taxas específicas de mortalidade apresentaram tendências de quedas nítidas nos grupos de idade, exceto nos de 80 anos ou mais. As taxas aumentaram com a idade, sendo maiores nos homens, de forma clara, até os 80 anos. As taxas de mortalidade por IC foram três vezes maiores no modo abrangente do que no modo restrito. O modo ampliado acrescentou ainda 20% de óbitos em que havia IC. CONCLUSÃO: Os resultados deste estudo demonstram tendências de quedas nas taxas de mortalidade por IC no conjunto dos três estados - cerca de 43% do Brasil -, de 1999 a 2005. A metodologia de causas múltiplas de morte, além das básicas, permite apresentar dimensão mais abrangente da importância da IC como causa de óbito. A seleção adequada dos códigos da Classificação Internacional de Doenças (CID), que compreendem a totalidade do fenômeno de IC, permanece como desafio para futuros estudos.

Defining habitat characteristics influencing the distribution, density and growth of Plaice (Pleuronectes Platessa) and Dab (Limanda Limanda) on west of Ireland nursery grounds

Plaice (Pleuronectes platessa, L.) and dab (Limanda limanda, L.) are among the most abundant flatfishes in the north-eastern Atlantic region and the dominant species in shallow coastal nursery grounds. With increasing pressures on commercial flatfish stocks in combination with changing coastal environments, better knowledge of population dynamics during all life stages is needed to evaluate variability in year-class strength and recruitment to the fishery. The aim of this research was to investigate the complex interplay of biotic and abiotic habitat components influencing the distribution, density and growth of plaice and dab during the vulnerable juvenile life stage and to gain insight in spatial and temporal differences in nursery habitat quality along the west coast of Ireland. Intraspecific variability in plaice diet was observed at different spatial scales and showed a link with condition, recent growth and morphology. This highlights the effect of food availability on habitat quality and the need to consider small scale variation when attempting to link habitat quality to feeding, growth and condition of juvenile flatfish. There was evidence of trophic, spatial and temporal resource partitioning between juvenile plaice and dab allowing the co-existence of morphologically similar species in nursery grounds. In the limited survey years there was no evidence that the carrying capacity of the studied nursery grounds was reached but spatial and interannual variations in fish growth indicated fluctuating environments in terms of food availability, predator densities, sediment features and physico-chemical conditions. Predation was the most important factor affecting habitat quality for juvenile plaice and dab with crab densities negatively correlated to fish condition whereas shrimp densities were negatively associated with densities of small-sized juveniles in spring. A comparison of proxies for fish growth showed the advantage of Fulton’s K for routine use whereas RNA:DNA ratios proved less powerful when short-term environmental fluctuations are lacking. This study illustrated how distinct sets of habitat features can drive spatial variation in density and condition of juvenile flatfish highlighting the value of studying both variables when modeling habitat requirements. The habitat models generated in this study also provide a powerful tool to predict potential climate and anthropogenic impacts on the distribution and condition of juveniles in flatfish nurseries. The need for effective coastal zone management was emphasized to ensure a sustainable use of coastal resources and successful flatfish recruitment to the fishery.

On the role of temporal context in human reinforcement learning

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011

Data mining with graphical models

Data Mining, Learning from data, graphical models, possibility theory

Data-driven system identification via evolutionary retrieval of Takagi-Sugeno fuzzy models

Systemidentification, evolutionary automatic, data-driven model, fuzzy Takagi-Sugeno grammar, genotype interpretability, toxicity-prediction

Models and methods for supporting lot sizing decisions in product recovery systems

Magdeburg, Univ., Fak. für Wirtschaftswiss., Diss., 2011

Variação Temporal no Prognóstico e Tratamento da Insuficiência Cardíaca Avançada - Antes e Após 2000

Fundamento: O tratamento da insuficiência cardíaca evoluiu nas últimas décadas, sugerindo que sua sobrevida tem aumentado. Objetivo: Verificar se houve melhora na sobrevida dos pacientes com insuficiência cardíaca avançada. Métodos: Comparamos retrospectivamente os dados de seguimento e tratamento de duas coortes de pacientes com insuficiência cardíaca sistólica admitidos para compensação até o ano 2000 (n = 353) e após 2000 (n = 279). Foram analisados: morte hospitalar, re-hospitalizações e morte no seguimento de 1 ano. Utilizamos os testes U de Mann-Whitney e qui-quadrado para comparação entre os grupos. Os preditores de mortalidade foram identificados pela análise de regressão por meio do método dos riscos proporcionais de Cox e análise de sobrevida pelo método de Kaplan-Meier. Resultados: Os pacientes internados até o ano 2000 eram mais jovens, tinham menor comprometimento ventricular esquerdo e receberam menor proporção de betabloqueadores na alta. A sobrevida dos pacientes hospitalizados antes de 2000 foi menor do que a dos hospitalizados após 2000 (40,1% vs. 67,4%; p < 0,001). Os preditores independentes de mortalidade na análise de regressão foram: a etiologia chagásica (hazard ratio: 1,9; intervalo de confiança de 95%: 1,3-3,0), inibidores da enzima conversora da angiotensina (hazard ratio: 0,6; intervalo de confiança de 95%: 0,4-0,9), betabloqueador (hazard ratio: 0,3; intervalo de confiança de 95%: 0,2-0,5), creatinina ≥ 1,4 mg/dL (hazard ratio: 2,0; intervalo de confiança de 95%: 1,3-3,0), sódio sérico ≤ 135 mEq/L (hazard ratio: 1,8; intervalo de confiança de 95%: 1,2-2,7). Conclusões: Pacientes com insuficiência cardíaca avançada apresentaram melhora significativa na sobrevida e redução nas re-hospitalizações. O bloqueio neuro-hormonal, com inibidores da enzima conversora da angiotensina e betabloqueadores, teve papel importante no aumento da sobrevida desses pacientes com insuficiência cardíaca avançada.

Approximations of the Fisher information for the construction of efficient experimental designs in nonlinear mixed effects models

Magdeburg, Univ., Fak. für Mathematik, Diss., 2012

Experimental design for mixed models with application to population pharmacokinetic studies

experimental design, mixed model, random coefficient regression model, population pharmacokinetics, approximate design

Modeling and simulation of population balances for particulate processes

This work focuses on the modeling and numerical approximations of population balance equations (PBEs) for the simulation of different phenomena occurring in process engineering. The population balance equation (PBE) is considered to be a statement of continuity. It tracks the change in particle size distribution as particles are born, die, grow or leave a given control volume. In the population balance models the one independent variable represents the time, the other(s) are property coordinate(s), e.g., the particle volume (size) in the present case. They typically describe the temporal evolution of the number density functions and have been used to model various processes such as granulation, crystallization, polymerization, emulsion and cell dynamics. The semi-discrete high resolution schemes are proposed for solving PBEs modeling one and two-dimensional batch crystallization models. The schemes are discrete in property coordinates but continuous in time. The resulting ordinary differential equations can be solved by any standard ODE solver. To improve the numerical accuracy of the schemes a moving mesh technique is introduced in both one and two-dimensional cases ...

Development and Validation of Predictive Models of Cardiac Mortality and Transplantation in Resynchronization Therapy

AbstractBackground:30-40% of cardiac resynchronization therapy cases do not achieve favorable outcomes.Objective:This study aimed to develop predictive models for the combined endpoint of cardiac death and transplantation (Tx) at different stages of cardiac resynchronization therapy (CRT).Methods:Prospective observational study of 116 patients aged 64.8 ± 11.1 years, 68.1% of whom had functional class (FC) III and 31.9% had ambulatory class IV. Clinical, electrocardiographic and echocardiographic variables were assessed by using Cox regression and Kaplan-Meier curves.Results:The cardiac mortality/Tx rate was 16.3% during the follow-up period of 34.0 ± 17.9 months. Prior to implantation, right ventricular dysfunction (RVD), ejection fraction < 25% and use of high doses of diuretics (HDD) increased the risk of cardiac death and Tx by 3.9-, 4.8-, and 5.9-fold, respectively. In the first year after CRT, RVD, HDD and hospitalization due to congestive heart failure increased the risk of death at hazard ratios of 3.5, 5.3, and 12.5, respectively. In the second year after CRT, RVD and FC III/IV were significant risk factors of mortality in the multivariate Cox model. The accuracy rates of the models were 84.6% at preimplantation, 93% in the first year after CRT, and 90.5% in the second year after CRT. The models were validated by bootstrapping.Conclusion:We developed predictive models of cardiac death and Tx at different stages of CRT based on the analysis of simple and easily obtainable clinical and echocardiographic variables. The models showed good accuracy and adjustment, were validated internally, and are useful in the selection, monitoring and counseling of patients indicated for CRT.

Spatio-temporal dynamics of glycolysis in an open spatial reactor

Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2008

Optimal designs for mixed effects poisson regression models

Magdeburg, Univ., Fak. für Mathematik, Diss., 2010

Simulation of interacting populations in inhomogeneous flows using reduced models

Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2010

Conversive Hidden non-Markovian models

Magdeburg, Univ., Fak. für Informatik, Diss., 2012