There is a need for a study of the complex diseases due to their important impact on our society. One of the solutions involves the theoretical methods which are fast and efficient tools that can lead to the discovery of new active drugs specially designed for these diseases. The Quantitative Structure - Activity Relationship models (QSAR) and the complex network theory become important solutions for screening and designing efficient pharmaceuticals by coding the chemical information of the molecules into molecular descriptors. This review presents the most recent studies on drug discovery and design using QSAR of several complex diseases in the fields of Neurology, Cardiology and Oncology.

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Introduction and objectives. Our aim was to assess the prognostic value of the INTERMACS (Interagency Registry for Mechanically Assisted Circulatory Support) scale in patients undergoing urgent heart transplantation (HT). Methods. Retrospective analysis of 111 patients treated with urgent HT at our institution from April, 1991 to October, 2009. Patients were retrospectively assigned to three levels of the INTERMACS scale according to their clinical status before HT. Results. Patients at the INTERMACS 1 level (n = 31) more frequently had ischemic heart disease (p = 0.03) and postcardiothomy shock (p = 0.02) than patients at the INTERMACS 2 (n = 55) and INTERMACS 3-4 (n = 25) levels. Patients at the INTERMACS 1 level showed higher preoperative catecolamin doses (p = 0.001), a higher frequency of use of mechanical ventilation (p < 0.001), intraaortic balloon (p = 0.002) and ventricular assist devices (p = 0.002), and a higher frequency of preoperative infection (p = 0.015). The INTERMACS 1 group also presented higher central venous pressure (p = 0.02), AST (p = 0.002), ALT (p = 0.006) and serum creatinine (p < 0.001), and lower hemoglobin (p = 0.008) and creatinine clearance (p = 0.001). After HT, patients at the INTERMACS 1 level had a higher incidence of primary graft failure (p = 0.03) and postoperative need for renal replacement therapy (p = 0.004), and their long-term survival was lower than patients at the INTERMACS 2 (log rank 5.1, p = 0.023; HR 3.1, IC 95% 1.1-8.8) and INTERMACS 3-4 level (log rank 6.1, p = 0.013; HR 6.8, IC 95% 1.2-39.1). Conclusions. Our results suggest that the INTERMACS scale may be a useful tool to stratify postoperative prognosis after urgent HT. ResumenIntroducción y objetivos. Analizar el valor pronóstico de la escala INTERMACS (Interagency Registry for Mechanically Assisted Circulatory Support) en pacientes tratados con trasplante cardiaco urgente. Métodos. Análisis retrospectivo de 111 pacientes tratados con trasplante cardiaco urgente en nuestro centro entre abril de 1991 y octubre de 2009. Se asignó retrospectivamente a los pacientes a tres niveles de la escala INTERMACS en función de su situación clínica previa al trasplante cardiaco. Resultados. Los pacientes del grupo INTERMACS 1 (n = 31) presentaban mayor frecuencia de cardiopatía isquémica (p = 0,03) y shock tras cardiotomía (p = 0,02) que los pacientes del grupo INTERMACS 2 (n = 55) y los pacientes del grupo INTERMACS 3-4 (n = 25), así como mayores dosis de catecolaminas (p = 0,001), mayor empleo de ventilación mecánica (p < 0,001), balón de contrapulsación (p = 0,002) y dispositivos de asistencia ventricular (p = 0,002) y mayores tasas de infección preoperatoria (p = 0,015). El grupo INTERMACS 1 también mostraba mayores cifras de presión venosa central (p = 0,02), GOT (p = 0,002), GPT (p = 0,006) y creatinina (p < 0,001) y menores cifras de hemoglobina (p = 0,008) y aclaramiento de creatinina (p = 0,001). Tras el trasplante cardiaco, los pacientes del grupo INTERMACS 1 presentaron mayores incidencias de fracaso primario d...

Prevalence, etiology, and outcome of catheterization laboratory false alarms in patients with suspected ST-elevation myocardial infarction Prevalencia, causas y pronóstico de las «falsas alarmas» al laboratorio de hemodinámica en pacientes con sospecha de infarto de miocardio con elevación del segmento ST

This intervention is feasible but, when applied indiscriminately to every discharged heart failure patient, the best that can be expected is only a modest reduction in readmission and death rates, which, in this study in particular, did not achieve statistical significance.