Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.
EuroSCORE II reflects a better current surgical performance and offers a new quality standard to evaluate local outcomes. EuroSCORE showed an overall good discriminative capacity and calibration in this local population; nevertheless, the model performed optimally in non-CABG surgery and in highest-risk patients, underestimating in-hospital mortality in lowest-risk cases. The latter finding may be interpreted as an inadequate behaviour of the model, as a poor performance of surgeons or both. Larger prospective studies will elucidate this hypothesis.
OT extubation in the elderly can be safely performed in nearly 50% of patients, without apparently worsening their outcomes. A key point of this success was the use of a short-acting volatile agent to maintain anaesthesia throughout the procedure. Low- or moderate-risk cardiac surgery assessed with a preoperative EuroSCORE II <2.11 will help to better predict successful OT extubation in the elderly.
Modified Poincaré plots with smoothed lines connecting successive points could accurately classify different types of arrhythmias based on short RR interval sequence variability. Characteristic emergent patterns can be visually identified and eventually could be distinguished by an automatic classification system able to discern between arrhythmias. This work provides an alternative method to interpret time-delay plots obtained from short-term EKG signal recordings.
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