Математическая теория вероятностей уже со времен Лапласа, Гаусса и Пуассона пользуется сложным математическим аппаратом. Тем не менее, книги по теории вероятностей, рассчитанные на массового читателя, обычно начинаются с утверждения, что принципиальные вопросы применения теории вероятностей вполне доступны пониманию неспециалиста.
В брошюре, рассчитанной на широкий круг читателей, освещены основные понятия теории вероятностей и рассказано о постановке задач ее в прошлом и в настоящем.
Purpose. To investigate the eff ects of various statin kinds and doses on long-term mortality in patients with coronary artery disease (CAD) who were taking statins.
Materials and methods. 10,000 CAD patients were the subject of a retrospective cohort study during a ten- year period. There were identifi ed 7,000 statin users and 3,000 nonusers. All-cause mortality was the major result. Taking into account possible confounders, hazard ratios (HRs) for death were estimated using multivariable Cox proportional hazards models.
Results. When compared to non-users, statin users had a considerably reduced 10-year mortality rate (22 percent vs 35 percent; p<0.001). Atorvastatin and Rosuvastatin were related with the lowest mortality rates (HR: 0.63, 95 percent CI: 0.55–0.72; p<0.001 and HR: 0.65, 95 percent CI: 0.58–0.74; p<0.001, respectively). Diff erent kinds of statins had varied eff ects. When compared to low-dose treatment, high and moderate doses of statin medication demonstrated reduced mortality (HR: 0.60, 95 percent CI: 0.52–0.69; p<0.001 and HR: 0.70, 95 percent CI: 0.62–0.79; p<0.001, respectively).
Conclusion. According to statin type and dose, statin medication considerably lowers long-term mortality in CAD patients. These results highlight the value of individualised statin medication in achieving the best CAD control.