В целях улучшения прогноза замедлен

В целях улучшения прогноза замедленной консолидации у больных при повреждении костной ткани нами были разработаны критерии прогнозирования. Они основываются на установленных закономерностях изменения иммунологических показателей и использовании теории Байеса. В частности, до операции при значении Ig M выше 2,4 г/л (нормальная консолидация — 0,9 — 2,3 г/л) с вероятностью 87,3% можно прогнозировать замедленную консолидацию. Диагностическая чувствительность данного теста составляет 85,4%, диагностическая специфичность — 94,6%.

Результаты (английский) 1:

In order to improve the prediction of slow consolidation in patients with damaged bone tissue we have developed criteria for prediction. They are based on established patterns of change and use of immunological parameters Bayesian theory. In particular, prior to surgery when meanings Ig M above 2.4 g/l (normal consolidation — 0.9-2.3 g/l) with a probability of 87.3% one can predict delayed consolidation. The diagnostic sensitivity of the test is 85.4% diagnostic specificity 94.6%.

Результаты (английский) 2:

In order to improve prognosis in patients with delayed consolidation is damaged bone we have developed criteria for prediction. They are based on the established laws of the changes of immunological parameters and the use of Bayes' theorem. In particular, before operation at the value Ig M above 2.4 g / l (normal consolidation - 0.9 - 2.3 g / l) with a probability of 87.3% can predict delayed consolidation. The diagnostic sensitivity of the test was 85.4%, the diagnostic specificity - 94.6%.

Результаты (английский) 3:

in order to improve the prognosis of patients with delayed consolidation damage bone tissue we have developed criteria for the prediction.they are based on the established behaviour changes of immunological indicators and the use of bayesian theory. in particular, to the operation of the ig m above 2.4 g / l (normal consolidation - 0.9 - 23 g / l) with probability 87,3% can predict замедленную consolidation. diagnostic sensitivity of this test is 85.4%, the diagnostic specificity is 94.6%.