Establishing a prediction system for preeclampsia and eclampsia patients

Abstract

Objective To establish a prediction system for preeclampsia and eclampsia patients according to pregnancy physiological and pathological changes. Methods A retrospective study was conducted in 437 preeclampsia and eclampsia patients, who were admitted to the intensive care unit of the Third Affiliated Hospital of Guangzhou Medical University from October 1999 to March 2007. Then we analyzed the relationship between scores and the maternal organ dysfunction, and established the prediction scoring system for preeclampsia and eclampsia. The data were analyzed by using Chi-square test and the mortality prediction equation by using logistic regression model. Results The prediction system involved 20 clinical indexes, including body temperature, pressure, respiratory rate, heart rate, arterial partial pressure of oxygen, PaO2/FiO2, arterial pH value, serum sodium, serum potassium, serum creatinine, ALT, blood platelets count, serum total bilirubin, serum albumin, fibrinogen, white blood count, hematocrit, blood uric acid, age and scores of nervous system. The number of organ dysfunction was increaring with the scores up. The prediction equation for the mortality risk was log eY/(1-Y)=-6.56+ 0.927×scores of nervous system+ 0.149×(total scores-scores of nervous system). Conclusion Establishing a prediction system for the preeclampsia and eclampsia patients can evaluate the illness severity better. Key words: Pre-eclampsia; Severity of illness index; Forecasting; Evaluating severity