International Journal of Clinical Practice / 2022 / Article / Tab 1 / Research Article
Clinical and Imaging Data-Based Model for Predicting Reversible Posterior Leukoencephalopathy Syndrome (RPLS) in Pregnant Women With Severe Preeclampsia or Eclampsia and Analysis of Perinatal Outcomes Table 1 General data of pregnant women in the two groups [n (%)] (general clinical data model).
Category RPLS group Non-RPLS group Univariate analysis Multivariate analysis (n = 33)(n = 45)X 2 /t Hazard ratio Age (years) 32.64 ± 9.41 33.83 ± 9.51 0.551 0.584 Gestational week of delivery (weeks) 33.51 ± 3.12 33.69 ± 3.21 0.269 0.788 Abortion history 21 30 0.077 0.781 Primipara 16 26 0.661 0.416 Assisted reproduction 11 16 0.041 0.838 Prepregnancy BMI ≥30 kg/m2 24 27 1.362 0.243 Multiple pregnancies 3 5 0.0844 0.771 Diabetes history 5 7 0.0023 0.961 Immune disorders 2 4 0.2144 0.643 Poor placental perfusion 30 29 2.788 0.007 0.031 3.503 (1.121–10.948) History of eclampsia 6 9 0.04 0.84 Hypertensive emergency 23 13 3.855 0.001 7.248 (2.306–22.784) ≥2 antihypertensive drugs 22 11 4.061 History of hypertension 20 26 0.062 0.801 HELLP syndrome 3 1 0.704 0.401 Smoking or drinking history 6 10 0.19 0.662 Headache 24 13 4.197 0.009 4.464 (1.460–13.654) Blurred vision 20 18 3.235 0.072 Convulsions 8 5 1.541 0.127 Mental or consciousness disorders 14 11 2.826 0.092 Severe preeclampsia/eclampsia 16 23 0.0525 0.8187