BACKGROUND:　The　prediction　of　hypertensive　disorders　in　pregnancy　(HDP)　mainly　involves　various　aspects　such　as　maternal　characteristics　and　biomarkers.　OBJECTIVE:　We　aimed　to　study　the　effect　of　the　HDP　prediction　model　with　or　without　placental　growth　factor　(PlGF).　METHODS:　This　study　used　maternal　factors　and　PlGF,　and　standardized　the　data　uniformly.　At　12-20　weeks,　the　comprehensive　comparison　of　model　quality　with　or　without　PlGF　was　conducted　by　logistic　regression.　RESULTS:　The　area　under　curve　and　the　model　accuracy　of　the　model　with　PlGF　were　higher　than　those　of　the　model　without　PlGF.　The　accuracy　of　the　model　with　PlGF　was　above　90%.　CONCLUSIONS:　Adding　PlGF　to　the　model　for　predicting　HDP　improved　the　accuracy　and　effectiveness　of　the　model.　This　study　confirmed　the　predictive　performance　of　PlGF.