BACKGROUND:　Oral　glucose　tolerance　test　(OGTT)　is　a　standard　for　the　diagnosis　of　gestational　diabetes　mellitus　(GDM).　However,　clinically,　some　cases　with　normal　results　were　diagnosed　as　GDM　in　the　third　trimester.　OBJECTIVE:　To　establish　a　risk　model　based　on　energy　metabolism,　epidemiology,　and　biochemistry　that　could　predict　the　GDM　pregnant　women　with　normal　OGTT　results　in　the　second　trimester.　METHODS:　Qualitative　and　quantitative　data　were　analyzed　to　find　out　the　risk　factors,　and　the　binary　logistic　backward　LR　regression　was　used　to　establish　the　prediction　model　of　each　factor　and　comprehensive　factor,　respectively.　RESULTS:　The　risk　factors　including　the　rest　energy　expenditure　per　kilogram　of　body　weight,　oxygen　consumption　per　kilogram　of　body　weight,　if　more　than　the　weight　gain　criteria　of　the　Institute　of　Medicine,　the　increase　of　body　mass　index　between　the　second　trimester　and　pre-pregnancy,　and　fasting　blood　glucose.　By　comparison,　the　comprehensive　model　had　the　best　prediction　performance,　indicating　that　85%　of　high-risk　individuals　were　correctly　classified.　CONCLUSION:　Energy　metabolism,　epidemiology,　and　biochemistry　had　better　recognition　ability　for　the　GDM　pregnant　women　with　normal　OGTT　results　in　the　second　trimester.　The　addition　of　metabolic　factors　in　the　second　trimester　also　improved　the　overall　prediction　performance.