Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes.
Morgan E GramsNigel J BrunskillShoshana H BallewYingying SangJosef CoreshKunihiro MatsushitaAditya SurapaneniSamira BellJuan Jesús CarreroGabriel ChodickMarie EvansHiddo J Lambers HeerspinkLesley A InkerKunitoshi IsekiPhilip A KalraH Lester KirchnerBrian J LeeAdeera LevinRupert W MajorJames MedcalfGirish Nitin NadkarniDavid M J NaimarkAna C RicardoSimon SawhneyManish M SoodNatalie StaplinNikita StempniewiczBenedicte StengelKeiichi SumidaJamie P TraynorJan van den BrandChi-Pang WenMark WoodwardJae Won YangAngela Yee-Moon WangNavdeep Tangrinull nullJohn ChalmersChi-Yuan HsuAna C RicardoAmanda AndersonPanduranga RaoHarold FeldmanAlex R ChangKevin HoJamie GreenH Lester KirchnerSamira BellMoneeza SiddiquiColin PalmerVarda ShalevGabriel ChodickBenedicte StengelMarie MetzgerMartin FlamantPascal HouillierJean-Philippe HaymannJohn CuddebackElizabeth CieminsCsaba P KovesdyKeiichi SumidaMarco TrevisanCarl Gustaf ElinderBjörn WettermarkPhilip KalraRajkumar ChinnaduraiJames TollittDarren GreenJosef CoreshShoshana H BallewAlex R ChangRon T GansevoortOrlando GutierrezTsuneo KontaAnna KöttgenAndrew S LeveyKevan PolkinghorneElke SchäffnerLuxia ZhangShoshana H BallewJingsha ChenJosef CoreshYingying SangAditya SurapaneniPublished in: Diabetes care (2022)
Novel prediction equations for a decline of ≥40% in eGFR can be applied successfully for use in the general population in persons with and without diabetes with higher or lower eGFR.