The CHRS model uses input variables (blue circle) to calculate the risk of developing any myeloid malignancy and predict overall survival. Inputting the variables from my patient indicated a high-risk assignment. The MN-predict model uses similar input variables as the CHRS model, although several additional clinical and laboratory variables are included (green circle). Unlike the CHRS model, the MN-predict model provides risks for specific categories of myeloid malignancy. For my patient, the model indicated a high-risk of developing MDS or CMML, with lower risks of developing MPN or AML. Abbreviations: variant allele fraction (VAF); mean corpuscular volume (MCV); red cell distribution width (RDW); hemoglobin; PLT, platelet count (HGB); absolute neutrophil count (ANC); reticulocytes (Retic); mean platelet volume (MPV); platelet distribution width (PDW); body mass index (BMI).