Abstract： To the Editor:In China,the pathological types such as mild lesion nephrosis (MLN),focal segmental glomerulosclerosis (FSGS),membranous nephropathy (MN),and IgA nephropathy (IgAN) are presented as common types in patients with chronic kidney disease (CKD).[1] For identifying the special CKD pathological types,ultrasound-guided percutaneous renal biopsy is an important diagnostic tool for nephrologists.Clinically,the postbiopsy complications,such as gross hematuria caused by renal hemorrhage,low back pain or abdominal pain caused by perirenal hematoma,or mild fever,will occur in some patients.Further,some CKD patients are unfeasible to perform renal biopsy due to clinical contraindications.Here,a systematic method to evaluate or predict CKD pathological types by the statistical probabilities of clinical indices is proposed.The method is based on frequency differences regarding basic properties,clinical characteristics,and laboratory results of CKD patients.This study aimed to establish an alternative method for identifying CKD pathological types from a nontraumatic statistical perspective.