ALB and calcification: To pick out the most predictable variables for model construction, we collected clinical characteristics between calcification and non-calcification groups (Table 1) and employed the Lasso regression to filter the candidate variables, including miR-129–3p and clinical variables such as age, sex, smoking history, BMI, hypertension, dialysis duration, sKt/v, SCr, hemoglobin, albumin, cholesterol, potassium, phosphate, corrected serum calcium, iPTH, vitamin D, and ALP.