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Table 1 Input variables used in analyses

From: Predicting dry weight change in Hemodialysis patients using machine learning

category

items

Demographic and anthropometric data

Age, gender, race, height, date of introduction of dialysis, name of primary disease

Laboratory test results

Pre- and post-dialysis WBC, RBC, Hb, Ht, Plt, Ret, TP, Alb, ALP, ChE, BUN, Cre, Na, K, Cl, Ca, IP, intact PTH, Fe, UIBC, FER, BNP, CRP

Prescription data

Drug name, dosage, number of days prescribed, and start date

Medical record entries that include the following keywords

Pulmonary congestion, pleural effusion, oxygen administration, edema, hypotension

Dialysis record

Membrane area of dialyzer, blood flow rate, injected drugs during dialysis, cardiothoracic ratio, median values of vital signs (blood pressure, pulse rate, body temperature), intradialytic hypotension

  1. WBC, white blood cell; RBC, red blood cell; Hb, hemoglobin; Ht, hematocrit; Plt, platelet; Ret, reticulocyte; TP, total protein; Alb, albumin; ALP, alkaline phosphatase; ChE, cholinesterase; BUN, blood urea nitrogen; Cre, creatinine; Na, sodium; K, potassium; Cl, chlorine; Ca, calcium; IP, inorganic phosphorus; PTH, parathyroid hormone; Fe, iron; UIBC, unsaturated iron binding capacity; FER, ferritin; BNP, brain natriuretic peptide; CRP, C-reactive protein