Research Article

Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach

Table 1

Recent studies on digoxin dosage prediction.

StudySample sizeStudy populationYMethodDemographic data (gender,age, TBW)SCrALT/ASTBUNALBK+DoseSDCCHFDDINum. of variables

Albert et al. [8]125SpainToxicity(1) logistic regression (2) neural networksVVVVVVV(5)7
Bauman et al. [2]54Caucasians (America)SDCMultiple linear regressionVVVVV(4)5
Chen et al. [18]142ChinaCLNONMEMVVVVVVVV(4)8
Jiratham-Opas et al. [19]114ThailandSDCKonishi equationVVVVVV(9)6
Kockova et al. [20]222Czech RepublicToxicity(1) Fisher’s exact test (2) logistic regressionVVVVVV(6)6
Komatsu et al. [21]192JapaneseSDCNONMEMVVVVVV(11)6
Konishi et al. [22]235JapaneseSDCHyperbolic regression modelVVVVV5
Kroese et al. [23]45Caucasians (UK)SDCPharmDISVVVV(3)4
Martín et al. [24]257SpainToxicityNeural networksVVVV(1)4
Martin-Suarez et al. [25]63SpainDoseLinear regressionVVVVV5
Martin-Suarez et al. [26]8SpainDoseNONMEMVVVV4
Muzzarelli et al. [27]40SwitzerlandDoseKonishi equationVVVVV(8)5
Petcharattana [28]130ThailandSDCNONMEMVVVVVV(6)6
Suematsu et al. [29]172JapaneseCLNONMEMVVVVVV(1)6
Suematsu et al. [30]181JapaneseCLLeast-squares analysisVVVVVV(1)6
Yukawa et al. [31]94JapaneseDoseNONMEMVVVVVV(1)6
Yukawa et al. [32]117JapaneseCLNONMEMVVVVV5
Yukawa et al. [33]71JapaneseSDCNONMEMVVVV4
Yukawa et al. [34]106JapaneseCLNONMEMVVVVV(2)5
Yukawa et al. [35]385JapaneseCLNONMEMVVVVVV(1)6
Zhou et al. [36]119ChinaSDCNONMEMVVVVVVVVV(4)9
Our study307TaiwanDose adequacyMachine learning methodsVVVVVVVVVV(26)10

ALB, albumin; ALT/AST, alanine aminotransferase/aspartate aminotransferase; BUN, blood urea nitrogen; CHF, congestive heart failure; CL, the clearance of digoxin; DDIs, drug-drug interactions; Dose, digoxin daily dose; K+, serum potassium; SCr, serum creatinine; SDC, serum digoxin concentration. The number in the parentheses represents the number of DDI drugs considered in the study.