Why the study?
The precise dose of digoxin is often difficult to determine, prompting investigation into how blood biochemical indexes affect its serum concentration.
Can blood biochemical indexes accurately predict the serum concentration of digoxin in hospitalized patients?
Can blood biochemical indexes accurately predict the serum concentration of digoxin in hospitalized patients?
A regression model incorporating nine blood biochemical indexes can accurately predict serum digoxin concentrations, potentially aiding in individualized dosing.
May support individualized digoxin dosing; leaves open prospective validation before clinical adoption.
Aim: The dose of digoxin is often difficult to be determined precisely. The aim of this study was to retrospectively investigate the effect of blood biochemical indexes on the serum concentration of digoxin. Materials & methods: We collected the data of hospitalized patients treated orally with digoxin in Nanjing Drum Tower Hospital (Nanjing, China) from 2016 to 2018. Descriptive statistics was used to analyze the patients’ comprehensive condition. Results: A total of 425 patients were included in the study. Through analysis, nine factors were included in the regression model of the serum concentration of digoxin, and this regression model showed good predictive performance (r2 = 0.83138; p < 0.001). Conclusion: The regression model for the prediction of serum concentration of digoxin has clinical significance, and can provide research basis for individualized medication of digoxin.
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Shen et al. (2019) studied this question.
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