Comparison of gentamicin dose estimates derived from manual calculations, the Australian 'Therapeutic Guidelines: Antibiotic' nomogram and the SeBA-GEN and DoseCalc software programs

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Abstract

Aim: To compare gentamicin dose estimates from four predictive methods. Methods: A retrospective study was conducted, comprising patients at Fremantle Hospital who received gentamicin therapy and had at least one gentamicin serum concentration reported. A manual calculation method, the Australian 'Therapeutic Guidelines: Antibiotic' (TGA) nomogram and the SeBA-GEN and DoseCalc software packages were compared. SeBA-GEN dose estimates were regarded as the reference standard. Results: There were 64 males and 30 females with mean age of 58 ± 16 years. In patients with moderate renal impairment (CLCr = 30-60 ml min-1; n = 21), mean dose estimates using DoseCalc and the manual calculation method were comparable to SeBA-GEN but the mean TGA nomogram dose (230 mg; 95% confidence interval 179, 281) was significantly lower than SeBA-GEN (286 mg; 261, 311; P = 0.002; one-way RM ANOVA). In patients with mild renal impairment (CLCr = 60-90 ml min-1; n = 48), DoseCalc (392 mg; 367, 427) was comparable to SeBA-GEN (377 mg; 362, 392). Although the manual method (341 mg; 306, 376; P = 0.007) and the TGA nomogram (335 mg; 302, 368; P < 0.001) estimates were significantly lower than SeBA-GEN, the practical difference was modest. Conclusions: SeBA-GEN and DoseCalc are generally comparable for estimation of gentamicin doses in patients with renal impairment. The 'Therapeutic Guidelines: Antibiotic' nomogram is a valid approach to dosage estimation, but only when used in patients with normal renal function. Simple manual calculations are a suitable alternative in patients with renal impairment.

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APA

Mohan, M., Batty, K. T., Cooper, J. A., Wojnar-Horton, R. E., & Ilett, K. F. (2004). Comparison of gentamicin dose estimates derived from manual calculations, the Australian “Therapeutic Guidelines: Antibiotic” nomogram and the SeBA-GEN and DoseCalc software programs. British Journal of Clinical Pharmacology, 58(5), 521–527. https://doi.org/10.1111/j.1365-2125.2004.02201.x

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