Abstract
Amiodarone and furosemide are frequently administered together in the intensive care unit, and their co-administration poses a risk of precipitation and catheter occlusion due to incompatibility. Thus, compatibility should be evaluated under clinically relevant conditions to ensure safe drug administration. This study investigated the impact of different mixing procedures on the physical compatibility of amiodarone and furosemide by employing two clinically relevant approaches: simulated mixing (SM) and route mixing (RM). Mixtures were prepared at therapeutic concentrations and evaluated by visual inspection, absorbance measurement, powder X-ray diffraction (PXRD), pH analysis, and particle size assessment. Although the drug ratios were identical, the RM samples displayed greater turbidity than the SM samples. The PXRD analysis showed no formation of new crystalline substances, and the precipitates consisted of known furosemide and amiodarone hydrochloride polymorphs. The pH shifted toward the alkaline range as the injection volume increased with furosemide dose. Importantly, differences in particle growth behavior were noted between SM and RM, with larger particles observed in the RM samples. In conclusion, mixing route significantly affects drug compatibility, with RM presenting a higher risk of precipitation. Assessing drug compatibility under clinically relevant conditions may help prevent catheter-related complications and improve the safety of intravenous pharmacotherapy.
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Introduction
Critically ill patients admitted to the intensive care unit (ICU) often require treatment for various underlying diseases and complications, with each patient receiving an average of six different medications1. In principle, each intravenous drug should be administered through a dedicated line to prevent incompatibility. However, in day-to-day practice, 47% of patients in the ICU receive three or more medications simultaneously via the same infusion route2. Furthermore, 8.5% of ICU cases involve the administration of drugs with known or unrecognized incompatibilities via the same route, hindering the safe implementation of pharmacological therapy3. Consequently, the risk of drug incompatibilities increases, prompting numerous studies to evaluate their compatibility with commonly used ICU medications4,5. Incompatibility with injectable drugs can lead to decreased efficacy and the risk of embolism due to insoluble precipitates, markedly affecting the prognosis of critically ill patients6,7,8. Therefore, verifying the compatibility of each drug is essential when administering multiple medications via the same route to avoid potential incompatibilities and ensure patient safety.
In the ICU, life-threatening arrhythmias such as ventricular fibrillation (VF) and ventricular tachycardia (VT) are associated with various conditions, including acute heart failure and myocardial infarction9,10. During such emergencies, multiple medications are promptly administered. Amiodarone is widely used as a first-line agent owing to its broad pharmacological effects against VF and VT11,12,13. Additionally, patients with VF or VT often present with circulatory failure, which may lead to pulmonary congestion and edema, making fluid management crucial for prognosis14. Therefore, furosemide is commonly co-administered with amiodarone. Amiodarone is poorly soluble in water but remains soluble under acidic conditions (approximately pH 4)15; therefore, its compatibility with drugs formulated under basic conditions must be evaluated. Furosemide, an acidic drug formulated at a basic pH of 8.6–9.6 to enhance its solubility, can precipitate when mixed with drugs formulated under acidic conditions16. To minimize drug incompatibility, furosemide should be administered either alone or with drugs formulated under basic conditions17. Nevertheless, despite the frequent co-administration of amiodarone and furosemide in clinical settings, reports on their compatibility are inconsistent, with some studies indicating compatibility18 and others reporting incompatibility17. These discrepancies could be attributed to differences in testing methods that do not accurately reflect clinical administration conditions. Therefore, compatibility must be re-evaluated under conditions that better simulate clinical settings.
Various methods have been employed to assess the physical compatibility of intravenous pharmaceutical formulations, including mixing drugs in a 1:1 ratio in a test tube19, varying the mixing ratio in the test tube20, and using intravenous infusion routes21. During intravenous administration, simultaneous administration of multiple drugs typically occurs via branching sites, such as Y-sites or three-way stopcocks. Intravenous administration from the Y site results in a 1:1 volume mixture22, leading to the common practice of performing compatibility tests at this ratio. However, differences in the mixing ratio cause variations in the incompatibility outcomes23. Multiple drugs are often administered through branching sites via infusion or syringe pumps in patients in the ICU. In these cases, the mixed fluids in the tubular structures of the infusion routes exhibit either laminar or turbulent flow behavior24, which may prevent uniform drug mixing. Furthermore, fluctuations in the flow rate of each drug caused constant changes in the mixing ratios. Consequently, the application of traditional compatibility testing methods in the clinical setting is challenging. These factors necessitate the development of compatibility testing methods that can better simulate clinical conditions. This study aimed to compare a conventional compatibility testing method with an approach that more closely simulates the clinical route of intravenous administration using amiodarone and furosemide as model compounds.
Results
Changes in appearance in each mixed solution for simulated mixing (SM) and route mixing (RM)
The optimal sampling time for the RM method was determined by monitoring visual changes at various time points after the infusion was initiated. No visible changes were observed immediately after the start of the furosemide infusion (8 or 10 mg/h). However, turbidity was noted in samples collected from the distal end of the infusion line 15 min after infusion initiation and persisted thereafter. In contrast, furosemide infusion at 5 mg/h showed no change, even after 90 min (data not shown). Therefore, for all subsequent experiments, RM samples were collected 15 min post-infusion. Similarly, for the SM samples, stirring was performed for a period equivalent to the RM priming time and continued for an additional 15 min (Fig. 1).
Changes in the appearance of the mixed solutions prepared using the SM and RM methods were visually evaluated (Fig. 2a). No visible changes were observed in the amiodarone and furosemide mixtures at a rate of 5 mg/h under either condition. In contrast, faint turbidity was observed in the RM mixture with furosemide at 8 mg/h, whereas the SM mixture remained clear. Furthermore, turbidity was observed in both the SM and RM mixtures at a furosemide infusion rate of 10 mg/h, with more pronounced turbidity in the RM mixture than in the SM mixture.
Visible absorbance measurements were performed at 420 nm (indicative of color change) and 550 nm (indicative of turbidity) to assess changes in appearance quantitatively (Fig. 2b). The rate of change in absorbance at 420 nm showed no significant differences between SM mixtures at 8 and 10 mg/h (0.98 ± 0.01 and 1.17 ± 0.08, respectively) compared to 5 mg/h. Similarly, the absorbance values for RM mixtures at 5 and 8 mg/h (0.95 ± 0.03 and 1.04 ± 0.10, respectively) did not differ significantly from those of SM mixtures at 5 mg/h. However, RM mixtures at 10 mg/h showed a significantly higher absorbance (1.90 ± 0.10) than all other mixed solutions. Furthermore, the rate of change in absorbance at 550 nm showed no significant difference between SM mixtures at 8 and 10 mg/h (0.96 ± 0.01 and 1.05 ± 0.04, respectively) and SM mixtures at 5 mg/h. Similarly, no significant difference was observed between SM mixtures at 5 mg/h and RM mixtures at 5 and 8 mg/h (0.95 ± 0.03 and 1.01 ± 0.01, respectively). In contrast, RM mixtures at 10 mg/h exhibited a significant increase (1.37 ± 0.03) in turbidity compared to all other groups. The RM mixture with furosemide at 10 mg/h showed the most pronounced turbidity among all the conditions tested. The absorbance values were approximately 1.6 times higher at 420 nm and 1.3 times higher at 550 nm than the corresponding SM mixture. In contrast, the RM mixture at 8 mg/h exhibited only slight turbidity, and its absorbance did not differ significantly from that of the SM mixture at the same dose.
Method for preparing a mixture of amiodarone (adjusted to 1.5 mg/mL with 5% dextrose) and undiluted 10 mg/mL furosemide. (a) The two drug solutions were directly mixed in a screw-cap tube based on the dosage ratio used in clinical practice (simulation mixing [SM]). (b) The drug solutions were mixed under actual infusion conditions using a clinical infusion route at the clinically used dosage (route mixing [RM])
Visual changes and absorbance of amiodarone and furosemide mixtures prepared using the SM and RM methods. (a) Visual observation of the mixtures. Amiodarone was infused at 25.5 mg/h (corresponding injection volume: SM 1.7 mL, RM 17 mL/h). Furosemide was infused at 5 mg/h (SM 50 µL, RM 0.5 mL/h), 8 mg/h (SM 80 µL, RM 0.8 mL/h), or 10 mg/h (SM 100 µL, RM 1.0 mL/h) (b) Relative changes in absorbance at 420 nm and 550 nm in each group compared to those of amiodarone and furosemide 5 mg/h in SM. Data are presented as the mean ± standard error of three samples. ** p < 0.01, *** p < 0.001: Tukey’s multiple comparison test
Crystallinity analysis of white precipitates formed by the amiodarone and furosemide mixture
The crystallinity of the precipitates obtained from the turbid mixtures was evaluated using Powder X-ray diffraction (PXRD) to determine whether mixing amiodarone and furosemide formed a new structural entity. The PXRD pattern of the precipitate obtained after mixing exhibited diffraction peaks corresponding to furosemide and amiodarone hydrochloride (Fig. 3). Peaks attributable to furosemide forms I and II were also observed. Additionally, several diffraction peaks could not be assigned to the known crystalline forms of furosemide or amiodarone hydrochloride, suggesting a potential contribution from excipients in the formulations.
Powder X-ray diffraction patterns of white precipitates. Circular symbols indicate characteristic diffraction peaks derived from each crystalline component; black circles represent furosemide form I, blue circles represent furosemide form II, and green circles represent amiodarone hydrochloride
Effect of SM and RM on pH
Mixing amiodarone and furosemide may result in formulation changes due to pH variations. Therefore, the pH of each mixed solution was determined. In the SM method, the pH values were 4.9 ± 0.1, 5.1 ± 0.1, and 5.8 ± 0.2 for furosemide doses of 5, 8, and 10 mg/h, respectively. In the RM method, the pH values were 4.6 ± 0.1, 5.1 ± 0.1, and 5.3 ± 0.1 for the corresponding doses. In both methods, the pH shifted toward more basic values as the injection volume increased with furosemide dose (Fig. 4).
The pH values for each mixing method were compared. In SM, the pH at 10 mg/h was significantly higher than that at 5 and 8 mg/h, whereas no significant difference was observed between 5 and 8 mg/h. A similar trend was noted for the RM method, where the pH at 8 and 10 mg/h was significantly higher than that at 5 mg/h; however, no significant difference was observed between 8 and 10 mg/h. When comparing SM and RM at the same furosemide dose, the pH in SM was significantly higher than that in RM at 5 and 10 mg/h, whereas no significant difference was observed between the two methods at 8 mg/h (Fig. 4).
pH changes in mixtures containing varying amiodarone and furosemide doses The graphs illustrate the pH changes in the mixtures prepared using SM and RM containing different amiodarone and furosemide doses, along with the pH differences between the two methods. Amiodarone was infused at 25.5 mg/h (corresponding injection volume: SM 1.7 mL, RM 17 mL/h). Furosemide was infused at 5 mg/h (SM 50 µL, RM 0.5 mL/h), 8 mg/h (SM 80 µL, RM 0.8 mL/h), or 10 mg/h (SM 100 µL, RM 1.0 mL/h). Data are presented as the mean ± standard deviation of three samples. N.S. not significant, *p< 0.05, **p < 0.01, #p < 0.001 SM 5 mg/h vs. SM 10 mg/h, ##p < 0.001 SM 8 mg/h vs. SM 10 mg/h, ▲p< 0.001 RM 5 mg/h vs. RM 10 mg/h, ■p < 0.05 RM 5 mg/h vs. RM 8 mg/h: Tukey’s multiple comparison test.
Effect of SM and RM on particle size
Dynamic light scattering (DLS) was used to measure the particle size distribution and assess how differences in appearance between the SM and RM methods affected the particle size. In the SM method, the mode diameter increased from 7.8 nm to 15.5 nm and 81.3 nm as the furosemide dose increased from 5 mg/h to 8 mg/h and 10 mg/h, respectively. In contrast, the RM method showed mode diameters of 5.9, 141, and 187 nm for the same doses, indicating a markedly different particle size behavior between the two methods. Additionally, a bimodal distribution was observed using the RM method at a furosemide dose of 5 mg/h, with particle populations of approximately 5.9 nm and 200 nm. The mode diameter of amiodarone alone at 1.5 mg/mL was 1.3 nm, whereas the particle size of furosemide at 10 mg/mL, which was dissolved entirely, could not be measured (Fig. 5).
Particle size distribution analysis in amiodarone–furosemide mixtures. Comparative assessment of particle sizes in amiodarone and furosemide mixtures prepared using SM and RM methods, as measured by DLS. Amiodarone was infused at 25.5 mg/h (corresponding injection volume: SM 1.7 mL, RM 17 mL/h). Furosemide was infused at 5 mg/h (SM 50 µL, RM 0.5 mL/h), 8 mg/h (SM 80 µL, RM 0.8 mL/h), or 10 mg/h (SM 100 µL, RM 1.0 mL/h). The data illustrate the differences in the particle formation characteristics between the two preparation methods. Values are expressed as the median particle size for each mixture.
Discussion
Previous compatibility studies have primarily focused on mixing and stirring the two drugs under static conditions in test tubes. However, in clinical practice, drugs are administered continuously, mixed, and stirred via intravenous infusion routes and delivered into the body under dynamic conditions. This approach differs substantially from the static conditions typically used in test tube studies. Nonetheless, a direct comparison between the SM and RM methods has not been sufficiently investigated. This study revealed significant differences in drug incompatibility between the SM and RM methods for the combination of amiodarone and furosemide.
Several studies have investigated the compatibility of amiodarone and furosemide. For instance, no visual changes were observed when amiodarone (900 mg) was diluted in 500 mL of 5% glucose and mixed with furosemide (100 mg/10 mL)18. In contrast, visual changes occurred when higher concentrations of both drugs (15 mg/mL amiodarone and 10 mg/mL furosemide) were mixed at a 1:1 ratio17, suggesting that both the concentration and mixing ratio influence compatibility. In this study, the mixing ratios of amiodarone and furosemide were standardized using both the SM and RM methods, and the visual appearance and visible absorbance of the resulting mixtures were compared. When amiodarone was co-administered with furosemide at a rate of 5 mg/h, no visible changes were observed using either method. However, at 8 and 10 mg/h, apparent differences in visual changes were noted between SM and RM. Similarly, significant differences in visible absorbance were observed between SM and RM treated with furosemide at 10 mg/h. In contrast, no significant differences in the absorbance were detected at 8 mg/h; however, slight changes were observed. Visual detection of changes in appearance may be more sensitive than absorbance measurements25. Therefore, one possible explanation for the discrepancy between the visual changes and absorbance results is that absorbance measurements may have a lower sensitivity than visual assessments. In this study, both visual and absorbance measurements were used to assess the differences between SM and RM, demonstrating variations in compatibility. In other words, even with the same mixing ratio, differences in appearance compatibility were observed between SM and RM, emphasizing the influence of distinct mixing conditions on the results.
The mechanism underlying drug compatibility has been reported in several studies, with one example being the decrease in solubility of drugs, such as midazolam, owing to pH changes26 and the formation of insoluble salts upon mixing ceftriaxone and calcium preparations27. In this study, PXRD confirmed that the precipitate consisted of a mixture of furosemide polymorphs and amiodarone hydrochloride, without the formation of new crystalline substances. This finding suggests that the solubility of the drugs may have decreased upon mixing, leading to the precipitation of existing crystalline components. Furosemide exhibits pH-dependent solubility28, whereas the solubility of amiodarone hydrochloride is affected by temperature and pH29,30. In this study, all experiments were conducted under controlled room temperature conditions (20–25 °C), and the effect of temperature on the differences in turbidity between SM and RM was likely minimal. Therefore, the incompatibility between amiodarone and furosemide is primarily due to the decrease in solubility induced by changes in pH. This phenomenon can be explained by the Henderson–Hasselbalch equation and the ionization states of the drugs. Amiodarone is a basic drug (pKa 8.9) that is soluble in its protonated, ionized form under acidic conditions. Conversely, furosemide is an acidic drug (pKa 3.9) that is soluble in its deprotonated, ionized form under basic conditions. When the two solutions are mixed, the pH shifts to an intermediate range (4.5–6.0) in which a substantial fraction of both drugs exists in their less soluble, non-ionized forms, leading to precipitation.
The pH of each mixed solution was measured using SM and RM to investigate the effect of pH on the incompatibility between amiodarone and furosemide. In both methods, increasing the furosemide dose raised the injection volume, shifted the pH of the mixture toward the basic range, and caused visible changes in appearance. Generally, furosemide is highly stable under basic conditions, with a pH near 8.0. Specifically, its solubility is 0.33 mg/mL at pH 5.0 and 1.50 mg/mL at pH 6.531. The furosemide doses used in this study, 5, 8, and 10 mg/h, correspond to calculated concentrations of 0.28, 0.45, and 0.55 mg/mL, respectively, all of which fall within the solubility range of pH 5–6 (0.33–1.50 mg/mL). In contrast, amiodarone exhibits the highest solubility at an acidic pH of approximately 4.532, and its solubility decreases drastically between pH 5 and 633. Therefore, an increase in pH is unlikely to cause furosemide precipitation, and the reduced solubility of amiodarone is likely the primary cause of turbidity.
Notably, under the furosemide 8 mg/h condition, turbidity was observed only in RM, despite no significant pH difference between SM and RM. This result suggests that turbidity cannot be explained solely by the pH-induced precipitation of amiodarone. Amiodarone forms colloidal states in aqueous solutions and forms low-molecular-weight aggregates that precipitate through dilution34. Therefore, the more pronounced visual changes observed in RM than in SM may be due to amiodarone aggregation, which is influenced by pH and the different mixing conditions of SM and RM. Particle size distribution assessments indicated that in SM, the particle size gradually increased from 7.8 nm to 81.3 nm as the furosemide dose increased. In contrast, in RM, a large particle size of 200 nm was observed at the lowest furosemide dose of 5 mg/h, indicating a notable difference in particle size distribution between the two mixing methods. The flow within infusion lines does not strictly conform to either laminar or turbulent regimes but rather exhibits complex transitional behavior24. Such flow complexity may induce localized shear forces, non-uniform mixing zones, and fluctuating drug concentrations, which may facilitate colloid destabilization and aggregation. The dynamic mixing conditions simulated by RM likely reflected these real-world flow complexities, contributing to the differences in particle size distribution and appearance compared with the static SM condition. Furthermore, mixing in two rather than one stage results in the formation of larger aggregates when a flocculant is added to a colloidal suspension35,36. In the one-stage method, the particle surface is covered by a flocculant, thereby inhibiting aggregation. In contrast, unreacted particles remained in the two-stage method, allowing for secondary aggregation and formation of larger aggregates. The RM method may promote aggregation in a manner similar to the two-step mixing process, due to the sequential mixing environment, where initially, mixing occurs at the branching sites, followed by continued mixing along the infusion route. Based on these results, the differences observed in the incompatibility between SM and RM were attributed to the distinct aggregation behavior of amiodarone under the two mixing conditions. In other words, the compatibility between amiodarone and furosemide is influenced by pH-induced changes in the solubility and aggregation behavior under different mixing conditions.
This study had some limitations. First, compatibility evaluations were conducted after a relatively short mixing period of 15 min, which may not have fully captured the long-term stability changes that occur during continuous infusion. Second, temporary administration interruptions and the diverse designs of Y-site connectors used in clinical practice may result in interactions that differ from those observed under the controlled experimental conditions of this study. Third, our study has limitations related to formulation excipients. The precise identity and concentration of the pH regulator in the furosemide formulation were not disclosed by the manufacturer, and this agent likely influenced the final pH and compatibility outcomes. In addition, the 5% dextrose solution used as a vehicle has an inherently acidic pH (typically ranging from 3.5 to 6.5), which may also affect the final pH of the mixture. These uncharacterized factors should be considered when interpreting our results and warrant further investigation in future studies. Furthermore, the RM method may be considered a form of flow reaction chemistry, but since our study relied on offline measurements, it may not have fully captured real-time precipitation dynamics. Future online monitoring might better clarify flow-dependent incompatibility mechanisms. Finally, as this study focused on a single drug combination, the applicability of these findings to other commonly used ICU drug combinations remains unclear.
Methods
Sample preparation
Mixed amiodarone and furosemide samples were prepared using two methods to simulate continuous infusion in the ICU. The first is the SM method, which is a widely used approach in compatibility testing. In this method, amiodarone and furosemide solutions are mixed directly in screw-cap tubes at the clinical administration ratio (Fig. 1a). The second method is the RM method, which utilizes an infusion line and syringe pumps to closely replicate the clinical setting of continuous infusion. Specifically, an experimental system was constructed to simulate clinical administration conditions, including the infusion rate and mixing environment, using standard clinical infusion equipment (Fig. 1b).
Amiodarone is commonly administered by diluting 75 mg/1.5 mL of the drug with 48.5 mL of 5% dextrose (Otsuka Pharmaceutical Co., Ltd., Tokyo, Japan) to prepare a 1.5 mg/mL solution37, followed by continuous infusion at a maintenance rate of 25.5 mg/h (17 mL/h) (Sanofi Co., Ltd., Tokyo, Japan; Interview Form “Ancaron®,” revised July 2024). Furosemide was used undiluted at a concentration of 10 mg/mL (Lasix® 100 mg/10 mL; Nichi-Iko Pharmaceutical Co., Ltd., Tokyo, Japan), with dosing rates of 5, 8, and 10 mg/h selected within the clinical range (Table 1)38,39. Based on these protocols, for the SM method, amiodarone at 1.5 mg/mL (1.70 mL, equivalent to 25.5 mg/h) was mixed with furosemide at 10 mg/mL (50, 80, or 100 µL, corresponding to 5, 8, or 10 mg/h, respectively) in a glass screw-cap tube (No. 3, capacity: 9 mL; Maruemu Co., Ltd., Tokyo, Japan) and stirred (Table 2). For the RM method, syringes (50 and 10 mL; Terumo Co., Ltd., Tokyo, Japan) filled with 1.5 mg/mL amiodarone and 10 mg/mL furosemide were connected to a syringe pump (FP-1000; Melquest Co., Ltd., Toyama, Japan). Amiodarone was infused at 25.5 mg/h, and furosemide was infused at 5, 8, or 10 mg/h through a three-way stopcock (Table 2).
Samples were prepared in triplicate using the SM and RM methods to obtain three independent samples for each condition. All samples were prepared at room temperature (20–25 °C). Notably, amiodarone hydrochloride adsorbs onto polyvinyl chloride (PVC) infusion sets, and leaching of the plasticizer di(2-ethylhexyl) phthalate (DEHP) from DEHP-containing PVC infusion sets is a concern. Therefore, infusion routes made of PVC- and DEHP-free materials were used in the RM method. Specifically, a three-way stopcock extension tube (TS-WR1735L; Terumo Co., Ltd.) with an internal diameter of 2.1 mm, a length of 50 cm, and a volume of 1.7 mL was connected to an extension tube (SA-ET211100; Terumo Co., Ltd.) with an internal diameter of 2.1 mm, a length of 20 cm, and a volume of 0.8 mL.
Evaluation of visual changes
All mixed samples were collected in glass screw-cap tubes and macroscopically evaluated by the same investigator under standard laboratory conditions using a black background and fluorescent light. The evaluation criteria included color change, precipitate formation, and turbidity. Changes in color (420 nm) and turbidity (550 nm) were quantitatively assessed using a microplate reader (SH-1000Lab; CORONA ELECTRIC Co., Ltd., Niigata, Japan)40. Changes in absorbance were calculated relative to the absorbance of the sample prepared using the SM method with amiodarone and furosemide at 5 mg/h, which showed no apparent visual changes.
Powder X-ray diffraction analysis
PXRD analysis was performed to investigate the composition of the white precipitates generated by the SM and RM methods. For crystallinity evaluation, a turbid mixture was prepared using a furosemide infusion rate of 20 mg/h, which produced more pronounced turbidity and a higher precipitate recovery rate than 10 mg/h under RM. The resulting turbid mixture was allowed to settle, and the precipitate was dried and analyzed using PXRD (MiniFlex 600 X-ray diffractometer; Rigaku Co., Ltd., Tokyo, Japan). Measurement conditions were as follows: Cu-Kα radiation as the source, tube voltage of 30 kV, tube current of 15 mA, scanning range of 5.0–35.0°, and scan speed of 10°/min. The composition of the white precipitate was determined by comparing the diffraction patterns with those of each drug alone. The PXRD patterns of furosemide were obtained from previously reported polymorphs, form I (No. 1161545) and form II (No. 761770), retrieved from the Cambridge Crystallographic Data Center. The PXRD pattern of amiodarone was obtained from a standard amiodarone hydrochloride sample (FUJIFILM WAKO PURE CHEMICAL Co., Ltd., Osaka, Japan).
pH measurement
Changes in the pH of mixed drug solutions can significantly affect their stability41. The pH of each solution was measured using a pH meter (F-2000 PI; HORIBA Co., Ltd., Kyoto, Japan). Measurements were performed for each sample, and the obtained pH values are presented as the mean ± standard deviation.
Particle size distribution measurement
The particle size distribution of both the SM and RM samples was measured immediately after preparation to assess the particle size of the turbid mixed solutions resulting from formulation changes. DLS was used for these measurements. The particle size was measured using a Nanoparsec SZ-100V2 series instrument (HORIBA Co., Ltd., Kyoto, Japan) under the following conditions: wavelength, 532 nm; temperature, 25 °C; viscosity, 0.898 cP; and refractive index, 1.333. Measurements were conducted on undiluted samples, and each sample was analyzed in triplicate. The mean values were used to construct the graphs.
Statistical analyses
Statistical analyses were performed using JMP® version 8 (SAS Institute, Cary, NC, USA). One-way analysis of variance was performed, followed by Tukey’s multiple comparison test. Data are presented as the mean ± standard deviation or standard error, and p-values < 0.05 were considered significant.
Conclusion
This study demonstrates that the mixing conditions significantly influence the compatibility of amiodarone and furosemide. Notably, the RM method, which simulates clinical intravenous infusion routes, resulted in increased turbidity and particle growth compared to conventional static mixing. These findings suggest that traditional in vitro compatibility tests may underestimate the risk of precipitation and aggregation during intravenous administration. In high-risk settings such as the ICU, dynamic simulation methods such as RM may be more appropriate for assessing the potential for catheter occlusion and drug delivery failure. Based on our findings, no visible changes were observed at lower infusion rates of furosemide, although alterations in particle size were detected. The clinical significance of these changes for pharmacological activity and pharmacokinetics remains uncertain and warrants further investigation. Therefore, co-administration of amiodarone and furosemide through the same intravenous line should be avoided, and separate administration routes are recommended. This study provides novel evidence supporting the need to re-evaluate the standard compatibility testing methods commonly used in clinical practice. However, further studies are warranted to confirm these findings under extended infusion times, across diverse administration routes, and under biologically relevant conditions, including the presence of serum proteins. Such efforts are essential to generalize the current findings and facilitate their translation into clinical practice.
Data availability
The data used to support the findings of this study are available from the corresponding author upon request.
References
Machotka, O., Manak, J., Kubena, A. & Vlcek, J. Incidence of intravenous drug incompatibilities in intensive care units. Biomed. Pap Med. Fac. Univ. Palacky Olomouc Czech Repub. 159, 652–656. https://doi.org/10.5507/bp.2014.057 (2015).
Wagner, L. A. F., Neininger, M. P., Hensen, J., Zube, O. & Bertsche, T. Avoiding incompatible drug pairs in central-venous catheters of patients receiving critical care: an algorithm-based analysis and a staff survey. Eur. J. Clin. Pharmacol. 79, 1081–1089. https://doi.org/10.1007/s00228-023-03509-0 (2023).
Kanji, S. et al. Inappropriate medication administration practices in Canadian adult icus: a multicenter, cross-sectional observational study. Ann. Pharmacother. 47, 637–643. https://doi.org/10.1345/aph.1R414 (2013).
Kanji, S. et al. Systematic review of physical and chemical compatibility of commonly used medications administered by continuous infusion in intensive care units. Crit. Care Med. 38, 1890–1898. https://doi.org/10.1097/CCM.0b013e3181e8adcc (2010).
Castells Lao, G., Rodríguez Reyes, M., Roura Turet, J., Prat Dot, M. & Soy Muner, D. López cabezas, C. Compatibility of drugs administered as Y-site infusion in intensive care units: A systematic review. Med. Intensiva (Engl Ed). 44, 80–87. https://doi.org/10.1016/j.medin.2018.08.004 (2020).
Zaccardelli, D. S., Krcmarik, C. S., Wolk, R. & Khalidi, N. Stability of Imipenem and Cilastatin sodium in total parenteral nutrient solution. JPEN J. Parenter. Enter. Nutr. 14, 306–309. https://doi.org/10.1177/0148607190014003306 (1990).
Bradley, J. S., Wassel, R. T., Lee, L. & Nambiar, S. Intravenous ceftriaxone and calcium in the neonate: assessing the risk for cardiopulmonary adverse events. Pediatrics 123, e609–e613. https://doi.org/10.1542/peds.2008-3080 (2009).
Benlabed, M. et al. Clinical implications of intravenous drug incompatibilities in critically ill patients. Anaesth. Crit. Care Pain Med. 38, 173–180. https://doi.org/10.1016/j.accpm.2018.04.003 (2019).
Roedl, K. et al. Epidemiology of intensive care unit cardiac arrest: characteristics, comorbidities, and post-cardiac arrest organ failure — A prospective observational study. Resuscitation 156, 92–98. https://doi.org/10.1016/j.resuscitation.2020.09.003 (2020).
Efendijev, I., Nurmi, J., Castrén, M. & Skrifvars, M. B. Incidence and outcome from adult cardiac arrest occurring in the intensive care unit: a systematic review of the literature. Resuscitation 85, 472–479. https://doi.org/10.1016/j.resuscitation.2013.12.027 (2014).
Kudenchuk, P. J. et al. Amiodarone for resuscitation after out-of-hospital cardiac arrest due to ventricular fibrillation. N Engl. J. Med. 341, 871–878. https://doi.org/10.1056/NEJM199909163411203 (1999).
Dorian, P. et al. Amiodarone as compared with Lidocaine for shock-resistant ventricular fibrillation. N Engl. J. Med. 346, 884–890. https://doi.org/10.1056/NEJMoa013029 (2002).
Leeuwenburgh, B. P. J., Versteegh, M. I. M., Maas, J. J. & Dunning, J. Should Amiodarone or Lidocaine be given to patients who arrest after cardiac surgery and fail to cardiovert from ventricular fibrillation? Interact. Cardiovasc. Thorac. Surg. 7, 1148–1151. https://doi.org/10.1510/icvts.2008.188656 (2008).
Silversides, J. A. et al. Deresuscitation of patients with iatrogenic fluid overload is associated with reduced mortality in critical illness. Crit. Care Med. 46, 1600–1607. https://doi.org/10.1097/CCM.0000000000003276 (2018).
Boury, F., Gautier, J. C., Bouligand, Y. & Proust, J. E. Interfacial properties of amiodarone: the stabilizing effect of phosphate anions. Colloids Surf. B Biointerfaces. 20, 219–227. https://doi.org/10.1016/s0927-7765(00)00195-8 (2001).
Munakata, C. et al. [Effect of pH and additives on the compatibility between Vancomycin and Furosemide injections.] (in Japanese). Yakugaku Zasshi. 138, 853–860. https://doi.org/10.1248/yakushi.18-00004 (2018).
Pérez Juan, E., Maqueda Palau, M., Arévalo Rubert, M., Ribas Nicolau, B. & Amorós Cerdá, S. M. [Physical compatibility of Furosemide in intravenous mixtures for continuous perfusion.] (in Spanish). Enferm Intensiva. 21, 96–103. https://doi.org/10.1016/j.enfi.2010.01.004 (2010).
Campbell, S., Nolan Jr, P. E., Bliss, M., Wood, R. & Mayersohn, M. Stability of Amiodarone hydrochloride in admixtures with other injectable drugs. Am. J. Hosp. Pharm. 43, 917–921. https://doi.org/10.1093/ajhp/43.4.917 (1986).
AlSalman, F., Howlett, M., Breatnach, C., Kelly, H. & O’Brien, F. Supporting the use of sildenafil infusions in paediatric and neonatal intensive care – A compatibility study. Eur. J. Pharm. Biopharm. 151, 153–161. https://doi.org/10.1016/j.ejpb.2020.04.008 (2020).
Wilson, K. M., Schneider, J. J. & Ravenscroft, P. J. Stability of Midazolam and Fentanyl in infusion solutions. J. Pain Symptom Manage. 16, 52–58. https://doi.org/10.1016/s0885-3924(98)00024-4 (1998).
O’Donnell, J. N., Xu, A. & Lodise, T. P. Intravenous compatibility of ceftazidime-avibactam and Aztreonam using simulated and actual Y-site administration. Clin. Ther. 42, 1580–1586e2. https://doi.org/10.1016/j.clinthera.2020.06.005 (2020).
Allen, L. V. Jr, Levinson, R. S. & Phisutsinthop, D. Compatibility of various admixtures with secondary additives at Y-injection sites of intravenous administration sets. Am. J. Hosp. Pharm. 34, 939–943. https://doi.org/10.1093/ajhp/34.9.939 (1977).
Gersonde, F., Eisend, S., Haake, N. & Kunze, T. Physicochemical compatibility and emulsion stability of Propofol with commonly used analgesics and sedatives in an intensive care unit. Eur. J. Hosp. Pharm. 24, 293–303. https://doi.org/10.1136/ejhpharm-2016-001038 (2017).
Philip, B. K. & Philip, J. H. Characterization of flow in intravenous infusion systems. IEEE Trans. Biomed. Eng. 30, 702–707. https://doi.org/10.1109/tbme.1983.325183 (1983).
Dasta, J. F., Hale, K. N., Stauffer, G. L. & Tschampel, M. M. Comparison of visual and turbidimetric methods for determining short-term compatibility of intravenous critical-care drugs. Am. J. Hosp. Pharm. 45, 2361–2366. https://doi.org/10.1093/ajhp/45.11.2361 (1988).
Good, P. D., Schneider, J. J. & Ravenscroft, P. J. The compatibility and stability of Midazolam and dexamethasone in infusion solutions. J. Pain Symptom Manage. 27, 471–475. https://doi.org/10.1016/j.jpainsymman.2004.02.002 (2004).
Nakai, Y., Tokuyama, E., Yoshida, M. & Uchida, T. Prediction of incompatibility of ceftriaxone sodium with calcium ions using the ionic product. Yakugaku Zasshi. 130, 95–102. https://doi.org/10.1248/yakushi.130.95 (2010).
Shah, K. A., Das Gupta, V. & Stewart, K. R. Effect of pH, chlorobutanol, cysteine hydrochloride, Ethylenediaminetetraacetic acid, propylene glycol, sodium metabisulfite, and sodium sulfite on Furosemide stability in aqueous solutions. J. Pharm. Sci. 69, 594–596. https://doi.org/10.1002/jps.2600690533 (1980).
Rubim, A. M., Rubenick, J. B., Maurer, M., Laporta, L. V. & Rolim, C. M. B. Inclusion complex of Amiodarone hydrochloride with cyclodextrins: preparation, characterization and dissolution rate evaluation. Braz J. Pharm. Sci. 53, e16083. https://doi.org/10.1590/s2175-97902017000216083 (2017).
Mohammadi, H. S., Asl, A. H. & Khajenoori, M. Determination of Amiodarone hydrochloride solubility in pure and ethanol-modified subcritical water: experimental data and modeling. J. Mol. Liq. 362, 119679. https://doi.org/10.1016/j.molliq.2022.119679 (2022).
Granero, G. E. et al. Biowaiver monographs for immediate release solid oral dosage forms: Furosemide. J. Pharm. Sci. 99, 2544–2556. https://doi.org/10.1002/jps.22030 (2010).
Jacobs, M. S. et al. Ready-to-use parenteral amiodarone: a feasibility study towards a long-term stable product formulation. Eur. J. Hosp. Pharm. 24, 110–114. https://doi.org/10.1136/ejhpharm-2015-000860 (2017).
Bergström, C. A. S., Luthman, K. & Artursson, P. Accuracy of calculated pH-dependent aqueous drug solubility. Eur. J. Pharm. Sci. 22, 387–398. https://doi.org/10.1016/j.ejps.2004.04.006 (2004).
Benedini, L. et al. Colloidal properties of Amiodarone in water at low concentration. J. Colloid Interface Sci. 342, 407–414. https://doi.org/10.1016/j.jcis.2009.10.071 (2010).
Fleer, G. J. & Lyklema, J. Polymer adsorption and its effect on the stability of hydrophobic colloids. II. The flocculation process as studied with the silver iodide-polyvinyl alcohol system. J. Colloid Interface Sci. 46, 1–12. https://doi.org/10.1016/0021-9797(74)90018-6 (1974).
Fleer, G. J. & Lyklema, J. Polymer adsorption and its effect on the stability of hydrophobic colloids. III. Kinetics of the flocculation of silver iodide sols. J. Colloid Interface Sci. 55, 228–238. https://doi.org/10.1016/0021-9797(76)90029-1 (1976).
American Society of Health-System Pharmacists. Standardized concentrations: adult continuous IV infusions Version 1.01. (2016). https://www.ashp.org/-/media/assets/pharmacy-practice/s4s/docs/s4s-iv-adult-continuous-infusion-guiding-principles.ashx
Ballarat Health Services. Drug guideline furosemide (frusemide) - intravenous. (2025). https://www.bhs.org.au/bhsapps/govdoc/gdhtml/drg0009.html
Felker, G. M. et al. Diuretic strategies in patients with acute decompensated heart failure. N Engl. J. Med. 364, 797–805. https://doi.org/10.1056/NEJMoa1005419 (2011).
Koller, A. K., Krebs, S. & Dörje, F. Medication safety in intravenous therapy: A compatibility study of clonidine with drugs frequently used in intensive care. Pharmaceutics 13, 21. https://doi.org/10.3390/pharmaceutics13010021 (2020).
David, W. N. Drug incompatibility chemistry. Am. J. Health Syst. Pharm. 66, 348–357. https://doi.org/10.2146/ajhp080059 (2009).
Acknowledgements
The authors thank Yoko Shinozaki, Fumiya Koshikumo, Megumi Tsuchiya, and Akihiro Takarabe of HORIBA Inc. for their technical assistance. We would like to thank Editage (www.editage.jp) for English language editing.
Funding
This study was partly supported by the Nihon University Multidisciplinary Research Grant for 2022–2023 (#22Dokusen11 to Y.K. and H.M.), JSPS KAKENHI Grant Number 23K14395 (to N.S.), and the OTC Self-Medication Promotion Foundation (to N.S. and Y.K.). The funding bodies had no role in the design of the study or writing of the manuscript.
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S.I. and N.S. were primarily responsible for material preparation, experimental procedures, and data collection. Specifically, S.I. designed the infusion simulation, conducted all primary experiments, and drafted the initial version of the manuscript. N.S. performed key analytical procedures, including particle size analysis and PXRD measurements, and made substantial contributions to data interpretation. T.I. contributed to the conceptual development of the study and co-drafted the initial manuscript with S.I.. H.N. and H.M. supported sample validation, assisted in data acquisition, and contributed to critical revisions of the manuscript. T.N. independently performed all statistical analyses, interpreted the results, and contributed to manuscript revisions to ensure the accuracy of the quantitative findings. T.S. and S.O. provided overall supervision and offered critical feedback throughout the planning and revision phases. Y.K. oversaw the study design, served as principal investigator, provided substantial input during manuscript revisions, and secured funding for the project. All authors critically reviewed and approved the final manuscript for submission.
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Iwabuchi, S., Imai , T., Suzuki, N. et al. Comparative evaluation of amiodarone and furosemide compatibility under different mixing conditions. Sci Rep 15, 36321 (2025). https://doi.org/10.1038/s41598-025-20217-0
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DOI: https://doi.org/10.1038/s41598-025-20217-0







