Ceftaroline Fosamil for the Empiric Treatment of Hospitalized Adults with cSSTI: An Economic Analysis from the Perspective of the Spanish National Health System

Introduction

Complicated skin and soft tissue infections (cSSTI), similarly to most infectious diseases, cause widespread morbidity frequently leading to hospitalization.^1,2 In these cases, such infections are associated with high healthcare resource use and costs, particularly driven by hospital length of stay.^3–5 Given the emergency nature of these hospitalizations, and the urgent need to initiate antimicrobial therapy, empiric intravenous (IV) antibiotic treatment is commonly started before the causative pathogen has been identified.⁶ However, patients failing to respond to initial antibiotic therapy are associated with a higher risk of mortality, morbidity and prolonged hospital stay,⁶ in turn resulting in increased hospital expenditures.^7–9 Therefore, the appropriate choice of initial antibiotic therapy is pivotal.

Skin and soft tissue infections (SSTIs) may be complicated (cSSTI), due to the severity of infection, need for surgical intervention and/or concomitant morbidities.¹⁰ The management of cSSTI has been recently further complicated by the rise of hospitalizations for Staphylococcus aureus (SA)-associated SSTI,^11,12 along with the concomitant rise in antibiotic resistant SA strains, including methicillin-resistant SA (MRSA).^13,14 Upon admission, prior to isolation of the causative organism, cSSTI patients are generally treated empirically with intravenous penicillin with or without a β-lactamase inhibitor, and other antibiotics, such as vancomycin and daptomycin.¹⁵ Clinical review of the patient after 48–72 hours is essential to assess response to treatment, and to align with the results of microbiological testing.¹³ Early response by Day 3 is indicative of less severe disease and better clinical outcome,^16,17 possibly enabling a switch to oral therapy and potentially resulting in early discharge.¹⁵ Conversely, patients without signs of early response, as seen in those with more severe disease, co-morbidities or more difficult-to-treat micro-organisms, may require longer treatment and/or broadening of the initial treatment to enhance the possibility of clinical response. Ultimately, failure of initial antibiotic therapy and consequent treatment modification has been demonstrated to lead to higher mortality, longer hospital stay and in turn higher costs.^17,18 Therefore, to minimize the risk of initial antibiotic failure and consequently the length of hospital stay for hospitalized cSSTI patients, an antibiotic with relatively high early response efficacy is highly desirable.

Ceftaroline fosamil (CFT; Zinforo^® in Europe and Teflaro^® in US) combines the safety and tolerability of a cephalosporin with efficacy against important pathogens responsible for cSSTI, including MRSA. Two non-inferiority studies (CANVAS 1 and CANVAS 2) demonstrated that CFT has comparable efficacy with vancomycin + aztreonam, in the empiric treatment of hospitalized adults with cSSTI.¹⁹ Furthermore, in comparison with vancomycin, daptomycin, linezolid or tigecycline, CFT was associated with comparable in-hospital mortality rate and significantly lower length of stay and in-patient costs.²⁰

The availability of newer agents, such as CFT, increases the choice of cSSTI treatment options for clinicians. However, treatment decisions are made considering both clinical benefit as well as economic value, given the rising concern of national health system expenditures. Therefore, a cost-consequence analysis was developed to evaluate the impact of using IV CFT in the empiric treatment of cSSTI as an alternative to other IV relevant antibiotic treatments from the perspective of the Spanish National Health System. The cost-consequence analysis allows to compare early response and the individual costs categories (eg, hospitalization costs, antibiotic costs) associated with each cSSTI treatment option.

Patients and Methods

Model Structure

Microsoft Excel 2016^® (Microsoft Corporation, Redmond, WA, USA) was used to develop a decision-tree model, evaluating the use of CFT 600mg every 12 hours (q12h) or other antibiotic therapies for the empiric treatment of hospitalized adult patients with cSSTI. The model structure chosen was a decision-tree since costs and clinical outcomes (resolution of signs and symptoms of the infection) occur over a relatively short period of time, typically <3 weeks from hospital admission to discharge.¹⁵ Furthermore, a similar model design has been used in previous economic evaluations of cSSTI treatments available in the literature.^21–24

Each branch of the decision-tree shown in Figure 1 represents a clinical pathway. The square in the schematic of the model represents a decision node where the decision to use CFT or other comparators is made. The circles represent chance nodes where probabilities determine the pathway that a trial simulation will travel. The triangles represent terminal nodes at which the total direct costs are determined for that specific branch of the model. The decision-tree probabilities can be found in Table 1.

Table 1 Summary of Clinical Inputs and Resource Use Along with SE and Distribution Used for Base-Case and Sensitivity Analyses

Figure 1 Schematic representation of the decision tree model with the patient pathways described above each branch. The decision-tree probabilities used in the analysis can be found in Table 1. Abbreviations: CFT, ceftaroline fosamil; cSSTI, complicated skin and soft tissue infection; IV, intravenous; LOS, length of stay.

An hypothetical cohort of adult patients with cSSTI hospital admission requiring immediate empiric IV antibiotic therapy is simulated in the model (Figure 1). Patients are immediately started on IV antibiotic therapy, before clinical and microbiological assessment, after which the treatment pathways diverge. Patients demonstrating early response are either discharged early switching to an oral antibiotic or remain in hospital continuing the initial IV antibiotic therapy, due to factors unrelated to cSSTI (eg, unable to swallow). On the contrary, non-responders either remain on their initial IV antibiotic or switch to a second-line antibiotic until clinical cure and discharge. Therefore, the model considers as clinical outcomes early response at Day 3 and clinical cure rate at test-of-cure.

The comparator antibiotics considered in the economic analysis were vancomycin 1g q12h, linezolid 600mg q12h, daptomycin 4–10mg/kg/day, tedizolid 200mg every 24 hours (q24h) and semi-synthetic penicillin (cloxacillin) 1–2g every 4–6 hours (q4–6h), based on cSSTI guidelines^25–28 and clinical experts consultation. The model perspective was the Spanish National Health System.

Early response is assessed at Day 3, as recommended by cSSTI guidelines (ie, 48–72 hours after initiation of therapy²⁸), and all Day 3 non-responders are assumed to continue treatment in the general ward. Following clinical specialists’ consultation, amoxicillin clavulanate (vial formulation) was chosen as 2nd line antibiotic while amoxicillin clavulanate (oral formulation) was chosen as oral step-down antibiotic (more details can be found in the Economic Inputs section).

Model Inputs

Clinical Inputs

Table 1 summarizes the clinical inputs used to parametrize the cost-consequence analysis for all comparators, with the first section of Table 1 summarizing the clinical cure rate, while the second section of Table 1 listing the clinical inputs for early response at Day 3.

The clinical cure rate at the test-of-cure visits (8–15 days after the last dose of study drug)¹⁹ for CFT (91.6%) was derived from a pooled analysis of the two Phase III RCTs CANVAS 1 and CANVAS 2, in the clinically evaluable (CE) population (defined as all randomized patients who received any treatment, who met clinical disease criteria for cSSTI, received a prespecified minimum amount of study drug, and for whom outcome information was available).¹⁹ The baseline characteristics of CANVAS 1 and CANVAS 2 patients have been reported in the literature¹⁹ and are briefly summarized here. Patients had a median age of 48 years with a higher proportion of males (61–64%) and United States as region of enrollment (43%) compared to Europe (EU: 21%; non-EU:27%) and Latin America (8%). Patients median BMI was 27, with a diabetes mellitus prevalence of 17%, peripheral vascular disease of 13% and injection drug use of 7%-8%. The most common site of primary infection was the lower limb (48–49%) with head/neck being less common (4–6%), and the median size of infection was 15 cm in length and 10 cm of width. About a third of patients had prior antimicrobial therapy (38–39%), with 14–16% of patients having received more than one surgical procedures on primary infection within 48 hours of enrollment, 5–7% having received incision and drainage and 4% debridement.¹⁹ The Wilson Disease Severity Score was not considered in the CANVAS 1 and 2 pooled analysis¹⁹ but was calculated afterwards in a prospective study, which derived a median Wilson Disease Severity Score for CANVAS patients of 76.5.²⁹

Head-to-head data for the comparators were not available. Therefore, clinical cure rates for the comparators were estimated from a published network meta-analysis (NMA).³⁰ The NMA used a systematic literature review (SLR) to estimate the relative efficacy of CFT against initial IV antibiotics in methicillin-resistant Staphylococcus aureus (MRSA)-suspected cSSTI. The search strategy was restricted to English language manuscripts with a publication date until November 2015. Fixed-effect model NMA was conducted to assess effect size in three population sets (intention-to-treat (ITT), clinically-evaluable (CE), and microbiologically-evaluable (ME)), with no adjustments assumed for multiple comparisons. The NMA results in the CE population were used to ensure consistency with CFT cure rate estimate, with the relative risk (RR) of CFT versus vancomycin, linezolid, daptomycin and cloxacillin estimated at 1.00 (95% CI 0.97–1.03), 0.94 (95% CI 0.91–0.99), 0.94 (95% CI 0.85–1.03) and 1.04 (95% CI 0.83–1.32), respectively (Table 1).

For tedizolid, which was not included in the NMA, the clinical cure rate (87%) was derived from ESTABLISH-2,³¹ a Phase III trial which evaluated IV tedizolid for cSSTI.

Day 3 clinical response, which was sourced from the literature, was based as meeting both cessation of infection spread (no increase in baseline lesion width or length measurement) and absence of fever (temperature ≤ 37.6°C).¹⁶ Patients who did not meet both criteria were considered non-responders. Day 3 clinical response rates for CFT (74%) and vancomycin (66.2%) were sourced by a pooled analysis of CANVAS 1 and 2 phase III RCTs,¹⁶ consistent with the clinical cure rate derivation. Linezolid’s day 3 clinical response (79.4%),³² tedizolid day 3 clinical response (79.5%)³¹ and daptomycin day 3 clinical response (86%)³³ were derived from the literature. Cloxacillin early response criteria utilized in the identified evidence in the literature was significantly different with respect to the one utilized for ceftaroline fosamil, thus hampering the possibility of direct comparison. Nevertheless, threshold analysis was performed.

Economic Inputs

Tables 1 and 2 summarize the health-care resource use and costs used in the base case analysis, along with the source and the distribution used for sensitivity analysis. The average hospital length of stay (LOS) for patients responding or not responding to initial antibiotic therapy and not discharged early (13.4 and 20.3 days respectively) was sourced from a retrospective observational study in Italy.⁹ Limited information was available to inform the base case input of the proportion of treatment responders eligible for iv-to-oral switch. Based on the available literature¹⁷ and clinical experts consultation 33.3% of patients were assumed to eligible for IV-to-oral therapy switch. Amoxicillin clavulanate (vial formulation) was selected as 2nd line antibiotic while amoxicillin clavulanate (oral formulation) was chosen as oral step-down antibiotic. Furthermore, it was assumed that all comparators except for ceftaroline fosamil may require pairing with a gram-negative antibiotic (aztreonam 1g q8hr) and that gram-negative antibiotic would be used in 33% of patients.¹⁷ Daptomycin 4mg/kg/day, cloxacillin 1g/q6hr and aztreonam 1g/q8hr dosages were the base case inputs, since they were used in the clinical trials from which the clinical inputs were derived. Nevertheless, in scenario analysis, alternative dosages of daptomycin 4–10mg/kg/day, cloxacillin 1–2g/q4-6hr and aztreonam 2g q8hr were simulated to match dosages more commonly used in clinical practice.^25–28 Finally, based on clinical experts consultation, no treatment monitoring was assumed for CFT while biochemistry and hemogram were considered for all other comparators and therapeutic drug monitoring for vancomycin only, with the frequency based on a previous cSSTI economic study.²²

Table 2 Cost Inputs Used for the Analyses

Model Assumptions

During the model development, multiple assumptions were needed to simplify the clinical pathways and enable to parametrize the model integrating data from multiple sources. Firstly, the early response rates across trials were assumed to be comparable. Secondly, the IV antibiotic treatment duration for patients not being discharged early was assumed to be the same for CFT and all the comparators considered, due to the lack of treatment specific data published in the literature. Thirdly, the 2nd line antibiotic efficacy was assumed to be 100% implying that all the patients failing initial antibiotic therapy would respond to the 2nd line treatment. Finally, the modeled early response and clinical cure rates were derived from the clinical trials and indirect treatment comparison, and assumed to represent the overall effectiveness of each antibiotic considered. Early response and clinical cure rates are likely driven by multiple factors (eg, co-morbidities, disease severity, prognostic factors) that are not explicitly modeled (eg, through risk equations linking patient baseline characteristics with the probability of response at Day 3).

Model Analyses

The health outcomes predicted by the economic model were the proportion of patients with early discharges (PDE), the percentage of patients switched to 2nd line antibiotic, the overall costs per patient and the incremental costs of CFT with respect to the alternative antibiotic treatments considered in the analysis.

Deterministic (DSA) and probabilistic (PSA) sensitivity analyses were conducted to evaluate the impact of input parameters uncertainty. DSA enabled identification of key drivers of model outcomes, by varying univariately (one parameter for each simulation) the base-case estimates within their 95% confidence interval (CI). PSA enabled to quantify the impact of joint uncertainty of the inputs parameters on the model outcomes, by simultaneously varying the model inputs over 1000 simulations.

The statistical distributions used for sensitivity analysis are summarized in Tables 1 and 2, with the beta distribution used for probabilities, and relative risks assumed to be log-normally distributed.³⁶ The hospitalization and treatment monitoring costs were varied in DSA by ±25%.

Results

The analysis results are summarized in Figure 2, with each bar representing the base case result and the confidence interval (CI) based on 1,000 probabilistic simulations (CI provided in Figure 2). CFT resulted in average PDE of 24.6% (Figure 2B) with average total cost per patient of €6,763 (Figure 2A). Vancomycin, linezolid, daptomycin and tedizolid resulted in average PDE of 22%, 26.4%, 28.6% and 26.5%, respectively (Figure 2B) for a total cost per patient of €6,619, €6,394, €6,855 and €7,173, respectively (Figure 2A). The percentage of patients switched to 2nd line antibiotic was 2.18%, 2.84%, 0.52%, 0.35% and 2.66% for CFT, vancomycin, linezolid, daptomycin and tedizolid, respectively (see Figure 2C for confidence intervals). Based on threshold analysis, cloxacillin early response rate of 50.2%–53.3% resulted in total cost neutrality vs CFT, depending on the cloxacillin dosage considered.

Figure 2 cSSTI analysis—total costs per patient (A), percentage of early discharges (B) and percentage of patients switched to 2nd line antibiotic (C) predicted by the model (based on 1,000 simulations – 95% confidence intervals estimates provided). Abbreviations: q12hr, every 12 hours; q24hr, every 24 hours.

Furthermore, the results demonstrated that the antibiotic costs account for a limited proportion of total costs (6%–17%), with hospital costs being the largest component of the total costs (>83%), as shown in Figure 3. Specifically, hospitalization costs were €6,086, €6,261, €5,919, €5,786, and €5,999, respectively, while initial antibiotic therapy costs were €676, €79, €403, €556 (€442–€998 depending on the dosage) and €1,103 for CFT, vancomycin, linezolid, daptomycin, and tedizolid, respectively. The monitoring costs were relatively large for vancomycin, (€225), while all other treatments had limited monitoring costs (<€18). Similarly, the costs of gram negative pairing were limited across comparators (€52–€54).

Figure 3 Detailed costs predicted by the model for cSSTI. Abbreviation: cSSTI, complicated skin and soft tissue infection.

The percentage of patients discharged early (Day 3) ranged between 17%–35% resulting in longer hospitalization for more than 65%–83% of the patients starting empiric antibiotic treatment, as summarized in Figure 2B.

Simulating an increased dosage for daptomycin 4–10mg/kg/day, cloxacillin 1–2g/q4-6hr and aztreonam 2g q8hr to mimic the dosages commonly used in clinical practice, had a limited effect on the overall predicted costs with <10% differences, despite the increase in initial antibiotic costs associated with the higher dosages. This is because the initial antibiotic costs account for 6%–17% of the overall costs, as described in the previous paragraph (see also Figure 3).

Finally, the deterministic sensitivity analysis (DSA) demonstrated that the probability of early (Day 3) response, the duration of antibiotic treatment and the LOS in the hospital are the main determinants of total costs, as shown in Figure 4 for CFT with respect to vancomycin. Similar results were obtained when the DSA was performed for CFT versus the other comparators.

Figure 4 Tornado diagram showing, in decreasing order, the key parameters that generated the most variation in the total incremental cost per patient, when comparing ceftaroline fosamil with vancomycin. Abbreviation: cSSTI, complicated skin and soft tissue infection.

Discussion

As described in the Introduction, selecting the right antibiotic for clinical experts remains highly challenging, especially in empiric settings.¹⁴ This analysis attempts to quantify the cost and consequences, from the Spanish NHS perspective, of using CFT or alternative antibiotics commonly used in hospitalized adults with cSSTI.

The model structure and analysis was built with the objective of comparing to agents with MRSA activity, based on available guidelines,^25–28 expert opinion, and microbiological activity of ceftaroline fosamil, noting that MRSA cannot be ruled out in the empirical treatment of cSSTI. The current model does capture step down 1) for patients responding at Day 3 and eligible for switch to oral antibiotic and early discharge or 2) for non-responders switching to a second-line antibiotic. Adaptation of the antibiotic once the culture is positive (methicillin-susceptible Staphylococcus aureus [MSSA] or polymicrobial) was not considered in the model because, after discussion with clinical experts, the microbiology results might not be readily available in clinical practice, thus patients are treated according to risk factors for having MRSA. Therefore, this analysis can be considered as a pessimistic scenario for the overall costs of treating MRSA-suspected infections, since availability of microbiology results would allow a significant proportion of patients (80% to 90% based on clinical experts) to be switched to a narrow-spectrum antibiotic (resulting in lower costs). Furthermore, in the cSSTI trials used to parametrize the model,^19,31,32 MSSA and polymicrobial infections were included (approximately 27% to 55% of patients). Therefore, the trial-based clinical cure rates used in the economic analysis include patients with MRSA, MSSA, and polymicrobial infections.

The use of ceftaroline fosamil as a treatment option was associated with comparable percentage of early discharges and overall costs with respect to the comparators included in the analyses. In the base case, as summarized in Figure 3, CFT was associated with higher initial antibiotic therapy costs with respect to vancomycin and linezolid, comparable initial antibiotic therapy costs with daptomycin (depending on the dosage considered) and lower costs than tedizolid. The CFT cost difference with respect to vancomycin in initial antibiotic therapy was partially offset by reduced hospitalization costs and monitoring costs associated with CFT. Furthermore, as highlighted in Figure 2, the overlapping of the 95% CIs generated from the probabilistic sensitivity analyses (1,000 simulations) highlighted the similarity with respect to total costs per patients and PDE with CFT as with the other antibiotics considered in the analysis.

The DSA highlighted that the most influential parameters of overall treatment costs are early response, the duration of antibiotic treatment and the duration of hospitalization, which is consistent with previous reports for cSSTI.⁹ This could suggest shifting the payers’ attention towards the overall economic burden of managing patients hospitalized with cSSTI rather than focusing on pharmacy spend alone.

As presented in Table 1, the clinical cure rate used in the analysis for CFT (91.6%) was derived from a pooled analysis of the two phase III RCTs CANVAS 1 and CANVAS 2, in the clinically evaluable (CE) population.¹⁹ A more recent systematic review and meta-analysis of CFT trials estimated CFT clinical cure rate of 89.6% in the CE population.³⁴ However, this meta-analysis also included CFT 600mg q8hr (not considered in the current analysis) and a CFT open-label study, thus focusing on CFT 600mg q12hr double blinded RCTs was preferred. Furthermore, this ensured consistency with the studies used for the network meta-analysis (NMA), from which comparative effectiveness was derived.

One key study limitation is that most of the included comparators evidence was not obtained from head to head clinical trials between the comparator and CFT. Therefore the clinical inputs needed to parametrize the model were sourced from either an indirect comparison (NMA) or directly from the available literature and validated by discussion with clinical experts.³⁰ Two alternative NMA studies available in the literature were not used, for the clinical cure rate inputs, either because only considering CFT Phase 2 trial in the network of evidence³⁵ or because the study was not available at the time of this analysis.³⁶ Nevertheless, a comparison with the current analysis inputs (Table 1) and the two alternative NMAs identified is provided. McCool et al³⁵ odds ratios of each comparator considered vs tedizolid for clinical response at test-of-cure were extracted (from Table 2 of the publication) and converted in risk ratios vs CFT using tedizolid clinical cure rate of 87% as anchor (same cure rate for tedizolid as in the current analysis – see Table 1). The resulting risk ratios derived from McCool et al³⁵ are relatively comparable with the current analysis inputs for CFT vs vancomycin (1.00 vs 1.08), linezolid (0.94 vs 1.00), daptomycin (0.94 vs 1.05) and tedizolid (1.05 vs 1.00). However, it is important to highlight that using McCool et al³⁵ estimates would have resulted in a more favorable analysis for CFT vs vancomycin, linezolid and daptomycin, with only tedizolid risk ratio being lower (1.00) than what used in the current analysis (1.05). A similar comparison was performed based on Vlachaki et al 2021 NMA results,³⁶ with the odds ratios of each comparator vs delafloxacin for composite clinical response extracted (from Figure 3 of the publication) and converted in risk ratios vs CFT using delafloxacin clinical cure rate of 87.2% as anchor (from delafloxacin Phase III trial³⁷). The risk ratios derived from Vlachaki et al³⁶ are relatively comparable with the current analysis inputs for CFT vs vancomycin (1.00 vs 1.00), linezolid (0.94 vs 1.04), daptomycin (0.94 vs 1.00) and tedizolid (1.05 vs 1.04). Similarly to McCool et al³⁵ comparison, it is important to highlight that using Vlachaki et al³⁶ estimates would have resulted in a more favorable analysis for CFT vs linezolid and vancomycin.

Multiple additional limitations need to be acknowledged for the developed model. Firstly, inclusion of cloxacillin in the base case analysis was not possible, given the significant differences in the definition of early response (Day 3) between cloxacillin and CFT clinical evidence. Secondly, treatment related serious AEs (SAEs) were not considered in the economic analysis given the relative low incidence and the similarity of SAEs across comparators.^{31,32,38–40} Therefore, this limitation is unlikely to have a strong impact on the incremental differences between the comparators considered. Thirdly, the duration of antibiotic treatment has been assumed equivalent between CFT and the other antibiotic treatments (see Table 1), given the lack of treatment specific inputs available in the literature. Since the duration of antibiotic treatment was one of the key drivers of total costs in the DSA, it might be of interest to include in the analysis treatment duration specific to each antibiotic, when these estimates will become available from real-world evidence studies. Fourthly, the antibiotic dosages used in the clinical trials may differ from those used in routine clinical practice. Therefore, multiple scenarios with increased antibiotic dosage but same clinical efficacy were evaluated, with the increase in antibiotic dosage having a limited impact on the overall model outcomes and conclusions. Fifthly, susceptibility rates were not considered into the analysis, which might be a critical factor in countries with high levels of emerging antibiotic resistance.^14,25 Specifically, different type of causative organisms (eg, Staphylococcus aureus) might affect differently the clinical efficacy of each antibiotic considered in the analysis. While modeling this aspect would require country-specific susceptibility patterns and clinical inputs stratified by causative organism, this could be of significant interest to fully capture the economic benefit of newer antibiotics such as ceftaroline fosamil. Finally, while the impact of antibiotic resistance has not been included in the current analysis, as detailed above, ceftaroline fosamil should be used in accordance with antimicrobial stewardship, as with all antibacterial agents. Furthermore, while the presented analysis focused on the current relevant treatment options from the perspective of the Spanish National Health System, new approved dosages in the future and antibiotic resistance patterns will dictate modified cost-benefit results.

While the economic analysis has limitations, as discussed above, it also as strengths which make it relevant to the Spanish NHS for inpatient treatment of cSSTI. Specifically, all key antibiotic treatments relevant for the Spanish decision problem were considered, the analysis was based on efficacy estimates derived from Phase III RCTs, which provide the largest sample size, and comparative effectiveness within the same RCT for CFT vs vancomycin was used. In addition, the results are presented probabilistically (over 1,000 simulations) to account for uncertainty in the mean estimates. Finally, the model structure used in the analysis is common to other economic models previously published in cSSTI^21,22 and in other types of infections, such as treatment for bacteremia,²³ community acquired pneumonia,⁴¹ urinary tract infections,⁴² persistent febrile neutropenia,⁴³ hospitalized influenza and intra-abdominal infections.⁴⁴ This is due to the common clinical pathways observed across different types of infections where resolution of signs and symptoms occur over a relatively short period of time. The chosen model structure allowed to focus on early response and treatment failure with consequent switch to 2nd line, given the importance of these two aspects in clinical practice.⁴⁵

Conclusion

The model results support CFT being a valid choice for cSSTI empiric therapy providing comparable percentage of early discharged patients and costs as the other commonly used antibiotics considered. Furthermore, the model results demonstrate that early response and duration of antibiotic treatment are the key drivers of total costs of managing cSSTI, with hospital costs accounting for over 83% of the total expenditures.

Availability of additional data quantifying the average treatment duration specific to each antibiotic treatment and extension of the model structure to account for switch due to microbiology availability are currently under consideration for extending and strengthening the current analysis.