FormalPara Key Points

The European Society of Clinical Microbiology and Infectious Diseases (ESCMID) PK/PD Study Group has especially convened a group of clinical and PK/PD experts to provide guidance for all relevant drug therapies for infections caused by the SARS-COV-2 virus. The underlying presents guidance at a high level of detail on the key pharmacokinetic/pharmacodynamic characteristics of drugs at the current most commonly used antiviral regimens, clinically significant drug–drug interactions, and the effect of extracorporeal therapies (e.g. renal replacement therapy, extracorporeal membrane oxygenation) on dosing requirements.

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1 Drugs Active Against SARS-CoV-2

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared a global pandemic on 11 March 2020 and has triggered enormous, unrelenting and ever-increasing demands on health systems in countries globally. The number of patients infected with this novel coronavirus escalated dramatically, with the first clinical trial for a vaccine initiated in the US on 16 March 2020. There has been an unprecedented and immediate need to define and optimize treatment for infected patients. However, the evidence for therapies against SARS-CoV-2 is inadequate, leading many medical teams to prescribe drugs based on mechanistic data with limited clinical data supporting their activity. This lack of knowledge is also manifest in highly variable doses or proposed duration of therapy for treatment. It is also noteworthy that many drugs are not uniformly available throughout the world; a therapeutic option for COVID-19 in one country may not be available in another. Inevitably, this heterogeneity of practice and accessibility may lead to patients receiving suboptimal therapy because of a lack of appropriate and readily available data for drugs that are obtainable in a particular country.

Coronaviruses commonly cause infection in non-human animal hosts, and therefore animal models might be informative to investigate drugs that may be applicable for use in humans. Along with preclinical data from animal models, there are emerging reports from in vitro cell culture models that provide information on the mechanism of action and antiviral effects of tested compounds [1]. Application of in silico modeling and simulation techniques can then advance infection model-defined exposure targets to identify doses appropriate for human use. While this process provides highly valuable direction for antiviral therapeutic selection when there is an emergent need for such drugs, these methods are analogous to those applied in the drug development process. The clinical utility of preclinically validated dosing regimens relies heavily on the available pharmacokinetic (PK) data used in the simulation process for the particular drug. That is, PK data obtained from healthy volunteers rather than the population of interest (i.e. severely ill patients with acute respiratory distress syndrome [ARDS]) may not be applicable due to differences in bioavailability for orally or subcutaneously administered drugs, and alterations in the drug’s volume of distribution (Vd) and clearance (CL) that may result in sub- or supratherapeutic exposure; therefore careful interpretation for clinical use is essential [2]

Therapeutic agents available for COVID-19 can introduce other treatment challenges, particularly drug interactions. Various compounds that have been proposed for the treatment of SARS-CoV-2 are affected by the cytochrome P450 (CYP)-metabolizing system as either substrates, enzyme inhibitors or enzyme inducers, and consideration of these interactions on dosing requirements of concomitant SARS-CoV-2 or other supportive drug therapies is essential. For instance, lopinavir/ritonavir (LPV/r) combination has strong inhibitory effects on CYP3A4 and CYP2D6, which also metabolize hydroxychloroquine (another probable agent active against SARS-CoV-2), which may result in an increase in potential toxic effects such as Torsades de pointes [3].

With the significant uncertainty regarding the choice and dose of drug therapy for patients with active COVID-19 disease, there is a clear need for a review of potential treatments and interpretation of dosing considerations to optimize treatment based on current evidence. The aim of this narrative review is to summarize available literature to guide treatment choices in clinical trials, and to inform local and national policymakers to enable clinicians to optimize the treatment regimens for patients outside trials with SARS-CoV-2 infection.

2 Search Methodology

Literature regarding the treatment of SARS-CoV-2 is highly dynamic and evolving. Many results have not yet been published in their final form. In order to allow for a fast evaluation of the most relevant treatment practices at hospitals worldwide, the PK/PD of Anti-Infective Study Group (EPASG) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) established rapid communication by social media channels. In addition, the World Health Organization website was evaluated for reports pertinent to our review, including preprints [4]

Once the drugs of interest were identified (Table 1) their PK/pharmacodynamic (PK/PD) characteristics were summarized (Table 2). Subsequently, we searched databases to identify single and combination therapies being evaluated in clinical trials. Searches of the PubMed and Embase databases (no date limits) were then performed using the search strategy ‘(drug name) AND (coronavirus)’ to identify clinical trials, retrospective clinical studies, and animal or in vitro studies on the drug therapies (Table 3). In addition, information on drug–drug interactions (DDIs) was extracted [5]. Teams of at least three authors extracted and agreed upon data presented in each table. We deliberately excluded analysis of combinations with remdesivir since the currently open trials investigate only monotherapy.

Table 1 Antivirals and supportive drugs used to treat COVID-19
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Table 2 PK/PD of antivirals and other drugs used to treat COVID-19
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Table 3 Drug–drug interactions of proposed antiviral combinations against coronavirus
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Because COVID-19 requires intensive care treatment in up to 10% of infected patients, electronic supplementary Table 1 presents the most commonly used supportive drugs, while electronic supplementary Table 2 presents the potential interactions of these drugs with antivirals. Unless specifically stated, the Summary of Product characteristics (SmPC) or package leaflets of medications have been used as the basis for the assessment of DDIs. These interactions are also constantly updated on online platforms, such as the COVID-19 drug interaction webpage maintained by the University of Liverpool [3]. Extracorporeal support treatments might also be necessary for critically ill patients with COVID-19 and, as such, in Table 4 we describe the influence of extracorporeal support treatments on antiviral PK.

Table 4 Expected PK of the antivirals used to treat COVID-19 with extracorporeal support treatments
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3 List of experimental antiviral agents explored for treatment of Covid 19

3.1 Antiviral Agents for the Treatment of COVID-19

Table 1 contains general information about the key drugs currently suggested for the treatment of COVID-19. Most agents were originally approved for the treatment of other viral infections. The exception is (hydroxy)chloroquine, an immunomodulatory drug with known antiviral activity that has been used for over 60 years, primarily to treat malaria and, more recently, autoimmune diseases, such as systemic lupus erythematosus and inflammatory arthritis. Some of the agents listed have been studied with related viruses, such as Middle East Respiratory Syndrome (MERS) coronavirus. Most agents discussed in this article purportedly have direct mechanisms of action against SARS-CoV-2. As COVID-19 disease has emerged only recently, drugs currently being used are in various phases of clinical trials and none are approved for use in COVID-19, except for the very recent approval of remdesivir. The dosing regimens are based on current knowledge, derived from other indications, and may change in the future when new data become available. Dosing regimens in children are unavailable for most agents. In general, the heterogeneous total daily doses for drugs against COVID-19 disease are similar to, or greater than, that used for other indications.

3.2 Pharmacokinetics/Pharmacodynamics (PK/PD) of Antiviral Agents for the Treatment of COVID-19

Table 2 summarizes the data on the PK/PD properties of the agents recommended for SARS-CoV-2 and other viruses. The available data are limited and are based primarily on in vitro studies in various cell lines. Drug potency is usually presented as the half maximal effective concentration (EC50), which varies between viruses. The EC50 values for other viruses are compared against SARS-CoV-2, with a lower EC50 indicating increased potency. While EC90 is usually preferred as a therapeutic target for antivirals, it can only be inferred from EC50 when the Hill coefficient is 1 (in which case EC90 is ninefold higher than EC50). Since the Hill coefficient is not routinely reported, we used EC50 to compare the relative potencies of the antivirals reviewed.

Data on other coronaviruses have been summarized; however, where data are unavailable for coronaviruses, other pathogens are reported. For chloroquine and PegIFN-α2β, measured intracellular concentrations are correlated with the in vitro EC50 and, as such, serve as the PK/PD index [6, 7]; however, there are no studies comparing various PK/PD indices for these agents.

The EC50 values for remdesivir, chloroquine, and ribavirin against SARS-CoV-2 were compared with those of MERS. For both remdesivir and ribavirin, the EC50 values were higher than for MERS, indicating that a larger dose may be needed to treat COVID-19. The EC50 value of chloroquine was within the same range for SARS-CoV-2 and MERS. In an in vitro study, Yao et al. compared chloroquine with hydroxychloroquine and reported that hydroxychloroquine was more potent than chloroquine [7], although caution interpreting these results is warranted since different EC50 values were reported depending on whether experiments were conducted for 24 or 48 h. Since EC50 is not a time-dependent parameter, this calls into question how reliable the estimate is and how well it may translate to an in vivo target. In addition, this study has recently undergone a critical review by authors from the US FDA [8]. Furthermore, other studies have conversely found chloroquine to be more potent than hydroxychloroquine [9], and emerging data from randomized controlled trials (RCTs) [10] and large observational studies [11] suggest that both chloroquine and hydroxychloroquine result in increased mortality when used in COVID-19. While we include chloroquine and hydroxychloroquine in the summary of evidence, there is great uncertainty as to the clinical role of these drugs in hospitalized COVID-19 patients. Indeed, meanwhile, several negative studies have led to discontinuation of the use of these two drugs in many clinical studies in many countries [12, 13], yet other countries still continue to use these widely available drugs due to a lack of alternatives.

Several interferons (IFNs), including IFN-α, PegIFN-α2β, IFN-α1β and IFN-β1β, have been examined for the treatment of COVID-19; however, they are administered as adjuvant therapy with other anti-COVID-19 drugs.

The currently available data on drug efficacy and PK/PD targets for COVID-19 are inadequate to support therapeutic drug monitoring; however, some data on plasma concentrations are available in the literature (Table 2). When drug concentrations are available in the literature, it may be prudent to evaluate individual concentrations in patients in which high variability in PK combined with an increased likelihood of DDIs and adverse effects can be expected, i.e. typically critically ill patients.

A shortcoming of the data presented in Table 2 is the fact that the total concentrations of the drug were reported by the majority of papers, or information as to whether total or free concentrations were reported is not available at all. This must be taken into account when PK/PD calculations are performed, since, unusually, only the free fraction will be active.

3.3 Combination SARS-CoV-2 Antiviral Agents and Associated Drug–Drug Interactions

As there are no approved COVID-19 therapies, combination therapy against SARS-CoV-2 with agents exhibiting different modes of action may have a role in helping to optimize therapy until clinical trial data become available. This combination approach is consistent with the management of many viral, fungal, and bacterial infections where there are suboptimal single-agent treatment options. We aimed to assess the evidence of repurposed antiviral combinations that were not specifically designed to treat SARS-CoV-2.

The strongest RCT evidence exists for remdesivir, which has been shown to reduce the recovery time for moderate–severe COVID-19 in comparison with standard care (11 vs. 15 days [14]; p < 0.001). These data have now led some to declare remdesivir to be the standard of care for COVID-19 disease, even though there was no significant difference in mortality between the remdesivir and standard care groups.

Other, albeit less-compelling, data exist for LPV/r plus ribavirin therapy (retrospective, case–control study) resulting in a reduction in mortality, acute respiratory distress syndrome (ARDS), and viral shedding in the treatment of SARS (Table 3). However, extrapolating these data to SARS-CoV-2 should be undertaken with caution as LPV/r and another HIV protease inhibitor, nelfinavir, exhibit good activity against SARS [15, 16] but are less effective against MERS [17]. Another potential combination includes LPV/r, ribavirin and IFN (prospective, non-randomized, comparative controlled study), resulting in shorter duration of viral shedding and hospital stay when compared with LPV/r alone. Randomized trials involving these drugs, based on their promising in vitro activity, will provide important guidance. Of note, we warn against the use of hydroxychloroquine in combination with other drugs that may prolong the QT interval due to potentially life-threatening adverse effects [11]. In a large cohort study, all patients who received hydroxychloroquine for the treatment of pneumonia associated with COVID-19 were at high risk of QTc prolongation, but concurrent treatment with azithromycin was associated with greater changes in QTc [18]. However, since combinations of QTc-prolonging drugs do not necessarily result in additive QTc prolongation, a case-by-case evaluation seems warranted [19].

3.4 Most Commonly Used Supportive Agents (Intensive Care Unit, Pain, Fever, Anticoagulation)

Supportive care with other pharmacological agents, including antibiotics, sedatives, analgesics, and anticoagulants, need to be considered when treating with antiviral and other repurposed agents, particularly in the critical care setting. Electronic supplementary Table 1 lists the major drugs by class and highlights potential interactions. In particular, caution should be exercised for CYP3A4 DDIs with narrow therapeutic index drugs, such as anticoagulants (warfarin, acenokumarol, dabigatran, rivaroxaban, and apixaban) and immunosuppressant agents in transplant recipients in whom additional monitoring may be required. For patients sedated with midazolam, dose reduction should be considered when patients are treated with CYP3A4 inhibitors, such as LPV/r, as there is a significant risk of oversedation, resulting in unnecessary prolongation of intensive care unit (ICU) stay [20]. There are multiple potential interactions resulting in cardiac complications, including prolonged QT interval with (hydroxy)chloroquine combinations and LPV/r, that necessitate monitoring. As these DDI are substantial, the balance of risk versus benefit should be carefully considered prior to drug administration to prevent significant morbidities.

According to a preliminary report in patients hospitalized with COVID-19, dexamethasone significantly reduced 28-day mortality among those patients receiving invasive mechanical ventilation or oxygen at randomization, but not among patients not receiving respiratory support [21]. If these data hold true, at the moment corticosteroids belong to the most active intervention in patients with severe COVID-19 disease. In this aspect, it should also be noted that while dexamethasone is a potent inductor of CYP3A4 induction, this effect seems to be less relevant for the common alternative, betamethasone [22].

3.5 Interaction Between Antivirals and Supportive Drugs

The potential interactions for most drugs used to treat COVID-19, and comedications, are provided in detail in electronic supplementary Table 2. It is emphasized that not all described interactions are necessarily clinically relevant, and the ultimate decision on the need for avoiding a certain combination or dose adjustment must be taken by the treating physician.

DDIs are an important consideration for all therapies used to treat COVID-19. This is especially the case with repurposed antiretroviral drugs and (hydroxy)chloroquine, which have many potential DDIs. Clinicians treating patients infected with SARS-CoV-2 need to carefully consider the potential for DDIs before commencing therapy. Many DDIs may be mitigated by simple measures such as continuous electrocardiogram (ECG) monitoring or by having maximum allowable QT intervals (e.g. 450 ms) for the interacting combinations to be used. The ritonavir component of LPV/r is deliberately used to inhibit CYP3A4 and thereby increase antiretroviral drug concentrations; however, this leads to a significant potential to increase concentrations of other coadministered therapies that are CYP3A4 substrates. Notably, the interaction between (hydroxy)chloroquine and other agents that may inhibit drug CL can result in cardiac toxicity and patients should be monitored closely. Based on the long half-life of (hydroxy)chloroquine (in the magnitude of several weeks), interactions might persist for several days after treatment has ceased. This may be especially problematic in critically ill patients with pre-existing cardiovascular morbidity, and extreme caution should be observed. The use of triazole antifungals should be avoided or carefully monitored if administered concurrently with LPV/r due to DDIs. Potential DDIs are reported between either LPV/r and important drugs commonly used in the critical care setting, including ketamine, rocuronium, and many of the opioid agents. Utmost care is required when considering the coadministration of these agents with antiretroviral drugs in critically ill patients. The newer investigational antiviral agents, remdesivir and favipiravir, appear to have a lower potential for DDIs; however, the main concern with their use is decreased concentrations if coadministered with enzyme inducers. (Hydroxy)chloroquine may prolong the QT interval, therefore ECG monitoring is required when they are coadministered with other agents known to cause QT interval prolongation. Coadministration of (hydroxy)chloroquine with drugs that are known to prolong the QT interval, such as amiodarone and flecanide, is not recommended. However, clinical experience with these drugs is much less than the repurposed antiretrovirals. A comprehensive and evolving DDI database has been created by the University of Liverpool and this should be consulted for potential DDIs not covered in our review [3].

3.6 The Effect of Extracorporeal Treatments on the PK of COVID-19 Therapies

Systemic inflammatory response syndrome (SIRS) may occur with the use of extracorporeal treatments, and may cause alterations in CYP‐mediated metabolism. SIRS increases activity of all CYPs, except CYP3A4, which decreases. In children, CYP enzymes are commonly immature in neonates and take time to reach similar activity levels as adults [23]. In this section, as well as in Table 4, we summarize the principles of PK alterations that occur with extracorporeal membrane oxygenation (ECMO) and renal replacement therapy (RRT) to impact drug exposure and thereby dose. Although limited studies have been conducted on COVID-19 therapies, optimized dosing should consider these potential impacts on individual patients.

3.7 The Impact of Extracorporeal Membrane Oxygenation

The most common mechanisms by which ECMO is likely to affect the PK of drugs are sequestration by the oxygenator and tubing in the ECMO circuit, leading to reduced circulating drug concentrations [23]. While lipophilic drugs and highly protein-bound drugs are more likely to be sequestered in the circuit, hydrophilic drugs can be significantly affected by hemodilution and changes in albumin concentration, potentially leading to altered protein binding and an increased Vd. Indeed, an increased free fraction means more distribution from the central compartment into the peripheral compartments (i.e. tissues), leading to an increased apparent Vd [24]

3.8 The Impact of Renal Replacement Therapy

Sepsis-related acute kidney injury often develops in the context of multiple organ dysfunction syndrome and leads to relevant modifications of several PK parameters. Moreover, high volumes of fluid resuscitation, commonly required in critically ill patients [25], may significantly affect the Vd of several drugs [26]. When Vd of a drug is typically small since the drug is mostly retained in the intravascular compartment (where protein binding is high), clinically significant removal of small drugs by RRT is unlikely. Where Vd is < 1.0 L/kg and protein binding is not high (> 80%), the commencement of RRT adds further complexities for dosing, with possible extracorporeal CL. Renally excreted drugs are usually affected by RRT to a much greater extent than hepatically excreted drugs [27]. Only the free (i.e. unbound) drug is cleared across the RRT filter. With the exception of a few drugs, the molecular weight (MW) of the most commonly used antimicrobial agents is lower than 1000 Da and plays a key role, especially in diffusive RRT modalities, as the sieving coefficient (SC) of a molecule is inversely proportional to MW. The SC is generally similar for drugs with a MW around 1000–1500 Da in convective modalities. However, in diffusive techniques, the ratio of dialysate to plasma solute concentration (saturation coefficient [SA]) is more strictly dependent on MW and tends to decrease progressively as MW increases [28]. Whereas intermittent hemodialysis (IHD) or continuous venovenous hemodialysis (CVVHD) are essentially diffusive techniques, continuous venovenous hemofiltration (CVVH) is a convective technique, and continuous venovenous hemodiafiltration (CVVHDF) is a combination of both. As a general rule, the efficiency of drug removal by the different techniques is expected to be CVVHDF > CVVH > CVVHD/IHD, but this can still vary greatly depending on the physicochemical properties of each drug and the CRRT settings [29]. Dialyzer membrane characteristics (cut-off) may also play a key role.

3.9 PK Data of Drugs Active Against SARS-CoV-2

Table 4 extrapolates basic drug physicochemistry and known PK data to predict the likely effects of ECMO on PK. Sparse data on the IHD CL of (hydroxy)chloroquine are available and suggest that the high Vd of (hydroxy)chloroquine limits significant alteration in drug concentrations [30]. As such, ECMO is predicted to have minimal impact on the drug concentrations of (hydroxy)chloroquine, although sequestration onto the oxygenator and circuit tubing cannot be excluded. There is also the hypothesis that (hydroxy)chloroquine rapidly partitions intracellularly, potentially resulting in minor effects overall and in the vascular compartment [25]. The PK of LPV/r in hemodialysis suggests that dosing adjustments are unnecessary in treatment-naive patients, in part due to the high protein binding of these drugs [31]. CVVH has no clinically relevant contribution to total CL of favipiravir [32]. For ribavirin, CL was reduced by 50% via IHD [33], which is not considered significant enough to justify increasing the dose based on increases in dialysate or RRT filtration flow rate [34]. No significant effect of RRT on IFN concentrations is predicted due to the MW of the IFN compounds which usually exceeds 15 kDa [35, 36].

4 Discussion

We have provided an in-depth rapid review on the preclinical and clinical antiviral treatment options for SARS-CoV-2. It should be emphasized that although the approach in the current review is pragmatic to allow for real-time assessment of international practice, it cannot guarantee that all experimental combinations have been captured. However, the therapeutic investigations for COVID-19 are highly dynamic and almost daily new treatment options are empirically tested in clinical practice globally. More importantly, the quality of data regarding the safe and effective use of treatment options are generally poor and strong recommendations cannot be provided regarding the superiority of one treatment or combination over another. It is clear with absolute certainty that robust controlled clinical trials are imperative. Such studies must use either clinical endpoints (demonstrating a benefit in how the patient feels, functions, or survives) or improving meaningful biomarker performance such as time of viral shedding. Regarding the study design, randomization, blinding, and an appropriate control (either a comparator that has been proven effective or placebo) are recommended. Meanwhile, all antiviral therapies should be used with caution due to the significant drug interactions, risk for adverse events, and the need to evaluate optimal doses for treating mild versus serious infections.

All drugs presented in Table 1 should be seen as possible treatment options for patients with, or very likely to develop, a critical COVID-19 disease despite no strong recommendations being available. We found that PK/PD indices indicate that many of the currently used treatment regimens fail to achieve sufficient concentrations when EC50 values are compared with plasma PK, which might partially explain limited clinical success of these combinations. Before investigation of any new combination empirically, PK/PD models with Monte Carlo simulations should be used to predict success and, wherever possible, integrate an adaptive design to also account for tolerability. Failure to develop these models might lead to suboptimal drug exposure in patients, resulting in erroneous omission of therapeutic options before exploring their full potential.

Relevant DDIs exist both between combinations of antivirals and between antivirals and supportive therapies. Since many of the combinations have not been widely used in the ICU, healthcare providers should be alerted to closely monitor for DDIs. With the omnipresent work overload related to the COVID-19 crisis within hospitals and ICUs, applications (apps) or programs should be developed to support real-time clinical decisions and dose adaption.

A recent study of LPV/r showed no effect against SARS-CoV-2 [37] but this conclusion should be interpreted with caution. Only 199 patients were randomized and the nonsignificant trend showed a 5.8% decrease in mortality with LPV/r versus no treatment. If this is the true effect size, a larger sample size is required. Furthermore, the high overall mortality reported in this study suggests that these patients had severe disease, and the late initiation of therapy (i.e. within 12 days after the onset of symptoms) may have affected the results. As such, the clinical benefit of early initiation of LPV/r monotherapy should be further investigated. The clinical trials of SARS or MERS evaluated LPV/r in combination with ribavirin, rather than as monotherapy. Lopinavir and ribavirin have been found to be synergistic in vitro against SARS [15], and, more importantly, the combination of LPV/r and ribavirin reduced mortality and viral shedding when compared with historical controls [15]. Another study in SARS reported that early initiation of combination therapy consisting of LPV/r plus ribavirin, compared with historical controls treated with ribavirin alone, significantly reduced mortality and the need for ventilation; notably, there was no effect with delayed or late therapy [38]. Extrapolating these data to SARS-CoV-2 should be taken with caution since LPV and the protease inhibitor nelfinavir appears to exhibit good activity against SARS [16] but is less effective against MERS [17]. Nonetheless, LPV/r, ribavirin and IFN combinations should be investigated for in vitro synergy against SARS-CoV-2, and considered for clinical evaluation if the results are promising. One open-label RCT comparing LPV/r plus inhaled IFN-β plus ribavirin against LPV/r in SARS-CoV-2-positive patients reported a significantly shorter time from start of treatment to negative nasopharyngeal swab, and shorter duration of hospitalization, when compared with the control group. Of note, we advise against the use of combinations of hydroxychloroquine with azithromycin due to emerging safety issues with this drug combination, in particular increased risk for QTc prolongation [18].

In summary, there are promising therapeutic options for COVID-19 in the absence of a vaccine at present. The encouraging RCT results for remdesivir provide some direction for the treatment of COVID-19 patients and has led to positive evaluation of the drug for severe forms of COVID-19 by the European Medicines Agency and the FDA. Further to this, it is highly likely that one or more other agents mentioned in this review, or, more plausibly, a combination, may emerge as a prophylactic or early treatment option with the potential to decrease viral shedding and transmission and/or reduce disease progression to the requirement of ventilatory support.

From a PK/PD perspective, the development should not only focus on the discovery of new treatment options but should also investigate common key aspects of treatment, particularly the following.

  • When is the optimal time point to start antiviral therapy, what is the required duration, and when is it too late to initiate treatment?

  • In line with the open questions regarding dexamethasone, when is it time to start anti-inflammatory drugs and which biomarkers can we use to tailor this therapy?

  • What role can the individualization of therapy based on dose adaption and therapeutic drug monitoring (TDM) play in the treatment of COVID-19?

Meanwhile, due to the lack of highly effective and sufficiently evaluated treatment options, the most important strategy currently is avoidance of infection by the implementation of optimal public health measures that incorporate appropriate handwashing and social distancing. Furthermore, the use of rapid diagnostic tests to identify silent carriers, along with active disease, and the availability of personal protective equipment to protect from transmission, are critical to limit the massive spread of infection. Lastly, the development of vaccines (in which a clinical trial has been initiated in the US) is vital to immediately protect individual immunity and our global community long-term.