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      Impact of a Global Pandemic on Health Technology Assessment

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          Abstract

          Unprecedented Times The COVID-19 pandemic will have unprecedented impacts on individuals, healthcare systems and economies worldwide. The exponential growth of infected individuals [1] will soon be matched by the growth rate of scientific literature [2] on: the disease mechanism [3], transmission dynamics [4], prevention strategies [5], treatment [6], consequences for other diseases and their management [7], other health and/or social impacts [8], public health impacts [9, 10] and the economic impacts [11]. As healthcare systems turn their entire attention to ‘fighting this war’ [12], it will not be without casualties in other parts of the system. This commentary offers some insights on what the COVID-19 pandemic specifically means for health technology assessment (HTA) given the extreme measures that governments have taken to ‘flatten the curve’ and treat the affected. COVID-19 will change life as we know it, but as we adapt so will our approach and it is likely that HTA will similarly adapt to this shock. Health Systems: Crisis Precipitates Change Caring for people with COVID-19 has overwhelmed hospitals and health centres: there are capacity constraints on the number of critical care beds, the number of ventilators, and the ability to test for active infection with the virus and evidence of antibodies reflecting previous infection. Worldwide healthcare systems have responded with an ‘all hands on deck’ approach. Clinicians, nurses, allied health and public health professionals, students, and retired staff are being retrained and deployed to join the frontline in the face of increased patient numbers and absences among healthcare workers. Routine non-urgent surgery and outpatient appointments have been postponed or cancelled [13, 14] and clinicians are using telemedicine to provide care remotely [15]. This is to minimise transmission in the public, to protect the healthcare workforce and to manage staff shortages. Clinical Trials in Lockdown A consequence of this is that most clinical trials and other research involving patients and healthcare professionals, not directly related to COVID-19 (e.g. RECOVERY [16]), have been suspended [17]. There is little if any enrolment into new studies, other than those directly related to COVID-19, and follow-up of patients on current trials will be curtailed or adapted. Both the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have issued guidance on what study sponsors should do if protocol deviations are required to ensure patient safety while preserving study integrity and the quality of the data [18, 19]. Amendments to protocols may involve alternatives to in-person visits for patient evaluations including phone or virtual visits or locations other than hospitals or health centres. Depending on the extent and the duration of the pandemic, clinical trials that are not specific to COVID-19 prevention, testing or treatment will face increasing difficulties. This will mean that any resulting evidence base will be uncertain, trials may not be powered appropriately if they did not recruit the required sample size, there will likely be more missing data than normal owing either to a loss of follow-up or for example patient notes being held in a locked down building, and clinical measures may be replaced with patient-reported outcome measures. The implications of this situation includes missing real treatment effects for underpowered studies, or erroneously declaring a treatment effective based on a surrogate endpoint. Research and Development in Hiatus Different countries (including different states within countries) are taking different approaches to limiting the spread of the virus; at the time of writing, ~ 25% of the world’s population is effectively in lockdown. For example, in the San Francisco Bay area, a ‘shelter in place’ order restricts individuals to their homes, but allows for people involved in ‘health care operations’, including the employees of biotech and pharmaceutical companies, to travel [20]. Government guidance aside, many companies acted early and self-imposed social distancing and remote working on their employees if their roles allowed it; for example, the only research that can take place on University College London campuses is that which is in the immediate national interest, i.e. research on COVID-19 [21]. Pharmaceutical and medical technology companies are also prioritising their research and development towards COVID-19, working on diagnostic tests, vaccines and/or therapies [22]. Given this and that most new technologies are developed onsite in laboratories, COVID-19 will likely impact the development of future technologies. Delays this year in discoveries and initial experiments may not be evident until a decade later given the length of time to get innovations to market. A further impact of COVID-19 is that COVID-19 studies have inundated many research ethics committees, and these are taking priority over other research projects (personal communication). It is also likely that these committees may be under-resourced if clinically trained members have been redeployed. Approval and Launch Delays In the short to medium term, COVID-19 may delay both technology approvals and the launch of products. Just as many people have adjusted to working remotely, regulators and HTA committees will similarly need to adjust if they are to continue to sit. These committees, like research ethics committees, will also be under-resourced as many members are clinicians, public health or allied health professionals. When committees do meet, they will need to be quorate and may require in camera sessions because of confidential discussions regarding price. There has been quick uptake of videoconferencing software, but there are some concerns regarding the security of these platforms [23]. Additionally, it may be that there is less patient participation in these virtual HTA committees, those with certain medical conditions and possibly individuals without computer skills may not be able to participate in the same manner that they would when in a face-to-face meeting. The FDA and EMA have both provided guidance to sponsors regarding ongoing trials and the initiation of new trials, but it is still too early to understand what these changes will mean when sponsors begin the process of regulatory approval and licencing. One assumes that there will be some leniency: perhaps patient-reported outcome measures will gain favour over clinical outcome measures [24], or the agencies will be more amenable to deviations from published statistical analysis plans and will need to accept alternative statistical analyses [25]. With respect to committee meetings, the FDA are cancelling or postponing all non-essential meetings in April although they have expressed a willingness to using virtual advisory committees [26], while the EMA announced in early March that EMA committees and working parties will be held virtually until the end of April 2020 [27]. Another, more significant, regulatory postponement is the proposal from the European Commission to postpone the enforcement of the Medical Device Regulation (European Union) 2017/745, which was to have been imposed from 26 May, 2020 [28]. The reasoning is that fewer resources are available to implement the regulation, and there is a more urgent need for the industry to focus on tackling COVID-19. Effectively, this means prioritising COVID-19 at the expense of more rigorous requirements on medical devices, including the requirement of more clinical evidence. HTA agencies are also refocusing their activities to prioritise COVID-19, for example, the National Institute for Health and Care Excellence (NICE) has produced rapid guidelines (N = 12 as of mid-April) and evidence summaries. Notably, NICE “were advised cost was not an issue [when producing guidelines] only what’s best for the service.” (Gillian Leng, NICE Chief Executive, [29]). NICE’s fee-based consultancy service to industry has chosen to offer free scientific fast-track advice for companies developing novel diagnostic, therapeutic and digital health technologies for COVID-19 [30]. With respect to other guidance and guidelines, during the pandemic NICE has decided to publish only work that is either therapeutically critical (this includes cancer medicines, except cancer drugs fund reviews and a small number on non-cancer medicines) or that relates to addressing COVID-19 diagnostic or therapeutic interventions, to avoid distracting the National Health Service (NHS) [31]. Like regulatory agencies, HTA committees may also need to accept alternative analytical approaches where, because of COVID-19, there are missing data [32] or censored data [33]. NICE has recently delayed its timelines for their methods and process review (personal e-mail communication), thereby allowing the UK Department of Health and Social Care and NHS England to prioritise their response to COVID-19. Even when pharmaceutical companies receive regulatory and market access approvals, there may still be delays in launching technologies. Companies’ planned approaches to launch prior to COVID-19 are unlikely to apply in a post-COVID healthcare system. Priorities and methods of working will have changed, and this may include how companies engage with healthcare professionals (current social distancing rules mean this is not in person), and how healthcare professionals engage with patients. Depending on the extent of the pandemic, the way we deliver healthcare could change; there may be a stronger push to deliver care at home and to use digital technologies. Health Technology Assessment for COVID-19 Therapies It would be amiss to discuss the impact of a pandemic on HTA without discussing the assessment of COVID-19 therapies. While NICE COVID-19 guidelines appear to have been issued devoid of formal economic appraisals, it would be unusual for policy makers to adopt treatments and preventative approaches without assessing both effectiveness and cost effectiveness. Different HTA agencies have different levels of oversight, for example, in Australia and New Zealand, the Pharmaceutical Benefits Advisory Committee and Pharmaceutical Management Agency (PHARMAC), respectively, review both pharmaceuticals and vaccines, but in the UK, NICE reviews pharmaceuticals while the Joint Committee on Vaccination and Immunisation (JCVI) assesses vaccines [34]. This introduces the potential for different agencies to apply different standards to the many COVID-19 interventions; indeed, NICE has different reference cases for public health interventions and health technologies. Methods aside, policy makers need economic evidence on both costs and outcomes. As of early April, there were 366 COVID-19 studies registered worldwide [35]. A review of several registered clinical trials suggests that few appear to be designed to investigate efficacy [36] and our own search of the European Union Clinical Trials Register (www.clinicaltrialsregister.eu) and ClinicalTrials.gov (www.clinicaltrials.gov) identified no COVID-19 studies that appear to be explicitly collecting resource use, cost or quality-of-life data. Health economists are no strangers to modelling and extrapolating trial data, or making and testing assumptions to undertake HTAs (see [37] for a COVID-19 modelling example); but assumptions should never replace the opportunity to collect actual data, particularly to go beyond clinical outcomes of hospitalisations to consider quality-adjusted life-years (QALYs). Early HTA can inform research and development during the initial stages of clinical research — potentially important with so many competing treatments being trialled — and help address uncertainty [38]. It is likely that such therapies will be fast tracked through any HTA process (and thereby delay other topics), but faster appraisal may mean drugs are approved that are neither clinically nor cost effective, or there is a greater chance of a negative recommendation as the committee considers there are too many uncertainties. It is also worth positing whether these COVID-19 prevention, testing or treatment strategies will be assessed against the usual cost-effectiveness threshold? Current prevention and testing strategies have not been evaluated to this degree (as far as we are aware), and perhaps the middle of a pandemic is not the best time to debate the value of life. What has become evident is that there are clear opportunity costs of addressing the COVID-19 pandemic, in terms of diverting resources from other diseases with undocumented consequences [39]. Adapting to a New Normal When we do return to a ‘new normal’, an obvious question to ask is whether healthcare systems will have money to make decisions about whether to adopt health technologies. The majority of investment in COVID-19 has to date been new funding, i.e. not at the expense of the current healthcare budget although arguably at the expense of the wider economy. This and the various stimulus packages that have been announced globally are the result of quantitative easing and/or government borrowing. In the short run, these stimulus packages will allow the economy and healthcare systems to function, but a global recession is highly likely, and consumer and business confidence will take a hit. Venture capital funding may be difficult to secure, which will add challenges for the life sciences sector bringing new innovations to market. Governments often adopt HTA to support cost containment during economic crises to aid financial sustainability [40]. Therefore, a well-functioning HTA system (as many countries have) will be critical. What is not clear is whether governments will constrain the budgets of HTA agencies, which would be reflected in part in them facing a lower threshold of cost effectiveness. Given the perceived inflexibility across countries of the threshold [41, 42], and the disconnect between adoption decisions and budget impact (for example, NICE does not face the opportunity cost of its decisions, NHS England does [43]) it may be that HTA needs to focus its efforts on ‘technology management’ rather than ‘technology adoption’ and evaluate divesting in inefficient services or low-value healthcare [44]. Alternatively, HTA agencies in response to financial uncertainty may become more risk averse, which could be further magnified given the evidence base they will evaluate may be more uncertain because of the current disruption to clinical trials. It may be that faced with such a situation, HTA agencies and other healthcare funders will rely more heavily on other coverage decision approaches such as risk sharing arrangements or managed access schemes [45]. These innovative market access policies may be accompanied by innovations in pricing arrangements, including outcome-based payments [46], thereby promoting patient access despite the uncertainty in the evidence base and an aversion to risk at times of financial crisis [47]. There are many news articles on how COVID-19 will change the world [48], including that we cannot go back to normal [49]. Undoubtedly this is true. Our healthcare systems are changing rapidly, and our means of undertaking assessments of value will also need to change. HTA is not immune to COVID-19, but it can and will adapt.

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          Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

          Summary Background In late December, 2019, patients presenting with viral pneumonia due to an unidentified microbial agent were reported in Wuhan, China. A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV). As of Jan 26, 2020, more than 2000 cases of 2019-nCoV infection have been confirmed, most of which involved people living in or visiting Wuhan, and human-to-human transmission has been confirmed. Methods We did next-generation sequencing of samples from bronchoalveolar lavage fluid and cultured isolates from nine inpatients, eight of whom had visited the Huanan seafood market in Wuhan. Complete and partial 2019-nCoV genome sequences were obtained from these individuals. Viral contigs were connected using Sanger sequencing to obtain the full-length genomes, with the terminal regions determined by rapid amplification of cDNA ends. Phylogenetic analysis of these 2019-nCoV genomes and those of other coronaviruses was used to determine the evolutionary history of the virus and help infer its likely origin. Homology modelling was done to explore the likely receptor-binding properties of the virus. Findings The ten genome sequences of 2019-nCoV obtained from the nine patients were extremely similar, exhibiting more than 99·98% sequence identity. Notably, 2019-nCoV was closely related (with 88% identity) to two bat-derived severe acute respiratory syndrome (SARS)-like coronaviruses, bat-SL-CoVZC45 and bat-SL-CoVZXC21, collected in 2018 in Zhoushan, eastern China, but were more distant from SARS-CoV (about 79%) and MERS-CoV (about 50%). Phylogenetic analysis revealed that 2019-nCoV fell within the subgenus Sarbecovirus of the genus Betacoronavirus, with a relatively long branch length to its closest relatives bat-SL-CoVZC45 and bat-SL-CoVZXC21, and was genetically distinct from SARS-CoV. Notably, homology modelling revealed that 2019-nCoV had a similar receptor-binding domain structure to that of SARS-CoV, despite amino acid variation at some key residues. Interpretation 2019-nCoV is sufficiently divergent from SARS-CoV to be considered a new human-infecting betacoronavirus. Although our phylogenetic analysis suggests that bats might be the original host of this virus, an animal sold at the seafood market in Wuhan might represent an intermediate host facilitating the emergence of the virus in humans. Importantly, structural analysis suggests that 2019-nCoV might be able to bind to the angiotensin-converting enzyme 2 receptor in humans. The future evolution, adaptation, and spread of this virus warrant urgent investigation. Funding National Key Research and Development Program of China, National Major Project for Control and Prevention of Infectious Disease in China, Chinese Academy of Sciences, Shandong First Medical University.
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            Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro

            Dear Editor, In December 2019, a novel pneumonia caused by a previously unknown pathogen emerged in Wuhan, a city of 11 million people in central China. The initial cases were linked to exposures in a seafood market in Wuhan. 1 As of January 27, 2020, the Chinese authorities reported 2835 confirmed cases in mainland China, including 81 deaths. Additionally, 19 confirmed cases were identified in Hong Kong, Macao and Taiwan, and 39 imported cases were identified in Thailand, Japan, South Korea, United States, Vietnam, Singapore, Nepal, France, Australia and Canada. The pathogen was soon identified as a novel coronavirus (2019-nCoV), which is closely related to sever acute respiratory syndrome CoV (SARS-CoV). 2 Currently, there is no specific treatment against the new virus. Therefore, identifying effective antiviral agents to combat the disease is urgently needed. An efficient approach to drug discovery is to test whether the existing antiviral drugs are effective in treating related viral infections. The 2019-nCoV belongs to Betacoronavirus which also contains SARS-CoV and Middle East respiratory syndrome CoV (MERS-CoV). Several drugs, such as ribavirin, interferon, lopinavir-ritonavir, corticosteroids, have been used in patients with SARS or MERS, although the efficacy of some drugs remains controversial. 3 In this study, we evaluated the antiviral efficiency of five FAD-approved drugs including ribavirin, penciclovir, nitazoxanide, nafamostat, chloroquine and two well-known broad-spectrum antiviral drugs remdesivir (GS-5734) and favipiravir (T-705) against a clinical isolate of 2019-nCoV in vitro. Standard assays were carried out to measure the effects of these compounds on the cytotoxicity, virus yield and infection rates of 2019-nCoVs. Firstly, the cytotoxicity of the candidate compounds in Vero E6 cells (ATCC-1586) was determined by the CCK8 assay. Then, Vero E6 cells were infected with nCoV-2019BetaCoV/Wuhan/WIV04/2019 2 at a multiplicity of infection (MOI) of 0.05 in the presence of varying concentrations of the test drugs. DMSO was used in the controls. Efficacies were evaluated by quantification of viral copy numbers in the cell supernatant via quantitative real-time RT-PCR (qRT-PCR) and confirmed with visualization of virus nucleoprotein (NP) expression through immunofluorescence microscopy at 48 h post infection (p.i.) (cytopathic effect was not obvious at this time point of infection). Among the seven tested drugs, high concentrations of three nucleoside analogs including ribavirin (half-maximal effective concentration (EC50) = 109.50 μM, half-cytotoxic concentration (CC50) > 400 μM, selectivity index (SI) > 3.65), penciclovir (EC50 = 95.96 μM, CC50 > 400 μM, SI > 4.17) and favipiravir (EC50 = 61.88 μM, CC50 > 400 μM, SI > 6.46) were required to reduce the viral infection (Fig. 1a and Supplementary information, Fig. S1). However, favipiravir has been shown to be 100% effective in protecting mice against Ebola virus challenge, although its EC50 value in Vero E6 cells was as high as 67 μM, 4 suggesting further in vivo studies are recommended to evaluate this antiviral nucleoside. Nafamostat, a potent inhibitor of MERS-CoV, which prevents membrane fusion, was inhibitive against the 2019-nCoV infection (EC50 = 22.50 μM, CC50 > 100 μM, SI > 4.44). Nitazoxanide, a commercial antiprotozoal agent with an antiviral potential against a broad range of viruses including human and animal coronaviruses, inhibited the 2019-nCoV at a low-micromolar concentration (EC50 = 2.12 μM; CC50 > 35.53 μM; SI > 16.76). Further in vivo evaluation of this drug against 2019-nCoV infection is recommended. Notably, two compounds remdesivir (EC50 = 0.77 μM; CC50 > 100 μM; SI > 129.87) and chloroquine (EC50 = 1.13 μM; CC50 > 100 μM, SI > 88.50) potently blocked virus infection at low-micromolar concentration and showed high SI (Fig. 1a, b). Fig. 1 The antiviral activities of the test drugs against 2019-nCoV in vitro. a Vero E6 cells were infected with 2019-nCoV at an MOI of 0.05 in the treatment of different doses of the indicated antivirals for 48 h. The viral yield in the cell supernatant was then quantified by qRT-PCR. Cytotoxicity of these drugs to Vero E6 cells was measured by CCK-8 assays. The left and right Y-axis of the graphs represent mean % inhibition of virus yield and cytotoxicity of the drugs, respectively. The experiments were done in triplicates. b Immunofluorescence microscopy of virus infection upon treatment of remdesivir and chloroquine. Virus infection and drug treatment were performed as mentioned above. At 48 h p.i., the infected cells were fixed, and then probed with rabbit sera against the NP of a bat SARS-related CoV 2 as the primary antibody and Alexa 488-labeled goat anti-rabbit IgG (1:500; Abcam) as the secondary antibody, respectively. The nuclei were stained with Hoechst dye. Bars, 100 μm. c and d Time-of-addition experiment of remdesivir and chloroquine. For “Full-time” treatment, Vero E6 cells were pre-treated with the drugs for 1 h, and virus was then added to allow attachment for 2 h. Afterwards, the virus–drug mixture was removed, and the cells were cultured with drug-containing medium until the end of the experiment. For “Entry” treatment, the drugs were added to the cells for 1 h before viral attachment, and at 2 h p.i., the virus–drug mixture was replaced with fresh culture medium and maintained till the end of the experiment. For “Post-entry” experiment, drugs were added at 2 h p.i., and maintained until the end of the experiment. For all the experimental groups, cells were infected with 2019-nCoV at an MOI of 0.05, and virus yield in the infected cell supernatants was quantified by qRT-PCR c and NP expression in infected cells was analyzed by Western blot d at 14 h p.i. Remdesivir has been recently recognized as a promising antiviral drug against a wide array of RNA viruses (including SARS/MERS-CoV 5 ) infection in cultured cells, mice and nonhuman primate (NHP) models. It is currently under clinical development for the treatment of Ebola virus infection. 6 Remdesivir is an adenosine analogue, which incorporates into nascent viral RNA chains and results in pre-mature termination. 7 Our time-of-addition assay showed remdesivir functioned at a stage post virus entry (Fig. 1c, d), which is in agreement with its putative anti-viral mechanism as a nucleotide analogue. Warren et al. showed that in NHP model, intravenous administration of 10 mg/kg dose of remdesivir resulted in concomitant persistent levels of its active form in the blood (10 μM) and conferred 100% protection against Ebola virus infection. 7 Our data showed that EC90 value of remdesivir against 2019-nCoV in Vero E6 cells was 1.76 μM, suggesting its working concentration is likely to be achieved in NHP. Our preliminary data (Supplementary information, Fig. S2) showed that remdesivir also inhibited virus infection efficiently in a human cell line (human liver cancer Huh-7 cells), which is sensitive to 2019-nCoV. 2 Chloroquine, a widely-used anti-malarial and autoimmune disease drug, has recently been reported as a potential broad-spectrum antiviral drug. 8,9 Chloroquine is known to block virus infection by increasing endosomal pH required for virus/cell fusion, as well as interfering with the glycosylation of cellular receptors of SARS-CoV. 10 Our time-of-addition assay demonstrated that chloroquine functioned at both entry, and at post-entry stages of the 2019-nCoV infection in Vero E6 cells (Fig. 1c, d). Besides its antiviral activity, chloroquine has an immune-modulating activity, which may synergistically enhance its antiviral effect in vivo. Chloroquine is widely distributed in the whole body, including lung, after oral administration. The EC90 value of chloroquine against the 2019-nCoV in Vero E6 cells was 6.90 μM, which can be clinically achievable as demonstrated in the plasma of rheumatoid arthritis patients who received 500 mg administration. 11 Chloroquine is a cheap and a safe drug that has been used for more than 70 years and, therefore, it is potentially clinically applicable against the 2019-nCoV. Our findings reveal that remdesivir and chloroquine are highly effective in the control of 2019-nCoV infection in vitro. Since these compounds have been used in human patients with a safety track record and shown to be effective against various ailments, we suggest that they should be assessed in human patients suffering from the novel coronavirus disease. Supplementary information Supplementary information, Materials and Figures
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              Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection?

              The most distinctive comorbidities of 32 non-survivors from a group of 52 intensive care unit patients with novel coronavirus disease 2019 (COVID-19) in the study by Xiaobo Yang and colleagues 1 were cerebrovascular diseases (22%) and diabetes (22%). Another study 2 included 1099 patients with confirmed COVID-19, of whom 173 had severe disease with comorbidities of hypertension (23·7%), diabetes mellitus (16·2%), coronary heart diseases (5·8%), and cerebrovascular disease (2·3%). In a third study, 3 of 140 patients who were admitted to hospital with COVID-19, 30% had hypertension and 12% had diabetes. Notably, the most frequent comorbidities reported in these three studies of patients with COVID-19 are often treated with angiotensin-converting enzyme (ACE) inhibitors; however, treatment was not assessed in either study. Human pathogenic coronaviruses (severe acute respiratory syndrome coronavirus [SARS-CoV] and SARS-CoV-2) bind to their target cells through angiotensin-converting enzyme 2 (ACE2), which is expressed by epithelial cells of the lung, intestine, kidney, and blood vessels. 4 The expression of ACE2 is substantially increased in patients with type 1 or type 2 diabetes, who are treated with ACE inhibitors and angiotensin II type-I receptor blockers (ARBs). 4 Hypertension is also treated with ACE inhibitors and ARBs, which results in an upregulation of ACE2. 5 ACE2 can also be increased by thiazolidinediones and ibuprofen. These data suggest that ACE2 expression is increased in diabetes and treatment with ACE inhibitors and ARBs increases ACE2 expression. Consequently, the increased expression of ACE2 would facilitate infection with COVID-19. We therefore hypothesise that diabetes and hypertension treatment with ACE2-stimulating drugs increases the risk of developing severe and fatal COVID-19. If this hypothesis were to be confirmed, it could lead to a conflict regarding treatment because ACE2 reduces inflammation and has been suggested as a potential new therapy for inflammatory lung diseases, cancer, diabetes, and hypertension. A further aspect that should be investigated is the genetic predisposition for an increased risk of SARS-CoV-2 infection, which might be due to ACE2 polymorphisms that have been linked to diabetes mellitus, cerebral stroke, and hypertension, specifically in Asian populations. Summarising this information, the sensitivity of an individual might result from a combination of both therapy and ACE2 polymorphism. We suggest that patients with cardiac diseases, hypertension, or diabetes, who are treated with ACE2-increasing drugs, are at higher risk for severe COVID-19 infection and, therefore, should be monitored for ACE2-modulating medications, such as ACE inhibitors or ARBs. Based on a PubMed search on Feb 28, 2020, we did not find any evidence to suggest that antihypertensive calcium channel blockers increased ACE2 expression or activity, therefore these could be a suitable alternative treatment in these patients. © 2020 Juan Gaertner/Science Photo Library 2020 Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
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                Author and article information

                Contributors
                p.lorgelly@ucl.ac.uk
                Journal
                Appl Health Econ Health Policy
                Appl Health Econ Health Policy
                Applied Health Economics and Health Policy
                Springer International Publishing (Cham )
                1175-5652
                1179-1896
                7 May 2020
                : 1-5
                Affiliations
                [1 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Applied Health Research, , University College London, ; 1-19 Torrington Place, London, WC1E 7HB UK
                [2 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Diabetes Trial Unit, , University of Oxford, ; Oxford, UK
                Author information
                http://orcid.org/0000-0002-8990-9514
                Article
                590
                10.1007/s40258-020-00590-9
                7202921
                32377982
                52b5bbfd-7c8b-4873-aea1-51eef5e4d174
                © Springer Nature Switzerland AG 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

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