us-fda-guidance-114c789f174ee242395523b06d43945d•COVID-19: Developing Drugs and Biological Products for Treatment or Prevention: Guidance for Industry
COVID-19: Developing Drugs and Biological Products for Treatment or Prevention: Guidance for Industry
us-fda-guidance-114c789f174ee242395523b06d43945dCOVID-19: Developing Drugs and Biological Products for Treatment or Prevention: Guidance for IndustryGuidance
Administrative guidance, not enacted legislation. This captured publisher edition preserves the listed document and attachments; later developments are not independently consolidated.
- Docket Number:
- FDA-2020-D-1370
- Issued by:
- Guidance Issuing OfficeCenter for Biologics Evaluation and ResearchCenter for Drug Evaluation and Research
The Food and Drug Administration (FDA or Agency) is announcing the availability of a final guidance for industry entitled “COVID-19: Developing Drugs and Biological Products for Treatment or Prevention.” The purpose of this guidance is to assist sponsors in the clinical development of drugs and biological products for the treatment or prevention of COVID-19. This guidance describes FDA’s current recommendations for phase 2 and phase 3 trials with a focus on trial population, trial design, efficacy endpoints, safety considerations, and statistical considerations. This guidance supersedes the guidance of the same name initially issued on May 19, 2020, and reissued on February 22, 2021.
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COVID-19: Developing Drugs and Biological Products for Treatment or Prevention Guidance for Industry This guidance is for immediate implementation. FDA is issuing this guidance for immediate implementation in accordance with 21 CFR 10.115(g)(2). Submit one set of either electronic or written comments on this guidance at any time. Submit electronic comments to https://www.regulations.gov. Submit written comments to the Dockets Management Staff (HFA-305), Food and Drug Administration, 5630 Fishers Lane, Rm. 1061, Rockville, MD 20852. You should identify all comments with the docket number listed in the notice of availability that publishes in the Federal Register. For questions regarding this document, contact (CDER) Maria Clary 240-402-8615, or (CBER) Office of Communication, Outreach and Development, 800-835-4709 or 240-402-8010. U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) Center for Biologics Evaluation and Research (CBER) November 2023 Clinical/Medical
COVID-19: Developing Drugs and Biological Products for Treatment or Prevention Guidance for Industry Additional copies are available from: Office of Communications, Division of Drug Information Center for Drug Evaluation and Research Food and Drug Administration 10001 New Hampshire Ave., Hillandale Bldg., 4th Floor Silver Spring, MD 20993-0002 Phone: 855-543-3784 or 301-796-3400; Fax: 301-431-6353; Email: druginfo@fda.hhs.gov https://www.fda.gov/drugs/guidance-compliance-regulatory-information/guidances-drugs and/or Office of Communication, Outreach, and Development Center for Biologics Evaluation and Research Food and Drug Administration 10903 New Hampshire Ave., Bldg. 71, Room 3128 Silver Spring, MD 20993-0002 Phone: 800-835-4709 or 240-402-8010; Email: ocod@fda.hhs.gov https://www.fda.gov/vaccines-blood-biologics/guidance-compliance-regulatory-information-biologics/biologics- guidances U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) Center for Biologics Evaluation and Research (CBER) November 2023 Clinical/Medical
Contains Nonbinding Recommendations TABLE OF CONTENTS I. INTRODUCTION............................................................................................................. 1 II. BACKGROUND ............................................................................................................... 2 III. DISCUSSION .................................................................................................................... 2 A. Treatment Trials ............................................................................................................................ 2 1. Population ........................................................................................................................................ 2 2. Trial Design and Conduct................................................................................................................ 4 3. Efficacy Endpoints ........................................................................................................................... 7 4. Safety Considerations ...................................................................................................................... 9 5. Statistical Considerations .............................................................................................................. 10 B. Prevention Trials.......................................................................................................................... 12 APPENDIX A .............................................................................................................................. 14 APPENDIX B .............................................................................................................................. 16 APPENDIX C .............................................................................................................................. 18
Contains Nonbinding Recommendations 1 COVID-19: Developing Drugs and Biological Products for 1 Treatment or Prevention 2 Guidance for Industry1 3 4 5 6 This guidance represents the current thinking of the Food and Drug Administration (FDA or Agency) on 7 this topic. It does not establish any rights for any person and is not binding on FDA or the public. You 8 can use an alternative approach if it satisfies the requirements of the applicable statutes and regulations. 9 To discuss an alternative approach, contact the FDA office responsible for this guidance as listed on the 10 title page 11 12 13 14 I. INTRODUCTION 15 16 The purpose of this guidance is to assist sponsors in the clinical development of drugs2 for the 17 treatment or prevention of COVID-19. This guidance describes FDA’s current recommendations 18 for phase 2 and phase 3 trials with a focus on trial population, trial design, efficacy endpoints, 19 safety considerations, and statistical considerations. There may be additional considerations for 20 some biological products (e.g., cellular and gene therapies and blood products), so FDA 21 encourages sponsors to reach out to the applicable review division as appropriate. 22 23 The development of drugs for the treatment of Long COVID-19, preventative vaccines3 and 24 convalescent plasma4 is not within the scope of this guidance. 25 26 FDA is implementing this guidance without prior public comment because the Agency has 27 determined that prior public participation is not feasible or appropriate (see 21 CFR 10.115(g)(2) 28 1 This guidance has been prepared by the Office of New Drugs and the Office of Biostatistics in the Center for Drug Evaluation and Research (CDER) and the Center for Biologics Evaluation and Research (CBER) at the Food and Drug Administration. 2 For the purposes of this guidance, all references to drugs include both human drugs and biological products unless otherwise specified. 3 Clinical trials of preventative vaccines raise different and additional considerations, including those pertaining to subject selection, safety monitoring, and effectiveness evaluation. We encourage developers of preventative vaccines to contact the Office of Vaccines Research and Review in CBER and to see the guidance for industry Development and Licensure of Vaccines to Prevent COVID-19 (October 2023). We update guidances periodically. For the most recent version of a guidance, check the FDA guidance web page at https://www.fda.gov/regulatory- information/search-fda-guidance-documents. 4 FDA has issued guidance to provide recommendations to health care providers and investigators on the administration and study of investigational convalescent plasma collected from individuals who have recovered from COVID-19 (COVID-19 convalescent plasma). See the guidance for industry Investigational COVID-19 Convalescent Plasma (October 2023).
Contains Nonbinding Recommendations 2 and (g)(3). FDA made this determination because although the COVID-19-related public health 29 emergency under section 319 has expired, SARS-CoV-2 continues to circulate, COVID-19 30 remains a serious health risk for some individuals, and there is a need to ensure that sponsors are 31 aware of FDA’s recommendations to facilitate timely development of drugs and biological 32 products for treatment and prevention of COVID-19. This guidance document is being 33 implemented immediately, but it remains subject to comment in accordance with the Agency’s 34 good guidance practices. 35 36 In general, FDA’s guidance documents do not establish legally enforceable responsibilities. 37 Instead, guidances describe the Agency’s current thinking on a topic and should be viewed 38 only as recommendations, unless specific regulatory or statutory requirements are cited. The 39 use of the word should in Agency guidances means that something is suggested or 40 recommended, but not required. 41 42 43 II. BACKGROUND 44 45 COVID-19, the disease caused by the SARS-CoV-2 virus, can range from mild to severe or 46 critical disease, the latter including pneumonia, severe acute respiratory syndrome, multi-organ 47 failure, and death. Additionally, the SARS-CoV-2 virus can cause asymptomatic infection. 48 Clinical management includes the use of preventative vaccines and therapeutic agents (e.g., 49 direct antivirals, immunomodulators) and supportive care, such as supplemental oxygen, 50 mechanical ventilation, and extracorporeal membrane oxygenation. 51 52 53 III. DISCUSSION 54 55 A. Treatment Trials 56 57 1. Population 58 59 Sponsors of drugs to treat COVID-19 should consider the following: 60 61 • The enrolled population should reflect the intended use of the product. For example: 62 63 – Non-hospitalized individuals at standard risk of progression to serious disease 64 – Non-hospitalized individuals at high risk of progression to serious disease 65 – Hospitalized individuals requiring supplemental oxygen 66 – Hospitalized individuals with respiratory failure 67 68 • For treatment trials, sponsors should document diagnosis of laboratory-confirmed SARS- 69 CoV-2 as well as the duration of symptoms before treatment. 70 71 • For treatment trials, FDA recommends that sponsors categorize the baseline severity of 72 COVID-19 in the enrolled population. The criteria used to describe baseline disease 73
Contains Nonbinding Recommendations 3 severity should incorporate objective measures. Examples of disease severity criteria are 74 provided in Appendix A. 75 76 • Clinical trials intended to demonstrate prevention of serious outcomes, including 77 hospitalization or death, should include groups of persons at high risk of progression to 78 severe disease. 79 80 • Age is one of the strongest risk factors for severe COVID-19 outcomes. To the fullest 81 extent possible, older adults, including individuals 75 years of age and older, should be 82 represented in relevant clinical trials. Sponsors should consider conducting trials in 83 nursing homes or other eldercare facilities. 84 85 • Individuals from underrepresented racial and ethnic groups should be represented in 86 clinical trials. Sponsors should select clinical study site locations to facilitate enrollment 87 of a representative study population. 88 89 • Studies to characterize the effect of extrinsic factors (e.g., drug-drug interactions) and 90 intrinsic factors (e.g., renal impairment or hepatic impairment) on the pharmacokinetics 91 of a drug should be conducted early in development to inform the management of drug- 92 drug interactions and inclusion of individuals with renal and/or hepatic impairment in 93 clinical trials as appropriate. Sponsors should consider recommendations in relevant 94 guidances for industry.5 95 96 • The principles outlined in this document can be used to guide drug development for 97 children and for pregnant and lactating women. There is a need to generate clinical trial 98 data to inform the use of drugs in these populations. 99 100 – Because COVID-19 during pregnancy may increase the risk of severe symptoms and 101 preterm birth, sponsors should ensure that adequate nonclinical studies have been 102 completed so that pregnant women can be enrolled in phase 3 (efficacy) clinical 103 trials.6 104 105 – FDA encourages enrolling lactating women in phase 3 (efficacy) clinical trials. 106 107 5 See the guidances for industry In Vitro Drug Interaction Studies — Cytochrome P450 Enzyme- and Transporter- Mediated Drug Interactions (January 2020), Clinical Drug Interaction Studies — Cytochrome P450 Enzyme- and Transporter-Mediated Drug Interactions (January 2020), Pharmacokinetics in Patients with Impaired Hepatic Function: Study Design, Data Analysis, and Impact on Dosing and Labeling (May 2003), and the draft guidance for industry Pharmacokinetics in Patients with Impaired Renal Function — Study Design, Data Analysis, and Impact on Dosing and Labeling (September 2020). When final, this guidance will represent the FDA’s current thinking on this topic. For the most recent version of a guidance, check the FDA guidance web page at https://www.fda.gov/regulatory-information/search-fda-guidance-documents. 6 FDA has proposed relevant recommendations in the draft guidance for industry Pregnant Women: Scientific and Ethical Considerations for Inclusion in Clinical Trials (April 2018). When final, this guidance will represent the FDA’s current thinking on this topic.
Contains Nonbinding Recommendations 4 – Children should not be categorically excluded from clinical trials of investigational 108 COVID-19 products in which there is a prospect for direct benefit.7 109 110 Sponsors are encouraged to discuss pediatric drug development with FDA early in 111 the course of clinical development, including the potential for extrapolation of 112 efficacy data from studies in adults, appropriate pharmacokinetic trials in 113 pediatric subjects to support dose selection, and the recommended size of the 114 preapproval safety database in children. In addition, disease severity classification 115 should reflect age-appropriate norms, as applicable. Decisions on the timing of 116 initiating pediatric studies depend on several factors, including but not limited to 117 the amount of available clinical and/or nonclinical safety data for the drug. For 118 example, if dosing recommendations for a drug are the same for adults and 119 adolescents8 and there is a prospect of direct benefit, then adolescents should be 120 included in the initial phase 3 clinical trials. 121 122 Sponsors are encouraged to submit an initial pediatric study plan as soon as 123 practicable.9 124 125 Under the Pediatric Research Equity Act, all applications for new active 126 ingredients (which include new salts and new fixed combinations), new 127 indications, new dosage forms, new dosing regimens, or new routes of 128 administration are required to contain an assessment of the safety and 129 effectiveness of the product for the claimed indication or indications in pediatric 130 populations unless this requirement is waived, deferred, or inapplicable.10 FDA 131 intends to work with sponsors to reach agreement on the initial pediatric study 132 plan and any pediatric trial protocols as quickly as possible to avoid any 133 unnecessary delays in the initiation of trials or submission of any marketing 134 application. 135 136 2. Trial Design and Conduct 137 138 Sponsors of drugs to treat COVID-19 should consider the following: 139 140 • FDA strongly recommends that drugs to treat COVID-19 be evaluated in randomized, 141 controlled, double-blind clinical trials. 142 143 7 For additional safeguards for children in clinical investigations, see 21 CFR part 50, subpart D. 8 For the purposes of this guidance, adolescents are defined as age 12 to younger than 18 years of age. 9 See 505B(e) of the FD&C Act. Additionally, FDA has proposed relevant recommendations in the guidance for industry Pediatric Study Plans: Content of and Process for Submitting Initial Pediatric Study Plans and Amended Initial Pediatric Study Plans (July 2020). 10 See 21 U.S.C. 355c.
Contains Nonbinding Recommendations 5 – Typically, trials should be designed as placebo-controlled superiority studies. An add- 144 on placebo design (i.e., the investigational agent or placebo added on to standard of 145 care) may be necessary to maintain equipoise. 146 147 – For agents with a similar mechanism of action as the background standard of care 148 (e.g., direct antiviral agent as the investigational agent when the standard of care is 149 also a direct antiviral agent), an active-comparator controlled study design may be 150 considered. A superiority trial design or noninferiority design11 may be appropriate. 151 152 • Sponsors are encouraged to use quantitative clinical pharmacology approaches that 153 leverage all available information for selection of dosing regimen(s) to be evaluated in 154 clinical trials.12 155 156 • Sponsors should plan to collect baseline vaccination status, changes in vaccination status 157 during the trial, and baseline and concomitant medication use, including COVID-19 158 standard of care therapies. 159 160 • Sponsors should address the possibility of drug and COVID-19 vaccine interactions for 161 drugs that may interfere with vaccine effectiveness (i.e., monoclonal antibodies targeting 162 the vaccine antigen). Sponsors should consult with the Agency early in the development 163 program for such drugs. 164 165 • SARS-CoV-2 has and continues to evolve, resulting in the emergence of SARS-CoV-2 166 with genetic changes that may impact the effectiveness of antiviral drugs. Sponsors 167 should determine the antiviral activity (EC50 and EC90 values) of their drug against 168 currently predominant and emerging U.S. variants. 169 170 • Using an antiviral drug to treat COVID-19 may contribute to the emergence of viruses 171 with reduced susceptibility to the drug or to other approved or investigational drugs. 172 Sponsors should characterize drug resistance pathways and the potential for cross- 173 resistance to other drugs using both nonclinical and clinical studies. Details regarding 174 drug resistance analysis are provided in Appendix B. Sponsors should also refer to the 175 guidance for industry Antiviral Product Development — Conducting and Submitting 176 Virology Studies to the Agency (June 2006). 177 178 • Clinical trial protocols should include plans to characterize the impact of drugs on viral 179 shedding and immune responses as described in Appendix C. 180 181 • Decentralized clinical trials (DCTs) may play a role in COVID-19 drug development 182 programs. Sponsors considering a DCT should plan early discussions with the 183 11 The noninferiority margin must be sufficiently supported to conduct a noninferiority trial and the justification should be discussed with FDA. See the guidance for industry Non-Inferiority Clinical Trials to Establish Effectiveness (November 2016). 12 See the guidances for industry Population Pharmacokinetics (February 2022) and Exposure-Response Relationships — Study Design, Data Analysis, and Regulatory Applications (May 2003).
Contains Nonbinding Recommendations 6 appropriate review division, as a DCT may introduce additional complexities related to 184 feasibility, design, implementation, and analysis of the data.13,14 185 186 – Sponsors should consider several factors when determining if conducting a DCT is 187 appropriate, selecting the location of a trial visit, and/or selecting personnel 188 performing an assessment. These factors include the following: 189 190 The severity of COVID-19 191 192 The nature of the investigational product (e.g., ease of administration, safety 193 profile, stability profile, storage conditions) 194 195 The type of trial procedure or assessment (e.g., administration of investigational 196 product, clinical laboratory assessment, clinical outcome assessment, or adverse 197 event assessment/follow-up) 198 199 • Sponsors considering the use of adaptive design elements in their clinical trial should 200 review the guidance for industry Adaptive Designs for Clinical Trials of Drugs and 201 Biologics (November 2019). If a trial incorporates any adaptations to the sample size, 202 dosing arms, or other design features, sponsors should prospectively plan the design in a 203 manner to ensure control of the type I error rate and reliable treatment effect estimation. 204 205 • FDA strongly discourages disseminating data from ongoing trials. Knowledge of 206 accumulating data by trial investigators and subjects can adversely affect subject accrual, 207 adherence, and retention, as well as endpoint assessment, compromising the ability of the 208 trial to reliably achieve its objective in a timely manner. Issues with trial conduct caused 209 by knowledge of interim results are difficult to predict and generally impossible to adjust 210 for in statistical analyses. Therefore, releasing interim results could have ramifications on 211 the integrity of the ongoing trial and the ability to collect reliable and interpretable data 212 needed to support regulatory decision-making. If sponsors intend to conduct interim 213 analyses, FDA recommends they prospectively plan these analyses and incorporate 214 processes to maintain the integrity of the trial (e.g., using an independent DMC).15 FDA 215 recognizes there may be exceptional circumstances in which a sponsor determines it 216 needs to disseminate results for safety or other reasons. In such situations, the sponsor is 217 strongly encouraged to discuss with FDA before releasing such results. 218 219 • FDA encourages sponsors to incorporate prospectively planned criteria to stop the trial 220 for futility (lack of efficacy) or harm in any confirmatory trial. The stopping criteria 221 13 See the draft guidance for industry Decentralized Clinical Trials for Drugs, Biological Products, and Devices (May 2023). When final, this guidance will represent the FDA’s current thinking on this topic. 14 See the draft guidance for industry, investigators, and other stakeholders Digital Health Technologies for Remote Data Acquisition in Clinical Investigations (December 2021). When final, this guidance will represent the FDA’s current thinking on this topic. 15 See guidance for industry Adaptive Designs for Clinical Trials of Drugs and Biologics.
Contains Nonbinding Recommendations 7 should aim to ensure a high probability of halting the trial if the drug is harmful (e.g., 222 associated with a higher risk of death), a reasonable probability of halting the trial if the 223 drug is ineffective, and a high probability of continuing the trial if the drug is effective. 224 225 • FDA encourages sponsors to use an independent, external data monitoring committee 226 (DMC) to ensure subject safety and trial integrity. 227 228 – Sponsors should submit the DMC charter to FDA before enrolling subjects. 229 230 – Sponsors should ensure there will be appropriate DMC monitoring to safeguard the 231 welfare of subjects, accounting for important factors such as the expected enrollment 232 rate, the expected lag time to analyze interim data for DMC meetings, and the 233 frequency of DMC meetings.16 234 235 • The trial should aim to minimize missing data. The protocol should distinguish between 236 discontinuation from the study drug and withdrawal from study assessments. Trial 237 subjects may choose to discontinue treatment during the trial for various reasons, such as 238 experiencing adverse events or perceived lack of efficacy. Unless the subject withdraws 239 consent,17 sponsors should encourage subjects who discontinue therapy to remain in the 240 study and to continue follow-up for key safety and efficacy assessments. Virtual follow- 241 up is acceptable, if appropriate, and the aim should be to record vital status for all 242 subjects. 243 244 • Applicable clinical trials need to be registered at www.ClinicalTrials.gov as required by 245 42 CFR part 11. FDA encourages responsible parties to promptly update 246 www.clinicaltrial.gov with the results of completed trials given their public health 247 importance. 248 249 3. Efficacy Endpoints 250 251 Sponsors of drugs to treat COVID-19 should consider the following: 252 253 • The drug development program should evaluate the effect of the investigational drug 254 relative to placebo or an active comparator on clinically meaningful aspects of the 255 disease. The relevance and appropriateness of measures may depend on factors such as 256 the mechanism of action of the drug, the population studied, the clinical setting, the phase 257 of drug development, and/or baseline disease severity (see Appendix A). 258 259 • Examples of important clinical outcome measures in treatment trials include the 260 following: 261 262 16 See the guidance for industry Establishment and Operation of Clinical Trial Data Monitoring Committees (March 2006). 17 Withdrawal of consent refers to a subject’s voluntary termination of participation in the clinical trial during the course of the trial. The reason for withdrawal of consent should be captured in a case report form.
Contains Nonbinding Recommendations 8 – All-cause mortality. 263 264 – Respiratory failure (i.e., need for mechanical ventilation, extracorporeal membrane 265 oxygenation, noninvasive positive pressure ventilation, or high-flow nasal cannula 266 oxygen delivery). 267 268 – Need for invasive mechanical ventilation. 269 270 – Need for hospitalization. 271 272 – Objective measures of sustained improvement (e.g., return to room air or baseline 273 oxygen requirement). 274 275 – Sustained symptom alleviation or resolution. For trials evaluating non-hospitalized 276 patients, this can be defined as occurring when no key COVID-19-related symptom 277 scored higher than a prespecified threshold over a clinically meaningful time period 278 (as documented using a patient-reported outcome instrument).18 279 280 – Clinical status using an ordinal scale that incorporates multiple clinical outcomes of 281 interest ordered by their clinical importance. 282 283 • The choice, time frame, and interpretation of endpoints may differ depending on the 284 population evaluated in the trial. For example, 285 286 – In a trial in severe and/or critically ill patients, examples of appropriate endpoints 287 could be 288 289 All-cause mortality at an appropriate time point (e.g., at least 28 days for 290 hospitalized noncritically ill patients, 60 days for critically ill patients19) 291 292 Proportion of patients alive and free of respiratory failure at an appropriate time 293 point (e.g., at least 28 days for hospitalized noncritically ill patients, 60 days for 294 critically ill patients) 295 296 – In an outpatient treatment trial, examples of appropriate endpoints could be 297 18 See the guidances for industry Assessing COVID-19-Related Symptoms in Outpatient Adult and Adolescent Subjects in Clinical Trials of Drugs and Biological Products for COVID-19 Prevention or Treatment (September 2020) and Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims (December 2009) for additional information on using patient-reported outcome measures to define clinical recovery. Also see FDA Patient-Focused Drug Development Guidance Series which can be found at https://www.fda.gov/drugs/development-approval-process-drugs/fda-patient-focused-drug-development-guidance- series-enhancing-incorporation-patients-voice-medical. 19 C Karagiannidis, C Mostert, C Hentschker, T Voshaar, J Malzahn, G Schillinger, J Klauber, U Janssens, G Marx, S Weber-Carstens, S Kluge, M Pfeifer, L Grabenhenrich, T Welte, and R Busse, 2020, Case Characteristics, Resource Use, and Outcomes of 10021 Patients with COVID-19 Admitted to 920 German Hospitals: an Observational Study, Lancet Respir Med, 8(9):853–862.
Contains Nonbinding Recommendations 9 298 Proportion of patients progressing to hospitalization or death by an appropriate 299 time point (e.g., at least 28 days). 300 301 Time to sustained symptom alleviation or resolution assessed over an appropriate 302 duration. 303 304 • For primary endpoints other than all-cause mortality, a treatment effect could be driven 305 by nonmortality components (e.g., hospitalization) despite increased mortality while on 306 the investigational drug. Therefore, analyses of all-cause mortality will be important 307 regardless of the selected primary endpoint. Additionally, powering the trial based on 308 other endpoints, such as time to sustained recovery, may result in less precision in the 309 assessment of all-cause mortality attributable to a smaller patient sample size. Depending 310 on the population and mechanism of action of the investigational drug(s), additional 311 consideration may be needed to determine if the sample size is sufficient to provide an 312 adequate assessment of mortality. 313 314 • In their endpoint definition, sponsors should address the occurrence of relapses to ensure 315 adequate assessment of the durability of response. 316 317 • In phase 2 treatment trials, a virologic measure may be acceptable as a primary endpoint 318 to support progression to a phase 3 clinical endpoint trial. However, virologic endpoints 319 are not appropriate as primary endpoints in a phase 3 trial because there is no established 320 predictive relationship between magnitude and timing of reductions in viral RNA 321 shedding and the extent of clinical benefit of how a patient feels, functions, or survives. 322 Additionally, the optimal sample size, timing, and methods for collection procedures 323 have not been established and assays for clinically relevant virologic measurements have 324 not been validated. In phase 3 treatment trials, virologic endpoints may be assessed as 325 secondary endpoints. Collection of virologic data and evaluation of activity against 326 circulating variants and treatment-emergent resistance are important components of drug 327 development for COVID-19 (see Appendix B and Appendix C). 328 329 • For endpoints defined by events through or at a prespecified time point, the time point 330 should be defined as number of days after randomization. The time window should be 331 sufficiently long to ensure capture of important events related to patient status, treatment, 332 and COVID-19 progression. 333 334 4. Safety Considerations 335 336 Sponsors of drugs to treat COVID-19 should consider the following: 337 338 • The size and composition of the safety database needed to support an indication for 339 COVID-19 depends on factors such as the proposed population, the treatment effect, the 340 drug’s toxicity, and the extent of the prior clinical experience with the drug (and possibly 341 with related drugs). For example, for drugs with a well-characterized safety profile with 342 low toxicity, a more streamlined approach to data collection may be appropriate (e.g., 343
Contains Nonbinding Recommendations 10 limiting adverse event collection to serious adverse events, adverse events leading to 344 discontinuation, and grade 3 and grade 4 adverse events).20 Conversely, for drugs that are 345 less well characterized or repurposed agents known to be highly toxic (e.g., some 346 oncologic drugs), a more detailed collection of safety data would be warranted. Sponsors 347 are encouraged to discuss their proposed safety database with FDA early in the course of 348 clinical development. 349 350 • Sponsors may provide a standardized toxicity grading scale. For clinical trials in subjects 351 with severe COVID-19 or subjects with serious comorbidities, examples of toxicity 352 grading scales include those published by the National Institutes of Health’s Division of 353 AIDS21 and the National Cancer Institute.22 For trials evaluating mild-to-moderate 354 COVID-19, an example grade scale can be found in the guidance for industry Toxicity 355 Grading Scale for Healthy Adult and Adolescent Volunteers Enrolled in Preventive 356 Vaccine Clinical Trials (September 2007). 357 358 • Sponsors should address the potential for drug-drug interactions that could increase the 359 risk for toxicities (caused by increased exposures of the investigational drug or the drug 360 that it interacts with) and propose mitigation strategies. 361 362 • Safety assessments (e.g., vital signs, laboratory studies, electrocardiograms) should be 363 performed on a schedule commensurate with severity of illness and the identified 364 potential risk of the study drug. 365 366 • Sponsors should conduct safety reporting as outlined in FDA regulations23 and relevant 367 guidance.24 368 369 5. Statistical Considerations 370 371 Sponsors of drugs to treat COVID-19 should consider the following: 372 373 • Sponsors should justify their assumptions in sample size calculations. The sample size 374 should be large enough to provide a reliable answer to the safety and efficacy questions 375 the trial is meant to address. 376 20 See the guidance for industry E19 A Selective Approach to Safety Data Collection in Specific Late-Stage Pre- approval or Post-Approval Clinical Trials (December 2022). 21 See the National Institutes of Health’s Division of AIDS Adverse Event Grading Tables, available at https://rsc.niaid.nih.gov/clinical-research-sites/daids-adverse-event-grading-tables. 22 See the National Cancer Institute’s Common Terminology Criteria for Adverse Events, available at https://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm. 23 See 21 CFR 312.32. 24 See the guidance for industry Safety Reporting Requirements for INDs and BA/BE Studies (December 2012). In addition, FDA has proposed relevant recommendations in the draft guidance for industry Safety Assessment for IND Safety Reporting.
Contains Nonbinding Recommendations 11 377 • Sponsors are encouraged to consider the estimands25 of interest and to adequately define 378 those estimands in both the protocol and the statistical analysis plan. 379 380 – The primary efficacy analysis should be conducted in all randomized subjects. 381 382 – For key efficacy endpoints in treatment trials, FDA generally recommends the 383 following approaches for handling intercurrent events.26 For any alternative 384 strategies, sponsors should justify that the estimand addresses a meaningful clinical 385 question of interest and can be estimated with plausible assumptions. 386 387 Sponsors should use a composite variable strategy27 to handle death, with death 388 taking a sufficiently unfavorable value. Death should not be considered a form of 389 missing data. 390 391 Sponsors should also use the composite variable strategy for handling 392 hospitalization in the outpatient population. 393 394 Sponsors should use a treatment policy strategy28 for other intercurrent events. 395 396 • To improve the precision of treatment effect estimation and inference, sponsors should 397 consider adjusting for prespecified prognostic baseline covariates (e.g., age, baseline 398 severity, comorbidities, baseline medications, and COVID-19 vaccination status) in the 399 primary efficacy analysis and should propose methods of covariate adjustment. For 400 example, for a binary endpoint, methods can be used to gain precision in the evaluation 401 of the difference in proportions.29,30 402 403 • Restricting analyses to a subset of patients defined by a post-randomization variable (e.g., 404 intensive care unit admission, ventilator use) can lead to results that are difficult to 405 interpret. The analysis set or sets to be used in the statistical analyses for any key efficacy 406 endpoint should be defined according to measurements and characteristics that can be 407 observed at baseline. 408 25 See the guidance for industry E9(R1) Statistical Principles for Clinical Trials: Addendum: Estimands and Sensitivity Analysis in Clinical Trials (May 2021). 26 Intercurrent events are events occurring after treatment initiation that affect either the interpretation or the existence of the measurements associated with the clinical question of interest. See ICH E9(R1). 27 Ibid. 28 Ibid. 29 JA Steingrimsson, DF Hanley, and M Rosenblum, 2017, Improving Precision by Adjusting for Prognostic Baseline Variables in Randomized Trials With Binary Outcomes, Without Regression Model Assumptions, Contemp Clin Trials, 54:18–24. 30 T Ye, M Bannick, Y Yi, and J Shao, 2023, Robust Variance Estimation for Covariate-Adjusted Unconditional Treatment Effect in Randomized Clinical Trials With Binary Outcomes, Stat Theory and Relat Fields, 7(2):159–163.
Contains Nonbinding Recommendations 12 409 • If a treatment trial enrolls a mixture of subjects with different baseline severity levels, 410 baseline medication use, and/or vaccination statuses, sponsors should conduct subgroup 411 or interaction analyses to assess for differential treatment effects. Sponsors should also 412 provide analyses describing concomitant medication use and changes in vaccination 413 status during the trial overall and by treatment arm. 414 415 • Sponsors should submit a statistical analysis plan for review before any unblinding of 416 data. In addition to the statistical methods provided in the protocol, the statistical analysis 417 plan for a trial should contain detailed information on each primary and secondary 418 endpoint; the main, supplemental, and sensitivity analysis methods of key efficacy 419 endpoints; the multiple testing procedure for controlling the overall type I error rate, if 420 applicable; and methods for handling missing data. If applicable, sponsors should 421 prespecify the interim analysis procedures (e.g., statistical methods, boundaries) and 422 should provide in a DMC charter detailed procedures and discussions of methods to 423 maintain trial integrity (e.g., unblinded personnel, firewalls). 424 425 B. Prevention Trials 426 427 • The availability of vaccines and timing of vaccine administration to prevent COVID-19 428 has implications for the design and conduct of trials evaluating drugs for the prevention 429 of COVID-19. FDA recommends that sponsors contact the Agency early on in the 430 planning of such trials. 431 432 • In prevention trials, the primary endpoint should be the occurrence of laboratory- 433 confirmed SARS-CoV-2 infection (with or without symptoms) or SARS-CoV-2 infection 434 with symptoms (i.e., COVID-19) through a prespecified time point. 435 436 – Sponsors are encouraged to evaluate both laboratory-confirmed SARS-CoV-2 437 infection (with or without symptoms) and SARS-CoV-2 infection with symptoms 438 (i.e., COVID-19) when possible. 439 440 – Ascertaining whether COVID-19 is milder in persons receiving drugs for the 441 prevention of COVID-19 compared with persons not receiving such therapies is of 442 interest. Sponsors should collect clinical outcome data (e.g., hospitalization) and data 443 on symptoms to support such analyses. 444 445 • Sponsors should also conduct SARS-CoV-2 antibody testing at baseline and at later time 446 points to detect serologic evidence of infection in prevention trials, which may identify 447 cases of asymptomatic infection or infections that were otherwise undetected by virologic 448 testing. 449 450 • For pre- or post-exposure prevention trials, protocols should include clear plans and 451 testing algorithms for detecting SARS-CoV-2 infection. Protocols should indicate the 452 specific viral assay(s) to be used and should describe assay performance characteristics, 453
Contains Nonbinding Recommendations 13 including any known or predicted impact of emerging SARS-CoV-2 variants on assay 454 performance. 455
Contains Nonbinding Recommendations 14 APPENDIX A 456 457 EXAMPLES OF BASELINE SEVERITY CATEGORIZATION 458 459 SARS-CoV-2 infection without symptoms 460 461 • Positive testing by virologic test (i.e., a nucleic acid amplification test or an antigen test) 462 463 • No symptoms 464 465 Mild COVID-19 466 467 • Positive testing by virologic test (i.e., a nucleic acid amplification test or an antigen test) 468 469 • Symptoms of mild illness with COVID-19 that could include fever, cough, sore throat, 470 malaise, headache, muscle pain, nausea, vomiting, diarrhea, and loss of taste or smell, 471 without shortness of breath or dyspnea 472 473 • No clinical signs indicative of Moderate, Severe, or Critical Severity 474 475 Moderate COVID-19 476 477 • Positive testing by virologic test (i.e., a nucleic acid amplification test or an antigen test) 478 479 • Symptoms of moderate illness with COVID-19, which could include any symptom of 480 mild illness or shortness of breath with exertion 481 482 • Clinical signs suggestive of moderate illness with COVID-19, such as respiratory rate ≥ 483 20 breaths per minute, heart rate ≥ 90 beats per minute; with saturation of oxygen (SpO2 ) 484 > 93% on room air at sea level1 485 486 • No clinical signs indicative of Severe or Critical Severity 487 488 Severe COVID-19 489 490 • Positive testing by virologic test (i.e., a nucleic acid amplification test or an antigen test) 491 492 • Symptoms suggestive of severe systemic illness with COVID-19, which could include 493 any symptom of moderate illness or shortness of breath at rest, or respiratory distress 494 495 1 Although pulse oximetry is useful for estimating blood oxygen levels, pulse oximeters have limitations and a risk of inaccuracy under certain circumstances that should be considered. See FDA’s Pulse Oximeter Accuracy and Limitations: FDA Safety Communication, issued February 19, 2021, available at https://www.fda.gov/news- events/fda-brief/fda-brief-fda-warns-about-limitations-and-accuracy-pulse-oximeters.
Contains Nonbinding Recommendations 15 • Clinical signs indicative of severe systemic illness with COVID-19, such as respiratory 496 rate ≥ 30 per minute, heart rate ≥ 125 per minute, SpO2 ≤ 93% on room air at sea level or 497 PaO2 /FiO2 < 300 498 499 • No clinical criteria for Critical Severity 500 501 Critical COVID-19 502 503 • Positive testing by virologic test (i.e., a nucleic acid amplification test or an antigen test) 504 505 • Evidence of critical illness, defined by at least one of the following: 506 507 – Respiratory failure defined as requiring at least one of the following: 508 509 Endotracheal intubation and mechanical ventilation, oxygen delivered by high- 510 flow nasal cannula (heated, humidified, oxygen delivered via reinforced nasal 511 cannula at flow rates > 20 L/min with fraction of delivered oxygen ≥ 0.5), 512 noninvasive positive pressure ventilation, extracorporeal membrane oxygenation 513 514 – Shock (defined by systolic blood pressure < 90 mm Hg, or diastolic blood pressure < 515 60 mm Hg or requiring vasopressors) 516 517 – Multi-organ dysfunction/failure 518 519 520
Contains Nonbinding Recommendations 16 APPENDIX B 521 522 DRUG RESISTANCE ANALYSIS 523 524 The drug resistance analysis plan should include the following: 525 526 • Characterize the antiviral activity of the drug in cell culture assays against a panel of 527 geographically, temporally, and phylogenetically distinct SARS-CoV-2 isolates, 528 including isolates representative of the most common variants currently circulating 529 globally. 530 531 • Evaluate combination antiviral activity relationships in cell culture assays between 532 candidate drugs planned for use in a combination regimen, or between the candidate 533 drug(s) and any other authorized or approved drugs if they are anticipated to be used in 534 combination. 535 536 • Select for viruses resistant to the drug in cell culture assays and characterize drug- 537 resistant viruses genotypically and phenotypically to support drug resistance and cross- 538 resistance analyses. These studies should be conducted under appropriate 539 biocontainment1 or consider using a surrogate or recombinant virus expressing the 540 SARS-CoV-2 target protein. 541 542 • Identify reported SARS-CoV-2 amino acid polymorphisms in the drug target and 543 describe their prevalence and rates of emergence in publicly available viral sequence 544 databases. If the drug has been co-crystalized with the viral target protein, identify 545 polymorphisms in the viral target at amino acid positions that are within 5 angstroms of 546 the drug structure. 547 548 • Include detailed plans in clinical protocols to (a) characterize the impact of SARS-CoV-2 549 genetic variability on clinical and virologic outcomes (i.e., baseline resistance analyses) 550 and (b) identify SARS-CoV-2 genetic changes associated with treatment (i.e., treatment- 551 emergent resistance analyses). 552 553 • Characterize the impact of specific amino acid variants in the drug target on drug activity 554 using cell culture phenotype assays. If a pseudotyped virus-like particle assay or other 555 surrogate assay is used, conduct validation studies showing that the surrogate assay yields 556 results that are consistent with those obtained with authentic virus regarding the relative 557 impact of different variants. 558 1 For biosafety considerations from the National Institutes of Health, see the NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules and the FAQs — Interim Laboratory Biosafety Guidance for Research with SARS-CoV-2 and IBC Requirements under the NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules, available at https://osp.od.nih.gov/wp-content/uploads/NIH_Guidelines.pdf. See also the Centers for Disease Control and Prevention’s guideline Biosafety in Microbiological and Biomedical Laboratories, available at https://www.cdc.gov/labs/BMBL.html. Studies should also follow applicable federal policies and guidelines related to dual use research of concern, available at https://aspr.hhs.gov/S3/Documents/USG- Policy-for-Oversight-of-DURC-and-PEPP-May2024-508.pdf.
Contains Nonbinding Recommendations 17 559 • Assess the potential for cross-resistance with other drugs with the same target or similar 560 mechanism of action based on results of genotypic and phenotypic assays. 561 562 • Monitor continuously for emerging SARS-CoV-2 variants and evaluate phenotypically 563 any specific variants in the drug target that are becoming prevalent or could potentially 564 impact drug activity. 565 566 • Conduct proof of principle studies in small animal models given the limited availability 567 of nonhuman primates. 568 569 • Identify known human genetic polymorphisms and characterize their potential impact on 570 drug activity in nonclinical and/or clinical studies if the drug targets a host factor. The 571 types and frequencies of polymorphisms in different racial/ethnic groups should be 572 provided to FDA. Samples for resistance assessments should be collected in clinical trials 573 for host targeting antivirals as resistance can occur with these drugs. 574 575 • Follow established FDA guidance for submission of next generation sequencing data 576 generated from clinical trials.2 Consult with the appropriate review division for additional 577 advice on collection and submission of drug resistance data. 578 579 2 See the guidance for industry Submitting Next Generation Sequencing Data to the Division of Antiviral Products (July 2019). We update guidances periodically. For the most recent version of a guidance, check the FDA guidance web page at https://www.fda.gov/regulatory-information/search-fda-guidance-documents.
Contains Nonbinding Recommendations 18 APPENDIX C 580 581 IMPACT OF DRUGS ON VIRAL SHEDDING AND IMMUNE RESPONSES 582 583 Clinical trial protocols should include plans to characterize the impact of drugs on viral shedding 584 and immune responses as follows: 585 586 • Indicate specific time points and clinical specimens to be collected and analyzed. 587 588 • Describe the specific types of respiratory samples to be collected (e.g., nasopharyngeal 589 swabs, nasal mid-turbinate swab, saliva) and the collection procedures. 590 591 • Collect and analyze the same specimen type(s) for baseline and subsequent time points 592 when assessing the impact of treatment on viral shedding as assays may have varying 593 sensitivity or performance for different respiratory specimen types. 594 595 • Collect nonrespiratory specimens (e.g., blood, bronchoalveolar lavage fluid) for virologic 596 analyses when feasible to assess the impact of antiviral treatment on virus replication in 597 other compartments, which may play a role in disease pathogenesis. 598 599 • Include an assessment of viral RNA levels (e.g., quantitative RT-PCR) for viral shedding 600 analyses. Sponsors are encouraged to assess viral RNA shedding both quantitatively (e.g., 601 log 10 decline from baseline at a specific time point) and qualitatively (e.g., detected or not 602 detected at a specific time point). Indicate the specific viral RNA assay(s) to be used and 603 whether they have received FDA emergency use authorization or approval. 604 605 • Consider conducting virus infectivity assays to characterize the impact of treatment on 606 shedding of cell culture infectious virus. Such assays should be conducted under 607 appropriate biocontainment.1 608 609 • Describe assay performance characteristics, including any known or predicted impact of 610 emerging SARS-CoV-2 variants on assay performance. 611 612 • Characterize the impact of treatments on markers of inflammation (e.g., pro- 613 inflammatory cytokines) and on the development of anti-SARS-CoV-2 immune 614 responses when possible. 615 616 1 For biosafety considerations from the National Institutes of Health, see the NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules and the FAQs — Interim Laboratory Biosafety Guidance for Research with SARS-CoV-2 and IBC Requirements under the NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules, available at https://osp.od.nih.gov/wp-content/uploads/NIH_Guidelines.pdf. See also the Centers for Disease Control and Prevention’s and the National Institutes of Health’s guideline Biosafety in Microbiological and Biomedical Laboratories, available at https://www.cdc.gov/labs/BMBL.html. Studies should also follow applicable federal policies and guidelines related to dual use research of concern, available at https://aspr.hhs.gov/S3/Documents/USG-Policy-for-Oversight-of-DURC-and-PEPP-May2024-508.pdf.
Contains Nonbinding Recommendations 19 • Consider conducting these laboratory assessments in central laboratories or include 617 internal assay references to minimize the potential introduction of variability attributable 618 to assessments being conducted in different laboratories. 619 620 621
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