Dose-Finding Study of Favipiravir in the Treatment of Uncomplicated Influenza
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Purpose
This is a Phase 2, randomized, double-blind, placebo-controlled multicenter study evaluating the efficacy and safety of two doses of favipiravir in adult patients with uncomplicated influenza.
| Condition | Intervention | Phase |
|---|---|---|
|
Influenza |
Drug: Favipiravir Drug: Placebo comparator |
Phase 2 |
| Study Type: | Interventional |
| Study Design: | Allocation: Randomized Endpoint Classification: Safety/Efficacy Study Intervention Model: Factorial Assignment Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor) Primary Purpose: Treatment |
| Official Title: | A Phase 2, Randomized, Double-Blind, Placebo-Controlled Multicenter Study Evaluating the Efficacy and Safety of Two Doses of Favipiravir in Adult Patients With Uncomplicated Influenza |
- To evaluate the clinical efficacy of 2 dose regimens of favipiravir compared with placebo in treating patients with influenza [ Time Frame: 22 weeks ] [ Designated as safety issue: No ]
| Enrollment: | 530 |
| Study Start Date: | February 2010 |
| Study Completion Date: | May 2012 |
| Primary Completion Date: | April 2012 (Final data collection date for primary outcome measure) |
| Arms | Assigned Interventions |
|---|---|
|
Experimental: 1: Experimental
Low-dose favipiravir regimen: 1000 mg favipiravir twice a day (BID) x 1 day, and 400 mg favipiravir BID x 4 days
|
Drug: Favipiravir
1000 mg favipiravir BID x 1 day, and 400 mg favipiravir BID x 4 days
|
|
Experimental: 2: Experimental
High-dose favipiravir regimen: 1200 mg favipiravir BID x 1 day, and 800 mg favipiravir BID x 4 days
|
Drug: Favipiravir
High-dose favipiravir regimen: 1200 mg favipiravir BID x 1 day, and 800 mg favipiravir BID x 4 days
|
|
Placebo Comparator: Placebo
Placebo
|
Drug: Placebo comparator
Placebo BID x 1 day, and Placebo BID x 4 days
|
Detailed Description:
This is a Phase 2, randomized, double-blind, placebo-controlled, multicenter study designed to evaluate the efficacy and safety of a 5-day regimen of favipiravir in influenza patients aged 20-80 years. Enrolled patients will be randomly assigned to 1 of 3 parallel treatment dose groups:Placebo; Low-dose favipiravir (1000 mg favipiravir BID for 1 day, followed by 400 mg favipiravir BID for 4 days); High-dose favipiravir (1200 mg favipiravir BID for 1 day, followed by 800 mg favipiravir BID for 4 days).
Eligibility| Ages Eligible for Study: | 20 Years to 80 Years |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
Inclusion Criteria:
- Patients who test positive for influenza A or B by a commercially available Rapid Antigen Test (RAT) of the nasopharynx. A patient with a negative RAT result may still enroll if the sponsor and investigator agree that there is a known influenza outbreak circulating in the community.
- Patients ≥ 20 but < 65 years of age with a temperature (oral) of 100.4°F (38.0°C) or more; patients ≥ 65 years of age with a temperature (oral) of 100.0°F (37.8°C) or more at the first visit, or in the 6 hours prior if antipyretics were taken.
Patients with 2 or more of the following symptoms (moderate to severe in intensity) at the time of enrollment:
- Cough
- Sore throat
- Headache
- Nasal congestion
- Feeling feverish
- Body aches and pains
- Fatigue (tiredness)
Exclusion Criteria:
- Patients who have had influenza symptoms or fever (i.e., one of the symptoms listed under the inclusion criteria) for 36 hours or more prior to study screening.
- Patients who have underlying chronic respiratory disease (e.g., chronic obstructive pulmonary disease [COPD], chronic bronchitis, diffuse panbronchiolitis, bronchiectasis, pulmonary emphysema, pulmonary fibrosis, bronchial asthma, or old tuberculosis).
- Patients who at the beginning of the study are suspected of having bacterial respiratory infection (i.e., expectoration of purulent or mucopurulent sputum and/or infiltrate in lung in a chest x-ray, etc.).
- Patients who have serious chronic diseases. For example, patients with HIV, cancer (i.e., requiring chemotherapy within the preceding 6 months), cirrhosis (end-stage), and/or unstable renal, cardiac, pulmonary, neurologic, vascular, or endocrinologic disease states requiring medication dose adjustments within the last 30 days.
Contacts and Locations
Hide Study Locations| United States, Alabama | |
| #065 | |
| Birmingham, Alabama, United States | |
| #156 | |
| Huntsville, Alabama, United States | |
| #151 | |
| Mobile, Alabama, United States | |
| #155 | |
| Scottsboro, Alabama, United States | |
| #173 | |
| Toney, Alabama, United States | |
| #161 | |
| Tuscumbia, Alabama, United States | |
| United States, Arizona | |
| #089 | |
| Chandler, Arizona, United States | |
| #018 | |
| Green Valley, Arizona, United States | |
| #110 | |
| Mesa, Arizona, United States | |
| #105 | |
| Phoenix, Arizona, United States | |
| #188 | |
| Tucson, Arizona, United States | |
| United States, Arkansas | |
| #107 | |
| Jonesboro, Arkansas, United States | |
| #019 | |
| North Little Rock, Arkansas, United States | |
| #140 | |
| Searcy, Arkansas, United States | |
| United States, California | |
| #059 | |
| Anaheim, California, United States | |
| #179 | |
| Anaheim, California, United States | |
| #032 | |
| Chino, California, United States | |
| #154 | |
| Cypress, California, United States | |
| #004 | |
| Garden Grove, California, United States | |
| #144 | |
| Long Beach, California, United States | |
| #043 | |
| Los Angeles, California, United States | |
| #139 | |
| Los Angeles, California, United States | |
| #096 | |
| Oxnard, California, United States | |
| #091 | |
| Pacific Palisades, California, United States | |
| #114 | |
| Pasadena, California, United States | |
| #111 | |
| Pico Rivera, California, United States | |
| #097 | |
| Pomona, California, United States | |
| #068 | |
| Sacramento, California, United States | |
| #035 | |
| San Diego, California, United States | |
| #054 | |
| San Diego, California, United States | |
| #042 | |
| Torrance, California, United States | |
| United States, Connecticut | |
| #197 | |
| Bridgeport, Connecticut, United States | |
| United States, Florida | |
| #022 | |
| Boca Raton, Florida, United States | |
| #152 | |
| Boynton Beach, Florida, United States | |
| #060 | |
| Coral Gables, Florida, United States | |
| #007 | |
| Delray Beach, Florida, United States | |
| #086 | |
| Edgewater, Florida, United States | |
| #016 | |
| Ft. Myers, Florida, United States | |
| #038 | |
| Gainesville, Florida, United States | |
| #088 | |
| Hialeah, Florida, United States | |
| #014 | |
| Hialeah, Florida, United States | |
| #052 | |
| Hialeah, Florida, United States | |
| #035 | |
| Jacksonville, Florida, United States | |
| #094 | |
| Kissimmee, Florida, United States | |
| #153 | |
| Kissimmee, Florida, United States | |
| #177 | |
| Lauderdale Lakes, Florida, United States | |
| #012 | |
| Melbourne, Florida, United States | |
| #040 | |
| Miami, Florida, United States | |
| #082 | |
| Miami, Florida, United States | |
| #166 | |
| Miami, Florida, United States | |
| #034 | |
| Miami, Florida, United States | |
| #047 | |
| Miami, Florida, United States | |
| #149 | |
| Miami Gardens, Florida, United States | |
| #134 | |
| Pinellas Park, Florida, United States | |
| #050 | |
| Port Orange, Florida, United States | |
| #163 | |
| Venice, Florida, United States | |
| #020 | |
| West Palm Beach, Florida, United States | |
| United States, Georgia | |
| #814 | |
| Snellville, Georgia, United States | |
| United States, Hawaii | |
| #080 | |
| Honolulu, Hawaii, United States | |
| United States, Idaho | |
| #063 | |
| Boise, Idaho, United States | |
| United States, Illinois | |
| #835 | |
| Oak Lawn, Illinois, United States | |
| United States, Indiana | |
| #804 | |
| Fishers, Indiana, United States | |
| #803 | |
| Franklin, Indiana, United States | |
| #198 | |
| Greenfield, Indiana, United States | |
| #195 | |
| Munci, Indiana, United States | |
| United States, Iowa | |
| #168 | |
| Council Bluffs, Iowa, United States | |
| #827 | |
| West Des Moines, Iowa, United States | |
| United States, Kansas | |
| #008 | |
| Newton, Kansas, United States | |
| #138 | |
| Shawnee, Kansas, United States | |
| #106 | |
| Wichita, Kansas, United States | |
| United States, Kentucky | |
| #055 | |
| Hazard, Kentucky, United States | |
| United States, Louisiana | |
| #823 | |
| Alexandria, Louisiana, United States | |
| #801 | |
| Baton Rouge, Louisiana, United States | |
| United States, Maryland | |
| #048 | |
| Elkridge, Maryland, United States | |
| #085 | |
| Silver Spring, Maryland, United States | |
| United States, Massachusetts | |
| #187 | |
| Worcester, Massachusetts, United States | |
| United States, Michigan | |
| #811 | |
| Detroit, Michigan, United States | |
| United States, Nebraska | |
| #015 | |
| Bellevue, Nebraska, United States | |
| #170 | |
| Bellevue, Nebraska, United States | |
| #081 | |
| Lincoln, Nebraska, United States | |
| #041 | |
| Omaha, Nebraska, United States | |
| #169 | |
| Omaha, Nebraska, United States | |
| #017 | |
| Omaha, Nebraska, United States | |
| United States, Nevada | |
| #112 | |
| Henderson, Nevada, United States | |
| #146 | |
| Henderson, Nevada, United States | |
| #079 | |
| Las Vegas, Nevada, United States | |
| #176 | |
| Las Vegas, Nevada, United States | |
| United States, New York | |
| #171 | |
| Brooklyn, New York, United States | |
| #011 | |
| Endwell, New York, United States | |
| #164 | |
| New York, New York, United States | |
| United States, North Carolina | |
| #021 | |
| Harrisburg, North Carolina, United States | |
| #178 | |
| High Point, North Carolina, United States | |
| #189 | |
| Morganton, North Carolina, United States | |
| United States, Ohio | |
| #030 | |
| Carlisle, Ohio, United States | |
| #006 | |
| Cleveland, Ohio, United States | |
| #182 | |
| Grove City, Ohio, United States | |
| #083 | |
| Wadsworth, Ohio, United States | |
| United States, Oklahoma | |
| #167 | |
| Oklahoma City, Oklahoma, United States | |
| #810 | |
| Oklahoma City, Oklahoma, United States | |
| #071 | |
| Tulsa, Oklahoma, United States | |
| United States, Oregon | |
| #045 | |
| Portland, Oregon, United States | |
| United States, Pennsylvania | |
| #024 | |
| Bridgeville, Pennsylvania, United States | |
| #815 | |
| Clairton, Pennsylvania, United States | |
| #192 | |
| Harleysville, Pennsylvania, United States | |
| #816 | |
| Philladelphia, Pennsylvania, United States | |
| #191 | |
| Pittsburgh, Pennsylvania, United States | |
| #828 | |
| Scottdale, Pennsylvania, United States | |
| #824 | |
| Uniontown, Pennsylvania, United States | |
| United States, Rhode Island | |
| #194 | |
| Johnston, Rhode Island, United States | |
| United States, South Carolina | |
| #819 | |
| Clinton, South Carolina, United States | |
| #805 | |
| Easley, South Carolina, United States | |
| #160 | |
| Murrells Inlet, South Carolina, United States | |
| #833 | |
| Orangeburg, South Carolina, United States | |
| #831 | |
| Pawleys Island, South Carolina, United States | |
| #147 | |
| Simpsonville, South Carolina, United States | |
| United States, South Dakota | |
| #002 | |
| Rapid City, South Dakota, United States | |
| United States, Tennessee | |
| #084 | |
| Clarksville, Tennessee, United States | |
| United States, Texas | |
| #001 | |
| Amarillo, Texas, United States | |
| #812 | |
| Arlington, Texas, United States | |
| #137 | |
| Austin, Texas, United States | |
| #037 | |
| Beaumont, Texas, United States | |
| #113 | |
| Bryan, Texas, United States | |
| #058 | |
| Carrollton, Texas, United States | |
| #066 | |
| Corpus Christi, Texas, United States | |
| #039 | |
| Houston, Texas, United States | |
| #136 | |
| Houston, Texas, United States | |
| #157 | |
| Houston, Texas, United States | |
| #053 | |
| Houston, Texas, United States | |
| #132 | |
| Houston, Texas, United States | |
| #158 | |
| Katy, Texas, United States | |
| #817 | |
| San Antonio, Texas, United States | |
| #003 | |
| San Antonio, Texas, United States | |
| #108 | |
| San Antonio, Texas, United States | |
| #818 | |
| San Antonio, Texas, United States | |
| #180 | |
| San Antonio, Texas, United States | |
| #830 | |
| Sugar Land, Texas, United States | |
| #135 | |
| Tomball, Texas, United States | |
| #809 | |
| Tomball, Texas, United States | |
| United States, Utah | |
| #822 | |
| Draper, Utah, United States | |
| #090 | |
| Orem, Utah, United States | |
| #117 | |
| Salt Lake City, Utah, United States | |
| #832 | |
| Salt Lake City, Utah, United States | |
| #825 | |
| South Jordan, Utah, United States | |
| #133 | |
| West Jordan, Utah, United States | |
| United States, Virginia | |
| #142 | |
| Alexandria, Virginia, United States | |
| #800 | |
| Alexandria, Virginia, United States | |
| #009 | |
| Richmond, Virginia, United States | |
| United States, Washington | |
| #172 | |
| Spokane, Washington, United States | |
| Australia, New South Wales | |
| #216 | |
| Blacktown, New South Wales, Australia | |
| #207 | |
| Burwood, New South Wales, Australia | |
| #214 | |
| Carlton, New South Wales, Australia | |
| #208 | |
| Darlinghurst, New South Wales, Australia | |
| #205 | |
| Glebe, New South Wales, Australia | |
| #201 | |
| Maroubra, New South Wales, Australia | |
| #218 | |
| Neutral Bay, New South Wales, Australia | |
| #202 | |
| Sydney, New South Wales, Australia | |
| #204 | |
| Sydney, New South Wales, Australia | |
| Australia, Queensland | |
| #219 | |
| Biggera Waters, Queensland, Australia | |
| #215 | |
| Caboolture, Queensland, Australia | |
| #221 | |
| Deception Bay, Queensland, Australia | |
| #217 | |
| Jimboomba, Queensland, Australia | |
| #220 | |
| Nerang, Queensland, Australia | |
| #206 | |
| Sherwood, Queensland, Australia | |
| Australia, Western Australia | |
| #223 | |
| Mirrabooka, Western Australia, Australia | |
| #222 | |
| Morley, Western Australia, Australia | |
| #224 | |
| Spearwood, Western Australia, Australia | |
| Chile | |
| #613 | |
| Antofagasta, Chile | |
| #612 | |
| Curico, Chile | |
| #606 | |
| Quillota, Chile | |
| #614 | |
| Rancagua, Chile | |
| #607 | |
| Santiago, Chile | |
| #603 | |
| Santiago, Chile | |
| #609 | |
| Santiago, Chile | |
| #610 | |
| Santiago, Chile | |
| #602 | |
| Talca, Chile | |
| #600 | |
| Temuco, Chile | |
| #601 | |
| Temuco, Chile | |
| #611 | |
| Viña del Mar, Chile | |
| New Zealand | |
| #306 | |
| Otara, Auckland, New Zealand | |
| #305 | |
| Rotorua, Bay of Plenty, New Zealand | |
| #302 | |
| Tauranga, Bay of Plenty, New Zealand | |
| #301 | |
| Christchurch, Canterbury, New Zealand | |
| #304 | |
| Dunedin, Otago, New Zealand | |
| #307 | |
| Auckland, New Zealand | |
| #308 | |
| Hamilton, New Zealand | |
| Paraguay | |
| #702 | |
| Florida, Asuncion, Paraguay | |
| #707 | |
| Pai Perez, Asuncion, Paraguay | |
| #703 | |
| esquina Pai Perez, Asunción, Paraguay | |
| #704 | |
| Campos Cervera, Luque, Paraguay | |
| Peru | |
| #505 | |
| Arequipa, Peru | |
| #511 | |
| Callao, Peru | |
| #506 | |
| Cusco, Peru | |
| #513 | |
| ICA, Peru | |
| #508 | |
| Lima, Peru | |
| #515 | |
| Lima, Peru | |
| #510 | |
| Lima, Peru | |
| #501 | |
| Lima, Peru | |
| #512 | |
| Lima, Peru | |
| #502 | |
| Lima, Peru | |
| #509 | |
| Lima, Peru | |
| #500 | |
| Lima, Peru | |
| #516 | |
| Lima, Peru | |
| #504 | |
| Lima, Peru | |
| #517 | |
| Lima, Peru | |
| #514 | |
| Piura, Peru | |
| #507 | |
| Trujillo, Peru | |
| South Africa | |
| #421 | |
| Benoni, South Africa | |
| #402 | |
| Cape Town, South Africa | |
| #405 | |
| Durban, South Africa | |
| #406 | |
| Durban, South Africa | |
| #408 | |
| Durban, South Africa | |
| #412 | |
| Durban, South Africa | |
| #414 | |
| Durban, South Africa | |
| #404 | |
| Johannesburg, South Africa | |
| #422 | |
| Kemptonpark, South Africa | |
| #411 | |
| Kraaifontein, South Africa | |
| #410 | |
| Krugersdorp, South Africa | |
| #407 | |
| Port Elizabeth, South Africa | |
| #415 | |
| Pretoria, South Africa | |
| #413 | |
| Pretoria, South Africa | |
| #409 | |
| Pretoria, South Africa | |
| #418 | |
| Pretoria, South Africa | |
| #419 | |
| Pretoria, South Africa | |
| #423 | |
| Pretoria, South Africa | |
| #420 | |
| Pretoria, South Africa | |
| #417 | |
| Sandton, South Africa | |
| #416 | |
| Somerset West, South Africa | |
| #401 | |
| Soweto, South Africa | |
| Study Director: | Macy Guiont | INC Research |
More Information
No publications provided
| Responsible Party: | FujiFilm Pharmaceuticals U.S.A., Inc. |
| ClinicalTrials.gov Identifier: | NCT01068912 History of Changes |
| Other Study ID Numbers: | T705aUS204 |
| Study First Received: | February 12, 2010 |
| Last Updated: | November 15, 2012 |
| Health Authority: | United States: Food and Drug Administration |
Keywords provided by FujiFilm Pharmaceuticals U.S.A., Inc.:
|
Influenza |
Additional relevant MeSH terms:
|
Influenza, Human Orthomyxoviridae Infections RNA Virus Infections |
Virus Diseases Respiratory Tract Infections Respiratory Tract Diseases |
ClinicalTrials.gov processed this record on June 18, 2013