Roflumilast in Chronic Obstructive Pulmonary Disease (COPD) Patients Treated With Fixed Dose Combinations of Long-acting β2-agonist (LABA) and Inhaled Corticosteroid (ICS)
|
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. |
| ClinicalTrials.gov Identifier: NCT01443845 |
|
Recruitment Status :
Completed
First Posted : September 30, 2011
Results First Posted : January 25, 2017
Last Update Posted : April 13, 2017
|
Sponsor:
AstraZeneca
Information provided by (Responsible Party):
AstraZeneca
- Study Details
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Brief Summary:
To demonstrate the additional benefit of roflumilast when added on to fixed-dose combination (FDC) LABA/ICS in the reduction of exacerbations in subjects with severe to very severe COPD.
| Condition or disease | Intervention/treatment | Phase |
|---|---|---|
| COPD COPD Exacerbation Lung Diseases Respiratory Disorders Pulmonary Disease Chronic Obstructive Lung Diseases Chronic Obstructive Airway Disease | Drug: Roflumilast Drug: Placebo | Phase 4 |
| Study Type : | Interventional (Clinical Trial) |
| Actual Enrollment : | 2354 participants |
| Allocation: | Randomized |
| Intervention Model: | Parallel Assignment |
| Masking: | Triple (Participant, Investigator, Outcomes Assessor) |
| Primary Purpose: | Treatment |
| Official Title: | Study to Evaluate the Effect of Roflumilast 500 μg on Exacerbation Rate in Subjects With Chronic Obstructive Pulmonary Disease (COPD) Treated With a Fixed-Dose Combination of Long-Acting Beta Agonist and Inhaled Corticosteroid (LABA/ICS) |
| Actual Study Start Date : | September 30, 2011 |
| Actual Primary Completion Date : | November 30, 2015 |
| Actual Study Completion Date : | January 31, 2016 |
Resource links provided by the National Library of Medicine
Drug Information available for:
Roflumilast
| Arm | Intervention/treatment |
|---|---|
|
Experimental: 1
Roflumilast
|
Drug: Roflumilast
Roflumilast 500 µg, oral administration, once per day
Other Name: Daliresp |
|
Placebo Comparator: 2
Placebo
|
Drug: Placebo
Dose-matched placebo, oral administration, once per day. |
Primary Outcome Measures :
- Rate of Moderate or Severe COPD Exacerbations Per Patient Per Year. [ Time Frame: Baseline to Week 52 ]Rate of moderate or severe COPD exacerbations, defined as requiring oral or parenteral glucocorticosteroids (moderate) or requiring hospitalization and/or leading to death (severe), during the double-blind treatment period.
Secondary Outcome Measures :
- Rate of COPD Exacerbations That Led to Hospitalization or Death (ie, Severe COPD Exacerbations) [ Time Frame: Week 0 (Visit 2) to Week 52 ]Rate of moderate or severe COPD exacerbations, defined as requiring hospitalization and/or leading to death (severe), during the double-blind treatment period.
- Rate of Moderate or Severe COPD Exacerbations or COPD Exacerbations Treated With Antibiotics [ Time Frame: Week 0 (Visit 2) to Week 52 ]Rate of moderate or severe COPD exacerbations treated with antibiotics during the double-blind treatment period.
- Mean Change in Predose Forced Expiratory Volume in 1 Second (FEV1) [ Time Frame: Week 0 (Visit 2) to Week 52 ]Mean change from randomization (Visit 2) over 52 weeks of treatment in predose forced expiratory volume in 1 second (FEV1)
Information from the National Library of Medicine
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
| Ages Eligible for Study: | 40 Years and older (Adult, Older Adult) |
| Sexes Eligible for Study: | All |
| Accepts Healthy Volunteers: | No |
Criteria
Inclusion Criteria:
- 1. Male or female patients at least 40 years of age
- 2. History of COPD (according to Global Initiative for Chronic Obstructive Lung Disease [GOLD] 2010) for at least 12 months prior to Screening (Visit 1) associated with chronic productive cough for 3 months in each of 2 consecutive years (with other causes of productive cough excluded). Only patients with chronic bronchitis will be included (concomitant emphysema is permitted)
- 3. Forced expiratory volume after 1 second (FEV1)/forced vital capacity (FVC) ratio (postbronchodilator) < 70% at Screening (Visit 1)
- 4. FEV1 (postbronchodilator) ≤ 50% of predicted at Screening (Visit 1)
- 5. At least two documented moderate or severe COPD exacerbations within 12 months prior to Screening (Visit 1)
- 6. Patients must be on FDC LABA/ICS treatment ≥ 3 months prior to Screening (Visit 1)
- 7. Former smokers (defined as smoking cessation at least 1 year ago) or current smokers (including patients who ceased smoking within the past year) both with a smoking history of at least 20 pack-years
Exclusion Criteria:
- 1. Moderate or severe COPD exacerbation and/or COPD exacerbations treated with antibiotics or systemic glucocorticosteroids within 4 weeks of Screening (Visit 1) (ie, patients must be clinically stable)
- 2. Known alpha-1-antitrypsin deficiency
- 3. Current diagnosis of asthma (either controlled or uncontrolled) (Note: History of childhood asthma is not exclusionary.)
- 4. Body mass index (BMI) ≥ 45 kg/m2
- 5. Patients with a history (within 5 years) or current diagnosis of cancer other than basal or squamous cell skin cancer
Information from the National Library of Medicine
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01443845
Locations
Show 338 study locations
Hide 338 study locations
| United States, Alabama | |
| Forest Investigative Site 081 | |
| Anniston, Alabama, United States, 36207 | |
| Forest Investigative Site 065 | |
| Athens, Alabama, United States, 35611 | |
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| Florence, Alabama, United States, 35630 | |
| Forest Investigative Site 073 | |
| Mobile, Alabama, United States, 36608 | |
| United States, Arizona | |
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| Mesa, Arizona, United States, 85206 | |
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| Peoria, Arizona, United States, 85381 | |
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| Phoenix, Arizona, United States, 85018 | |
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| Phoenix, Arizona, United States, 85020 | |
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| Phoenix, Arizona, United States, 85028 | |
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| Phoenix, Arizona, United States, 85050 | |
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| Fort Smith, Arkansas, United States, 72901 | |
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| Little Rock, Arkansas, United States, 72205 | |
| United States, California | |
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| Bellflower, California, United States, 90706 | |
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| Fresno, California, United States, 93721 | |
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| Fresno, California, United States, 93726 | |
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| Fullerton, California, United States, 92835 | |
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| Garden Grove, California, United States, 92844 | |
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| Lakewood, California, United States, 90712 | |
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| Long Beach, California, United States, 90822 | |
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| Los Angeles, California, United States, 90048 | |
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| Los Angeles, California, United States, 90073 | |
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| Northridge, California, United States, 91325 | |
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| Palo Alto, California, United States, 94555 | |
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| Pismo Beach, California, United States, 93449 | |
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| Riverside, California, United States, 92506 | |
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| Roseville, California, United States, 95661 | |
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| Sacramento, California, United States, 95817 | |
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| San Diego, California, United States, 92117 | |
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| San Diego, California, United States, 92120 | |
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| San Jose, California, United States, 95124 | |
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| Torrance, California, United States, 90502 | |
| United States, Connecticut | |
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| Stamford, Connecticut, United States, 06902 | |
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| Waterbury, Connecticut, United States, 06708 | |
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| Newark, Delaware, United States, 19713 | |
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| Brandon, Florida, United States, 33511 | |
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| Brandon, Florida, United States, 33511 | |
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| Brandon, Florida, United States, 33511 | |
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| Chiefland, Florida, United States, 32626 | |
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| Clearwater, Florida, United States, 33756 | |
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| Clearwater, Florida, United States, 33765 | |
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| Coral Gables, Florida, United States, 33134 | |
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| DeFuniak Springs, Florida, United States, 32435 | |
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| Fort Lauderdale, Florida, United States, 33316 | |
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| Fort Walton Beach, Florida, United States, 32547 | |
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| Gainesville, Florida, United States, 32608 | |
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| Hollywood, Florida, United States, 33024 | |
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| Jacksonville, Florida, United States, 32216 | |
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| Kissimmee, Florida, United States, 34741 | |
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| Kissimmee, Florida, United States, 34741 | |
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| Miami, Florida, United States, 33015 | |
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| Miami, Florida, United States, 33136 | |
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| Miami, Florida, United States, 33175 | |
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| Naples, Florida, United States, 34119 | |
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| Orlando, Florida, United States, 32822 | |
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| Port Orange, Florida, United States, 32127 | |
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| Saint Petersburg, Florida, United States, 33744 | |
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| St. Cloud, Florida, United States, 34769 | |
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| St. Petersburg, Florida, United States, 33704 | |
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| Tamarac, Florida, United States, 33312 | |
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| Tampa, Florida, United States, 33607 | |
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| Tampa, Florida, United States, 33613 | |
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| Winter Park, Florida, United States, 32789 | |
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| Winter Park, Florida, United States, 32792 | |
| United States, Georgia | |
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| Canton, Georgia, United States, 30114 | |
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| Dawsonville, Georgia, United States, 30534 | |
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| Duluth, Georgia, United States, 30096 | |
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| Gainesville, Georgia, United States, 30501 | |
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| Lawrenceville, Georgia, United States, 30046 | |
| Forest Investigative Site 321 | |
| Woodstock, Georgia, United States, 30189 | |
| United States, Idaho | |
| Forest Investigative Site 008 | |
| Coeur d' Alene, Idaho, United States, 83814 | |
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| Eagle, Idaho, United States, 83616 | |
| United States, Illinois | |
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| Bolingbrook, Illinois, United States, 60490 | |
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| Downers Grove, Illinois, United States, 60515 | |
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| Elk Grove Village, Illinois, United States, 60007 | |
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| Oak Lawn, Illinois, United States, 60453 | |
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| Peoria, Illinois, United States, 61637 | |
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| Springfield, Illinois, United States, 62703 | |
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| Elwood, Indiana, United States, 46036 | |
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| Lafayette, Indiana, United States, 47904 | |
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| Muncie, Indiana, United States, 47303 | |
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| Council Bluffs, Iowa, United States, 51503 | |
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| Iowa City, Iowa, United States, 52242 | |
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| Olathe, Kansas, United States, 66061 | |
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| Topeka, Kansas, United States, 66606 | |
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| Wichita, Kansas, United States, 67205 | |
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| Bowling Green, Kentucky, United States, 42101 | |
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| Crescent Springs, Kentucky, United States, 41017 | |
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| Hazard, Kentucky, United States, 41701 | |
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| Lexington, Kentucky, United States, 40504 | |
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| Louisville, Kentucky, United States, 40215 | |
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| Owensboro, Kentucky, United States, 42303 | |
| United States, Louisiana | |
| Forest Investigative Site 273 | |
| Lafayette, Louisiana, United States, 70503 | |
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| Opelousas, Louisiana, United States, 70570 | |
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| Sunset, Louisiana, United States, 70584 | |
| United States, Maine | |
| Forest Investigative Site 128 | |
| Lewiston, Maine, United States, 04240 | |
| United States, Maryland | |
| Forest Investigative Site 248 | |
| Baltimore, Maryland, United States, 21224 | |
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| Columbia, Maryland, United States, 21044 | |
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| Towson, Maryland, United States, 21204 | |
| United States, Massachusetts | |
| Forest Investigative Site 106 | |
| Fall River, Massachusetts, United States, 02720 | |
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| North Dartmouth, Massachusetts, United States, 02747 | |
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| Pittsfield, Massachusetts, United States, 01201 | |
| United States, Michigan | |
| Forest Investigative Site 157 | |
| Ann Arbor, Michigan, United States, 48106 | |
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| Detroit, Michigan, United States, 48202 | |
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| Kalamazoo, Michigan, United States, 49009 | |
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| Livonia, Michigan, United States, 48152 | |
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| Saint Joseph, Michigan, United States, 49085 | |
| United States, Minnesota | |
| Forest Investigative Site 303 | |
| Edina, Minnesota, United States, 55435 | |
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| Fridley, Minnesota, United States, 55432 | |
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| Rochester, Minnesota, United States, 55905 | |
| United States, Missouri | |
| Forest Investigative Site 033 | |
| Chesterfield, Missouri, United States, 63017 | |
| Forest Investigative Site 117 | |
| Springfield, Missouri, United States, 65803 | |
| Forest Investigative Site 098 | |
| St. Charles, Missouri, United States, 63301 | |
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| St. Louis, Missouri, United States, 63141 | |
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| St. Louis, Missouri, United States, 63143 | |
| United States, Montana | |
| Forest Investigative Site 333 | |
| Butte, Montana, United States, 59701 | |
| Forest Investigative Site 029 | |
| Missoula, Montana, United States, 59808 | |
| United States, Nebraska | |
| Forest Investigative Site 197 | |
| Bellevue, Nebraska, United States, 68123 | |
| Forest Investigative Site 267 | |
| Fremont, Nebraska, United States, 68025 | |
| Forest Investigative Site 337 | |
| Fremont, Nebraska, United States, 68028 | |
| Forest Investigative Site 315 | |
| Lincoln, Nebraska, United States, 68506 | |
| Forest Investigative Site 108 | |
| Lincoln, Nebraska, United States, 68510 | |
| Forest Investigative Site 345 | |
| Omaha, Nebraska, United States, 68114 | |
| United States, Nevada | |
| Forest Investigative Site 079 | |
| Henderson, Nevada, United States, 89014 | |
| Forest Investigative Site 270 | |
| Henderson, Nevada, United States, 89052 | |
| United States, New Jersey | |
| Forest Investigative Site 067 | |
| Cherry Hill, New Jersey, United States, 08003 | |
| Forest Investigative Site 327 | |
| Clifton, New Jersey, United States, 07012 | |
| Forest Investigative Site 144 | |
| Hackensack, New Jersey, United States, 07601 | |
| Forest Investigative Site 317 | |
| Summit, New Jersey, United States, 07901 | |
| United States, New York | |
| Forest Investigative Site 226 | |
| Brooklyn, New York, United States, 11229 | |
| Forest Investigative Site 199 | |
| Great Neck, New York, United States, 11021 | |
| Forest Investigative Site 071 | |
| New York, New York, United States, 10029 | |
| Forest Investigative Site 013 | |
| Rochester, New York, United States, 14618 | |
| Forest Investigative Site 066 | |
| Syracuse, New York, United States, 13210 | |
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| West Seneca, New York, United States, 14224 | |
| United States, North Carolina | |
| Forest Investigative Site 313 | |
| Asheville, North Carolina, United States, 28801 | |
| Forest Investigative Site 193 | |
| Burlington, North Carolina, United States, 27215 | |
| Forest Investigative Site 142 | |
| Charlotte, North Carolina, United States, 28207 | |
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| Charlotte, North Carolina, United States, 28277 | |
| Forest Investigative Site 019 | |
| Elizabeth City, North Carolina, United States, 27909 | |
| Forest Investigative Site 318 | |
| Shelby, North Carolina, United States, 28150 | |
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| Shelby, North Carolina, United States, 28152 | |
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| Wilmington, North Carolina, United States, 28451 | |
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| Winston Salem, North Carolina, United States, 27103 | |
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| Winston-Salem, North Carolina, United States, 27103 | |
| United States, Ohio | |
| Forest Investigative Site 164 | |
| Canton, Ohio, United States, 44718 | |
| Forest Investigative Site 061 | |
| Cincinatti, Ohio, United States, 45231 | |
| Forest Investigative Site 149 | |
| Cincinnati, Ohio, United States, 45219 | |
| Forest Investigative Site 040 | |
| Cincinnati, Ohio, United States, 45242 | |
| Forest Investigative Site 280 | |
| Cincinnati, Ohio, United States, 45267 | |
| Forest Investigative Site 009 | |
| Columbus, Ohio, United States, 43213 | |
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| Dayton, Ohio, United States, 45439 | |
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| Marion, Ohio, United States, 43302 | |
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| Marion, Ohio, United States, 43302 | |
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| Toledo, Ohio, United States, 43606 | |
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| Zanesville, Ohio, United States, 43701 | |
| United States, Oklahoma | |
| Forest Investigative Site 167 | |
| Oklahoma City, Oklahoma, United States, 73103 | |
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| Oklahoma City, Oklahoma, United States, 73103 | |
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| Tulsa, Oklahoma, United States, 74135 | |
| United States, Oregon | |
| Forest Investigative Site 285 | |
| Medford, Oregon, United States, 97501 | |
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| Portland, Oregon, United States, 97220 | |
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| Portland, Oregon, United States, 97227 | |
| United States, Pennsylvania | |
| Forest Investigative Site 086 | |
| Altoona, Pennsylvania, United States, 16601 | |
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| Beaver, Pennsylvania, United States, 15009 | |
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| Downingtown, Pennsylvania, United States, 19335 | |
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| Erie, Pennsylvania, United States, 16506 | |
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| Norristown, Pennsylvania, United States, 19401 | |
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| Philadelphia, Pennsylvania, United States, 19107 | |
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| Philadelphia, Pennsylvania, United States, 19140 | |
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| Pittsburgh, Pennsylvania, United States, 15221 | |
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| Pittsburgh, Pennsylvania, United States, 15240 | |
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| Pittsburgh, Pennsylvania, United States, 15243 | |
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| Tipton, Pennsylvania, United States, 16684 | |
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| Uniontown, Pennsylvania, United States, 15401 | |
| United States, Rhode Island | |
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| Johnston, Rhode Island, United States, 02919 | |
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| Lincoln, Rhode Island, United States, 02865 | |
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| Providence, Rhode Island, United States, 02903 | |
| United States, South Carolina | |
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| Charleston, South Carolina, United States, 29406 | |
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| Easley, South Carolina, United States, 29640 | |
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| Fort Mill, South Carolina, United States, 29707 | |
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| Gaffney, South Carolina, United States, 29340 | |
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| Greenville, South Carolina, United States, 29615 | |
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| Pelzer, South Carolina, United States, 29669 | |
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| Rock Hill, South Carolina, United States, 29732 | |
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| Spartanburg, South Carolina, United States, 29303 | |
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| Union, South Carolina, United States, 29379 | |
| United States, South Dakota | |
| Forest Investigative Site 058 | |
| Rapid City, South Dakota, United States, 57702 | |
| United States, Tennessee | |
| Forest Investigative Site 223 | |
| Bristol, Tennessee, United States, 37620 | |
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| Fayetteville, Tennessee, United States, 37334 | |
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| Shelbyville, Tennessee, United States, 37160 | |
| United States, Texas | |
| Forest Investigative Site 024 | |
| Arlington, Texas, United States, 76012 | |
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| Boerne, Texas, United States, 78006 | |
| Forest Investigative Site 090 | |
| Corsicana, Texas, United States, 75110 | |
| Forest Investigative Site 172 | |
| Dallas, Texas, United States, 75246 | |
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| Houston, Texas, United States, 77030 | |
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| Houston, Texas, United States, 77030 | |
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| Houston, Texas, United States, 77030 | |
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| Houston, Texas, United States, 77034 | |
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| Houston, Texas, United States, 77079 | |
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| Huntsville, Texas, United States, 77340 | |
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| Longview, Texas, United States, 75605 | |
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| Tyler, Texas, United States, 75708 | |
| United States, Vermont | |
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| Colchester, Vermont, United States, 05446 | |
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| Abingdon, Virginia, United States, 24210 | |
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| Richmond, Virginia, United States, 23225 | |
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| Richmond, Virginia, United States, 23229 | |
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| Richmond, Virginia, United States, 23233 | |
| United States, Washington | |
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| Spokane, Washington, United States, 99202 | |
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| Spokane, Washington, United States, 99204 | |
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| Tacoma, Washington, United States, 98405 | |
| United States, West Virginia | |
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| Charleston, West Virginia, United States, 25304 | |
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| Morgantown, West Virginia, United States, 26505 | |
| United States, Wisconsin | |
| Forest Investigative Site 146 | |
| West Allis, Wisconsin, United States, 53227 | |
| Argentina | |
| Forest Investigative Site 418 | |
| Ciudad Autonoma de Buenos Aires, Buenos Aires, Argentina, C1425DES | |
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| Florida, Buenos Aires, Argentina, B1602DOH | |
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| La Plata, Buenos Aires, Argentina, 1900 | |
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| Mar del Plata, Buenos Aires, Argentina, CP 7600 | |
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| Parana, Entre Rios, Argentina, E3100BHK | |
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| Lanús Este, Provincia de Buenos Aires, Argentina, B1824 KAJ | |
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| Rosario, Santa Fe, Argentina, S2000DBS | |
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| Rosario, Santa Fe, Argentina, S2000KZD | |
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| Buenos Aires, Argentina, B1842DID | |
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| Ciudad Autonoma de Buenos Aires, Argentina, C1015ABO | |
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| Ciudad Autonoma de Buenos Aires, Argentina, C1122AAK | |
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| Ciudad Autonoma de Buenos Aires, Argentina, C1426ABP | |
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| Ciudad Autonoma de Buenos Aires, Argentina, C1428DDE | |
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| Derqui Pilar - Buenos Aires, Argentina, B1629ODT | |
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| Florencio Varela, Argentina, 1888 | |
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| La Plata, Argentina, 1900 | |
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| Mendoza, Argentina, 5500 | |
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| Mendoza, Argentina, M5500CCG | |
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| San Miguel de Tucuman, Argentina, T4000IFL | |
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| Santa Fe, Argentina, 3000 | |
| Canada, Alberta | |
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| Calgary, Alberta, Canada, T2K5R7 | |
| Canada, British Columbia | |
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| North Vancouver, British Columbia, Canada, V7M 2H9 | |
| Canada, Ontario | |
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| Burlington, Ontario, Canada, L7N 3V2 | |
| Canada, Quebec | |
| Forest Investigative Site 185 | |
| Montreal, Quebec, Canada, H2R 1V6 | |
| Canada, Saskatchewan | |
| Forest Investigative Site 127 | |
| Saskatoon, Saskatchewan, Canada, S7N0W8 | |
| Chile | |
| Forest Investigative Site 421 | |
| Talcahuano, Chile, 4270918 | |
| Colombia | |
| Forest Investigative Site 442 | |
| Bogota, Colombia, 111111 | |
| Forest Investigative Site 443 | |
| Bogota, Colombia, 111711 | |
| Italy | |
| Forest Investigative Site 461 | |
| Chieti, Italy, 66013 | |
| Forest Investigative Site 464 | |
| Roma, Italy, 00168 | |
| Malaysia | |
| Forest Investigative Site 505 | |
| Batu Caves, Malaysia, 68100 | |
| Forest Investigative Site 501 | |
| Kuala Lumpur, Malaysia, 50588 | |
| Forest Investigative Site 504 | |
| Kuala Lumpur, Malaysia, 59100 | |
| Forest Investigative Site 502 | |
| Kuantan, Malaysia, 25100 | |
| Mexico | |
| Forest Investigative Site 522 | |
| Monterrey, Nuevo León, Mexico, 64460 | |
| Forest Investigative Site 526 | |
| Merida, Yucatan, Mexico, 97070 | |
| Forest Investigative Site 524 | |
| Guadalajara, Mexico, 44100 | |
| Forest Investigative Site 521 | |
| Monterrey, Mexico, 64060 | |
| Peru | |
| Forest Investigative Site 543 | |
| Bellavista, Peru, Callao 2 | |
| Forest Investigative Site 550 | |
| Lima, Peru, Lima 11 | |
| Forest Investigative Site 551 | |
| Lima, Peru, Lima 13 | |
| Forest Investigative Site 545 | |
| Lima, Peru, Lima 18 | |
| Forest Investigative Site 546 | |
| Lima, Peru, Lima 27 | |
| Forest Investigative Site 549 | |
| Lima, Peru, Lima 31 | |
| Forest Investigative Site 544 | |
| Lima, Peru, Lima 33 | |
| Forest Investigative Site 541 | |
| Pueblo Libre, Peru, Lima 21 | |
| Philippines | |
| Forest Investigative Site 569 | |
| Cavite, Philippines, 4114 | |
| Forest Investigative Site 567 | |
| Iloilo City, Philippines, 5000 | |
| Forest Investigative Site 568 | |
| Iloilo City, Philippines, 5000 | |
| Forest Investigative Site 565 | |
| Manila, Philippines, 1000 | |
| Forest Investigative Site 563 | |
| Pasig City, Philippines, 1600 | |
| Forest Investigative Site 562 | |
| Quezon City, Philippines, 1100 | |
| Forest Investigative Site 564 | |
| Quezon City, Philippines, 1100 | |
| Forest Investigative Site 566 | |
| Quezon City, Philippines, 1109 | |
| Forest Investigative Site 561 | |
| Quezon City, Philippines, 1118 | |
| Romania | |
| Forest Investigative Site 585 | |
| Brasov, Romania, 500112 | |
| Forest Investigative Site 586 | |
| Bucharest, Romania, 10457 | |
| Forest Investigative Site 587 | |
| Bucharest, Romania, 30303 | |
| Forest Investigative Site 588 | |
| Bucharest, Romania, 31298 | |
| Forest Investigative Site 584 | |
| Bucharest, Romania, 50159 | |
| Forest Investigative Site 582 | |
| Bucharest, Romania, 50554 | |
| Forest Investigative Site 581 | |
| Iasi, Romania, 700115 | |
| Forest Investigative Site 583 | |
| Iasi, Romania, 700115 | |
| Russian Federation | |
| Forest Investigative Site 608 | |
| Barnaul, Russian Federation, 656045 | |
| Forest Investigative Site 602 | |
| Kazan, Russian Federation, 420015 | |
| Forest Investigative Site 618 | |
| Kemerovo, Russian Federation, 650000 | |
| Forest Investigative Site 609 | |
| Krasnodar, Russian Federation, 350012 | |
| Forest Investigative Site 614 | |
| Krasnoyarsk, Russian Federation, 660022 | |
| Forest Investigative Site 617 | |
| Moscow, Russian Federation, 125367 | |
| Forest Investigative Site 605 | |
| Novosibirsk, Russian Federation, 630099 | |
| Forest Investigative Site 600 | |
| St Petersburg, Russian Federation, 197706 | |
| Forest Investigative Site 612 | |
| St. Petersburg, Russian Federation, 193231 | |
| Forest Investigative Site 619 | |
| St. Petersburg, Russian Federation, 194044 | |
| Forest Investigative Site 604 | |
| St. Petersburg, Russian Federation, 194358 | |
| Forest Investigative Site 611 | |
| St. Petersburg, Russian Federation, 196084 | |
| Forest Investigative Site 610 | |
| St. Petersburg, Russian Federation, 196247 | |
| Forest Investigative Site 601 | |
| St. Petersburg, Russian Federation, 197110 | |
| Forest Investigative Site 606 | |
| St.Petersburg, Russian Federation, 191025 | |
| Forest Investigative Site 607 | |
| Tomsk, Russian Federation, 634063 | |
| Forest Investigative Site 620 | |
| Yaroslavl, Russian Federation, 150003 | |
| Serbia | |
| Forest Investigative Site 629 | |
| Knez Selo, Nišava District, Serbia, 18204 | |
| Forest Investigative Site 622 | |
| Belgrade, Serbia, 11000 | |
| Forest Investigative Site 623 | |
| Belgrade, Serbia, 11000 | |
| Forest Investigative Site 624 | |
| Belgrade, Serbia, 11000 | |
| Forest Investigative Site 625 | |
| Beograd, Serbia, 11000 | |
| Forest Investigative Site 628 | |
| Kragujevac, Serbia, 34000 | |
| Forest Investigative Site 627 | |
| Sremska Kamenica, Serbia, 21204 | |
| Spain | |
| Forest Investigative Site 641 | |
| Cadiz, Spain, 11009 | |
| Forest Investigative Site 647 | |
| Loja, Spain, 18300 | |
| Forest Investigative Site 644 | |
| Salt, Spain, 17190 | |
| Taiwan | |
| Forest Investigative Site 723 | |
| Kaohsiung Hsien, Taiwan, 833 | |
| Forest Investigative Site 724 | |
| Puzih City, Taiwan, 61363 | |
| Forest Investigative Site 725 | |
| Taipei, Taiwan, 100 | |
| Forest Investigative Site 722 | |
| Taipei, Taiwan, 11490 | |
| Thailand | |
| Forest Investigative Site 662 | |
| Hat Yai, Songkhla, Thailand, 90110 | |
| Forest Investigative Site 664 | |
| Bangkok, Thailand, 10400 | |
| Forest Investigative Site 663 | |
| Bangkok, Thailand, 11000 | |
| Forest Investigative Site 661 | |
| Muang, Thailand, 40002 | |
| Ukraine | |
| Forest Investigative Site 699 | |
| Cherkasy, Ukraine, 18009 | |
| Forest Investigative Site 691 | |
| Dnipropetrovsk, Ukraine, 49074 | |
| Forest Investigative Site 692 | |
| Donetsk, Ukraine, 83003 | |
| Forest Investigative Site 689 | |
| Donetsk, Ukraine, 83099 | |
| Forest Investigative Site 690 | |
| Ivano-Frankivsk, Ukraine, 76018 | |
| Forest Investigative Site 697 | |
| Kharkiv, Ukraine, 61035 | |
| Forest Investigative Site 693 | |
| Kharkiv, Ukraine, 61039 | |
| Forest Investigative Site 682 | |
| Kharkiv, Ukraine, 61124 | |
| Forest Investigative Site 709 | |
| Kremenchuk, Ukraine | |
| Forest Investigative Site 698 | |
| Kyiv, Ukraine, 3049 | |
| Forest Investigative Site 683 | |
| Kyiv, Ukraine, 3680 | |
| Forest Investigative Site 684 | |
| Kyiv, Ukraine, 3680 | |
| Forest Investigative Site 687 | |
| Kyiv, Ukraine, 3680 | |
| Forest Investigative Site 685 | |
| Kyiv, Ukraine, 4050 | |
| Forest Investigative Site 681 | |
| Lviv, Ukraine, 79013 | |
| Forest Investigative Site 708 | |
| Mykolayiv, Ukraine, 54003 | |
| Forest Investigative Site 706 | |
| Poltava, Ukraine, 36038 | |
| Forest Investigative Site 695 | |
| Sumy, Ukraine, 40000 | |
| Forest Investigative Site 707 | |
| Vinnitsa, Ukraine, 21001 | |
| Forest Investigative Site 688 | |
| Zaporizhzhia, Ukraine, 69600 | |
| Forest Investigative Site 696 | |
| Zaporizhzhya, Ukraine, 69035 | |
| Forest Investigative Site 694 | |
| Zaporizhzhya, Ukraine, 69106 | |
| Forest Investigative Site 705 | |
| Zaporizhzhya, Ukraine, 69118 | |
Sponsors and Collaborators
AstraZeneca
Additional Information:
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
| Responsible Party: | AstraZeneca |
| ClinicalTrials.gov Identifier: | NCT01443845 |
| Other Study ID Numbers: |
ROF-MD-07 |
| First Posted: | September 30, 2011 Key Record Dates |
| Results First Posted: | January 25, 2017 |
| Last Update Posted: | April 13, 2017 |
| Last Verified: | March 2017 |
Keywords provided by AstraZeneca:
|
COPD Exacerbations Roflumilast Daliresp |
Additional relevant MeSH terms:
|
Pulmonary Disease, Chronic Obstructive Lung Diseases Lung Diseases, Obstructive Respiration Disorders Respiratory Tract Diseases |

