MedPath

Trial to Demonstrate the Efficacy and Safety of Conversion to Lacosamide Monotherapy for Partial-onset Seizures

Phase 3
Completed
Conditions
Epilepsy
Interventions
Registration Number
NCT00520741
Lead Sponsor
UCB BIOSCIENCES, Inc.
Brief Summary

The objective of this historical-controlled trial is to demonstrate the efficacy and safety of conversion to Lacosamide monotherapy in subjects with Partial-onset Seizures who are withdrawn from 1 to 2 marketed antiepileptic drugs.

Detailed Description

Sudden unexplained death in epilepsy have been reported in epilepsy patients. A causal relationship with the administration of antiepileptic drugs has not been established. The most important known risk factor for sudden unexplained death in epilepsy (SUDEP) is the occurrence and frequency of generalized tonic-clonic seizures (GTCS). Twenty-seven patients with only GTCS were enrolled in the conversion to monotherapy study. In this study, two patients with only GTCS had SUDEP. Due to the potential increased risk of SUDEP in patients with only GTCS in a trial setting, the 1 remaining patient with only GTCS was withdrawn from this study.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
426
Inclusion Criteria
  • Subject has a diagnosis of Epilepsy with Simple Partial Seizures (motor component) and or Complex Partial Seizures (with or without secondary generalization)
  • Must be experiencing 2 to 40 seizures per 28-day period
  • Stable dose of 1 or 2 marketed antiepileptic drugs
  • Second Antiepileptic Drug (AED) must be less than or equal to 50 % of the minimum recommended maintenance dose per USA product label at screening
Exclusion Criteria
  • Subject has a history of primary generalized or unclassified seizures
  • Seizure disorder primarily characterized by isolated auras
  • History of status epilepticus
  • Seizures that are uncountable due to clustering
  • Has greater than 5 seizures/day
  • Subjects taking Benzodiazepines, Phenobarbital or Primidone
  • Subject has Vagus Nerve Stimulation (VNS)
  • Significant medical or psychiatric condition
  • History of alcohol or drug abuse
  • History of Ethosuximide use, Felbamate use after 1994 or Vigabatrin use after 1997

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Lacosamide 400 mg/dayLacosamideLacosamide 400 mg/day
Lacosamide 300 mg/dayLacosamideLacosamide 300 mg/day
Primary Outcome Measures
NameTimeMethod
Percentage of Subjects (Using Kaplan-Meier) Who Are Identified As Meeting At Least 1 Pre-defined Exit Criteria By Day 112 Relative To The Start of Withdrawal of Background Antiepileptic Drug(s)16 Weeks Maintenance Period (approximately 112 days)

Pre-defined exit criteria:

1. A 2-fold or greater increase in average monthly (28-day) partial seizure frequency (motor and non-motor) compared to average monthly partial seizure frequency (motor and non-motor) during the Baseline Phase

2. A 2-fold or greater increase in consecutive 2-day partial seizure frequency (motor and non-motor) versus the highest consecutive 2-day partial seizure frequency (motor and non-motor) that occurred during the Baseline Phase.

Note: if the highest consecutive 2-day partial seizure frequency during the Baseline Phase is 1, a 2-day partial seizure frequency of ≥3 is required to meet this exit criterion

3. Occurrence of a single generalized tonic-clonic seizure if none had occurred in the 6 months prior to randomization

4. A prolongation or worsening of overall seizure duration, frequency, type or pattern considered by the investigator as serious enough to warrant trial discontinuation

5. Status epilepticus, or new onset of serial/cluster seizures

Secondary Outcome Measures
NameTimeMethod
Percentage of Subjects (Using Kaplan-Meier) Who Are Identified as Meeting at Least 1 Pre-defined Exit Criteria by Day 112, Withdrew Due to Adverse Event (AE) or Withdrew Due to Lack of Efficacy During The Maintenance Period16 Weeks Maintenance Period (approximately 112 days)

Subjects were classified as having an exit event if they experienced at least 1 of the following events during the Maintenance Phase as of Day 112:

1. Met at least 1 exit criterion based on the calculations applied for the Primary Efficacy Analysis

2. Withdrawal due to AE with onset during the Maintenance Phase

3. Withdrew prematurely due to lack of efficacy during the Maintenance Phase

The date the subject experienced the event was set to the earliest date the subject met an exit criterion or the date of the last Maintenance Phase dose for subjects not meeting an exit criterion but withdrawing due to an AE or lack of efficacy.

The secondary analysis is only conducted on the Lacosamide 400 mg/day group.

Time to First Occurrence of Any Exit Event During The Maintenance Period16 Weeks Maintenance Period (approximately 112 days)

The time to first occurrence (days) of any exit event was estimated using Kaplan-Meier methods and was based on the time from the start of the Maintenance Phase to the earliest date a subject met an exit criterion. Subjects who discontinued during the Maintenance Phase due to non-exit criteria reasons or who completed the Maintenance Phase before 112 days and did not meet an exit criterion were censored as of the last Maintenance Phase dose date. Subjects completing 112 days in the Maintenance Phase were censored as of Day 112.

Duration of Monotherapy Treatment During the Monotherapy Phase of The Maintenance Period (Visit 9 - Visit 12)Visit 9 - Visit 12 (approximately 10 weeks)

Days on Monotherapy Treatment were defined as the number of days during the Monotherapy Phase when the subject took Lacosamide (LCM) only (ie, the total number of days exposed to LCM during the Monotherapy Phase minus any days where a concomitant or rescue Anti-epileptic Drug (AED) was taken by the subject). The days on Monotherapy Treatment did not need to be consecutive.

Clinical Global Impression of Change (CGIC) From Baseline To Last VisitBaseline; Last Visit (approximately 27 weeks)

For the assessment of the Clinical Global Impression of Change (CGIC), the investigator should provide his/her assessment of the subject's clinical status, compared to Baseline, including an evaluation of seizure frequency and intensity, the occurrence of AEs, and subject's functional status. He was asked the following:Please check the number that best describes the subject's condition over the past 4 weeks compared to Baseline:

1. Very much improved

2. Much improved

3. Minimally improved

4. No change

5. Minimally worse

6. Much worse

7. Very much worse

Patient's Global Impression of Change (PGIC) From Baseline To Last VisitBaseline; Last Visit (approximately 27 weeks)

For the assessment of the Patient's Global Impression of Change, the subject should provide his/her assessment of his/her own clinical status, compared to Baseline, including an evaluation of seizure frequency and intensity, the occurrence of AEs, and subject's functional status.The subject was asked to answer the following:

Over the past 4 weeks, how have you felt compared to before you entered this clinical trial? (Please check the number that best describes your condition.)

1. Very much improved

2. Much improved

3. Minimally improved

4. No change

5. Minimally worse

6. Much worse

7. Very much worse

Trial Locations

Locations (158)

61

🇺🇸

Columbus, Ohio, United States

32

🇺🇸

Philadelphia, Pennsylvania, United States

79

🇺🇸

Atlanta, Georgia, United States

58

🇺🇸

Boise, Idaho, United States

31

🇺🇸

Chesterfield, Missouri, United States

53

🇺🇸

Houston, Texas, United States

48

🇺🇸

Alabaster, Alabama, United States

18

🇺🇸

Huntsville, Alabama, United States

42

🇺🇸

Northport, Alabama, United States

7

🇺🇸

Little Rock, Arkansas, United States

59

🇺🇸

Los Angeles, California, United States

156

🇺🇸

Loma Linda, California, United States

120

🇺🇸

La Habra, California, United States

45

🇺🇸

Newport Beach, California, United States

21

🇺🇸

Santa Monica, California, United States

107

🇺🇸

Torrance, California, United States

94

🇺🇸

Doral, Florida, United States

108

🇺🇸

Gainesville, Florida, United States

55

🇺🇸

Maitland, Florida, United States

130

🇺🇸

Gulf Breeze, Florida, United States

132

🇺🇸

Miami, Florida, United States

123

🇺🇸

Miami, Florida, United States

49

🇺🇸

Panama City, Florida, United States

109

🇺🇸

Pinellas Park, Florida, United States

129

🇺🇸

Port Charlotte, Florida, United States

81

🇺🇸

Sarasota, Florida, United States

50

🇺🇸

Sarasota, Florida, United States

4

🇺🇸

Tallahassee, Florida, United States

72

🇺🇸

Canton, Georgia, United States

131

🇺🇸

Hines, Illinois, United States

78

🇺🇸

Indianapolis, Indiana, United States

11

🇺🇸

Springfield, Illinois, United States

73

🇺🇸

Ames, Iowa, United States

34

🇺🇸

Baltimore, Maryland, United States

164

🇺🇸

Lexington, Kentucky, United States

137

🇺🇸

Waldorf, Maryland, United States

41

🇺🇸

Detroit, Michigan, United States

30

🇺🇸

Golden Valley, Minnesota, United States

66

🇺🇸

Saint Louis, Missouri, United States

105

🇺🇸

Columbia, Missouri, United States

17

🇺🇸

Lebanon, New Hampshire, United States

36

🇺🇸

Albany, New York, United States

83

🇺🇸

Buffalo, New York, United States

69

🇺🇸

Cedarhurst, New York, United States

122

🇺🇸

New York, New York, United States

154

🇺🇸

Mineola, New York, United States

27

🇺🇸

New York, New York, United States

175

🇺🇸

Schenectady, New York, United States

3

🇺🇸

Asheville, North Carolina, United States

117

🇺🇸

Wilmington, North Carolina, United States

152

🇺🇸

Rocky Mount, North Carolina, United States

15

🇺🇸

Cleveland, Ohio, United States

138

🇺🇸

Austin, Texas, United States

8

🇺🇸

Medford, Oregon, United States

2

🇺🇸

Toledo, Ohio, United States

100

🇺🇸

Greensburg, Pennsylvania, United States

114

🇺🇸

Chattanooga, Tennessee, United States

26

🇺🇸

Tarentum, Pennsylvania, United States

111

🇺🇸

Dallas, Texas, United States

22

🇺🇸

Dallas, Texas, United States

51

🇺🇸

Houston, Texas, United States

82

🇺🇸

Temple, Texas, United States

16

🇺🇸

Charlottesville, Virginia, United States

136

🇺🇸

Layton, Utah, United States

106

🇺🇸

Richmond, Virginia, United States

161

🇺🇸

Alexandria, Virginia, United States

125

🇺🇸

Winchester, Virginia, United States

74

🇺🇸

Renton, Washington, United States

421

🇦🇺

Capmerdown, New South Wales, Australia

420

🇦🇺

Adelaide, South Australia, Australia

425

🇦🇺

Chatswood, New South Wales, Australia

423

🇦🇺

Herston, Queensland, Australia

429

🇦🇺

Clayton, Victoria, Australia

427

🇦🇺

Parkville, Victoria, Australia

204

🇦🇹

Innsbruck, Austria

127

🇨🇦

Calgary, Alberta, Canada

116

🇨🇦

Hamilton, Ontario, Canada

93

🇨🇦

London, Ontario, Canada

91

🇨🇦

Greenfield Park, Quebec, Canada

110

🇨🇦

Montreal, Quebec, Canada

402

🇫🇷

Bron, France

404

🇫🇷

Dijon, France

405

🇫🇷

Ramonville Saint Agne, France

465

🇩🇪

Berlin, Germany

441

🇮🇹

Milano, Italy

442

🇮🇹

Bologna, Italy

449

🇮🇹

Catanzaro, Italy

461

🇩🇪

Mainz, Germany

443

🇮🇹

Ferrara, Italy

450

🇮🇹

Perugia, Italy

448

🇮🇹

Pisa, Italy

447

🇮🇹

Torrette Di Ancona, Italy

445

🇮🇹

Reggio Calabria, Italy

286

🇵🇱

Gdansk, Poland

283

🇵🇱

Lublin, Poland

289

🇵🇱

Szczecin, Poland

281

🇵🇱

Warszawa, Poland

158

🇵🇷

San Juan, Puerto Rico

360

🇬🇧

Blackpool, United Kingdom

324

🇪🇸

Santa Cruz De Tenerife, Spain

323

🇪🇸

Granada, Spain

364

🇬🇧

London, United Kingdom

361

🇬🇧

Manchester, United Kingdom

369

🇬🇧

London, United Kingdom

363

🇬🇧

Middlesborough, United Kingdom

367

🇬🇧

Truro, United Kingdom

368

🇬🇧

Stoke on Trent, United Kingdom

40

🇺🇸

Savannah, Georgia, United States

146

🇺🇸

Peoria, Illinois, United States

119

🇺🇸

Lexington, Kentucky, United States

20

🇺🇸

Baltimore, Maryland, United States

65

🇺🇸

Pikesville, Maryland, United States

290

🇵🇱

Lublin, Poland

287

🇵🇱

Warszawa, Poland

124

🇺🇸

Manhattan, Kansas, United States

160

🇺🇸

Wichita, Kansas, United States

23

🇺🇸

Wichita, Kansas, United States

14

🇺🇸

Phoenix, Arizona, United States

151

🇺🇸

Phoenix, Arizona, United States

9

🇺🇸

Phoenix, Arizona, United States

63

🇺🇸

Durham, North Carolina, United States

147

🇺🇸

Oklahoma City, Oklahoma, United States

1

🇺🇸

Nashville, Tennessee, United States

98

🇺🇸

San Antonio, Texas, United States

223

🇩🇰

Aarhus, Denmark

220

🇩🇰

Copenhagen, Denmark

10

🇺🇸

Birmingham, Alabama, United States

157

🇺🇸

Portland, Oregon, United States

76

🇺🇸

Los Angeles, California, United States

46

🇺🇸

El Paso, Texas, United States

422

🇦🇺

Maroochydore, Queensland, Australia

71

🇺🇸

Hattiesburg, Mississippi, United States

284

🇵🇱

Czestochowa, Poland

282

🇵🇱

Gdynia, Poland

174

🇺🇸

Omaha, Nebraska, United States

280

🇵🇱

Krakow, Poland

67

🇺🇸

Voorhees, New Jersey, United States

103

🇺🇸

Tucson, Arizona, United States

86

🇺🇸

Little Rock, Arkansas, United States

102

🇺🇸

Jonesboro, Arkansas, United States

133

🇺🇸

Dover, Delaware, United States

113

🇨🇦

Montreal, Quebec, Canada

43

🇺🇸

Edison, New Jersey, United States

37

🇺🇸

Washington, District of Columbia, United States

29

🇺🇸

Scarborough, Maine, United States

240

🇮🇪

Dublin, Ireland

24

🇺🇸

Beaufort, South Carolina, United States

150

🇺🇸

Sun City, Arizona, United States

140

🇨🇦

Halifax, Nova Scotia, Canada

25

🇺🇸

Fairfield, Connecticut, United States

163

🇺🇸

Tampa, Florida, United States

60

🇺🇸

Aurora, Colorado, United States

77

🇺🇸

Orlando, Florida, United States

62

🇺🇸

Louisville, Kentucky, United States

19

🇺🇸

Bethesda, Maryland, United States

47

🇺🇸

Winston-Salem, North Carolina, United States

28

🇺🇸

Milwaukee, Wisconsin, United States

80

🇺🇸

Madison, Wisconsin, United States

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