LUTECIA: Assessment of Efficacy of Vardenafil in Subjects With Erectile Dysfunction and Diabetes, Hypertension or Hyperlipidemia
Study Details
Study Description
Brief Summary
Assessment of efficacy of vardenafil in subjects with erectile dysfunction and diabetes, hypertension or hyperlipidemia
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Phase 3 |
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Experimental: Arm 1
|
Drug: Levitra (Vardenafil, BAY38-9456)
10 mg one hour prior to sexual intercourse
|
Active Comparator: Arm 2
|
Drug: Tadalafil
10 mg taken approximately 24 hours prior to sexual intercourse
|
Outcome Measures
Primary Outcome Measures
- Sexual encounter profile question 3 observed within 15 minutes to 4 hours for vardenafil and 22 to 26 hours for the tadalafil group [4 weeks]
Secondary Outcome Measures
- Sexual encounter profile question 2 [4 weeks]
- Hardness of erection [4 weeks]
- Other diary based variables [4 weeks]
- Safety and tolerability [4 weeks]
Eligibility Criteria
Criteria
Inclusion Criteria:- Age: 18 years and older- Males with erectile dysfunction- Stable heterosexual relationship- Medical history / diagnosis of diabetes mellitus and/or hypertension and/or hyperlipidemia Exclusion Criteria:- Primary hypoactive sexual desire- History of myocardial infarction, stroke or life-threatening arrhythmia within the prior 6 months- Nitrate use- Other exclusion criteria apply according to Summary of Product Characteristics
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Bruxelles - Brussel | Belgium | 1070 | ||
2 | Bruxelles - Brussel | Belgium | 1200 | ||
3 | Edegem | Belgium | 2650 | ||
4 | Roeselare | Belgium | 8800 | ||
5 | Barranquilla | Colombia | |||
6 | Bogotá | Colombia | |||
7 | Medellín | Colombia | |||
8 | Santa Fé de Bogotá | Colombia | |||
9 | Santafe de Bogotá | Colombia | |||
10 | Helsinki | Finland | 00100 | ||
11 | Helsinki | Finland | 00180 | ||
12 | Oulu | Finland | 90100 | ||
13 | Freiburg | Baden-Württemberg | Germany | 79106 | |
14 | Stuttgart | Baden-Württemberg | Germany | 70372 | |
15 | Königsbrunn | Bayern | Germany | 86343 | |
16 | München | Bayern | Germany | 80333 | |
17 | München | Bayern | Germany | 81925 | |
18 | Weiden | Bayern | Germany | 92637 | |
19 | Marburg | Hessen | Germany | 35039 | |
20 | Hannover | Niedersachsen | Germany | 30625 | |
21 | Osnabrück | Niedersachsen | Germany | 49076 | |
22 | Westerstede | Niedersachsen | Germany | 26655 | |
23 | Mönchengladbach | Nordrhein-Westfalen | Germany | 41061 | |
24 | Berlin | Germany | 13125 | ||
25 | Berlin | Germany | 13347 | ||
26 | Berlin | Germany | 13465 | ||
27 | Hamburg | Germany | 20354 | ||
28 | Haifa | Israel | 31096 | ||
29 | Jerusalem | Israel | 91120 | ||
30 | Tel Aviv | Israel | 64239 | ||
31 | Tel Hashomer | Israel | 52621 | ||
32 | Catania | Italy | 95124 | ||
33 | Milano | Italy | 20123 | ||
34 | Milano | Italy | 20132 | ||
35 | Milano | Italy | 20142 | ||
36 | Padova | Italy | 35128 | ||
37 | Pavia | Italy | 27100 | ||
38 | Perugia | Italy | 06126 | ||
39 | Pisa | Italy | 56126 | ||
40 | Iguala | Guerrero | Mexico | 40000 | |
41 | Monterrey | Nuevo León | Mexico | 66260 | |
42 | Durango | Mexico | 34000 | ||
43 | México, D. F. | Mexico | 06700 | ||
44 | México, D.F. | Mexico | 14050 | ||
45 | México, D.F. | Mexico | 14080 | ||
46 | Nijverdal | Netherlands | 7442 LS | ||
47 | Utrecht | Netherlands | 3514 AB | ||
48 | Moelv | Norway | 2390 | ||
49 | Oslo | Norway | 0272 | ||
50 | Sarpsborg | Norway | 1700 | ||
51 | Trondheim | Norway | 7006 | ||
52 | Callao | Peru | CALLAO 2 | ||
53 | Lima | Peru | 33 | ||
54 | Lima | Peru | LIMA 27 | ||
55 | George | Eastern Cape | South Africa | 6530 | |
56 | Johannesburg | Gauteng | South Africa | 2193 | |
57 | Pretoria | Gauteng | South Africa | 0083 | |
58 | Pietermaritzburg | Kwa Zulu Natal | South Africa | 3200 | |
59 | Newcastle | Kwa Zulu-Natal | South Africa | 2940 | |
60 | Durban | KwaZulu Natal | South Africa | 4091 | |
61 | Durban | KwaZulu- Natal | South Africa | 4000 | |
62 | Durban | KwaZulu-Natal | South Africa | 3630 | |
63 | Cape Town | Western Cape | South Africa | 7505 | |
64 | Cape Town | Western Cape | South Africa | 7800 | |
65 | San Juan de Alicante | Alicante | Spain | 03550 | |
66 | L'Hospitalet de Llobregat | Barcelona | Spain | 08907 | |
67 | Vigo | Pontevedra | Spain | 36211 | |
68 | A Coruña | Spain | 15006 | ||
69 | Castellón de la Plana | Spain | 12004 | ||
70 | Málaga | Spain | 29010 | ||
71 | Palma de Mallorca | Spain | 07014 | ||
72 | Zaragoza | Spain | 50009 | ||
73 | Borås | Sweden | 503 32 | ||
74 | Skövde | Sweden | 541 30 | ||
75 | Stockholm | Sweden | 171 76 |
Sponsors and Collaborators
- Bayer
Investigators
- Study Director: Bayer Study Director, Bayer
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 10893