A Multicenter, Cross-sectional Study to Characterize the Distribution of Lipoprotein(a) Levels Among Patients With Documented History of Atherosclerotic Cardiovascular Disease
A Multicenter, Cross-sectional Study to Characterize the Distribution of Lipoprotein(a) Levels Among Patients With Documented History of Atherosclerotic Cardiovascular Disease
The purpose of this study is to characterize the distribution of lipoprotein(a) (Lp(a)) levels among participants with a history of ASCVD as defined by their medical history and is 2-fold:
Inclusion Criteria:
Exclusion Criteria:
Birmingham, Alabama 35243, United States
Hollywood, Florida 33021, United States
Jacksonville, Florida 32204, United States
Port Charlotte, Florida 33952, United States
Troy, Michigan 48098, United States
Cortlandt Manor, New York 10567, United States
Kingston, New York 12401, United States
Newport News, Virginia 23606, United States
CABA, Buenos Aires 1060, Argentina
CABA, Buenos Aires 1061, Argentina
CABA, Buenos Aires C1027AAP, Argentina
CABA, Buenos Aires C1406BOA, Argentina
CABA, Buenos Aires C1407GTN, Argentina
CABA, Buenos Aires C1425AGC, Argentina
CABA, Buenos Aires C1426ABP, Argentina
CABA, Buenos Aires C1426ABP, Argentina
Ciudad Autonoma de Buenos Aires, Buenos Aires 1430, Argentina
Ciudad Autonoma de Buenos Aires, Buenos Aires C1093AAS, Argentina
Ciudad Autonoma de Buenos Aires, Buenos Aires C1428ART, Argentina
Cuidad Autonoma de Buenos Aires, Buenos Aires C1199ABB, Argentina
San Nicolás de los Arroyos, Buenos Aires B2900DMH, Argentina
Córdoba, Córdoba Province 5000, Argentina
Porto Alegre, Rio Grande do Sul 90020-090, Brazil
Porto Alegre, Rio Grande do Sul 90610-000, Brazil
Ribeirão Preto, São Paulo 14051-140, Brazil
São Paulo, 05403-000, Brazil
Sofia, 1407, Bulgaria
Sofia, 1527, Bulgaria
Shanghai, 200080, China
Havirov - Mesto, 736 01, Czechia
Klatovy IV, 339 01, Czechia
Ostrava - Moravska Ostrava, 728 80, Czechia
Ostrava-Dubina, 700 30, Czechia
Praha 5 - Smichov, 150 00, Czechia
Pribram VIII, 261 01, Czechia
Chambray-lès-Tours, 37170, France
Shatin, New Territories, Hong Kong
Rozzano MI, 20089, Italy
Salerno, 84131, Italy
Kasugai-shi, Aichi-ken 486-8510, Japan
Toyoake-shi, Aichi-ken 470-1192, Japan
Matsudo-shi, Chiba 271-0077, Japan
Yoshida-gun, Fukui 910-1193, Japan
Kitakyushu-shi, Fukuoka 802-8555, Japan
Kitakyushu-shi, Fukuoka 806-8501, Japan
Asahikawa-shi, Hokkaido 070-8610, Japan
Hakodate-shi, Hokkaido 041-8680, Japan
Tomakomai-shi, Hokkaido 053-8567, Japan
Himeji-shi, Hyōgo 670-8560, Japan
Kahoku-gun, Ishikawa-ken 920-0293, Japan
Fujisawa-shi, Kanagawa 251-8550, Japan
Isehara-shi, Kanagawa 259-1193, Japan
Sagamihara-shi, Kanagawa 252-0375, Japan
Yokohama, Kanagawa 247-8581, Japan
Sendai, Miyagi 980-8574, Japan
Matsumoto-shi, Nagano 390-8621, Japan
Kurashiki-shi, Okayama-ken 701-0192, Japan
Higashiosaka-shi, Osaka 578-8588, Japan
Ageo-shi, Saitama 362-8588, Japan
Kawaguchi-shi, Saitama 333-0842, Japan
Saitama-shi, Saitama 338-0837, Japan
Sunto-gun, Shizuoka 411-8611, Japan
Chuo-ku, Tokyo 103-0027, Japan
Hachioji-shi, Tokyo 192-0918, Japan
Meguro-ku, Tokyo 152-8902, Japan
Musashino-shi, Tokyo 180-8610, Japan
Ome-shi, Tokyo 198-0042, Japan
Shunan-shi, Yamaguchi 745-8522, Japan
Chuo-shi, Yamanashi 409-3898, Japan
Culiacán, Sinaloa 80230, Mexico
Bielsko-Biala, 43-316, Poland
Dąbrowa Górnicza, 41-300, Poland
Kędzierzyn-Koźle, 47-200, Poland
Poznan, 60-534, Poland
Matosinhos Municipality, 4464-513, Portugal
Santa Maria da Feira, 4520-211, Portugal
Seongnam-si, Gyeonggi-do, 13620, South Korea
Istanbul, 34668, Turkey (Türkiye)
Wilts, SN15 2SB, United Kingdom