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Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort.
Lu, Yuan; Van Zandt, Mui; Liu, Yun; Li, Jing; Wang, Xialin; Chen, Yong; Chen, Zhengfeng; Cho, Jaehyeong; Dorajoo, Sreemanee Raaj; Feng, Mengling; Hsu, Min-Huei; Hsu, Jason C; Iqbal, Usman; Jonnagaddala, Jitendra; Li, Yu-Chuan; Liaw, Siaw-Teng; Lim, Hong-Seok; Ngiam, Kee Yuan; Nguyen, Phung-Anh; Park, Rae Woong; Pratt, Nicole; Reich, Christian; Rhee, Sang Youl; Sathappan, Selva Muthu Kumaran; Shin, Seo Jeong; Tan, Hui Xing; You, Seng Chan; Zhang, Xin; Krumholz, Harlan M; Suchard, Marc A; Xu, Hua.
Afiliação
  • Lu Y; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
  • Van Zandt M; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
  • Liu Y; Real World Solutions, Iqvia, Durham, North Carolina.
  • Li J; School of Biomedical Engineering and Informatics, Department of Medical Informatics, Nanjing Medical University, Jiangsu, China.
  • Wang X; Real World Solutions, Iqvia, Durham, North Carolina.
  • Chen Y; Real World Solutions, Iqvia, Durham, North Carolina.
  • Chen Z; Perelman School of Medicine, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania.
  • Cho J; National University Heart Center, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Dorajoo SR; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
  • Feng M; Health Sciences Authority, Singapore and Khoo Teck Puat Hospital, Singapore.
  • Hsu MH; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Hsu JC; Institute of Data Science, National University of Singapore, Singapore.
  • Iqbal U; Taipei Medical University, Taipei, Taiwan.
  • Jonnagaddala J; International PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan.
  • Li YC; International Center for Health Information Technology, Taipei Medical University, Taipei City, Taiwan.
  • Liaw ST; World Health Organization Collaborating Center on eHealth, School of Population Health, University of New South Wales Sydney, Australia.
  • Lim HS; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei City, Taiwan.
  • Ngiam KY; World Health Organization Collaborating Center on eHealth, School of Population Health, University of New South Wales Sydney, Australia.
  • Nguyen PA; Department of Cardiology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Park RW; Group Chief Technology Office, National University Health System, Singapore.
  • Pratt N; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.
  • Reich C; School of Health Technology, Taiwan Department of Healthcare Information and Management, Ming Chuan University, Taipei, Taiwan.
  • Rhee SY; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Sathappan SMK; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
  • Shin SJ; Quality Use of Medicines and Pharmacy Research Center, Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
  • Tan HX; Real World Solutions, Iqvia, Cambridge, Massachusetts.
  • You SC; Kyung Hee University Medical Center, Seoul, Republic of Korea.
  • Zhang X; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Krumholz HM; National University of Singapore, Singapore.
  • Suchard MA; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
  • Xu H; Health Sciences Authority, Singapore.
JAMA Netw Open ; 5(3): e223877, 2022 03 01.
Article em En | MEDLINE | ID: mdl-35323951
ABSTRACT
Importance More than 1 billion adults have hypertension globally, of whom 70% cannot achieve their hypertension control goal with monotherapy alone. Data are lacking on clinical use patterns of dual combination therapies prescribed to patients who escalate from monotherapy.

Objective:

To investigate the most common dual combinations prescribed for treatment escalation in different countries and how treatment use varies by age, sex, and history of cardiovascular disease. Design, Setting, and

Participants:

This cohort study used data from 11 electronic health record databases that cover 118 million patients across 8 countries and regions between January 2000 and December 2019. Included participants were adult patients (ages ≥18 years) who newly initiated antihypertensive dual combination therapy after escalating from monotherapy. There were 2 databases included for 3 countries the Iqvia Longitudinal Patient Database (LPD) Australia and Electronic Practice-based Research Network 2019 linked data set from South Western Sydney Local Health District (ePBRN SWSLHD) from Australia, Ajou University School of Medicine (AUSOM) and Kyung Hee University Hospital (KHMC) databases from South Korea, and Khoo Teck Puat Hospital (KTPH) and National University Hospital (NUH) databases from Singapore. Data were analyzed from June 2020 through August 2021. Exposures Treatment with dual combinations of the 4 most commonly used antihypertensive drug classes (angiotensin-converting enzyme inhibitor [ACEI] or angiotensin receptor blocker [ARB]; calcium channel blocker [CCB]; ß-blocker; and thiazide or thiazide-like diuretic). Main Outcomes and

Measures:

The proportion of patients receiving each dual combination regimen, overall and by country and demographic subgroup.

Results:

Among 970 335 patients with hypertension who newly initiated dual combination therapy included in the final analysis, there were 11 494 patients from Australia (including 9291 patients in Australia LPD and 2203 patients in ePBRN SWSLHD), 6980 patients from South Korea (including 6029 patients in Ajou University and 951 patients in KHMC), 2096 patients from Singapore (including 842 patients in KTPH and 1254 patients in NUH), 7008 patients from China, 8544 patients from Taiwan, 103 994 patients from France, 76 082 patients from Italy, and 754 137 patients from the US. The mean (SD) age ranged from 57.6 (14.8) years in China to 67.7 (15.9) years in the Singapore KTPH database, and the proportion of patients by sex ranged from 24 358 (36.9%) women in Italy to 408 964 (54.3%) women in the US. Among 12 dual combinations of antihypertensive drug classes commonly used, there were significant variations in use across country and patient subgroup. For example starting an ACEI or ARB monotherapy followed by a CCB (ie, ACEI or ARB + CCB) was the most commonly prescribed combination in Australia (698 patients in ePBRN SWSLHD [31.7%] and 3842 patients in Australia LPD [41.4%]) and Singapore (216 patients in KTPH [25.7%] and 439 patients in NUH [35.0%]), while in South Korea, CCB + ACEI or ARB (191 patients in KHMC [20.1%] and 1487 patients in Ajou University [24.7%]), CCB + ß-blocker (814 patients in Ajou University [13.5%] and 217 patients in KHMC [22.8%]), and ACEI or ARB + CCB (147 patients in KHMC [15.5%] and 1216 patients in Ajou University [20.2%]) were the 3 most commonly prescribed combinations. The distribution of 12 dual combination therapies were significantly different by age and sex in almost all databases. For example, use of ACEI or ARB + CCB varied from 873 of 3737 patients ages 18 to 64 years (23.4%) to 343 of 2292 patients ages 65 years or older (15.0%) in South Korea's Ajou University database (P for database distribution by age < .001), while use of ACEI or ARB + CCB varied from 2121 of 4718 (44.8%) men to 1721 of 4549 (37.7%) women in Australian LPD (P for drug combination distributions by sex < .001). Conclusions and Relevance In this study, large variation in the transition between monotherapy and dual combination therapy for hypertension was observed across countries and by demographic group. These findings suggest that future research may be needed to investigate what dual combinations are associated with best outcomes for which patients.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hipertensão / Anti-Hipertensivos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hipertensão / Anti-Hipertensivos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Ano de publicação: 2022 Tipo de documento: Article