Meta-Analysis

. 2022 Jan 5;35(1):54-64.

doi: 10.1093/ajh/hpab139.

The International Database of Central Arterial Properties for Risk Stratification: Research Objectives and Baseline Characteristics of Participants

Lucas S Aparicio^{1

2}, Qi-Fang Huang³, Jesus D Melgarejo², Dong-Mei Wei², Lutgarde Thijs², Fang-Fei Wei^{2

4}, Natasza Gilis-Malinowska⁵, Chang-Sheng Sheng³, José Boggia⁶, Teemu J Niiranen^{7

8}, Augustine N Odili⁹, Katarzyna Stolarz-Skrzypek¹⁰, Jessica Barochiner¹, Daniel Ackermann¹¹, Kalina Kawecka-Jaszcz¹⁰, Valérie Tikhonoff¹², Zhen-Yu Zhang², Edoardo Casiglia¹², Krzysztof Narkiewicz⁵, Jan Filipovský¹³, Aletta E Schutte^{14

15}, Wen-Yi Yang^{2

16}, Antti M Jula⁷, Angela J Woodiwiss¹⁷, Murielle Bochud¹⁸, Gavin R Norton¹⁷, Ji-Guang Wang³, Yan Li³, Jan A Staessen^{19

20}; International Database of Central Arterial Properties for Risk Stratification (IDCARS) Investigators

Collaborators, Affiliations

Collaborators

International Database of Central Arterial Properties for Risk Stratification (IDCARS) Investigators:
L S Aparicio, J Barochiner, D-M Wei, J D Melgarejo, L Thijs, J A Staessen, F-F Wei, W-Y Yang, Z-Y Zhang, D W An, Y B Cheng, Q H Guo, J F Huang, Q F Huang, Y Li, C S Sheng, J G Wang, J Filipovský, J Seidlerová, E P Juhanoja, A M Jula, A S Lindroos, T J Niiranen, S S Sivén, E Casiglia, A Pizzioli, V Tikhonoff, B S Chori, B Danladi, A N Odili, H Oshaju, W Kucharska, K Kunicka, N Gilis-Malinowska, K Narkiewicz, W Sakiewicz, E Swierblewska, K Kawecka-Jaszcz, K Stolarz-Skrzypek, M Rajzer, C Mels, R Kruger, G Mokwatsi, A E Schutte, G R Norton, A J Woodiwiss, D Ackermann, M Bochud, G Ehret, R Álvarez-Vaz, C Américo, C Baccino, L Borgarello, L Florio, P Moliterno, A Noboa, O Noboa, A Olascoaga, P Parnizari, M Pécora

Affiliations

¹ Servicio de Clínica Médica, Sección Hipertensión Arterial, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
² Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
³ Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
⁴ Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
⁵ Hypertension Unit, Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland.
⁶ Centro de Nefrología and Departamento de Fisiopatología, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
⁷ Department of Chronic Disease Prevention, Finnish Institute for Health and Welfare, Turku, Finland.
⁸ Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland.
⁹ Department of Internal Medicine, Faculty of Clinical Sciences, College of Health Sciences, University of Abuja, Abuja, Nigeria.
¹⁰ First Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland.
¹¹ Clinic for Nephrology and Hypertension, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
¹² Department of Medicine, University of Padua, Padua, Italy.
¹³ Faculty of Medicine, Charles University, Pilsen, Czech Republic.
¹⁴ Hypertension in Africa Research Team (HART), South African Medical Research Council and Unit of Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
¹⁵ School of Population Health, University of New South Wales, The George Institute for Global Health, Sydney, Australia.
¹⁶ Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
¹⁷ Cardiovascular Pathophysiology and Genomics Research Unit, Schools of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
¹⁸ Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.
¹⁹ Research Institute Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium.
²⁰ Biomedical Sciences Group, Faculty of Medicine, University of Leuven, Leuven, Belgium.

PMID: 34505630
PMCID: PMC8730480
DOI: 10.1093/ajh/hpab139

Meta-Analysis

The International Database of Central Arterial Properties for Risk Stratification: Research Objectives and Baseline Characteristics of Participants

Lucas S Aparicio et al. Am J Hypertens. 2022.

. 2022 Jan 5;35(1):54-64.

doi: 10.1093/ajh/hpab139.

Authors

Collaborators

International Database of Central Arterial Properties for Risk Stratification (IDCARS) Investigators:
L S Aparicio, J Barochiner, D-M Wei, J D Melgarejo, L Thijs, J A Staessen, F-F Wei, W-Y Yang, Z-Y Zhang, D W An, Y B Cheng, Q H Guo, J F Huang, Q F Huang, Y Li, C S Sheng, J G Wang, J Filipovský, J Seidlerová, E P Juhanoja, A M Jula, A S Lindroos, T J Niiranen, S S Sivén, E Casiglia, A Pizzioli, V Tikhonoff, B S Chori, B Danladi, A N Odili, H Oshaju, W Kucharska, K Kunicka, N Gilis-Malinowska, K Narkiewicz, W Sakiewicz, E Swierblewska, K Kawecka-Jaszcz, K Stolarz-Skrzypek, M Rajzer, C Mels, R Kruger, G Mokwatsi, A E Schutte, G R Norton, A J Woodiwiss, D Ackermann, M Bochud, G Ehret, R Álvarez-Vaz, C Américo, C Baccino, L Borgarello, L Florio, P Moliterno, A Noboa, O Noboa, A Olascoaga, P Parnizari, M Pécora

Affiliations

¹ Servicio de Clínica Médica, Sección Hipertensión Arterial, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
² Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
³ Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
⁴ Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
⁵ Hypertension Unit, Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland.
⁶ Centro de Nefrología and Departamento de Fisiopatología, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
⁷ Department of Chronic Disease Prevention, Finnish Institute for Health and Welfare, Turku, Finland.
⁸ Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland.
⁹ Department of Internal Medicine, Faculty of Clinical Sciences, College of Health Sciences, University of Abuja, Abuja, Nigeria.
¹⁰ First Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland.
¹¹ Clinic for Nephrology and Hypertension, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
¹² Department of Medicine, University of Padua, Padua, Italy.
¹³ Faculty of Medicine, Charles University, Pilsen, Czech Republic.
¹⁴ Hypertension in Africa Research Team (HART), South African Medical Research Council and Unit of Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
¹⁵ School of Population Health, University of New South Wales, The George Institute for Global Health, Sydney, Australia.
¹⁶ Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
¹⁷ Cardiovascular Pathophysiology and Genomics Research Unit, Schools of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
¹⁸ Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.
¹⁹ Research Institute Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium.
²⁰ Biomedical Sciences Group, Faculty of Medicine, University of Leuven, Leuven, Belgium.

PMID: 34505630
PMCID: PMC8730480
DOI: 10.1093/ajh/hpab139

Abstract

Objective: To address to what extent central hemodynamic measurements, improve risk stratification, and determine outcome-based diagnostic thresholds, we constructed the International Database of Central Arterial Properties for Risk Stratification (IDCARS), allowing a participant-level meta-analysis. The purpose of this article was to describe the characteristics of IDCARS participants and to highlight research perspectives.

Methods: Longitudinal or cross-sectional cohort studies with central blood pressure measured with the SphygmoCor devices and software were included.

Results: The database included 10,930 subjects (54.8% women; median age 46.0 years) from 13 studies in Europe, Africa, Asia, and South America. The prevalence of office hypertension was 4,446 (40.1%), of which 2,713 (61.0%) were treated, and of diabetes mellitus was 629 (5.8%). The peripheral and central systolic/diastolic blood pressure averaged 129.5/78.7 mm Hg and 118.2/79.7 mm Hg, respectively. Mean aortic pulse wave velocity was 7.3 m per seconds. Among 6,871 participants enrolled in 9 longitudinal studies, the median follow-up was 4.2 years (5th-95th percentile interval, 1.3-12.2 years). During 38,957 person-years of follow-up, 339 participants experienced a composite cardiovascular event and 212 died, 67 of cardiovascular disease.

Conclusions: IDCARS will provide a unique opportunity to investigate hypotheses on central hemodynamic measurements that could not reliably be studied in individual studies. The results of these analyses might inform guidelines and be of help to clinicians involved in the management of patients with suspected or established hypertension.

Keywords: blood pressure; cardiovascular outcome; central blood pressure; hemodynamics; hypertension; pulse wave analysis; pulse wave velocity.

PubMed Disclaimer

Figures

**Figure 1.**
Geographical spread of IDCARS participants. Two cohorts were enrolled in Poland and South Africa.

See this image and copyright information in PMC

References

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The International Database of Central Arterial Properties for Risk Stratification: Research Objectives and Baseline Characteristics of Participants

Collaborators

Affiliations

The International Database of Central Arterial Properties for Risk Stratification: Research Objectives and Baseline Characteristics of Participants

Authors

Collaborators

Affiliations

Abstract

Figures

References

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical