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8. May Measurement Month 2018: an analysis of blood pressure screening results from Slovenia

Author

Božič, Nina, primary, Knez, Judita, additional, Dolenc, Primož, additional, Salobir, Barbara, additional, Erhartič, Andrej, additional, Čegovnik, Borut, additional, Brus, Ivanka, additional, Petek Šter, Marija, additional, Hlastan Ribič, Cirila, additional, Beaney, Thomas, additional, Ster, Anca Chis, additional, Xia, Xin, additional, Poulter, Neil R, additional, and Brguljan Hitij, Jana, additional

Published
2020
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9. May Measurement Month 2018: a pragmatic global screening campaign to raise awareness of blood pressure by the International Society of Hypertension

Author

Beaney, Thomas, Burrell, Louise M, Castillo, Rafael R, Charchar, Fadi J, Cro, Suzie, Damasceno, Albertino, Kruger, Ruan, Nilsson, Peter M, Prabhakaran, Dorairaj, Ramirez, Agustin J, Schlaich, Markus P, Schutte, Aletta E, Tomaszewski, Maciej, Touyz, Rhian, Wang, Ji-Guang, Weber, Michael A, Poulter, Neil R, Burazeri, Genc, Qirjako, Gentiana, Roshi, Enver, Cunashi, Rudina, Fernandes, Mario J C C, Victória Pereira, Savarino S, Neto, Marisa F M P, Oliveira, Pombalino N M, Feijão, Ana C G, Cerniello, Yamila, Marin, Marcos J, Garcia Vasquez, Fortunato, Espeche, Walter G, Stisman, Diego, Fuentes, Inés A, Zilberman, Juith M, Rodriguez, Pablo, Babinyan, Kamsar Yu, Engibaryan, Anna H, Avagyan, Avag M, Minasyan, Arsen A, Gevorkyan, Ani T, Carnagarin, Revathy, Carrington, Melinda J, Sharman, James E, Lee, Rebecca, Perl, Sabine, Niederl, Ella, Malik, Fazila-Tun-Nesa, Choudhury, Sohel R, Al Mamun, Mohammad A, Ishraquzzaman, Mir, Anthony, Fiona, Connell, Kenneth, De Backer, Tine L M, Krzesinski, Jea, Houenassi, Martin D, Houehanou, Corine Y, Sokolovic, Sekib, Bahtijarevic, Rankica, Tiro, Mary B, Mosepele, Mosepele, Masupe, Tiny K, Barroso, Weimar S, Gomes, Marco A M, Feitosa, Audes D M, Brandão, Andrea A, Miranda, Roberto D, Azevedo, Vanda M A A, Dias, Luis M, Garcia, Glenda D N, Martins, Idiana P P, Dzudie, Anastase, Kingue, Samuel, Djomou, Florent A N, Njume, Epie, Khan, Nadia, Lanas, Fernando T, Garcia, Maria S, Paccot, Melanie F, Torres, Pamela I, Li, Yan, Liu, Min, Xu, Liying, Li, Li, Chen, Xin, Deng, Junping, Zhao, Wenwu, Fu, Lingjuan, Zhou, Yi, Lopez-Jaramillo, Patricio, Otero, Johanna, Camacho, Paul A, Accini, Jose L, Sanchez, Gregorio, Arcos, Edgar, M’Buyamba-Kabangu, Jean-René, Katamba, Fortunat K, Ngoyi, Georges N, Buila, Nathan M, Bayauli, Pascal M, Ellenga Mbolla, Bertrand F, Bakekolo, Paterne R, Kouala Landa, Christian M, Kimbally Kaky, Gisele S, Kramoh, Euloge K, Ngoran, Yves N K, Olsen, Michael H, Valdez Valoy, Laura, Santillan, Marcos, Angel Rafael, Gonzalez Medina, Peñaherrera, Carlos E, Villalba, Jose, Ramirez, Maria I, Arteaga, Fabricio, Delgado, Patricia, Beistline, Holly, Cappuccio, Francesco P, Keitley, James, Tay, Tricia, Goshu, Dejuma Y, Kassie, Desalew M, Gebru, Sintayehu A, Pathak, Atul, Denolle, Thierry, Tsinamdzgvrishvili, Bezhan, Trapaidze, Dali, Sturua, Lela, Abesadze, Tamar, Grdzelidze, Nino, Grabfelder, Mark, Krämer, Bernhard K, Schmeider, Roland E, Twumasi-Ankrah, Betty, Tannor, Elliot K, Lincoln, Mary D, Deku, Enoch M, Wyss Quintana, Fernando S, Kenerson, John, Jean Baptiste, Emmanuela D, Saintilmond, Wideline W, Barrientos, Ana L, Peiger, Briggitte, Lagos, Ashley R, Forgas, Marcelo A, Lee, Vivian W Y, Tomlinson, Brian W Y, Járai, Zoltán, Páll, Dénes, More, Arun, Maheshwari, Anuj, Verma, Narsingh, Sharma, Meenakshi, Mukherjee, Tapan K, Patil, Mansi, Pulikkottil Jose, Arun, Takalkar, Anant, Turana, Yuda, Widyantoro, Bambang, Danny, Siska S, Djono, Suhar, Handari, Saskia D, Tambunan, Marihot, Tiksnadi, Badai B, Hermiawaty, Eka, Tavassoli, Elham, Zolfaghari, Mahsa, Dolan, Eamon, O'Brien, Eoin, Borghi, Claudio, Ferri, Claudio, Torlasco, Camilla, Parati, Gianfranco, Nwokocha, Chukwuemeka R, Nwokocha, Magdalene I, Ogola, Elijah N, Gitura, Bernard M, Barasa, Anders L, Barasa, Felix A, Wairagu, Anne W, Nalwa, Wafula Z, Najem, Robert N, Abu Alfa, Ali K, Fageh, Hatem A, Msalam, Omar M, Derbi, Hawa A, Bettamar, Kzaki A, Zakauskiene, Urte, Vickiene, Alvita, Calmes, Jessica, Alkerwi, Ala'a, Gantenbein, Manon, Ndhlovu, Henry L L, Masiye, Jones K, Chirwa, Maureen L, Nyirenda, Nancy M, Dhlamini, Tiyezge D, Chia, Yook C, Ching, Siew M, Devaraj, Navin K, Ouane, Nouhoum, Fane, Tidiani, Kowlessur, Sudhir, Ori, Bhooshun, Heecharan, Jaysing, Alcocer, Luis, Chavez, Adolfo, Ruiz, Griselda, Espinosa, Cutberto, Gomez-Alvarez, Enrique, Neupane, Dinesh, Bhattarai, Harikrishna, Ranabhat, Kamal, Adhikari, Tara B, Koirala, Sweta, Toure, Ibrahim A, Soumana, Kabirou H, Wahab, Kolawole W, Omotoso, Ayodele B, Sani, Mahmoud U, Okubadejo, Njideka U, Nadar, Sunil K, Al-Riyami, Hassan A, Ishaq, Mohammad, Memon, Feroz, Sidique, Sualat, Choudhry, Hafeez A, Khan, Rasheed A, Ayala, Myrian, Maidana, Angel J O, Bogado, Graciela GG, Ona, Deborah I, Atilano, Alberto, Granada, Carmela, Bartolome, Regina, Manese, Loudes, Mina, Arnold, Dumlao, Maria C, Villaruel, Mariyln C, Gomez, lynn, Jóźwiak, Jacek, Małyszko, Jolanta, Banach, Maciej, Mastej, Mirosław, de Carvalho Rodrigues, Manuel M, Martins, Luis L, Paval, Alexandra, Dorobantu, Maria, Konradi, Alexandra O, Chazova, Irina E, Rotar, Oxana, Spoares, Miryan C, Viegas, Deolsanik, Almustafa, Bader A, Alshurafa, Saleh A, Brady, Adrian, Bovet, Pascal, Viswanathan, Bharathi, Oladapo, Olulola O, Russell, James W, Brguljan-Hitij, Jana, Bozic, Nina, Knez, Judita, Dolenc, Primoz, Hassan, Mohammed M, Woodiwiss, Angela J, Myburgh, Caitlynd, Vally, Muhammed, Ruilope, Luis M, Molinero, Ana, Rodilla, Enrique, Gijón-Conde, Teresa, Beheiry, Hind M, Ali, I A, Osman, Asma A A, fahal, Naiema A W, Osman, Hana A, Altahir, Fatima, Persson, Margaretha, Wuerzner, Gregoire, Burkard, Thilo, Wang, Tzung-Dau, Lin, Hung-Ju, Pan, Heng-Yu, Chen, Wen-Jone, Lin, Eric, Mondo, Charles K, Ingabire, Prossie M, Khomazyuk, Tatyana TA, Krotova, Viktoriia V-Yu, Negresku, Elena, Evstigneeva, Olena, Bazargani, Nooshin NB, Agrawal, Amrish, Bin Belaila, Buthaina A, Suhail, Aisha M, Muhammed, Khalifa O, Shuri, Hassan H, Wainford, Richard D, Levy, Philip D, Boggia, José JG, Garré, Laura L, Hernandez-Hernandez, Rafael, Octavio-Seijas, Jose A, Lopez-Rivera, Jesus A, Morr, Igor, Duin, Amanda, Huynh, Minh V, Cao, Sinh T, Nguyen, Viet L, To, Muoi, Phan, Hung N, Cockroft, John, McDonnell, Barry, Goma, Fastone M, Syatalimi, Charity, Chifamba, Jephat, Gwini, Rudo, Tiburcio, Osiris Valdez, Xia, Xin, 20035632 - Kruger, Ruan, 10922180 - Schutte, Aletta Elisabeth, Beaney T., Burrell L.M., Castillo R.R., Charchar F.J., Cro S., Damasceno A., Kruger R., Nilsson P.M., Prabhakaran D., Ramirez A.J., Schlaich M.P., Schutte A.E., Tomaszewski M., Touyz R., Wang J.-G., Weber M.A., Poulter N.R., and Borghi C

Subjects
Male, Cardiac & Cardiovascular Systems, Cross-sectional study, Blood Pressure, 030204 cardiovascular system & hematology, Global Burden of Disease, 0302 clinical medicine, Surveys and Questionnaires, MMM Investigators, Mass Screening, 030212 general & internal medicine, 1102 Cardiorespiratory Medicine and Haematology, Antihypertensive medication, RISK, Global, Awareness, Middle Aged, PREVALENCE, Hypertension, Blood pressure, Screening, Raised blood pressure, Female, Cardiology and Cardiovascular Medicine, BURDEN, Life Sciences & Biomedicine, Control, Adult, medicine.medical_specialty, Fast Track Clinical Research, Opportunistic Sampling, 03 medical and health sciences, Internal medicine, medicine, SYSTEMATIC ANALYSIS, MANAGEMENT, Humans, Mass screening, Disease burden, Antihypertensive Agents, Science & Technology, business.industry, Case-control study, Blood Pressure Determination, Treatment, Editor's Choice, RAMADAN, Cross-Sectional Studies, Cardiovascular System & Hematology, Case-Control Studies, Cardiovascular System & Cardiology, business, Hypertension, Blood pressure, Screening, Global, Treatment, Control
Abstract

Aims Raised blood pressure (BP) is the biggest contributor to mortality and disease burden worldwide and fewer than half of those with hypertension are aware of it. May Measurement Month (MMM) is a global campaign set up in 2017, to raise awareness of high BP and as a pragmatic solution to a lack of formal screening worldwide. The 2018 campaign was expanded, aiming to include more participants and countries. Methods and results Eighty-nine countries participated in MMM 2018. Volunteers (≥18 years) were recruited through opportunistic sampling at a variety of screening sites. Each participant had three BP measurements and completed a questionnaire on demographic, lifestyle, and environmental factors. Hypertension was defined as a systolic BP ≥140 mmHg or diastolic BP ≥90 mmHg, or taking antihypertensive medication. In total, 74.9% of screenees provided three BP readings. Multiple imputation using chained equations was used to impute missing readings. 1 504 963 individuals (mean age 45.3 years; 52.4% female) were screened. After multiple imputation, 502 079 (33.4%) individuals had hypertension, of whom 59.5% were aware of their diagnosis and 55.3% were taking antihypertensive medication. Of those on medication, 60.0% were controlled and of all hypertensives, 33.2% were controlled. We detected 224 285 individuals with untreated hypertension and 111 214 individuals with inadequately treated (systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg) hypertension. Conclusion May Measurement Month expanded significantly compared with 2017, including more participants in more countries. The campaign identified over 335 000 adults with untreated or inadequately treated hypertension. In the absence of systematic screening programmes, MMM was effective at raising awareness at least among these individuals at risk.

Published
2019

14. Correlation Between Mitochondrial DNA Content Measured in Myocardium and Peripheral Blood of Patients with Non-Ischemic Heart Failure

Author

Knez, Judita, primary, Lakota, Katja, additional, Božič, Nina, additional, Okrajšek, Renata, additional, Cauwenberghs, Nicholas, additional, Thijs, Lutgarde, additional, Kneževič, Ivan, additional, Vrtovec, Bojan, additional, Tomšič, Matija, additional, Čučnik, Saša, additional, Sodin-Šemrl, Snežna, additional, Kuznetsova, Tatiana, additional, and Brguljan-Hitij, Jana, additional

Published
2017
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16. Peripheral blood mitochondrial DNA content in relation to circulating metabolites and inflammatory markers: A population study

Author

Knez, Judita, primary, Marrachelli, Vannina G., additional, Cauwenberghs, Nicholas, additional, Winckelmans, Ellen, additional, Zhang, Zhenyu, additional, Thijs, Lutgarde, additional, Brguljan-Hitij, Jana, additional, Plusquin, Michelle, additional, Delles, Christian, additional, Monleon, Daniel, additional, Redón, Josep, additional, Staessen, Jan A., additional, Nawrot, Tim S., additional, and Kuznetsova, Tatiana, additional

Published
2017
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17. Additional file 1: of Coronary risk in relation to genetic variation in MEOX2 and TCF15 in a Flemish population

Author

Yang, Wen-Yi, Petit, Thibault, Lutgarde Thijs, Zhang, Zhen-Yu, Jacobs, Lotte, Hara, Azusa, Wei, Fang-Fei, Salvi, Erika, Citterio, Lorena, Carpini, Simona Delli, Gu, Yu-Mei, Knez, Judita, Cauwenberghs, Nicholas, Barcella, Matteo, Barlassina, Cristina, Manunta, Paolo, Coppiello, Giulia, Aranguren, Xabier, Kuznetsova, Tatiana, Cusi, Daniele, Verhamme, Peter, Luttun, Aernout, and Staessen, Jan

Subjects
cardiovascular diseases
Abstract

Table S1. Common tagging SNPs in MEOX2. Table S2. MEOX2 and TCF15 SNPs and allele and genotype frequencies in unrelated founders. Table S3. MEOX2 and TCF15 allele and genotype frequencies in 2027 analysed participants. Table S4. Sex- and age-standardised CHD rates by MEOX2 SNPs. Table S5. Hazard ratios for CHD by MEOX2 SNPs in participants free of CHD at baseline. Table S6. Sex- and age-standardised CHD rates by MEOX2 haplotypes. Table S7. Hazard ratios for CHD by MEOX2 haplotypes reconstructed while accounting for pedigree information. Table S8. Hazard ratios for CHD by MEOX2 haplotypes in participants free of CHD at baseline. Table S9. Baseline characteristics of participants without blood left for genotyping compared with those included in the analyses. Figure S1. Plot of the MEOX2 gene and flanking regions on chromosome 7. Figure S2. Plot of the TCF15 gene and flanking regions on chromosome 20. Figure S3. Interaction between TCF15 rs12624577 and MEOX2 rs4532497. Figure S4. Incidence of coronary endpoints, myocardial infarction and coronary revascularisation in MEOX2 GTCCGC carriers and non-carriers.

Published
2015
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19. Impact and pitfalls of scaling of left ventricular and atrial structure in population-based studies

Author

Kuznetsova, Tatiana, primary, Haddad, Francois, additional, Tikhonoff, Valérie, additional, Kloch-Badelek, Malgorzata, additional, Ryabikov, Andrew, additional, Knez, Judita, additional, Malyutina, Sofia, additional, Stolarz-Skrzypek, Katarzyna, additional, Thijs, Lutgarde, additional, Schnittger, Ingela, additional, Wu, Joseph C., additional, Casiglia, Edoardo, additional, Narkiewicz, Krzysztof, additional, Kawecka-Jaszcz, Kalina, additional, and Staessen, Jan A., additional

Published
2016
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20. Doppler indexes of left ventricular systolic and diastolic function in relation to the arterial stiffness in a general population

Author

Cauwenberghs, Nicholas, primary, Knez, Judita, additional, Tikhonoff, Valérie, additional, D’hooge, Jan, additional, Kloch-Badelek, Malgorzata, additional, Thijs, Lutgarde, additional, Stolarz-Skrzypek, Katarzyna, additional, Haddad, Francois, additional, Wojciechowska, Wiktoria, additional, Swierblewska, Ewa, additional, Casiglia, Edoardo, additional, Kawecka-Jaszcz, Kalina, additional, Narkiewicz, Krzysztof, additional, Staessen, Jan A., additional, and Kuznetsova, Tatiana, additional

Published
2016
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23. Renal glomerular dysfunction in relation to retinal arteriolar narrowing and high pulse pressure in seniors

Author

Gu, Yu-Mei, primary, Petit, Thibault, additional, Wei, Fang-Fei, additional, Thijs, Lutgarde, additional, Jacobs, Lotte, additional, Zhang, Zhen-Yu, additional, Yang, Wen-Yi, additional, Cauwenberghs, Nicholas, additional, Knez, Judita, additional, Struijker-Boudier, Harry A J, additional, Kuznetsova, Tatiana, additional, Verhamme, Peter, additional, and Staessen, Jan A, additional

Published
2015
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24. Coronary risk in relation to genetic variation in MEOX2 and TCF15 in a Flemish population

Author

Yang, Wen-Yi, primary, Petit, Thibault, additional, Thijs, Lutgarde, additional, Zhang, Zhen-Yu, additional, Jacobs, Lotte, additional, Hara, Azusa, additional, Wei, Fang-Fei, additional, Salvi, Erika, additional, Citterio, Lorena, additional, Delli Carpini, Simona, additional, Gu, Yu-Mei, additional, Knez, Judita, additional, Cauwenberghs, Nicholas, additional, Barcella, Matteo, additional, Barlassina, Cristina, additional, Manunta, Paolo, additional, Coppiello, Giulia, additional, Aranguren, Xabier L., additional, Kuznetsova, Tatiana, additional, Cusi, Daniele, additional, Verhamme, Peter, additional, Luttun, Aernout, additional, and Staessen, Jan A., additional

Published
2015
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26. Association of digital vascular function with cardiovascular risk factors: a population study.

Author

Kuznetsova, Tatiana, Van Vlierberghe, Eline, Knez, Judita, Szczesny, Gregory, Thijs, Lut, Jozeau, Dominique, Balestra, Costantino, D'hooge, Jan, Staessen, Jan A., Kuznetsova, Tatiana, Van Vlierberghe, Eline, Knez, Judita, Szczesny, Gregory, Thijs, Lut, Jozeau, Dominique, Balestra, Costantino, D'hooge, Jan, and Staessen, Jan A.

Abstract

Vasodilation of the peripheral arteries during reactive hyperaemia depends in part on release of nitric oxide from endothelial cells. Previous studies mainly employed a fingertip tonometric device to derive pulse wave amplitude (PWA) and PWA hyperaemic changes. An alternative approach is based on photoplethysmography (PPG). We sought to evaluate the correlates of digital PPG PWA hyperaemic responses as a measure of peripheral vascular function., Journal Article, info:eu-repo/semantics/published

Published
2014

27. Left ventricular diastolic function associated with common genetic variation in ATP12Ain a general population

Author

Knez, Judita, primary, Salvi, Erika, additional, Tikhonoff, Valérie, additional, Stolarz-Skrzypek, Katarzyna, additional, Ryabikov, Andrew, additional, Thijs, Lutgarde, additional, Braga, Daniele, additional, Kloch-Badelek, Malgorzata, additional, Malyutina, Sofia, additional, Casiglia, Edoardo, additional, Czarnecka, Danuta, additional, Kawecka-Jaszcz, Kalina, additional, Cusi, Daniele, additional, Nawrot, Tim, additional, Staessen, Jan A, additional, and Kuznetsova, Tatiana, additional

Published
2014
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29. Heritability and other determinants of left ventricular diastolic function in the family-based population study

Author

Kloch-Badelek, Malgorzata, primary, Knez, Judita, additional, Tikhonoff, Valérie, additional, Thijs, Lutgarde, additional, Sakiewicz, Wojciech, additional, Ryabikov, Andrew, additional, Stolarz-Skrzypek, Katarzyna, additional, Jin, Yu, additional, Malyutina, Sofia, additional, Casiglia, Edoardo, additional, Narkiewicz, Krzysztof, additional, Czarnecka, Danuta, additional, Kawecka-Jaszcz, Kalina, additional, Staessen, Jan A., additional, and Kuznetsova, Tatiana, additional

Published
2014
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32. Doppler indexes of left ventricular systolic and diastolic function in relation to the arterial stiffness in a general population.

Author

Ryota Yoshitomi, Masaru Nakayama, Teppei Sakoh, Akiko Fukui, Yui Shikuwa, Mitsuhiro Tominaga, Takuya Tsuchihashi, Kazuhiko Tsuruya, Takanari Kitazono, Cauwenberghs, Nicholas, Knez, Judita, Tikhonoff, Valérie, D'hooge, Jan, Kloch-Badelek, Malgorzata, Thijs, Lutgarde, Stolarz-Skrzypek, Katarzyna, Haddad, Francois, Wojciechowska, Wiktoria, Swierblewska, Ewa, and Casiglia, Edoardo

Published
2016
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34. Coronary risk in relation to genetic variation in MEOX2 and TCF15 in a Flemish population.

Author

Wen-Yi Yang, Petit, Thibault, Thijs, Lutgarde, Zhen-Yu Zhang, Jacobs, Lotte, Hara, Azusa, Fang-Fei Wei, Salvi, Erika, Citterio, Lorena, Delli Carpini, Simona, Yu-Mei Gu, Knez, Judita, Cauwenberghs, Nicholas, Barcella, Matteo, Barlassina, Cristina, Manunta, Paolo, Coppiello, Giulia, Aranguren, Xabier L., Kuznetsova, Tatiana, and Cusi, Daniele

Subjects
CORONARY heart disease risk factors, HETERODIMERS, HUMAN genetic variation, GENETIC transcription, TREATMENT of cardiomyopathies, PHYSIOLOGY
Abstract

Background: In mice MEOX2/TCF15 heterodimers are highly expressed in heart endothelial cells and are involved in the transcriptional regulation of lipid transport. In a general population, we investigated whether genetic variation in these genes predicted coronary heart disease (CHD). Results: In 2027 participants randomly recruited from a Flemish population (51.0 % women; mean age 43.6 years), we genotyped six SNPs in MEOX2 and four in TCF15. Over 15.2 years (median), CHD, myocardial infarction, coronary revascularisation and ischaemic cardiomyopathy occurred in 106, 53, 78 and 22 participants. For SNPs, we contrasted CHD risk in minor-allele heterozygotes and homozygotes (variant) vs. major-allele homozygotes (reference) and for haplotypes carriers (variant) vs. non-carriers. In multivariable-adjusted analyses with correction for multiple testing, CHD risk was associated with MEOX2 SNPs (P ≤ 0.049), but not with TCF15 SNPs (P ≥ 0.29). The MEOX2 GTCCGC haplotype (frequency 16.5 %) was associated with the sex- and age-standardised CHD incidence (5.26 vs. 3.03 events per 1000 person-years; P = 0.036); the multivariable-adjusted hazard ratio [HR] of CHD was 1.78 (95 % confidence interval, 1.25-2.56; P = 0.0054). For myocardial infarction, coronary revascularisation, and ischaemic cardiomyopathy, the corresponding HRs were 1.96 (1.16-3.31), 1.87 (1.20-2.91) and 3.16 (1.41-7.09), respectively. The MEOX2 GTCCGC haplotype significantly improved the prediction of CHD over and beyond traditional risk factors and was associated with similar population-attributable risk as smoking (18.7 % vs. 16.2 %). Conclusions: Genetic variation in MEOX2, but not TCF15, is a strong predictor of CHD. Further experimental studies should elucidate the underlying molecular mechanisms. [ABSTRACT FROM AUTHOR]

Published
2015
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35. Left ventricular diastolic function associated with common genetic variation in ATP12A in a general population.

Author

Knez, Judita, Salvi, Erika, Tikhonoff, Valérie, Stolarz-Skrzypek, Katarzyna, Ryabikov, Andrew, Thijs, Lutgarde, Braga, Daniele, Kloch-Badelek, Malgorzata, Malyutina, Sofia, Casiglia, Edoardo, Czarnecka, Danuta, Kawecka-Jaszcz, Kalina, Cusi, Daniele, Nawrot, Tim, Staessen, Jan A., and Kuznetsova, Tatiana

Subjects
*DIASTOLE (Cardiac cycle), *LEFT heart ventricle diseases, *HUMAN genetic variation, *ECHOCARDIOGRAPHY, *EPIDEMIOLOGY
Abstract

Background Left ventricular (LV) function depends on the activity of transmembrane electrolyte transporters. Failing human myocardium has lower Na+/K+ ATPase expression and higher intracellular sodium concentrations. The ATP12A gene encodes a catalytic subunit of an ATPase that can function as a Na+/K+ pump. We, therefore, investigated the association between LV function and common genetic variants in ATP12A. Methods A random sample of 1166 participants (53.7% women; mean age 49.5 years, 44.8% hypertensive) was recruited in Belgium, Poland, Italy and Russia. We measured transmitral early and late diastolic velocities (E and A) by pulsed wave Doppler, and mitral annular velocities (e' and a') by tissue Doppler. Using principal component analysis, we summarized 7 Doppler indexes - namely, E, A, e' and a' velocities, and their ratios (E/A, e'/a', and E/e') - into a single diastolic score. We genotyped 5 tag SNPs (rs963984, rs9553395, rs10507337, rs12872010, rs2071490) in ATP12A. In our analysis we focused on rs10507337 because it is located within a transcription factor binding site. Results In the population-based analyses while adjusting for covariables and accounting for family clusters and country, rs10507337 C allele carriers had significantly higher E/A (P = 0.003), e' (P = 5.8x10-5), e'/a' (P = 0.003) and diastolic score (P = 0.0001) compared to TT homozygotes. Our findings were confirmed in the haplotype analysis and in the family-based analyses in 74 informative offspring. Conclusions LV diastolic function as assessed by conventional and tissue Doppler indexes including a composite diastolic score was associated with genetic variation in ATP12A. Further experimental studies are necessary to clarify the role of ATP12A in myocardial relaxation. [ABSTRACT FROM AUTHOR]

Published
2014
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36. Doppler indexes of left ventricular systolic and diastolic flow and central pulse pressure in relation to renal resistive index.

Author

Kuznetsova T, Cauwenberghs N, Knez J, Thijs L, Liu YP, Gu YM, and Staessen JA

Subjects
Adult, Aged, Belgium, Blood Flow Velocity, Chi-Square Distribution, Female, Humans, Linear Models, Longitudinal Studies, Male, Manometry, Middle Aged, Multivariate Analysis, Predictive Value of Tests, Pulse Wave Analysis, Risk Factors, Vascular Stiffness, Blood Pressure, Diastole, Echocardiography, Doppler, Pulsed, Hypertension diagnostic imaging, Hypertension physiopathology, Kidney blood supply, Renal Circulation, Systole, Ultrasonography, Doppler, Color, Vascular Resistance, Ventricular Function, Left
Abstract

Background: The cardio-renal interaction occurs via hemodynamic and humoral factors. Noninvasive assessment of renal hemodynamics is currently possible by assessment of renal resistive index (RRI) derived from intrarenal Doppler arterial waveforms as ((peak systolic velocity - end-diastolic velocity)/peak systolic velocity). Limited information is available regarding the relationship between RRI and cardiac hemodynamics. We investigated these associations in randomly recruited subjects from a general population., Methods: In 171 participants (48.5% women; mean age, 52.2 years), using pulsed wave Doppler, we measured RRI (mean, 0.60) and left ventricular outflow tract (LVOT) and transmitral (E and A) blood flow peak velocities and its velocity time integrals (VTI). Using carotid applanation tonometry, we measured central pulse pressure and arterial stiffness indexes such as augmentation pressure and carotid-femoral pulse wave velocity., Results: In stepwise regression analysis, RRI independently and significantly increased with female sex, age, body weight, brachial pulse pressure, and use of β-blockers, whereas it decreased with body height and mean arterial pressure. In multivariable-adjusted models with central pulse pressure and arterial stiffness indexes as the explanatory variables, we observed a significant and positive correlation of RRI only with central pulse pressure (P < 0.0001). Among the Doppler indexes of left ventricular blood flow, RRI was significantly and positively associated with LVOT and E peak velocities (P ≤ 0.012) and VTIs (P ≤ 0.010)., Conclusions: We demonstrated that in unselected subjects RRI was significantly associated with central pulse pressure and left ventricular systolic and diastolic Doppler blood flow indexes. Our findings imply that in addition to the anthropometric characteristics, cardiac hemodynamic factors influence the intrarenal arterial Doppler waveform patterns., (© American Journal of Hypertension, Ltd 2014. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Published
2015
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