Literature DB >> 34919164

The association between heart rate reserve and impaired coronary flow velocity reserve: a study based on adenosine stress echocardiography.

Tingting Liu1,2, Mingyan Ding2, Dandan Sun2, Huihui Zhang2, Lijuan Guo2, Ying Li2, Hanzhang Zhao2, Fang Zhu3.   

Abstract

This study was to explore the correlation between heart rate reserve (HRR) to coronary flow velocity reserve (CFVR), using adenosine stress echocardiography (SE), in patients with angina and no obstructive coronary artery disease (ANOCA). 111 ANOCA patients underwent adenosine SE were enrolled, which were divided into two groups, impaired CFVR group (CFVR < 2) and control groups (CFVR ≥ 2). The relationships between HRR and impaired CFVR were explored in total and subgroup to sex. A reduced HRR during adenosine infusion was seen in ANOCA patients with impaired CFVR (25.73 ± 8.39 vs. 34.30 ± 19.93, P < 0.001). Compared to respective controls, the blunted HRR to adenosine was more pronounced in female patients (women: 27.21 ± 8.01 vs. 39.48 ± 10.57, P < 0.001; men: 24.05 ± 8.70 vs. 29.12 ± 8.69, P = 0.041). A strong association between CFVR and a blunted HRR was observed in women (r = 0.46, P < 0.001), while no association in men (r = 0.18, P = 0.199). In female, a multivariate logistic regression identified HRR as the strongest negative predictor of impaired CFVR [HR (95% CI) = 0.854 (0.764-0.956), P = 0.006]. Based on the ROC curve, HRR < 35% was a strong indicator of impaired CFVR, with AUC of 0.838, sensitivity of 70%, and specificity of 87% in females. A blunted HRR was seen in patients with impaired CFVR, with a most pronounced effect being seen in female patients. The blunted HRR < 35% is intricately linked to impaired CFVR in women with ANOCA beyond the value of traditional risk factors, which could ultimately contribute to risk stratification of impaired CFVR in such patients.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Adenosine stress echocardiography; Coronary flow velocity reserve; Heart rate reserve

Year:  2021        PMID: 34919164     DOI: 10.1007/s10554-021-02480-0

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  30 in total

Review 1.  Emergence of Nonobstructive Coronary Artery Disease: A Woman's Problem and Need for Change in Definition on Angiography.

Authors:  Carl J Pepine; Keith C Ferdinand; Leslee J Shaw; Kelly Ann Light-McGroary; Rashmee U Shah; Martha Gulati; Claire Duvernoy; Mary Norine Walsh; C Noel Bairey Merz
Journal:  J Am Coll Cardiol       Date:  2015-10-27       Impact factor: 24.094

2.  Diagnostic accuracy of stress myocardial computed tomography perfusion imaging to detect myocardial ischemia: a comparison with coronary flow velocity reserve derived from transthoracic Doppler echocardiography.

Authors:  Tamami Kono; Teruyoshi Uetani; Katsuji Inoue; Takayuki Nagai; Kazuhisa Nishimura; Jun Suzuki; Yuki Tanabe; Teruhito Kido; Akira Kurata; Teruhito Mochizuki; Akiyoshi Ogimoto; Takafumi Okura; Jitsuo Higaki; Osamu Yamaguchi; Shuntaro Ikeda
Journal:  J Cardiol       Date:  2020-04-27       Impact factor: 3.159

Review 3.  Ischemia and No Obstructive Coronary Artery Disease (INOCA): Developing Evidence-Based Therapies and Research Agenda for the Next Decade.

Authors:  C Noel Bairey Merz; Carl J Pepine; Mary Norine Walsh; Jerome L Fleg
Journal:  Circulation       Date:  2017-03-14       Impact factor: 29.690

4.  Coronary Flow Velocity Reserve in Stress Echocardiography: Time to Go With the Global Flow?

Authors:  Sharon L Mulvagh; Ahmed T Mokhtar
Journal:  J Am Coll Cardiol       Date:  2019-11-05       Impact factor: 24.094

5.  Functional, Anatomical, and Prognostic Correlates of Coronary Flow Velocity Reserve During Stress Echocardiography.

Authors:  Quirino Ciampi; Angela Zagatina; Lauro Cortigiani; Nicola Gaibazzi; Clarissa Borguezan Daros; Nadezhda Zhuravskaya; Karina Wierzbowska-Drabik; Jaroslaw D Kasprzak; José Luis de Castro E Silva Pretto; Antonello D'Andrea; Ana Djordjevic-Dikic; Ines Monte; Iana Simova; Alla Boshchenko; Rodolfo Citro; Miguel Amor; Pablo Martin Merlo; Claudio Dodi; Fausto Rigo; Suzana Gligorova; Milica Dekleva; Sergio Severino; Fabio Lattanzi; Maria Chiara Scali; Alexander Vrublevsky; Marco A R Torres; Alessandro Salustri; Hugo Rodrìguez-Zanella; Fabio Marco Costantino; Albert Varga; Eduardo Bossone; Paolo Colonna; Michele De Nes; Marco Paterni; Clara Carpeggiani; Jorge Lowenstein; Dario Gregori; Eugenio Picano
Journal:  J Am Coll Cardiol       Date:  2019-11-05       Impact factor: 24.094

Review 6.  International standardization of diagnostic criteria for microvascular angina.

Authors:  Peter Ong; Paolo G Camici; John F Beltrame; Filippo Crea; Hiroaki Shimokawa; Udo Sechtem; Juan Carlos Kaski; C Noel Bairey Merz
Journal:  Int J Cardiol       Date:  2017-09-08       Impact factor: 4.164

7.  Effects of sex on coronary microvascular dysfunction and cardiac outcomes.

Authors:  Venkatesh L Murthy; Masanao Naya; Viviany R Taqueti; Courtney R Foster; Mariya Gaber; Jon Hainer; Sharmila Dorbala; Ron Blankstein; Ornella Rimoldi; Paolo G Camici; Marcelo F Di Carli
Journal:  Circulation       Date:  2014-04-30       Impact factor: 29.690

8.  The Prognostic Value of Coronary Flow Velocity Reserve in Two Coronary Arteries During Vasodilator Stress Echocardiography.

Authors:  Lauro Cortigiani; Fausto Rigo; Francesco Bovenzi; Rosa Sicari; Eugenio Picano
Journal:  J Am Soc Echocardiogr       Date:  2018-10-25       Impact factor: 5.251

9.  Sex differences in non-obstructive coronary artery disease.

Authors:  Nida Waheed; Suzette Elias-Smale; Waddah Malas; Angela H Maas; Tara L Sedlak; Jennifer Tremmel; Puja K Mehta
Journal:  Cardiovasc Res       Date:  2020-03-01       Impact factor: 10.787

Review 10.  Diagnosis of patients with angina and non-obstructive coronary disease in the catheter laboratory.

Authors:  Haseeb Rahman; David Corcoran; Muhammad Aetesam-Ur-Rahman; Stephen P Hoole; Colin Berry; Divaka Perera
Journal:  Heart       Date:  2019-07-31       Impact factor: 5.994

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