A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
27 Jun 2024
27 Jun 2024
Historique:
received:
14
04
2023
accepted:
03
06
2024
medline:
28
6
2024
pubmed:
28
6
2024
entrez:
27
6
2024
Statut:
epublish
Résumé
Accurate differentiation between angina with no obstructive coronary arteries (ANOCA) and mental stress-induced myocardial ischemia (MSIMI) is crucial for tailored treatment strategies, yet public data scarcity hampers understanding. Given the higher incidence of both conditions in women, this study prospectively enrolled 80 female ANOCA and 39 age-matched female controls, subjecting them to three types of mental stress tasks. ECGs were continuously monitored across Rest, Stress, and Recover stages of the mental stress tasks, with PET/CT imaging during the Stress stage to evaluate myocardial perfusion. With PET/CT serving as the gold standard for MSIMI diagnosis, 35 of the 80 ANOCA patients were diagnosed as MSIMI. Using ECG variables from different stages of mental stress tasks, we developed five machine learning models to diagnose MSIMI. The results showed that ECG data from different stages provide valuable information for MSIMI classification. Additionally, the dataset encompassed demographic details, physiological, and blood sample test results of the patients. We anticipate this new dataset will significantly push further progress in ANOCA and MSIMI research.
Identifiants
pubmed: 38937514
doi: 10.1038/s41597-024-03462-2
pii: 10.1038/s41597-024-03462-2
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
704Subventions
Organisme : National Science Foundation of China | Young Scientists Fund
ID : 82200558
Informations de copyright
© 2024. The Author(s).
Références
Samuels, B. A. et al. Comprehensive Management of ANOCA, Part 1—Definition, Patient Population, and Diagnosis: JACC State-of-the-Art Review. J. Am. Coll. Cardiol, https://doi.org/10.1016/j.jacc.2023.06.043 (2023).
Belmonte, M. et al. Gender-related differences in absolute coronary flow and microvascular resistance in patients with angina and non-obstructed coronary arteries (ANOCA). Eur. Heart J. 44, ehad655.2138 (2023).
doi: 10.1093/eurheartj/ehad655.2138
Vaccarino, V. et al. Sex differences in mental stress-induced myocardial ischemia in young survivors of an acute myocardial infarction. Psychosom. Med. 76, 171–180 (2014).
doi: 10.1097/PSY.0000000000000045
pubmed: 24608039
pmcid: 4008686
Pimple, P. et al. Chest Pain and Mental Stress Induced Myocardial Ischemia: Sex Differences. Am. J. Med. 131, 540–547.e1 (2018).
doi: 10.1016/j.amjmed.2017.11.026
pubmed: 29224740
Vaccarino, V. et al. Association of Mental Stress-Induced Myocardial Ischemia With Cardiovascular Events in Patients With Coronary Heart Disease. JAMA 326, 1818–1828 (2021).
doi: 10.1001/jama.2021.17649
pubmed: 34751708
pmcid: 8579237
Sullivan, S. et al. Sex Differences in Hemodynamic and Microvascular Mechanisms of Myocardial Ischemia Induced by Mental Stress. Arterioscler. Thromb. Vasc. Biol. 38, 473–480 (2018).
doi: 10.1161/ATVBAHA.117.309535
pubmed: 29269515
Jiang, W. et al. Effect of escitalopram on mental stress-induced myocardial ischemia: results of the REMIT trial. JAMA 309, 2139–2149 (2013).
doi: 10.1001/jama.2013.5566
pubmed: 23695483
pmcid: 4378823
Practical Approach for Angina and Non-Obstructive Coronary Arteries: A State-of-the-Art Review - PMC. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435829/ .
Ma, H. et al. Assessing mental stress on myocardial perfusion and myocardial blood flow in women without obstructive coronary disease: protocol for a mechanistic clinical trial. BMJ Open 10, e038362 (2020).
doi: 10.1136/bmjopen-2020-038362
pubmed: 33293388
pmcid: 7725072
Zhang, L. et al. A meta-analysis on the prevalence, associated factors and diagnostic methods of mental stress induced myocardial ischemia. J. Transl. Med. 18, 218 (2020).
doi: 10.1186/s12967-020-02383-z
pubmed: 32471451
pmcid: 7257246
Stepanovic, J. et al. Mental Stress–Induced Ischemia in Patients With Coronary Artery Disease: Echocardiographic Characteristics and Relation to Exercise-Induced Ischemia. Psychosom. Med. 74, 766 (2012).
doi: 10.1097/PSY.0b013e3182689441
pubmed: 22923698
Kuroda, T. et al. Effect of mental stress on left ventricular ejection fraction and its relationship to the severity of coronary artery disease. Eur. J. Nucl. Med. 27, 1760–1767 (2000).
doi: 10.1007/s002590000383
pubmed: 11189937
Kim, C. K. et al. Detection and reproducibility of mental stress-induced myocardial ischemia with Tc-99m sestamibi SPECT in normal and coronary artery disease populations. J. Nucl. Cardiol. Off. Publ. Am. Soc. Nucl. Cardiol. 10, 56–62 (2003).
Zhang, J. et al. Cardiac Electrophysiological Substrate Underlying the ECG Phenotype and Electrogram Abnormalities in Brugada Syndrome Patients. Circulation 131, 1950–1959 (2015).
doi: 10.1161/CIRCULATIONAHA.114.013698
pubmed: 25810336
pmcid: 4452400
Singh, I. & Rabkin, S. W. Circadian variation of the QT interval and heart rate variability and their interrelationship. J. Electrocardiol. 65, 18–27 (2021).
doi: 10.1016/j.jelectrocard.2021.01.004
pubmed: 33465743
Chetran, A. et al. ECG and Biomarker Profile in Patients with Acute Heart Failure: A Pilot Study. Diagn. Basel Switz. 12, 3037 (2022).
Pham, T., Lau, Z. J., Chen, S. H. A. & Makowski, D. Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial. Sensors 21, 3998 (2021).
doi: 10.3390/s21123998
pubmed: 34207927
pmcid: 8230044
Shah, A. S. et al. Alterations in heart rate variability are associated with abnormal myocardial perfusion. Int. J. Cardiol. 305, 99–105 (2020).
doi: 10.1016/j.ijcard.2020.01.069
pubmed: 32024598
pmcid: 8019069
Costa, M. D., Davis, R. B. & Goldberger, A. L. Heart Rate Fragmentation: A New Approach to the Analysis of Cardiac Interbeat Interval Dynamics. Front. Physiol. 8, 255 (2017).
doi: 10.3389/fphys.2017.00255
pubmed: 28536533
pmcid: 5422439
Kamath, M. V., Watanabe, M. A. & Upton, A. R. M. Heart Rate Variability (HRV) Signal Analysis: Clinical Applications. (Taylor & Francis, Boca Raton, 2013).
Peng, X. & Li, D. Multimodal Physiological and Psychological Database for MSIMI study. ScienceDB https://doi.org/10.57760/sciencedb.07687 (2023).