Article
Peripheral Vascular Disease
Anna Kivioja, Elli Toivonen, Jaakko Tyrmi, Sanni Ruotsalainen, Samuli Ripatti, Heini Huhtala, Tiina Jaaskelainen, Seppo Heinonen, Eero Kajantie, Juha Kere, Katja Kivinen, Anneli Pouta, Tanja Saarela, Hannele Laivuori
Summary: The study found that the polygenic risk score for blood pressure (BP-PRS) is associated with an increased risk of preeclampsia and its severe subtypes, with women with high BP-PRS presenting higher blood pressure values during pregnancy.
Article
Cardiac & Cardiovascular Systems
Shi Fang, M. Christine Livergood, Pablo Nakagawa, Jing Wu, Curt D. Sigmund
Summary: This review focuses on the mechanisms by which nuclear receptors mediate transcriptional responses, with a specific emphasis on the role of PPARγ in regulating blood pressure. Genetic and clinical trial data demonstrate the importance of PPARγ in hypertension, and the tissue- and cell-specific molecular mechanisms by which PPARs modulate blood pressure and related phenotypes are detailed. The role of placental PPARs in preeclampsia is also discussed, along with future research directions and implications for novel therapies.
CIRCULATION RESEARCH
(2021)
Article
Peripheral Vascular Disease
Kyle R. Roell, Quaker E. Harmon, Kari Klungsoyr, Anna E. Bauer, Per Magnus, Stephanie M. Engel
Summary: This study investigated changes in gestational blood pressure trajectories among preeclampsia cases, finding that individuals with a more rapid increase in blood pressure and those with a high starting blood pressure experienced worse pregnancy outcomes.
Article
Obstetrics & Gynecology
Young Mi Jung, Gyu Chul Oh, Eunjin Noh, Hae-Young Lee, Min-Jeong Oh, Joong Shin Park, Jong Kwan Jun, Seung Mi Lee, Geum Joon Cho
Summary: Hypertension before pregnancy, specifically stage I hypertension, increases the risk of obstetric complications. Lower pre-pregnancy blood pressure is associated with better maternal and neonatal outcomes. Pregnant women with stage I hypertension prior to pregnancy should be carefully monitored for adverse outcomes.
BMC PREGNANCY AND CHILDBIRTH
(2022)
Article
Peripheral Vascular Disease
Sonia Johnson, Sanne Gordijn, Stefanie Damhuis, Wessel Ganzevoort, Mark Brown, Peter von Dadelszen, Laura A. Magee, Asma Khalil
Summary: This study used the Delphi procedure to reach consensus on diagnostic criteria and monitoring strategies for white coat hypertension in pregnancy.
Article
Environmental Sciences
Emma Preston, Marie-France Hivert, Abby F. Fleisch, Antonia M. Calafat, Sharon K. Sagiv, Wei Perng, Sheryl L. Rifas-Shiman, Jorge E. Chavarro, Emily Oken, Ami R. Zota, Tamarra James-Todd
Summary: This study found that exposure to certain PFAS may increase the risk of gestational hypertension during pregnancy, with potential implications for maternal and child health outcomes.
ENVIRONMENT INTERNATIONAL
(2022)
Article
Psychiatry
Margaret H. Bublitz, Elena Salmoirago-Blotcher, Laura Sanapo, Nina Ayala, Niharika Mehta, Ghada Bourjeily
Summary: This pilot randomized clinical trial suggests that prenatal mindfulness training is feasible and acceptable, and may be a useful adjunctive preventative treatment for hypertensive disorders of pregnancy among at-risk pregnant patients.
JOURNAL OF PSYCHOSOMATIC RESEARCH
(2023)
Review
Cell Biology
Megan A. Opichka, Matthew W. Rappelt, David D. Gutterman, Justin L. Grobe, Jennifer J. McIntosh
Summary: Preeclampsia is a life-threatening cardiovascular disorder associated with pregnancy, potentially caused by dysfunction in maternal and placental blood vessels and other factors. Current gaps in knowledge include detailed understanding of its underlying causes and effective treatment options.
Article
Cardiac & Cardiovascular Systems
Janet M. Catov, Rebecca B. McNeil, Derek J. Marsh, Brian M. Mercer, C. Noel Bairey Merz, Corette B. Parker, Victoria L. Pemberton, George R. Saade, Yii-Der (Ida) Chen, Judith H. Chung, Deborah B. Ehrenthal, William A. Grobman, David M. Haas, Samuel Parry, LuAnn Polito, Uma M. Reddy, Robert M. Silver, Hyagriv N. Simhan, Ronald J. Wapner, Michelle Kominiarek, Rolf Kreutz, Lisa D. Levine, Philip Greenland
Summary: In primiparous women, APO/GDM is associated with atherosclerotic characteristics and increased risk of hypertension later. Higher glucose, high-sensitivity C-reactive protein, and triglycerides levels are linked to hypertension, while increased physical activity is protective. Nonobese individuals with higher lipid, high-sensitivity C-reactive protein, and insulin levels have increased risk of APO/GDM and hypertension.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2021)
Article
Health Care Sciences & Services
Adila Awaludin, Cherry Rahayu, Nur Aizati Athirah Daud, Neily Zakiyah
Summary: This systematic review assessed the efficacy and safety of antihypertensive drugs in severe hypertension during pregnancy. The results showed that several drugs, including nifedipine and labetalol, can be used for the treatment of severe hypertension in pregnancy. There was no difference in the risk of maternal hypotension, maternal and fetal outcomes, and adverse effects between the drugs, except for dihydralazine and ketanserin, which had more adverse effects.
Article
Biochemistry & Molecular Biology
Katarzyna Gajewska, Marzena Laskowska, Agostinho Almeida, Edgar Pinto, Katarzyna Skorzynska-Dziduszko, Anna Blazewicz
Summary: The study compared blood lead levels in preeclamptic women with healthy pregnant women, finding significantly higher BLL in the PE group. Furthermore, BLL showed a significant positive relationship with the presence of PE.
Article
Peripheral Vascular Disease
Laura A. Magee, Jeffrey Bone, Salwa Banoo Owasil, Joel Singer, Terry Lee, Mrutunjaya B. Bellad, Shivaprasad S. Goudar, Alexander G. Logan, Salesio E. Macuacua, Ashalata A. Mallapur, Hannah L. Nathan, Rahat N. Qureshi, Esperanca Sevene, Andrew H. Shennan, Anifa Vala, Marianne Vidler, Zulfiqar A. Bhutta, Peter von Dadelszen
Summary: In pregnancy, higher blood pressure levels and visit-to-visit variability are associated with adverse pregnancy outcomes, with each 5 mm Hg increase in blood pressure levels leading to increased odds of the composite outcome. Increased blood pressure visit-to-visit variability is also associated with increased odds of hypertension and adverse pregnancy outcomes.
Article
Peripheral Vascular Disease
Martin R. Salazar, Walter G. Espeche, Carlos E. Leiva Sisnieguez, Julian Minetto, Eduardo Balbin, Adelaida Soria, Osvaldo Yoma, Marcelo Prudente, Soledad Torres, Florencia Grassi, Claudia Santillan, Horacio A. Carbajal
Summary: Nocturnal hypertension is a significant predictor of early-onset preeclampsia in high-risk pregnancies, with a high prevalence among affected women. Office and ambulatory blood pressure measurements show distinct differences between different types of preeclampsia, with a stronger predictive value for early-onset PE.
HYPERTENSION RESEARCH
(2021)
Article
Environmental Sciences
Sabrina M. Bedell, Grace R. Lyden, Sheela Sathyanarayana, Emily S. Barrett, Kelly K. Ferguson, Ashley Santilli, Nicole R. Bush, Shanna H. Swan, Thomas F. McElrath, Ruby H. N. Nguyen
Summary: Several phthalate metabolite concentrations were found to be significantly associated with pregnancy-induced hypertension (PIH) and increased systolic blood pressure throughout pregnancy.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Endocrinology & Metabolism
Nicoline Callesen Do, Marianne Vestgaard, Bjorg Asbjornsdottir, Lise Lotte Torvin Andersen, Dorte Moller Jensen, Lene Ringholm, Peter Damm, Elisabeth Reinhardt Mathiesen
Summary: In women with preexisting diabetes, both home blood pressure and office blood pressure are positively associated with the development of preeclampsia, and their predictive abilities are comparable. Home blood pressure is lower than office blood pressure in both early and late pregnancy, and the difference increases with increasing office blood pressure.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Biology
Cristobal Rodero, Marina Strocchi, Angela W. C. Lee, Christopher A. Rinaldi, Edward J. Vigmond, Gernot Plank, Pablo Lamata, Steven A. Niederer
Summary: Lead position plays a crucial role in the response to CRT in patients with HF, and MPP improves potential outcomes. By evaluating different pacing configurations, it was found that a single optimal lead design can achieve near-optimal results for most patients.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Cardiac & Cardiovascular Systems
Gabriel Balaban, Brian P. Halliday, Daniel Hammersley, Christopher A. Rinaldi, Sanjay K. Prasad, Martin J. Bishop, Pablo Lamata
Summary: In this study, a novel three-dimensional shape analysis approach was used to quantify left ventricular remodeling in patients with non-ischemic dilated cardiomyopathy (DCM) and predict arrhythmias. The results showed that biomarkers of LV shape remodeling can help identify DCM patients at high risk of lethal ventricular arrhythmias.
Article
Cardiac & Cardiovascular Systems
Harminder Gill, Joao Fernandes, Omar Chehab, Bernard Prendergast, Simon Redwood, Amedeo Chiribiri, David Nordsletten, Ronak Rajani, Pablo Lamata
Summary: Uni-dimensional Doppler echocardiography data is the primary method for quantitatively assessing aortic stenosis, with transvalvular pressure drop being a crucial indicator of hemodynamic burden. Advanced techniques in velocity data acquisition and computational analysis have improved the accuracy and reproducibility of measurements. Three-dimensional imaging modalities allow angle-independent valve interrogation and calculation of more precise measures of the transvalvular pressure drop. This manuscript explores the fundamental physics principles underlying aortic stenosis evaluation and discusses modern techniques that may offer more accurate grading and inform appropriate management.
TRENDS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Cardiac & Cardiovascular Systems
Ross Upton, Angela Mumith, Arian Beqiri, Andrew Parker, William Hawkes, Shan Gao, Mihaela Porumb, Rizwan Sarwar, Patricia Marques, Deborah Markham, Jake Kenworthy, Jamie M. O'Driscoll, Neelam Hassanali, Kate Groves, Cameron Dockerill, William Woodward, Maryam Alsharqi, Annabelle McCourt, Edmund H. Wilkes, Stephen B. Heitner, Mrinal Yadava, David Stojanovski, Pablo Lamata, Gary Woodward, Paul Leeson
Summary: This study aimed to investigate whether an AI system could automate stress echocardiography analysis and support clinician interpretation. An automated image processing pipeline was developed to extract novel features from stress echocardiograms, and a machine learning classifier was trained to identify patients with severe coronary artery disease. The AI classification tool increased accuracy, inter-reader agreement, and reader confidence in the clinical interpretation of stress echocardiograms.
JACC-CARDIOVASCULAR IMAGING
(2022)
Article
Cardiac & Cardiovascular Systems
Jorge Corral Acero, Andreas Schuster, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Soren J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Ingo Eitel, Vicente Grau
Summary: This study developed a fully automated pipeline to quantify 3D differences in end-systolic shape and contraction, which improved post-AMI risk prediction and identified shape and contraction patterns related to major adverse cardiac events (MACE) occurrence.
JACC-CARDIOVASCULAR IMAGING
(2022)
Article
Engineering, Biomedical
Cristobal Rodero, Stefano Longobardi, Christoph Augustin, Marina Strocchi, Gernot Plank, Pablo Lamata, Steven A. Niederer
Summary: Previous patient-specific model calibration techniques have been expensive for large-scale clinical adoption. This work shows how simulations can be reused to accelerate the calibration process, reducing the computational load of future biomedical studies.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Cardiac & Cardiovascular Systems
Uxio Hermida, Milou P. M. van Poppel, David F. A. Lloyd, Johannes K. Steinweg, Trisha V. Vigneswaran, John M. Simpson, Reza Razavi, Adelaide De Vecchi, Kuberan Pushparajah, Pablo Lamata
Summary: This study presents a statistical shape modeling pipeline to analyze the role and predictive value of arch shape in the antenatal diagnosis of CoA. By using fetal CMR data, a statistical shape model was built and achieved a high classification accuracy. This research provides novel insights for improving the antenatal diagnosis of CoA.
JOURNAL OF CARDIOVASCULAR TRANSLATIONAL RESEARCH
(2023)
Article
Pediatrics
Tamara den Harink, Joost Schuppen, Maciej Marciniak, Karen A. Voet, R. Nils Planken, Annemieke Hoek, Henk Groen, Reinoud J. B. J. Gemke, Ben Willem Mol, Nico A. A. Blom, Pablo Lamata, Tessa J. J. Roseboom, Arend W. W. van Deutekom
Summary: A preconception lifestyle intervention in women with obesity improves cardiovascular health in their offspring, as indicated by higher left ventricular ejection fraction and altered cardiac shape assessed by MRI.
PEDIATRIC RESEARCH
(2023)
Article
Cardiac & Cardiovascular Systems
Harminder Gill, Joao Filipe Fernandes, Amanda Nio, Cameron Dockerill, Nili Shah, Naajia Ahmed, Jason Raymond, Shu Wang, Julio Sotelo, Jesus Urbina, Sergio Uribe, Ronak Rajani, Kawal Rhode, Pablo Lamata
Summary: This study focuses on imaging techniques and pressure drops in aortic stenosis. A customisable and cost-effective valve phantom circuit was developed to replicate valve mechanics and pathology. The reproducibility and relationship of different hemodynamic metrics were assessed, and it was found that peak and net pressure drops are reliable indicators of stenotic burden, while peak-to-peak pressure drop is confounded by non-valvular factors and should be reconsidered in clinical practice.
JOURNAL OF CARDIOVASCULAR TRANSLATIONAL RESEARCH
(2023)
Editorial Material
Cardiac & Cardiovascular Systems
Otto A. Smiseth, Joao F. Fernandes, Pablo Lamata
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING
(2023)
Article
Cardiac & Cardiovascular Systems
Uxio Hermida, David Stojanovski, Betty Raman, Rina Ariga, Alistair A. Young, Valentina Carapella, Gerry Carr-White, Elena Lukaschuk, Stefan K. Piechnik, Christopher M. Kramer, Milind Y. Desai, William S. Weintraub, Stefan Neubauer, Hugh Watkins, Pablo Lamata
Summary: This study aimed to identify the left ventricular end-diastolic morphology underlying obstructive hypertrophic cardiomyopathy (oHCM). The results suggest that LV anatomy of oHCM consists of basal septal hypertrophy, apical dilatation, LV lengthening, and LVOT inward remodelling. Significant differences were observed between oHCM cases at rest and stress. Genotype negative cases tended to have more severe obstructive phenotypes at both rest and stress.
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING
(2023)
Article
Cardiac & Cardiovascular Systems
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Soeren J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau
Summary: In this study, a novel geometric deep learning approach called variational mesh autoencoder (mesh VAE) is proposed to model the variations in cardiac shapes across the population. It enables efficient processing of surface mesh representations of the cardiac anatomy and performs well in cardiac disease detection and prediction.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Acoustics
Woo-Jin Cho Kim, Arian Beqiri, Adam J. Lewandowski, Angela Mumith, Rizwan Sarwar, Andrew King, Paul Leeson, Pablo Lamata
Summary: This study aimed to develop an automatic pipeline for the detection of foreshortening in echocardiographic images. Synthetic apical-four-chamber (A4C) views with ground truth foreshortening labels were generated using a statistical shape model. The method achieved acceptable accuracy in identifying foreshortened views, with a sensitivity, specificity, and AUC of 0.84, 0.82, and 0.84, respectively. The contour shape model trained on synthetic views accurately predicted foreshortening in real echocardiographic images.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Hassan A. Zaidi, Richard E. Jones, Daniel J. Hammersley, Suzan Hatipoglu, Gabriel Balaban, Lukas Mach, Brian P. Halliday, Pablo Lamata, Sanjay K. Prasad, Martin J. Bishop
Summary: Machine learning analysis of complex myocardial scar patterns can enhance risk prediction of life-threatening arrhythmia in stable coronary artery disease. This study assessed the utility of computational image analysis and machine learning to identify scar microstructure features on LGE-CMR that predict major arrhythmic events in patients with CAD. The results demonstrated that machine learning models using LGE-CMR scar microstructure features can improve arrhythmic risk stratification.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Cardiac & Cardiovascular Systems
Joao Filipe Fernandes, Harminder Gill, Amanda Nio, Alessandro Faraci, Valeria Galli, David Marlevi, Malenka Bissell, Hojin Ha, Ronak Rajani, Peter Mortier, Saul G. Myerson, Petter Dyverfeldt, Tino Ebbers, David A. Nordsletten, Pablo Lamata
Summary: Non-invasive assessment of the distance to pressure recovery is possible using 4D Flow CMR tracking of blood flow momentum. Current clinical practices underestimate the pressure recovery distance in aortic stenosis, calling for re-evaluation of the methods that measure the hemodynamic burden caused by this condition.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
(2023)