4.3 Review

Mind injuries after cardiac surgery

Journal

JOURNAL OF CARDIOVASCULAR MEDICINE
Volume 16, Issue 12, Pages 844-851

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.2459/JCM.0000000000000133

Keywords

coronary artery bypass grafts; genetics; genomics; inflammatory mediators; neurocognitive deficits

Funding

  1. CNR Institute of Clinical Physiology

Ask authors/readers for more resources

After cardiac surgery, delirium, cognitive dysfunction, depression, or anxiety disorders frequently occur, and profoundly affect patients' prognosis and quality of life. This narrative review focuses on the main clinical presentations of cognitive and psychological problems ('mind injuries') that occur postoperatively in absence of ascertainable focal neurologic deficits, exploring their pathophysiological mechanisms and possible strategies for prevention and treatment. Postoperative cognitive dysfunction is a potentially devastating complication that can involve several mechanisms and several predisposing, intraoperative, and postoperative risk factors, which can result in or be associated to cerebral microvascular damage. Postoperative depression is influenced by genetic or psychosocial predisposing factors, by neuroendocrine activation, and by the release of several pro-inflammatory factors. The net effect of these changes is neuroinflammation. These complex biochemical alterations, along with an aspecific response to stressful life events, might target the function of several brain areas, which are thought to represent a trigger factor for the onset of depression.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Psychology, Multidisciplinary

Anxiety and depression in women hospitalized due to high-risk pregnancy: An integrative quantitative and qualitative study

Martina Smorti, Francesca Ginobbi, Tommaso Simoncini, Federica Pancetti, Alessia Carducci, Giulia Mauri, Angelo Gemignani

Summary: Literature has shown that hospitalized women with high-risk pregnancy tend to develop anxious and depressive symptoms. This study integrated quantitative and qualitative methods to analyze the levels of depression, anxiety, and pregnancy-related anxiety in hospitalized high-risk pregnant women compared to non-hospitalized women with low-risk pregnancies. The study also examined the emotions experienced by the hospitalized high-risk group. The results showed that the hospitalized high-risk group reported higher levels of general anxiety and depression compared to the low-risk pregnancy group. The narratives revealed that the symptoms of anxiety and depression in hospitalized women were related to the loneliness of being away from family.

CURRENT PSYCHOLOGY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography

Simone Saitta, Francesco Sturla, Alessandro Caimi, Alessandra Riva, Maria Chiara Palumbo, Giovanni Nano, Emiliano Votta, Alessandro Della Corte, Mattia Glauber, Dante Chiappino, Massimiliano M. Marrocco-Trischitta, Alberto Redaelli

Summary: The study demonstrated the utilization of a convolutional neural network for automated segmentation and quantification of relevant thoracic aortic features in TEVAR planning. The trained CNN showed high performance on a test set and was capable of generalizing to pathological cases, providing accurate segmentations. By comparing parameters between different arch configurations, it revealed significant differences in angulation and tortuosity at PLZ 3 for CILCA arches compared to standard arches.

JOURNAL OF DIGITAL IMAGING (2022)

Article Psychology, Biological

The Einstein effect provides global evidence for scientific source credibility effects and the influence of religiosity

Suzanne Hoogeveen, Julia M. Haaf, Joseph A. Bulbulia, Robert M. Ross, Ryan McKay, Sacha Altay, Theiss Bendixen, Renatas Berniunas, Arik Cheshin, Claudio Gentili, Raluca Georgescu, Will M. Gervais, Kristin Hagel, Christopher Kavanagh, Neil Levy, Alejandra Neely, Lin Qiu, Andre Rabelo, Jonathan E. Ramsay, Bastiaan T. Rutjens, Hugh Turpin, Filip Uzarevic, Robin Wuyts, Dimitris Xygalatas, Michiel van Elk

Summary: Regardless of religious beliefs, scientists are considered more authoritative than spiritual gurus, indicating that science is universally seen as a reliable heuristic for information.

NATURE HUMAN BEHAVIOUR (2022)

Article Multidisciplinary Sciences

Cardiac sympathetic-vagal activity initiates a functional brain-body response to emotional arousal

Diego Candia-Rivera, Vincenzo Catrambone, Julian F. Thayer, Claudio Gentili, Gaetano Valenza

Summary: The century-long debate on bodily states and emotions continues, with this study investigating the brain-heart interplay during emotional experiences. Using a computational model, the researchers found that sympathetic-vagal activity plays a leading and causal role in initiating the emotional response, and the subsequent dynamic interplay between the central and autonomic nervous systems sustains the processing of emotional arousal.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

Editorial Material Cardiac & Cardiovascular Systems

Commentary: We need a research agenda Comment

Andrea Montisci, Mattia Glauber, Antonio Miceli

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2022)

Article Psychology, Clinical

Machine learning item selection for short scale construction: A proof-of-concept using the SIMS

Graziella Orru, Barbara De Marchi, Giuseppe Sartori, Angelo Gemignani, Cristina Scarpazza, Merylin Monaro, Cristina Mazza, Paolo Roma

Summary: This proof-of-concept paper supports the use of machine learning as a viable alternative to traditional psychometric techniques in developing shorter versions of parent psychological tests. The results show that state-of-the-art machine learning item selection techniques can reduce the length of a test by 72% while capturing 92% of the original test's variance.

CLINICAL NEUROPSYCHOLOGIST (2023)

Article Computer Science, Cybernetics

Weakened Sustained Attention and Increased Cognitive Effort after Total Sleep Deprivation: A Virtual Reality Ecological Study

Pasquale Bufano, Niccolo Albertini, Simone Chiarelli, Vincenzo Barone, Marta Valleggi, Gianluca Parrini, Alessandro Tognetti, Valentina Cesari, Angelo Gemignani, Danilo Menicucci

Summary: Previous studies have shown that total sleep deprivation has a significant impact on sustained attention, but these studies have used tests that lack ecological validity. In this study, we evaluated the effects of total sleep deprivation on daily-life activities by using a virtual reality task, and found that sustained attention declines after 36 hours of total sleep deprivation, accompanied by greater cognitive effort.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2023)

Article Pediatrics

Social Media in Adolescents: A Retrospective Correlational Study on Addiction

Rebecca Ciacchini, Graziella Orru, Elisa Cucurnia, Silvia Sabbatini, Francesca Scafuto, Alessandro Lazzarelli, Mario Miccoli, Angelo Gemignani, Ciro Conversano

Summary: This study aimed to explore the psychological correlates of social media and internet problematic use during the first year of the covid-19 pandemic. Findings showed that 11% of the participants were significantly addicted to social media, largely females. Self-esteem and anxiety were significantly correlated with social media addiction. Gender (female) and trait anxiety were identified as predictors of social media addiction.

CHILDREN-BASEL (2023)

Article Surgery

Mitral Valve Re-Repair Due to Chordal Pseudo-Elongation Through Repeated Right Anterior Minithoracotomy

Bleri Celmeta, Antonio Miceli, Matteo Ferrarini, Mattia Glauber

Summary: This article presents a case of mitral valve re-repair due to early repair failure, utilizing a repeated right anterior minithoracotomy. The surgical procedure was successful and the patient had good clinical outcomes at follow-up.

INNOVATIONS-TECHNOLOGY AND TECHNIQUES IN CARDIOTHORACIC AND VASCULAR SURGERY (2022)

Article Biochemistry & Molecular Biology

A Longitudinal Study of Individual Radiation Responses in Pediatric Patients Treated with Proton and Photon Radiotherapy, and Interventional Cardiology: Rationale and Research Protocol of the HARMONIC Project

Maria Grazia Andreassi, Nadia Haddy, Mats Harms-Ringdahl, Jonica Campolo, Andrea Borghini, Francois Chevalier, Jochen M. Schwenk, Brice Fresneau, Stephanie Bolle, Manuel Fuentes, Siamak Haghdoost

Summary: The Health Effects of Cardiac Fluoroscopy and Modern Radiotherapy (photon and proton) in Pediatrics (HARMONIC) is a five-year project funded by the European Commission with the aim of improving understanding of long-term ionizing radiation risks for pediatric patients. This paper provides a detailed overview of the project's rationale, design, and methods for the biological aspect, with objectives to understand the molecular pathways and identify potential biomarkers involved in long-term health risks. Biological samples will be collected at three time points, and state-of-the-art analytical methods will be used to assess biomarker levels and explore proteomics and miRNA transcriptomes.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Editorial Material Cardiac & Cardiovascular Systems

Radiation Risks and Interventional Cardiology: The Value of Radiation Reduction Exposure

Maria Grazia Andreassi

JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE (2023)

Article Cardiac & Cardiovascular Systems

Influence of Chromosome 9p21.3 rs1333049 Variant on Telomere Length and Their Interactive Impact on the Prognosis of Coronary Artery Disease

Andrea Borghini, Antonella Mercuri, Jonica Campolo, Marina Parolini, Rudina Ndreu, Stefano Turchi, Maria Grazia Andreassi

Summary: A strong relationship between Chr9p21 rs1333049 variant and LTL was identified, and they interactively affect the risk of poor prognosis in CAD patients.

JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE (2023)

Article Biochemistry & Molecular Biology

Clinical and Biological Predictors of Cancer Incidence and Mortality in Patients with Stable Coronary Artery Disease

Jonica Campolo, Andrea Borghini, Marina Parolini, Antonella Mercuri, Stefano Turchi, Maria Grazia Andreassi

Summary: Clinical and epidemiological evidence suggests a link between coronary artery disease (CAD) and cancer. This study aimed to identify risk factors and biomarkers that could predict cancer incidence and death in CAD patients. The study found that age, smoking, obesity, and systemic inflammatory indexes were associated with cancer incidence, while age was a predictor of cancer death. Lung and gastrointestinal cancer patients had higher levels of a specific biomarker. The study suggests that reducing risk factors and suppressing chronic inflammation may help prevent cancer in CAD patients.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Health Care Sciences & Services

Pulmonary Function and Psychological Burden Three Months after COVID-19: Proposal of a Comprehensive Multidimensional Assessment Protocol

Guido Vagheggini, Francesca Marzetti, Mario Miniati, Lorenzo Bernardeschi, Mario Miccoli, Giulia Boni Brivio, Simone Meini, Eugenia Panait, Elena Cini, Angelo Gemignani

Summary: This study assessed the impairment at three months in patients who recovered from COVID-19. The findings revealed that a considerable proportion of patients experienced psychological distress, impaired respiratory gas exchange capacity, and worsened quality of life even after recovery.

HEALTHCARE (2022)

Article Psychology, Multidisciplinary

Randomized Trial on the Effects of a Mindfulness Intervention on Temperament, Anxiety, and Depression: A Multi-Arm Psychometric Study

Andrea Poli, Angelo Giovanni Icro Maremmani, Angelo Gemignani, Mario Miccoli

Summary: Mindfulness, achieved through meditation, has been shown to improve attentional functions and emotional well-being. This study aimed to assess the effectiveness of a mindfulness program in reducing anxiety and depression in primary school students. The program successfully lowered anxiety levels and led to changes in temperament characteristics.

BEHAVIORAL SCIENCES (2022)

No Data Available