Experiences of People with Cardiovascular Disease during COVID-19 in Sweden: A Qualitative Study

Although people with cardiovascular conditions were subjected to more rigorous restrictions during the COVID-19 pandemic, there is limited knowledge of how the restrictions affected their lives and well-being. Thus, the aim of this study was to describe how people with cardiovascular conditions experienced their life situation and physical and mental health during the second wave of the pandemic in Sweden. Fifteen participants (median age 69 years; nine women) were individually interviewed, and data were analyzed with systematic text condensation. The findings revealed that some of the participants were fearful of contracting COVID-19 as their medical condition made them vulnerable. Additionally, the restrictions changed their daily routines and their ability to take part in social activities, as well as their access to specialized outpatient care (medical check-ups and physiotherapy). Although emotional and psychological distress were present, several participants found strategies that reduced their worries, such as exercising and meeting friends outdoors. However, some had adopted a more sedentary lifestyle and unhealthy diets. These findings indicate that healthcare professionals should provide individualized support to persons with cardiovascular diseases in order to find well-functioning emotion- and problem-focused strategies aimed at improving physical and mental health during crises such as pandemics.

Implications of Hypothalamic Neural Stem Cells on Aging and Obesity-Associated Cardiovascular Diseases

The hypothalamus, one of the major regulatory centers in the brain, controls various homeostatic processes, and hypothalamic neural stem cells (htNSCs) have been observed to interfere with hypothalamic mechanisms regulating aging. NSCs play a pivotal role in the repair and regeneration of brain cells during neurodegenerative diseases and rejuvenate the brain tissue microenvironment. The hypothalamus was recently observed to be involved in neuroinflammation mediated by cellular senescence. Cellular senescence, or systemic aging, is characterized by a progressive irreversible state of cell cycle arrest that causes physiological dysregulation in the body and it is evident in many neuroinflammatory conditions, including obesity. Upregulation of neuroinflammation and oxidative stress due to senescence has the potential to alter the functioning of NSCs. Various studies have substantiated the chances of obesity inducing accelerated aging. Therefore, it is essential to explore the potential effects of htNSC dysregulation in obesity and underlying pathways to develop strategies to address obesity-induced comorbidities associated with brain aging. This review will summarize hypothalamic neurogenesis associated with obesity and prospective NSC-based regenerative therapy for the treatment of obesity-induced cardiovascular conditions.

Failure of Guidelines and Consensus Statements to Recommend Follow-up for Chronic Cardiovascular Conditions

BACKGROUND

Many cardiac conditions require long-term clinical follow-up to monitor progression of disease and tolerance and adherence to therapies. Providers are often unsure as to the frequency of clinical follow-up and who should provide the follow-up. In the absence of formal guidance, patients may be seen more frequently than necessary - thereby limiting clinic space for other patients, or not frequently enough, potentially leading to undetected progression of disease.

OBJECTIVES

To determine the extent to which guidelines (GL)/consensus statements (CS) provide guidance about appropriate follow-up for common cardiovascular conditions.

METHODS

We identified 31 chronic cardiovascular disease conditions for which long-term (beyond 1 year) follow-up is indicated and used PubMed and professional society websites to identify all relevant GL/CS (n = 33) regarding these chronic cardiac conditions.

RESULTS

Of the 31 cardiac conditions reviewed, GL/CS contained no recommendation or vague recommendation for long-term follow-up for 7 of the conditions. Of the 24 conditions with recommendations for follow-up, 3 had recommendations for imaging follow-up only without mention of clinical follow-up. Of the 33 GL/CS reviewed, 17 made any recommendations about long-term follow-up. When recommendations were made regarding follow-up, they were often vague, using terminology such as "as needed".

CONCLUSIONS

Half of GL/CS fail to provide recommendations for clinical follow-up of common cardiovascular conditions. Writing groups for GL/CS should adopt a standard of routinely including recommendations for follow-up including specific advice about level of expertise needed (eg, primary care physician, cardiologist), need for imaging or testing, and frequency of follow-up.

Supporting Real World Decision Making in Coronary Diseases Using Machine Learning

Cardiovascular diseases are one of the leading global causes of death. Following the positive experiences with machine learning in medicine we performed a study in which we assessed how machine learning can support decision making regarding coronary artery diseases. While a plethora of studies reported high accuracy rates of machine learning algorithms (MLA) in medical applications, the majority of the studies used the cleansed medical data bases without the presence of the “real world noise.” Contrary, the aim of our study was to perform machine learning on the routinely collected Anonymous Cardiovascular Database (ACD), extracted directly from a hospital information system of the University Medical Centre Maribor). Many studies used tens of different machine learning approaches with substantially varying results regarding accuracy (ACU), hence they were not usable as a base to validate the results of our study. Thus, we decided, that our study will be performed in the 2 phases. During the first phase we trained the different MLAs on a comparable University of California Irvine UCI Heart Disease Dataset. The aim of this phase was first to define the “standard” ACU values and second to reduce the set of all MLAs to the most appropriate candidates to be used on the ACD, during the second phase. Seven MLAs were selected and the standard ACUs for the 2-class diagnosis were 0.85. Surprisingly, the same MLAs achieved the ACUs around 0.96 on the ACD. A general comparison of both databases revealed that different machine learning algorithms performance differ significantly. The accuracy on the ACD reached the highest levels using decision trees and neural networks while Liner regression and AdaBoost performed best in UCI database. This might indicate that decision trees based algorithms and neural networks are better in coping with real world not “noise free” clinical data and could successfully support decision making concerned with coronary diseasesmachine learning.

Pre-Existing Cardiovascular Conditions as Clinical Predictors of Myocarditis Reporting with Immune Checkpoint Inhibitors: A VigiBase Study

Simple Summary

Up to 50% of myocarditis events developed in cancer patients upon treatment with immune checkpoint inhibitors (ICIs) are fatal. Therefore, identification of clinical risk factors predicting myocarditis onset during treatment with ICIs is important for the purpose of cardiac surveillance of high-risk patients. The aim of this retrospective matched case-control study was to assess whether pre-existing cardiovascular conditions were associated with the reporting of myocarditis with ICIs in VigiBase, the World Health Organization global database of suspected adverse drug reactions. Taking drugs labelled for the treatment of cardiovascular conditions as a proxy for concomitant cardiovascular risk factors and/or cardiovascular diseases, we found an association of moderate size between pre-existing cardiovascular conditions and the reporting of myocarditis with ICIs. Future prospective pharmacoepidemiological studies should assess the causal relationship between pre-existing cardiovascular conditions and myocarditis onset in a cohort of cancer patients followed during treatment with ICIs.

Abstract

Although rare, immune checkpoint inhibitor (ICI)-related myocarditis can be life-threatening, even fatal. In view of increased ICI prescription, identification of clinical risk factors for ICI-related myocarditis is of primary importance. This study aimed to assess whether pre-existing cardiovascular (CV) patient conditions are associated with the reporting of ICI-related myocarditis in VigiBase, the WHO global database of suspected adverse drug reactions (ADRs). In a (retrospective) matched case-control study, 108 cases of ICI-related myocarditis and 108 controls of ICI-related ADRs other than myocarditis were selected from VigiBase. Drugs labeled as treatment for CV conditions (used as a proxy for concomitant CV risk factors and/or CV diseases) were found to be associated more strongly with the reporting of ICI-related myocarditis than with other ICI-related ADRs (McNemar’s chi-square test of marginal homogeneity: p = 0.026, Cramer’s coefficient of effect size: Φ = 0.214). No significant association was found between pre-existing diabetes and ICI-related myocarditis reporting (McNemar’s test of marginal homogeneity: p = 0.752). These findings offer an invitation for future prospective pharmacoepidemiological studies to assess the causal relationship between pre-existing CV conditions and myocarditis onset in a cohort of cancer patients followed during ICI treatment.

Thirty years of translational research in Mobility Medicine: Collection of abstracts of the 2020 Padua Muscle Days

More than half a century of skeletal muscle research is continuing at Padua University (Italy) under the auspices of the Interdepartmental Research Centre of Myology (CIR-Myo), the European Journal of Translational Myology (EJTM) and recently also with the support of the A&CM-C Foundation for Translational Myology, Padova, Italy. The Volume 30(1), 2020 of the EJTM opens with the collection of abstracts for the conference "2020 Padua Muscle Days: Mobility Medicine 30 years of Translational Research". This is an international conference that will be held between March 18-21, 2020 in Euganei Hills and Padova in Italy. The abstracts are excellent examples of translational research and of the multidimensional approaches that are needed to classify and manage (in both the acute and chronic phases) diseases of Mobility that span from neurologic, metabolic and traumatic syndromes to the biological process of aging. One of the typical aim of Physical Medicine and Rehabilitation is indeed to reduce pain and increase mobility enough to enable impaired persons to walk freely, garden, and drive again. The excellent contents of this Collection of Abstracts reflect the high scientific caliber of researchers and clinicians who are eager to present their results at the PaduaMuscleDays. A series of EJTM Communications will also add to this preliminary evidence.

Impact of comorbidities by age on symptom presentation for suspected acute coronary syndromes in the emergency department

BACKGROUND

It is estimated half of acute coronary syndrome (ACS) patients have one or more associated comorbid conditions.

AIMS

Aims were to: 1) examine the prevalence of comorbid conditions in patients presenting to the emergency department with symptoms suggestive of ACS; 2) determine if comorbid conditions influence ACS symptoms; and 3) determine if comorbid conditions predict the likelihood of receiving an ACS diagnosis.

METHODS

A total of 1064 patients admitted to five emergency departments were enrolled in this prospective study. Symptoms were measured on presentation to the emergency department. The Charlson Comorbidity Index (CCI) was used to evaluate group differences in comorbidity burden across demographic traits, risk factors, clinical presentation, and diagnosis.

RESULTS

The most prominent comorbid conditions were prior myocardial infarction, diabetes without target organ damage, and chronic lung disease. In younger ACS patients, higher CCI predicted less chest pain, chest discomfort, unusual fatigue and a lower number of symptoms. In older ACS patients, higher CCI predicted more chest discomfort, upper back pain, abrupt symptom onset, and greater symptom distress. For younger non-ACS patients, higher CCI predicted less chest pain and symptom distress. Higher CCI was associated with a greater likelihood of receiving an ACS diagnosis for younger but not older patients with suspected ACS.

CONCLUSIONS

Younger patients with ACS and higher number of comorbidities report less chest pain, putting them at higher risk for delayed diagnosis and treatment since chest pain is a hallmark symptom for ACS.

Impact of cardiovascular complications among patients with Type 2 diabetes mellitus: a systematic review

Macrovascular and microvascular complications that accompany Type 2 diabetes mellitus (T2DM) add to the burden among patients. The purpose of this systematic review is to conduct a comprehensive search of the medical literature investigating the prevalence of cardiovascular (CV) complications and assess their impact on healthcare costs, quality of life and mortality among patients with T2DM in the context of microvascular complications. A total of 76 studies and reports were used in this systematic review. Hypertension was the most prevalent complication among patients with T2DM. The additional cost burden due to CV complications was higher than any other complication except end-stage renal disease. Quality of life was much lower among patients with CV complications and T2DM, and mortality was higher than either illness alone.

Mechanisms in cardiovascular diseases: how useful are medical textbooks, eMedicine, and YouTube?

The aim of this study was to assess the contents of medical textbooks, eMedicine (Medscape) topics, and YouTube videos on cardiovascular mechanisms. Medical textbooks, eMedicine articles, and YouTube were searched for cardiovascular mechanisms. Using appraisal forms, copies of these resources and videos were evaluated independently by three assessors. Most textbooks were brief in explaining mechanisms. Although the overall average percentage committed to cardiovascular mechanisms in physiology textbooks (n=7) was 16.1% and pathology textbooks (n=4) was 17.5%, there was less emphasis on mechanisms in most internal medicine textbooks (n=6), with a total average of 6.9%. In addition, flow diagrams explaining mechanisms were lacking. However, eMedicine topics (n=48) discussed mechanisms adequately in 22.9% (11 of 48) topics, and the percentage of content allocated to cardiovascular mechanisms was higher (15.8%, 46.2 of 292) compared with that of any internal medicine textbooks. Only 29 YouTube videos fulfilled the inclusion criteria. Of these, 16 YouTube were educationally useful, scoring 14.1 ± 0.5 (mean ± SD). The remaining 13 videos were not educationally useful, scoring 6.1 ± 1.7. The concordance between the assessors on applying the criteria measured by κ score was in the range of 0.55–0.96. In conclusion, despite the importance of mechanisms, most textbooks and You-Tube videos were deficient in cardiovascular mechanisms. eMedicine topics discussed cardiovascular mechanisms for some diseases, but there were no flow diagrams or multimedia explaining mechanisms. These deficiencies in learning resources could add to the challenges faced by students in understanding cardiovascular mechanisms.

Clinical patterns of obstructive sleep apnea and its comorbid conditions: a data mining approach

OBJECTIVES

Obstructive sleep apnea often results in a wide range of comorbid conditions. Although some conditions have been clearly identified as comorbid, a full clinical pattern of associated diseases has not been systematically documented. This research aimed to reveal the full pattern of comorbid conditions associated with OSA by employing a data mining technique.

METHODS

A large data repository (the New South Wales inpatient Data Collection) collected between 1999 and 2004 was mined, and all clinical diagnoses were coded with ICD-10-AM codes.

RESULTS

A total of 60,197 cases (4% of total records) were identified as related to OSA (72.2% males, 27.8% females). OSA occurrence showed 2 peaks at 0-4 years and 55-59 years. A strikingly low occurrence was observed for the adolescent years. Conditions comorbid with OSA in adults by descending frequency were essential hypertension, obesity, hypercholesterolemia, type 2 diabetes, past or current tobacco use, and ischemic heart conditions. Obesity and OSA showed a similar time course of onset, with a latent period of 5 years for hypertension and type 2 diabetes and 15 years for chronic ischemic heart conditions. Comorbid conditions were predominantly of the cardiovascular, endocrine/metabolic and respiratory systems. The data also indicated OSA patients are high users of health services.

CONCLUSIONS

The data mining technique confirms the prevalence of the disease, describes the age distribution patterns and time courses of disease development from obesity and OSAto comorbid conditions, and implicates possible interrelationships among these conditions and high cost of treating OSA patients.