Background and objective: Low back pain (LBP) is most common pain syndrome in Europe, affecting approximately 50% of European citizens. LBP is a complex condition that negatively affects many aspects of an individual’s life such as work productivity, mobility, and mental health. The aim of this study is to assess the impact of pain associated with chronic LBP on patients’ quality of life. Methods: Clinical studies reviewed in our search with no time restrictions were identified from PubMed, Web of Science, Scopus, and Cochrane Library databases. Of the initial 1929 studies, only 15 met inclusion criteria. Results: Results of our study indicate that chronic pain has a negative impact on numerous functions and areas in which the individual is involved and that this condition leads to reduced performance. Conclusions: LBP is a debilitating condition for patients, negatively affecting quality of life. Future studies should focus on validating a standardized assessment that examines all aspects affected by LBP through a customized questionnaire.

Heart failure (HF) is a growing epidemic, affecting millions of people worldwide, and is a major cause of mortality, morbidity, and impaired quality of life. Traditional cardiac rehabilitation is a valuable approach to the physical and quality-of-life recovery of patients with cardiovascular disease. The innovative approach of remote monitoring through telemedicine offers a solution based on modern technologies, enabling continuous collection of health data outside the hospital environment. Remote monitoring devices present challenges that could adversely affect patient adherence, resulting in the risk of dropout. By applying a cognitive-behavioral model, we aim to identify the antecedents of dropout behavior among patients adhering to traditional cardiac rehabilitation programs and remote monitoring in order to improve the latter. Our study was conducted from October 2023 to January 2024. In the first stage, we used data from literature consultation. Subsequently, data were collected from the direct experience of 49 health workers related to both remote monitoring and traditional treatment, recruited from the authors’ workplace. Results indicate that patients with cardiovascular disease tend to abandon remote monitoring programs more frequently than traditional cardiac rehabilitation therapies. It is critical to design approaches that take these barriers into account to improve adherence and patient satisfaction. This analysis identified specific antecedents to address, helping to improve current monitoring models. This is crucial to promote care continuity and to achieve self-management by patients in the future.

Cardiovascular and neurological diseases are a major cause of mortality and morbidity worldwide. Such diseases require careful monitoring to effectively manage their progression. Artificial intelligence (AI) offers valuable tools for this purpose through its ability to analyse data and identify predictive patterns. This review evaluated the application of AI in cardiac and neurological diseases for their clinical impact on the general population. We reviewed studies on the application of AI in the neurological and cardiological fields. Our search was performed on the PubMed, Web of Science, Embase and Cochrane library databases. Of the initial 5862 studies, 23 studies met the inclusion criteria. The studies showed that the most commonly used algorithms in these clinical fields are Random Forest and Artificial Neural Network, followed by logistic regression and Support-Vector Machines. In addition, an ECG-AI algorithm based on convolutional neural networks has been developed and has been widely used in several studies for the detection of atrial fibrillation with good accuracy. AI has great potential to support physicians in interpretation, diagnosis, risk assessment and disease management.

In recent years, there has been marked interest in looking at the psychological consequences of medical conditions, such as traumatic or acquired brain injuries. Coping strategies are essential for clinical recovery and for dealing with the stressful events that a clinical condition brings with it. The purpose of this review is to analyze studies that explore how coping strategies influence psychological changes in patients with acquired brain injury. Studies were identified from research in the PubMed, Scopus, and Embase databases. According to our findings, patients with ABI utilize different coping strategies based on the circumstances and factors such as the diagnosis severity, their age, time lived with the pathology, and personal characteristics, which have an influence on quality of life and rehabilitation. This review demonstrated that coping strategies have an impact on different aspects of the clinical and personal lives of patients with ABI. The rehabilitation process must consider the influence of these mechanisms on dealing with situations, as they can change cognitive and emotional perceptions of patients’ experience with the disease, as well as laying the foundations for functional or dysfunction in terms of the propensity of a person for the path of psychological and physical recovery.

Introduction: Apraxia is a neurological disorder that is common after a stroke and impairs the planning and execution of movements. In the rehabilitation field, virtual reality (VR) presents new opportunities and offers advantages to both rehabilitation teams and individuals with neurological conditions. Indeed, VR can stimulate and improve cognitive reserve and abilities, including executive function, and enhance the patient’s emotional status. Aim: The objective of this research is to determine the effectiveness of VR in improving praxis skills and behavioural functioning in individuals with severe stroke. Methods: A total of 20 stroke patients were enrolled from February 2022 to March 2023 and divided by the order of their recruitment into two groups: the experimental group (EG: n = 10) received training to improve their praxis skills using VR whereas the control one (CG: n = 10) received the same amount of standard training. All patients underwent an evaluation using a psychometric battery that consisted of the Hamilton Rating Scale for Depression (HRS-D), Mini-Mental State Examination (MMSE), Frontal Assessment Battery (FAB), Spinnler and Tognoni test, and De Renzi and Faglioni test. Valuations were performed before rehabilitation (T0) and after its completion (T1). Results: Both groups demonstrated significant improvements post-intervention. The EG showed a greater enhancement in their MMSE scores (p = 0.002), and reductions in both ideomotor and constructive apraxia (p = 0.002 for both), compared to the CG. The VR-based training also resulted in significant improvements in their depression symptoms (HRSD scores improved, p = 0.012 in EG vs. p = 0.021 in CG). Conclusions: This pilot study suggests that VR could help reduce cognitive, constructive apraxia and ideomotor apraxia symptoms caused by stroke injury.