Irene Cappadona

Dr. Irene Cappadona

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 October 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
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AAANNA ANSELMO
ANNA ANSELMO
MPMaria Pagano
Maria Pagano
ICIrene Cappadona
Irene Cappadona
DCDavide Cardile
Davide Cardile
Fabrizio RussoFabrizio Russo
Fabrizio Russo
FCFrancesco Corallo
Francesco Corallo
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.

1 August 2023 in Children
Verified
Journal Article
Open access
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ICIrene Cappadona
Irene Cappadona
AIAugusto Ielo
Augusto Ielo
MFMargherita La Fauci
Margherita La Fauci
MTMaria Tresoldi
Maria Tresoldi
CSCarmela Settimo
Carmela Settimo
FCFrancesca Cucinotta
Francesca Cucinotta
Language disorders are characterized by impairments in verbal expression/understanding, including difficulties with one or more language components. The Virtual Reality Rehabilitation System (VRRS) is a bioelectromedical device equipped with exercise sections aimed at improving cognitive and language deficits. It also increases patient motivation and engagement. The aim of our study was to test the feasibility and efficacy of VRRS intervention to improve speech therapy treatment for children with speech disorders. Thirty-two patients were enrolled in this study and randomly assigned to the experimental (EG) or control group (CG). The CG underwent conventional speech therapy, while EG underwent VRRS-implemented speech therapy. Both groups were evaluated before (T0) and after (T1) the intervention using the Language Assessment Test. The results showed improvements in both groups. However, the EG group showed greater improvement in various areas, including comprehension of total words, repetition, naming of body parts, naming of everyday objects, total naming, morphosyntactic accuracy, sentence construction, average length of utterance, and spontaneous word production. This study demonstrated that VRRS can be a valuable tool for implementing effective speech rehabilitation. Further studies are needed, as the use of VRRS is still in its early stages, requiring larger samples sizes and long-term follow-up.

26 June 2024 in Healthcare
Verified
Journal Article
Open access
PDF file
MPMaria Pagano
Maria Pagano
FCFrancesco Corallo
Francesco Corallo
AAANNA ANSELMO
ANNA ANSELMO
FGFabio Mauro Giambò
Fabio Mauro Giambò
GMGiuseppe Micali
Giuseppe Micali
ICIrene Cappadona
Irene Cappadona
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.

10 July 2024 in Healthcare
Verified
Journal Article
Open access
PDF file
GMGiuseppe Micali
Giuseppe Micali
FCFrancesco Corallo
Francesco Corallo
MPMaria Pagano
Maria Pagano
FGFabio Mauro Giambò
Fabio Mauro Giambò
ADAntonio Duca
Antonio Duca
ICIrene Cappadona
Irene Cappadona
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.

1 August 2024 in Brain Sciences
Verified
Journal Article
Open access
PDF file
DCDavide Cardile
Davide Cardile
ACAndrea Calderone
Andrea Calderone
MPMaria Pagano
Maria Pagano
ICIrene Cappadona
Irene Cappadona
CRCarmela Rifici
Carmela Rifici
Rocco Salvatore Salvatore CalabròRocco Salvatore Salvatore Calabrò
Rocco Salvatore Salvatore Calabrò
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.

ICIrene Cappadona
Irene Cappadona
FCFrancesco Corallo
Francesco Corallo
DCDavide Cardile
Davide Cardile
AIAugusto Ielo
Augusto Ielo
PBPlacido Bramanti
Placido Bramanti
Maria Cristina De ColaMaria Cristina De Cola
Maria Cristina De Cola
Introduction: A clinical audit is a tool that allows the evaluation of and improvement in the quality of stroke care processes. Fast, high-quality care and preventive interventions can reduce the negative impact of stroke. Objective: This review was conducted on studies investigating the effectiveness of clinical audits to improve the quality of stroke rehabilitation and stroke prevention. Method: We reviewed clinical trials involving stroke patients. Our search was performed on PubMed databases, Web of Science, and Cochrane library databases. Of the 2543 initial studies, 10 studies met the inclusion criteria. Results: Studies showed that an audit brought an improvement in rehabilitation processes when it included a team of experts, an active training phase with facilitators, and short-term feedback. In contrast, studies looking at an audit in stroke prevention showed contradictory results. Conclusions: A clinical audit highlights any deviations from clinical best practices in order to identify the causes of inefficient procedures so that changes can be implemented to improve the care system. In the rehabilitation phase, the audit is effective for improving the quality of care processes.