Co-designing an interactive artificial intelligent system with post-stroke patients and caregivers to augment the lost abilities and improve their quality of life: a human-centric approach.

Objectives: The motor disability due to stroke compromises the autonomy of patients and caregivers. To support autonomy and other personal and social needs, trustworthy, multifunctional, adaptive, and interactive assistive devices represent optimal solutions. To fulfill this aim, an artificial intelligence system named MAIA would aim to interpret users' intentions and translate them into actions performed by assistive devices. Analyzing their perspectives is essential to develop the MAIA system operating in harmony with patients' and caregivers' needs as much as possible. Methods: Post-stroke patients and caregivers were interviewed to explore the impact of motor disability on their lives, previous experiences with assistive technologies, opinions, and attitudes about MAIA and their needs. Interview transcripts were analyzed using inductive thematic analysis. Results: Sixteen interviews were conducted with 12 post-stroke patients and four caregivers. Three themes emerged: (1) Needs to be satisfied, (2) MAIA technology acceptance, and (3) Perceived trustfulness. Overall, patients are seeking rehabilitative technology, contrary to caregivers needing assistive technology to help them daily. An easy-to-use and ergonomic technology is preferable. However, a few participants trust a system based on artificial intelligence. Conclusion: An interactive artificial intelligence technology could help post-stroke patients and their caregivers to restore motor autonomy. The insights from participants to develop the system depends on their motor ability and the role of patients or caregiver. Although technology grows exponentially, more efforts are needed to strengthen people's trust in advanced technology.

[Is it time to implement Cardiac Arrest Centers in Italy? The integrated experience in the decade 2009-2019 between metropolitan area and Maggiore Hospital of Bologna]. / È il momento per implementare i Centri per l'Arresto Cardiaco in Italia? L'esperienza integrata nel decennio 2009-2019 tra area metropolitana ed Ospedale Maggiore di Bologna.

Cardiac arrest (CA) is the third cause of death in Europe. This paper highlights the various treatments for the prevention and early management of CA and provides an overview of available evidence on the CA center concept. The experience of Maggiore Hospital of Bologna, Italy over the last 11 years is also outlined along with the treatments applied to patients with CA and their impact on improving outcomes. The new concept of the "Systems Saving Lives" approach is presented as a potential way for implementing Italian healthcare systems involved in the management of CA patients. Finally, the future perspective of implementation of CA centers in Italy is also described encouraging the healthcare professionals involved in the treatment of CA patients to consider a multidisciplinary approach (including a cardiologist, emergency physician, neurologist, physiatrist, radiologist, and intensivist).

Peripheral Inflammatory Markers and Antioxidant Response during the Post-Acute and Chronic Phase after Severe Traumatic Brain Injury.

Traumatic brain injury (TBI) is a mechanical insult to the brain caused by external forces and associated with inflammation and oxidative stress. The patients may show different profiles of neurological recovery and a combination of oxidative damage and inflammatory processes can affect their courses. It is known that an overexpression of cytokines can be seen in peripheral blood in the early hours/days after the injury, but little is known about the weeks and months encompassing the post-acute and chronic phases. In addition, no information is available about the antioxidant responses mediated by the major enzymes that regulate reactive oxygen species levels: superoxide dismutase, catalase, peroxidases, and GSH-related enzymes. This study investigates the 6-month trends of inflammatory markers and antioxidant responses in 22 severe TBI patients with prolonged disorders of consciousness, consecutively recruited in a dedicated neurorehabilitation facility. Patients with a high degree of neurological impairment often show an uncertain outcome. In addition, the profiles of plasma activities were related to the neurological recovery after 12 months. Venous peripheral blood samples were taken blindly as soon as clinical signs and laboratory markers confirmed the absence of infections, 3 and 6 months later. The clinical and neuropsychological assessment continued up to 12 months. Nineteen patients completed the follow-up. In the chronic phase, persistent high plasma levels of cytokines can interfere with cognitive functioning and higher post-acute levels of cytokines [interferon (IFN)-γ, tumor necrosis factor (TNF)-α, IL1b, IL6] are associated with poorer cognitive recoveries 12 months later. Moreover, higher IFN-γ, higher TNF-α, and lower glutathione peroxidase activity are associated with greater disability. The results add evidence of persistent inflammatory response, provide information about long-term imbalance of antioxidant activity, and suggest that the over-production of cytokines and the alteration of the redox homeostasis in the post-acute phase might adversely affect the neurological and functional recovery. Inflammatory and antioxidant activity markers might offer a feasible way to highlight some of the processes opposing recovery after a severe TBI.

A feasibility study of an improved procedure for using EEG to detect brain responses to imagery instruction in patients with disorders of consciousness.

One of the major concerns of recent studies is the correct discrimination between vegetative and minimally conscious state as the distinction between these two conditions has major implications for subsequent patient rehabilitation. In particular, it would be advantageous to establish communication with these patients. This work describes a procedure using EEG to detect brain responses to imagery instruction in patients with disorders of consciousness. Five healthy subjects and five patients with different disorders of consciousness took part in the study. A support vector machine classifier applied to EEG data was used to distinguish two mental tasks (Imagery Trial) and to detect answers to simple yes or no questions (pre-Communication Trial). The proposed procedure uses feature selection based on a nested-leave-one-out algorithm to reduce the number of electrodes required. We obtained a mean classification accuracy of 82.0% (SD 5.1%) for healthy subjects and 84.6% (SD 9.1%) for patients in the Imagery Trial, and a mean classification accuracy of 80.7% (SD 11.5%) for healthy subjects and 91.7% (SD 7.4%) for patients in the pre-Communication Trial. The subset of electrodes selected was subject and session dependent.

Late recovery from post-traumatic vegetative state.

AIM: Late recovery of consciousness after 12 months in vegetative state is very rare and is almost invariably associated with severe disability. The aim of this study was to report that late recovery with moderate disability is possible, even after several months in vegetative state. CASE REPORT: This study describes the case of a 22-year-old male student who recovered consciousness from vegetative state 19 months after a traumatic brain injury which had occurred in December 2000. A further slow recovery of motor and cognitive functions up to a moderate disability was observed over 7 years after the brain injury. The patient now lives in the community, speaks, walks and undertakes daily living as well as outdoor leisure activities independently, has resumed his previous university studies and has a part-time non-competitive job. CONCLUSIONS: This case demonstrates that attaining a condition of independent living is possible even after more than 1 year of post-traumatic vegetative state, with an improvement of motor and cognitive functions that can continue for years. Cranioplasty and long-term rehabilitation programmes may be among the variables potentially influencing this unexpected recovery.