BACKGROUND: Data regarding the performance of a DCB-only approach, especially in patients with previously untreated de-novo coronary artery disease (CAD), are still limited.
METHODS: This study was conducted as an international, multicenter registry primarily enrolling patients with de-novo CAD. However, it was also possible to include patients with in-stent restenosis (ISR). The primary endpoint was the rate of clinically driven target lesion revascularization (TLR) after 9 months.
RESULTS: A total of 1,025 patients with a mean age of 64.0 ± 11.2 years were enrolled. The majority of treated lesions were de-novo (66.9%), followed by drug-eluting-stent ISR (DES-ISR; 22.6%) and bare-metal-stent ISR (BMS-ISR; 10.5%). The TLR rate was lower in the de-novo group (2.3%) when compared to BMS- (2.9%) and DES-ISR (5.8%) (P = 0.049). Regarding MACE, there was a trend toward fewer events in the de-novo group (5.6%) than in the BMS- (7.8%) and DES-ISR cohort (9.6%) (P = 0.131). Subgroup analyses revealed that lesion type (95% CI 1.127-6.587); P = 0.026) and additional stent implantation (95% CI 0.054-0.464; P = 0.001) were associated with higher TLR rates.
CONCLUSIONS: Our results show that DCB-only angioplasty of de-novo coronary lesions is associated with low MACE and TLR rates. Thus, DCBs appear to be an attractive alternative for the interventional, stentless treatment of suitable de-novo coronary lesions.
OBJECTIVE: This study aims to determine the background of recent studies on wheelchair control based on BCI for disability and map the literature survey into a coherent taxonomy. The study intends to identify the most important aspects in this emerging field as an impetus for using BCI for disability in electric-powered wheelchair (EPW) control, which remains a challenge. The study also attempts to provide recommendations for solving other existing limitations and challenges.
METHODS: We systematically searched all articles about EPW control based on BCI for disability in three popular databases: ScienceDirect, IEEE and Web of Science. These databases contain numerous articles that considerably influenced this field and cover most of the relevant theoretical and technical issues.
RESULTS: We selected 100 articles on the basis of our inclusion and exclusion criteria. A large set of articles (55) discussed on developing real-time wheelchair control systems based on BCI for disability signals. Another set of articles (25) focused on analysing BCI for disability signals for wheelchair control. The third set of articles (14) considered the simulation of wheelchair control based on BCI for disability signals. Four articles designed a framework for wheelchair control based on BCI for disability signals. Finally, one article reviewed concerns regarding wheelchair control based on BCI for disability signals.
DISCUSSION: Since 2007, researchers have pursued the possibility of using BCI for disability in EPW control through different approaches. Regardless of type, articles have focused on addressing limitations that impede the full efficiency of BCI for disability and recommended solutions for these limitations.
CONCLUSIONS: Studies on wheelchair control based on BCI for disability considerably influence society due to the large number of people with disability. Therefore, we aim to provide researchers and developers with a clear understanding of this platform and highlight the challenges and gaps in the current and future studies.
FINDINGS AND CONCLUSIONS: Stroke recovery involves adapting to new limitations and discovering the support necessary to live life. These changes are influenced by a range of environmental factors. Healthcare professionals need to support stroke patients in identifying challenges and work to find innovative ways to address them. Stroke survivors may benefit from the use of an assistive device beyond its clinical function to participate purposefully in activities of daily living. Implications for Rehabilitation Stroke is a cause of disability that limits everyday activities and reduces social participation. Assistive devices help achieve independence, social inclusion and shape stroke recovery. Individuals with disabilities in low and middle income countries often do not have access to assistive devices and resort to innovative solutions that are purpose built. Stroke recovery involves adapting to new limitations and discovering the support necessary to live life as best as possible.