Systematic review and meta-analysis of fenestrated or branched devices after previous open surgical aortic aneurysm repair

OBJECTIVE

Despite open surgical repair (OSR) of abdominal aortic aneurysms being considered as a durable solution, disease progression and para-anastomotic aneurysms may require further repair, and fenestrated and branched endovascular aneurysm repair (F/BEVAR) may be applied to address these pathologies. The aim of this systematic review was to assess technical success, mortality, and morbidity (acute kidney injury, spinal cord ischemia) at 30 days, and mortality and reintervention rates during the available follow-up, in patients managed with F/BEVAR after previous OSR.

METHODS

The PRISMA statement was followed, and the study was pre-registered to the PROSPERO (CRD42022363214). The English literature was searched, via Ovid, using MEDLINE, EMBASE, and CENTRAL databases, through November 30, 2022. Observational studies and case series with ≥5 patients (2000-2022), reporting on F/BEVAR outcomes after OSR, were considered eligible. The Newcastle-Ottawa Scale and GRADE were used to assess the risk of bias and quality of evidence. The primary outcome was technical success, mortality, and morbidity at 30 days. Data on the outcomes of interest were synthesized using proportional meta-analysis.

RESULTS

The initial search yielded 1694 articles. Eight retrospective studies (476 patients) were considered eligible. In 78.3% of cases, disease progression set the indication for reintervention. Technical success was estimated at 96% (95% confidence interval [CI], 89%-98%; I2 = 0%; 95% prediction interval [PI], 79%-99%). Thirty-day mortality was 2% (95% CI, 1%-9%; I2 = 0%; 95% PI, 0%-28%). The estimated spinal cord ischemia and acute kidney injury rates were 3% (95% CI, 1%-9%; I2 = 0%; 95% PI, 0%-30%) and 6% (95% CI, 2%-15%; I2 = 0%; 95% PI, 1%-40%), respectively. During follow-up, overall mortality was 5% (95% CI, 2%-12%; I2 = 34%; 95% PI, 0%-45%) and aorta-related mortality was 1% (95% CI, 0%-2%; I2 = 0%; 95% PI, 0%-3%). The rate of reinterventions was 16% (95% CI, 9%-26%; I2 = 22%; 95% PI, 3%-50%).

CONCLUSIONS

According to the available literature, F/BEVAR after OSR may be performed with high technical success and low mortality and morbidity during the perioperative period. Follow-up aortic-related mortality was 1%, whereas the reintervention rates were within the standard range following F/BEVAR.

Non-invasive Detection of Bowel Sounds in Real-life Settings Using Spectrogram Zeros and Autoencoding

Gastrointestinal (GI) diseases are amongst the most painful and dangerous clinical cases, due to inefficient recognition of symptoms and thus, lack of early-diagnostic tools. The analysis of bowel sounds (BS) has been fundamental for GI diseases, however their long-term recordings require technical and clinical resources along with the patientt's motionless concurrence throughout the auscultation procedure. In this study, an end-to-end non-invasive solution is proposed to detect BS in real-life settings utilizing a smart-belt apparatus along with advanced signal processing and deep neural network algorithms. Thus, high rate of BS identification and separation from other domestic and urban sounds have been achieved over the realization of an experiment where BS recordings were collected and analyzed out of 10 student volunteers.

Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson's Disease

Human-Computer Interaction (HCI) and games set a new domain in understanding people's motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the context of HCI serious games (HCI-SGs). When the latter relate with people's health status, they can become a part of their daily life as assistive health status monitoring/enhancement systems. Co-designing HCI-SGs can be seen as a combination of art and science that involves a meticulous collaborative process. The design elements in assistive HCI-SGs for Parkinson's Disease (PD) patients, in particular, are explored in the present work. Within this context, the Game-Based Learning (GBL) design framework is adopted here and its main game-design parameters are explored for the Exergames, Dietarygames, Emotional games, Handwriting games, and Voice games design, drawn from the PD-related i-PROGNOSIS Personalized Game Suite (PGS) (www.i-prognosis.eu) holistic approach. Two main data sources were involved in the study. In particular, the first one includes qualitative data from semi-structured interviews, involving 10 PD patients and four clinicians in the co-creation process of the game design, whereas the second one relates with data from an online questionnaire addressed by 104 participants spanning the whole related spectrum, i.e., PD patients, physicians, software/game developers. Linear regression analysis was employed to identify an adapted GBL framework with the most significant game-design parameters, which efficiently predict the transferability of the PGS beneficial effect to real-life, addressing functional PD symptoms. The findings of this work can assist HCI-SG designers for designing PD-related HCI-SGs, as the most significant game-design factors were identified, in terms of adding value to the role of HCI-SGs in increasing PD patients' quality of life, optimizing the interaction with personalized HCI-SGs and, hence, fostering a collaborative human-computer symbiosis.