Predictors of 30-day mortality among patients with stroke admitted at a tertiary teaching hospital in Northwestern Tanzania: A prospective cohort study

30-day in-hospital stroke case fatality and significant risk factors in sub-Saharan-Africa: A systematic review and meta-analysis

Existing studies investigating 30-day in-hospital stroke case fatality rates in sub-Saharan Africa have produced varying results, underscoring the significance of obtaining precise and reliable estimations for this indicator. Consequently, this study aimed to conduct a systematic review and update of the current scientific evidence regarding 30-day in-hospital stroke case fatality and associated risk factors in sub-Saharan Africa. Medline/PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), APA PsycNet (encompassing PsycINFO and PsychArticle), Google Scholar, and Africa Journal Online (AJOL) were systematically searched to identify potentially relevant articles. Two independent assessors extracted the data from the eligible studies using a pre-tested and standardized excel spreadsheet. Outcomes were 30-day in-hospital stroke case fatality and associated risk factors. Data was pooled using random effects model. Ninety-three (93) studies involving 42,057 participants were included. The overall stroke case fatality rate was 27% [25%-29%]. Subgroup analysis revealed 24% [21%-28%], 25% [21%-28%], 29% [25%-32%] and 31% [20%-43%] stroke case fatality rates in East Africa, Southern Africa, West Africa, and Central Africa respectively. Stroke severity, stroke type, untyped stroke, and post-stroke complications were identified as risk factors. The most prevalent risk factors were low (<8) Glasgow Coma Scale score, high (≥10) National Institute Health Stroke Scale score, aspiration pneumonia, hemorrhagic stroke, brain edema/intra-cranial pressure, hyperglycemia, untyped stroke (stroke diagnosis not confirmed by neuroimaging), recurrent stroke and fever. The findings indicate that one in every four in-hospital people with stroke in sub-Saharan Africa dies within 30 days of admission. Importantly, the identified risk factors are mostly modifiable and preventable, highlighting the need for context-driven health policies, clinical guidelines, and treatments targeting these factors.

Exploring the efficacy of virtual reality-based rehabilitation in stroke: a narrative review of current evidence

BACKGROUND

Stroke rehabilitation presents a complex challenge, necessitating innovative approaches to optimise functional recovery. Virtual Reality-Based Rehabilitation (VRBR) has emerged as a promising intervention that capitalises on immersive technology to engage stroke survivors in their recovery journey. This review aims to examine the efficacy of VRBR in stroke rehabilitation, focusing on its advantages and challenges.

METHODS

A comprehensive search of relevant literature was conducted to gather evidence on the efficacy of VRBR in stroke survivors. Studies that investigated the impact of VRBR on patient engagement, functional recovery, and overall rehabilitation outcomes were included. The review also assessed the ability of VRBR to simulate real-life scenarios and facilitate essential daily activities for stroke survivors.

RESULTS

The review highlights that VRBR offers a unique immersive experience that enhances patient engagement and motivation during rehabilitation. The immersive nature of VRBR fosters a sense of presence, which can positively impact treatment adherence and outcomes. Moreover, VRBR's capacity to replicate real-world scenarios provides stroke survivors with opportunities to practice vital daily activities, promoting functional independence. In contrast, conventional rehabilitation methods lack the same level of engagement and real-world simulation.

CONCLUSION

VRBR holds promise as an efficacious intervention in stroke rehabilitation. Its immersive nature enhances patient engagement and motivation, potentially leading to better treatment adherence and outcomes. The ability of VRBR to simulate real-life scenarios offers a unique platform. However, challenges such as cost, equipment, patient suitability, data privacy, and acceptance must be addressed for successful integration into stroke rehabilitation practice.