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Sensors (Basel, Switzerland) Mar 2024The global aging population faces significant health challenges, including an increasing vulnerability to disability due to natural aging processes. Wearable lower limb... (Review)
Review
The global aging population faces significant health challenges, including an increasing vulnerability to disability due to natural aging processes. Wearable lower limb exoskeletons (LLEs) have emerged as a promising solution to enhance physical function in older individuals. This systematic review synthesizes the use of LLEs in alignment with the WHO's healthy aging vision, examining their impact on intrinsic capacities and functional abilities. We conducted a comprehensive literature search in six databases, yielding 36 relevant articles covering older adults (65+) with various health conditions, including sarcopenia, stroke, Parkinson's Disease, osteoarthritis, and more. The interventions, spanning one to forty sessions, utilized a range of LLE technologies such as Ekso, HAL, Stride Management Assist, Honda Walking Assist, Lokomat, Walkbot, Healbot, Keeogo Rehab, EX1, overground wearable exoskeletons, Eksoband, powered ankle-foot orthoses, HAL lumbar type, Human Body Posturizer, Gait Enhancing and Motivation System, soft robotic suits, and active pelvis orthoses. The findings revealed substantial positive outcomes across diverse health conditions. LLE training led to improvements in key performance indicators, such as the 10 Meter Walk Test, Five Times Sit-to-Stand test, Timed Up and Go test, and more. Additionally, enhancements were observed in gait quality, joint mobility, muscle strength, and balance. These improvements were accompanied by reductions in sedentary behavior, pain perception, muscle exertion, and metabolic cost while walking. While longer intervention durations can aid in the rehabilitation of intrinsic capacities, even the instantaneous augmentation of functional abilities can be observed in a single session. In summary, this review demonstrates consistent and significant enhancements in critical parameters across a broad spectrum of health conditions following LLE interventions in older adults. These findings underscore the potential of LLE in promoting healthy aging and enhancing the well-being of older adults.
Topics: Humans; Aged; Exoskeleton Device; Healthy Aging; Postural Balance; Time and Motion Studies; World Health Organization
PubMed: 38610440
DOI: 10.3390/s24072230 -
Journal of Clinical Medicine Feb 2024Indication to perform surgical explantation of TAVR is becoming increasingly more frequent, due to the higher number of transcatheter procedures performed in patients... (Review)
Review
Indication to perform surgical explantation of TAVR is becoming increasingly more frequent, due to the higher number of transcatheter procedures performed in patients with longer life expectancy. We proposed to perform a systematic review and meta-analysis with metaregression to identify potential factors that can determine an increase in the high mortality and morbidity that characterize these surgical procedures. MEDLINE and Embase were searched for relevant studies. Twelve studies were eligible according to our inclusion criteria. TAVR explantation was confirmed as a procedure with high 30-day mortality (0.17; 95% CI, 0.14-0.21) and morbidity (stroke incidence 5%; 95% CI, 0.04-0.07; kidney injury incidence 16%; 95% CI, 0.11-0.24). The type of transcatheter valve implanted during the index procedure did not influence the outcomes after surgical explantation. The role of these high-risk operations is growing, and it will likely expand in the coming years. Specific tools for risk stratification are required.
PubMed: 38592075
DOI: 10.3390/jcm13051262 -
Nutrition Research and Practice Apr 2024Mushroom consumption, rich in diverse nutrients and bioactive compounds, is suggested as a potential significant contributor to preventing cardiometabolic diseases... (Review)
Review
BACKGROUND/OBJECTIVES
Mushroom consumption, rich in diverse nutrients and bioactive compounds, is suggested as a potential significant contributor to preventing cardiometabolic diseases (CMDs). This systematic review aimed to explore the association between mushrooms and cardiometabolic health outcomes, utilizing data from prospective cohort studies and clinical trials focusing on the general population, with mushrooms themselves as a major exposure.
SUBJECTS/METHODS
All original articles, published in English until July 2023, were identified through searches on PubMed, Ovid-Embase, and google scholar. Of 1,328 studies, we finally selected 5 prospective cohort studies and 4 clinical trials.
RESULTS
Existing research is limited, typically consisting of 1 to 2 studies for each CMD and cardiometabolic condition. Examination of articles revealed suggestive associations in some cardiometabolic conditions including blood glucose (both fasting and postprandial), high-density lipoprotein cholesterol related indices, high-sensitivity C-reactive protein, and obesity indices (body weight, body mass index, and waist circumference). However, mushroom consumption showed no association with the mortality and morbidity of cardiovascular diseases, stroke, and type 2 diabetes, although there was a potentially beneficial connection with all cause-mortality, hyperuricemia, and metabolic syndrome.
CONCLUSION
Due to the scarcity of available studies, drawing definitive conclusions is premature. Further comprehensive investigations are needed to clarify the precise nature and extent of this relationship before making conclusive recommendations for the general population.
PubMed: 38584813
DOI: 10.4162/nrp.2024.18.2.165 -
PloS One 2024Health state utility values (HSUV) for Type 2 diabetes mellitus (T2DM) complications are useful in economic evaluations to determine cost effectiveness of an...
INTRODUCTION
Health state utility values (HSUV) for Type 2 diabetes mellitus (T2DM) complications are useful in economic evaluations to determine cost effectiveness of an intervention. However, there is a lack of reference ranges for different severity and stages of individual complications. This study aimed to provide an overview of HSUV decrement ranges for common T2DM complications focusing on different severity and stages of complications.
METHOD
A systematic search was conducted in MEDLINE, SCOPUS, WEB OF SCIENCE. (Jan 2000 to April 2022). Included studies for HSUV estimates were from outpatient setting, regardless of treatment types, complication stages, regions and HRQoL instruments. Health Related Quality of Life (HRQoL) outcomes was to be presented as HSUV decrement values, adjusted according to social demographics and comorbidities. Adjusted HSUV decrements were extracted and compiled according to individual complications. After which, subsequently grouped into mild or severe category for comparison.
RESULTS
Searches identified 35 studies. The size of the study population ranged from 160 to 14,826. The HSUV decrement range was widest for cerebrovascular disease (stroke): -0.0060 to -0.0780 for mild stroke and -0.035 to -0.266 for severe stroke; retinopathy: mild (-0.005 to -0.0862), moderate (-0.0030 to -0.1845) and severe retinopathy (-0.023 to -0.2434); amputation: (-0.1050 to -0.2880). Different nature of complication severity defined in studies could be categorized into: those with acute nature, chronic with lasting effects, those with symptoms at early stage or those with repetitive frequency or episodes.
DISCUSSION
Overview of HSUV decrement ranges across different stages of each T2DM diabetes-related complications shows that chronic complications with lasting impact such as amputation, severe stroke with sequelae and severe retinopathy with blindness were generally associated with larger HSUV decrement range. Considerable heterogeneities exist across the studies. Promoting standardized complication definitions and identifying the most influential health state stages on HSUV decrements may assist researchers for future cost-effectiveness studies.
Topics: Humans; Diabetes Mellitus, Type 2; Quality of Life; Diabetes Complications; Stroke; Retinal Diseases
PubMed: 38574169
DOI: 10.1371/journal.pone.0297589 -
Journal of Clinical Medicine Mar 2024: The prevalence of neurological disorders is increasing worldwide. In recent decades, the conventional rehabilitation for people with neurological disorders has been... (Review)
Review
: The prevalence of neurological disorders is increasing worldwide. In recent decades, the conventional rehabilitation for people with neurological disorders has been often reinforced with the use of technological devices (robots and virtual reality). The aim of this systematic review was to identify the evidence on the economic cost of rehabilitation with robotic and virtual reality devices for people with neurological disorders through a review of the scientific publications over the last 15 years. : A systematic review was conducted on partial economic evaluations (cost description, cost analysis, description of costs and results) and complete (cost minimization, cost-effectiveness, cost utility and cost benefit) studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The main data sources used were PubMed, Scopus and Web of Science (WOS). Studies published in English over the last 15 years were considered for inclusion in this review, regardless of the type of neurological disorder. The critical appraisal instrument from the Joanna Briggs Institute for economic evaluation and the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) were used to analyse the methodological quality of all the included papers. : A total of 15 studies were included in this review. Ten papers were focused on robotics and five on virtual reality. Most of the studies were focused on people who experienced a stroke. The robotic device most frequently used in the papers included was InMotion (Bionik Co., Watertown, MA, USA), and for those focused on virtual reality, all papers included used semi-immersive virtual reality systems, with commercial video game consoles (Nintendo Wii (Nintendo Co., Ltd., Kyoto, Japan) and Kinect (Microsoft Inc., Redmond, WA, USA)) being used the most. The included studies mainly presented cost minimization outcomes and a general description of costs per intervention, and there were disparities in terms of population, setting, device, protocol and the economic cost outcomes evaluated. Overall, the methodological quality of the included studies was of a moderate level. : There is controversy about using robotics in people with neurological disorders in a rehabilitation context in terms of cost minimization, cost-effectiveness, cost utility and cost benefits. Semi-immersive virtual reality devices could involve savings (mainly derived from the low prices of the systems analysed and transportation services if they are applied through telerehabilitation programmes) compared to in-clinic interventions.
PubMed: 38541755
DOI: 10.3390/jcm13061531 -
Journal of Integrative Neuroscience Mar 2024Single-nucleotide polymorphisms (SNPs) in the proprotein convertase subtilisin/kexin type 9 () gene are known to be associated with susceptibility to several... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Single-nucleotide polymorphisms (SNPs) in the proprotein convertase subtilisin/kexin type 9 () gene are known to be associated with susceptibility to several cerebrovascular diseases, including ischemic stroke (IS). The aims of this study was to evaluate associations between gene polymorphisms and the risk of IS. Based on previous reports linking PCSK9 SNPs to plasma lipid levels and to atherosclerosis, and to inconsistencies in the reported associations between the SNPs, plasma lipid levels and IS risk, we choose the rs505151, rs529787, and rs17111503 to performe the association analysis.
METHODS
Using multiple databases, all relevant case-control and cohort studies that matched our search criteria were collected. Quality assessment of included studies was performed using the Newcastle-Ottawa Scale. Demographic and genotype data were extracted from each study, and meta-analysis was performed using Stata/MP 17.0. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using fixed and random effects models.
RESULTS
A critical evaluation was conducted on ten case-control studies, involving a total of 2426 cases and 2424 controls. Pooled results from the allelic models indicated the rs505151 G allele (OR: 1.41, 95% CI: 1.06-1.87, = 0.019, I2 = 53.9%) and the rs17111503 A allele (OR: 1.38, 95% CI: 1.22-1.55, < 0.001, I2 = 43.5%) were significantly associated with IS. Study qualities ranged from moderate (n = 4) to good (n = 6). Begg's and Egger's tests results indicated there was no evidence of publication bias in the findings ( > 0.05).
CONCLUSIONS
This meta-analysis demonstrated that G allele variant of rs505151 and A allele variant of rs17111503 were associated with an increased risk of IS. Based on our findings, these SNPs could serve as potential targets for the diagnosis and treatment of IS. The integration of information on genetic polymorphism into IS risk prediction model may be beneficial in routine clinical practice.
Topics: Humans; Ischemic Stroke; Lipids; Polymorphism, Single Nucleotide; Proprotein Convertase 9
PubMed: 38538222
DOI: 10.31083/j.jin2303062 -
Journal of Neuroengineering and... Mar 2024The visual system and associated skills are of particular importance in stroke rehabilitation. The process of neuroplasticity involved in restoring cognitive function... (Meta-Analysis)
Meta-Analysis Review
The visual system and associated skills are of particular importance in stroke rehabilitation. The process of neuroplasticity involved in restoring cognitive function during this period is mainly based on anatomical and physiological mechanisms. However, there is little evidence-based knowledge about the effects of visual skills training that could be used to improve therapeutic outcomes in cognitive rehabilitation. A computerized systematic literature search was conducted in the PubMed, Medline, and Web of Science databases from 1 January 1960 to 11 Febuary 2024. 1,787 articles were identified, of which 24 articles were used for the calculation of weighted standardized mean differences (SMD) after screening and eligibility verification. The findings revealed moderate effects for global cognitive function (SMD = 0.62) and activities of daily living (SMD = 0.55) as well as small effects for executive function (SMD = 0.20) - all in favor of the intervention group. The analyses indicate that the results may not be entirely robust, and should therefore be treated with caution when applied in practice. Visual skills training shows positive effects in improving cognitive and executive functions, especially in combination with high cognitive load and in an early phase of rehabilitation. An improvement in activities of daily living can also be observed with this type of intervention. The high heterogeneity of the studies and different treatment conditions require the identification of a relationship between certain visual skills and executive functions in future research.
Topics: Humans; Executive Function; Activities of Daily Living; Stroke; Cognition; Stroke Rehabilitation
PubMed: 38532485
DOI: 10.1186/s12984-024-01338-5 -
Health Technology Assessment... Mar 2024Artificial intelligence-derived software technologies have been developed that are intended to facilitate the review of computed tomography brain scans in patients with...
Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis.
BACKGROUND
Artificial intelligence-derived software technologies have been developed that are intended to facilitate the review of computed tomography brain scans in patients with suspected stroke.
OBJECTIVES
To evaluate the clinical and cost-effectiveness of using artificial intelligence-derived software to support review of computed tomography brain scans in acute stroke in the National Health Service setting.
METHODS
Twenty-five databases were searched to July 2021. The review process included measures to minimise error and bias. Results were summarised by research question, artificial intelligence-derived software technology and study type. The health economic analysis focused on the addition of artificial intelligence-derived software-assisted review of computed tomography angiography brain scans for guiding mechanical thrombectomy treatment decisions for people with an ischaemic stroke. The de novo model (developed in R Shiny, R Foundation for Statistical Computing, Vienna, Austria) consisted of a decision tree (short-term) and a state transition model (long-term) to calculate the mean expected costs and quality-adjusted life-years for people with ischaemic stroke and suspected large-vessel occlusion comparing artificial intelligence-derived software-assisted review to usual care.
RESULTS
A total of 22 studies (30 publications) were included in the review; 18/22 studies concerned artificial intelligence-derived software for the interpretation of computed tomography angiography to detect large-vessel occlusion. No study evaluated an artificial intelligence-derived software technology used as specified in the inclusion criteria for this assessment. For artificial intelligence-derived software technology alone, sensitivity and specificity estimates for proximal anterior circulation large-vessel occlusion were 95.4% (95% confidence interval 92.7% to 97.1%) and 79.4% (95% confidence interval 75.8% to 82.6%) for Rapid (iSchemaView, Menlo Park, CA, USA) computed tomography angiography, 91.2% (95% confidence interval 77.0% to 97.0%) and 85.0 (95% confidence interval 64.0% to 94.8%) for Viz LVO (Viz.ai, Inc., San Fransisco, VA, USA) large-vessel occlusion, 83.8% (95% confidence interval 77.3% to 88.7%) and 95.7% (95% confidence interval 91.0% to 98.0%) for Brainomix (Brainomix Ltd, Oxford, UK) e-computed tomography angiography and 98.1% (95% confidence interval 94.5% to 99.3%) and 98.2% (95% confidence interval 95.5% to 99.3%) for Avicenna CINA (Avicenna AI, La Ciotat, France) large-vessel occlusion, based on one study each. These studies were not considered appropriate to inform cost-effectiveness modelling but formed the basis by which the accuracy of artificial intelligence plus human reader could be elicited by expert opinion. Probabilistic analyses based on the expert elicitation to inform the sensitivity of the diagnostic pathway indicated that the addition of artificial intelligence to detect large-vessel occlusion is potentially more effective (quality-adjusted life-year gain of 0.003), more costly (increased costs of £8.61) and cost-effective for willingness-to-pay thresholds of £3380 per quality-adjusted life-year and higher.
LIMITATIONS AND CONCLUSIONS
The available evidence is not suitable to determine the clinical effectiveness of using artificial intelligence-derived software to support the review of computed tomography brain scans in acute stroke. The economic analyses did not provide evidence to prefer the artificial intelligence-derived software strategy over current clinical practice. However, results indicated that if the addition of artificial intelligence-derived software-assisted review for guiding mechanical thrombectomy treatment decisions increased the sensitivity of the diagnostic pathway (i.e. reduced the proportion of undetected large-vessel occlusions), this may be considered cost-effective.
FUTURE WORK
Large, preferably multicentre, studies are needed (for all artificial intelligence-derived software technologies) that evaluate these technologies as they would be implemented in clinical practice.
STUDY REGISTRATION
This study is registered as PROSPERO CRD42021269609.
FUNDING
This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR133836) and is published in full in ; Vol. 28, No. 11. See the NIHR Funding and Awards website for further award information.
Topics: Humans; Artificial Intelligence; Stroke; Cost-Effectiveness Analysis; Brain Ischemia; State Medicine; Algorithms; Software; Ischemic Stroke; Brain
PubMed: 38512017
DOI: 10.3310/RDPA1487 -
Medicine Mar 2024Liraglutide widely utilized in type 2 diabetes treatment, has elicited conflicting findings regarding its impact on cardiac function in patients with this condition.... (Meta-Analysis)
Meta-Analysis
Effect of liraglutide on cardiac function in patients with type 2 diabetes mellitus: A systematic review and meta-analysis of double-blind, randomized, placebo-controlled trials.
BACKGROUND
Liraglutide widely utilized in type 2 diabetes treatment, has elicited conflicting findings regarding its impact on cardiac function in patients with this condition. Therefore, The objective of this study was to conduct a meta-analysis of randomized controlled trials (RCTs) to evaluate the effects of liraglutide on cardiac function in patients diagnosed with type 2 diabetes.
METHODS
We identified double-blind randomized trials assessing the effects of liraglutide compared to placebo on cardiac function in patients with type 2 diabetes. Data were synthesized with the fixed-effect models to generate standard mean differences (SMDs) with 95% confidence intervals (CIs) of each outcome for liraglutide versus placebo. The risk of bias would be assessed according to the Cochrane Risk of Bias Tool, while meta-analysis would be conducted using Revman 5.3.0 software. The evidence was graded based on the Grading of Recommendations Assessment, Development and Evaluation approach.
RESULTS
The meta-analysis encompassed 5 RCTs including 220 participants. Results revealed that liraglutide exhibited significant enhancements in left ventricular ejection fraction [SMD = -0.38, 95%CI(-0.70, -0.06), P = .02], cardiac index [SMD = -1.05, 95%CI(-1.52, -0.59), P < .0001], stroke volume [SMD = -0.67, 95%CI(-1.02, -0.32), P = .0002] and early diastolic filling velocity/late atrial filling velocity ratio [SMD = -0.52, 95%CI(-0.82, -0.22), P = .0006]. However, no statistically significant impact on cardiac output [SMD = -0.20, 95%CI(-0.53, 0.14), P = .26], early diastolic filling velocity/early diastolic annular velocity (E/Ea) ratio [SMD = -0.34, 95%CI(-0.75, 0.06), P = .10] and early diastolic filling velocity/early diastolic mitral annular velocity ratio [SMD = 0.21, 95%CI(-0.15, 0.56), P = .25] was observed. The Grading of Recommendations Assessment, Development and Evaluation evidence quality ratings indicated that all the outcome measures included in this study were evaluated as having low and very low quality.
CONCLUSION
The available evidence suggested that liraglutide may exert a favorable impact on cardiac function in patients with type 2 diabetes. Consequently, the utilization of liraglutide as a preventive measure against heart failure incidents in individuals with type 2 diabetes represents a promising strategy. However, robust evidence support requires the conduct of large-scale, multicenter high-quality RCTs.
Topics: Humans; Liraglutide; Diabetes Mellitus, Type 2; Ventricular Function, Left; Stroke Volume; Heart Failure; Randomized Controlled Trials as Topic; Multicenter Studies as Topic
PubMed: 38489694
DOI: 10.1097/MD.0000000000037432 -
Journal of Alzheimer's Disease : JAD 2024The growing number of older adults in recent decades has led to more prevalent geriatric diseases, such as strokes and dementia. Therefore, Alzheimer's disease (AD), as...
BACKGROUND
The growing number of older adults in recent decades has led to more prevalent geriatric diseases, such as strokes and dementia. Therefore, Alzheimer's disease (AD), as the most common type of dementia, has become more frequent too.
BACKGROUND
Objective: The goals of this work are to present state-of-the-art studies focused on the automatic diagnosis and prognosis of AD and its early stages, mainly mild cognitive impairment, and predicting how the research on this topic may change in the future.
METHODS
Articles found in the existing literature needed to fulfill several selection criteria. Among others, their classification methods were based on artificial neural networks (ANNs), including deep learning, and data not from brain signals or neuroimaging techniques were used. Considering our selection criteria, 42 articles published in the last decade were finally selected.
RESULTS
The most medically significant results are shown. Similar quantities of articles based on shallow and deep ANNs were found. Recurrent neural networks and transformers were common with speech or in longitudinal studies. Convolutional neural networks (CNNs) were popular with gait or combined with others in modular approaches. Above one third of the cross-sectional studies utilized multimodal data. Non-public datasets were frequently used in cross-sectional studies, whereas the opposite in longitudinal ones. The most popular databases were indicated, which will be helpful for future researchers in this field.
CONCLUSIONS
The introduction of CNNs in the last decade and their superb results with neuroimaging data did not negatively affect the usage of other modalities. In fact, new ones emerged.
Topics: Humans; Aged; Alzheimer Disease; Cross-Sectional Studies; Neuroimaging; Prognosis; Biomarkers; Cognitive Dysfunction; Early Diagnosis; Magnetic Resonance Imaging
PubMed: 38489188
DOI: 10.3233/JAD-231271