Feasibility of Using Magnetic Resonance Spectroscopy Test Biomarkers to Diagnose Alzheimer's Disease: Systematic Evaluation and Meta-Analysis.

BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia, resulting in impairments in memory, cognition, decision-making, and social skills. Thus, accurate preclinical diagnosis of Alzheimer's disease is paramount. The identification of biomarkers for Alzheimer's disease through magnetic resonance spectroscopy (MRS) represents a novel adjunctive diagnostic approach. OBJECTIVE: This study conducted a meta-analysis of the diagnostic results of this technology to explore its feasibility and accuracy. METHODS: PubMed, Cochrane Library, EMBASE, and Web of Science databases were searched without restrictions, with the search period extending up to July 31, 2022. The search strategy employed a combination of subject headings and keywords. All retrieved documents underwent screening by two researchers, who selected them for meta-analysis. The included literature was analyzed using Review Manager 5.4 software, with corresponding bias maps, forest plots, and summary receiver operating characteristic (SROC) curves generated and analyzed. RESULTS: A total of 344 articles were retrieved initially, with 11 articles meeting the criteria for inclusion in the analysis. The analysis encompassed data from approximately 1766 patients. In the forest plot, both sensitivity (95% CI) and specificity (95% CI) approached 1. Examining the true positive rate, false positive rate, true negative rate, and false negative rate, all studies on the summary receiver operating characteristic (SROC) curve clustered in the upper left quadrant, suggesting a very high accuracy of biomarkers detected by MRS for diagnosing Alzheimer's disease. CONCLUSION: The detection of biomarkers by MRS demonstrates feasibility and high accuracy in diagnosing AD. This technology holds promise for widespread adoption in the clinical diagnosis of AD in the future.

Feasibility of Using Magnetic Resonance Spectroscopy Test Biomarkers to Diagnose Alzheimer's Disease: Systematic Evaluation and Meta-Analysis

Background: Alzheimer's disease (AD) is the leading cause of dementia, resulting in impairments in memory, cognition, decision-making, and social skills. Thus, accurate preclinical diagnosis of Alzheimer's disease is paramount. The identification of biomarkers for Alzheimer's disease through magnetic resonance spectroscopy (MRS) represents a novel adjunctive diagnostic approach.Objective: This study conducted a meta-analysis of the diagnostic results of this technology to explore its feasibility and accuracy.Methods: PubMed, Cochrane Library, EMBASE, and Web of Science databases were searched without restrictions, with the search period extending up to July 31, 2022. The search strategy employed a combination of subject headings and keywords. All retrieved documents underwent screening by two researchers, who selected them for meta-analysis. The included literature was analyzed using Review Manager 5.4 software, with corresponding bias maps, forest plots, and summary receiver operating characteristic (SROC) curves generated and analyzed.Results: A total of 344 articles were retrieved initially, with 11 articles meeting the criteria for inclusion in the analysis. The analysis encompassed data from approximately 1766 patients. In the forest plot, both sensitivity (95% CI) and specificity (95% CI) approached 1. Examining the true positive rate, false positive rate, true negative rate, and false negative rate, all studies on the summary receiver operating characteristic (SROC) curve clustered in the upper left quadrant, suggesting a very high accuracy of biomarkers detected by MRS for diagnosing Alzheimer's disease.Conclusion: The detection of biomarkers by MRS demonstrates feasibility and high accuracy in diagnosing AD. This technology holds promise for widespread adoption in the clinical diagnosis of AD in the future. (AU)

[Impact of atrial fibrillation on clinical outcome in patients with acute ischemic stroke undergoing thrombolytic therapy].

OBJECTIVE: To investigate the impact of atrial fibrillation (AF) on clinical outcomes in patients with acute ischemic stroke undergoing thrombolytic therapy. METHODS: The clinical data of 330 patients with acute ischemic stroke who received intravenous recombinant tissue plasminogen activator (rt-PA) therapy in the Second Affiliated Hospital, Zhejiang University School of Medicine between June 2009 and August 2013 were reviewed. Clinical outcomes in AF and non-AF groups were evaluated by univariate and multivariate analysis. Favorable outcome was defined as a modified Rankin Scale (mRS) 0-2 on day 90. Hemorrhagic transformation (HT) was classified as hemorrhagic infarction (HI) and parenchymal hematoma (PH) within the first 24h according to ECASS II criteria. Hypoperfusion and severe hypoperfusion were defined as Tmax >6 s and >8 s, respectively. The rate of reperfusion was compared between AF and non-AF groups. RESULTS: Among 330 patients, 137(41.5%) had AF. Compared with non-AF patients, patients with AF were older [(71.7±11.5)y vs (63.4±13.2)y, P<0.001], had higher baseline National Institutes of Health Stroke Scale [IQR, 13(8-16) vs 9(5-15), P<0.001], higher rate of HT(HI: 28.5% vs 17.1%, P=0.015; PH: 13.9% vs 4.1%, P=0.002), and lower rate of favorable outcome (41.5% vs 58.0%, P=0.005) at d 90. After adjustment, AF was not a risk factor for favorable outcome (OR=0.920, 95%CI:0.533-1.586; P=0.763) and mortality (OR=1.381, 95%CI:1.096-1.242; P=0.466) on day 90. AF was also not associated with HI (OR=1.676, 95%CI: 0.972-3.031; P=0.088), but it increased the rate of PH (OR=3.621, 95%CI: 1.403-9.344; P=0.008). Among 94 patients with pre- and post-thrombolytic perfusion-weighted image, AF was not associated with increased rate of reperfusion for hypoperfusion (Tmax >6 s, OR=1.12, 95%CI: 0.35-3.63, P=0.849), but was correlated with increased rate of reperfusion for severe hypoperfusion (Tmax>8 s, OR=10.57, 95%CI:1.16-96.50, P=0.037). CONCLUSION: The presence of AF has no independent impact on neurological outcome in thrombolytic patients with acute ischemic stroke. It is associated with increased reperfusion rate of more severe hypoperfusion area and higher frequency of PH.

[Risk factors of hemorrhagic transformation in different locations and its relation to clinical outcomes of patients with acute ischemic stroke following intravenous thrombolysis].

OBJECTIVE: To investigate the risk factors of hemorrhagic transformation (HT) in different cerebral regions and to explore its relation to clinical outcomes of patients with acute ischemic stroke after intravenous thrombolysis therapy. METHODS: The clinical, laboratory, and radiological data of 292 consecutive acute ischemic stroke patients undergoing intravenous thrombolysis therapy in Second Affiliated Hospital, Zhejiang University School of Medicine from June 2009 to May 2013 was retrospectively analyzed. Deep HT was defined as HT located in basal ganglia, internal capsule, external capsule and thalamus, otherwise the lesion was defined as non-deep HT. Patients were divided into 3 groups [Deep HT(n=47), non-deep HT(n=82), non HT(n=8)] and the differences in clinical and demographic characteristics were compared by using one-way analysis of variance and Ξ2-test. Multivariable logistic regression models were used to determine the independent risk factors of HT in different cerebral regions and clinical outcomes. RESULTS: Age, baseline National Institutes of Health Stroke Scale (NIHSS) score, baseline systolic blood pressure and the frequency of atrial fibrillation were different among three groups. Logistic regression analysis revealed that baseline NIHSS score (OR=1.126, 95%CI:1.063-1.193, P<0.001) and baseline systolic blood pressure (OR=0.982, 95%CI:0.967-0.998, P=0.020) were independent risk factors of deep HT. Multivariate analysis also found that deep HT was an independent predictor of functional outcome after thrombolysis (OR=0.291, 95%CI:0.133-0.640, P=0.002). CONCLUSION: Baseline NIHSS score and systolic blood pressure are predictors for deep hemorrhagic transformation, which indicates the poor functional outcome of patients with acute ischemic stroke following thrombolytic therapy.

Can't see the (bamboo) forest for the trees: examining bamboo's fit within international forestry institutions.

Over the centuries, governments and international agencies have developed a wide range of institutions to manage timber resources and conserve values provided by treed lands. Concerns regarding the sustainable supply of timber have provided opportunities for the development of substitute resources; however, bamboo and other non-timber forest resources have not been a part of the development of these institutions. Bamboo is a unique Non-Timber Forest Product, as it is often classified as forest or timber, and therefore must adhere to the same regulations as timber. Given the recent global expansion of bamboo, it is timely to examine the interplay between bamboo and the traditional institutions of forest governance. This paper aims to contribute to debates regarding cognitive institutional constraints on the development of substitute natural resources using bamboo as a case study, with specific focus on the applicability of Forest Stewardship Council certification, timber legality verification and Reducing Emissions from Deforestation and Forest Degradation to bamboos.