The association between TLR2/4 and clinical outcome in intracerebral hemorrhage.

BACKGROUND AND PURPOSE: Toll-like receptors (TLRs) are involved in innate immunity and inflammatory responses in various diseases. Our study aimed to investigate the association between the levels of soluble TLR4 (sTLR4) and soluble TLR2 (sTLR2) and clinical outcomes following intracerebral hemorrhage (ICH). METHODS: Patients admitted to department of Neurology with acute ICH were included. Plasma levels of sTLR4 and sTLR2 after ICH were measured by enzyme-linked immunosorbent assay. Poor clinical outcome was defined as a modified Rankin score (mRS) of 3-6 at 3-month and 12-month after onset. RESULTS: All 207 patients with ICH and 100 non-stroke controls were included in our analysis. The mean sTLR4 level was 4.53±1.51 ng/ml and mean sTLR2 level was 3.65±0.72 ng/ml. There was significant trend towards worse clinical outcomes with increasing sTLR4 and sTLR2 terciles at 3 and 12 months. According to receiver operating curve (ROC), the sTLR4 was reliable predictor for poor clinical outcome at 3 months (ROC=0.75) and 12 months (ROC=0.74). The sTLR2 was less reliable predictor for poor clinical outcome at 3 months (ROC=0.64) and 12 months (ROC=0.65). The level of sTLR4 was an independent predictor of poor clinical outcome at 12-month (OR 1.24, 95 % CI 1.16-1.80; P=0.019). CONCLUSIONS: The sTLR4 quantification may provide accurate prognostic information after ICH.

Risk-dependent conditional survival analysis and annual hazard rate of inflammatory breast cancer.

PURPOSE: The real-time prognosis of patients with inflammatory breast cancer (IBC) after surviving for several years was unclear. We aimed to estimate survival over time in IBC using conditional survival (CS) and annual hazard functions. PATIENTS AND METHODS: This study recruited 679 patients diagnosed with IBC between 2010 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database. We used the Kaplan-Meier method to estimate overall survival (OS). CS was the probability of surviving for another y years after surviving for x years after the diagnosis, and the annual hazard rate was the cumulative mortality rate of follow-up patients. Cox regression analyses were used to identify prognostic factors, and changes in real-time survival and immediate mortality in surviving patients were assessed within these prognostic factors. RESULTS: CS analysis showed real-time improvement in survival, with 5-year OS updated annually from the initial 43.5% to 52.2%, 65.3%, 78.5%, and 89.0% (surviving 1-4 years, respectively). However, this improvement was relatively small in the first two years after diagnosis, and the smoothed annual hazard rate curve showed increasing mortality during this period. Cox regression identified seven unfavorable factors at diagnosis, but only distant metastases remained after five years of survival. Analysis of the annual hazard rate curves showed that mortality continued to decrease for most survivors, except for metastatic IBC. CONCLUSION: Real-time survival of IBC improved dynamically over time, and the magnitude of this improvement was non-linear, depending on survival time and clinicopathological characteristics.

A novel conditional survival nomogram for monitoring real-time prognosis of non-metastatic triple-negative breast cancer.

Background: Conditional survival (CS) is defined as the possibility of further survival after patients have survived for several years since diagnosis. This may be highly valuable for real-time prognostic monitoring, especially when considering individualized factors. Such prediction tools were lacking for non-metastatic triple-negative breast cancer (TNBC). Therefore, this study estimated CS and developed a novel CS-nomogram for real-time prediction of 10-year survival. Methods: We recruited 32,836 non-metastatic TNBC patients from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2019), who were divided into training and validation groups according to a 7:3 ratio. The Kaplan-Meier method estimated overall survival (OS), and the CS was calculated using the formula CS(y|x) =OS(y+x)/OS(x), where OS(x) and OS(y+x) were the survival of x- and (x+y)-years, respectively. The least absolute shrinkage and selection operator (LASSO) regression identified predictors to develop the CS-nomogram. Results: CS analysis reported gradual improvement in real-time survival over time since diagnosis, with 10-year OS updated annually from an initial 69.9% to 72.8%, 78.1%, 83.0%, 87.0%, 90.3%, 93.0%, 95.0%, 97.0%, and 98.9% (after 1-9 years of survival, respectively). The LASSO regression identified age, marriage, race, T status, N status, chemotherapy, surgery, and radiotherapy as predictors of CS-nomogram development. This model had a satisfactory predictive performance with a stable 10-year time-dependent area under the curves (AUCs) between 0.75 and 0.86. Conclusions: Survival of non-metastatic TNBC survivors improved dynamically and non-linearly with survival time. The study developed a CS-nomogram that provided more accurate prognostic data than traditional nomograms, aiding clinical decision-making and reducing patient anxiety.

The Effect of Meditation-Based Mind-Body Interventions on Symptoms and Executive Function in People With ADHD: A Meta-Analysis of Randomized Controlled Trials.

OBJECTIVE: This study aims to perform a systematic review and meta-analysis of the effect of MBIs (Mindfulness, Tai Chi, Yoga, and Qigong) on symptoms and executive function (EF) in ADHD. METHOD: PubMed, Web of Science, the Cochrane Library, PsycINFO, CINAHL, Embase, and CNKI databases were searched to collect randomized controlled trials (RCTs) on the effects of MBIs on symptoms and EF in ADHD. Data extraction and methodological quality evaluation were conducted by two researchers, and a meta-analysis was conducted by Stata SE. RESULTS: The pooled meta-analyses of MBIs revealed a positive and small effect on inattention (g = -0.26), hyperactivity/impulsivity (g = -0.19), and EF (g = -0.35). CONCLUSION: Results suggest that MBIs have a significant improvement relative to the control condition. Although some results show that symptoms are affected by age, interventions, and total time of moderators, while EF is not affected by age and measurement, it needs to be supported by more research evidence. (J. of Att. Dis. XXXX; XX(X) XX-XX).

Conditional survival nomogram predicting real-time prognosis of locally advanced breast cancer: Analysis of population-based cohort with external validation.

Background: Locally advanced breast cancer (LABC) is generally considered to have a relatively poor prognosis. However, with years of follow-up, what is its real-time survival and how to dynamically estimate an individualized prognosis? This study aimed to determine the conditional survival (CS) of LABC and develop a CS-nomogram to estimate overall survival (OS) in real-time. Methods: LABC patients were recruited from the Surveillance, Epidemiology, and End Results (SEER) database (training and validation groups, n = 32,493) and our institution (testing group, n = 119). The Kaplan-Meier method estimated OS and calculated the CS at year (x+y) after giving x years of survival according to the formula CS(y|x) = OS(y+x)/OS(x). y represented the number of years of continued survival under the condition that the patient was determined to have survived for x years. Cox regression, best subset regression, and the least absolute shrinkage and selection operator (LASSO) regression were used to screen predictors, respectively, to determine the best model to develop the CS-nomogram and its network version. Risk stratification was constructed based on this model. Results: CS analysis revealed a dynamic improvement in survival occurred with increasing follow-up time (7 year survival was adjusted from 63.0% at the time of initial diagnosis to 66.4, 72.0, 77.7, 83.5, 89.0, and 94.7% year by year [after surviving for 1-6 years, respectively]). In addition, this improvement was non-linear, with a relatively slow increase in the second year after diagnosis. The predictors identified were age, T and N status, grade, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER 2), surgery, radiotherapy and chemotherapy. A CS-nomogram developed by these predictors and the CS formula was used to predict OS in real-time. The model's concordance indexes (C-indexes) in the training, validation and testing groups were 0.761, 0.768 and 0.810, which were well-calibrated according to the reality. In addition, the web version was easy to use and risk stratification facilitated the identification of high-risk patients. Conclusions: The real-time prognosis of LABC improves dynamically and non-linearly over time, and the novel CS-nomogram can provide real-time and personalized prognostic information with satisfactory clinical utility.

Benefits of Tai Chi Quan on neurodegenerative diseases: A systematic review.

BACKGROUND: Neurodegenerative diseases have become an important concern with the accelerated aging process. Tai Chi Quan (TCQ) has positive benefits for brain health and chronic diseases. The aim of this study was to summarize the protective effects of TCQ for motor function, cognition, quality of life, and mood in patients with neurodegenerative diseases. METHODS: A systematic search was conducted via PubMed database and the Web of Science core collection database until August 20, 2021. The available English systematic reviews, meta-analyses, and clinical trials were included. Two reviewers completed the screening and assessment process independently. RESULTS: A total of 28 studies on Parkinson's disease, 21 on cognitive impairment, and 9 on multiple sclerosis met the included criteria. The study found that TCQ remarkably improved general motor function and balance, and prevented falls for Parkinson's disease. TCQ significantly improved global cognitive function for cognitive impairment. TCQ was likely safe and beneficial for multiple sclerosis as result of heterogeneous outcomes and small samples. CONCLUSION: TCQ exercise can effectively improve the motor function, global cognitive function, and falls in patients with neurodegenerative diseases. However, the positive effects of TCQ on the quality of life and mood of patients with neurodegenerative diseases need further evidence.

Presence of anti-nuclear antibody associated with worse clinical outcomes of anti-NMDAR encephalitis.

Purpose: Systemic autoantibodies are important for the diagnosis of autoimmune diseases, but their roles in anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis are unknown. The purpose of our study is to investigate the characteristics and a prognosis of anti-NMDAR encephalitis with the prevalence of autoantibodies. Methods: Systemic autoantibodies were evaluated in 64 patients with anti-NMDAR encephalitis and 14 patients with autoimmune encephalitis with other forms. Then, according to systemic autoantibodies, patients with anti-NMDAR encephalitis were divided into an anti-nuclear antibody (ANA) positive group and an ANA negative group. The clinical outcome was assessed by a modified Rankin score at 12 months after the disease onset. Results: A total of 64 patients with anti-NMDAR encephalitis were enrolled, of which 28.13% (18/64) were positive for ANA. The titers of a positive anti-NMDAR antibody in CSF (p = 0.041) and serum (p = 0.031) in the ANA-positive group were significantly higher than the ANA-negative group. Patients with ANA positive than those with ANA negative showed lower rates of headache (p = 0.047) and speech disorder (p = 0.049). The presence of ANA was associated with a worse clinical outcome at 12 months (p = 0.043). Conclusion: ANA was prevalent in patients with anti-NMDAR encephalitis, and associated with a worse prognosis and impaired neurological recovery.

Development of a nomogram for predicting grade 2 or higher acute hematologic toxicity of cervical cancer after the pelvic bone marrow sparing radiotherapy.

Background: Acute hematologic toxicity (HT) is a common complication during radiotherapy of cervical cancer which may lead to treatment delay or interruption. Despite the use of intensity-modulated radiation therapy (IMRT) with the pelvic bone marrow (PBM) sparing, some patients still suffer from acute HT. We aimed to identify predictors associated with HT and develop a nomogram for predicting grade 2 or higher (G2+) acute HT in cervical cancer following the PBM sparing strategy. Methods: This study retrospectively analyzed 125 patients with cervical cancer who underwent IMRT with the PBM sparing strategy at our institution. Univariate and multivariate logistic regression, best subset regression, and least absolute shrinkage and selection operator (LASSO) regression, respectively, were used for predictor screening, and Akaike information criterion (AIC) was used to determine the best model for developing the nomogram. Finally, we quantified the risk of G2+ acute HT based on this model to establish a risk stratification. Results: The independent predictors used to develop the nomogram were histological grade, pre-radiotherapy chemotherapy, pre-radiotherapy HT, and radiotherapy [IMRT alone vs. concurrent chemoradiotherapy (CCRT)] which were determined by the univariate and multivariate logistic regression with the minimum AIC of 125.49. Meanwhile, the heat map showed that there is no multicollinearity among the predictors. The nomogram was well-calibrated to reality, with a Brier score of 0.15. The AUC value was 0.82, and the median Brier score and AUC in 1000 five-fold cross-validation were 0.16 and 0.80, respectively. The web version developed together was very easy to use. The risk stratification indicated that high-risk patients (risk point > 195.67) were more likely to develop G2+ acute HT [odds ratio (OR) = 2.17, 95% confidence interval (CI): 1.30-3.05]. Conclusion: This nomogram well-predicted the risk of G2+ acute HT during IMRT in cervical cancer after the PBM sparing strategy, and the constructed risk stratification could assist physicians in screening high-risk patients and provide a useful reference for future prevention and treatment strategies for acute HT.

Development and Validation a Survival Prediction Model and a Risk Stratification for Elderly Locally Advanced Breast Cancer.

PURPOSE: we aimed to develop an individualized survival prediction model for elderly locally advanced breast cancer (LABC) and stratify its risk to assist in the treatment and follow-up of patients. METHODS: Elderly LABC data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The best model was screened using Cox, least absolute shrinkage and selection operator (LASSO) and best subset regression to construct the nomogram. After internal and external validation of this model, risk stratification was established, and differences between risk groups were assessed using Kaplan-Meier method. RESULTS: A total of 10,697 elderly LABC patients were divided into a training group (n = 7131) and a validation group (n = 3566) with a 5-year overall survival rate of 57.6% [confidence interval (CI): 56.4%-58.7%]. A nomogram was developed using age, marital status, histological grading, estrogen and progesterone receptors, surgery, radiation therapy, and chemotherapy as predictors. This model was evaluated and validated to perform well, with a discrimination index of 0.744 (95% CI: 0.734-0.753). Patients were divided into low, medium and high groups based on risk scores, and there was a significant difference in survival between the 3 groups. CONCLUSION: The prognosis of elderly LABC was poor. The nomogram constructed based on prognostic factors could accurately predict the prognosis, which would provide a reference for treatment and follow-up.

HMGB1/TLR4 induces autophagy and promotes neuroinflammation after intracerebral hemorrhage.

BACKGROUND AND PURPOSE: Intracerebral hemorrhage (ICH) causes autophagy as well as inflammation; the latter is known to involve the high-mobility group box 1 protein (HMGB1)/Toll-like receptor 4 (TLR4) axis. Here we investigated whether this axis may help mediate both the autophagy and inflammation associated with ICH. METHODS: ICH was induced by injecting autologous blood into Sprague-Dawley rats, followed in some cases by intracerebroventricular injection of short interfering RNA (siRNA) against HMGB1 or TLR4 at 6 h after ICH induction or by intraperitoneal injection of the autophagy inhibitor 3-methyladenine (3-MA) or autophagy activator rapamycin at 6, 24, and 48 h after ICH induction. Western blotting, immunohistochemistry or immunofluorescence was used to assess levels of HMGB1/TLR4 signaling pathway proteins as well as markers of autophagy (LC3B, Beclin1, Atg5) or inflammation (IL-1 beta, TNF-α). Numbers of apoptotic cells were determined using TUNEL staining. Changes in levels of these proteins were correlated with neurological deficits measured using the modified Neurological Severity Score. RESULTS: ICH caused HMGB1 to translocate from the nucleus into the cytoplasm, and it up-regulated expression of TLR4 and myeloid differentiation factor 88 (MyD88), and induced neurological deficits. Administering siRNA against HMGB1 or TLR4 reversed this up-regulation. Levels of markers of autophagy (LC3B, Beclin1, Atg5) or inflammation (IL-1 beta, TNF-α) were significantly higher 72 h after ICH than at baseline, as were the numbers of TUNEL-positive cells. Administering siRNA against HMGB1 or TLR4 markedly alleviated inflammation, and autophagy, apoptosis, and neurological deficits. Similarly, administering autophagy inhibitor 3-MA alleviated inflammation, apoptosis, and neurological deficits. Conversely, autophagy activator rapamycin exacerbated these effects of ICH. CONCLUSIONS: During the acute phase of ICH, the HMGB1/TLR4/MyD88 axis acts via autophagy to promote inflammation.

CircRNA CTNNB1 (circCTNNB1) ameliorates cerebral ischemia/reperfusion injury by sponging miR-96-5p to up-regulate scavenger receptor class B type 1 (SRB1) expression.

Emerging studies show that circRNA catenin beta 1 (circCTNNB1) plays a critical role in cancer. However, the expression and function of circCTNNB1 in cerebral ischemia/reperfusion injury (IRI) have not been reported. The present study discovered that circCTNNB1 and scavenger receptor class B type 1 (SRB1) expression levels were significantly down-regulated in mouse astrocytes (mAS) treated with oxygen glucose deprivation and reperfusion (OGD/R), and similar results were observed in a mouse middle cerebral artery occlusion model. Overexpression of circCTNNB1 alleviated cell apoptosis, oxidative stress and the inflammatory response induced by OGD/R in vitro. Up-regulation of circCTNNB1 increased SRB1 expression levels to protect mAS cells from OGD/R-induced damage. CircCTNNB1 and SRB1 interacted with miR-96-5p, and the overexpression of miR-96-5p efficiently reversed the function of circCTNNB1 in OGD/R-treated mAS cells. CircCTNNB1 protected against cerebral ischemia-reperfusion injury by up-regulating SRB1 in vivo. In conclusion, our findings suggest that circCTNNB1 acts as a competitive endogenous RNA for miR-96-5p to alleviate cerebral IRI, which provides novel evidence that circCTNNB1 and SRB1 may be biomarkers and therapeutic targets for cerebral IRI.

Abnormal Brain MRI Findings in Anti-N-Methyl-D-Aspartate Receptor Encephalitis and Correlation With Outcomes.

Purpose: The reported prevalence of abnormal findings by brain MRI varies from 11 to 83% among patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis. Here, we investigated the prevalence of abnormal MRI findings in Chinese patients and explored whether such findings are correlated with clinical outcomes. Methods: This retrospective study analyzed a consecutive series of 52 patients with anti-NMDAR encephalitis admitted to our hospital. The patients were assigned to the "MRI-normal" or the "MRI-abnormal" group based on brain MRI after admission. The groups were compared in terms of clinicodemographic characteristics and scores on the Mini-Mental State Examination (MMSE) and modified Rankin Scale (mRS) 3 and 12 months after admission. Results: Thirty-seven (71.15%) of the patients showed abnormalities on brain MRI; these patients were more likely to be men and showed abnormalities on electroencephalography. Patients who showed normal or abnormal MRI findings did not differ significantly in terms of clinical symptoms, rates of mortality or relapse, or mRS scores after 3 and 12 months. However, patients with abnormal MRI showed significantly lower MMSE scores than those with normal MRI after 3 and 12 months. Conclusions: We found high prevalence of abnormal MRI findings in our sample of Chinese patients with anti-NMDAR encephalitis. We also found that the abnormal findings were associated with cognitive decline but not necessarily with mortality or functional outcomes in the short or long term.

Effect of Tai Chi Quan on the Pressure Pain Thresholds of Lower Back Muscles in Healthy Women.

PURPOSE: Although studies on the improvement of pain after exercise are increasingly diverse, whether Tai Chi Quan can improve the pressure pain thresholds remains unknown. This study was to observe the effect of Tai Chi Quan on the pressure pain thresholds of lower back muscles in healthy women. PATIENTS AND METHODS: This was a randomized controlled trial. Sixty healthy women aged 18-40 years were randomly assigned to Tai Chi group or control group. The Tai Chi group received 40-minute practice, and the control group received 5-minute sham Tai Chi Quan practice and 35-minute rest. The pressure pain thresholds of the longissimus thoracis, iliocostalis lumborum, multifidus muscle, quadratus lumborum, gluteus medius and supraspinous ligament were assessed before and immediately after intervention. RESULTS: The pressure pain thresholds of test points in the Tai Chi group showed substantial improvements after exercise, whereas those in the control group did not improve. Overall, the pressure pain thresholds in the Tai Chi group significantly increased compared with the control group (longissimus thoracis: p = 0.000, iliocostalis lumborum: p = 0.000, multifidus muscle: p = 0.000, quadratus lumborum: p = 0.012, gluteus medius: p = 0.000 and supraspinous ligament: p = 0.000). CONCLUSION: Forty minutes of Tai Chi Quan exercise remarkably increased the pressure pain thresholds of lower back muscles in healthy women, and thresholds at by an these points increased average of 17.2%.

Conditional survival analysis and real-time prognosis prediction for cervical cancer patients below the age of 65 years.

Background: Survival prediction for cervical cancer is usually based on its stage at diagnosis or a multivariate nomogram. However, few studies cared whether long-term survival improved after they survived for several years. Meanwhile, traditional survival analysis could not calculate this dynamic outcome. We aimed to assess the improvement of survival over time using conditional survival (CS) analysis and developed a novel conditional survival nomogram (CS-nomogram) to provide individualized and real-time prognostic information. Methods: Cervical cancer patients were collected from the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method estimated cancer-specific survival (CSS) and calculated the conditional CSS (C-CSS) at year y+x after giving x years of survival based on the formula C-CSS(y|x) =CSS(y+x)/CSS(x). y indicated the number of years of further survival under the condition that the patient was determined to have survived for x years. The study identified predictors by the least absolute shrinkage and selection operator (LASSO) regression and used multivariate Cox regression to demonstrate these predictors' effect on CSS and to develop a nomogram. Finally, the CSS possibilities predicted by the nomogram were brought into the C-CSS formula to create the CS-nomogram. Results: A total of 18,511 patients aged <65 years with cervical cancer from 2004 to 2019 were included in this study. CS analysis revealed that the 15-year CSS increased year by year from the initial 72.6% to 77.8%, 84.5%, 88.8%, 91.5%, 93.5%, 94.8%, 95.7%, 96.4%, 97.3%, 98.0%, 98.5%, 99.1%, and 99.4% (after surviving for 1-13 years, respectively), and found that when survival exceeded 5-6 years, the risk of death from cervical cancer would be less than 5% in 10-15 years. The CS-nomogram constructed using tumor size, lymph node status, distant metastasis status, and histological grade showed strong predictive performance with a concordance index (C-index) of 0.805 and a stable area under the curve (AUC) between 0.795 and 0.816 over 15 years. Conclusions: CS analysis in this study revealed the gradual improvement of CSS over time in long-term survived cervical cancer patients. We applied CS to the nomogram and developed a CS-nomogram successfully predicting individualized and real-time prognosis.

Association Between Soluble Receptor for Advanced Glycation End Product and Endogenous Secretory Soluble Receptor for Advanced Glycation End Product Levels and Carotid Atherosclerosis in Diabetes: A Systematic Review and Meta-Analysis.

BACKGROUND: The soluble receptor for advanced glycation end product (sRAGE) and endogenous secretory RAGE (esRAGE) are novel biomarkers that are associated with vascular disease. We carried out a systematic review to provide a more complete picture of sRAGE, esRAGE, carotid atherosclerosis and cardiovascular disease (CVD) in patients with diabetes. METHODS: We searched the Cochrane Library, PubMed and Embase databases. Systematic review best practices were followed, and study quality was assessed. RESULTS: Ultimately, 11 studies met all the inclusion criteria. Meta-analysis indicated that esRAGE was not significantly lower in patients with type 1 diabetes (T1D) (standardized mean difference [SMD], -0.76; 95% confidence interval [CI], -1.57 to 0.05; I2=90%; p=0.002), whereas it was significantly lower in patients with type 2 diabetes (T2D) (SMD, -1.08; 95% CI, -1.53 to -0.62; I2=80%; p=0.006). Meta-analysis suggested that sRAGE levels were not significantly lower or higher in T1D (SMD, 0.06; 95% CI, -0.14 to 0.26; I2=38%; p=0.20) or T2D (SMD, 0.00; 95% CI, -0.26 to 0.26; I2=0.00%; p=1.00) patients. The level of esRAGE was inversely correlated with carotid intima-media thickness (IMT) in T2D patients, whereas there was a contrasting relationship between sRAGE and carotid IMT in T1D patients. Higher sRAGE was associated with cardiovascular events. CONCLUSION: Our meta-analysis showed that circulating esRAGE was lower and inversely correlated with IMT in T2D patients.

Mechanical Thrombectomy in Patients with Acute Ischemic Stroke and ASPECTS ≤5.

OBJECTIVE: This study examined the clinical features, functional outcomes, and prognostic indicators of acute ischemic stroke (AIS) patients who had an Alberta Stroke Program Early Computed Tomography Score (ASPECTS) ≤ 5 and who underwent mechanical thrombectomy (MT). METHODS: We included consecutive AIS patients with ASPECTS ≤ 5 who had received MT at the same hospital. Demographic, clinical, and radiological data were collected and analyzed. Functional outcome at 90 days after treatment was classified as good or poor based on the modified Rankin Scale (mRS). RESULTS: Of the 152 included patients with ASPECTS ≤ 5 who received MT, 64 (42.11%) experienced poor functional outcomes and 32 (21.1%) experienced good functional outcomes. The independent predictors of poor functional outcomes were the presence of respiratory tract infections (OR 3.72, 95% CI 1.17-11.91), modified thrombolysis in cerebral infarction (OR 0.41, 95% CI 0.2-0.83), symptomatic intracerebral hemorrhage (sICH) (OR 4.96, 95% CI 1.36-18.13), and baseline score on the National Institute of Health Stroke Scale (NIHSS) (OR 1.18, 95% CI 1.03-1.36). Independent predictors of 90-day mortality included time from groin puncture to recanalization (OR 1.03, 95% CI 1.01-1.05), NIHSS scores (OR 1.28, 95% CI 1.12-1.47) and the occurrence of sICH (OR 1.81, 95% CI 1.25-5.75). CONCLUSION: AIS patients with ASPECTS ≤ 5 can experience good functional outcomes after MT. However, patients with sICH, respiratory infection, higher NIHSS score or failed recanalization are more likely to experience poor functional outcomes.

Accuracy of the Blend Sign on Computed Tomography as a Predictor of Hematoma Growth after Spontaneous Intracerebral Hemorrhage: A Systematic Review.

BACKGROUND: Hematoma growth is a strong independent predictor of poor outcome after intracerebral hemorrhage. However, there is no gold standard to accurately predict hematoma growth. Several noncontrast computed tomographic markers associated with hematoma growth have been reported recently. Blend sign, which is a new marker, has been reported in several studies and seems a particularly promising marker but lacks a standardized evaluation so far. METHODS: A systematic review of published literature on blend sign and hematoma growth and clinical outcomes was conducted. Systematic review of best practices was followed, and study quality was assessed. RESULTS: The 6 studies involved 1573 participants in this review. The prevalence of blend sign ranged from 8.70% to 38.46%. The sensitivity of blend sign to predict hematoma growth varied from 13.0% to 42.86%; the specificity varied from 88.51% to 95.5%. Blend sign showed lower sensitivity but superior specificity for prediction of hematoma growth. Four studies indicated that the presence of blend sign was an independent predictor of hematoma growth. Four studies showed that the prevalence of blend sign was significantly higher in patients with hematoma growth compared with those without hematoma growth (odds ratio, 9.33; 95% confidence interval, 5.20-16.74). CONCLUSION: There was an association between blend sign and hematoma growth, but this finding is tentative in light of the fact that the number of included studies was relatively small.

Association of HMGCR polymorphism with late-onset Alzheimer's disease in Han Chinese.

The 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) acts as a potential genetic modifier for Alzheimer's disease (AD). Previous reports identified that HMGCR rs3846662 polymorphism is associated with biosynthesis of cholesterol in AD pathology. In order to assess the involvement of the HMGCR polymorphism in the risk of late-onset AD (LOAD) in northern Han Chinese, we performed a case-control study of 2334 unrelated subjects (984 cases and 1350 age- and gender-matched controls) to evaluate the genotype and allele distributions of the HMGCR rs3846662 with LOAD. The genotype distribution (GG, AG, AA) of rs3846662 was significantly different between LOAD patients and controls (P = 0.003), but the allele distribution did not reach a significant difference (P = 0.614). After adjusting for age, gender and the APOE ε4 status, the minor A allele of rs3846662 was validated as a protective factor for LOAD in dominant model (OR = 0.796, P = 0.02, 95% CI = 0.657-0.965). Interestingly, we observed rs3846662 polymorphism was only significantly associated with LOAD in APOE ε4 non-carriers (OR = 0.735, P = 0.005, 95% CI = [0.593, 0.912]). In conclusion, our study demonstrates A allele of HMGCR rs3846662 acts as a protective factor for LOAD in northern Han Chinese.

The Role of TDP-43 in Alzheimer's Disease.

The transactive response DNA binding protein (TDP-43) has long been characterized as a main hallmark of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration with ubiquitin-positive inclusions (FTLD-U, also known as FTLD-TDP). Several studies have indicated TDP-43 deposits in Alzheimer's disease (AD) brains and have robust connection with AD clinical phenotype. FTLD-U, which was symptomatically connected with AD, may be predictable for the comprehension of the role TDP-43 in AD. TDP-43 may contribute to AD through both ß-amyloid (Aß)-dependent and Aß-independent pathways. In this article, we summarize the latest studies concerning the role of TDP-43 in AD and explore TDP-43 modulation as a potential therapeutic strategy for AD. However, to date, little of pieces of the research on TDP-43 have been performed to investigate the role in AD; more investigations need to be confirmed in the future.

Magnetic Resonance Spectroscopy in Alzheimer's Disease: Systematic Review and Meta-Analysis.

BACKGROUND: The application of non-invasive proton magnetic resonance spectroscopy (1H-MRS) could potentially identify changes in cerebral metabolites in the patients with Alzheimer's disease (AD). However, whether these metabolites can serve as biomarkers for the diagnosis of AD remains unclear. OBJECTIVE: Using meta-analysis, we aimed to investigate the patterns of cerebral metabolite changes in several cerebral regions that are strongly associated with cognitive decline in AD patients. METHODS: Using Hedges' g effect size, a systematic search was performed in PubMed, Cochrane Library, Ovid, Embase, and EBSCO, and 38 studies were integrated into the final meta-analysis. RESULTS: According to the observational studies, N-acetyl aspartate (NAA) in AD patients was significantly reduced in the posterior cingulate (PC) (effect size (ES) =-0.924, p <  0.005) and bilateral hippocampus (left hippocampus: ES =-1.329, p <  0.005; right hippocampus: ES =-1.287, p <  0.005). NAA/Cr (creatine) ratio decreased markedly in the PC (ES =-1.052, p <  0.005). Simultaneously, significant elevated myo-inositol (mI)/Cr ratio was found not only in the PC but also in the parietal gray matter. For lack of sufficient data, we failed to elucidate the efficacy of pharmacological interventions with the metabolites changes. CONCLUSION: The available data indicates that NAA, mI, and the NAA/Cr ratio might be potential biomarkers of brain dysfunction in AD subjects. Choline (Cho)/Cr and mI/NAA changes might also contribute toward the diagnostic process. Thus, large, well-designed studies correlated with cerebral metabolism are needed to better estimate the cerebral extent of alterations in brain metabolite levels in AD patients.