The FAITHS2 Model Predicts Functional Disability in Patients With Acute Ischemic Stroke.

The present study aimed to develop a model to predict functional disability at 3 months in patients with acute ischemic stroke (AIS) (n = 5,406). The primary outcome was functional disability (modified Rankin Scale [mRS] >2) at 3 months. A prediction model including blood biomarkers was developed based on a multivariable logistic regression model, which was internally validated by the 100-time bootstrap method. A nomogram and a web-based calculator were developed for usage in clinical practice. At 3 months, 11% (638/5,406) of the patients had functional disability. Seven independent predictors of functional disability at 3 months were incorporated into the FAITHS2 model (fasting plasma glucose, age, interleukin-6, stroke history, National Institute of Health Stroke Scale [NIHSS] at admission, sex, and systolic blood pressure). The Area Under Curves (AUCs) were 0.814 (95% confidence interval [CI] 0.796-0.832) and 0.808 (95% CI 0.806-0.810), and the Brier scores were 0.088 ± 0.214 and 0.089 ± 0.003 for the derivation cohort and internal validation, respectively, showing optimal performance of the model. The FAITHS2 model has excellent potential to be a dependable application for individualized clinical decision making.

Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation.

Introduction: Magnetic Resonance Imaging (MRI) is essential in diagnosing cervical spondylosis, providing detailed visualization of osseous and soft tissue structures in the cervical spine. However, manual measurements hinder the assessment of cervical spine sagittal balance, leading to time-consuming and error-prone processes. This study presents the Pyramid DBSCAN Simple Linear Iterative Cluster (PDB-SLIC), an automated segmentation algorithm for vertebral bodies in T2-weighted MR images, aiming to streamline sagittal balance assessment for spinal surgeons. Method: PDB-SLIC combines the SLIC superpixel segmentation algorithm with DBSCAN clustering and underwent rigorous testing using an extensive dataset of T2-weighted mid-sagittal MR images from 4,258 patients across ten hospitals in China. The efficacy of PDB-SLIC was compared against other algorithms and networks in terms of superpixel segmentation quality and vertebral body segmentation accuracy. Validation included a comparative analysis of manual and automated measurements of cervical sagittal parameters and scrutiny of PDB-SLIC's measurement stability across diverse hospital settings and MR scanning machines. Result: PDB-SLIC outperforms other algorithms in vertebral body segmentation quality, with high accuracy, recall, and Jaccard index. Minimal error deviation was observed compared to manual measurements, with correlation coefficients exceeding 95%. PDB-SLIC demonstrated commendable performance in processing cervical spine T2-weighted MR images from various hospital settings, MRI machines, and patient demographics. Discussion: The PDB-SLIC algorithm emerges as an accurate, objective, and efficient tool for evaluating cervical spine sagittal balance, providing valuable assistance to spinal surgeons in preoperative assessment, surgical strategy formulation, and prognostic inference. Additionally, it facilitates comprehensive measurement of sagittal balance parameters across diverse patient cohorts, contributing to the establishment of normative standards for cervical spine MR imaging.

Multi-modal molecular determinants of clinically relevant osteoporosis subtypes.

Due to a rapidly aging global population, osteoporosis and the associated risk of bone fractures have become a wide-spread public health problem. However, osteoporosis is very heterogeneous, and the existing standard diagnostic measure is not sufficient to accurately identify all patients at risk of osteoporotic fractures and to guide therapy. Here, we constructed the first prospective multi-omics atlas of the largest osteoporosis cohort to date (longitudinal data from 366 participants at three time points), and also implemented an explainable data-intensive analysis framework (DLSF: Deep Latent Space Fusion) for an omnigenic model based on a multi-modal approach that can capture the multi-modal molecular signatures (M3S) as explicit functional representations of hidden genotypes. Accordingly, through DLSF, we identified two subtypes of the osteoporosis population in Chinese individuals with corresponding molecular phenotypes, i.e., clinical intervention relevant subtypes (CISs), in which bone mineral density benefits response to calcium supplements in 2-year follow-up samples. Many snpGenes associated with these molecular phenotypes reveal diverse candidate biological mechanisms underlying osteoporosis, with xQTL preferences of osteoporosis and its subtypes indicating an omnigenic effect on different biological domains. Finally, these two subtypes were found to have different relevance to prior fracture and different fracture risk according to 4-year follow-up data. Thus, in clinical application, M3S could help us further develop improved diagnostic and treatment strategies for osteoporosis and identify a new composite index for fracture prediction, which were remarkably validated in an independent cohort (166 participants).

Inflammatory marker profiles and in-hospital neurological deterioration in patients with acute minor ischemic stroke.

AIM: The aim of the study was to analyze the association between inflammatory marker profiles and in-hospital neurological deterioration (ND) in acute ischemic stroke (AIS) patients. METHODS: Data from patients with minor AIS from the Third China National Stroke Registry were analyzed. Inflammatory cytokine levels within 24 h of admission were measured. The primary outcome was in-hospital ND (an increase in National Institutes of Health Stroke Scale score ≥4 from admission to discharge). Associations were evaluated using odds ratios (ORs) and 95% confidence intervals (CIs) derived from logistic regression models. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to evaluate incremental predictive values. RESULTS: A total of 4031 patients (1246 women, 30.9%) with a median age of 62 years were included. In-hospital ND occurred in 121 patients (3%). Each standard-deviation increase in interleukin (IL)-6 (OR, 1.17 [95% CI, 1.06-1.31]) and high-sensitivity C-reactive protein (hsCRP) (OR, 1.43 [95% CI, 1.24-1.66]) levels was associated with increased in-hospital ND risk. Incremental predictive values for adding IL-6 (IDI, 0.012; NRI, 0.329) but not hsCRP levels to the conventional risk factors were found. CONCLUSION: In minor AIS, hsCRP and IL-6 levels were associated with in-hospital ND, including IL-6 levels in prognostic models improved risk classification.

Network pharmacology analysis and animal experiment validation of neuroinflammation inhibition by total ginsenoside in treating CSM.

BACKGROUND: Cervical spondylotic myelopathy (CSM) is a degenerative pathology that affects both upper and lower extremity mobility and sensory function, causing significant pressure on patients and society. Prior research has suggested that ginsenosides may have neuroprotective properties in central nervous system diseases. However, the efficacy and mechanism of ginsenosides for CSM have yet to be investigated. PURPOSE: This study aims to analyze the composition of ginsenosides using UPLC-MS, identify the underlying mechanism of ginsenosides in treating CSM using network pharmacology, and subsequently confirm the efficacy and mechanism of ginsenosides in rats with chronic spinal cord compression. METHODS: UPLC-Q-TOF-MS was utilized to obtain mass spectrum data of ginsenoside samples. The chemical constituents of the samples were analyzed by consulting literature reports and relevant databases. Ginsenoside and CSM targets were obtained from the TCMSP, OMIM, and GeneCards databases. GO and KEGG analyses were conducted, and a visualization network of ginsenosides-compounds-key targets-pathways-CSM was constructed, along with molecular docking of key bioactive compounds and targets, to identify the signaling pathways and proteins associated with the therapeutic effects of ginsenosides on CSM. Chronic spinal cord compression rats were intraperitoneally injected with ginsenosides (50 mg/kg and 150 mg/kg) and methylprednisolone for 28 days, and motor function was assessed to investigate the therapeutic efficacy of ginsenosides for CSM. The expression of proteins associated with TNF, IL-17, TLR4/MyD88/NF-κB, and NLRP3 signaling pathways was assessed by immunofluorescence staining and western blotting. RESULTS: Using UPLC-Q-TOF-MS, 37 compounds were identified from ginsenoside samples. Furthermore, ginsenosides-compounds-key targets-pathways-CSM visualization network indicated that ginsenosides may modulate the PI3K-Akt signaling pathway, TNF signaling pathway, MAPK signaling pathway, IL-17 signaling pathway, Toll-like receptor signaling pathway and Apoptosis by targeting AKT1, TNF, MAPK1, CASP3, IL6, and IL1B, exerting a therapeutic effect on CSM. By attenuating neuroinflammation through the TNF, IL-17, TLR4/MyD88/NF-κB, and MAPK signaling pathways, ginsenosides restored the motor function of rats with CSM, and ginsenosides 150 mg/kg showed better effect. This was achieved by reducing the phosphorylation of NF-κB and the activation of the NLRP3 inflammasome. CONCLUSIONS: The results of network pharmacology indicate that ginsenosides can inhibit neuroinflammation resulting from spinal cord compression through multiple pathways and targets. This finding was validated through in vivo tests, which demonstrated that ginsenosides can reduce neuroinflammation by inhibiting NLRP3 inflammasomes via multiple signaling pathways, additionally, it should be noted that 150 mg/kg was a relatively superior dose. This study is the first to verify the intrinsic molecular mechanism of ginsenosides in treating CSM by combining pharmacokinetics, network pharmacology, and animal experiments. The findings can provide evidence for subsequent clinical research and drug development.

The novel HLA-B*40:555 allele identified by Sanger dideoxy nucleotide sequencing in a Chinese individual.

HLA-B*40:555 differs from HLA-B*40:01:02:01 by one nucleotide in exon 3.

Predictors of dysphagia screening and pneumonia among patients with intracerebral haemorrhage in China: a cross-sectional hospital-based retrospective study.

OBJECTIVES: This study aimed to investigate factors associated with undergoing dysphagia screening (DS) and developing pneumonia, as well as the relationship between DS and pneumonia in patients with intracerebral haemorrhage (ICH). DESIGN: Our study was a cross-sectional hospital-based retrospective study. STUDY DESIGN AND SETTINGS: We derived data from the China Stroke Centre Alliance, a nationwide clinical registry of ICH from 1476 participating hospitals in mainland China. To identify predictors for pneumonia, multivariable logistic regression models were used to identify patient characteristics that were independently associated with DS and pneumonia. PARTICIPANTS: We included 31 546 patients in this study with patient characteristics, admission location, medical history, hospital characteristics and hospital grade from August 2015 to July 2019. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were DS and pneumonia during acute hospitalisation. RESULTS: In total, 25 749 (81.6%) and 7257 (23.0%) patients with ICH underwent DS and developed pneumonia. Compared with patients without pneumonia, those who developed pneumonia were older and had severe strokes (Glasgow Coma Scale 9-13: 52.7% vs 26.9%). Multivariable analyses revealed that a higher pneumonia risk was associated with dysphagia (OR, 4.34; 95% CI, 4.02 to 4.68), heart failure (OR, 1.85; 95% CI, 1.24 to 2.77) and smoking (OR, 1.12; 95% CI, 1.12 to 0.20). DS was associated with lower odds of pneumonia (OR, 0.65; 95% CI, 0.44 to 0.95). CONCLUSION: Our findings further confirm that dysphagia is an independent risk factor for pneumonia; one-fifth of patients with ICH did not undergo DS. However, comprehensive dysphagia evaluation and effective management are crucial. Nursing processes ensure the collection of complete and accurate information during evaluation of patients. There is a need to increase the rate of DS in patients with ICH, especially those with severe stroke or older. Further, randomised controlled trials are warranted to determine the effectiveness of DS on clinical outcomes.

[Research Progress in Physiological Evaluation and Treatment of Visually Induced Motion Sickness in Virtual Reality].

Visually induced motion sickness(VIMS)is the major barrier to be broken in the development of virtual reality(VR)technology,which seriously affects the progress in the VR industry.Therefore,the detection and evaluation of VIMS has become a hot research topic nowadays.We review the progress in physiological assessment of VIMS in VR based on several physiological indicators,including electroencephalogram(EEG),postural sway,eye movements,heart rate variability,and skin electrical signals,and summarize the available therapies,aiming to provide an outlook on the future research directions of VIMS.

Early diagnosis value of peripheral blood PPARγ combined with IFN-γ detection for tuberculosis infection in patients with end-stage renal disease / 中国热带医学

@#Abstract: Objective　To explore the early diagnostic value of peripheral blood peroxisome proliferator-activated receptor γ (PPARγ) combined with γ-interferon (IFN-γ) release assay (IGRA) in the diagnosis of pulmonary tuberculosis in patients with end-stage renal disease (ESRD), and to provide reference for clinical diagnosis and treatment. Methods　From January 2019 to December 2021, 70 ESRD patients with suspicious symptoms of pulmonary tuberculosis were treated at Hebei Chest Hospital were selected as the research objects. According to the examination results, they were divided into ESRD group (40 cases) and ESRD complicated by pulmonary tuberculosis (40 cases, comorbidity group). In addition, 40 cases with pulmonary tuberculosis were used as the PTB group. All three groups of patients underwent IGRA test, and the peripheral blood PPARγ level was detected by enzyme-linked immunosorbent assay, and the diagnostic value of PPARγ combined with IGRA test for ESRD patients with pulmonary tuberculosis was explored. Results The expression level of PPARγ and IFN-γ content in the PTB group and the comorbidity group were obviously higher than those in the ESRD group (P<0.05), while the differences in PPARγ expression level and IFN-γ content between the PTB and comorbidity groups were not statistically significant (P>0.05). The ROC curve showed that the areas under the curve (AUC) of PPARγ and IGRA in the diagnosis of end-stage renal disease combined with tuberculosis were 0.823 (95%CI: 0.722-0.925) and 0.773 (95%CI: 0.662-0.883), respectively, and the AUC of combined detection was 0.928 (95%CI: 0.871-0.984), which was better than that of PPARγ and IGRA alone (Z/P=2.057/0.039, 2.843/0.005). The Kappa values of serum PPARγ and IGRA test compared with the clinical gold standard results in the diagnosis of ESRD complicated with pulmonary tuberculosis were 0.557 and 0.444 (P<0.05). The combined screening of ESRD with pulmonary tuberculosis was consistent with the clinical gold standard (Kappa=0.661, P<0.05). Among the 30 ESRD patients complicated with pulmonary tuberculosis, the sensitivity of PPARγ combined with IGRA test in diagnosis of ESRD complicated with pulmonary tuberculosis was 93.33% (28/30), which was higher than 70.00% (21/30) of PPARγ and 66.67% (20/30) of IGRA test alone (P<0.05). Conclusions Peripheral blood PPARγ and IGRA tests have certain diagnostic value for ESRD complicated with tuberculosis, and the combined detection of the two can improve the sensitivity and reduce the rate of missed diagnosis, which is worthy of clinical promotion.

Differential gene expression between wild-type and Gulo-deficient mice supplied with vitamin C

The aim of this study was to test the hypothesis that hepatic vitamin C (VC) levels in VC deficient mice rescued with high doses of VC supplements still do not reach the optimal levels present in wild-type mice. For this, we used a mouse scurvy model (sfx) in which the L-gulonolactone oxidase gene (Gulo) is deleted. Six age- (6 weeks old) and gender- (female) matched wild-type (WT) and sfx mice (rescued by administering 500 mg of VC/L) were used as the control (WT) and treatment (MT) groups (n = 3 for each group), respectively. Total hepatic RNA was used in triplicate microarray assays for each group. EDGE software was used to identify differentially expressed genes and transcriptomic analysis was used to assess the potential genetic regulation of Gulo gene expression. Hepatic VC concentrations in MT mice were significantly lower than in WT mice, even though there were no morphological differences between the two groups. In MT mice, 269 differentially expressed transcripts were detected (> twice the difference between MT and WT mice), including 107 up-regulated and 162 down-regulated genes. These differentially expressed genes included stress-related and exclusively/predominantly hepatocyte genes. Transcriptomic analysis identified a major locus on chromosome 18 that regulates Gulo expression. Since three relevant oxidative genes are located within the critical region of this locus we suspect that they are involved in the down-regulation of oxidative activity in sfx mice.