ObjectiveTo analyze the effect of carotid artery stenosis degree and intervention for carotid artery stenosis on the incidence of central nervous system complications after off-pump coronary artery bypass grafting (OPCABG) and explore the influencing factors. MethodsA total of 1 150 patients undergoing OPCABG in our hospital from June 2018 to June 2021 were selected and divided into two groups according to whether there were central nervous system complications, including a central nervous system complication group [n=61, 43 males and 18 females with a median age of 68.0 (63.0, 74.0) years] and a non-central nervous system complication group [n=1 089, 796 males and 293 females with a median age of 65.5 (59.0, 70.0) years]. The risk factors for central nervous system complications after OPCABG were analyzed. ResultsUnivariate analysis showed that age, smoking, hyperlipidemia, preoperative left ventricular ejection fraction, intra-aortic ballon pump (IABP), postoperative arrhythmia, postoperative thoracotomy and blood transfusion volume were associated with central nervous system complications. The incidence of central nervous system complications in patients with severe carotid artery stenosis or occlusion (11.63%) was higher than that in the non-stenosis and mild stenosis patients (4.80%) and moderate stenosis patients (4.76%) with a statistical difference (P=0.038). The intervention for carotid artery stenosis before or during the operation did not reduce the incidence of central nervous system complications after the operation (42.11% vs. 2.99%, P<0.001). Age, postoperative arrhythmia, severe unilateral or bilateral carotid artery stenosis and occlusion were independent risk factors for postoperative central nervous system complications (P<0.05). Conclusion The age, smoking, hyperlipidemia, preoperative left ventricular ejection fraction, intraoperative use of IABP, postoperative arrhythmia, secondary thoracotomy after surgery, blood transfusion volume and OPCABG are associated with the incidence of postoperative central nervous system complications in patients. Age, postoperative arrhythmia, severe unilateral or bilateral carotid artery stenosis and occlusion are independent risk factors for postoperative central nervous system complications. In patients with severe carotid artery stenosis, preoperative treatment of the carotid artery will not reduce the incidence of central nervous system complications.
ObjectiveTo systematically evaluate the clinical value of machine learning (ML) for predicting the neurological outcome of out-of-hospital cardiac arrest (OHCA), and to develop a prediction model. MethodsWe searched the PubMed, Web of Science, EMbase, CNKI, Wanfang database from January 1, 2011 to November 24, 2021. Studies on ML for predicting neurological outcomes in OHCA pateints were collected. Two researchers independently screened the literature, extracted the data and evaluated the bias of the included literature, evaluated the accuracy of different models and compared the area under the receiver operating characteristic curve (AUC). ResultsA total of 20 studies were included. Eleven of the studies were from open source databases and nine were from retrospective studies. Sixteen studies directly predicted OHCA neurological outcomes, and four predicted OHCA neurological outcomes after target temperature management. A total of seven ML algorithms were used, among which neural network was the ML algorithm with the highest frequency (n=5), followed by support vector machine and random forest (n=4). Three papers used multiple algorithms. The most frequently used input characteristic was age (n=19), followed by heart rate (n=17) and gender (n=13). A total of 4 studies compared the predictive value of ML with other classical statistical models, and the AUC value of ML model was higher than that of classical statistical models. ConclusionExisting evidence suggests that ML can more accurately predict OHCA nervous system outcomes, and the predictive performance of ML is superior to traditional statistical models in certain situations.
This article investigates the role of AMP-activated protein kinase (AMPK) and its downstream signaling targets in mediating cellular processes such as autophagy, apoptosis, and inflammation, offering insights into how acupuncture may treat common central nervous system (CNS) diseases, including ischemic stroke, spinal cord injury, Parkinson disease, and Alzheimer disease. AMPK and its downstream effectors are pivotal in the signaling pathways that underlie the pathophysiology of CNS diseases. These pathways are implicated in a variety of cellular responses that contribute to the progression of neurological disorders. During CNS injury, AMPK can be activated through phosphorylation, triggering the regulation of downstream molecules and exerting protective effects on neuronal function. Acupuncture has been shown to promote neuroprotection and enhance recovery in CNS diseases through multiple mechanisms, one of which involves the activation of AMPK-related signaling pathways. Nevertheless, numerous unresolved challenges remain in this research field.
Objective To review the progress of the research on therelationship between the central nervous system injury and the heterotopic ossification. Methods The recent articles on the central nervous system injury and the heterotopic ossification were extensively reviewed, and the related clinical signs, symptoms, pathogenesis diagnosis, risk factors, prophylaxis, and treatment of the neurogenic heterotopic ossification were investigated. Results The possible mechanism for the neurogenic heterotopic ossification might involve the roles of thebone morphogenetic protein and the basic fibroblast growth factor, which were suggested as mediators in differentiation of the progenitor cells. Sonographic, serum creatine phosphokinase, and C-reactive protein were recommended as the useful screening tools for heterotopic ossification. Colchicine and rofecoxib could be used for the prophylaxis or treatment of heterotopic ossification. Conclusion The research on the neurogenic heterotopic ossification has achieved a great development but further studies in this field are still required.
ObjectiveTo summarize the current research progress on the changes of enteric glial cells (EGCs) in intestinal motility disorders and its possible molecular mechanisms in regulating intestinal motility.MethodThe literatures related to the EGCs and intestinal dysmotility were collected and analyzed.ResultsThe EGCs were involved in the occurrence and development of intestinal motility disorders, and there were abnormalities in the quantity, receptor, and phenotype in the different dysmotility diseases such as the postoperative ileus, Hirschsprung disease, inflammatory bowel disease, diabetes and so on. It could sense the neuronal signals and communicate with the enteric neurons via Ca2+ response and connexin-43 to affect the intestinal motility.ConclusionStudy of role and mechanism of EGCs in intestinal motor dysfunction is helpful to discovery new targets for treatment of these diseases.
Age is the main cause of neurodegenerative changes in the central nervous system (CNS), and the loss of neurons would increase with the migration of the disease. The current treatment is also mainly used to relieve symptoms, while the function of CNS is very difficult to recover. The emergence of endogenous stem cells has brought new hope for the treatment of CNS diseases. However, this nerve regeneration is only in some specific areas, and the recovery of neural function remains unknown. More and more experts in the field of neuroscience have carried out various in vivo or in vitro experiments, in order to increase nerve regeneration and nerve function recovery through mechanism research, in the expectation that the results would be applied to the treatment of CNS diseases. This article reviews the recent progress of endogenous neural stem cells in degenerative diseases of CNS.
Objective To develop a novel prediction model based on cerebrospinal fluid (CSF) lactate for early identification of high-risk central nervous system (CNS) infection patients in the emergency setting. Methods Patients diagnosed with CNS infections admitted to the Department of Emergency Medicine of West China Hospital, Sichuan University between January 1, 2020 and December 31, 2023 were retrospectively selected. Patients were classified into a survival group and a death group according to their 28-day survival status, and clinical characteristics were compared between groups. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of 28-day mortality, which were subsequently used to construct a nomogram. Results A total of 173 patients were included, comprising 135 in the survival group and 38 in the death group. Multivariate analysis identified the Acute Physiology and Chronic Health Evaluation Ⅳ (APACHE Ⅳ) score [odds ratio (OR)=1.027, 95% confidence interval (CI) (1.002, 1.055), P=0.034], CSF lactate [OR=1.147, 95%CI (1.025, 1.286), P=0.018], and interleukin-6 [OR=1.002, 95%CI (1.001, 1.004), P=0.002] as independent predictors of 28-day mortality. The integrated model combining APACHE Ⅳ score, CSF lactate, and interleukin-6, demonstrated superior predictive performance compared with the APACHE Ⅳ score alone (P=0.020), and showed good calibration (Hosmer-Lemeshow P=0.50). Conclusions This tool may provide a useful instrument for emergency physicians to assess the 28-day mortality risk in patients with CNS infections, potentially facilitating early and targeted interventions for high-risk individuals. However, as the findings of this study are derived from a single-center retrospective dataset, the clinical applicability of this model requires further external validation through large-scale, prospective, multicenter studies to evaluate its generalizability.
Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices. To validate the superiority of the proposed method under nonstationary and low signal-to-noise ratio conditions, simulations were first conducted to demonstrate the performance strength of the proposed method to the traditional one. Next, the proposed CPC algorithm was applied to analyze cardiac and respiratory data from both elderly and young populations, revealing that young populations exhibited significantly stronger couplings in the high-frequency band compared with their elderly counterparts. Finally, a CPC assessment system was constructed by integrating wearable devices, and additional recordings from both elderly and young populations were collected by using the system, completing the validation and application of the aging effect assessment algorithm and the wearable system. In conclusion, this study may offers methodological and system support for assessing the aging effects on the ANS.
Objective To investigate the clinical features, diagnosis and treatment of symptomatic epilepsy complicated with central nervous system leukemia (CNSL) recurrence after acute lymphoblastic leukemia (ALL) treatment in children. MethodsThe clinical data of a child with secondary recurrence of CNSL complicated with symptomatic epilepsy after ALL treatment admitted to the Department of Pediatrics of the Second Affiliated Hospital of Auhui Medical University from December 2020 to February 2023 were retrospectively analyzed, and the relevant literature was reviewed and discussed. ResultsPatient was ALL for nealy two years after treatment in the central nervous system leukemia relapse of concurrent symptomatic epilepsy, two of the central nervous system leukemia relapse when starting symptoms are seizure, the first recurrence was status epilepticus, second recurrence of concurrent limb hemiplegia symptoms, cerebrospinal fluid, cranial magnetic resonance (MRI) and abnormal changes of electroencephalogram and clinical features, the abnormal changes of brain MRI lesions and electroencephalogram did not disappear. Chemotherapy, intrathecal injection and radiotherapy were given for the primary treatment, follow up CAR-T immunotherapy, and the treatment was successively combined with nalproate and levetiracetam. Currently, the seizures were controlled. ConclusionFor children with ALL, the recurrence of CNSL should be warned after the end of treatment. Cerebrospinal fluid, cranial imaging and electroencephalogram examination should be completed in time to confirm the diagnosis. If the crania imaging lesions persist after treatment and abnormal electroencephalogram discharge does not disappear, the possibility of CNSL recurrence should be warned when the epileptic seizures are repeated. On the basis of primary disease active treatment, combination of antiseizure medications is preferable.
Calculation of linear parameters, such as time-domain and frequency-domain analysis of heart rate variability (HRV), is a conventional method for assessment of autonomic nervous system activity. Nonlinear phenomena are certainly involved in the genesis of HRV. In a seemingly random signal the Poincaré plot can easily demonstrate whether there is an underlying determinism in the signal. Linear and nonlinear analysis methods were applied in the computer words inputting experiments in this study for physiological measurement. This study therefore demonstrated that Poincaré plot was a simple but powerful graphical tool to describe the dynamics of a system.