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With the rapid development of healthcare big data and artificial intelligence technology, how to utilize the massive medical data generated based on clinical diagnosis and treatment has become an important issue to be solved in the field of clinical research. Clinical diagnosis and treatment data is an essential part of healthcare big data, and also the main field of healthcare big data research. With the continuous deepening and extensive development of informatization, hospitals have accumulated a large number of patient-centered clinical diagnosis and treatment data. Deeply mining and analyzing these data through big data technology can provide reference for precise diagnosis and treatment, and standardized prevention and control of diseases. However, conducting relevant research still faces many difficulties and blockages, such as the increased risk of data leakage or abuse, and the difficulty in implementing informed consent. To safely, legally and efficiently utilize clinical diagnosis and treatment data to conduct clinical research and fully tap into the value of these precious medical resources, a tertiary hospital in Beijing has built a research big data platform and developed relevant systems to effectively solve the problems of blockages and difficulties in the application of rich clinical resources to clinical research, and improve the service quality of medical institutions and the conversion rate of scientific research achievements. By introducing the key points and management methods in the implementation of clinical research based on the scientific research big data platform, analyzing and exploring the existing problems and improvement measures, this paper aimed to provide theoretical basis and system reference for high-quality and efficient health and medical big data clinical research, inspire and promote the continuous improvement of medical research management, and promote the development of medical and health science and technology innovation.
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Atherosclerosis is one of the most common cardiovascular and cerebrovascular diseases, and it is also an important cause of stroke. However, the research on the pathogenesis of atherosclerosis is still incomplete. Single cell technology, as an emerging technology in the study of differences in cell biology, has become a new tool and provides a new way of exploring the etiology of atherosclerosis. This article reviewed the research progress of single cell sequencing technology in atherosclerosis in recent years.
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The 24th National Conference of Neurology of Chinese Medical Association was held in Zhuhai City, Guangdong Province during September 23-26,2021.The conference adopted a combination of online and offline methods, with a total of 2 plenary meetings, 20 special seminars, 284 invited reports, 382 papers exchanged at the conference and 1 088 papers exchanged on the wall. The conference focused on cerebrovascular diseases, epilepsy, cognitive disorders, myopathy, peripheral neuropathy, neurodegenerative diseases, nerve infectious diseases, demyelinating diseases, neuroimmune diseases, genetic and metabolic nerve diseases, nerve rehabilitation, anxiety and depression, headache, sleep disorders, nerve nursing, nerve intervention, neuroimaging, neuroelectrophysiology, translational medicine, precision medicine and other related nervous system diseases. There were more than 7 000 participants who attended this conferece.
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Background@#and Purpose Despite administration of evidence-based therapies, residual risk of stroke recurrence persists. This study aimed to evaluate the residual risk of recurrent stroke in acute ischemic stroke or transient ischemic attack (TIA) with adherence to guideline-based secondary stroke prevention and identify the risk factors of the residual risk. @*Methods@#Patients with acute ischemic stroke or TIA within 7 hours were enrolled from 169 hospitals in Third China National Stroke Registry (CNSR-III) in China. Adherence to guideline-based secondary stroke prevention was defined as persistently receiving all of the five secondary prevention medications (antithrombotic, antidiabetic and antihypertensive agents, statin and anticoagulants) during hospitalization, at discharge, at 3, 6, and 12 months if eligible. The primary outcome was a new stroke at 12 months. @*Results@#Among 9,022 included patients (median age 63.0 years and 31.7% female), 3,146 (34.9%) were identified as adherence to guideline-based secondary prevention. Of all, 864 (9.6%) patients had recurrent stroke at 12 months, and the residual risk in patients with adherence to guidelinebased secondary prevention was 8.3%. Compared with those without adherence, patients with adherence to guideline-based secondary prevention had lower rate of recurrent stroke (hazard ratio, 0.85; 95% confidence interval, 0.74 to 0.99; P=0.04) at 12 months. Female, history of stroke, interleukin-6 ≥5.63 ng/L, and relevant intracranial artery stenosis were independent risk factors of the residual risk. @*Conclusions@#There was still a substantial residual risk of 12-month recurrent stroke even in patients with persistent adherence to guideline-based secondary stroke prevention. Future research should focus on efforts to reduce the residual risk.
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Objective@#To explore the patient and hospital related determinants of adherence to early antithrombotic therapy among patients with acute ischemic stroke (AIS).@*Methods@#AIS patients aged 50 years old or above who were eligible for early antithrombotic therapy, were included from the China National Stroke Registry Ⅱ (CNSR Ⅱ) project. Characteristics related to patients and hospitals were collected. Univariate analysis method was conducted to explore the correlation between hospital or patient-related determinants and early antithrombotic therapy. A 2-level logistic regression model was set up to identify patient and hospital-related variables that were associated with the adherence to early antithrombotic therapy, with patient as level 1 and hospital as level 2.@*Results@#A total of 16 910 patients were included in the study, with 14 332 (84.75%) of them having received early antithrombotic therapy. Results from the univariate analysis showed that the patient determinants to early antithrombotic therapy would include age, type of health insurance, average income and history of dyslipidemia. Hospital determinants would include factors as: level and region of the hospital, academic status, with/without stroke unit, quality control on single disease and the percentage of neurological beds in total beds (P<0.05). Data on multilevel model showed that the patient-related determinants on early antithrombotic therapy would include age, gender, average income, history of hypertension, National Institutes of Health Stroke Scale (NIHSS) score at admission while hospital related determinants would include percentage of neurological beds in total beds, and region of the hospital (P<0.05).@*Conclusions@#The quality of a hospital was associated with the adherence to early antithrombotic therapy. AIS patients at advanced age or with high NIHSS score at admission should be paid more attention.
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Objective To assess the value of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) value at 3.0T diffusion tensor imaging (DTI) in glioma grading before operation. Methods DTI was performed on 104 patients with histologically proved glioma. ADC, FA and DWI maps were produced, and ADC, FA value of solid tumors were measured and compared with the WHO classification of gliomas. Results Fifty-eight gliomas were WHO Ⅱ, 25 were WHO Ⅲ and 21 were WHO Ⅳ. The ADC value of WHO Ⅳ (0.81±0.20)×10~(-3)mm~2/s was lower than that of WHO Ⅲ [(1.05±0.30)×10~(-3)mm~2/s] and WHO Ⅱ[(1.26±0.32)×10~(-3)mm~2/s (P=0.008, P＜0.001)]. The ADC value of WHO Ⅲ was lower than that of WHO Ⅱ (P=0.003). The FA value of WHO Ⅳ (0.18±0.06) was higher than that of WHO Ⅱ (0.15±0.06) (P=0.046). No significance of FA was found between WHO Ⅲ (0.15±0.10) and Ⅱ, nor WHO Ⅳ and Ⅲ. Conclusion ADC and FA value can distinguish different grade gliomas. It is useful in deciding the surgical strategy and predicting the patient's prognosis.