Objective:To observe the genetic variation of SH2B3 in patients with myeloid neoplasms.Methods:The results of targeted DNA sequencing associated with myeloid neoplasms in the Department of Hematology,Xuanwu Hospital,Capital Medical University from November 2017 to November 2022 were retrospectively analyzed,and the patients with SH2B3 gene mutations were identified.The demographic and clinical data of these patients were collected,and characteristics of SH2B3 gene mutation,co-mutated genes and their correlations with diseases were analyzed.Results:The sequencing results were obtained from 1 005 patients,in which 19 patients were detected with SH2B3 gene mutation,including 18 missense mutations(94.74％),1 nonsense mutation(5.26％),and 10 patients with co-mutated genes(52.63％).Variant allele frequency(VAF)ranged from 0.03 to 0.66.The highest frequency mutation was p.Ile568Thr(5/19,26.32％),with an average VAF of 0.49,involving 1 case of MDS/MPN-RS(with SF3B1 mutation),1 case of MDS-U(with SF3B1 mutation),1 case of aplastic anemia with PNH clone(with PIGA and KMT2A mutations),2 cases of MDS-MLD(1 case with SETBP1 mutation).The other mutations included p.Ala567Thr in 2 cases(10.53％),p.Arg566Trp,p.Glu533Lys,p.Met437Arg,p.Arg425Cys,p.Glu314Lys,p.Arg308*,p.Gln294Glu,p.Arg282Gln,p.Arg175Gln,p.Gly86Cys,p.His55Asn and p.Gln54Pro in 1 case each.Conclusion:A wide distribution of genetic mutation sites and low recurrence of SH2B3 is observed in myeloid neoplasms,among of them,p.Ile568Thr mutation is detected with a higher incidence and often coexists with characteristic mutations of other diseases.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Child ; Humans ; Factor VII Deficiency

Objective:To investigate the level of self-management and daily physical activity in patients with type 2 diabetes mellitus (T2DM) of Zang and Han nationalities in Tibetan, China, and to compare the difference in daily management between T2DM patients of Zang and Han nationalities, to develop reasonable and effective chronic disease management strategies for long-term out-of-hospital management of T2DM patients of Zang nationalities.Methods:A total of 265 T2DM patients with glycosylated hemoglobin (HbA1c) ≥ 7% who were admitted to the Endocrinology Ward of the Hospital of Chengdu Office of People's Government of Tibet Autonomous Region from November 2020 to April 2021 and who were from different regions of Tibet were included in this study according to inclusion and exclusion criteria. The general data of all included patients were collected. Glucose and lipid metabolism-related indicators were determined. The Generalized Diabetes Self-Management Efficacy Scale and International Physical Activity Questionnaires (IPAQ) were used to evaluate patients' levels of self-management and daily physical activity.Results:The hemoglobin level in T2DM patients of Zang nationality was (154.09 ± 24.11) g/L, which was significantly higher than that in T2DM patients of Han nationality ( P < 0.05). The total cholesterol, fasting blood glucose, and low-density lipoprotein in T2DM patients of Zang nationality were (4.63 ± 1.41) mmol/L, (7.94 ± 2.19) mmol/L, and (2.75 ± 1.11) mmol/L, respectively, which significantly higher compared with T2DM patients of Han nationality (all P < 0.05). Compared with T2DM patients of Han nationality, T2DM patients of Zang nationality had lower self-management scores (81.40 ± 15.44) points, diet control scores (17.26 ± 4.97) points, physical exercise scores (11.67 ± 4.42) points, prevention and treatment of high and low blood sugar score (12.21 ± 5.72) points. The differences were statistically significant (all P < 0.05). Moderate-intensity physical activity was a significant difference between T2DM patients of Zang and Han nationalities ( P < 0.05). Conclusion:Compared with T2DM patients of Han nationality, T2DM patients of Zang nationality have lower overall self-management levels, including diet control, physical exercise, prevention and management of high and low blood glucose, and moderate-intensity physical activity. Targeted individualized education should be carried out according to the Tibetan cultural characteristics, to further develop an intervention method and an out-of-hospital management strategy for chronic disease, which are suitable for T2DM patients of Zang nationality.

Humans ; Infant ; Female ; Dandy-Walker Syndrome/diagnosis* ; Tomography, X-Ray Computed ; Craniocerebral Trauma/complications*

Abstract: Objective　To collect and organize malaria case data in Hubei Province from 2017 to 2021, compare and analyze the malaria epidemic characteristics on the before and after malaria elimination, and provide scientific support for Hubei Province to further optimize the comprehensive strategies to prevent re-transmission after the elimination of malaria. Methods The study was conducted by collecting the data of reported malaria cases of Hubei during 2017-2021 from the Infectious Disease Surveillance Reporting and Management System, and conducting the epidemiological characteristics of malaria on pre-elimination (2017-2019) and post-elimination (2020-2021). Results A total of 429 cases of imported malaria were reported in Hubei Province from 2017 to 2021, and the malaria epidemic showed an obvious trend of rising first and then falling. On the pre-malaria elimination, 374 malaria cases were reported, including 262 cases of P.falciparum (70.05%); on the post-malaria elimination, 55 malaria cases were reported, including 25 cases of P.falciparum (45.45%). There was a statistically significant difference in the proportion of infections caused by the four types of malaria parasites before and after the elimination of malaria (χ2=14.248, P<0.05). On the pre-malaria elimination, the peak of disease onset mainly occurred in January, July, and November; on the post-malaria elimination, the peak of disease onset mainly occurred in January to February, and December. Both before and after malaria elimination, the reported cases were mainly concentrated in Wuhan, Yichang, Huangshi, Xiangyang, Shiyan and Huanggang, but the range of cases showed a clear trend of narrowing. Before and after malaria elimination, malaria cases in Hubei Province were mainly among young and middle-aged males aged 30-49. The proportions of workers and migrant workers increased from 37.70% and 9.09% before the elimination to 50.91% and 18.18% after the elimination, respectively, with a statistically significant difference (χ2=17.839, P<0.05). The percentage of interval from onset of illness to initial diagnosis ≥ 5d decreased from 21.66% before the elimination to 10.91% after the elimination (χ2=6.448, P<0.05). The percentage of definitive diagnosis of malaria at initial diagnosis in town clinic increased from 18.18% before the elimination to 50.00% after the elimination. The proportion of malaria cases diagnosed by county-level medical institutions increased from 22.73% before the elimination to 34.55% after elimination. There was no statistically significant difference in the proportion of malaria cases diagnosed by medical institutions at all levels before and after the elimination of malaria (χ2=5.630, P>0.05). The proportion of cases with the interval between initial diagnosis and diagnosis within 24h increased from 43.85% before the elimination to 70.91% after the elimination. There was a statistically significant difference in the proportion of cases with the interval between initial diagnosis and diagnosis before and after the elimination of malaria (χ2=14.006, P<0.05). Before and after malaria elimination, all reported cases were mainly imported from African countries. Conclusions There are imported malaria cases reported every year in Hubei Province before and after the elimination of malaria, which poses a great challenge to the prevention of re-transmission. Therefore, it is necessary to strengthen the surveillance system, detect and standardize the treatment of imported malaria cases in a timely manner, conduct targeted retransmission risk surveys and assessments, and consolidate the achievements of malaria elimination.

Objective:To investigate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with maintenance hemodialysis (MHD) in Jiangsu province during SARS-CoV-2 pandemic in China from December 7, 2022 to January 27, 2023, and to analyze the influencing factors of all-cause death.Methods:It was a multi-center cross-sectional investigation. Structured questionnaire was used to collect patient information by medical staff of each hemodialysis center (room) as investigators. Part of the demography data and laboratory examination data came from the Jiangsu Province Hemodialysis Data Information System. MHD patients from hemodialysis centers (rooms) at all levels of medical institutions and independent hemodialysis institutions in Jiangsu province during the outbreak of SARS-CoV-2 infection were included, and the clinical characteristics and all-cause mortality of confirmed and suspected cases of SARS-CoV-2 infection were analyzed.Results:Questionnaire surveys and data analysis on 57 278 patients in 407 hemodialysis centers (rooms) were completed, accounting for 90.41% of the total number of MHD patients (63 357 cases) in Jiangsu province during the same period. There were 24 038 cases (41.97%) of SARS-CoV-2 infection and 14 805 cases (25.85%) of suspected infection, which were widely distributed in all dialysis centers in Jiangsu province. After clinical classification of 38 843 confirmed and suspected SARS-CoV-2 infection cases, 3 662 cases were severe and critical cases, accounting for 9.43% of the infected and suspected cases. Among the patients who had completed the questionnaires, there were 1 812 all-cause deaths, with an all-cause mortality rate of 3.16%. Multivariate logistic regression analysis showed that elderly (taking ≤50 years as a reference, 51-59 years: OR=1.583, 95% CI 1.279-1.933, P=0.001; 60-69 years: OR=3.972, 95% CI 3.271-4.858, P<0.001; 70-79 years: OR=7.236, 95% CI 5.917-8.698, P<0.001; ≥80 years: OR=11.738, 95% CI 9.459-14.663, P<0.001), male ( OR=1.371, 95% CI 1.229-1.529, P<0.001), and co-infection with hepatitis B virus (HBV) (positive serum HBV surface antigen, OR=0.629, 95% CI 0.484-0.817, P<0.001) were independent influencing factors for all cause mortality. Receiver-operating characteristic curve analysis showed that the area under the curve for male, age and current HBV infection prediction of all-cause death was 0.529 ( P<0.001), 0.724 ( P<0.001) and 0.514 ( P=0.042), respectively, and the cut-off value for age prediction of all-cause death was 65.5 years old. Compared with patients without HBV infection, MHD patients with HBV infection significantly reduced the proportion of severe and critically ill patients, all-cause hospitalizations and all cause deaths when infected with SARS-CoV-2 (4.99% vs. 6.41%, χ2=6.136, P=0.013; 8.90% vs. 11.44%, χ2=11.662, P<0.001; 2.01% vs. 3.37%, χ2=10.713, P=0.001, respectively). Conclusion:The MHD patients in Jiangsu province are susceptible to SARS-CoV-2. Elderly age and male gender are independent risk factors for death in MHD patients during the epidemic, while the HBV infection may be a protective factor for death of MHD patients infected with SARS-CoV-2.

The quality difference of pharmaceutical excipients from different sources affects the molding properties of the powder, resulting in changes in the properties of the final product. In this study, the critical quality attributes of hydroxypropyl methylcellulose (HPMC) with different specifications from two manufacturers (manufacturer A and manufacturer B) were characterized including particle size, physical morphology, viscosity and powder physical quality attributes. Aminophylline, diclofenac sodium, and metformin hydrochloride were utilized as model drugs with different solubility to prepare sustained-release tablets, and the effect of HPMC from different sources on drug release of sustained-release tablets in vitro was investigated. The results showed that HPMC with the same viscosity specification from different sources had outstanding differences in the physicochemical properties (including particle size, physical morphology, viscosity, dimension, compressibility and powder flow), which could change the hardness and friability of the sustained-release tablets. The differences in the physicochemical properties of HPMC had different effects on the dissolution of different sustained-release tablets in vitro. It had no significant effect on the release of easily soluble aminophylline and metformin hydrochloride, but had a greater impact on the release of poorly soluble diclofenac sodium. Compared with manufacturer A, the sustained-release effect of matrix tablets prepared by HPMC from manufacturer B was more excellent. The results of this study will provide a theoretical reference on selecting the appropriate excipients for formulation design.

OBJECTIVES: To study the correlation between CT imaging features of acceleration and deceleration brain injury and injury degree. METHODS: A total of 299 cases with acceleration and deceleration brain injury were collected and divided into acceleration brain injury group and deceleration brain injury group according to the injury mechanism. Subarachnoid hemorrhage (SAH) and Glasgow coma scale (GCS), combined with skull fracture, epidural hematoma (EDH), subdural hematoma (SDH) and brain contusion on the same and opposite sides of the stress point were selected as the screening indexes. χ² test was used for primary screening, and binary logistic regression analysis was used for secondary screening. The indexes with the strongest correlation in acceleration and deceleration injury mechanism were selected. RESULTS: χ² test showed that skull fracture and EDH on the same side of the stress point; EDH, SDH and brain contusion on the opposite of the stress point; SAH, GCS were correlated with acceleration and deceleration injury (P<0.05). According to binary logistic regression analysis, the odds ratio (OR) of EDH on the same side of the stress point was 2.697, the OR of brain contusion on the opposite of the stress point was 0.043 and the OR of GCS was 0.238, suggesting there was statistically significant (P<0.05). CONCLUSIONS EDH on the same side of the stress point, brain contusion on the opposite of the stress point and GCS can be used as key indicators to distinguish acceleration and deceleration injury mechanism. In addition, skull fracture on the same side of the stress point, EDH and SDH on the opposite of the stress point and SAH were relatively weak indicators in distinguishing acceleration and deceleration injury mechanism.
Brain Contusion ; Brain Injuries/diagnostic imaging* ; Hematoma, Epidural, Cranial ; Hematoma, Subdural/etiology* ; Humans ; Logistic Models ; Skull Fractures/diagnostic imaging* ; Tomography, X-Ray Computed ; Wounds, Nonpenetrating/diagnostic imaging*

OBJECTIVES: To apply the convolutional neural network (CNN) Inception_v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology in forensic brain injury mechanism inference. METHODS: CT images from 190 cases with acceleration and deceleration brain injury were selected as the experimental group, and CT images from 130 normal brain cases were used as the control group. The above-mentioned 320 imaging data were divided into training validation dataset and testing dataset according to random sampling method. The model classification performance was evaluated by the accuracy rate, precision rate, recall rate, F1-value and AUC value. RESULTS: In the training process and validation process, the accuracy rate of the model to classify acceleration injury, deceleration injury and normal brain was 99.00% and 87.21%, which met the requirements. The optimized model was used to test the data of the testing dataset, the result showed that the accuracy rate of the model in the test set was 87.18%, and the precision rate, recall rate, F1-score and AUC of the model to recognize acceleration injury were 84.38%, 90.00%, 87.10% and 0.98, respectively, to recognize deceleration injury were 86.67%, 72.22%, 78.79% and 0.92, respectively, to recognize normal brain were 88.57%, 89.86%, 89.21% and 0.93, respectively. CONCLUSIONS Inception_v3 model has potential application value in distinguishing acceleration and deceleration injury based on brain CT images, and is expected to become an auxiliary tool to infer the mechanism of head injury.
Brain/diagnostic imaging* ; Brain Injuries ; Deep Learning ; Humans ; Neural Networks, Computer