The aim of the present study was to develop predictive models using clinical features and MRI texture features for distinguishing between growth hormone deficiency (GHD) and idiopathic short stature (ISS) in children with short stature. This retrospective study included 362 children with short stature from Children's Hospital of Hebei Province. GHD and ISS were identified via the GH stimulation test using arginine. Overall, there were 190 children with GHD and 172 with ISS. A total of 57 MRI texture features were extracted from the pituitary gland region of interest using C++ language and Matlab software. In addition, the laboratory examination data were collected. Receiver operating characteristic (ROC) regression curves were generated for the predictive performance of clinical features and MRI texture features. Logistic regression models based on clinical and texture features were established for discriminating children with GHD and ISS. Two clinical features [IGF‑1 (insulin growth factor‑1) and IGFBP‑3 (IGF binding protein‑3) levels] were used to build the clinical predictive model, whereas the three best MRI textures were used to establish the MRI texture predictive model. The ROC analysis of the two models revealed predictive performance for distinguishing GHD from ISS. The accuracy of predicting ISS from GHD was 64.5% in ROC analysis [area under the curve (AUC), 0.607; sensitivity, 57.6%; specificity, 72.1%] of the clinical model. The accuracy of predicting ISS from GHD was 80.4% in ROC analysis (AUC, 0.852; sensitivity, 93.6%; specificity, 65.8%) of the MRI texture predictive model. In conclusion, these findings indicated that a texture predictive model using MRI texture features was superior for distinguishing children with GHD from those with ISS compared with the model developed using clinical features.
To investigate the incidence, molecular features and clinical significance of CCAAT/enhancer binding protein alpha (CEBPA) gene mutation in patients with acute myeloid leukemia (AML).Mutation analysis of the entire coding region of CEBPA gene in 206 de novo AML patients was performed by using polymerase chain reaction (PCR) followed by sequence analysis and fragment length analysis.Of 206 AML patients, 31 (15%) had CEBPA gene mutations, including 23 with double mutations (duCEBPA) and 8 with single mutation (siCEBPA). CEBPA gene mutations presented mainly in M2 subtype or intermediate risk patients. As compared with those with wild type CEBPA gene, patients with mutated CEBPA gene were of higher white blood cell counts [20.92(0.86-351.43)× 10(9)//L vs 8.17(0.47-295.2) × 10(9)/L, P=0.003], higher hemoglobin levels [97.5(51-128) g/L vs 80.5(13-153) g/L, P=0.015] and lower platelet counts [27.5(5-81)× 10(9)//L vs 44(3-548)× 10(9)/L, P=0.004]. Patients with CEBPA gene mutation had higher complete remission (CR) rate than those with wild type (P=0.009). While co-existing of NPM1 and siCEBPA mutations was observed in M5 subtype (2/8, 25%), NPM1 gene mutation was not present in any patients with duCEBPA mutation (0/23, 0%). Dynamic tracking analysis showed that CEBPA mutations disappeared at CR, and the same mutations re-appeared at relapse. When compared to sequence analysis, the coincidence rate of CEBPA mutations detected by fragment length analysis was 100% (54/54).CEBPA gene mutation is a recurring genetic change in AML patients and has a certain correlation with clinical and laboratory features. It could be reliably used as a potential marker for minimal residual disease follow up. The prognostic significance of co-existing of siCEBPA with NPM1 mutations in patients with AML-M5 subtype needs further investigation.
Human avian-origin influenza A (H7N9) virus is a novel subtype of avian influenza A virus, which firstly emerged at the end of March 2013 in Shanghai and Anhui province. It rapidly spread in China within a short time, causing high morbidity and mortality, arousing fear and panic in public, and attracting extensive attention worldwide. The analysis of human H7N9 avian influenza virus gene shows a high affinity for α-2, 6-linked sialic acid receptors expressed on human respiratory epithelial cells. At present, the sporadic cases of human H7N9 avian influenza virusare occasionally reported with an epidemic peaksat winter and spring. This article reviews clinical features, epidemiology and genetic characteristics of H7N9 avian influenza virus, proving scientific evidences foreffective prevention and control of H7N9 virus infection.
Key words:
Influenza A Virus, H7N9 subtype; Clinical feature; Epidemiology; Genetic characteristics
Objectives As understanding of the pathogenesis and treatment strategies for osteoarthritis (OA) evolves, it is important to understand how patient factors are also changing. Our goal was to examine demographics and known risk factors of patients with OA over time. Design Open-cohort retrospective study using electronic health records. Setting Large US integrated health system with 7 hospitals, 2.6 million outpatient clinic visits and 97 300 hospital admissions annually in a mostly rural geographic region. Participants Adult patients with at least two encounters and a diagnosis of OA or OA-relevant surgery between 2001 and 2018. Because of geographic region, over 96% of participants were white/Caucasian. Interventions None. Primary and secondary outcome measures Descriptive statistics were used to examine age, sex, body mass index (BMI), Charlson Comorbidity Index, major comorbidities and OA-relevant prescribing over time. Results We identified 290 897 patients with OA. Prevalence of OA increased significantly from 6.7% to 33.5% and incidence increased 37% (from 3772 to 5142 new cases per 100 000 patients per year) (p<0.0001). Percentage of females declined from 65.3% to 60.8%, and percentage of patients with OA in the youngest age bracket (18–45 years) increased significantly (6.2% to 22.7%, p<0.0001). The percentage of patients with OA with BMI ≥30 remained above 50% over the time period. Patients had low comorbidity overall, but anxiety, depression and gastro-oesophageal reflux disease showed the largest increases in prevalence. Opioid use (tramadol and non-tramadol) showed peaks followed by declines, while most other medications increased slightly in use or remained steady. Conclusions We observe increasing OA prevalence and a greater proportion of younger patients over time. With better understanding of how characteristics of patients with OA are changing over time, we can develop better approaches for managing disease burden in the future.
Objective: To determine the association between baseline ADAMTS13 (a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13) antigen level and 90-days clinical outcome in patients with acute ischemic stroke (AIS) receiving recombinant tissue plasminogen activator (rt-PA) thrombolysis. Methods: AIS patients receiving rt-PA thrombolytic therapy from Huashan Hospital and Fifth People's Hospital of Shanghai, China in 2014-2017 were consecutively enrolled. Blood samples for ADAMTS13 tests were drawn before intravenous rt-PA administration. The primary outcome was defined as the poor functional outcome of modified Rankin Scale (mRS) >2 at 90-days follow-up. Secondary outcome was hemorrhagic transformation after rt-PA therapy. Moreover, for AIS patients with large vessel occlusion from Huashan Hospital, the association between baseline ADAMTS13 level and cerebral collateral flow was also assessed. Results: A total of 163 AIS patients (median age 66.2 years, 63.8% male) were included. Baseline ADAMTS13 level was marginally decreased in patients with 90-days mRS >2 than in those with mRS ≤ 2 (mean ± SD, 1458.4 ± 323.3 vs. 1578.3 ± 395.4 ng/mL, p = 0.046). However, no difference of ADAMTS13 level was found after adjusting for age, history of atrial fibrillation, glycemia, baseline NIHSS score and TOAST classification (p = 0.43). We found no difference in ADAMTS13 level between patients with parenchymal hemorrhage after rt-PA therapy and those without (p = 0.44). Among 66 patients with large vessel occlusion, there was also no association between ADAMTS13 level and cerebral collateral flow in multivariable analyses. Conclusion: In our cohort, blood ADAMTS13 antigen level before rt-PA therapy could not be used as an independent biomarker in predicting clinical outcomes of AIS patients at 90 days.
Abstract Background Enterovirus 71 (EV71) is the most commonly implicated causative agent of severe outbreaks of paediatric hand, foot, and mouth disease (HFMD).VP1 protein, a capsid protein of EV71, is responsible for the genotype of the virus and is essential for vaccine development and effectiveness. However, the genotypes of EV71 isolates in China are still not completely clear. Methods The VP1 gene sequences of 3712 EV71 virus strains from China, excluding repetitive sequences and 30 known EV71 genotypes as reference strains, between 1986 and 2019 were obtained from GenBank. Phylogenetic tree, amino acid homology, genetic variation and genotype analyses of the EV71VP1 protein were performed with MEGA 6.0 software. Results The amino acid identity was found to be 88.33%–100% among the 3712 EV71 strains, 93.47%–100% compared with vaccine strain H07, and 93.04%–100% compared with vaccine strains FY7VP5 or FY-23 K-B. Since 2000, the prevalent strains of EV71 were mainly of the C4 genotype. Among these, the C4a subgenotype was predominant, followed by the C4b subgenotype; other subgenotypes appeared sporadically between 2005 and 2018 in mainland China. The B4 genotype was the main genotype in Taiwan, and the epidemic strains were constantly changing. Some amino acid variations in VP1 of EV71 occurred with high frequencies, including A289T (20.99%), H22Q (16.49%), A293S (15.95%), S283T (15.11%), V249I (7.76%), N31D (7.25%), and E98K (6.65%). Conclusion The C4 genotype of EV71 in China matches the vaccine and should effectively control EV71. However, the efficacy of the vaccine is partially affected by the continuous change in epidemic strains in Taiwan. These results suggest that the genetic characteristics of the EV71-VP1 region should be continuously monitored, which is critical for epidemic control and vaccine design to prevent EV71 infection in children.
The highly competitive information age requires investors to quickly, accurately and comprehensively grasp the financial status, operating conditions and future development of listed companies. This paper relies on the fuzzy c-mean (FCM) clustering algorithm, establishes a financial analysis index system through cluster analysis, weight setting, membership calculation and consistency test, and evaluates the five capabilities of a listed company' s profitability and debt repayment. Empirical analysis aims to verify the practicality and effectiveness of the model.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)