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1.
Front Endocrinol (Lausanne) ; 13: 839895, 2022.
Article in English | MEDLINE | ID: covidwho-1785328

ABSTRACT

Objective: To compared the incidence rates and clinical features of precocious girls before and during the COVID-19 pandemic among Shanghai school-aged girls, and explored the potential mechanisms. Methods: This cross-sectional study collected medical data about precocious girls between 2016 and 2020 from Shanghai Children's Medical Center. Data of inpatient precocious girls from March to August in 2016-2019 (n=246) and 2020 (n=237) were collected. Subjects with abnormal brain and pituitary gland MRI reports, other endocrine diseases or chronic diseases were excluded. Finally, 209 precocious girls were included in the 2016-2019 group and 191 precocious girls were include in the 2020 group. Monthly incidence rates and clinical features were compared between before and during the COVID-19 pandemic. Linear regression models were used to examine the associations between biomarkers to explore the potential mechanisms. Results: Monthly incidence rates of precocious puberty in outpatient girls from March to December 2020 (0.44-1.36%) and in inpatient girls from March to August 2020 (27.04-47.83%) were higher than those in 2016-2019 (0.30-0.52% and 10.53-18.42%, respectively). Serum concentrations of GnRH were higher in the 2020 group than in the 2016-2019 group (2.81 vs 1.99 mg/L). Serum concentrations of MKRN3 (1.02 vs 1.93 ng/ml) and ghrelin (0.38 vs 0.88 ng/ml) were lower in the 2020 group than in the 2016-2019 group. Moreover, the serum concentration of ghrelin was positively associated with the serum concentration of MKRN3 [ß=0.891 (95% CI, 0.612, 1.171); p<0.001]. Conclusions: These findings suggest an increased incidence of precocious puberty during the COVID-19 pandemic among Shanghai school-aged girls, which may be associated with decreased serum concentrations of MKRN3 and ghrelin, and indicated ghrelin as a potential regulatory mechanism of puberty.


Subject(s)
COVID-19 , Puberty, Precocious , COVID-19/epidemiology , Child , China/epidemiology , Cross-Sectional Studies , Female , Ghrelin , Humans , Pandemics , Puberty, Precocious/epidemiology , Ubiquitin-Protein Ligases
2.
Sci Rep ; 11(1): 18048, 2021 09 10.
Article in English | MEDLINE | ID: covidwho-1402121

ABSTRACT

Coronavirus 2019 (COVID-19) is a new acute respiratory disease that has spread rapidly throughout the world. In this paper, a lightweight convolutional neural network (CNN) model named multi-scale gated multi-head attention depthwise separable CNN (MGMADS-CNN) is proposed, which is based on attention mechanism and depthwise separable convolution. A multi-scale gated multi-head attention mechanism is designed to extract effective feature information from the COVID-19 X-ray and CT images for classification. Moreover, the depthwise separable convolution layers are adopted as MGMADS-CNN's backbone to reduce the model size and parameters. The LeNet-5, AlexNet, GoogLeNet, ResNet, VGGNet-16, and three MGMADS-CNN models are trained, validated and tested with tenfold cross-validation on X-ray and CT images. The results show that MGMADS-CNN with three attention layers (MGMADS-3) has achieved accuracy of 96.75% on X-ray images and 98.25% on CT images. The specificity and sensitivity are 98.06% and 96.6% on X-ray images, and 98.17% and 98.05% on CT images. The size of MGMADS-3 model is only 43.6 M bytes. In addition, the detection speed of MGMADS-3 on X-ray images and CT images are 6.09 ms and 4.23 ms for per image, respectively. It is proved that the MGMADS-3 can detect and classify COVID-19 faster with higher accuracy and efficiency.


Subject(s)
COVID-19/diagnostic imaging , Lung/diagnostic imaging , Algorithms , Deep Learning , Humans , Neural Networks, Computer , Tomography, X-Ray Computed , X-Rays
3.
Ann Palliat Med ; 10(8): 9233-9238, 2021 08.
Article in English | MEDLINE | ID: covidwho-1399728

ABSTRACT

BACKGROUND: The optimal duration of treatment for intestinal tuberculosis (TB), which remains a common disease worldwide, has not yet been established. The proposed randomized controlled study will aim to compare the efficacy of short-term six-month with nine-month anti-TB therapy for treating intestinal TB. METHODS: This multicenter, open-label, double-blinded, randomized controlled trial conducted in the Affiliated Hangzhou Chest Hospital of Zhejiang University will include a total of 80 patients. Patients who meet the inclusion criteria will be randomly assigned to either the six-month (n=40) or nine-month (n=40) treatment group. The primary outcome will be complete response, which is defined as endoscopy displaying active lesion healing at the end of treatment. Participants will be scheduled for follow-up visits once a month in the first three months, then once every three months until the end of the treatment. The last follow-up will be one year after the treatment. Recurrence will be assessed one year after the end of treatment, which is defined as endoscopy displaying recurrent lesions after complete response. DISCUSSION: In addition to the reports of tuberculous lymphadenitis and spinal TB, there are few appropriate randomized trials for the treatment of extrapulmonary TB with appropriate clinical endpoints. We believe that the proposed randomized controlled trial will provide further data on the efficacy of short-term six-month anti-TB therapy in intestinal TB patients. TRIAL REGISTRATION: This trial will be registered on ClinicalTrial.gov.


Subject(s)
COVID-19 , Tuberculosis, Lymph Node , Humans , Multicenter Studies as Topic , Randomized Controlled Trials as Topic , SARS-CoV-2 , Treatment Outcome
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