Attention deficit hyperactivity disorder is a common neurodevelopmental disorder characterized by persistent attention deficit, hyperactivity, and impulsive behaviors that are not consistent with developmental age.Academic and vocational difficulties, social exclusion, and delinquent behaviors are manifested in daily life.It is also commonly accompanied by psychiatric problems.At the same time, mental problems are common, and the overall quality of life is greatly affected, placing a heavy burden on society as well as the family.International attention deficit hyperactivity disorder experts have developed a common and comprehensive International Classification of Functioning, Disability and Health core set of classifications for assessing individual functioning in attention deficit hyperactivity disorder.

Objective This study used resting-state functional magnetic resonance imaging(rs-fMRI)to investigate the changes of local brain regional homogeneity in patients with depression and childhood maltreatment,and we calculated the relationship between altered ReHo values and the severity of childhood maltreatment.Methods 25 patients with depression and childhood maltreatment,25 patients with depression without childhood maltreatment,and 25 age,gender,and education-matched healthy controls were prospectively enrolled.All subjects underwent resting-state functional magnetic resonance imaging and ReHo analysis.One-way analysis of variance was used to compare the group differences,along with multiple comparison correction.Pearson correlation analysis was used to explore the relationship between region ReHo values with clinical scales.Results Compared with the group of depression without childhood maltreatment,the abnormal brain regions of depression with childhood maltreatment are mainly located in the dorsolateral prefrontal cortex,cerebellum,parietal gyrus,and precentral gyrus.The ReHo values of depression with childhood maltreatment in the left cerebellum and the left dorsolateral prefrontal cortex are correlated with the severity of childhood maltreatment.Conclusions Depression with childhood mal-treatment is associated with changes in local spontaneous brain activity,which are correlated with the severity of childhood maltreatment.The brain changes in the dorsolateral prefrontal cortex and cerebellum may explain the neurobiological mechanisms of depression with childhood maltreatment.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.

Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.

Objective:To investigate the efficacy and adverse reactions of moderately hypofractionated intensity modulated radiation therapy (IMRT) combined with androgen deprivation therapy (ADT) for locally advanced prostate cancer (LAPC).Methods:This study retrospectively analyzed the medical records of 40 LAPC patients who were admitted in The Second Hospital of Dalian Medical University during 2014-2020. The planning gross target volume (PGTV) dose for prostate gland and seminal vesicle gland was 64.8-70.0 Gy/25-28 f, 2.4-2.8 Gy/f and the dose of PGTVnd in 20 cases with positive pelvic lymph nodes was 60.0-64.4 Gy/25-28 f, 2.3-2.4 Gy/f. The dose of planning target volume (PTV) for the drainage area of pelvic lymph nodes was 45.0-50.4 Gy/25-28 f. The enrolled patients were treated with long-term ADT, including neoadjuvant, simultaneous, and adjuvant therapies. The efficacy and adverse reactions were evaluated. The prognostic factors affecting the biochemical failure-free survival (BFFS) were analyzed.Results:The median follow-up time was 31 months. The 2- and 3-year overall survival (OS) rates were 100% and 96.9%, respectively. The 1-, 2-, and 3-year BFFS rates were 90%, 76.8% and 72%, respectively. The 1-, 2-, and 3-year distant metastasis-free survival (DMFS) rates were 92.2%, 82.8% and 75.1%, respectively. Gleason (GS) score ( χ2=10.00, P < 0.05) and adjacent tissue invasion ( χ2=8.85, P<0.05) were prognostic factors related to BFFS for LAPC. Adjacent tissue invasion and GS 9-10 were independent poor prognostic factors. The incidence of acute urinary adverse reaction and rectal injury (grade≥2) was 7.5% and 20%, respectively. The incidence of late urinary adverse reaction and rectal injury (grade≥2) was 12.5% and 17.5%, respectively. Adverse reactions at grade 3-4 did not occur. Conclusions:The moderately hypofractionated IMRT combined with ADT is feasible for LAPC treatment, achieving satisfactory survival effects. 70 Gy/25-28 f, 2.5-2.8 Gy/f is a safe and effective moderate hypofraction scheme. Adjacent tissue invasion and GS score are prognostic factors related to BFFS for LAPC.

Antipyretic-analgesics are currently one of the most prescribed drugs in children.The clinical application of antipyretic-analgesics for children in our country still have irrational phenomenon, which affects the therapeutic effect and even poses hidden dangers to the safety of children.In this paper, suggestions were put forward from the indications, dosage form/route, dosage suitability, pathophysiological characteristics of children with individual differences and drug interactions in the symptomatic treatment of febrile children, so as to provide reference for the general pharmacists when conducting prescription review.

Objective:To evaluate the impact of artificial intelligence (AI) system on the diagnosis rate of precancerous state of gastric cancer.Methods:A single center self-controlled study was conducted under the premise that such factors were controlled as mainframe and model of the endoscope, operating doctor, season and climate, and pathology was taken as the gold standard. The diagnosis rate of precancerous state of gastric cancer, including atrophic gastritis (AG) and intestinal metaplasia (IM) in traditional gastroscopy (from September 1, 2019 to November 30, 2019) and AI assisted endoscopy (from September 1, 2020 to November 15, 2020) in the Eighth Hospital of Wuhan was statistically analyzed and compared, and the subgroup analysis was conducted according to the seniority of doctors.Results:Compared with traditional gastroscopy, AI system could significantly improve the diagnosis rate of AG [13.3% (38/286) VS 7.4% (24/323), χ2=5.689, P=0.017] and IM [33.9% (97/286) VS 26.0% (84/323), χ2=4.544, P=0.033]. For the junior doctors (less than 5 years of endoscopic experience), AI system had a more significant effect on the diagnosis rate of AG [11.9% (22/185) VS 5.8% (11/189), χ2=4.284, P=0.038] and IM [30.3% (56/185) VS 20.6% (39/189), χ2=4.580, P=0.032]. For the senior doctors (more than 10 years of endoscopic experience), although the diagnosis rate of AG and IM increased slightly, the difference was not statistically significant. Conclusion:AI system shows the potential to improve the diagnosis rate of precancerous state of gastric cancer, especially for junior endoscopists, and to reduce missed diagnosis of early gastric cancer.

Blood-brain barrier (BBB) damage after ischemia significantly influences stroke outcome. Compound LFHP-1c was previously discovered with neuroprotective role in stroke model, but its mechanism of action on protection of BBB disruption after stroke remains unknown. Here, we show that LFHP-1c, as a direct PGAM5 inhibitor, prevented BBB disruption after transient middle cerebral artery occlusion (tMCAO) in rats. Mechanistically, LFHP-1c binding with endothelial PGAM5 not only inhibited the PGAM5 phosphatase activity, but also reduced the interaction of PGAM5 with NRF2, which facilitated nuclear translocation of NRF2 to prevent BBB disruption from ischemia. Furthermore, LFHP-1c administration by targeting PGAM5 shows a trend toward reduced infarct volume, brain edema and neurological deficits in nonhuman primate

Objective:To study the radiotherapy sensitization of recombinant human endostatin in patients with cervical cancer.Methods:Sixty patients with advanced cervical cancer (stage ⅡB to ⅣA) from July 2017 to November 2018 in the Second Affiliated Hospital of Dalian Medical University were selected. The patients were divided into experimental group and control group according to random number table with 30 cases each. The patients in experimental group were treated with recombinant human endostatin combined with concurrent chemoradiotherapy, while the patients in control group only received chemoradiotherapy. The serum levels of vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) were measured 1 week before treatment and 1 week after treatment, and short-term efficacy was evaluated 3 months after treatment.Results:The objective remission rate (ORR) and disease control rate (DCR) in experimental group were higher than those in control group: 93% (28/30) vs. 87% (26/30) and 97% (29/30) vs. 93% (28/30), but there were no statistical differences between 2 groups ( P>0.05). There was no statistically significant difference in the occurrence of adverse reactions between 2 groups ( P>0.05). Compared with that before treatment, the serum VEGF and bFGF after treatment were significantly lower, experimental group: (88.07 ± 37.53) ng/L vs. (227.27 ± 142.61) ng/L and (21.03 ± 5.75) ng/L vs. (38.34 ± 18.17) ng/L, control: (120.04 ± 81.22) ng/L vs. (197.34 ± 142.41) ng/L and (24.04 ± 7.29) ng/L vs. (39.78 ± 13.35) ng/L, and there were statistical differences ( P<0.01); after treatment, the serum VEGF and bFGF in experimental group were lower than those in control group, but there were no statistical difference between 2 groups ( P>0.05). Conclusions:For patients with advanced cervical cancer, recombinant human endostatin combined with concurrent chemoradiotherapy can further decrease the serum levels of VEGF and bFGF, improve the sensitivity of chemoradiotherapy, and enhance the short-term efficacy.

Objective:To assess the influence of an artificial intelligence (AI) -assisted diagnosis system on the performance of endoscopists in diagnosing gastric cancer by magnifying narrow banding imaging (M-NBI).Methods:M-NBI images of early gastric cancer (EGC) and non-gastric cancer from Renmin Hospital of Wuhan University from March 2017 to January 2020 and public datasets were collected, among which 4 667 images (1 950 images of EGC and 2 717 of non-gastric cancer)were included in the training set and 1 539 images (483 images of EGC and 1 056 of non-gastric cancer) composed a test set. The model was trained using deep learning technique. One hundred M-NBI videos from Beijing Cancer Hospital and Renmin Hospital of Wuhan University between 9 June 2020 and 17 November 2020 were prospectively collected as a video test set, 38 of gastric cancer and 62 of non-gastric cancer. Four endoscopists from four other hospitals participated in the study, diagnosing the video test twice, with and without AI. The influence of the system on endoscopists′ performance was assessed.Results:Without AI assistance, accuracy, sensitivity, and specificity of endoscopists′ diagnosis of gastric cancer were 81.00%±4.30%, 71.05%±9.67%, and 87.10%±10.88%, respectively. With AI assistance, accuracy, sensitivity and specificity of diagnosis were 86.50%±2.06%, 84.87%±11.07%, and 87.50%±4.47%, respectively. Diagnostic accuracy ( P=0.302) and sensitivity ( P=0.180) of endoscopists with AI assistance were improved compared with those without. Accuracy, sensitivity and specificity of AI in identifying gastric cancer in the video test set were 88.00% (88/100), 97.37% (37/38), and 82.26% (51/62), respectively. Sensitivity of AI was higher than that of the average of endoscopists ( P=0.002). Conclusion:AI-assisted diagnosis system is an effective tool to assist diagnosis of gastric cancer in M-NBI, which can improve the diagnostic ability of endoscopists. It can also remind endoscopists of high-risk areas in real time to reduce the probability of missed diagnosis.