1.Expert consensus on orthodontic treatment of patients with periodontal disease.
Wenjie ZHONG ; Chenchen ZHOU ; Yuanyuan YIN ; Ge FENG ; Zhihe ZHAO ; Yaping PAN ; Yuxing BAI ; Zuolin JIN ; Yan XU ; Bing FANG ; Yi LIU ; Hong HE ; Faming CHEN ; Weiran LI ; Shaohua GE ; Ang LI ; Yi DING ; Lili CHEN ; Fuhua YAN ; Jinlin SONG
International Journal of Oral Science 2025;17(1):27-27
Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans
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Consensus
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Orthodontics, Corrective/standards*
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Periodontal Diseases/complications*
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Tooth Movement Techniques/methods*
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Practice Guidelines as Topic
2.Ketamine Upregulates the Glutamatergic Synaptic Pathway and Induces Zebrafish Addiction
Song QIAN ; Si-Qi ZHU ; Jin-Zhong XU ; Cheng-Yu FANG ; Yin-Ze CHAI ; Yang LUO ; Kai WANG ; Yi-Zhou LIU
Chinese Journal of Biochemistry and Molecular Biology 2024;40(8):1153-1160
Ketamine,an antagonist of the glutamate N-methyl-D-aspartate(NMDA)receptor,is cur-rently one of the most widely abused psychoactive substances.Prolonged abuse can result in damages to various systems in the body,making it crucial to investigate the regulatory mechanism of ketamine addic-tion and screening related biomarkers.In this study,zebrafish embryos/larvae were initially exposed a-cutely to ketamine.Then,a ketamine addiction model was established in 6-month-old zebrafish through conditioned place preference(CPP)experiments.The zebrafish brain transcriptome was analyzed using RNA-seq,while qPCR and Western blotting were employed to detect the expression of key genes.Results revealed significant reductions in the spontaneous tail coiling,embryo hatching rate,and survival rate of zebrafish embryos in the ketamine-treated group compared to the control group.The distance moved also decreased significantly,from 1904.2 mm in the control group to 319.0 mm in the high dose of ketamine group(300 μmol/L).Conditional positional preference experiments demonstrated that the control ze-brafish did not exhibit significant changes in activity in the CPP tank.In contrast,the ketamine-treated group increased their activity time in the light zone of the tank from 385.2 s before training to 706.4 s af-ter training,representing a 26.8%increase(***P<0.001).This suggests a preference for ketamine stimulation in zebrafish.KEGG analysis indicated enrichment of differentially expressed genes in the neu-roactive ligand-receptor interaction pathway in the ketamine-treated samples.GSEA analysis further re-veals a significant upregulation of the glutamatergic synapse pathway(NES=1.5).In addition,compared with the control group,the mRNA levels of Grin2b and Gria2 in the ketamine group increased by 4.6 and 1.4 times,respectively,while the protein levels increased by 2.0 and 1.4 times,respectively.These findings suggest that ketamine can induce addiction in zebrafish,potentially through upregulation of the glutamatergic synaptic pathway.
3.A multicenter study of neonatal stroke in Shenzhen,China
Li-Xiu SHI ; Jin-Xing FENG ; Yan-Fang WEI ; Xin-Ru LU ; Yu-Xi ZHANG ; Lin-Ying YANG ; Sheng-Nan HE ; Pei-Juan CHEN ; Jing HAN ; Cheng CHEN ; Hui-Ying TU ; Zhang-Bin YU ; Jin-Jie HUANG ; Shu-Juan ZENG ; Wan-Ling CHEN ; Ying LIU ; Yan-Ping GUO ; Jiao-Yu MAO ; Xiao-Dong LI ; Qian-Shen ZHANG ; Zhi-Li XIE ; Mei-Ying HUANG ; Kun-Shan YAN ; Er-Ya YING ; Jun CHEN ; Yan-Rong WANG ; Ya-Ping LIU ; Bo SONG ; Hua-Yan LIU ; Xiao-Dong XIAO ; Hong TANG ; Yu-Na WANG ; Yin-Sha CAI ; Qi LONG ; Han-Qiang XU ; Hui-Zhan WANG ; Qian SUN ; Fang HAN ; Rui-Biao ZHANG ; Chuan-Zhong YANG ; Lei DOU ; Hui-Ju SHI ; Rui WANG ; Ping JIANG ; Shenzhen Neonatal Data Network
Chinese Journal of Contemporary Pediatrics 2024;26(5):450-455
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.
4.Neurodevelopment and cerebral blood flow in children aged 2-6 years with autism spectrum disorder
Jia-Bao YIN ; Gan-Yu WANG ; Gui-Qin DUAN ; Wen-Hao NIE ; Ming-Fang ZHAO ; Ting-Ting JIN
Chinese Journal of Contemporary Pediatrics 2024;26(6):599-604
Objective To investigate the neurodevelopmental characteristics of children with autism spectrum disorder(ASD),analyze the correlation between neurodevelopmental indicators and cerebral blood flow(CBF),and explore the potential mechanisms of neurodevelopment in ASD children.Methods A retrospective study was conducted on 145 children aged 2-6 years with newly-diagnosed ASD.Scores from the Gesell Developmental Diagnosis Scale and the Autism Behavior Checklist(ABC)and CBF results were collected to compare gender differences in the development of children with ASD and analyze the correlation between CBF and neurodevelopmental indicators.Results Fine motor and personal-social development quotient in boys with ASD were lower than those in girls with ASD(P<0.05).Gross motor development quotient in ASD children was negatively correlated with CBF in the left frontal lobe(r=-0.200,P=0.016),right frontal lobe(r=-0.279,P=0.001),left parietal lobe(r=-0.208,P=0.012),and right parietal lobe(r=-0.187,P=0.025).The total ABC score was positively correlated with CBF in the left amygdala(r=0.295,P<0.001).Conclusions Early intervention training should pay attention to gender and developmental structural characteristics for precise intervention in ASD children.CBF has the potential to become a biological marker for assessing the severity of ASD.
5.Analysis of causes of bleeding after endoscopic duodenal papillary adenoma resection and establishment of prediction model
Chun-Yan JIN ; Hua YANG ; Lei WANG ; Qin YIN ; Meng-Yun HU ; Xu FANG ; Mu-Han NI
Modern Interventional Diagnosis and Treatment in Gastroenterology 2024;29(4):398-402,406
Objective The causes of bleeding after endoscopic duodenal papilloma resection were analyzed and discussed,and the prediction model of nomogram was established.Methods A total of 233 patients who underwent endoscopic duodenal papilloma resection in our hospital from January 2018 to December 2023 were retrospectively analyzed,and they were divided into bleeding group(n=31 cases)and non-bleeding group(n=202 cases)according to whether postoperative bleeding occurred.The clinical data of the two groups were compared,the independent risk factors for postoperative bleeding were analyzed by multi-factor logistic regression,the risk nomogram prediction model was constructed,and the Bootstrap method was used for 1000 repeated samples to carry out internal verification.Results Anticoagulant drugs(OR=9.063,95%CI:2.132-38.525),lesion diameter ≥2 cm(OR=2.802,95%CI:1.073-7.321),intraoperative fragment resection(OR=27.653,95%CI:3.055~619.174)and pancreatic complications(OR=6.859,95%CI:1.930~24.377)were independent risk factors for postoperative bleeding after endoscopic duodenal papilloma resection(P<0.05).A risk prediction nomogram model was constructed according to the Logistic regression analysis results.The samples were repeatedly sampled 1000 times through Bootstrap method for internal verification.The area under the ROC curve was 0.850,and the 95%CI was 0.780-0.913,indicating good differentiation ability of the model.Calibration curve analysis indicated that the prediction probability of postoperative bleeding predicted by the nomogram prediction model was in good agreement with the actual probability of postoperative bleeding,and Hosmer-Lemeshow showed good goodness of fit(x2=3.304 9,P=0.913 8).Conclusion Taking anticoagulant drugs,lesion diameter ≥2 cm,intraoperative segmentary resection,and postoperative combination of pancreas were independent risk factors for bleeding after endoscopic duodenal papilloma resection.A nomogram prediction model was established to help clinical assessment of postoperative bleeding risk in patients and improve decision-making basis for early prevention.
6.Analysis of big data characteristics of allergic rhinitis patients in Beijing City from 2016 to 2021.
Tian Qi WANG ; Mei Ying YOU ; Feng LU ; Yue Hua HU ; Jin Fang SUN ; Miao Miao WANG ; Xu Dong LI ; Da Peng YIN
Chinese Journal of Preventive Medicine 2023;57(9):1380-1384
To explore the characteristics of big data of patients with allergic rhinitis, including the time, population and spatial distribution of allergic rhinitis in Beijing from 2016 to 2021, so as to provide reference for the prevention and treatment of this disease. Descriptive epidemiological methods were used to analyze the distribution (including gender, age and location)and trend of allergic rhinitis patients in 30 pilot hospitals from January 2016 to December 2021, T test and Kruskal-Wallis rank sum test were used to test the statistical differences. The results showed that the number of patients with allergic rhinitis in 30 hospitals increased year by year from 2016 to 2019, with an increase of 97.9%. In 2020, the number of patients decreased. In 2021, the number of visits returned to the pre-epidemic level (461 332); The number of patients with allergic rhinitis was the highest in September, with a seasonal index of 177.6%, while the lowest number was in February, accounting for only 47.2%; a significant difference was observed in the number of patients in different age groups(H=45 319.48, P<0.05), and patients under 15 years old accounted for the highest proportion(819 284 visits); There were significant differences between patients of different genders in the 45-59 year old group (t=-4.26, P<0.05).There were relatively more patients with allergic rhinitis in Dongcheng District(31.1%) than in Huairou District and Miyun District (0.4%). In conclusion, since 2016, the number of patients increased significantly, with a varied trend in different seasons. Most patients were children. There were more patients in the central urban area than in the outer suburbs.
Child
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Humans
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Female
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Male
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Adolescent
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Middle Aged
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Beijing/epidemiology*
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Big Data
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Epidemics
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Hospitals
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Rhinitis, Allergic/epidemiology*
7.Analysis of big data characteristics of allergic rhinitis patients in Beijing City from 2016 to 2021.
Tian Qi WANG ; Mei Ying YOU ; Feng LU ; Yue Hua HU ; Jin Fang SUN ; Miao Miao WANG ; Xu Dong LI ; Da Peng YIN
Chinese Journal of Preventive Medicine 2023;57(9):1380-1384
To explore the characteristics of big data of patients with allergic rhinitis, including the time, population and spatial distribution of allergic rhinitis in Beijing from 2016 to 2021, so as to provide reference for the prevention and treatment of this disease. Descriptive epidemiological methods were used to analyze the distribution (including gender, age and location)and trend of allergic rhinitis patients in 30 pilot hospitals from January 2016 to December 2021, T test and Kruskal-Wallis rank sum test were used to test the statistical differences. The results showed that the number of patients with allergic rhinitis in 30 hospitals increased year by year from 2016 to 2019, with an increase of 97.9%. In 2020, the number of patients decreased. In 2021, the number of visits returned to the pre-epidemic level (461 332); The number of patients with allergic rhinitis was the highest in September, with a seasonal index of 177.6%, while the lowest number was in February, accounting for only 47.2%; a significant difference was observed in the number of patients in different age groups(H=45 319.48, P<0.05), and patients under 15 years old accounted for the highest proportion(819 284 visits); There were significant differences between patients of different genders in the 45-59 year old group (t=-4.26, P<0.05).There were relatively more patients with allergic rhinitis in Dongcheng District(31.1%) than in Huairou District and Miyun District (0.4%). In conclusion, since 2016, the number of patients increased significantly, with a varied trend in different seasons. Most patients were children. There were more patients in the central urban area than in the outer suburbs.
Child
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Humans
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Female
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Male
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Adolescent
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Middle Aged
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Beijing/epidemiology*
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Big Data
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Epidemics
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Hospitals
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Rhinitis, Allergic/epidemiology*
8.A multicenter study on human parainfluenza virus infections among children with community-acquired pneumonia from 2014 to 2020
Shiqi CAI ; Baoping XU ; Changchong LI ; Yun SUN ; Gen LU ; Rong JIN ; Yunxiao SHANG ; Yunlian ZHOU ; Ling CAO ; Aihuan CHEN ; Li DENG ; Yixiao BAO ; Limin NING ; Zhou FU ; Fang GU ; Shuilian YU ; Chunyan LIU ; Ju YIN ; Kunling SHEN ; Yun ZHU ; Zhengde XIE
Chinese Journal of Experimental and Clinical Virology 2023;37(5):472-479
Objective:To investigate the epidemiological and clinical characteristics of human parainfluenza viruses (HPIVs) infection among hospitalized children with community-acquired pneumonia (CAP) in China, and provide basic data for diagnosis, treatment and prevention of HPIVs infection.Methods:From November 2014 to February 2020, 5 448 hospitalized children with CAP were enrolled in 14 hospitals in 11 provinces and municipalities directly under the Central Government in southern China and northern China. Nasopharyngeal aspirates or throat swabs were collected, and the nucleic acids of 18 types respiratory viruses including HPIV1-4 were screened by suspension array technology. Demographic data and clinical information were collected for statistical analysis.Results:The total detection rate of HPIVs in 5 448 children with CAP was 8.83% (481/5 448), and the detection rate in males was higher than that in females (62.79% vs. 37.21%; χ2=0.000, P=0.992). The detection rate of HPIVs in 1~< 3 years age group was higher than that in other age groups, and the difference was statistically significant ( χ2=61.893, P<0.001). The detection rate of HPIVs in the northern region was higher than that in the southern region (9.02% vs 8.65%), but the difference was not statistically significant ( χ2=0.239, P=0.625). The prevalence of HPIV1-4 in northern and southern China was not completely same. HPIV1 was mainly prevalent in autumn in both northern and southern regions. HPIV2 was prevalent in summer in northern China, and the detection rate was low in southern China. HPIV3 reached its peak in both spring and summer in both northern and southern China, but its duration was longer in southern China than in northern China. HPIV4 is mainly popular in autumn in both southern China and northern China. Among 481 children infected with HPIVs, 58.42% (281/481) were infected with HPIV alone, and the main clinical manifestations were cough (90.75%) and fever (68.68%). Out of the HPIV-positive cases, 42.62% (205/481) were co-infected with another type of HPIV or a different virus, while 11.43% (55/481) had co-infections with two or more different viruses. HPIV3 was the most common type of co-infection with other viruses. HPIV3 infection accounted for the largest proportion (76.80%) in 47 HPIVs-positive children with severe pneumonia. Conclusions:HPIVs is one of the most important pathogens causing CAP in children in China, and children under 3 years of age are the main populations of HPIVs infection. The prevalence characteristics of all types of HPIVs in children in the north and south are not completely same. HPIV3 is the dominant type of HPIV infections and causes more severe diseases.
9.Value of free triiodothyronine levels in evaluating the severity and prognosis of elderly patients with coronavirus disease 2019
Jin FANG ; Yin HANG ; Mingzhu WANG ; Yikai XIE ; Yuewen YAN ; Ya CHAO
Chinese Journal of Infectious Diseases 2023;41(10):655-661
Objective:To investigate the relationship between serum free triiodothyronine (FT 3) and the severity and prognosis of elderly patients with coronavirus disease 2019 (COVID-19). Methods:Clinical data of the elderly patients aged≥65 years old with COVID-19 who were admitted to the Ninth People′s Hospital of Wuxi from December 27, 2022 to January 18, 2023 were collected. The laboratory examinations of the non-severe and the severe/critical groups were compared. Patients were divided into group T1 (FT 3<2.51 pmol/L), group T2 (FT 3=2.51 to 2.95 pmol/L, ), and group T3 (FT 3>2.95 pmol/L) according to the FT 3 level. Independent sample t test was used for comparison between groups. Logistic regression analysis was performed to evaluate the risk factors for severe/critical disease, and to analyze the risk of severe/critical COVID-19 in elderly patients with different FT 3 levels. The receiver operator characteristic (ROC) curve was drawn to analyze the predictive value of FT 3 on the occurrence of severe/critical disease in patients. Kaplan-Meier survival curve and log-rank test were used to analyze the 30-day survival rate of elderly COVID-19 patients. Results:Among the 190 patients, the FT 3 level in the severe/critical group was (2.54±0.30) pmol/L, which was significantly lower than that in the non-severe group ((2.91±0.69) pmol/L), and the difference was statistically significant ( t=-3.42, P=0.001). Elevated serum FT 3 level was a protective factor for severe/critical disease in elderly COVID-19 patients (odds ratio ( OR)=0.139, 95% confidence interval ( CI) 0.034 to 0.577, P=0.007). There were 66 patients in the T1 group, 61 in the T2 group and 63 in the T3 group, respectively. After adjusted for sex, age, history of lung diseases, history of cardiac diseases, history of hypertension, history of diabetes mellitus, history of cerebral infarction, white blood cell count, lactate dehydrogenase, D-dimer, free thyroxine and thyrotropin, the risk of developing severe/critical disease in group T1 and group T2 were 10.982 folds and 3.695 folds of that in group T3, respectively (both P<0.05). The area under ROC curve of FT 3 of predicting severe/critical COVID-19 in the elderly patients was 0.731. The sensitivity and specificity were 0.733 and 0.659, respectively. The cut-off value was 2.53 pmol/L. The 30-day survival rate in patients with FT 3<2.53 pmol/L was significantly lower than that in patients with FT 3≥2.53 pmol/L ( χ2=13.49, P<0.001). Conclusions:The elevated level of FT 3 is a protective factor for progression to severe/critical disease in elderly patients with COVID-19. The evaluation of serum FT 3 could predict the severity and prognosis of elderly COVID-19 patients.
10.Epidemiological investigation on the local epidemic situation in Zhengzhou High-Tech Zone caused by SARS-CoV-2 Delta variant.
Yue Fei JIN ; Yue LI ; Jun Wei LI ; Zhuo Ya YAN ; Shuai Yin CHEN ; Xiao Min LOU ; Ke FAN ; Fan WU ; Yuuan Yuan CAO ; Fang Yuan HU ; Long CHEN ; Ya Qi XIE ; Cheng CHENG ; Hai Yan YANG ; Guang Cai DUAN
Chinese Journal of Preventive Medicine 2023;57(1):43-47
This study collected epidemic data of COVID-19 in Zhengzhou from January 1 to January 20 in 2022. The epidemiological characteristics of the local epidemic in Zhengzhou High-tech Zone caused by the SARS-CoV-2 Delta variant were analyzed through epidemiological survey and big data analysis, which could provide a scientific basis for the prevention and control of the Delta variant. In detail, a total of 276 close contacts and 599 secondary close contacts were found in this study. The attack rate of close contacts and secondary close contacts was 5.43% (15/276) and 0.17% (1/599), respectively. There were 10 confirmed cases associated with the chain of transmission. Among them, the attack rates in close contacts of the first, second, third, fourth and fifth generation cases were 20.00% (5/25), 17.86% (5/28), 0.72% (1/139) and 14.81% (4/27), 0 (0/57), respectively. The attack rates in close contacts after sharing rooms/beds, having meals, having neighbor contacts, sharing vehicles with the patients, having same space contacts, and having work contacts were 26.67%, 9.10%, 8.33%, 4.55%, 1.43%, and 0 respectively. Collectively, the local epidemic situation in Zhengzhou High-tech Zone has an obvious family cluster. Prevention and control work should focus on decreasing family clusters of cases and community transmission.
Humans
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SARS-CoV-2
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COVID-19
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Epidemics
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Incidence

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