Fused teeth are usually formed by the partial or complete fusion of two normal tooth germs during the development process and belong to dental developmental abnormalities. Fused teeth are relatively rare clinically, and those occurring in the posterior tooth area are even rarer. This article reports a case of fused teeth between the first permanent molar and the second permanent molar in the right mandible. This fused tooth had a complex root canal anatomical structure (seven root canals). The number and location of the root canals were analyzed by cone beam computed tomography, and root canal treatment was successfully completed with the assistance of microscope.
Humans ; Molar/diagnostic imaging* ; Mandible ; Dental Pulp Cavity/abnormalities* ; Cone-Beam Computed Tomography ; Root Canal Therapy/methods* ; Fused Teeth/surgery*

Objective:To identify different subtypes of patients with preeclampsia(PE)through clinical liver function index data-driven the cluster analysis,to explore the correlation between liver function of different sub-types and pregnancy complications.Methods:From January 2012 to December 2022,the general data of 2230 sin-gleton pregnant women with PE who underwent prenatal examination and delivered in Fujian Maternity and Child Health Hospital were collected.Using 13 liver function indexes before delivery as baseline variables,all included subjects were classified into subtypes by cluster method.The clinical characteristics of different subtypes of PE patients were compared.Single-factor Logistic regression was used to analyze the risk of pregnancy complications among subtypes.Results:PE patients were divided into 3 subgroups that represented different characteristics of patients' liver function.The first subtype(n=1065)exhibited abnormal liver enzymology index characterized by in-creased alkaline phosphatase(ALP)level.The second subtype(n=648)showed abnormal bilirubin metabolism index with the highest levels of total bilirubin(TBIL),direct(DBIL)and indirect bilirubin(IBIL).The third subtype(n=517)had abnormal liver enzymology indexes with elevated alanine aminotransferase(ALT)and aspartate aminotransferase(AST)levels,abnormal bile acid detection indexes with elevated total bile acid(TBA)levels,and abnormal liver synthesis function indexes with decreased total protein(TP),albumin(ALB),and globulin lev-els(GLB).Significant differences were observed among the three subtypes in age,severe PE,anemia,cardiac dysfunction,and renal dysfunction(P＜0.05).Single-factor Logistic regression demonstrated that the third sub-type had significantly higher risks of intrahepatic cholestasis of pregnancy,fetal growth restriction,premature rup-ture of membranes,and preterm birth compared to the first and second subtypes(P＜0.05),as well as a higher risk of placental abruption than the second subtype(P＜0.05).The first subtype had higher risks of placental ab-ruption and fetal growth restriction than the second subtype(P＜0.05).Conclusions:Cluster analysis could be used to subclassify PE patients by liver function characteristics,so as to identify the occurrence of pregnancy complications.The results had significance for understanding the heterogeneity of PE and promoting individualized management.

Objective:To identify different subtypes of patients with preeclampsia(PE)through clinical liver function index data-driven the cluster analysis,to explore the correlation between liver function of different sub-types and pregnancy complications.Methods:From January 2012 to December 2022,the general data of 2230 sin-gleton pregnant women with PE who underwent prenatal examination and delivered in Fujian Maternity and Child Health Hospital were collected.Using 13 liver function indexes before delivery as baseline variables,all included subjects were classified into subtypes by cluster method.The clinical characteristics of different subtypes of PE patients were compared.Single-factor Logistic regression was used to analyze the risk of pregnancy complications among subtypes.Results:PE patients were divided into 3 subgroups that represented different characteristics of patients' liver function.The first subtype(n=1065)exhibited abnormal liver enzymology index characterized by in-creased alkaline phosphatase(ALP)level.The second subtype(n=648)showed abnormal bilirubin metabolism index with the highest levels of total bilirubin(TBIL),direct(DBIL)and indirect bilirubin(IBIL).The third subtype(n=517)had abnormal liver enzymology indexes with elevated alanine aminotransferase(ALT)and aspartate aminotransferase(AST)levels,abnormal bile acid detection indexes with elevated total bile acid(TBA)levels,and abnormal liver synthesis function indexes with decreased total protein(TP),albumin(ALB),and globulin lev-els(GLB).Significant differences were observed among the three subtypes in age,severe PE,anemia,cardiac dysfunction,and renal dysfunction(P＜0.05).Single-factor Logistic regression demonstrated that the third sub-type had significantly higher risks of intrahepatic cholestasis of pregnancy,fetal growth restriction,premature rup-ture of membranes,and preterm birth compared to the first and second subtypes(P＜0.05),as well as a higher risk of placental abruption than the second subtype(P＜0.05).The first subtype had higher risks of placental ab-ruption and fetal growth restriction than the second subtype(P＜0.05).Conclusions:Cluster analysis could be used to subclassify PE patients by liver function characteristics,so as to identify the occurrence of pregnancy complications.The results had significance for understanding the heterogeneity of PE and promoting individualized management.

Hypoglycemia can lead to physical and psychological disorders, which are associated with a decrease in quality of life and an increase in mortality risk. Compared to those hospitalized, homebound and community patients have a higher incidence of hypoglycemia and are more vulnerable to the disorders. Hypoglycemia is preventable and treatable, timely intervention can preserve physical well-being of patients and reduce the mortality risk. This article reviews the incidence of hypoglycemia in community diabetic patients, and the knowledge and awareness of patients about hypoglycemia, including the onset inducement, symptoms, hazards, coping and prevention, to provide a reference for the prevention and treatment of hypoglycemia in diabetic patients.

Objective:To investigate the clinical characteristics and perinatal outcomes of preeclampsia (PE) with severe fetal growth restriction (FGR) as the initial symptom.Methods:This retrospective cohort study included cases of singleton live births with PE and severe FGR delivered at Fujian Maternity and Child Health Hospital from January 2012 to December 2022. The cases were divided into two groups based on the sequence of severe FGR and hypertension onset: the severe FGR-first group and the hypertension-first group. General data, clinical characteristics, pregnancy complications, and neonatal outcomes were analyzed between the two groups. Statistical analyses were performed using t-tests, Mann-Whitney U tests, and Chi-square tests. Multivariate linear regression or logistic regression analyses were used to adjust for the effects of confounding factors on perinatal outcomes. Results:(1) A total of 307 cases were included in the study, with 194 cases (63.2%) in the severe FGR-first group and 113 cases (36.8%) in the hypertension-first group. Compared to the hypertension-first group, the severe FGR-first group had a higher proportion of severe FGR before 32 weeks, later gestational age at PE diagnosis, lower proportion of early-onset PE, greater gestational age at pregnancy termination, and shorter interval from PE diagnosis to pregnancy termination [40.7% (46/113) vs. 59.3% (115/194), χ2=9.87; (32.8±5.1) weeks vs. (35.6±3.4) weeks, t=5.12; 52.2% (59/113) vs. 25.8% (50/194), χ2=21.80; (34.7±3.1) weeks vs. (36.0±3.2) weeks, t=3.43; all P<0.01]. There was no statistically significant difference in the interval between the diagnosis of severe FGR and hypertension between the two groups. (2) Compared to the hypertension-first group, the severe FGR-first group had a lower preterm birth rate and a higher incidence of premature rupture of membranes [69.0% (78/113) vs. 46.9% (91/194), χ2=14.12; 9.7% (11/113) vs. 19.1% (37/194), χ2=4.72; both P<0.05]. After adjusting for differences in gestational age at termination of pregnancy using multivariate logistic regression analysis, the results showed no statistically significant differences in the incidence of pregnancy complications between the two groups. (3) Compared with the hypertension-first group, the severe FGR-first group had higher neonatal birth weight [(1 757±605) g vs. (2 067±684) g, t=4.12], longer birth length [(41.7±4.3) cm vs. (43.4±4.6) cm, t=3.10], and heavier placentas [(399±158) g v s. (486±147) g, t=2.36]. The rates of cesarean section, severe small for gestational age, and low birth weight were lower [85.8% (97/113) vs. 68.6% (133/194), χ2=11.35; 65.5% (74/113) vs. 49.5% (96/194), χ2=7.40; 87.6% (99/113) vs. 69.6% (135/194), χ2=12.80; all P<0.05]. There were no statistically significant differences in the 1-minute Apgar scores and NICU admission rates between the two groups. After adjusting for differences in gestational age at termination of pregnancy using multivariate regression analysis, it was found that compared with the hypertension-first group, the severe FGR-first group had heavier neonates and a lower risk of cesarean section [ OR (95% CI) were 80.18 (0.95-159.42) and 0.51 (0.26-0.99), both P<0.05]. Conclusions:Pregnant women with severe FGR preceding PE have a later onset of PE and relatively better perinatal outcomes compared to those with hypertension preceding PE. It is necessary to strengthen the monitoring of blood pressure fluctuations in pregnant women with severe FGR preceding PE and fetal growth in pregnant women with hypertension preceding PE.

Objective:To develop deep learning models for ulcerative colitis (UC) classification based on Mayo endoscopic score.Methods:A total of 2400 endoscopic images from the Gastrointestinal Endoscopy Centre of the First Affiliated Hospital of Soochow University and the HyperKvasir database were extracted for training classification models, and 200 endoscopic images from Affiliated Jintan Hospital of Jiangsu University were extracted for evaluating the models, both scored by endoscopists according to Mayo endoscopic score (score 0-3). Four deep convolutional neural networks (MobileNetV2, ResNetV2, Xception, EfficientNetV2S), which were pre-trained in the ImageNet database, were used to develop the UC classification models by transfer learning. Models were evaluated in the test set based on the confusion matrix using accuracy, Matthews correlation coefficient (MCC) and Cohen′s kappa, and compared with the performance of senior and junior physicians. Meanwhile, the model was visualized by gradient-weighted class activation mapping.Results:Four deep learning Mayo score models based on UC endoscopic image classification models were successfully developed. In the test set, the accuracy of MobileNetV2, ResNetV2, Xception and EfficientNetV2S was 0.785, 0.800, 0.815, 0.830, respectively (average accuracy 0.808). Amoug them, EfficientNetV2S model was the best, higher than junior physician′s accuracy (accuracy 0.785), and slightly lower than senior physician′s (accuracy 0.870) .Conclusions:The UC endoscopic severity classification models developed by deep learning show good performance, which can be further improved by larger sample size and optimizing the framework.

Objective This study focuses on the construction and cultivation of young administrative management per-sonnel in Shanghai's public hospitals,aiming to provide scientific support for the development of high-quality young administra-tive management professionals in public hospitals.Methods Utilizing an anonymous online survey,this research collected data on the current state of subjective well-being and its influencing factors among the targeted groups from hospitals.Analysis of vari-ance and multivariate analysis were conducted to analyze potential factors affecting their sense of well-being.Results A total of 171 cases were included in the survey,with an average score of 80.37.This group of respondents exhibited a higher level of sub-jective well-being compared to the national norm.Notably,young administrative staff who had obtained Shanghai residency,had a surplus income,spent time with family after work,had career advancement opportunities,felt a strong connection to their work's value,and received affirmation from family members,demonstrated higher subjective well-being scores,with significant statisti-cal differences(P＜0.05).Conversely,those with an income ranging from 0 to 100 000,and those who felt overwhelmed by their current roles,scored lower on well-being,with significant statistical differences(P＜0.05).Conclusion This study sug-gests that by bolstering professional security and job stability,fostering a set of correct values and a sense of work identity,and improving job satisfaction and competence,the subjective well-being of this group can be further elevated.This,in turn,can in-ject new momentum into the high-quality development of public hospitals.

Pregnancy ; Female ; Humans ; Diabetes, Gestational/diagnosis* ; Retrospective Studies ; Prognosis ; Pregnancy Outcome ; Maternal Age

Objective:To develop deep learning models for ulcerative colitis (UC) classification based on Mayo endoscopic score.Methods:A total of 2400 endoscopic images from the Gastrointestinal Endoscopy Centre of the First Affiliated Hospital of Soochow University and the HyperKvasir database were extracted for training classification models, and 200 endoscopic images from Affiliated Jintan Hospital of Jiangsu University were extracted for evaluating the models, both scored by endoscopists according to Mayo endoscopic score (score 0-3). Four deep convolutional neural networks (MobileNetV2, ResNetV2, Xception, EfficientNetV2S), which were pre-trained in the ImageNet database, were used to develop the UC classification models by transfer learning. Models were evaluated in the test set based on the confusion matrix using accuracy, Matthews correlation coefficient (MCC) and Cohen′s kappa, and compared with the performance of senior and junior physicians. Meanwhile, the model was visualized by gradient-weighted class activation mapping.Results:Four deep learning Mayo score models based on UC endoscopic image classification models were successfully developed. In the test set, the accuracy of MobileNetV2, ResNetV2, Xception and EfficientNetV2S was 0.785, 0.800, 0.815, 0.830, respectively (average accuracy 0.808). Amoug them, EfficientNetV2S model was the best, higher than junior physician′s accuracy (accuracy 0.785), and slightly lower than senior physician′s (accuracy 0.870) .Conclusions:The UC endoscopic severity classification models developed by deep learning show good performance, which can be further improved by larger sample size and optimizing the framework.

Major depressive disorder (MDD) is one of the most disabling illnesses, and approximately one-third of patients with MDD fail to show significant improvement after multiple courses of antidepressants, eventually progressing to treatment-resistant depression (TRD), a more severe and complex subtype that is difficult to treat. Obsessive-compulsive disorder (OCD) is a type of mental disorder characterized by repetitive obsessions and/or compulsive behaviors, and the high rate of comorbidity with other psychiatric disorders has been identified as a hallmark feature of OCD. In particular, OCD frequently co-occurs with MDD, and when these two conditions overlap, the resulting comorbidity is characterized by more severe symptoms and an increased risk of suicide. Magnetic seizure therapy (MST) is a novel, non-invasive neuromodulation technique that is safe and effective in the treatment of TRD with less cognitive impairment. This paper describes a case of significant symptom improvement following 100 Hz accelerated MST treatment in a patient with comorbid TRD and OCD. As a novel treatment option, MST requires further large-scale clinical trials to explore in the future.