Objective To investigate the prevalence and influencing factors of thyroid enlargement in school-age children in Tianjin. Methods School-age children were randomly selected in Tianjin to undergo thyroid ultrasound examination, and salt iodine, urine iodine, height, and weight tests. A questionnaire survey was conducted. Univariate and multivariate regression models were used to analyze the risk factors for thyroid enlargement. Results A total of 917 children aged 7-13 years in Tianjin were surveyed, with a thyroid enlargement rate of 4.03% and a median thyroid volume of 2.60 ml. There was a non-linear relationship between children's body mass index (BMI) and the incidence of thyroid enlargement in children (P=0.008), and a linear relationship between children's body surface area (BSA) and the incidence of thyroid enlargement in children (P<0.001). Being 9 years old (OR=3.728, 95%CI: 1.343-10.343, P=0.012), obesity (OR=3.886, 95%CI: 1.801-8.384, P=0.001), having lunch at school (OR=3.157, 95%CI: 1.497-6.658, P=0.003) and frequent consumption of preserved foods (OR=4.611, 95%CI: 1.643-12.945, P=0.004) were risk factors for goiter in children. Regular consumption of seaweed (OR=0.305, 95%CI: 0.100-0.927, P=0.036) was a protective factor for goiter in children. Conclusion The incidence of thyroid enlargement in children in Tianjin meets national standards. Obesity, eating lunch at school, frequently consuming pickled foods, and being 9 years old may be risk factors for thyroid enlargement in children. Eating seaweed or kelp regularly is a protective factor. At the same time, attention should be paid to the relationship between BMI, BSA, and thyroid enlargement rate in children..

Objective To explore the association between different levels of fluoride exposure and dyslipidemia in elderly people, and to analyze the influencing factors and their interactions. Methods A total of 1 143 elderly people over 60 years old were randomly selected from historical high water fluorosis areas and control areas in Tianjin. Logistic regression model and classification tree model were used to analyze the influencing factors of dyslipidemia, and to analyze the interaction between high fluoride exposure and relevant influencing factors on dyslipidemia. Results The prevalence of elevated low density lipoprotein cholesterol (LDL-C) was 5.69% (65/1 143). There was a significant difference in the prevalence of high LDL-C in different fluoride-exposed areas (2 = 0.092，P = 0.762). Multivariate logistic analysis showed that high fluoride exposure (OR=2.306，95%CI：1.185-4.491) and abdominal obesity (OR=2.274，95%CI：1.299-3.978) were risk factors for high LDL-C, while type B personality (OR=0.529，95%CI：0.308-0.908) was a protective factor for high LDL-C. The results of classification tree model showed that abdominal obesity contributed the most to the prevalence of high LDL-C in the elderly, followed by high fluoride exposure and hyperglycemia. There was a significant multiplicative interaction between high fluoride exposure and abdominal obesity on dyslipidemia (OR=5.191,95%CI：1.609-16.745，P=0.006). Conclusion High fluoride exposure may increase the risk of high LDL-C, and there is a multiplicative interaction between high fluoride exposure and abdominal obesity on dyslipidemia.

Objective　To analyze the monitoring data of SARS-CoV-2 variants from local cases in Hainan Province between January 2023 and March 2024, and to understand the predominant variants epidemic situation and population characteristics of SARS-CoV-2 in Hainan Province, providing scientific guidance for the prevention and control strategies formulation, early warning of the risk of SARS-CoV-2 infection. Methods　The variation surveillance data submitted by five sentinel monitoring hospitals in Hainan Province from January 2023 to March 2024 were collected, and general descriptive analysis was conducted on the dynamic epidemic trend of the dominant clade, population characteristics, and disease severity. Results　From January 2023 to March 2024, a total of 2 600 local cases clade information in Hainan Province were collected, all of which were Omicron variant strains involving 115 evolutionary branches. The three phases identified include: the co-dominance of BA.5.2.48 and BF.7 from the first week of 2023 to the 13th week of 2024; the prevalence of XBB and its subclades from the 16th to the 52nd week of 2023; and the predominance of BA.2.86 and its subclades from the first to the 13th week of 2024, with Omicron BA.2.75 causing small-scale sporadic outbreaks. Among all the age groups of branch infection cases, individuals aged >18~60 years constituted the largest group, while those under 4 years were the smallest, with no significant gender differences. The severity of the clinical disease was mainly asymptomatic and mild. Conclusions　Different dominant evolutionary clades of SARS-CoV-2 showed sequential replacement characteristics, and the clinical severity of illnesses has gradually decreased. In the future, the focus should be on individuals aged >60 years and above and those aged >18~60 years with underlying conditions, along with continuous enhancement of variant monitoring and analysis. This will ensure a timely understanding of the dynamic epidemic trend of dominant evolutionary clades in time, and focus on the immunogenicity of the new variant branch and changes in immunogenicity and vaccine protection of new variant clades, providing scientific guidance for the vaccine research, clinical treatment, and immunization strategy formulation.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Peri-implantitis is a pathologic condition associated with dental plaque that occurs in the implant tissue and is characterized by inflammation of the mucous membrane surrounding the implant, followed by the progressive loss of supporting bone. In this study, a case of guided bone regeneration therapy based on plaque control of peri-implant inflammation was reported. Four years after surgery for the left second premolar implant, the patient presented with "left lower posterior tooth swelling and discomfort for more than 2 years". The X-ray periapical film showed a decrease in distal bone mineral density of implant, and the clinical diagnosis was peri-implantitis of the left second premolar. Implants underwent guided bone regeneration and regular periodontal maintenance treatment. Re-examination at 3.5 months, 11 months, 18 months, and 7 years showed that the alveolar bone height and bone mineral density were stable, and the periodontal depth became shallow. However, the gingival recession was mild. In the present case, follow-up at 7 years demonstrated that the clinical periodontal indexes could be remarkably improved after complete periodontal treatment for peri-implantitis, and the alveolar bone could be well restored and regenerated.
Humans ; Peri-Implantitis/etiology* ; Follow-Up Studies ; Bone Regeneration ; Guided Tissue Regeneration, Periodontal/methods* ; Dental Plaque/prevention & control* ; Male ; Female ; Dental Implants/adverse effects*

Objective: To understand the dose response relationship between urinary fluoride and dental fluorosis among children from drinking water borne endemic fluorosis areas in Tianjin, so as to provide a scientific basis for assessing fluoride exposure risk among children from endemic areas and establishing reference values for urinary fluoride. Methods: From January to December 2024, 83 endemic villages were selected in Tianjin. A total of 2 382 children aged 8-12 years from these villages underwent dental fluorosis examination, along with water fluoride and urinary fluoride testing. Additionally, data from areas where the drinking water fluorosis control target was achieved for more than 12 years (10 villages, 50 people per village) were included as controls. A restricted cubic spline model was used to analyze the relationship between urinary fluoride levels and dental fluorosis prevalence, and benchmark dose (BMD) and benchmark dose lower bound (BMDL), as well as reference dose (RfD), were calculated using the benchmark dose method. Results: The prevalence rates of dental fluorosis among children in drinking water borne endemic fluorosis areas and areas of normal fluoride content in water in Tianjin were 10.58%, 7.60%, with a geometric mean urinary fluoride level of 0.72 and 0.60 mg/L,respectively. There were statistically significant differences in both dental fluorosis prevalence and geometric mean urinary fluoride levels between the drinking water borne endemic fluorosis areas group and the areas of normal fluoride content in water ( χ 2/Z = 4.05 , -7.31, both P <0.05). Across different periods of water source improvement, there were statistically significant differences in overall population, male, and female dental fluorosis prevalence rates and geometric mean urinary fluoride levels ( χ 2/H =44.95, 23.96, 21.05; 168.39, 63.93, 107.50, all P <0.01). Significant differences were also observed across age groups among children from drinking water borne endemic fluorosis areas in terms of dental fluorosis prevalence and geometric mean urinary fluoride levels ( χ 2/H =32.14, 79.73, both P <0.01). The results of the restricted cubic spline model showed that the risk of dental fluorosis in different sex, age and overall children in the drinking water borne endemic fluorosis areas increased significantly with rising urinary fluoride concentration(all P-general trend <0.05). The BMD value for the drinking water borne endemic fluorosis areas was 1.72 mg/L, the BMDL was 1.31 mg/L, and the RfD was 1.31 mg/L. Conclusions The prevalence of dental fluorosis among children in the drinking water borne endemic fluorosis areas in Tianjin has been effectively controlled, but it is still higher than that in the areas of normal fluoride content in water. Moreover, urinary fluoride levels and dental fluorosis prevalence among children from drinking water borne endemic fluorosis areas show a clear dose response relationship.

Primary health care institutions should be the main force of China's medical and health service system and the cornerstone of the national health care system. During the COVID-19 pandemic, China's primary health care institutions played a critical role, but many deficiencies and weaknesses were also highlighted. Through systematic literature search and analysis, this article finds that China's primary health care institutions have some problems such as low demand for patient care, weak integration of the health system, weak service foundation, and insufficient emergency response capacity for public health emergencies. Accordingly, we put forward a strategy for the construction of primary health care institutions based on the "Three Forces Theory", which aims to improve the primary medical and health care service system, upgrade the capacity of primary medical and health care services, and better fulfill the strategic goal of "Healthy China 2030".

Objective To investigate the clinical effect of Mudan Granules combined with pentoxifylline in the treatment of type 2 diabetes mellitus (T2DM) with early renal disease and analyze its impact on the Toll-like receptor 4 (TLR4)/nuclear factor-κB (NF-κB) signaling pathway. Methods A total of 164 patients with T2DM and early renal disease admitted to the Second People's Hospital of Hunan Province between May 2022 and October 2023 were enrolled and randomly divided into observation group(n=82) and control group (n=82) using a random number table in a 1-to-1 ratio. The control group received pentoxifylline treatment, while the observation group received Mudan granules combined with pentoxifylline. The clinical effects and changes in renal function indicators[serum creatinine (SCr), urea nitrogen, urinary albumin-to-creatinine ratio (UACR)], TLR4/NF-κB signaling pathway indicators (TLR4, MyD88, NF-κB mRNA), and inflammation and oxidative stress indicators [C-reactive protein (CRP), glutathione peroxidase (GSH-PX), malondialdehyde (MDA), total antioxidant capacity (TAC), and transforming growth factor β1 (TGF-β1)] before and after treatment were compared between the two groups. Results The total effective rate in the observation group was 97.56%, which was higher than 89.02% in the control group (P<0.05). At 6 and 12 weeks after treatment, the levels of SCr, urea nitrogen, and UACR in both groups decreased compared with those before treatment, and the levels of these indicators in the observation group were lower than those in the control group (P<0.05). At 6 and 12 weeks after treatment, the levels of TLR4, MyD88, and NF-κB mRNA in both groups decreased compared with those before treatment, and the levels of these indicators in the observation group were lower than those in the control group (P<0.05). At 6 and 12 weeks after treatment, the levels of GSH-PX and TAC in both groups increased, while the levels of CRP, MDA, and TGF-β1 decreased compared with those before treatment. The levels of GSH-PX and TAC in the observation group were higher than those in the control group, while the levels of CRP and MDA were lower (P<0.05). Conclusion Mudan Granules combined with pentoxifylline in the treatment of T2DM with early renal disease can improve renal function to a certain extent, regulate the TLR4/NF-κB signaling pathway, and reduce inflammation and oxidative stress responses, which is beneficial for disease control.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age ( P=0.003), comorbidities such as heart failure ( P<0.001), arrhythmia ( P=0.002), chronic liver disease ( P=0.003), chronic kidney disease ( P=0.002), CCI score ( P=0.007), total number of comorbidities ( P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns ( P=0.030), CCI score ( P=0.040), concomitant heart failure ( P=0.011), and concomitant arrhythmia ( P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age ( P=0.003), comorbidities such as heart failure ( P<0.001), arrhythmia ( P=0.002), chronic liver disease ( P=0.003), chronic kidney disease ( P=0.002), CCI score ( P=0.007), total number of comorbidities ( P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns ( P=0.030), CCI score ( P=0.040), concomitant heart failure ( P=0.011), and concomitant arrhythmia ( P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.