Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

Humans ; Acute Disease ; Pancreatitis/diagnosis* ; Follow-Up Studies ; Patient Discharge ; Disease Progression

Objective To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2(T2DM)in the middle-aged and elderly populations based on the results of a Meta-analysis,and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service.Methods Cohort studies evaluating T2DM risks were identified in Chinese and English databases.The logistic model utilized Meta-combined effect values such as the odds ratio(OR)to derive β,the partial regression coefficient,of the logistic model.The Meta-combined incidence rate of T2DM was used to obtain the parameter α of the logistic model.Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service.The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7 602 individuals who did not have T2DM at their baseline medical checkups done at the community health center.This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people.Results A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM,including age,central obesity,smoking,physical inactivity,impaired fasting glucose,a reduced level of high-density lipoprotein cholesterol(HDL-C),hypertension,body mass index(BMI),triglyceride glucose(TYG)index,and a family history of diabetes,with the OR values and 95% confidence interval(CI)being 1.04(1.03,1.05),1.55(1.29,1.88),1.36(1.11,1.66),1.26(1.07,1.49),3.93(2.94,5.24),1.14(1.06,1.23),1.47(1.34,1.61),1.11(1.05,1.18),2.15(1.75,2.62),and 1.66(1.55,1.78),respectively,and the combined β values being 0.039,0.438,0.307,0.231,1.369,0.131,0.385,0.104,0.765,and 0.507,respectively.A total of 37 studies reported the incidence rate,with the combined incidence being 0.08(0.07,0.09)and the parameter α being-2.442 for the logistic model.The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7 602 individuals who had medical checkups and were followed up for at least once.External validation results showed that the predictive model had an area under curve(AUC)of 0.794(0.771,0.816),accuracy of 74.5%,sensitivity of 71.0%,and specificity of 74.7% in the 7 602 individuals.Conclusion The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.

Objective:To observe the efficacy and factors influencing sequential or combined tenofovir alafenamide fumarate (TAF) after treatment with entecavir (ETV) in patients with chronic hepatitis B (CHB) with low-level viremia (LLV).Methods:126 CHB cases treated with ETV antiviral therapy in the Department of Infectious Diseases of the First Affiliated Hospital of Nanchang University from January 2020-September 2022 were retrospectively collected. Patients were divided into a complete virologic response (CVR) group ( n = 84) and a low-level viremia (LLV) group ( n = 42) according to the HBV DNA level during treatment. Clinical characteristics and laboratory indicators of the two groups at baseline and 48 weeks were analyzed by univariate analysis. Patients in the LLV group were divided into three groups according to their continued antiviral treatment regimen until 96 weeks: continued use of ETV as a control group; replacement of TAF as a sequential group; and combination of ETV and TAF as a combined group. The data of the three groups of patients were analyzed by one-way analysis of variance for 48 weeks. HBV DNA negative conversion rate, HBeAg negative conversion rate, alanine aminotransferase (ALT), creatinine (Cr), and liver stiffness test (LSM) were compared among the three groups after 96 weeks of antiviral treatment. Multivariate logistic regression was used to analyze the independent factors influencing the occurrence of HBV DNA non-negative conversion in LLV patients at 96 weeks. Receiver operating characteristic curve (ROC) was used to evaluate the effectiveness of predicting the occurrence of HBV DNA non-negative conversion in LLV patients at 96 weeks. Kaplan-Meier was used to analyze the cumulative negative rate of DNA in LLV patients, and the Log-Rank test was used for comparison. HBV DNA and HBV DNA negative conversion rates during treatment were observed dynamically. Results:Univariate analysis showed statistically significant differences in age, BMI, HBeAg positivity rate, HBV DNA, HBsAg, ALT, AST, and LSM at baseline between the CVR group and the LLV group ( P < 0.05). Univariate analysis of variance revealed no statistically significant difference among the three groups of LLV patients at 48 weeks ( P > 0.05). HBV-DNA negative conversion rate in the sequential group and the combination group was significantly higher than that in the control group after 96 weeks of treatment (88.89% vs. 41.18%, 85.71% vs. 41.18%, χ2 = 10.404, P = 0.006). HBeAg negative conversion rate was higher than that of the control group, with no statistically significant difference ( P > 0.05).Compared with the control group, ALT, Cr, and LSM in the sequential group and the combined group were equally improved to varying degrees, with a statistically significant difference ( P < 0.05). Subsequent use of ETV and HBV DNA at 48 weeks were independent risk factors for HBV DNA positivity at 96 weeks in LLV patients ( P < 0.05). The AUC of HBV DNA at 48 weeks was 0.735 (95% CI: 0.578 ~ 0.891), the cut-off value was 2.63 log 10 IU/ml, and the sensitivity and specificity were 76.90% and 72.40%, respectively. DNA conversion rate was significantly lower in LLV patients receiving 48-week ETV and 48-week HBV DNA≥2.63 log10 IU/mL than in patients receiving sequential or combined TAF and 48-week HBV DNA < 2.63 log 10 IU/mL. HBV DNA negative conversion rates in the sequential group and combined group at 72 weeks, 84 weeks, and 96 weeks were higher than those in the control group during the period from 48 weeks to 96 weeks of continuous treatment, and the differences were statistically significant ( P < 0.05). Conclusion:Sequential or combined TAF antiviral therapy could more effectively improve the 96-week CVR rate, as well as hepatic and renal function, and alleviate the degree of hepatic fibrosis in CHB patients with LLV following ETV treatment. Subsequent use of ETV and HBV DNA load at 48 weeks were independent predictors of HBV DNA positivity at 96 weeks in LLV patients.

Objective:To explore the association of different obesity measurement indexes on serum C-reactive protein (CRP) in Chinese adult women.Methods:The data were obtained from baseline and follow-up surveys of the urban Breast Cancer Screening Program in Shuangliu District, Chengdu. A total of 441 adult women were included in the study. A questionnaire survey, physical examination, and laboratory testing were conducted on the subjects. Multivariate logistic regression model, two-level mixed effects logistic regression model, and restricted cubic spline method were used to investigate the linear and nonlinear correlation between different obesity measurement indexes and serum CRP in adult women.Results:For every 1 unit increase in BMI, waist circumference (WC), and adiposity, the risk of elevated serum CRP or exacerbation of chronic low-grade inflammation in adult women increased by 16.5%, 5.0%, and 11.1% ( P<0.05), respectively. Both BMI and adiposity were nonlinear correlated with serum CRP. Using BMI=24.0 kg/m 2 as the reference point, serum CRP level increased with the increase of BMI when BMI >24.0 kg/m 2. Using adiposity=30% as the reference point, serum CRP level increased with the increase of adiposity when adiposity >30%. Conclusions:Overall, obesity reflected by BMI had the strongest association with serum CRP in adult women, followed by body fat content reflected by adiposity, and central obesity reflected by WC had the weakest association with CRP. Adult women with BMI >24.0 kg/m 2 or adiposity >30% are at high risk for obesity-related inflammatory manifestations.

Objective:To identify the molecular pathogenic characteristics and genetic evolution of an outbreak of acute gastroenteritis in Shenyang, China.Methods:A total of 57 anal swabs and environmental swab samples from student cases in a university outbreak in Shenyang in November 2021 were collected. Fluorescence quantitative RT-PCR was used for routine detection of diarrheal virus genes, and traditional RT-PCR was used to amplify and sequence the positive specimens of Norovirus. Phylogenetic analysis was performed.Results:Of the 57 specimens, 26 were norovirus positive by fluorescence quantitative real-time PCR, and 15 specimens were successfully amplified for the capsid protein gene segment. Phylogenetic analysis showed that all 15 positive specimens were of the GI.6 genotype of Norovirus, with a homology of 99.99% among the specimens and a genetic similarity of 98.84% to the LC380411 strain in Japan in 2005.Conclusions:The pathogen of this outbreak, GI.6 Norovirus, is rarely detected in the northeast of China, and its genotype is a subtype that has rarely been reported worldwide.

Objective:To identify the etiology and genetics of the human parainfluenza virus type 3 (HPIV3) virus which caused an acute respiratory tract infection outbreak in a primary school in Shenyang.Methods:Throat swab samples were collected from 17 students of the primary school where the epidemic of acute respiratory infection outbreak in December 2020 in Shenyang, Liaoning province. TaqMan low-density arrays (TLDA) real-time PCR was performed to simultaneously detect multiple respiratory pathogens. The HN gene was amplified using nested RT-PCR and sequenced, followed by phylogenetic analysis for those HPIV3 positive samples.Results:Of the 17 specimens, 10 were HPIV3 positive by TLDA Real-time PCR, and were accompanied by conditional pathogen infection, consequently, amplification result ed in 7 complete HN sequences. Phylogenetic analysis showed that the infected HPIV3 virus of the outbreak belonged to HPIV subtype C3a. All the 7 strains detected in this study belonged to subbranch C3a.1 evolutionary branch, with a nucleotide homology of 99.9%, a nucleotide homology of 94.56 with the prototype strain Wash/47885/57 and 99.5% with the most phylogenetically close strain of ZJ/11-s-165/KP690785/CHN/11.Conclusions:The HPIV3 virus caused the acute respiratory tract infection outbreak in Shenyang in 2020 and HPIV subtype C3a1 was detected firstly in Northeast China.