Renal Fanconi syndrome (FS) is a rare renal manifestation of primary Sjögren's syndrome (pSS). This study aims to analyze the clinical and prognostic characteristics of patients with pSS-associated renal FS (pSS-FS) and provide insights for clinical management.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

Objective To investigate the value of enhanced magnetic resonance imaging(MRI)radiomics based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)in predicting the histopathological grading of hepatocellular carcinoma(HCC)before surgery.Methods A total of 101 patients with HCC who were treated in the Second Affiliated Hospital of Kunming Medical University from January 2021 to June 2024 were selected as study subjects and randomly assigned to the training set(n=70)and the test set(n=31)in a ratio of 7∶3.Radiomics features were extracted from portal venous phase(PVP)and hepatobiliary phase(HBP)images,and support vector machine(SVM)image omics model was constructed after dimensionality reduction by least absolute shrinkage and selection operator logistic regression.Model performance was assessed by area under the curve(AUC),accuracy,sensitivity,and specificity.Results After feature screening,the SVM model was constructed by retaining the best image omics features of 2 HBP,5 PVP and 11 combined models.The AUC of PVP,HBP and PVP+HBP combined models were 0.870,0.914 and 0.952,respectively,showing a good ability to distinguish between high and low grade HCC.Conclusion Compared with the independent model,PVP+HBP combined model has better performance in predicting HCC histopathological grading,and can be used as a non-invasive auxiliary tool to help distinguish between high-grade and low-grade HCC before surgery.

Objective:To explore the diagnostic value of digital mammography combined with serum glutathione specific gamma-glutamyl transpeptidase 1(CHAC1)and retinoic acid-induced protein 14(RAI14)in identifying benign and malignant breast masses.Methods:A total of 189 patients with breast masses who were treated at Handan Maternal and Child Health Care Hospital from June 2019 to June 2024 were prospectively selected as the research subjects.According to the results of pathological biopsy,they were divided into benign mass group(128 cases)and malignant mass group(61 cases).All patients underwent digital mammography detection.The levels of serum CHAC1 and RAI14 were detected by enzyme-linked immunosorbent assay(ELISA).The general clinical data of the patients were collected and analyzed.Multivariate logistic regression analysis was used to analyze the factors of influencing benign and malignant nature of breast masses.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of CHAC1 and RAI14 for the benign and malignant nature of breast masses.The Kappa test was used to assess the consistency of results between each diagnostic method and the pathological detection.Results:For 189 patients with breast masses,digital mammography identified 56 cases of malignant masses and 133 cases of benign masses,and 13 cases of them were misdiagnosis and 18 cases of them were missed diagnosis.It showed a moderate consistency with the results of pathological detection(Kappa=0.617,P<0.05).Compared with the benign mass group,the levels of serum CHAC1 and RAI14 in the malignant mass group were significantly higher,and the differences of them between the two groups were statistically significant(t=12.249,12.512,P<0.05).The age,menopausal time,CHAC1 and RAI14 of the patients were all risk factors that can affect the benign and malignant nature of breast masses(OR=1.368,1.305,1.897,1.995,P<0.05).The area under curve(AUC),sensitivity and specificity of CHAC1 were respectively 0.816(95%CI:0.753～0.868),70.49%and 89.06%in diagnosing the benign and malignant nature of breast masses.These indicators of RAI14 were respectively 0.838(95%CI:0.778～0.888),68.85%and 89.84%in diagnosing the benign and malignant nature.The combined detection of the three methods identified 74 cases of malignant masses and 115 cases of benign masses,with 15 cases of misdiagnosis and 2 cases of missed diagnosis,which showed an extremely high consistency with the results of pathological detection(Kappa=0.805,P<0.001).The sensitivity(96.72%),negative predictive value(98.26%)and accuracy(91.01%)of the combined detection of digital mammography,serum CHAC1 and RAI14 were significantly higher than those of each alone detection of them,and the differences of them were significant(x2=15.310,16.623,15.310,11.690,12.402,11.572,5.276,5.276,4.677,P<0.05).Conclusion:The levels of serum CHAC1 and RAI14 appear increase in malignant breast masses,and digital mammography combined with serum CHAC1 and RAI14 has a certain of identification value for benign and malignant nature of breast masses.

OBJECTIVE To enhance the training quality of anticoagulation specialty clinical pharmacists,address the resource limitations of a single training base,and promote homogenization of training quality.METHODS A multi-base joint training system for anticoagulation specialty clinical pharmacists in the Beijing area was established.A mixed research method was employed,collecting data through performance comparisons,questionnaires,and qualitative interviews to compare the differences between the joint training model(experimental group,n=16)and traditional teaching model(the control group,n=17).RESULTS The established joint training system encompassed a unified joint training teaching plan,the formation of a joint training teaching team,the establishment of joint theoretical teaching courses,the implementation of joint case discussions and literature presentations,as well as strengthening the assessment throughout the joint training process.Compared to the control group[theoretical assessment of(76.44±3.66)points,case assessment of(84.31±3.27)points],the experimental group students achieved higher scores in theoretical assessment[(79.85±4.64)points]and case assessment[(88.70±5.51)points](P＜0.05).Through questionnaires and qualitative interviews,the trainees in experimental group were highly satisfied with the joint training model in terms of theoretical learning,communication skills,and teaching interaction.CONCLUSIONS The multi-base collaborative training system for anticoagulation specialty clinical pharmacists can integrate advantageous resources and significantly enhance the training effectiveness of anticoagulation specialty clinical pharmacists,offering value for wider promotion.

Objective To investigate the value of enhanced magnetic resonance imaging(MRI)radiomics based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)in predicting the histopathological grading of hepatocellular carcinoma(HCC)before surgery.Methods A total of 101 patients with HCC who were treated in the Second Affiliated Hospital of Kunming Medical University from January 2021 to June 2024 were selected as study subjects and randomly assigned to the training set(n=70)and the test set(n=31)in a ratio of 7∶3.Radiomics features were extracted from portal venous phase(PVP)and hepatobiliary phase(HBP)images,and support vector machine(SVM)image omics model was constructed after dimensionality reduction by least absolute shrinkage and selection operator logistic regression.Model performance was assessed by area under the curve(AUC),accuracy,sensitivity,and specificity.Results After feature screening,the SVM model was constructed by retaining the best image omics features of 2 HBP,5 PVP and 11 combined models.The AUC of PVP,HBP and PVP+HBP combined models were 0.870,0.914 and 0.952,respectively,showing a good ability to distinguish between high and low grade HCC.Conclusion Compared with the independent model,PVP+HBP combined model has better performance in predicting HCC histopathological grading,and can be used as a non-invasive auxiliary tool to help distinguish between high-grade and low-grade HCC before surgery.

Objective:To explore the diagnostic value of digital mammography combined with serum glutathione specific gamma-glutamyl transpeptidase 1(CHAC1)and retinoic acid-induced protein 14(RAI14)in identifying benign and malignant breast masses.Methods:A total of 189 patients with breast masses who were treated at Handan Maternal and Child Health Care Hospital from June 2019 to June 2024 were prospectively selected as the research subjects.According to the results of pathological biopsy,they were divided into benign mass group(128 cases)and malignant mass group(61 cases).All patients underwent digital mammography detection.The levels of serum CHAC1 and RAI14 were detected by enzyme-linked immunosorbent assay(ELISA).The general clinical data of the patients were collected and analyzed.Multivariate logistic regression analysis was used to analyze the factors of influencing benign and malignant nature of breast masses.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of CHAC1 and RAI14 for the benign and malignant nature of breast masses.The Kappa test was used to assess the consistency of results between each diagnostic method and the pathological detection.Results:For 189 patients with breast masses,digital mammography identified 56 cases of malignant masses and 133 cases of benign masses,and 13 cases of them were misdiagnosis and 18 cases of them were missed diagnosis.It showed a moderate consistency with the results of pathological detection(Kappa=0.617,P<0.05).Compared with the benign mass group,the levels of serum CHAC1 and RAI14 in the malignant mass group were significantly higher,and the differences of them between the two groups were statistically significant(t=12.249,12.512,P<0.05).The age,menopausal time,CHAC1 and RAI14 of the patients were all risk factors that can affect the benign and malignant nature of breast masses(OR=1.368,1.305,1.897,1.995,P<0.05).The area under curve(AUC),sensitivity and specificity of CHAC1 were respectively 0.816(95%CI:0.753～0.868),70.49%and 89.06%in diagnosing the benign and malignant nature of breast masses.These indicators of RAI14 were respectively 0.838(95%CI:0.778～0.888),68.85%and 89.84%in diagnosing the benign and malignant nature.The combined detection of the three methods identified 74 cases of malignant masses and 115 cases of benign masses,with 15 cases of misdiagnosis and 2 cases of missed diagnosis,which showed an extremely high consistency with the results of pathological detection(Kappa=0.805,P<0.001).The sensitivity(96.72%),negative predictive value(98.26%)and accuracy(91.01%)of the combined detection of digital mammography,serum CHAC1 and RAI14 were significantly higher than those of each alone detection of them,and the differences of them were significant(x2=15.310,16.623,15.310,11.690,12.402,11.572,5.276,5.276,4.677,P<0.05).Conclusion:The levels of serum CHAC1 and RAI14 appear increase in malignant breast masses,and digital mammography combined with serum CHAC1 and RAI14 has a certain of identification value for benign and malignant nature of breast masses.

Objective:To analyze the clinical characteristics of HBeAg-negative chronic hepatitis B virus (HBV) infection in indeterminate phase with a low viral load.Methods:One hundred and thirty-nine cases with persistent normal alanine aminotransferase (ALT) and HBeAg-negative chronic HBV infection with low viral load who visited the Department of Infectious Diseases of the Affiliated Hospital of Yan'an University from September 2013 to July 2021 were retrospectively collected. Patients were divided into low hepatitis B surface antigen (HBsAg) group ( n=59) and high HBsAg group ( n=80) according to the baseline hepatitis B surface antigen (HBsAg) level. The changes of various indicators at baseline and follow-up endpoints were analyzed between the two groups. The rate of HBsAg decrease ≥0.5 log 10IU/ml, HBV DNA negative conversion rate, ALT persistently normal rate, and liver stiffness measurement (LSM) persistently normal rate at the end of the follow-up were compared. The t-test, or non-parametric Mann-Whitney U test, and Wilcoxon signed rank test were used for comparison of continuous data between the two groups. The χ2 test, or Fisher's exact probability method, was used for comparing count data between the two groups. Results:There were statistically significant differences in age, gender, and HBsAg at baseline, but there was no statistically significant difference in terms of family history of hepatitis B, follow-up time, anti-HBe, anti-HBc, HBV DNA, ALT, aspartate aminotransferase (AST), albumin (Alb), and LSM between the two groups. There were statistically significant differences in HBsAg, anti-HBc, and ALT levels before and after follow-up in the low HBsAg group, but no statistically significant differences in anti-HBe, HBV DNA, AST, Alb, and LSM levels. There were statistically significant differences in HBsAg and anti-HBc before and after follow-up in the high HBsAg group, but no statistically significant differences in anti-HBe, HBV DNA, ALT, AST, Alb, and LSM. A liver biopsy was performed in 66 patients during follow-up, and 27.27% of the patients had moderate liver damage. In the low HBsAg group, 45.76% of patients had a HBsAg decrease rate of ≥0.5 log 10IU/ml, 10.17% of patients had HBV DNA negative conversion, 88.14% of patients had a persistently normal ALT, and 96.61% of patients had a persistently normal LSM at the end of follow-up. In the high HBsAg group, 3.75% of patients had a HBsAg decrease of ≥0.5 log 10IU/ml, no patient had a HBV DNA negative conversion, 90% of patients had a persistently normal ALT, and 98.75% of patients had a persistently normal LSM. There were statistically significant differences in the HBsAg decrease rate (45.76% vs. 3.75%, χ2=32.975, P＜0.001) and HBV DNA negative conversion rate (10.17% vs. 0, χ2=6.219, P=0.013) between the two groups at the end of follow-up, but there were no statistically significant differences in the persistently normal ALT and LSM rates. Conclusion:The vast majority of patients with HBeAg-negative chronic HBV infection in the indeterminate phase with low viral load had persistent hypoviremia over the long term. Some patients have liver tissue damage and may progress to cirrhosis and liver cancer as a result of HBV DNA positivity, so antiviral treatment should be initiated in all.

Objective:To explore the application of COVID-19-specific IgG antibody in identifying epidemic Omicron BA.5 strain infection.Method:Omicron BF.7/BA.5 naturally infected population, healthy population vaccinated with the COVID-19 vaccine, and Omicron BF.7/BA.5 breakthrough cases were enrolled into this study. The serum WT-S-IgG and BA.5-S-IgG were detected by indirect ELISA, and the serum-specific IgG antibody levels of different populations were compared. The application value of the two antibody titers and the ratio of the two antibodies in identifying Omicron BA.5 epidemic strain infection were explored by the ROC curve, aiming to provide technical support for pathogen diagnosis.Results:The antibody titers of WT-S-IgG and BA.5-S-IgG in the breakthrough cases were higher than those in the naturally infected population and the healthy population ( P<0.05). The area under the curve (AUC) of WT-S-IgG and BA.5-S-IgG in identifying epidemic Omicron BA.5 strain infection was 0.947 and 0.961, respectively. The AUC of BA.5-S-IgG and WT-S-IgG antibody titer ratio was 0.873. When the antibody titer ratio was 0.855, the sensitivity and specificity were 80.00% and 90.00%, respectively. According to the interval since the last infection, the AUC of the ratio of BA.5-S-IgG to WT-S-IgG antibody titer to identify the infection of epidemic strains less than 30 days and more than 30 days was 0.887 and 0.863, respectively, and the sensitivity and specificity were both above 80%. Conclusion:Both BA.5-S-IgG and WT-S-IgG, as well as the combination of these two antibodies, are of high value in the identification of epidemic strains.

Objective:To explore the application of COVID-19-specific IgG antibody in identifying epidemic Omicron BA.5 strain infection.Method:Omicron BF.7/BA.5 naturally infected population, healthy population vaccinated with the COVID-19 vaccine, and Omicron BF.7/BA.5 breakthrough cases were enrolled into this study. The serum WT-S-IgG and BA.5-S-IgG were detected by indirect ELISA, and the serum-specific IgG antibody levels of different populations were compared. The application value of the two antibody titers and the ratio of the two antibodies in identifying Omicron BA.5 epidemic strain infection were explored by the ROC curve, aiming to provide technical support for pathogen diagnosis.Results:The antibody titers of WT-S-IgG and BA.5-S-IgG in the breakthrough cases were higher than those in the naturally infected population and the healthy population ( P<0.05). The area under the curve (AUC) of WT-S-IgG and BA.5-S-IgG in identifying epidemic Omicron BA.5 strain infection was 0.947 and 0.961, respectively. The AUC of BA.5-S-IgG and WT-S-IgG antibody titer ratio was 0.873. When the antibody titer ratio was 0.855, the sensitivity and specificity were 80.00% and 90.00%, respectively. According to the interval since the last infection, the AUC of the ratio of BA.5-S-IgG to WT-S-IgG antibody titer to identify the infection of epidemic strains less than 30 days and more than 30 days was 0.887 and 0.863, respectively, and the sensitivity and specificity were both above 80%. Conclusion:Both BA.5-S-IgG and WT-S-IgG, as well as the combination of these two antibodies, are of high value in the identification of epidemic strains.