OBJECTIVE To assess the safety profile of sintilimab in combination with chemotherapy for the treatment of cholangiocarcinoma. METHODS The data of patients with cholangiocarcinoma from January 1st， 2021 to December 31st， 2022 were collected and divided into control group （29 cases） and observation group （18 cases） based on different medication regimens. Patients in the control group were treated with Gemcitabine hydrochloride for injection+Cisplatin for injection or Oxaliplatin for injection， the observation group was treated with Sintilimab injection based on the control group. Patients in each group underwent blood routine， liver and kidney function， biochemical and other examinations before and after each treatment cycle to observe the occurrence of adverse drug reactions. The correlation of adverse drug reactions with drugs was evaluated with Naranjo’s scale. RESULTS The correlation between blood toxicity and drug use was deemed “probable” in both groups； however， the observation group exhibited a significantly higher score， indicating a stronger correlation. In the control group， hepatotoxic reactions were classified as “suspicious” whereas in the observation group， they were categorized as “probable”. The correlation of gastrointestinal symptoms between the two groups was considered “possible”. Systemic symptoms， skin toxicity， musculoskeletal toxicity， endocrine toxicity and renal toxicity were all classified as having a “suspicious” correlation with drug use. The total incidence of blood toxicity in the observation group was significantly higher than control group （P＝0.014）. There was no statistically significant difference in the total incidences of hepatotoxic， gastrointestinal symptoms， systemic symptoms， skin toxicity， musculoskeletal toxicity， endocrine toxicity， renal toxicity， or the incidence of grade 3 or higher blood toxicity， hepatotoxic between the two groups （P＞0.05）. For the patients experiencing adverse drug reactions， the symptoms were alleviated following drug discontinuation or symptomatic supportive treatment. No fatalities occurred during the treatment period. CONCLUSIONS Sintilimab combined with chemotherapy may significantly increase the risk of blood toxicity in patients with cholangiocarcinoma， especially thrombocytopenia， but the adverse reactions are within a controllable range， and the overall safety is good.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

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Objective: To discuss the clinical value of neck circumference in screening for overweight and obesity in children and adolescents, so as to provide a theoretical basis and new ideas for overweight and obesity screening. Methods: From May to July 2023, a total of 2 493 children and adolescents aged 3 to 16 were sampled from three schools by the cluster random sampling method. General data, neck circumference, body mass index (BMI), waisttoheight ratio, and other information were collected. Mann-Whitney ranksum test, Spearman correlation analysis, and receiver operating characteristic (ROC) curve analysis were used to statistically analyze the data. Results: The prevalence of overweight and obesity in children and adolescents aged 3 to 16 was 33.05%, and the prevalence of abdominal obesity was 28.33%.The neck circumferences of boys and girls in the overweight and obese group showed statistically significant differences from the normal weight group during the preschool, schoolage, and adolescence periods (Z=-16.69--4.54, P<0.05). The neck circumferences of children of different genders were moderately positively correlated with BMI (r=0.50-0.79, P<0.01). ROC curve analysis showed that neck circumference had good accuracy in assisting the screening for the occurrence of overweight and obesity in boys and girls during the preschool, schoolage, and adolescence periods [the AUC for boys:0.80(0.71-0.89), 0.89(0.86-0.91), 0.84(0.81-0.87); the AUC for girls:0.76(0.67-0.86), 0.81(0.74-0.88), 0.73(0.68-0.77), P<0.01], the optimal neck circumference cutoff values for boys were 26.95, 28.95, 33.55 cm, and for girls were 25.05, 26.55, 28.35 cm respectively. The neck circumferences of boys and girls were moderately positively correlated with the waisttoheight ratio during the schoolage and adolescence periods (r=0.41-0.70, P<0.01). ROC curves showed that neck circumferences had good accuracy in assisting the screening for the occurrence of abdominal obesity in boys and girls during the schoolage and adolescence periods [the AUC for boys:0.89(0.86-0.92), 0.82(0.78-0.85); the AUC for girls:0.84(0.75-0.93), 0.87(0.75-0.93)], the optimal cutoff values for boys were 28.95, 32.75 cm; for girls were 26.45, 31.85 cm respectively. Conclusion The neck circumference can be applied to screen for overweight and abdominal obesity in children and adolescents, and can provide new ideas for the prevention and control of overweight and obesity in children and adolescents.

Objective: To investigate the factors affecting the development of malnutrition among the elderly patients with type 2 diabetes mellitus (T2DM), so as to provide insights into the prevention of malnutrition among the elderly patients with T2DM. Methods: Elderly T2DM patients at ages of 60 years and older admitted to Hangzhou First People's Hospital affiliated to Zhejiang University School of Medicine from June 2022 to June 2023 were recruited. Patients' demographics, number of medicines administered and comorbidities were collected using questionnaire surveys, and glycosylated hemoglobin (HbA1c), serum albumin (ALB) and hemoglobin levels were collected from medical records. The nutrition status was assessed with the new version of the Mini Nutritional Assessment Short Form (MNA-SF). Factors affecting the development of malnutrition were among the elderly T2DM patients identified using a multivariable logistic regression model. Results: A total of 382 elderly T2DM patients were enrolled, including 226 men (59.16%) and 156 women (40.84%) and with a mean age of (70.06±8.41) years. The prevalence of malnutrition was 22.25% among participants. Multivariable logistic regression analysis identified age (70 to 79 years, OR=1.261, 95%CI: 1.007-1.158; 80 years and older, OR=3.285, 95%CI: 1.618-6.662), three and more types of comorbidities (OR=2.790, 95%CI: 1.254-5.191), use of multiple medicines (OR=3.501, 95%CI: 1.841-6.658), sleep disorders (OR=1.613, 95%CI: 1.120-2.322), regular exercises (OR=0.280, 95%CI: 0.115-0.614), serum ALB of 35 g/L and greater (OR=0.272, 95%CI: 0.102-0.560) and HbA1c of 7% and higher (OR=2.914, 95%CI: 1.445-5.881) as factors affecting the development of malnutrition among elderly patients with T2DM. Conclusions The risk of malnutrition is associated with age, types of comorbidities, use of multiple medicines, sleep disorders, regular exercise, HbA1c and ALB among the elderly patients with T2DM. Periodical nutrition screening and intensified health education are recommended for T2DM patients.

【Objective】 To objectively evaluate the quality control level of blood testing process in blood banks through quantitative monitoring and trend analysis, and to promote the homogenization level and standardized management of blood testing laboratories in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation service, blood component preparation, blood testing, blood supply and quality control was established. The questionnaire Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong province. Quality monitoring indicators of each blood bank from January to December 2022 were collected, and 31 indicators in terms of blood testing were analyzed using SPSS25.0 software. 【Results】 The proportion of unqualified serological tests in 17 blood bank laboratories was 55.84% for ALT, 13.63% for HBsAg, 5.08% for anti HCV, 5.62% for anti HIV, 18.18% for anti TP, and 1.65% for other factors (mainly sample quality). The detection unqualified rate and median were (1.23±0.57)% and 1.11%, respectively. The ALT unqualified rate and median were (0.74±0.53)% and 0.60%, respectively. The detection unqualified rate was positively correlated with ALT unqualified rate (r=0.974, P<0.05). The unqualified rate of HBsAg, anti HCV, anti HIV and anti TP was (0.15±0.09)%, (0.05±0.04)%, (0.06±0.03)% and (0.20±0.05)% respectively. The average unqualified rate, average hemolysis rate, average insufficient volume rate and the abnormal hematocrit rate of samples in 17 blood bank laboratories was 0.21‰, 0.08‰, 0.01‰ and 0.02‰ respectively. There were differences in the retest concordance rates of four HBsAg, anti HCV and anti HIV reagents, and three anti TP reagents among 17 blood bank laboratories (P<0.05). The usage rate of ELISA reagents was (114.56±3.30)%, the outage rate of ELISA was (10.23±7.05) ‰, and the out of range rate of ELISA was (0.90±1.17) ‰. There was no correlation between the out of range rate, outrage rate and usage rate (all P>0.05), while the outrage rate was positively correlated with the usage rate (r=0.592, P<0.05). A total of 443 HBV DNA positive samples were detected in all blood banks, with an unqualified rate of 3.78/10 000; 15 HCV RNA positive samples were detected, with an unqualified rate of 0.13/10 000; 5 HIV RNA positive samples were detected, with an unqualified rate of 0.04/10 000. The unqualified rate of NAT was (0.72±0.04)‰, the single NAT reaction rate [(0.39±0.02)‰] was positively correlated with the single HBV DNA reaction rate [ (0.36±0.02) ‰] (r=0.886, P<0.05). There was a difference in the discriminated reactive rate by individual NAT among three blood bank laboratories (C, F, H) (P<0.05). The median resolution rate of 17 blood station laboratories by minipool test was 36.36%, the median rate of invalid batch of NAT was 0.67%, and the median rate of invalid result of NAT was 0.07‰. The consistency rate of ELISA dual reagent detection results was (99.63±0.24)%, and the median length of equipment failure was 14 days. The error rate of blood type testing in blood collection department was 0.14‰. 【Conclusion】 The quality monitoring indicator system for blood testing process in Shandong can monitor potential risks before, during and after the experiment, and has good applicability, feasibility, and effectiveness, and can facilitate the continuous improvement of laboratory quality control level. The application of blood testing quality monitoring indicators will promote the homogenization and standardization of blood quality management in Shandong, and lay the foundation for future comprehensive evaluations of blood banks.

【Objective】 To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. 【Results】 The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. 【Conclusion】 The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.

【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.

Objective:To investigate the differences in resting-state functional connectivity (FC) between patients with vestibular migraine (VM) and migraine without aura (MwoA) in order to infer the possible neuroimaging mechanisms of VM.Methods:Thirty VM patients admitted to the Department of Neurology of the Second Affiliated Hospital of Xuzhou Medical University from December 2019 to December 2022 were selected as the experimental group (EG) (6 males and 24 females, with mean age of 38.3 years) and 26 MwoA patients as the control group (7 males and 19 females, mean age 35.5 years). General demographic and clinical data such as gender, age, year of education, course of disease and frequency of attacks were collected for all the patients, as well as data of Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Montreal Cognitive Assessment (MoCA), headache Visual Arialogue Scale (VAS), Headache Impact Test 6 (HIT-6) and Migraine Disability Assessment Questionnaire (MIDAS). VM patients were also assessed by Dizziness Handicap Inventory (DHI), dizziness VAS and Vestibular Disorders Activities of Daily Living (VADL) scales. All patients underwent resting-sate functional Magnetic Resonance Imaging (fMRI) scans. Bilateral parietal opercular cortex 2 (OP2) and primary visual cortex (V1) were used as regions of interests (ROIs). Differences in FC between ROIs and other brain regions were calculated between the two groups. In view of the brain regions with significant differences, z-values of FC were extracted for each subject in the EG, and Pearson partial correlation analysis was conducted between z-values of FC and clinical characteristics of patients, P<0.05 was considered to have significant correlation. SPSS 22.0 was used for statistical analysis. Results:There was no significant difference in gender, age, years of education, course of disease, frequency of attack and scores of MoCA, HAMA and HAMD between the two groups ( P>0.05). Headache VAS, HIT-6 and MIDAS scores in VM patients were significantly lower than those in MwoA patients ( P<0.05). Compared with MwoA patients, the FC between left OP2 and bilateral precuneus and left thalamus was significantly increased in VM patients, and the FC between right OP2 and left thalamus and right anterior cingulate gyrus were significantly increased ( P<0.05, False Discovery Rate correction). Correlation analysis showed that the FC between left OP2 and left precuneus was positively correlated with DHI score in VM patients ( P=0.007, r=0.480), and the FC between right OP2 and left thalamus was positively correlated with the disease course in VM patients ( P=0.015, r=0.439). Conclusions:The pathogenesis of VM may be related to the altered FC of vestibular, pain and visual-motor networks, abnormalities of these neural pathways may be important imaging biomarkers of VM pathogenesis.