Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

Objective To analyze the proportion and clinicopathological characteristics of HER2-positive breast cancer patients with BRCA1/2 pathogenic variants, and their response to neoadjuvant anti-HER2 targeted therapy. Methods The clinicopathological data of 531 breast cancer patients with germline BRCA1/2 pathogenic variants (201 with BRCA1 variants and 330 with BRCA2 variants) were analyzed. Results Among the 201 BRCA1 and 330 BRCA2 variants, 17 (8.5%) and 42 (12.7%) HER2-positive breast cancer cases were identified, respectively, accounting for 11.1% of all BRCA1/2-mutated breast cancers. Compared with BRCA1/2-mutated HR-positive/HER2-negative patients, HER2-positive patients did not present any significant differences in clinicopathological features; however, compared with triple-negative breast cancer patients, HER2-positive patients had a later onset age and lower tumor grade. Among the 17 patients who received neoadjuvant anti-HER2 targeted therapy, 10 cases achieved pCR (58.8%), whereas 7 cases did not (41.2%). Conclusion HER2-positive breast cancer accounts for more than 10% of BRCA1/2-mutated patients. Approximately 40% of these patients fail to achieve pCR after neoadjuvant targeted therapy. This phenomenon highlights the possibility of combining anti-HER2 targeted agents with poly (adenosine diphosphate-ribose) polymerase inhibitors.

Objective: To investigate the current status and influencing factors of overweight and obesity among adults in Jiaxing City, Zhejiang Province, so as to provide a basis for developing targeted weight management measures. Methods: In 2024, a multistage stratified random cluster sampling method was employed to recruit permanent residents aged ≥18 years from Jiaxing City for questionnaire surveys. Data on basic information, lifestyle behaviors, and history of chronic diseases were collected. Height and body weight were measured, and overweight and obesity were determined based on body mass index (BMI). The influencing factors of overweight and obesity among adults were analyzed by a multivariable logistic regression model. Results: Totally 10 509 questionnaires were allocated, and 9 802 valid questionnaires were recovered, with an effective recovery rate of 93.27%. Among the respondents, 4 808 (49.05%) were males and 4 994 (50.95%) were females, with a mean age of (51.27±17.26) years. A total of 4 884 overweight and obesity individuals were identified, with a detection rate of 49.83%. Multivariable logistic regression analysis showed that gender (male, OR=1.719, 95%CI: 1.578-1.873), age (≥60 years, OR=0.802, 95%CI: 0.652-0.986), educational level (bachelor and above, OR=0.640, 95%CI: 0.518-0.791), marital status (being married/cohabiting, OR=1.224, 95%CI: 1.009-1.486), adequate nut intake (OR=0.910, 95%CI: 0.832-0.995), hypertension (OR=2.462, 95%CI: 2.219-2.732), and dyslipidemia (OR=1.629, 95%CI: 1.444-1.837) were statistically associated with overweight and obesity among adults. Conclusion The detected rate of overweight and obesity among adults in Jiaxing City was relatively high, and was mainly associated with gender, age, education level, marital status, nut intake, hypertension, and dyslipidemia.

OBJECTIVES: Hypertriglyceridemic acute pancreatitis (HTG-AP) has a rapid onset and is associated with a high risk of progression and recurrence. Early identification of patients at risk of severe disease can help reduce the likelihood of multiple organ failure and mortality. This study aims to investigate the changes in inflammatory composite markers and D-dimer (D-D) levels in young and middle-aged/elderly patients with HTG-AP and to evaluate their predictive value for disease progression. METHODS: A total of 230 patients with HTG-AP admitted to Chongqing University Jiangjin Hospital (Jiangjin Central Hospital) between 2017 and 2023 were retrospectively enrolled. Patients were first divided into a young group (≤45 years) and a middle-aged/elderly group (>45 years), and then stratified into mild and severe groups based on disease severity. Inflammatory composite markers, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), C-reactive protein-to-lymphocyte ratio (CLR), systemic inflammation response index (SIRI), systemic immune inflammation index (SII), as well as D-D levels, were compared among groups. Least absolute shrinkage and selection operator (LASSO) regression and Logistic regression were used to identify independent risk factors for disease progression in each age group. Receiver operating characteristic (ROC) curves and the DeLong test were used to assess and compare the predictive performance (area under the curve, AUC) of risk factors. Internal validation was performed using the bootstrap method (n=1 000). RESULTS: No significant differences in NLR, PLR, MLR, SIRI, SII, CLR, or D-D levels were observed between the young (n=127) and middle-aged/elderly (n=103) groups (all P>0.05). Among young patients, the severe group (n=59) had significantly higher NLR, SIRI, SII, CLR, and D-D levels compared to the mild group (n=68) (all P<0.05). Among middle-aged/elderly patients, CLR and D-D levels were significantly higher in the severe group (n=49) than in the mild group (n=54) (P<0.05). LASSO and Logistic regression analyses identified elevated D-D as an independent risk factor for disease progression in young patients (P=0.007, OR=1.458, 95% CI 1.107 to 1.920), while both D-D (P=0.001, OR=2.267, 95% CI 1.413 to 3.637) and CLR (P=0.003, OR=1.007, 95% CI 1.003 to 1.012) were independent risk factors in middle-aged/elderly patients. ROC analysis showed that D-D predicted disease progression in young and middle-aged/elderly patients with AUCs of 0.653 and 0.741, sensitivities of 67.8% and 57.1%, and specificities of 72.1% and 88.9%, respectively. CLR predicted progression in middle-aged/elderly patients with an AUC of 0.687, sensitivity of 63.3%, and specificity of 70.4%. DeLong test showed no significant difference in AUC between D-D and CLR for middle-aged/elderly patients (Z=0.993, P=0.321). Internal validation via bootstrap analysis yielded a D-D AUC of 0.732, with sensitivity and specificity of 68.1% and 91.0%, respectively. CONCLUSIONS Differences in inflammatory response and coagulation function exist across age groups and disease severities in HTG-AP patients. Elevated D-D is an independent predictor of disease progression in both young and middle-aged/elderly patients, while CLR also predicts progression in the latter group. D-D, in particular, demonstrates strong predictive value for severe disease in middle-aged/elderly patients with HTG-AP.
Humans ; Fibrin Fibrinogen Degradation Products/metabolism* ; Disease Progression ; Middle Aged ; Pancreatitis/etiology* ; Male ; Female ; Retrospective Studies ; Adult ; Biomarkers/blood* ; Hypertriglyceridemia/blood* ; Acute Disease ; Predictive Value of Tests ; Aged ; Inflammation ; C-Reactive Protein/analysis* ; Neutrophils ; Age Factors

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

Objective: To investigate the trend in mortality of injury in Jiaxing City, Zhejiang Province, from 2010 to 2022, so as to provide the evidence for developing injury prevention and intervention strategies. Methods: Data on injury mortality in Jiaxing City from 2010 to 2022 were obtained from the Jiaxing Chronic Disease Monitoring Information Management System. Crude mortality was calculated, and standardized mortality was computed using data of the Sixth National Population Census in 2010. Descriptive analysis of injury mortality and cause of injury death was conducted by gender and age. The average annual percent change (AAPC) was used to analyze the trend in mortality of injury from 2010 to 2022. Results: From 2010 to 2022, the crude injury mortality in Jiaxing City was 79.24/100 000, and the standardized mortality was 47.08/105. The crude injury mortality was higher in males than in females (80.51/100 000 vs. 78.01/100 000, P<0.05). The standardized injury mortality for the total population, males, and females showed significant declining trends (AAPC=-2.011%, -2.373% and -1.542%, all P<0.05). The crude injury mortality increased with age (P<0.05), peaking in the age group of ≥85 years (1 806.46/100 000). Decreasing trends were observed in the age groups of 0-<15 years, 15-<45 years, and 45-<65 years (AAPC=-7.794%, -4.698% and -4.521%, all P<0.05), while no significant trend was found in the age group of ≥65 years. The top five causes of injury death were falls (29.96/100 000), motor vehicle traffic accidents (17.81/100 000), drowning (6.50/100 000), suicide (5.40/100 000), and poisoning (0.69/100 000). Drowning was the leading cause of injury death in the age group of 0-<15 years, while falls were the primary cause in the age group of ≥65 years. Motor vehicle traffic accidents were the top cause of injury death in age groups of 15-<45 years and 45-<65 years. From 2010 to 2022, the standardized mortality of falls showed an upward trend (AAPC=1.094%, P<0.05), while the standardized mortality of motor vehicle traffic accidents, drowning, and suicide demonstrated downward trends (AAPC=-7.576%, -2.745% and -2.786%, all P<0.05). Conclusions The standardized injury mortality in Jiaxing City showed an overall downward trend from 2010 to 2022. Falls were the leading cause of injury death, and particular attention should be paid to the prevention and control of falls among the elderly aged ≥65 years.

OBJECTIVE To mine the adverse drug events （ADE） signals for gilteritinib， and provide a reference for safe drug use in clinic. METHODS ADE reports with gilteritinib as the primary suspected drug were extracted from the FDA Adverse Event Reporting System （FAERS） database from February 1st， 2018 to December 31st， 2023. Reporting odds ratio （ROR） and proportional reporting ratio （PRR） were applied to detect the risk signals from the data in the FAERS database. The classification and statistics of collected signal data were conducted by using the preferred term （PT） and systemic organ class （SOC） in ADE terminology set of the Medical Dictionary for Regulatory Activities （24.1 edition）. RESULTS Totally， 2 755 gilteritinib-related ADE reports were collected from the database， involving 676 ADE signals （95 positive signals）， 313 PTs and 25 SOCs. Among them， nine signals were not recorded in the package insert. The top 5 PTs consisted of abnormal liver function， decreased platelet count， febrile neutropenia， pneumonia and myelosuppression. The top 6 SOCs for positive signal counts were examinations， general disorders and administration site conditions， respiratory， thoracic and mediastinal disorders， infections and infestations， heart organ disorders， and nervous system disorders. ADEs not recorded in the drug package insert included pneumonia， myelosuppression， decreased blood cell count， sepsis， hemorrhage， infection （not specifically referred to）， septic shock， respiratory failure， and aspergillosis. CONCLUSIONS In addition to paying attention to common ADEs such as liver dysfunction and thrombocytopenia， it is necessary to monitor ADEs with strong signals that are not mentioned in the drug instructions when using gefitinib， such as pneumonia， bone marrow suppression， cytopenia， sepsis， bleeding， infection （not specifically referred to）， septic shock， respiratory failure， Aspergillus infection， elevated serum creatinine and interstitial lung disease.

Objective To study the pharmacokinetic characteristics of lamotrigine tablets in Chinese healthy subjects under fasting and fed conditions,and to evaluate the bioequivalence and safety profiles between the domestic test preparation and the original reference preparation.Methods Twenty-four Chinese healthy male and female subjects were enrolled under fasting and fed conditions,18 male and 6 female subjects under fasting conditions,17 male and 7 female subjects under fed conditions.A random,open,single-dose,two preparations,two sequences and double-crossover design was used.Plasma samples were collected over a 72-hour period after give the test or reference preparations 50 mg under fasting and fed conditions.The concentration of lamotrigine in plasma was detected by liquid chromatography-tandem mass spectrometry,and the main pharmacokinetic parameters were calculated to evaluate the bioequivalence by WinNonLin 8.1 program.Results The main pharmacokinetic parameters of single-dose the tested and reference preparations were as follows:The fasting condition Cmax were(910.93±248.02)and(855.87±214.36)ng·mL-1;tmax were 0.50(0.25,4.00)and 1.00(0.25,3.50)h;t1/2 were(36.1±9.2)and(36.0±8.2)h;AUC0_72h were(27 402.40±4 752.00)and(26 933.90±4 085.80)h·ng·mL-1.The fed condition Cmax were(701.62±120.67)and(718.95±94.81)ng·mL-1;tmax were 4.00(1.00,5.00)and 4.00(0.50,5.00)h;t1/2 were(44.2±12.4)and(44.0±12.0)h;AUC0-72h were(30 253.20±7 018.00)and(30 324.60±6 147.70)h·ng·mL-1.The 90％confidence intervals of the geometric mean ratios of Cmax and AUC0-72 hfor the test preparation and reference preparation were all between 80.00％and 125.00％under fasting and fed conditions.Conclusion Two kinds of lamotrigine tablets are bioequivalent,and have similar safety in Chinese healthy male and female subjects under fasting and fed conditions.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective To construct a risk prediction model for postoperative delirium in elderly patients with primary liver cancer,and to validate its application value.Methods A retrospective analysis was performed for 175 elderly patients with primary liver cancer who were admitted to Tianyou Hospital Affiliated to Wuhan University of Science and Technology from March 2020 to January 2023.The incidence rate of postoperative delirium was recorded,and the univariate and multivariate regression analyses was performed for factors that may affect the onset of delirium.A prediction model was constructed,and the clinical application value of the prediction model was analyzed and validated.The independent-samples t test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.The univariate and multivariate logistic regression analyses were performed for factors that may affect the onset of delirium in elderly patients with primary liver cancer,and the receiver operating characteristic(ROC)curve was used to investigate the value of the model in predicting the onset of delirium.Results Among the 175 elderly patients with primary liver cancer,41 experienced postoperative delirium,with an incidence rate of 23.43%.The univariate analysis showed that age,presence of more than two underlying diseases,Child-Pugh class of liver function,preoperative blood lactate,time of operation,preoperative hemoglobin,and preoperative serum albumin were associated with the onset of postoperative delirium(t=3.534,χ2=12.000,χ2=4.938,t=7.561,t=5.768,t=5.141,t=6.148,P<0.05).The multivariate logistic regression analysis of the factors with statistical significance in the univariate analysis showed that time of operation,preoperative hemoglobin,preoperative serum albumin,and age were included in the regression model(P<0.05),and they were independent risk factors for the onset of postoperative delirium in elderly patients with primary liver cancer.According to the results of the multivariate logistic regression analysis,a prediction model for postoperative delirium in elderly patients with primary liver cancer was constructed as follows:-2.222+3.678×time of operation-2.441×preoperative hemoglobin-3.904×preoperative serum albumin+1.807×age.The prediction performance of this model was analyzed,with an area under the ROC curve of 0.931(95%confidence interval:0.890-0.971,P<0.001)and an optimal cut-off value of-1.604(with a sensitivity of 87.80%and a specificity of 87.30%).A total of 56 elderly patients with primary liver cancer who underwent radical surgery in Tianyou Hospital Affiliated to Wuhan University of Science and Technology from February 2023 to June 2023 were enrolled in a prospective study for model validation.According to the above risk prediction model,there were 14 patients in the high-risk group and 42 patients in the low-risk group,and the high-risk group had a significantly higher incidence rate of postoperative delirium than the low-risk group(71.43%vs 11.90%,χ2=16.056,P<0.05).Conclusion Age,time of operation,preoperative serum albumin,and preoperative hemoglobin are important influencing factors for the onset of postoperative delirium in elderly patients with primary liver cancer.The risk prediction model based on these factors has a good prediction performance,which holds promise for further in-depth research.