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.

ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

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.

BACKGROUND: Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS. METHODS: This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide. RESULTS: Eighty-two patients were assigned to variant ( n  = 42) and wild type groups ( n  = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study. CONCLUSION: ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients. REGISTRATION NCT04410965, https://clinicaltrials.gov .
Humans ; Crotonates/adverse effects* ; Toluidines/adverse effects* ; Nitriles ; Hydroxybutyrates ; Female ; Male ; Adult ; ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics* ; Middle Aged ; Multiple Sclerosis, Relapsing-Remitting/genetics* ; Prospective Studies ; Young Adult ; Neoplasm Proteins/genetics* ; East Asian People

BACKGROUND: Spatiotemporal disparities exist in the disease burden of non-communicable diseases (NCDs) attributable to kidney dysfunction, which has been poorly assessed. The present study aimed to evaluate the spatiotemporal trends of the global burden of NCDs attributable to kidney dysfunction and to predict future trends. METHODS: Data on NCDs attributable to kidney dysfunction, quantified using deaths and disability-adjusted life-years (DALYs), were extracted from the Global Burden of Diseases Injuries, and Risk Factors (GBD) Study in 2019. Estimated annual percentage change (EAPC) of age-standardized rate (ASR) was calculated with linear regression to assess the changing trend. Pearson's correlation analysis was used to determine the association between ASR and sociodemographic index (SDI) for 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was used to predict future trends up to 2040. RESULTS: Between 1990 and 2019, the absolute number of deaths and DALYs from NCDs attributable to kidney dysfunction increased globally. The death cases increased from 1,571,720 (95% uncertainty interval [UI]: 1,344,420-1,805,598) in 1990 to 3,161,552 (95% UI: 2,723,363-3,623,814) in 2019 for both sexes combined. Both the ASR of death and DALYs increased in Andean Latin America, the Caribbean, Central Latin America, Southeast Asia, Oceania, and Southern Sub-Saharan Africa. In contrast, the age-standardized metrics decreased in the high-income Asia Pacific region. The relationship between SDI and ASR of death and DALYs was negatively correlated. The BAPC model indicated that there would be approximately 5,806,780 death cases and 119,013,659 DALY cases in 2040 that could be attributed to kidney dysfunction. Age-standardized death of cardiovascular diseases (CVDs) and CKD attributable to kidney dysfunction were predicted to decrease and increase from 2020 to 2040, respectively. CONCLUSION NCDs attributable to kidney dysfunction remain a major public health concern worldwide. Efforts are required to attenuate the death and disability burden, particularly in low and low-to-middle SDI regions.
Humans ; Noncommunicable Diseases/epidemiology* ; Global Burden of Disease ; Disability-Adjusted Life Years ; Male ; Female ; Risk Factors ; Middle Aged ; Kidney Diseases/epidemiology* ; Bayes Theorem ; Adult ; Aged ; Global Health ; Quality-Adjusted Life Years

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 conduct the genetic analysis of a family with one patient suffering from juvenile Parkinson's disease(JP)and discuss the clinical manifestations,genetic mutation characteristics,and treatment plans prompted by PRKN gene compound heterozygous mutations,and to enhance the clinicians'awareness of this disease.Methods:The clinical data of one patient with JP caused by PRKN gene mutations was analyzed,the clinical manifestations and genetic mutation features of the patient were summarized,and the related literatures were reviewed.Results:The patient,a 16-year-old male,was admitted to the hospital due to unstable gait,trembling limbs with rigidity in both lower limbs for three years.The examination results revealed a panic gait,clear consciousness,fluent speech,normal muscle strength in limbs,increased"gear-like"muscle tone in both upper limbs,and"lead-pipe"rigidity in both lower limbs;the sensory functions and tendon reflexes were normal.The head,neck,and thoracic magnetic resonance imaging(MRI)results showed no abnormalities.18F-fluorodeoxyglucose(18F-FDG)positron emission tomography/computed tomography(PET/CT)results showed that the head size and shape were normal,the glucose metabolism in the left cerebellum and middle temporal gyrus was slightly decreased,and the glucose metabolism in bilateral thalami,right frontal lobe,parietotemporal lobe,and left medial frontal lobe was increased.The dopamine transporter(DAT)PET/CT results showed that there was no radioactive distribution in the brain cortex and the DAT distribution in the posterior part of both striata was decreased.The whole-exome sequencing results showed the patient had two PRKN gene mutations,such as codons c.8T>A and c.850G>C compound heterozygous mutations,and each mutation was from one parent;the patient's father carried the c.8T>A mutation,the patient's mother carried the c.850G>C mutation,and the patient's sister had the same genetic mutation site as the patient's father.Conclusion:PRKN gene compound heterozygous mutations may be the basis of the disease in this family.Identification of the mutation c.8T>A expands the mutation spectrum of the PRKN gene,and provides the valuable information for the research on the pathogenic genetic mutations of the JP patients.

OBJECTIVE To establish fingerprints and multi-components determination of Jieze lotion, and use chemometrics methods for quality evaluation. METHODS The HPLC-DAD fingerprints was established and 10 components were recognized by comparison with references. Meanwhile, their contents were determined. The data were evaluated by the methods of chemometrics such as similarity evaluation, cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. RESULTS The similarity of 11 batches of Jieze lotion were all >0.95. The linearity was good(r≥0. 999 1) and the average recoveries were between 89.70% and 106.0% with the RSD of 1.52%−3.41%. Instrument precision, stability and reproducibility of the method were all great. The contents of the common ten components(gallic acid, protocatechuic acid, neochlorogenic acid, caftaricacid, 5-O-feruloylquinicacid, chlorogenic acid, phellodendrine chloride, magnoflorine, 4-O-feruloylquinic acid, berberinehydrochloride) were 40.103−55.841, 2.347−6.179, 8.336−23.810, 7.084−21.956, 33.098−53.833, 24.597−49.610, 21.587−31.188, 5.915−13.162, 115.381−189.702, 31.378−112.686 μg·mL−1, respectively. The results of chemometrics showed that the 11 batches of samples could be divided into 4 categories, and the strong characteristic peaks used to distinguish each batch of samples were berberine hydrochloride, 4-O-feruloylquinic acid, chlorogenic acid, neochlorogenic acid and 5-O-feruloylquinic acid. CONCLUSION The method is accurate and reliable, and it can be used for the quality control and comprehensive evaluation of Jieze lotion.

BACKGROUND:Previous studies have demonstrated that icariin has important roles in promoting bone formation and inhibiting bone resorption,but its effects on osteoporosis-mediated bone pain have not been reported. OBJECTIVE:To investigate the possible mechanism of icariin alleviating bone pain in postmenopausal senile osteoporosis. METHODS:(1)Animal experiment:200 C57BL/6 mice were randomly divided into 4 groups:sham group(n=50),model group(n=50),icariin treatment group(n=50),and carbonic anhydrase Ⅱ inhibitor(Brinzolamide)treatment group(n=50).Ovariectomy was performed on C57BL/6 mice to establish a postmenopausal osteoporosis model in all groups except the sham group.The icariin group was given icariin on the second day after modeling,and pain behavior tests(Von Frey,Hot Plate,and Tail Flick tests)were performed every 2 weeks for 20 weeks.After sampling,bone mass was detected by microCT,osteoclast activity was detected by hematoxylin-eosin and tartrate-resistant acid phosphatase staining,and neuronal morphology and related ion channel expression were detected by tissue immunofluorescence staining.(2)Cell experiment:Osteoclast precursor cells derived from mouse bone marrow were extracted and induced to differentiate into osteoclasts using the RANKL/M-CSF system in vitro and supplemented with icariin of different concentrations(1 and 10 μmol/L).Tartrate-resistant acid phosphatase staining was used to detect osteoclast differentiation,ghost pen cyclic peptide staining was used to detect osteoclast actin ring,bone plate absorption assay was used to detect osteoclast osteophagy function,pH value of the system was detected by pH meter,and expression of osteoclast differentiation-related proteins was detected by western blot.In addition,mouse dorsal root ganglion-derived nerve cells were extracted and treated with icariin.Cell counting kit-8 was used to detect neuronal activity and CGRP staining was used to detect neuronal morphology. RESULTS AND CONCLUSION:Compared with the model group,the icariin treatment group had higher bone mineral density,fewer tartrate-resistant acid phosphatase-positive osteoclasts in bone tissue,decreased neuronal activity,and decreased neuronal transient receptor potential vanilloid subtype 1 channel and carbonic anhydrase Ⅱ expression.Behavioral results showed that the icariin treatment group was less sensitive to pain than the model group.Icariin inhibited osteoclast differentiation and bone phagocytosis in vitro.Icariin enhanced the activity of dorsal root ganglion neurons and inhibited the expression of calcitonin gene-related peptide and transient receptor potential vanilloid subtype 1 channels in dorsal root ganglia in a relatively non-toxic pH range.To conclude,icariin alleviates bone pain caused by postmenopausal osteoporosis by regulating the acidic microenvironment through its effect on osteoclasts.

Objective To investigate the correlation between red blood cell distribution width(RDW),systemic immune-inflammation index(SII)and major depressive disorder(MDD).Methods The clinical data of 176 MDD patients hospitalized in the clinical psychology department of our hospital from 2020 to 2022 and 209 non-MDD comparators who were routinely examined in Hebei General Hospital were retrospectively analyzed.Blood analysis was conducted to obtain values of RDW,SII,and red blood cell distribution width/platelet ratio(RPR).The data was used to plot the receiver operator characteristic(ROC)curve to determine the optimal threshold and the area under the curve(AUC)for RDW to discriminate between patients and controls.Result Patients in the MDD group had significantly higher RDW[median and quartiles:13.20(12.70,13.98)vs.12.80(12.40,13.35)],and SII levels[median and quartiles 510.87(350.95,878.12)vs.405.33(313.74,539.92)]compared with those in non-MDD group(P<0.05).There was no significant difference in RPR between the two groups(P>0.05).Multifactorial logistic regression analysis showed that RDW was positively correlated with MDD after adjusting for confounders(OR=3.086,95% CI:1.926-4.944).ROC curve showed that the optimal threshold for RDW to differentiate the risk of developing MDD was 12.85,with an AUC of 0.647(95% CI:0.592-0.702;P<0.001).Conclusion Present study shows that high RDW is a risk factor for the occurrence of MDD and an important parameter for the risk of developing depression.