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 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.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

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 investigate the clinical characteristics of sepsis-induced myocardial injury and microbial distribution.Methods:It was a retrospective observational study conducted from Jan 2023 to Dec 2023 in the Department of Emergency Intensive Care Medicine, Changshu Hospital Affiliated to Soochow University. Patients meeting the sepsis 3.0 criteria were included, excluding those with underlying cardiovascular diseases or incomplete data. Patients were categorized into myocardial injury (SIMI) and non-myocardial injury (Non-SIMI) groups based on troponin levels. General patient information, laboratory results, microbial findings, and prognostic indicators were collected. Differences in clinical parameters between the two groups were compared. Factors showing statistical differences in univariate analysis were further analyzed using multivariable logistic regression to identify risk factors for SIMI. Conduct propensity score matching among Pulmonary infection patients who underwent bronchoalveolar lavage high-throughput sequencing to compare microbial distribution between groups. Bracken was used to estimate species-level abundance from Kraken2 results, and α and β diversity analyses were conducted on the metagenomic samples.Results:A total of 179 patients were included in the study, with 98 (54.4%) in the Non-SIMI group and 81 (45.5%) in the SIMI group. There were 69 deaths overall (38.5%), with 23 (23.7%) in the Non-SIMI group and 46 (56.8%) in the SIMI group (χ 2=20.347, P<0.01). The 28-day survival curve indicated survival rates in the SIMI group were significantly lower compared to the Non-SIMI group (Log Rank χ 2=21.270, P<0.01). Univariate analysis revealed that fungal infection rate ( P=0.007), C-reactive protein ( P=0.021), procalcitonin, blood urea nitrogen, creatinine, alanine transaminase, and lactate levels were higher in the SIMI group compared to the Non-SIMI group (all P<0.01), prothrombin time was prolonger ( P<0.01) and APACHEⅡ scores were higher ( P<0.01), while serum albumin, base excess, and platelet levels were lower (all P<0.01). Multivariable logistic regression analysis indicated that fungal infection ( OR=3.441, P=0.015) was a risk factor for SIMI, whereas base excess and platelets were protective factors ( OR=0.845, 0.988, both P<0.01). Comparison of bronchoalveolar lavage high-throughput sequencing results in the pulmonary infection subgroup showed the relative abundance of Haemophilus paraininfluenzae in Non-SIMI group was higher than SIMI group among the top 20 species ( P=0.013). There were no statistically significant differences in microbial αand β-diversity between the two groups. Conclusions:The incidence of SIMI is relatively highamong sepsis patients and it affects their prognosis. Risk factors for SIMI include fungal infection, decreased platelet count, and reduced base excess levels. Among patients with pulmonary infections, there is a lower risk of SIMI associated with Haemophilus influenzae infection.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

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.

Objective:To explore the effect of behavioral habits on the recovery of spinal cord function in patients with cervical spondylotic myelopathy after expansive open-door laminoplasty(ELAP).Methods:Retrospective analysis of clinical data of 183 patients with cervical spondylotic myelopathy who underwent ELAP at the Spinal Surgery Department of Jining Medical University Affiliated Hospital, from February 2019 to October 2022, with complete follow-up information. General clinical data of patients were collected. The patients were followed up at 3 months, 6 months and 12 months after surgery with the modified standard MacNab.The JOA score was used to evaluate the recovery of motor and sensory functions in patients before and 12 months after surgery. The recovery rate of spinal cord function was calculated based on the JOA score, and patients were divided into two groups: the group with good therapeutic effect ( n=143, recovery rate ≥ 50%) and the group with poor therapeutic effect ( n=40, recovery rate<50%). Data statistics were conducted using SPSS 20.0 software for chi-square test, rank sum test, t-test, and Logistic regression analysis. Results:There were significant differences in age ( t=-3.252, P<0.01), smoking ( χ2=21.503, P<0.01), body mass index(BMI) ( t=-5.885, P<0.01), hypertension ( χ2=20.263, P<0.01), coronary heart disease ( χ2=13.272, P<0.01), hospitalization time ( t=-2.278, P=0.02), desk and screen time ( t=-6.589, P<0.01), and frequency of rehabilitation exercise ( χ2=10.927, P<0.01) between the group with good therapeutic effect and the group with poor therapeutic effect. Further multivariate Logistic regression analysis showed that smoking ( B=2.402, OR=11.046, 95% CI=2.334-52.285, P<0.05), high BMI ( B=0.341, OR=1.406, 95% CI=1.076-1.837, P<0.05), hypertension ( B=2.238, OR=9.370, 95% CI=2.153-40.790, P<0.05), long desk and screen time ( B=0.961, OR=2.613, 95% CI=1.540-4.435, P<0.05) and low frequency of rehabilitation exercise ( B=-1.039, OR=0.354, 95% CI=0.201-0.623, P<0.05) were risk factors for spinal cord function recovery in patients with cervical spondylotic myelopathy after ELAP( P<0.05). Conclusion:Smoking, high BMI, hypertension, long desk and screen time, and low frequency of rehabilitation exercise are not adverse to the recovery of neurological function in patients with cervical spondylotic myelopathy after ELAP.

Objective To evaluate predictive factors affecting the short-term efficacy of PD-1 inhibitors in non-small cell lung cancer (NSCLC) and to construct a prediction model. Methods From October 2019 to November 2021, 221 patients with advanced NSCLC who met the inclusion criteria and were treated with PD-1 inhibitors were prospectively enrolled. Patients who were enrolled before May 1st, 2021 were included inthe modeling group (n=149), whereas those who enrolled thereafter were included in the validation group (n=72). The general clinical data of patients, information of the four TCM diagnoses were collected, and TCM syndrome elements were identified. R software version 4.0.4 was used in constructing a nomogram clinical prediction model of objective response rate. The predictive ability and discrimination of the model were evaluated and externally validated by using a validation group. Results After two to four cycles of PD-1 inhibitor therapy in 221 patients, the overall objective response rate was 44.80%. Multivariate logistic regression analysis of the modeling group showed that the TPS score (OR=0.261, P=0.001), number of treatment lines (OR=3.749, P=0.002), treatment mode (OR=2.796, P=0.019), qi deficiency disease syndrome elements (OR=2.296, P=0.043), and syndrome elements of yin deficiency disease (OR=3.228, P=0.005) were the independent predictors of the short-term efficacy of PD-1 inhibitors. Based on the above five independent predictors, a nomogram prediction model for the short-term efficacy of PD-1 inhibitors was constructed. The AUC values of the modeling and validation groups were 0.8317 and 0.7535, respectively. The calibration curves of the two groups showed good agreement between the predicted and true values. The mean absolute errors were 0.053 and 0.039, indicating that the model has good predictive performance. Conclusion The nomogram model constructed on the basis of the syndrome elements of Qi-deficiency disease and Yin-deficiency syndrome of TCM, as well as TPS score, number of treatment lines and treatment mode, is a stable and effective tool for predicting the short-term efficacy of PD-1 inhibitors in advanced non-small cell lung cancer.

Objective To construct a nomogram prediction model for the treatment effect of anlotinib with the participation of traditional Chinese medicine syndrome elements on the patients with extensive-stage small cell lung cancer (ES-SCLC) who previously received multiple lines of chemotherapy. Methods The clinical data of 127 patients with ES-SCLC who received at least two cycles of anlotinib treatment were retrospectively studied. Kaplan-Meier method was used to analyze the relationship between each factor and the overall survival time. Cox regression analysis was applied to screen the independent influencing factors of the prognosis of patients with ES-SCLC. R language was employed to build a nomogram prediction model, C-index was used to evaluate the model, and calibration curve was adopted to verify the accuracy of the model. Results Age, PS score, brain metastases, qi deficiency syndrome, yin deficiency syndrome, and blood stasis syndrome were related risk factors for ES-SCLC treated with anlotinib. PS score, brain metastasis, and blood stasis syndrome were independent prognostic factors. On the basis of these three independent influencing factors, a nomogram model was established to predict the prognosis of patients with ES-SCLC treated with anlotinib. The predicted risk was close to the actual risk, showing a high degree of coincidence. Conclusion The nomogram model established with PS score, blood stasis syndrome elements, and brain metastasis as independent factors can predict the prognosis of patients with ES-SCLC receiving second- and third-line treatment of anlotinib.