Objective To investigate the correlation between levels of low-density lipoprotein cholesterol(LDL-C)and atrial fibrillation in a hypertensive population.Methods Hypertension screening was performed in the Wuyuan County of Jiangxi Province from June to August 2022.Data were collected using face-to-face questionnaire surveys,physical measurements,and biochemical tests.Logistic regres-sion analysis was used to analyze the effect of LDL-C on atrial fibrillation.The restricted cubic spline method was used to fit the correlation curve.Results A total of 14 314 patients with hypertension were included in the analysis,with an average age of 65.7±9.2 years.There were 570 patients detected with atrial fibrillation(the rate of atrial fibrillation was 4.0％).The rates of atrial fibrillation for LDL-C＜1.80 mmol/L,1.80-＜2.60 mmol/L,2.60-＜3.40 mmol/L and≥3.40 mmol/L were 10.2％(67/654),5.7％(216/3 807),3.3％(189/5 805),and 2.4％(98/4 048),respectively.Logistic regression analysis showed that,compared with LDL-C＜1.80 mmol/L group,LDL-C 1.80-＜2.60 mmol/L group,2.60-＜3.40 mmol/L group,and ≥ 3.40 mmol/L group had a lower risk of atrial fibrillation(OR=0.53,95％CI:0.39-0.72,P＜0.001;OR=0.32,95％CI:0.23-0.45,P＜0.001;OR=0.22,95％CI:0.16-0.32,P＜0.001).Curve-fitting results showed that LDL-C levels were negatively associated with the risk of atrial fibrillation.Subgroup analysis showed that LDL-C level was negatively associated with the risk of atrial fibrillation in patients without a history of stroke(OR=0.51,95％CI:0.44-0.58,P＜0.001),while the association was not statistically significant in patients with a history of stroke(OR=0.80,95％CI:0.54-1.19,P=0.273).Conclusion In hyperten-sive patients without a history of stroke,LDL-C levels negatively correlated with the risk of atrial fibrillation.

Objective To explore the necessity of placing an inferior vena cava filter(IVCF)during interventional therapy for acute lower extremity deep venous thrombosis(DVT)complicated with severe May-Thurner syndrome(MTS).Methods Patients with acute left lower extremity DVT complicated with severe MTS were retrospectively selected and divided into observation group(n=36)and control group(n=36)according to whether IVCF was implanted or not.Pulmonary embolism(PE)was evaluated using compu-ted tomography pulmonary angiography(CTPA).The improvement of the affected limb signs and the occurrence of PE symptoms during treatment were observed.The presence of trapped thrombus was checked during filter removal.The PE incidence,hospitaliza-tion costs,operation time,and hospital stay were compared between the two groups.Results Both groups had a higher thrombus clearance rate after interventional surgery,and the proportion of new small branch PE was lower without significant differences between the two groups(8.3%vs 5.6%,P=1.000).The signs of the affected limbs improved significantly,and no PE-related symptoms occurred during treatment.No obvious trapped thrombus was found when the filter was removed in the control group.Compared with the control group,the observation group had significantly reduced hospitalization costs and operation time(P<0.05).Conclusion For patients with acute lower extremity DVT complicated with severe MTS,omitting IVCF placement during interventional surgery does not increase the risk of PE and can reduce operation time and hospitalization costs.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

Objective:To analyze the design and application of a three-tier architecture medical consumables management information system based on IoT technology.Methods:Utilizing IoT technologies including network communication,radio frequency identification(RFID),and intelligent processing,a three-tier architecture system comprising perception,application,and interaction layers was designed to achieve comprehensive management of medical consumables throughout their lifecycle.A total of 520 clinical medical consumables in use at West China Hospital of Sichuan University from January 2022 to January 2023 were selected.Using a random number table,they were divided into an observation group and a control group,each containing 260 items.The control group employed conventional management practices,while the observation group utilized the IoT-based three-tier architecture medical consumables management information system.The study compared the quality of medical consumables management,time spent on consumables verification,inventory backlog,test results in different scenarios,and the time required to manage medical consumables per single treatment session between the two management models.Results:The observation group scored(95.69±10.66)points for the timeliness of medical consumables delivery,(94.14±11.33)points for management standardization,and(94.36±11.54)points for the timeliness of consumables recovery.was(94.36±11.54).All scores were significantly higher than those in the control group,with statistically significant differences(t=11.067,9.048,9.492,P<0.05).The observation group exhibited shorter monthly and quarterly physical inventory reconciliation times,as well as lower monthly and quarterly inventory backlogs compared to the control group,with all differences statistically significant(t=19.303,21.303,13.114,28.734,P<0.05).The observation group demonstrated significantly shorter average response times and average processing times for daily replenishment of medical supplies compared to the control group,while exhibiting significantly higher average inventory accuracy rates.All differences were statistically significant(t=11.614,22.122,12.103,P<0.05).During high-demand periods,the observation group exhibited significantly shorter average response times and average processing times compared to the control group,while inventory accuracy was significantly higher.All differences were statistically significant(t=8.358,11.051,22.157,P<0.05).The observation group also demonstrated shorter preparation times for medical supplies,response times for ad hoc requests,and return times to inventory compared to the control group,with statistically significant differences(t=15.881,19.334,17.102,P<0.05).Conclusion:Implementing a three-tier architecture medical consumables management information system based on IoT technology significantly enhances the quality of medical consumables management.It reduces consumables verification time and inventory backlog,enables rapid response and processing during routine replenishment and high-demand periods,and markedly decreases the time required for managing medical consumables per patient visit.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

[Purpose]To analyze the incidence and mortality of colorectal cancer in Zhejiang can-cer registration areas in 2021 and its temporal trends from 2000 to 2021.[Methods]Data from 22 cancer registries in Zhejiang Province in 2021 that met the quality standards were included.The crude incidence/mortality rate,age-standardized incidence/mortality rates by Chinese standard population(ASIRC/ASMRC)and by world standard population(ASIRW/ASMRW),and cumulative incidence(mortality)rate for 0～74 years old were calculated.Trends from 2000 to 2021 were ana-lyzed using the Joinpoint regression model by calculating the annual percentage change(APC)and average annual percentage change(AAPC).[Results]In 2021,the number of new colorectal cancer cases in Zhejiang cancer registration areas was 12 265,with 4 323 deaths.ASIRC and ASMRC were significantly higher in men(32.74/105 and 10.11/105)than those in women(20.78/105 and 5.99/105).Urban areas showed higher ASIRC and ASMRC(28.27/105 and 8.06/105)than rural areas(24.12/105 and 7.85/105).The age-specific incidence and mortality rates of colorectal cancer in Zhejiang Province showed an increasing trend with age,with a peak of 219.63/105 in the age group of 80～84 years old.The age-specific mortality rate peaked in the age group of 85 years old and above,with a peak of 199.65/105.From 2000 to 2021,ASIRC in Zhejiang Province showed an upward trend(AAPC=2.23％,P＜0.001),ASMRC showed a marginal increase(AAPC=0.78％,P=0.067).[Conclusion]The incidence of colorectal cancer in Zhejiang Province had been on a continuous rise in the past 22 years,and health education and early screening should be empha-sized.

Objective:To analyze the risk factors for herpes zoster complicated by kidney dysfunction and construct a prediction model.Methods:A retrospective analysis was conducted on the clinical data of 150 patients with herpes zoster who were admitted to Hangzhou Third People's Hospital from January 2022 to December 2023. The patients were divided into two groups based on the presence of kidney dysfunction: kidney dysfunction group ( n = 30, with kidney dysfunction) and control group ( n = 120, without kidney dysfunction). The risk factors for herpes zoster complicated by kidney dysfunction were analyzed. The logistic prediction model was constructed. The effectiveness of this prediction model in predicting herpes zoster complicated by kidney dysfunction was assessed using the receiver operating characteristic curve. Results:The differences in gender, body mass index, comorbidities (hypertension and hyperlipidemia), and sites of onset between the two patient groups were not statistically significant (all P > 0.05). The average age of the kidney dysfunction group was (67.74 ± 6.71) years, which was significantly older than that in the control group [(62.32 ± 5.58) years, t = 4.56, P < 0.001]. In the kidney dysfunction group, the proportions of patients with comorbid diabetes, severe pain, large lesion area, high-dose antiviral medication use, and hemoglobin levels < 120 g/L were 46.67% (14/30), 63.33% (19/30), 56.67% (17/30), 46.67% (14/30), and 40.00% (12/30), respectively. These values were all significantly greater than those in the control group [14.17% (17/120), 34.17% (41/120), 31.67% (36/120), 19.17% (23/120), and 10.00% (12/120), χ2 = 15.46, 2.60, 2.10, 9.76, 16.07, P < 0.001, 0.002, 0.035, 0.002, < 0.001). Logistic regression analysis revealed that older age ( OR = 3.023), comorbid diabetes ( OR = 4.315), severe pain ( OR = 3.623), large lesion area ( OR = 3.481), high-dose antiviral medication use ( OR = 4.030), and hemoglobin levels < 120 g/L ( OR = 0.151) were all significant risk factors for herpes zoster complicated by kidney dysfunction (all P < 0.05). Based on these risk factors, the following logistic prediction model was developed: Logit( P) = -8.753 + 1.106 × age + 1.462 × diabetes + 1.287 × pain severity + 1.247 × lesion area + 1.394 × high-dose antiviral medication use + (-1.889) × hemoglobin. The receiver operating characteristic curve analysis indicated that the area under the curve for predicting herpes zoster complicated by kidney dysfunction was 0.904 (95% CI: 0.859-0.937), with a sensitivity of 84.62% and a specificity of 89.04%. Conclusions:The risk factors for herpes zoster complicated by kidney dysfunction include older age, comorbid diabetes, severe pain, large lesion area, high-dose antiviral medication use, and hemoglobin levels < 120 g/L. Based on these factors, the construction of a logistic prediction model can provide a reliable basis for clinical prediction of the occurrence of kidney dysfunction.

Objective:To investigate the efficacy of high-flux hemodialysis in the treatment of stage 5 chronic kidney disease and its effects on nutritional status.Methods:A retrospective study was conducted on 64 patients with stage 5 chronic kidney disease who received treatment at Hangzhou Third People's Hospital from February 2023 to February 2024. These patients were divided into an observation group and a control group according to different blood purification methods, with 32 patients per group. The control group underwent conventional hemodialysis treatment, while the observation group underwent high-flux hemodialysis. Renal function, calcium and phosphorus metabolism, inflammatory factors, and nutritional indicators were compared between the two groups before and after treatment.Results:After treatment, the observation group showed significantly lower levels of serum creatinine [(238.18 ± 64.37) μmol/L] and blood urea nitrogen [(8.35 ± 1.43) μmol/L] compared with the control group [(343.12 ± 75.28) μmol/L, (10.97 ± 1.64) μmol/L, t = 5.99, 6.81, both P < 0.05]. The observation group had lower levels of calcium [(1.65 ± 0.19) mmol/L] and phosphorus [(1.54 ± 0.28) mmol/L] compared with the control group [(2.16 ± 0.23) mmol/L, (2.03 ± 0.36) mmol/L, t = 9.67, 6.08, both P < 0.05]. After treatment, the levels of C-reactive protein in the observation group [(9.72 ± 2.65) mg/L] were lower than those in the control group [(14.98 ± 3.76) mg/L, t = 6.47, P < 0.001]. However, there were no significant differences in hemoglobin, albumin, and prealbumin levels between the two groups ( t = -0.47, -0.16, -0.48, all P > 0.05). Conclusions:High-flux hemodialysis is effective in patients with stage 5 chronic kidney disease. It significantly alleviates the inflammatory state, but it has no notable effects on nutritional status. This approach merits consideration in clinical practice.

Objective:To evaluate the impact of postoperative radiotherapy (RT) and associated risk factors on the prognosis of patients undergoing postmastectomy breast reconstruction (PMBR) for breast cancer.Methods:A retrospective analysis was conducted on 1593 breast cancer patients who underwent PMBR at Tianjin Medical University Cancer Institute & Hospital between January 2010 and October 2023. Patients were divided into an RT group ( n = 351) and a non-RT group ( n =1242) based on whether postoperative radiotherapy was administered. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was the incidence of revision surgery. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used for pairing. Continuous variables were compared between the two groups using the independent samples t-tests, while categorical variables were compared using chi-square tests, and survival analysis was performed using the Kaplan-Meier method. Cox proportional hazards model was used to analyze survival influencing factors, and include propensity factors with P<0.2 in univariate analysis into multivariate analysis. Results:In the RT group, there were 3 deaths (0.9%) and 21 cases of disease progression (6.0%); in the non-RT group, 7 patients died (0.56%) and 40 experienced disease progression (3.22%). The median OS was 20.1 months (range: 0.1-164.9), and the median PFS was 19.5 months (range: 0.1-160.9). Pregnancy-associated breast cancer and higher N stage were identified as significant risk factors for OS, while neoadjuvant therapy, absence of adjuvant chemotherapy or endocrine therapy, and higher T stage were significant risk factors affecting patients' PFS. Radiotherapy significantly reduced the survival risk for PMBR patients with pregnancy-associated breast cancer or those receiving neoadjuvant therapy ( P=0.019, 0.027). Compared with other reconstruction methods, implant-based reconstruction was associated with a lower incidence of postmastectomy revision surgery(10.5% vs. 17.0%, P<0.001). Even after radiotherapy, the revision surgery incidence for implant-based reconstruction remained lower than that of other methods (12.2% vs. 14.2%, P=0.591). Compared with other reconstruction types, expander-based reconstruction was associated with an increased incidence of revision surgery (31.9% vs. 10.9%, P<0.001). Conclusions:Postmastectomy radiotherapy can reduce survival risk in PMBR patients with pregnancy-associated breast cancer or who received neoadjuvant therapy, showing positive effects on OS and PFS in high-risk patients. Pregnancy, higher T/N stage, and specific treatment strategies are critical factors influencing the prognosis of PMBR patients. Implant-based reconstruction is associated with a lower incidence of revision surgery, which remains low even after RT, whereas expander-based reconstruction may increase the long-term risk of revision surgery.