Objective:To evaluate the treatment strategies and outcomes for contracted nasal deformity.Methods:A retrospective review was conducted of the patients with contracted noses who underwent surgery at the Department of Plastic and Aesthetic Surgery, the Second Xiangya Hospital of Central South University, between January 2021 and January 2024. Based on the pathologic-anatomic features and severity of the deformity, patients were categorized as having mild, moderate or severe contraction. Mild cases received extensive subcutaneous dissection and framework reconstruction with various grafts. Moderate cases underwent preoperative nasal-skin distraction and intra-operative reconstruction with lower lateral or septal cartilage. Severe cases, in addition to reconstruction of the lower lateral cartilage and nasal septum, underwent individualized repair, including mucosal or cutaneous defect resurfacing. Postoperative follow-up assessed nasal appearance, complications and recurrence of contraction. Nasal aesthetics were quantified with visual analogue scale (VAS, 0-10 points; higher scores = less deformity), and patient satisfaction with the rhinoplasty outcome evaluation (ROE) questionnaire (0 = very dissatisfied, 100 = very satisfied) before surgery and at final follow-up. Paired t-test was used for VAS and ROE comparisons; categorical variables were analyzed with the χ2 test. A P-value < 0.05 denoted statistical significance. Results:A total of 96 patients were included, comprising 7 males and 89 females, aged (27.4 ± 8.0) years (19-58 years). There were 64 cases of mild, 19 cases of moderate, and 13 cases of severe contracted nose deformities. Postoperative follow-up(14.0 ± 4.6) months (6-19 months). No cases of abnormal nasal appearance, infection, necrosis, scar hyperplasia, or recurrence of contracted nose were observed during follow-up. Significant improvements in nasal aesthetic outcomes were observed. The VAS scores for mild, moderate, and severe contracted noses increased significantly from preoperative values of 4.7 ± 1.0, 3.0 ± 1.2, and 2.2± 1.1 to postoperative values of 8.6 ± 0.7, 8.9 ± 0.7, and 8.2 ± 0.9, respectively (all P < 0.01). Similarly, the ROE scores improved significantly from 59.1 ± 10.0, 34.2 ± 12.1, and 28.5± 6.3 preoperatively to 90.2 ± 9.5, 91.5 ± 7.5, and 93.3 ± 5.8 postoperatively (all P < 0.01). Conclusion:Selecting appropriate surgical methods based on the pathological and anatomical characteristics and severity of contracted nose deformities can achieve favorable outcomes. Postoperative nasal aesthetic appearance is significantly improved, and patient satisfaction is high.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex 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 investigate the impact of virtual reality combined with body weight-supported treadmill training on phantom limb pain,lower limb dynamics,gait stability,balance func-tion,and quality of life in amputees.Methods A prospective study enrolled 100 unilateral lower limb amputees as participants,who were randomly divided into experimental group(n=50)and con-trol group(n=50).The experimental group received virtual reality combined with body weight-sup-ported treadmill training,while the control group received conventional rehabilitation training.Out-comes,including phantom limb pain intensity[Visual Analogue Scale(VAS),Douleur Neuropathique 4 Questions(DN4)scores],lower limb dynamics[vertical ground reaction force(Fz),anteroposterior ground reaction force(Fy),joint moments],gait parameters,static balance(Berg Balance Scale score),dynamic balance(stability time,proportion of gait support time),quality of life[12-Item Short-form Health Survey(SF-12)score],and activities of daily living[Modified Barthel Index(MBI)score]were assessed before intervention and at 4,8,and 12 weeks post-intervention.Results At 4,8,and 12 weeks post-intervention,the experimental group exhibited significantly lower VAS and DN4 scores compared to baseline and the control group(P＜0.05).Gait speed,stride length,ca-dence,stance time,Berg Balance Scale score,stability time,and proportion of gait support time improved in the experimental group compared to baseline and the control group(P＜0.05).SF-12 score,MBI score,peak Fz,peak Fy,knee flexion moment,ankle abduction moment,and stance phase proportion also increased significantly in the experimental group compared to baseline and the control group(P＜0.05).Conclusion Virtual reality combined with body weight-supported tread-mill training effectively alleviates phantom limb pain,improves lower limb dynamics,gait stability,and balance function,and enhances quality of life in amputees.

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.

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.

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.