ObjectiveTo investigate the patterns of chronic disease comorbidity among permanent elderly residents in Xuhui District of Shanghai, and to analyze the impact of different comorbidity patterns on the elderly’s ability to perform activities of daily living. MethodsBased on data from the 2015 and 2021 Surveys on Health Status and Health Service Utilization among Permanent Residents in Xuhui District of Shanghai, the study included permanent residents who fully participated in both surveys, were aged 60 years or older at the 2015 survey, self-reported having a chronic disease, and reported no significant changes in their chronic disease status between the two surveys. A prospective cohort study design was adopted, using the 2015 data as the baseline and the 2021 survey data as follow-up data. Physical examinations and questionnaire surveys were conducted by the Shanghai Xuhui District Center for Disease Control and Prevention in the subdistricts and towns within the jurisdiction from April to July in both 2015 and 2021. Latent class analysis (LCA) was used to classify comorbidity patterns across 11 types of chronic diseases. The smaller the values of the Akaike information criterion (AIC), the Bayesian information criterion (BIC), and the sample-corrected Bayesian information criterion (aBIC), the better the model fits. The Barthel index (BI) and the Lawton and Brody Instrumental Activities of Daily Living Scale (LB-IADL) were used to assess the participants’ activities of daily living (ADL) and instrumental activities of daily living (IADL). Multiple linear regression and multivariate logistic regression models were used to analyze the association between different comorbidity patterns and ADL and IADL. ResultsA total of 1 608 study participants were enrolled. Among them, 671 (41.73%) self-reported having no chronic diseases. The prevalence of 11 types of chronic diseases was as follows: hypertension in 743 participants (46.21%), heart disease in 148 participants (9.20%), cerebrovascular disease in 37 participants (2.30%), diabetes or abnormal blood glucose in 310 participants (19.28%), other endocrine system diseases (non-diabetic) in 39 participants (2.43%), malignant tumors in 37 participants (2.30%), chronic lung disease in 16 participants (1.00%), gout in 8 participants (0.50%), musculoskeletal disorders in 34 participants (2.11%), gastric or digestive system diseases in 27 participants (1.68%), and dyslipidemia in 15 participants (0.93%). LCA was used to classify comorbidity patterns of chronic diseases among older adults into 1 to 9 latent category combinations. Model 5 (i.e., 5 latent categories) had the lowest BIC (7 112.69) and aBIC (6 909.38), with a relatively low AIC (6 768.20), indicating the best model fit; thus, five latent categories represented the optimal combination in this study. The five latent categories (and their respective proportions of study participants) were the healthy control group (41.73%), the hypertension group (31.28%), the diabetes-hypertension group (19.28%), the severe illness group (5.29%), and the other metabolic diseases group (2.43%). According to multiple linear regression analyses, compared with the healthy control group, the diabetes-hypertension group had significantly lower BI-20 scores (b=-0.952, 95%CI: -1.317‒ -0.587, P<0.001) and lower IADL scores (b=-0.744, 95%CI: -0.999‒ -0.489, P<0.001); the severe illness group (b=-0.644, 95%CI: -1.072‒ -0.217, P=0.003) and the hypertension group (b=-0.344, 95%CI: -0.562‒ -0.125, P=0.002) had lower IADL scores. According to multivariate logistic regression analyses, compared with the healthy control group, older adults in the diabetes-hypertension group had a higher risk of disability (OR=2.835, 95%CI: 1.392‒5.774), impaired ADL function (OR=2.470, 95%CI: 1.637‒3.726), and impaired IADL function (OR=1.739, 95%CI: 1.264‒2.392); older adults in the severe illness group had a higher risk of impaired ADL function (OR=2.206, 95%CI: 1.171‒4.155). ConclusionAmong the elderly participating in the Survey on Health Status and Health Service Utilization of Permanent Residents in Xuhui District of Shanghai, diabetes-hypertension is one of the key chronic disease comorbidity combinations and has adverse effects on both ADL and IADL. Community health management should prioritize the elderly with diabetes-hypertension comorbidity, and strengthen early screening and comprehensive interventions to slow the decline in ADL and IADL.

Objective:To investigate the effect of low-dose aspirin combined with dydrogesterone in the treatment of patients with polycystic ovary syndrome (PCOS) complicated with infertility and its influence on hormones and helper T cytokines.Methods:300 PCOS patients with infertility in the Second Affiliated Hospital of Air Force Military Medical University were selected from January 2018 to October 2023. A prospective randomized controlled study was performed. The study subjects were divided into control group and observation group by random envelope method, with 150 cases in each group. The control group was treated with dydrogesterone on the basis of routine intervention, while the observation group was combined with low-dose aspirin on the basis of the control group. The efficacy, pregnancy rate, hormones, Th1 and Th2 cytokines and incidence of adverse reactions were compared in between groups. Measurement data with normal distribution was represented by xˉ± s. Comparison between groups was performed by two-sample t-test and paired t-test was used for comparison before and after treatment. Enumeration data was represented by n(%). Comparison between groups was performed by χ2 test. Results:After treatment, the total effective rate of treatment and pregnancy rate in observation group were higher than those in control group [86.00%(129/150) vs. 74.67% (112/150), 63.33% (95/150) vs. 47.33% (71/150)] ( χ2=6.10, P=0.014, χ2=6.73, P=0.010). Serum levels of follicle-stimulating hormone (FSH) and luteinizing hormone (LH) in both groups were lower after treatment than those before treatment, and the levels in observation group were lower than those in control group [(5.27±1.01) U/L vs. (6.40±1.13) U/L, (6.78±0.87) U/L vs. (7.16±0.91) U/L], and serum estradiol level was higher than that before treatment, and the level in observation group was higher compared to control group [(93.35±8.17) ng/L vs. (82.45±9.14) ng/L] ( t=9.13, 3.70, 10.89, all P<0.001). After treatment, serum γ-interferon, interleukin (IL-2), IL-4 and IL-6 levels were all lower in both groups than those before treatment, and the above levels were lower in observation group than those in control group [(56.96±4.64) ng/L vs. (61.36±4.41) ng/L, (38.74±7.43) ng/L vs.(45.63±8.64) ng/L, (41.03±7.06) ng/L vs. (43.36±8.12 ng/L), (23.14±4.33) ng/L vs. (27.14±5.14) ng/L] ( t=8.42, 7.40, 2.65, 7.29, P<0.001, <0.0 010.008, <0.001). There was no statistical significance in the total incidence rate of adverse reactions between observation group and control group [12.67%(22/150) vs. 9.33% (14/150), χ2=0.85, P=0.356]. Conclusions:Low-dose aspirin combined with dydrogesterone has a significant clinical effect in the treatment of PCOS with infertility, and it can improve 3-month pregnancy rate, and effectively regulate hormones levels and Th1 and Th2 cytokines, and it will not increase adverse reactions, with high safety.

3D printing technology, with a layer-by-layer construction method, enables the fabrication of intricately shaped and customizable bolus. In contrast to traditional preparation methods, 3D printing technology addresses challenges such as poor bolus fit and cumbersome production processes, offering a novel approach to efficient and personalized bolus fabrication. This article discusses the research progress of 3D printing technology in radiotherapy bolus from aspects such as the preparation process, clinical application, and research advancements, combined with the actual printing experience of Department of Radiation Oncology in Chongqing University Cancer Hospital.
Printing, Three-Dimensional ; Humans ; Radiotherapy/methods*

Objective·To observe the impact of hip synovitis on the long-term outcomes of free vascularized fibular grafting(FVFG)for osteonecrosis of femoral head(ONFH).Methods·Between October 2001 and December 2013,370 patients diagnosed with ONFH(556 hips)underwent FVFG.Preoperative synovitis was assessed using magnetic resonance imaging(MRI)and quantified with the Hip Inflammation MRI Scoring System(HIMRISS).Patients were divided into no synovitis group,moderate synovitis group,and severe synovitis group.Harris hip scores and the incidence of total hip arthroplasty were collected with an average follow-up duration of 90.5 months(range:5-215 months).Hip survival failure(defined as a Harris hip score lower than 80 at the final follow-up or the occurrence of total hip arthroplasty)was calculated.Multivariable Cox regression analysis was adopted to compare the influence of different degrees of synovial inflammation on long-term prognosis.Results·The proportion of hip survival failure was 28.0％in patients without synovitis and 28.5％in those with moderate synovitis,whereas it was significantly higher(60.4％)in patients with severe synovitis.The results of multivariable Cox regression analysis showed that severe synovitis was an independent risk factor for poor prognosis(HR 2.06,95％CI 1.21-3.53)after adjusting for age,gender,education level,marital status,ONFH type,affected side of ONFH,smoking history,baseline Harris hip score and other hip MRI-based covariates(collapse,bone marrow edema,and degeneration).Conclusion·Severe synovitis in patients with ONFH significantly increases the failure rate of hip preservation after FVFG,and the severity of synovitis should be considered in surgical decision-making.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.

Objective:To investigate the effect of low-dose aspirin combined with dydrogesterone in the treatment of patients with polycystic ovary syndrome (PCOS) complicated with infertility and its influence on hormones and helper T cytokines.Methods:300 PCOS patients with infertility in the Second Affiliated Hospital of Air Force Military Medical University were selected from January 2018 to October 2023. A prospective randomized controlled study was performed. The study subjects were divided into control group and observation group by random envelope method, with 150 cases in each group. The control group was treated with dydrogesterone on the basis of routine intervention, while the observation group was combined with low-dose aspirin on the basis of the control group. The efficacy, pregnancy rate, hormones, Th1 and Th2 cytokines and incidence of adverse reactions were compared in between groups. Measurement data with normal distribution was represented by xˉ± s. Comparison between groups was performed by two-sample t-test and paired t-test was used for comparison before and after treatment. Enumeration data was represented by n(%). Comparison between groups was performed by χ2 test. Results:After treatment, the total effective rate of treatment and pregnancy rate in observation group were higher than those in control group [86.00%(129/150) vs. 74.67% (112/150), 63.33% (95/150) vs. 47.33% (71/150)] ( χ2=6.10, P=0.014, χ2=6.73, P=0.010). Serum levels of follicle-stimulating hormone (FSH) and luteinizing hormone (LH) in both groups were lower after treatment than those before treatment, and the levels in observation group were lower than those in control group [(5.27±1.01) U/L vs. (6.40±1.13) U/L, (6.78±0.87) U/L vs. (7.16±0.91) U/L], and serum estradiol level was higher than that before treatment, and the level in observation group was higher compared to control group [(93.35±8.17) ng/L vs. (82.45±9.14) ng/L] ( t=9.13, 3.70, 10.89, all P<0.001). After treatment, serum γ-interferon, interleukin (IL-2), IL-4 and IL-6 levels were all lower in both groups than those before treatment, and the above levels were lower in observation group than those in control group [(56.96±4.64) ng/L vs. (61.36±4.41) ng/L, (38.74±7.43) ng/L vs.(45.63±8.64) ng/L, (41.03±7.06) ng/L vs. (43.36±8.12 ng/L), (23.14±4.33) ng/L vs. (27.14±5.14) ng/L] ( t=8.42, 7.40, 2.65, 7.29, P<0.001, <0.0 010.008, <0.001). There was no statistical significance in the total incidence rate of adverse reactions between observation group and control group [12.67%(22/150) vs. 9.33% (14/150), χ2=0.85, P=0.356]. Conclusions:Low-dose aspirin combined with dydrogesterone has a significant clinical effect in the treatment of PCOS with infertility, and it can improve 3-month pregnancy rate, and effectively regulate hormones levels and Th1 and Th2 cytokines, and it will not increase adverse reactions, with high safety.