ObjectiveTo understand the seropositivity of neutralizing antibodies (NAb) and low-level NAb against SARS-CoV-2 infection in the community residents, and to explore the impact of COVID-19 vaccination and SARS-CoV-2 infection on the levels of NAb in human serum. MethodsOn the ground of surveillance cohort for acute infectious diseases in community populations in Shanghai, a proportional stratified sampling method was used to enroll the subjects at a 20% proportion for each age group (0‒14, 15‒24, 25‒59, and ≥60 years old). Blood samples collection and serum SARS-CoV-2 NAb concentration testing were conducted from March to April 2023. Low-level NAb were defined as below the 25^th percentile of NAb. ResultsA total of 2 230 participants were included, the positive rate of NAb was 97.58%, and the proportion of low-level NAb was 25.02% (558/2 230). Multivariate logistic regression analysis indicated that age, infection history and vaccination status were correlated with low-level NAb (all P<0.05). Individuals aged 60 years and above had the highest risk of low-level NAb. There was a statistically significant interaction between booster vaccination and one single infection (aOR=0.38, 95%CI: 0.19‒0.77). Compared to individuals without vaccination, among individuals infected with SARS-CoV-2 once, both primary immunization (aOR=0.23, 95%CI: 0.16‒0.35) and booster immunization (aOR=0.12, 95%CI: 0.08‒0.17) significantly reduced the risk of low-level NAb; among individuals without infections, only booster immunization (aOR=0.28, 95%CI: 0.14‒0.52) showed a negative correlation with the risk of low-level NAb. ConclusionsThe population aged 60 and above had the highest risk of low-level NAb. Regardless of infection history, a booster immunization could reduce the risk of low-level NAb. It is recommended that eligible individuals , especially the elderly, should get vaccinated in a timely manner to exert the protective role of NAb.

Objective To investigate the predictive value of preoperative combined detection of neutrophil-to-lymphocyte ratio (NLR) and prothrombin time-international normalized ratio to albumin ratio (PTAR) for early abdominal infection after liver transplantation. Methods Clinical data of 287 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital, Affiliated to Capital Medical University, from January 2020 to April 2024 were retrospectively analyzed. The patients were divided into infection group (n=60) and non-infection group (n=227) based on whether abdominal infection occurred within 30 days after surgery. The distribution characteristics of pathogens and infection time in infected patients were analyzed. Spearman correlation analysis was used to assess the correlation between NLR, PTAR, Child-Pugh score and preoperative model for end-stage liver disease (MELD) score. Univariate and multivariate logistic regression analyses were performed to identify risk factors for abdominal infection. Receiver operating characteristic (ROC) curves were plotted for NLR, PTAR, and the combined prediction model to evaluate their predictive efficacy for abdominal infection after liver transplantation. Based on the cutoff value of the combined model, recipients were divided into low-risk and high-risk groups, and Kaplan-Meier analysis was used to compare the cumulative incidence of abdominal infection within 30 days after surgery between the two groups. Results Among the 287 recipients who underwent liver transplantation, 60 developed bacterial or fungal abdominal infections postoperatively. A total of 86 strains were isolated from infected patients, with Gram-negative bacteria accounting for 58%, Gram-positive bacteria for 36%, and fungi for 5%. Preoperative NLR and PTAR were positively correlated with Child-Pugh and MELD scores (all 1 > r > 0, P < 0.05). Logistic regression analysis showed that preoperative NLR, preoperative PTAR, postoperative ICU stay duration and postoperative biliary leakage were risk factors for abdominal infection within 30 days after surgery. The area under the curve (AUC) for NLR, PTAR, Child-Pugh score and MELD score were 0.771, 0.735, 0.650 and 0.741, respectively. The AUC for the combined NLR and PTAR prediction model was 0.824 (95% confidence interval: 0.763-0.885, P < 0.001), with a cutoff value of 0.168. Kaplan-Meier analysis showed that the cumulative incidence of abdominal infection within 30 days after surgery was lower in the low-risk group than in the high-risk group, with statistically significant difference (P < 0.001). Conclusions Preoperative NLR and PTAR are independent risk factors for abdominal infection within 30 days after liver transplantation. The combined prediction model of NLR and PTAR may effectively identify high-risk recipients for early abdominal infection after liver transplantation, providing basis for early intervention.

Objective:To carry out a scoping review on the current status and influencing factors of self-advocacy among cancer patients, so as to provide a basis for future intervention research.Methods:Research on cancer patients' self-advocacy was electronically retrieved on PubMed, Embase, CINAHL, Web of Science, Scopus, China National Knowledge Infrastructure, WanFang data, VIP, and China Biology Medicine disc. The search period was from database establishment to October 31, 2023. The included literature was summarized and analyzed.Results:A total of 17 articles were included. The influencing factors of cancer patients' self-advocacy mainly involved four aspects of general demographic factors, disease factors, social factors, and psychological factors.Conclusions:The influencing factors of cancer patients' self-advocacy are multifaceted. We should continue to explore the controversial influencing factors, conduct research on the self-advocacy of male cancer patients, and develop reasonable and effective intervention measures to enhance the self-advocacy level of cancer patients.

Objective To explore the differences in scapular motion and shoulder function between patients suffering from rotator cuff tears(RCT)with and without type Ⅲ scapular dyskinesis(SD).Meth-ods Between September 2021 and March 2023,sixteen patients suffering from rotator cuff tears with SD(SD group)and 17 counterparts without SD(non-SD group)were recruited from the Sports Hospital of the General Administration of Sport of China.Their scapular motion was assessed by measuring three parameters in the X-rays,including scapular spine line(LSS),scapular upward rotation angle(SU-RA),and coracoid upward shift distance(CUSD).Moreover,their shoulder range of motion in flexion,abduction and external rotation were recorded,and further evaluated using the Pain Visual Analog Scale(VAS)and American Shoulder and Elbow Surgeons Score(ASES).Results No significant differenc-es were found between the two groups in the average score of SURA,CUSD and LSS at 0°～30° shoul-der abduction,or in that of CUSD and LSS at 60°～90°shoulder abduction.However,the average SU-RA score of the SD group at 60°～90°shoulder abduction was significantly greater than the other group(P<0.05).The shoulder ranges of motion during active flexion,abduction and external rotation were significantly smaller in the SD group than in the non-SD group(P<0.05).Moreover,the average VAS score in the SD group was significantly higher than the non-SD group(P<0.05),while the average ASES score was significantly lower than the latter group(P<0.05).Conclusions RCT patients type III SD exhibits greater scapular upward rotation during shoulder abduction compared to those without SD.Moreover,the former patients suffer from more severe pain and have worse shoulder range of motion and functional performance than the latter.

Objective To explore the current status and potential subtypes of frailty among family caregivers of patients with dementia,and to analyze the related influencing factors of different subtypes.Methods Dementia patients and their family caregivers in 8 community health service centers in Shanghai from June to October 2023 were recruited by convenience sampling.General information questionnaire,Tilburg Frailty Indicator(TFI),Pittsburgh Sleep Quality Index(PSQI),Self-Rating Depression Scale(SDS),Zarit Caregiver Burden Interview(ZBI),and Connor-Davidson Resilience Scale(CD-RISC)were conducted for investigation.Latent profile analysis was used to explore the potential subtypes of frailty among family caregivers of patients with dementia.The influencing factors associated with the potential subtypes were identified by univariate analysis and multivariate Logistic regression analysis.Results A total of 470 family caregivers of patients with dementia were surveyed,and 46.17％of them suffered from frailty.Frailty among family caregivers of patients with dementia can be classified into 3 potential subtypes:comprehensive-low frailty subtype(70.64％),psychosocial-medium frailty subtype(19.57％),and physical-high frailty subtype(9.79％).Family caregivers of patients with dementia who had poor sleep quality and suffered from 2 or more chronic diseases were more likely to be classified into the physical-high frailty subtype(P＜0.05).Family caregivers of patients with dementia who had higher levels of depression,lower mastery levels of caregiving knowledge and skills and spousal caregivers were more likely to be classified into the psychosocial-medium frailty subtype(P＜0.05).Family caregivers of patients with dementia who had higher levels of resilience were more likely to be classified into the comprehensive-low frailty subtype(P＜0.05).Conclusion The incidence of frailty among family caregivers of patients with dementia is at a high level with significant heterogeneity.It is suggested that medical staff should pay attention to the frailty of family caregivers,with a focus on family caregivers in the psychosocial-medium frailty subtype or physical-high frailty subtype,and take timely and targeted interventions according to the characteristics and influencing factors of different subtypes,so as to prevent or delay the occurrence and development of frailty.

Objective:To evaluate alteration of autograft function by pathological types after total parathyroidectomy (tPTX) plus autotransplantation (AT) in patients of hyperthyroidism.Methods:A total of 51 patients with end-stage chronic renal failure who underwent total parathyroidectomy with autologous forearm transplantation from Mar 2017 to Feb 2021 were divided into chief cell type (CC) and oxyphil cell type (OC) according to dominating graft cell type. iPTH, calcium, phosphorus and ALP levels were compared between the two groups from the perioperative period to 6 months and the 3D ultrasonography was performed at 6 months to cocalculate the size of the autograft.Results:Between the two groups, there were no statistically significant differences in iPTH, blood calcium, blood phosphorus, or ALP levels pre-,and 30 minutes, one month post surgery (all P>0.05). On three months, there was no significant difference in ALP levels [CC group: (99±23) U/L, OC group: (89±35) U/L, t=0.776, P=0.442]. At 6 months the PTH level [CC group: (290±77) pg/ml, OC group: (246±59) pg/ml, t=2.034, P=0.047], and blood calcium [CC group: (2.62±0.65) mmol/L, OC group: (2.21±0.20) mmol/L, t=2.531, P=0.015] blood phosphorus [CC group: (1.38±0.28) mmol/L, OC group: (1.68±0.34) mmol/L; t=-3.269, P=0.002], were all in favor of CC group. By 3D ultrasnography at 6 months the size of autograft was larger in CC group than in OC group [V cc=(2.17±0.37) cm 3,V oc=(1.85±0.29) cm 3, t=3.172, P<0.05]. Recurrences at 1 year after surgery were not significantly different between the two groups ( ncc=3, noc=1, t=0.277, P>0.05). Conclusion:The biological activity of CC-type grafts is higher than that of OC suggesting a longer functioning period as a parathyroid autograft.

Objective:To analyze the changes in the management methods of large medical equipment in China, evaluate the equity of large medical equipment allocation planning from the 13th Five-Year Plan to the 14th Five-Year Plan.Methods:The literature research was used to sort out the characteristics and changes of the management of large medical equipment in China. The database was established to quantitatively analyze the existing number of large medical equipment at the end of the 13th Five-Year Plan and the planned number of large medical equipment at the end of the 14th Five-Year Plan, and then the fairness evaluation was carried out based on the Lorenz curve and Gini coefficient.Results:Since the 1980s, the management measures of large-scale medical equipment in China have been introduced and updated iteratively to meet the needs of social development and medical services. In addition to conventional radiotherapy equipment, the number of large medical equipment per million population in China at the end of the 14th Five-Year Plan at least doubled compared with the end of the 13th Five-Year Plan, among which the heavy ion radiotherapy system and the laparoscopic surgery system increased by more than two times. Lorenz curve analysis showed that the fairness of large medical equipment based on population distribution at the end of the 14th Five-Year Plan was better than that at the end of the 13th Five-Year Plan, especially for heavy ion proton radiotherapy system, high-end radiotherapy equipment and PET/MR. The Gini coefficient of large medical equipment planning based on population distribution during the 14th Five-Year Plan was generally smaller than that of the 13th Five-Year Plan. Except for the heavy ion proton radiotherapy system and PET/MR in North China, the Gini coefficient of the planned number of all kinds of equipment in the six regions of the country during the 14th Five-Year Plan was less than 0.4 based on population distribution, which was in a relatively fair state.Conclusions:The management of large medical equipment in China keeps pace with the times and constantly adapts to the new development stage of health care. The fairness of large medical equipment allocation planning based on population distribution in six regions of China has been steadily improved, and it is suggested that the fairness based on population distribution and the clinical application of existing equipment should be taken into account in the allocation planning.

Purpose/Significance A prediction model is constructed based on real-world data to achieve prediction and early screening of type 2 diabetic microvascular complications.Method/Process Based on the real world data of Nanjing Drum Tower Hospital in the past 10 years,a particle swarm optimization based deep belief network(PSO-DBN)prediction model for microvascular complica-tions in type 2 diabetes mellitus is constructed by taking test results and medical record documents into consideration.Result/Conclusion The PSO-DBN model can predict diabetic microvascular complications,and the performance is better than that of random forest and sup-port vector machine(SVM)benchmark models,it provides references for the research of disease prediction model of real-world data.

Objective:To assess the predictive value of dosiomics in predicting the occurrence of bone marrow suppression (BMS) in patients with pelvic tumors during radiotherapy.Methods:A retrospective analysis was conducted on the clinical data and radiotherapy planning documents of 129 patients with pelvic region tumors who underwent radiotherapy at the First Affiliated Hospital of Nanjing Medical University from January 2019 to January 2023. The region of interest (ROI) was outlined for bone marrow in the pelvic region by Accu Contour software in planning CT, and the ROI was exported together with the dose distribution file. According to a stratified randomization grouping method, the patients were divided into the training set and test set in an 8 vs. 2 ratio. The dosiomic features were extracted from the ROI, and the two independent samples t-test and the least absolute shrinkage and selection operator (LASSO) algorithm was employed to identify the best predictive characteristics. Subsequently, the dosiomic scores were calculated. Clinical predictors were identified through both univariant and multivariate logistic regression analyses. Predictive models were constructed by using clinical predictors alone and combining clinical predictors and dosiomic scores. The efficacy of predictive model was assessed by plotting the receiver operating characteristic (ROC) curve and evaluating its performance through the area under the ROC curve (AUC), the calibration curve, and decision curve analysis (DCA). Results:Fourteen dosiomic features that showed a strong correlation with the occurrence of BMS were screened and utilized to calculate the dosiomic scores. Based on both univariant and multivariate logistic regression analyses, chemotherapy, planning target volume (PTV) and V 5 Gy were identified as clinical predictors. According to the combined model, the AUC values for the training set and test set were 0.911 and 0.868, surpassing those of the clinical model (AUC=0.878 and 0.824). Furthermore, the analysis of both the calibration curve and DCA suggested that the combined model had higher calibration and net clinical benefit. Conclusion:The combined model has a high diagnostic value for predicting BMS in patients with pelvic tumors during radiotherapy.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.