Objective To analyze the trends in the disease burden of schistosomiasis in China from 1992 to 2021, and to project the disease burden of schistosomiasis in China from 2022 to 2030, so as to provide insights into the elimination of schistosomiasis in China. Methods The prevalence, age-standardized prevalence, disability-adjusted life year (DALYs) rate and age-standardized DALYs rate of schistosomiasis, as well as the years lost due to disability (YLDs) rate and age-standardized YLDs rate of anemia attributable to Schistosoma infections in China, the world and different socio-demographic index (SDI) regions were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources, and the trends in the disease burden due to schistosomiasis were evaluated with estimated annual percentage change (EAPC) and its 95% confidence interval (CI). In addition, the age, period and cohort effects on the prevalence of schistosomiasis were examined in China using an age-period-cohort (APC) model, and the disease burden of schistosomiasis was predicted in China from 2022 to 2030 using a Bayesian age-period-cohort (BAPC) model. Results The age-standardized prevalence and DALYs rate of schistosomiasis, and the age-standardized YLDs rate of anemia attributable to Schistosoma infections were 761.32/10⁵, 5.55/10⁵ and 0.38/10⁵ in China in 2021. These rates were all lower than the global levels (1 914.30/10⁵, 21.90/10⁵ and 3.36/10⁵, respectively), as well as those in the medium SDI regions (1 413.61/10⁵, 12.10/10⁵ and 1.93/10⁵, respectively), low-medium SDI regions (2 461.03/10⁵, 26.81/10⁵ and 4.48/10⁵, respectively), and low SDI regions (5 832.77/10⁵, 94.48/10⁵ and 10.65/10⁵, respectively), but higher than those in the high SDI regions (59.47/10⁵, 0.49/10⁵ and 0.05/10⁵, respectively) and high-medium SDI regions (123.11/10⁵, 1.20/10⁵ and 0.12/10⁵, respectively). The prevalence and DALYs rate of schistosomiasis were higher among men (820.79/10⁵ and 5.86/10⁵, respectively) than among women (697.96/10⁵ and 5.23/10⁵, respectively) in China in 2021, while the YLDs rate of anemia attributable to Schistosoma infections was higher among women (0.66/10⁵) than among men (0.12/10⁵). The prevalence of schistosomiasis peaked at ages of 30 to 34 years among both men and women, while the DALYs rate of schistosomiasis peaked among men at ages of 15 to 19 years and among women at ages of 20 to 24 years. The age-standardized prevalence of schistosomiasis showed a moderate decline in China from 1992 to 2021 relative to different SDI regions [EAPC = -1.51%, 95% CI: (-1.65%, -1.38%)], while the age-standardized DALYs rate [EAPC = -3.61%, 95% CI: (-3.90%, -3.33%)] and age-standardized YLDs rate of anemia attributable to Schistosoma infections [EAPC = -4.16%, 95% CI: (-4.38%, -3.94%)] appeared the fastest decline in China from1992 to 2021 relative to different SDI regions. APC modeling showed age, period, and cohort effects on the trends in the prevalence of schistosomiasis in China from 1992 to 2021, and the prevalence of schistosomiasis appeared a rise followed by decline with age, and reduced with period and cohort. BAPC modeling revealed that the age-standardized prevalence and age-standardized DALYs rate of schistosomiasis, and age-standardized YLDs rate of anemia attributable to Schistosoma infections all appeared a tendency towards a decline in China from 2022 to 2030, which reduced to 722.72/10⁵ [95% CI: (538.74/10⁵, 906.68/10⁵)], 5.19/10⁵ [95% CI: (3.54/10⁵, 6.84/10⁵)] and 0.30/10⁵ [95% CI: (0.21/10⁵, 0.39/10⁵)] in 2030, respectively. Conclusions The disease burden of schistosomiasis appeared a tendency towards a decline in China from 1992 to 2021, and is projected to appear a tendency towards a decline from 2022 to 2030. There are age, period and cohort effects on the prevalence of schistosomiasis in China. Precision schistosomiasis control is required with adaptations to current prevalence and elimination needs.

AIM: To investigate the influence of relevant inflammatory markers in peripheral blood on the progression of neovascular glaucoma(NVG)secondary to diabetic retinopathy(DR)patients.METHODS: Retrospective case-control study. Patients were categorized into two groups based on the presence or absence of NVG: those with proliferative diabetic retinopathy(PDR)alone(PDR group, n=148)and those with NVG secondary to PDR(NVG secondary to PDR group, n=142). Peripheral blood inflammatory markers were evaluated, including white blood cell-related indices, neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), monocyte-to-lymphocyte ratio(MLR), and systemic immune-inflammation index(SII). The distinctions in peripheral blood inflammatory markers between the two groups of patients and their relationships with NVG secondary to PDR were analyzed.RESULTS:No statistically significant differences were observed in basic characteristics between the two groups, confirming their comparability. However, significant differences were found in eosinophil percentage and MLR between the PDR group and the NVG secondary to PDR group(all P<0.05), with both values being significantly higher in the NVG secondary to PDR group. Multivariate Logistic regression analysis revealed that the eosinophil percentage and the MLR were factors influencing the development of patients with NVG secondary to PDR.CONCLUSION: Eosinophil percentage and MLR may be associated with the progression of PDR to NVG, and could serve as potential predictive markers for NVG development in PDR patients.

ObjectiveTo understand the uncorrected visual acuity, spherical equivalent and hyperopia reserve of 6‒8-year-old primary school students in Jing’an District of Shanghai, and to provide a scientific basis for further myopia prevention and control. MethodsA total of 619 children aged between 6‒8 years old from three primary schools in Jing’an District were selected by cluster sampling method for uncorrected eye visual acuity examination and diopter examination after cycloplegia (mydriasis). ResultsThe mean uncorrected visual acuity of the619 students aged 6‒8 years old was (4.9±0.2), and the mean spherical equivalent was (0.84±1.11) D. The difference in uncorrected visual acuity was not statistically significant as the age increased (F=0.057, P=0.812), but the spherical equivalent decreased with the increase of age, showing a statistically significant difference (F=26.533, P<0.001). There was no statistically significant difference in uncorrected visual acuity(t=-1.614, P=0.107) and spherical equivalent (t=-1.675, P=0.094) between students of different genders. Finally, among the 619 students, 59.80% of them had abnormal uncorrected visual acuity, 34.90% had insufficient hyperopia reserve, and only 5.30% had sufficient hyperopia reserve. Besides, the proportion of abnormal uncorrected visual acuity in 7-year-old students was 67.50%, higher than that of students with other ages, and the difference was statistically significant (χ²_trend=29.729, P<0.001). While the difference in abnormal uncorrected visual acuity between students of different genders was not statistically significant (χ²=0.068, P=0.967). ConclusionThe deficiency of hyperopia reserve in 6‒8-year-old students in Jing’an District of Shanghai is serious. Attention should be paid to the visual acuity of school-aged children in lower grades, and intervention measures should be actively carried out to slow down the progression of myopia.

Objective To evaluate the effect of Internet-based psychosocial intervention for primary caregivers of patients with terminal stage cancer.Methods The relevant randomized controlled trials of Internet-based psychosocial intervention for primary caregivers of patients with terminal stage cancer were systematically searched from 10 databases,such as Chinese Biomedical Literature Database,CNKI,PubMed,Embase and CINAHL and etc.The search period was from the establishment to December 18,2023,and 2 investigators screened the literature according to inclusion and exclusion criteria and extracted data.Cochrane Manual 5.1.0 was used to assess the quality of the literature.Meta-analysis was performed using Revman 5.4 software.Results A total of 9 pieces of the literature including 592 primary caregivers were included.Meta-analysis showed that Internet-based psychosocial intervention reduced the level of anxiety and depression for primary caregivers of patients with terminal stage cancer[MD=-1.64,95％CI(-2.68,-0.59),P=0.002]and the burden of care[SMD=-0.39,95％CI(-0.60,-0.18),P＜0.001],and improved quality of life[SMD=0.25,95％CI(0.01,0.48),P=0.040];further research is needed to explore the effect of reducing the level of distress[MD=-0.88,95％CI(-1.91,0.16),P=0.100].Conclusion The Internet-based psychosocial intervention is effective in improving the anxiety,depression and the burden of care of the primary caregivers of patients with terminal stage cancer,and it can improve the quality of life;further research is needed to explore the level of distress reduction.

Objective:To understand the cognition of the family caregivers of terminal cancer patients on digital health intervention, to clarify their actual needs, and to analyze the obstacles to their acceptance of digital health intervention, so as to develop a digital health intervention plan for the family caregivers of terminal cancer patients.Methods:From February 2024 to March 2024, the family caregivers of 16 patients with terminal cancer in Hunan Cancer Hospital Pain Hospice Ward were selected by objective sampling, who met the inclusion and exclusion criteria were interviewed in a semi-structured manner about the cognition and needs of digital health intervention, and the interview contents were sorted and analyzed using the Colaizzi7 step method.Results:A total of 16 family caregivers of terminal cancer patients, 4 males and 12 females, aged 26-55 years, were interviewed. Four themes were distilled from the interview results: family caregivers of terminally cancer patients agree on the importance of digital health interventions; lack of awareness of digital health interventions; expectations of digital health interventions; and possible confounders affecting digital health interventions.Conclusions:The family caregivers of terminal cancer patients had insufficient awareness of digital health intervention, but all showed affirmation of the development of digital health intervention services. It is recommended to actively improve the basic conditions of digital health services, strengthen publicity, raise the level of awareness of the family caregivers, and positively overcome the relevant interfering factors, so as to gradually promote the development of digital health services.

ObjectiveTo investigate the epidemic characteristics and influencing factors of acute conjunctivitis caused by human adenovirus（HAdv）in Yantian District of Shenzhen City， Guangdong Province from 2014 to 2022， and to provide evidence for formulating effective prevention and control measures. MethodsDescriptive epidemiology was used to analyze the epidemiological characteristics of acute hemorrhagic conjunctivitis （AHC） cases reported from the Chinese disease prevention and control information system. Etiological characteristics of laboratory-confirmed cases were analyzed， and a case-control study method of test-negative design （TND） was conducted as well. According to the result of HAdv detection， analysis was used to identify the influencing factors of morbidity. ResultsA total of 1 005 AHC cases were reported in Yantian District， Shenzhen City from 2014 to 2022， with an average annual incidence rate of 49.49/10⁵. The incidence rate ranged from 4.67/10⁵ to 117.28/10⁵. The peak incidence occurred from July to October each year， with a male-to-female ratio of 1.42∶1. The median （P₂₅，P₇₅） age of onset was 29（12，40） years. A total of 716 eye swabs were collected for etiological detection from 2014 to 2022. HAdv positive detection rate was 36.45% （263/716）， Cox 24v positive detection rate was 0.28% （2/716）， while EV70 was not detected. The longest viral shedding time in eye swabs was 10 days， with a median of 2 days. The highest HAdv positive detection rate （47.47%） was observed when the sampling-to-onset interval was 4‒5 days， and the difference was statistically significant （P<0.05）， with a trend of first increasing and then decreasing. Multivariate logistic regressing analysis showed that aged 18‒ years， and average temperature higher than 24.90 ℃ 3 days before onset （P<0.05） were the risk factors for acute HAdv conjunctivitis. ConclusionAHC in Yantian District， Shenzhen City showed a low level of prevalence from 2014 to 2022， with HAdv being the predominant pathogen. The peak period of viral shedding occurred on the 4th to 5th day after symptom onset， suggesting the importance of adherence to strict home isolation for infected persons. Aged18‒ years and average temperature increased 3 days before onset are associated with an increased risk of adenoviral conjunctivitis. It is recommended to strengthen personal protection and keep doing a good job of AHC surveillance and early warning， so as to timely prevent the outbreaks of AHC.

BACKGROUND:Olfactory dysfunction is an early biological marker of various diseases.However,the neuroimaging mechanism by which olfactory dysfunction occurs following cerebral small vessel disease is unclear. OBJECTIVE:To explore the different neuroimaging mechanisms of olfactory function regulation in patients with cerebral small vessel disease and Parkinson's disease,and explore the potential application value of olfactory function assessment in patients with cerebral small vessel disease. METHODS:Neuropsychological and olfactory tests,high-resolution structural magnetic resonance and resting-state functional magnetic resonance data were collected in 80 patients with cerebral small vessel disease,44 healthy controls and 29 patients with Parkinson's disease.DPABI,SPM12 and SPSS were used to analyze and compare the amplitude of low frequency fluctuation,regional homogeneity and functional connectivity values between the cerebral small vessel disease,control and Parkinson's disease groups.Correlations between the significantly altered resting-state functional magnetic resonance imaging measures and olfactory and cognitive scores were evaluated. RESULTS AND CONCLUSION:Compared with the control group,low-frequency fluctuation amplitude of the right dorsolateral superior frontal gyrus and the regional homogeneity of the left wedge leaf were significantly reduced in the cerebral small vessel disease and Parkinson's disease groups.The right dorsolateral superior frontal gyrus and the left cuneiform lobe are the seed points.Compared with the Parkinson's disease group,the functional connectivity values of the right anterior cunei,inferior temporal gyrus,anterior central gyrus and dorsolateral superior frontal gyrus,left posterior central gyrus and inferior temporal gyrus were significantly enhanced in the control and cerebral small vessel disease groups.The left cuneiform lobe was the seed point.Compared with the control group,the functional connectivity of the left lingual gyrus was significantly weakened in the cerebral small vessel disease and Parkinson's disease groups.The functional connectivity values of the left middle temporal gyrus and the right posterior central gyrus were enhanced in the control group compared with the cerebral small vessel disease and Parkinson's disease group,and that was enhanced in the cerebral small vessel disease group compared with the Parkinson's disease group.Correlation analysis showed that the olfactory score and cognitive score were positively correlated in the cerebral small vessel disease group,and the regional homogeneity of the left wedge lobe was negatively correlated with the Montreal Cognitive Assessment Scale score,while the functional connectivity of left wedge lobe-left middle temporal gyrus in the Parkinson's disease group was positively correlated with the olfactory recognition score,and the functional connectivity values of the left wedge lobe-left posterior central gyrus and left wedge lobe-left lingual gyrus were positively correlated with the olfactory identification score and the total olfactory score,respectively.The regulation of olfactory function in patients with cerebral small vessel disease has a different neuroimaging mechanism from that of olfactory dysfunction in patients with Parkinson's disease.The olfactory function of patients with cerebral small vessel disease is related to cognitive function.It is speculated that the olfactory function following cerebral small vessel disease is a secondary change of brain dysfunction,while olfactory dysfunction following Parkinson's disease is directly caused by abnormal function of olfactory-related brain areas.Olfactory function assessment in patients with cerebral small vessel disease has potential application in predicting cognitive function.

Objective:To establish a predictive model of the first cesarean delivery in multiparous women based on the situation of two consecutive pregnancies.Methods:The data of patients with two consecutive deliv-eries of single live birth and the previous delivery was vaginal delivery in the First Affiliated Hospital of Soochow U-niversity during the second delivery time range from January 1,2018 to December 31,2021 were retrospectively analyzed.According to whether the second pregnancy occurred cesarean section,the patients were divided into two groups(vaginal delivery group and cesarean section group).Univariate,stepwise,and multiple Logistic re-gression analyses were used to screen the influencing factors of multipara's first cesarean section delivery,and the prediction model was established.R language was used to build the model's nomogram and calibration curve.The bootstrap resampling method was used for internal verification.After establishing the model,clinical data of patients with two consecutive births of single live birth between January 1,2022 and April 1,2023 were retrospec-tively collected for external verification of the model.Results:①A total of 2709 patients were included in this study for modeling,of which 6.31％(171/2709)underwent cesarean section for the first time.603 cases were included for external verification.②According to univariate,stepwise and multivariate Logistic regression analysis,all the variables affecting the first delivery by cesarean section were screened out,including:abnormal labor in previous labor,age of current delivery,assisted reproductive technology,hypertension disorder complicating pregnancy,pregnancy with thrombocytopenia,oligohydramnios,excessive amniotic fluid,macrosomia,fetal growth restriction,abnormal fetal position,fetal distress,all of the above variables P＜0.05 and incorporated into the final prediction model.③The AUC of this model was 0.949(95％CI 0.928-0.969),and the calibration curve showed that the model intercept was 0 and the slope was 1.Hosmer-Lemeshow test had a P＞0.05,indicating that the model had a high accuracy.④The AUC of external validation was 0.958,the slope of the calibration curve was 0.972,and the Hosmer-Lemeshow test had a P of 0.49.Conclusions:The prediction model of the first delivery by cesarean section during the second pregnancy has been established.The prediction efficiency of the model is good,and it can provide a tool for the individualized evaluation of menstrual women in clinical work.

Objective:To establish a predictive model of the first cesarean delivery in multiparous women based on the situation of two consecutive pregnancies.Methods:The data of patients with two consecutive deliv-eries of single live birth and the previous delivery was vaginal delivery in the First Affiliated Hospital of Soochow U-niversity during the second delivery time range from January 1,2018 to December 31,2021 were retrospectively analyzed.According to whether the second pregnancy occurred cesarean section,the patients were divided into two groups(vaginal delivery group and cesarean section group).Univariate,stepwise,and multiple Logistic re-gression analyses were used to screen the influencing factors of multipara's first cesarean section delivery,and the prediction model was established.R language was used to build the model's nomogram and calibration curve.The bootstrap resampling method was used for internal verification.After establishing the model,clinical data of patients with two consecutive births of single live birth between January 1,2022 and April 1,2023 were retrospec-tively collected for external verification of the model.Results:①A total of 2709 patients were included in this study for modeling,of which 6.31％(171/2709)underwent cesarean section for the first time.603 cases were included for external verification.②According to univariate,stepwise and multivariate Logistic regression analysis,all the variables affecting the first delivery by cesarean section were screened out,including:abnormal labor in previous labor,age of current delivery,assisted reproductive technology,hypertension disorder complicating pregnancy,pregnancy with thrombocytopenia,oligohydramnios,excessive amniotic fluid,macrosomia,fetal growth restriction,abnormal fetal position,fetal distress,all of the above variables P＜0.05 and incorporated into the final prediction model.③The AUC of this model was 0.949(95％CI 0.928-0.969),and the calibration curve showed that the model intercept was 0 and the slope was 1.Hosmer-Lemeshow test had a P＞0.05,indicating that the model had a high accuracy.④The AUC of external validation was 0.958,the slope of the calibration curve was 0.972,and the Hosmer-Lemeshow test had a P of 0.49.Conclusions:The prediction model of the first delivery by cesarean section during the second pregnancy has been established.The prediction efficiency of the model is good,and it can provide a tool for the individualized evaluation of menstrual women in clinical work.

Objective:To establish a predictive model of the first cesarean delivery in multiparous women based on the situation of two consecutive pregnancies.Methods:The data of patients with two consecutive deliv-eries of single live birth and the previous delivery was vaginal delivery in the First Affiliated Hospital of Soochow U-niversity during the second delivery time range from January 1,2018 to December 31,2021 were retrospectively analyzed.According to whether the second pregnancy occurred cesarean section,the patients were divided into two groups(vaginal delivery group and cesarean section group).Univariate,stepwise,and multiple Logistic re-gression analyses were used to screen the influencing factors of multipara's first cesarean section delivery,and the prediction model was established.R language was used to build the model's nomogram and calibration curve.The bootstrap resampling method was used for internal verification.After establishing the model,clinical data of patients with two consecutive births of single live birth between January 1,2022 and April 1,2023 were retrospec-tively collected for external verification of the model.Results:①A total of 2709 patients were included in this study for modeling,of which 6.31％(171/2709)underwent cesarean section for the first time.603 cases were included for external verification.②According to univariate,stepwise and multivariate Logistic regression analysis,all the variables affecting the first delivery by cesarean section were screened out,including:abnormal labor in previous labor,age of current delivery,assisted reproductive technology,hypertension disorder complicating pregnancy,pregnancy with thrombocytopenia,oligohydramnios,excessive amniotic fluid,macrosomia,fetal growth restriction,abnormal fetal position,fetal distress,all of the above variables P＜0.05 and incorporated into the final prediction model.③The AUC of this model was 0.949(95％CI 0.928-0.969),and the calibration curve showed that the model intercept was 0 and the slope was 1.Hosmer-Lemeshow test had a P＞0.05,indicating that the model had a high accuracy.④The AUC of external validation was 0.958,the slope of the calibration curve was 0.972,and the Hosmer-Lemeshow test had a P of 0.49.Conclusions:The prediction model of the first delivery by cesarean section during the second pregnancy has been established.The prediction efficiency of the model is good,and it can provide a tool for the individualized evaluation of menstrual women in clinical work.