Objective To analyze the risk factors associated with early recurrence after surgery for concomitant exo-tropia and establish a Nomogram prediction model.Methods A retrospective analysis was conducted on 243 cases(486 eyes)of concomitant exotropia treated in the Ophthalmology Department of our hospital from October 2015 to October 2021.The patients were divided into a training set(n=170)and a validation set(n=73)at a ratio of 7∶3.The Lasso re-gression,Boruta algorithm,and random forest algorithm were used to screen risk variables related to postoperative recur-rence of concomitant exotropia.The Spearman correlation analysis and variance inflation factor(VIF)were used to assess collinearity among variables,and a Nomogram prediction model was established using multivariate Cox regression.The re-ceiver operating characteristic curve,calibration curve,and clinical decision curve of the model at 6 months,18 months,and 24 months after surgery were used to assess the efficacy of the model.Results Three machine learning methods in-cluding Lasso regression,Boruta algorithm,and random forest algorithm identified six significant variables that might con-tribute to early recurrence after strabismus surgery from 22 risk variables in both training and validation sets.No collineari-ty was found among the six variables(r＜0.6,VIF＜5).Multivariate Cox regression revealed that strabismus type(inter-mittent exotropia),preoperative strabismus angle,best-corrected visual acuity(BCVA)in the right eye,BCVA in both eyes,and surgical procedures(unilateral lateral rectus recession)were risk factors for early recurrence after surgery for concomitant exotropia.Meanwhile,a Nomogram prediction model was constructed based on these 6 factors.The receiver operating characteristic,calibration,and clinical decision curves indicated that the prediction model had good accuracy,consistency,and clinical applicability.Conclusion Nomogram prediction model can effectively predict the risk of early recurrence after surgery for concomitant exotropia,and provides a reference for ophthalmologists to intervene early in pa-tients.

Objective To analyze the risk factors associated with early recurrence after surgery for concomitant exo-tropia and establish a Nomogram prediction model.Methods A retrospective analysis was conducted on 243 cases(486 eyes)of concomitant exotropia treated in the Ophthalmology Department of our hospital from October 2015 to October 2021.The patients were divided into a training set(n=170)and a validation set(n=73)at a ratio of 7∶3.The Lasso re-gression,Boruta algorithm,and random forest algorithm were used to screen risk variables related to postoperative recur-rence of concomitant exotropia.The Spearman correlation analysis and variance inflation factor(VIF)were used to assess collinearity among variables,and a Nomogram prediction model was established using multivariate Cox regression.The re-ceiver operating characteristic curve,calibration curve,and clinical decision curve of the model at 6 months,18 months,and 24 months after surgery were used to assess the efficacy of the model.Results Three machine learning methods in-cluding Lasso regression,Boruta algorithm,and random forest algorithm identified six significant variables that might con-tribute to early recurrence after strabismus surgery from 22 risk variables in both training and validation sets.No collineari-ty was found among the six variables(r＜0.6,VIF＜5).Multivariate Cox regression revealed that strabismus type(inter-mittent exotropia),preoperative strabismus angle,best-corrected visual acuity(BCVA)in the right eye,BCVA in both eyes,and surgical procedures(unilateral lateral rectus recession)were risk factors for early recurrence after surgery for concomitant exotropia.Meanwhile,a Nomogram prediction model was constructed based on these 6 factors.The receiver operating characteristic,calibration,and clinical decision curves indicated that the prediction model had good accuracy,consistency,and clinical applicability.Conclusion Nomogram prediction model can effectively predict the risk of early recurrence after surgery for concomitant exotropia,and provides a reference for ophthalmologists to intervene early in pa-tients.

The complex barriers to drug delivery in the eye make it difficult for traditional ophthalmic preparations to reach pathological tissues in the posterior segment of the eye via ocular surface. Therefore, intravitreal drug injection has been widely used for treating posterior segment diseases, but this invasive approach to drug delivery has disadvantages such as short drug half-lives, repeated injections, and many complications. Ophthalmic nanodrug delivery systems, which can overcome ocular drug delivery barriers, enhance drug permeability, and improve drug bioavailability, now make it possible to efficiently deliver drugs to the posterior segment of the eye. However, the carrier materials utilized for nanomedicine delivery are inherently intricate, and substantial disparities exist among research findings, posing a hindrance to the subsequent advancement of pertinent drug formulations. Consequently, this review centers on the principal physiological obstacles encountered in ocular drug delivery, emphasizing the utilization of diverse nanomedicine delivery systems in posterior segment pathologies. It aims to delve into their research progress in posterior segment diseases and establish a safer, more effective therapeutic approach for treating these ocular conditions.

Objective:To develop a risk assessment tool for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer, and to verify its predictive efficiency, so as to provide reference for risk assessment and nursing intervention of nausea and vomiting in patients with primary liver cancer.Methods:A cross-sectional survey was used. The risk assessment tool was compiled by using literature analysis, Delphi expert consultation and analytic hierarchy process. 153 patients with primary liver cancer who underwent transcatheter arterial chemoembolization in the Department of Intervention, Jiangsu Cancer Hospital from May 2022 to April 2023 were selected for assessment by using convenience sampling method. Receiver operating characteristic curve, sensitivity, specificity and Youden index were used to test the prediction efficiency of risk assessment tools.Results:Among 153 patients, there were 78 males, 75 females, aged (48.44 ± 7.76) years old. The expert positive coefficient of the three rounds of inquiry letters was all 100%, the expert authority coefficient was 0.936, 0.950 and 0.960 respectively, and the Kendall harmony coefficient was 0.490, 0.327 and 0.414 respectively (all P<0.01). The risk assessment tool for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer included 14 items. The results of prediction efficiency analysis showed that the area under the receiver operating characteristic curve was 0.938 (95% CI 0.903-0.974, P<0.01). When the cut-off score was 56.2, the sensitivity, specificity and Youden index of the risk assessment tool were 0.926, 0.881 and 0.807, which had the best prediction efficiency. Conclusions:The risk assessment tool for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer has high scientificity, predictive efficiency and practicability, and is suitable for the risk assessment for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer in China.

Objective:To analyze the status and influencing factors of empathy fatigue in hospice nurses based on ABC-X model (A: stressor event; B:resources available to a family; C: family sperceptions of the stressor; X: likelihood of crisis), so as to provide a reliable basis for developing comprehensive intervention strategies.Methods:A total of 325 nurses engaged in hospice care in China from April 2022 to June 2022 were selected by convenient sampling method. The influencing factors of empathy fatigue of hospice care nurses were analyzed by ABC-X model (working environment, resilience and coping style). The hospice care nurses were investigated by self-made general questionnaire, Chinese version of Empathy Fatigue Scale, Simplified Coping Style Questionnaire, Coping Style Resilience Scale and Nursing Work Environment Scale. The statistical analysis was performed by SPSS.26.0 statistical software.Results:There were 316 females and 9 males with age of (33.0 ± 7.9) years old. The total score of empathy fatigue in 325 hospice nurses was (91.16 ± 9.60) points, the scores of empathy satisfaction, ocupational burnout and secondary traumatic stress were (31.35 ± 6.01), (28.43 ± 5.86), (31.38 ± 5.76) points respectively. The scores of positive coping style, negative coping style, psychological resilience and nursing working environment were (37.46 ± 5.69), (21.28 ± 6.90), (89.84 ± 16.46), (117.13 ± 19.95) points respectively. The negative predictive factor for empathy satisfaction among nurses with the professional title of palliative care ( t=-4.22, P<0.05), and the positive predictive factors for simple coping strategies, psychological resilience, and nursing work environment ( t=4.52, 3.05, 9.03, all P<0.05), could explain 56.7% of the total variation. Psychological resilience, simplified coping strategies, nursing work environment were negative predictive factors for occupational burnout among hospice nurses ( t=-6.93, -3.54, -2.51, all P<0.05), while work nature was a positive predictive factor ( t=2.36, P<0.05), which could explain 49.4% of the total variation. Simplified coping strategies, psychological resilience, and nursing work environment were all negative predictors of secondary traumatic stress in hospice nurses ( t=-5.40, -3.25, -5.95, all P<0.05), which could explain 48.8% of the total variation. Conclusions:Based on the ABC-X model, it is found that the empathic fatigue of hospice nurses is mainly affected by the nursing work environment, mental resilience and coping styles. It is necessary for nursing managers to actively take measures to improve the working environment and coping styles of nurses, enhance their mental resilience and reduce their empathic fatigue.

Objective:To investigate the association between hyperuricemia and the risk for stroke occurrence, as well as the mediating effect of hypertension on this association.Methods:In this study, the China Chronic Diseases and Nutrition Surveillance system in 2015 was used as baseline data. We identified hospital admissions for stroke using the electronic homepage of inpatient medical records from 2013-2020, and death data were obtained from the 2015-2020 National Mortality Surveillance System. A retrospective cohort was established after matching and linking the database. The Cox proportional hazard regression model was used to analyze the relationship between hyperuricemia and the risk of stroke and its subtypes. Restricted cubic spline analysis was conducted to examine the dose-response relationship between serum uric acid levels and the risk for stroke. Mediation analysis was performed to investigate the mediating effect of hypertension on the association between hyperuricemia and the risk for stroke and its subtypes. Subgroup analyses were conducted based on gender and age groups.Results:A total of 124 352 study subjects were included, with an accumulative follow-up time of 612 911.36 person-years. During the follow-up period, 4 638 cases of stroke were found, including 3 919 cases of ischemic stroke and 689 cases of hemorrhagic stroke. The incidence density of stroke was 756.72 per 100 000 person-years, 641.37 per 100 000 person-years for ischemic stroke, and 114.60 per 100 000 person-years for hemorrhagic stroke. Multivariable Cox proportional hazards regression models showed that after adjusting for covariates, compared to those without hyperuricemia, individuals with hyperuricemia had a 16% higher risk for stroke [hazard ratio ( HR)=1.16, 95% CI: 1.06-1.27], a 12% higher risk of ischemic stroke ( HR=1.12, 95% CI: 1.01-1.24), and a 39% higher risk of hemorrhagic stroke ( HR=1.39, 95% CI: 1.11-1.75). Mediation analysis showed that hypertension partially mediated the associations between hyperuricemia and the risk for stroke, ischemic stroke, and hemorrhagic stroke, with mediation proportions of 36.07%, 39.98%, and 25.34%, respectively. The mediating effect is pronounced in the male population and individuals below 65. Conclusion:Hyperuricemia is a risk factor for stroke, and hypertension partially mediates the effect of hyperuricemia on stroke.

Objective:To study the prevalence and association factors of depressive and anxiety disorders in the hypertensive population.Methods:Using the database obtained from the 2013 China Chronic Disease and Risk Factor Surveillance and the 2013-2015 China Mental Health Survey,4 861 hypertensive residents were used as study subjects.And using the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)as diagnostic criterion for depressive and anxiety disorders,the 12-month prevalence was calculated.Multifactorial lo-gistic regression models were used to explore the association factors of hypertension comorbid depressive and anxie-ty disorders.Results:The 12-month prevalence rates of depressive disorders and anxiety disorders were 4.1％and 5.0％in 4 861 hypertensive residents.Chinese Han[OR(95％CI):2.00(1.01-3.93)],lack of sleep[OR(95％CI):1.82(1.34-2.48)],having myocardial infarction[OR(95％CI):2.35(1.18～4.67)]and stroke in the past year[OR(95％CI):2.10(1.19-3.72)],and chronic obstructive pulmonary disease[OR(95％CI):2.11(1.11-4.05)]were risk factors of hypertension comorbid depressive disorder.Hypertensive people with controlled blood pressure[OR(95％CI):2.01(1.30-3.13)]had a higher risk of co-morbid depressive disorder than those with blood pressure above the normal range on this measurement.Chinese Han[OR(95％CI):2.51(1.32-4.80)],Southwest China[OR(95％CI):1.64(1.02-2.63)],and lack of sleep[OR(95％CI):1.45(1.09-1.93)]were risk factors of hypertension comorbid anxiety disorder.Former but current non-smoking[OR(95％CI):0.48(0.23-0.99)]was a protective factor of hypertension comorbid anxiety disorder.Conclusion:The 12-month prevalence of anxiety disorder was higher than that of depressive disorder in this hypertensive population.Both Han and sleep deprived hypertensive people had a higher risk of comorbid depressive and anxiety disorders.

Objective:To analyze the comorbidity status and influencing factors of hypertension, diabetes, and dyslipidemia among middle-aged and elderly Chinese adults and to provide support for the "co-management of three diseases".Methods:Using the relevant information collected from the National Chronic Disease and Risk Factor Surveillance in China in 2018, 134 950 permanent residents aged ≥45 years were selected as the research objects. After being weighed, the prevalence and comorbidity of hypertension, diabetes, and dyslipidemia in residents with different groups were compared; a multivariate logistic regression model was used to explore the influencing factors of comorbidity of the "three diseases".Results:The prevalence of hypertension, diabetes, and dyslipidemia among middle-aged and elderly Chinese adults were 46.0% (95% CI:45.1%-47.0%), 19.5% (95% CI:18.7%-20.2%), 43.3% (95% CI:42.3%-44.4%), respectively. The comorbidity rates of hypertension and diabetes, hypertension and dyslipidemia, and diabetes and dyslipidemia were 12.3% (95% CI:11.7%-12.8%), 22.8% (95% CI:22.1%-23.4%),11.6% (95% CI:11.1%-12.0%), respectively; the comorbidity rate of hypertension, diabetes, and dyslipidemia was 7.6% (95% CI: 7.2%-8.0%). These comorbidity rates increased with age and BMI, which was more significant in the urban areas than rural areas and more outstanding in North and Northeast China ( P<0.05). The comorbidity rate of hypertension, diabetes, and higher cholesterol was 1.9% (95% CI:1.7%-2.1%). The comorbidity rate of hypertension, diabetes, and higher low-density lipoprotein was 1.6% (95% CI:1.4%-1.7%), which was higher in women than in men ( P<0.05). Multivariate logistic regression results showed that male, age, city, overweight/obesity, excessive drinking, physical inactivity, daily sedentary behavior time ≥5 hours, and sleep duration <7 hours were risk factors for the comorbidity of the "three diseases". Conclusions:The comorbidity of hypertension, diabetes, and dyslipidemia, is common among middle-aged and elderly adults in China; comprehensive prevention and control of risk factors and "co-management of three diseases" are critical measures for health promotion in middle-aged and elderly populations.

Objective:To understand the regular leisure-time physical activity status of residents aged ≥60 years in China and to explore the potential influencing factors.Methods:National Chronic Disease and Risk Factor Surveillance were conducted in 298 counties (districts) in China in 2018, which covered 31 provinces (autonomous regions, municipalities), using a multi-stage stratified cluster random sampling method to select 194 779 permanent residents aged ≥18 years, using a questionnaire containing the Global Physical Activity Questionnaire. A face-to-face survey to obtain demographic information about the survey respondents, the frequency of moderate and vigorous-intensity leisure-time physical activity in their spare time and time, and other information related to chronic diseases and risk factors. Daily temperatures of 298 monitored counties (districts) in 2018 were obtained by inversion of satellite remote sensing data information such as MODIS, OMI, and AIRS, and the number of parks in 2017 was obtained by me. In this study, 68 379 residents aged ≥60 years who completed the survey and had complete information on leisure-time physical activity-related variables, temperature, and parks were used as survey respondents, and the prevalence of regular leisure-time physical activity and average weekly exercise time was calculated by gender in groups of age, urban and rural areas, education level, and geography. Multi-factor logistic regression models were used to analyze the individual and environmental influences on the regular exercise rate. All the results were weighted according to a complex sampling scheme.Results:The prevalence of regular leisure-time physical activity of residents aged ≥60 years in China in 2018 was 13.1% (95% CI: 12.1%-14.0%). The figures were slightly higher for men [13.6% (95% CI: 12.6%-14.7%)] than for women [12.5% (95% CI: 11.5%-13.5%)]; urban [17.5% (95% CI: 15.9%-19.1%)] were significantly higher than those in rural areas [9.6% (95% CI: 8.8%-10.4%)]; the prevalence of regular leisure-time physical activity in East China [15.1% (95% CI: 13.3%-16.9%)] was higher than those in other regions; older residents in counties (districts) with ≥28 parks [17.3% (95% CI: 15.3%-19.2%)] the highest. The average weekly exercise time of elderly residents in China was 68.3 (95% CI: 63.5-73.2) minutes; among them, men [74.3 (95% CI: 68.1-80.5) minutes] was higher than women [62.5 (95% CI: 57.8-67.2) minutes]; urban [89.8 (95% CI: 82.0-97.7) minutes] were higher than rural [51.4 (95% CI: 46.8-56.1) minutes]. The results of the multi-factorial logistic analysis showed that factors such as: living in rural areas, lower annual household income for literacy, poorer self-rated health status, and lack of parks in the area of residence were associated with a lower prevalence of regular leisure-time physical activity among elderly residents. Conclusions:The prevalence of regular leisure-time physical activity among elderly residents in China is still at a low level, and exercise time needs to be improved. We should increase the publicity of "national fitness", pay attention to the disadvantaged elderly groups and provide more suitable activity places to encourage more elderly residents to participate in leisure-time physical activity.

Objective:To examine the association between hemoglobin level and increased heart rate among the Chinese elderly.Methods:The study subjects were those 60 years or above and participated in the 2018 of China Chronic Disease and Risk Factor Surveillance. According to the hemoglobin level used to define anemia severity and corresponding tertiles among non-anemia, men and women were separately categorized into five groups. Multivariable logistic regression of increased heart rate on hemoglobin groups was performed, with confounders and intracluster correlation taken into account. Additionally, a restricted cubic spline was employed to interrogate their dose-response relationship.Results:A total of 71 409 elderly were finally included in the analysis. The weighted mean of hemoglobin concentration and heart rate was (142.6±17.7) g/L and (78.5±12.2) times/minute, respectively. In comparison to men with hemoglobin concentration between 130 and 147 g/L or women between 120 and 133 g/L, the odds ratio ( OR) of increased heart rate were 1.39 (95% CI: 1.17-1.64), 1.10 (95% CI: 0.99-1.21), 1.16 (95% CI: 1.09-1.23), and 1.42 (95% CI: 1.33-1.51) for men with a hemoglobin concentration of <110, 110-129, 148-158, and ≥159 g/L, respectively, and was 1.17 (95% CI: 1.02-1.33), 1.02 (95% CI: 0.93-1.12), 1.13 (95% CI: 1.07-1.19), and 1.40 (95% CI: 1.32-1.48) for women with a hemoglobin concentration of <110, 110-119, 134-142, and ≥143 g/L, respectively. Higher odds of increased heart rate associated with a hemoglobin concentration of <110 g/L were only observed among men aged 60-74 years ( OR=1.41, 95% CI: 1.15-1.73) and non-obese women ( OR=1.22, 95% CI: 1.07-1.40) but not their counterparts. The results from restricted cubic spline suggested that hemoglobin concentration, as a continuous variable, showed a U-shaped association with odds of increased heart rate. Conclusions:Lower and higher hemoglobin levels were positively associated with the risk of increased heart rate among the Chinese elderly. Maintaining hemoglobin levels within a specific range may be helpful for the management of heart rate, which in turn reduces the burden of cardiovascular diseases among older adults.