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 explore the effects of air pressure, humidity, wind, and sunshine on the incidence of cardiovascular and cerebrovascular diseases (CVD) in Guiyang, and to provide reference for the prevention of CVD. Methods Using CVD incidence data from September 2021 to August 2022 in Guiyang City and meteorological data including average air pressure, average humidity, wind, and sunshine during the same period, the effects of meteorological factors on CVD incidence were explored and the importance of each factor was analyzed. Results When air pressure was below 868 hPa, above 887 hPa, or between 877 and 883 hPa, and when air pressure dropped less than 5.3 hPa within 24 hours, there was a higher risk of CVD. When the humidity was above 81%, the wind speed was small (<1.2 m/s) or high (>4m/s), and there was less sunlight (less than 3 hours), the risk of CVD was higher. Low humidity (<60%) was not conducive to the onset of CVD. There were highest risks at lag 5~10 days and 4-25 days for high pressure and low sunlight, respectively. When the relative humidity was saturated, there was an immediate effect. When the wind speed was low and high, the immediate effect and hysteresis effects were significant. Among the above meteorological factors, the impact of 24-hour variation of pressure and high or low atmospheric pressure on the incidence of CVD was the most significant, while the impact of sunlight and humidity was the weakest. The impact of diurnal variations in wind and atmospheric pressure was not clear. Conclusion The impact of air pressure on the incidence of CVD does not exhibit a simple linear relationship. The risk of CVD is high in high humidity, low light, and moderate or strong winds. It is necessary to fully consider changes in meteorological factors for CVD prevention and control.

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 changing trend of the disease burden of age-related macular degeneration(AMD)in China from 1990 to 2021 and the impact of age,period,and cohort effects,and to predict the standardized prev-alence and disability-adjusted life year(DALY)rate of AMD in China from 2022 to 2035.Methods The data on the preva-lence of AMD,the number of AMD patients,DALYs,and DALY rates in China from 1990 to 2021 were obtained from the Global Burden of Disease(GBD 2021).The segmented regression model was used to analyze the trend changes in the prev-alence and DALY of patients with AMD in China,the age-period-cohort(APC)model was employed to estimate the age,period,and cohort effects related to the prevalence risk and DALY risk of AMD,and the Bayesian age-period cohort model was used to analyze the standardized prevalence and DALY rate of AMD in China from 2022 to 2035.Results Compared with 1990,the number of AMD patients and the prevalence of this disease in China in 2021 increased by 199.94％and 148.02％,respectively,and the DALYs and DALY rate increased by 183.95％and 134.80％,respectively,with the higher value of relevant indicators observed in females compared with males.From 1990 to 2021,the standardized prevalence of AMD in China showed an increasing trend,with the average annual percentage change(AAPC)being 0.17％.In contrast,the standardized DALY rate of AMD showed a decreasing trend,with the AAPC being-0.03％.The results of the age-peri-od-cohort model showed that the longitudinal age curves for both the prevalence and DALY rate of AMD in China showed an increasing and then decreasing trend,peaking at 85-89 years of age.Over time,the prevalence risk of AMD increased and then decreased,while the DALY risk continued to decline.The birth cohort analysis results showed that the overall fluctua-tion of the AMD prevalence risk cohort effect in China was small,with a decline first and then a fluctuating increase.Mean-while,the DALY risk gradually decreased as the birth cohort moved backward.It can be predicted that both the standard-ized prevalence and the standardized DALY rate of AMD may present an upward trend in China from 2022 to 2035.Conclu-sion From 1990 to 2021,the standardized prevalence of AMD in China displays an upward trend,while its standardized DALY rate exhibits a downward trend.Notably,the disease burden is more pronounced in the female population compared with the male population.With the continued aging of the population,it can be predicted that both the standardized preva-lence and DALY rate of AMD will escalate from 2022 to 2035.This finding underscores the need for targeted interventions,particularly for elderly women.Meanwhile,it is necessary to enhance health education for the whole population and formu-late effective public health policies to alleviate the disease burden associated with AMD in China.

Objective To analyze the changing trend of the disease burden of age-related macular degeneration(AMD)in China from 1990 to 2021 and the impact of age,period,and cohort effects,and to predict the standardized prev-alence and disability-adjusted life year(DALY)rate of AMD in China from 2022 to 2035.Methods The data on the preva-lence of AMD,the number of AMD patients,DALYs,and DALY rates in China from 1990 to 2021 were obtained from the Global Burden of Disease(GBD 2021).The segmented regression model was used to analyze the trend changes in the prev-alence and DALY of patients with AMD in China,the age-period-cohort(APC)model was employed to estimate the age,period,and cohort effects related to the prevalence risk and DALY risk of AMD,and the Bayesian age-period cohort model was used to analyze the standardized prevalence and DALY rate of AMD in China from 2022 to 2035.Results Compared with 1990,the number of AMD patients and the prevalence of this disease in China in 2021 increased by 199.94％and 148.02％,respectively,and the DALYs and DALY rate increased by 183.95％and 134.80％,respectively,with the higher value of relevant indicators observed in females compared with males.From 1990 to 2021,the standardized prevalence of AMD in China showed an increasing trend,with the average annual percentage change(AAPC)being 0.17％.In contrast,the standardized DALY rate of AMD showed a decreasing trend,with the AAPC being-0.03％.The results of the age-peri-od-cohort model showed that the longitudinal age curves for both the prevalence and DALY rate of AMD in China showed an increasing and then decreasing trend,peaking at 85-89 years of age.Over time,the prevalence risk of AMD increased and then decreased,while the DALY risk continued to decline.The birth cohort analysis results showed that the overall fluctua-tion of the AMD prevalence risk cohort effect in China was small,with a decline first and then a fluctuating increase.Mean-while,the DALY risk gradually decreased as the birth cohort moved backward.It can be predicted that both the standard-ized prevalence and the standardized DALY rate of AMD may present an upward trend in China from 2022 to 2035.Conclu-sion From 1990 to 2021,the standardized prevalence of AMD in China displays an upward trend,while its standardized DALY rate exhibits a downward trend.Notably,the disease burden is more pronounced in the female population compared with the male population.With the continued aging of the population,it can be predicted that both the standardized preva-lence and DALY rate of AMD will escalate from 2022 to 2035.This finding underscores the need for targeted interventions,particularly for elderly women.Meanwhile,it is necessary to enhance health education for the whole population and formu-late effective public health policies to alleviate the disease burden associated with AMD in China.

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.

Ocular accommodation refers to the process by which the ciliary muscle creates a clear image of the object in the retina by changing the refractive power of the lens. When the accommodation ability of the eye is insufficient, the imaging focus falls on the region behind the retina and hyperopic defocus is easily formed, resulting in axial growth and leading to the development of myopia, and it is found that most myopic patients usually have some accommodation dysfunction. Myopia has become a public health problem in China, and the prevalence of adolescents has increased dramatically. How to prevent and stop the occurrence and development of myopia is a major challenge. Previous studies have found that ocular accommodation dysfunction is associated with the occurrence and development of myopia, and the measurement of parameters related to accommodation function has certain guiding significance for the prevention and control of myopia. The purpose of this paper is to review the correlation between myopia and ocular accommodation function, with a view to providing new ideas for the prevention, control and treatment of myopia.

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 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 assess the effects of temperature and rainfall on the incidence of cardiovascular and cerebrovascular diseases (CVD) in Guiyang. Methods Using daily CVD incidence data and temperature and rainfall data in Guiyang City from September 2021 to August 2022, a distributed lag non-linear model was used to explore the nonlinear relationship between meteorological and environmental factors and CVD incidence. Results The risk of CVD was higher under cold (average, minimum, and maximum temperatures <2.1 ℃, 1.6 ℃, and 4.2 ℃, respectively) and hot (maximum temperature>32.5 ℃) effects, and the cumulative lag effect reached its maximum at 10 and 17 days, respectively. The risk of CVD increased sharply when there was a small diurnal temperature (<6.9 ℃), sudden drop in temperature (over 6.1 ℃), and heating (over 2.4 ℃ in 24 hours). The incidence risk of CVD was high when the daily rainfall exceeded 21.5 mm and the continuous rainy days exceed 5.7 days. The risk in rainstorm was 0.81 higher than that in heavy rain. Continuous absence of rain helped to prevent CVD patients from developing symptoms. Conclusion Meteorological environments such as hot and cold weather, dramatic change in temperature, significant rainfall and continuous rainfall have an impact on the incidence of CVD. It is necessary to consider the changes of the meteorological environment during the prevention and control of CVD.