AIM: To explore preoperative risk factors affecting residual astigmatism after Toric intraocular lens(IOL)implantation, and construct and verify a clinically applicable prediction model.METHODS: This retrospective study included patients who underwent Toric IOL implantation at Puyang Oilfield General Hospital and the Second People's Hospital of Puyang City from October 2023 to August 2025. Patients were categorized into two groups according to residual astigmatism at 3 mo postoperatively: >0.25 D group and ≤0.25 D group. Preoperative clinical data and ocular parameters of the two groups were collected and compared. Multivariate Logistic regression analysis was used to screen risk factors, and a nomogram prediction model was established accordingly. Receiver operating characteristic(ROC)curve, calibration curve, and Hosmer-Lemeshow test were adopted to evaluate discrimination, calibration, and clinical applicability of the model. Bootstrap method was applied for internal validation.RESULTS: Totally 103 patients(103 eyes)were included, with 72 patients(72 eyes)in the group with residual astigmatism ≤0.25 D, including 38 males and 34 females, with an average age of 67.35±6.12 y; There were 31 cases(31 eyes)in group with residual astigmatism >0.25 D, including 19 males and 12 females, with an average age of 69.87±6.45 y. The proportion of patients with a history of diabetes, as well as the values for axial length, horizontal corneal diameter, flat corneal curvature(K1), steep corneal curvature(K2), astigmatic axis and proportion of lens nuclear hardness grade III-IV were significantly higher in the residual astigmatism group >0.25 D than those in the residual astigmatism ≤0.25 D group(all P<0.05). Multivariate analysis identified increased horizontal corneal diameter, higher K1 value, higher K2 value, and higher lens nuclear hardness(grade III-IV)as independent risk factors for postoperative residual astigmatism >0.25 D(all P<0.05). The nomogram constructed from these factors demonstrated that the area under the ROC curve(AUC)was 0.794, with a sensitivity of 80.31% and a specificity of 75.20%. The concordance index(C-index)of internal validation was 0.865. Calibration curve and Hosmer-Lemeshow test(χ2=5.231, P=0.734)indicated good consistency between predicted and actual values of the model.CONCLUSION: The nomogram model established based on horizontal corneal diameter, K1, K2 and lens nucleus hardness exhibits favorable predictive performance. It can effectively predict the risk of residual astigmatism prior to Toric IOL surgery, providing reference for individualized clinical surgical planning.

Objective The aim of this study was to reveal the association characteristics between cancer and depression u-sing the data from community-based multi-morbidity study in rural China(COMMON),and provide a scientific basis for early pre-vention and intervention of depression in cancer patients.Methods We collected questionnaire responses,physical examination re-cords,health insurance data,and electronic medical records from both cancer and non-cancer participants.Using propensity score matching at a 1∶4 ratio,we balanced baseline characteristics between the cancer and control groups.We then compared the preva-lence of depression between these groups,as well as across subgroups stratified by age,sex,income,and other factors.The association between cancer and depression risk was assessed using univariate and multivariate logistic regression.Finally,we conducted sensitivity analyses by restricting the regression models to participants with mild-to-severe depression.Results After matching the baseline characteristics,a total of 206 cancer patients and 824 controls were included in the study,and all baseline characteristics between the two groups.Among all individuals,women,participants under 60 years old and those from low-income families(10,000-34,999 Yuan per year),the cancer group had a higher prevalence of depression than the non-cancer group(P<0.05),no difference was found in other subgroup(P>0.05).The results of multivariate logistic regression analysis showed that cancer was an independent risk factor for depression,and the risk of depression in cancer patients was 2.38 times that of participants without cancer(95%CI:1.44-3.89,P<0.001).The analysis results of different gender,age,and family income subgroups showed that the effect of cancer on the risk of de-pression was different among subgroups(P<0.05).Conclusions Cancer is an independent risk factor for depression.Therefore,the assessment and intervention of mental health should be paid attention during the treatment of cancer patients.It is of great significance to screen for depression in cancer patients and intervene in them to improve the life quality of patients.In addition,paying attention to high-risk groups can help to implement targeted prevention and intervention and improve their mental health.

Objective The aim of this study was to reveal the association characteristics between cancer and depression u-sing the data from community-based multi-morbidity study in rural China(COMMON),and provide a scientific basis for early pre-vention and intervention of depression in cancer patients.Methods We collected questionnaire responses,physical examination re-cords,health insurance data,and electronic medical records from both cancer and non-cancer participants.Using propensity score matching at a 1∶4 ratio,we balanced baseline characteristics between the cancer and control groups.We then compared the preva-lence of depression between these groups,as well as across subgroups stratified by age,sex,income,and other factors.The association between cancer and depression risk was assessed using univariate and multivariate logistic regression.Finally,we conducted sensitivity analyses by restricting the regression models to participants with mild-to-severe depression.Results After matching the baseline characteristics,a total of 206 cancer patients and 824 controls were included in the study,and all baseline characteristics between the two groups.Among all individuals,women,participants under 60 years old and those from low-income families(10,000-34,999 Yuan per year),the cancer group had a higher prevalence of depression than the non-cancer group(P<0.05),no difference was found in other subgroup(P>0.05).The results of multivariate logistic regression analysis showed that cancer was an independent risk factor for depression,and the risk of depression in cancer patients was 2.38 times that of participants without cancer(95%CI:1.44-3.89,P<0.001).The analysis results of different gender,age,and family income subgroups showed that the effect of cancer on the risk of de-pression was different among subgroups(P<0.05).Conclusions Cancer is an independent risk factor for depression.Therefore,the assessment and intervention of mental health should be paid attention during the treatment of cancer patients.It is of great significance to screen for depression in cancer patients and intervene in them to improve the life quality of patients.In addition,paying attention to high-risk groups can help to implement targeted prevention and intervention and improve their mental health.

Objective:To explore the oxidative stress of cerebral white matter lesion (WML) and normal-appearing white matter (NAWM) with in vivo proton exchange rate (k ex) MRI on relapse-remitting multiple sclerosis (RRMS) patients. Methods:Clinical and imaging data of 37 patients (case group) with RRMS patients of Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology were analyzed retrospectively from November 2018 to November 2021, including 11 males and 26 females aged 18-41 (29±7) years. Another 22 age-matched healthy volunteers (control group) were recruited for the same period, including 4 males and 18 females aged 23-44 years with a median age of 25 (24, 28.25) years. All subjects received conventional MR protocols and chemical exchange saturation transfer imaging. The manifestation of WML on the k ex map and T 1WI images were assessed while the k ex values of WML, NAWM and normal white matter (NWM) of control group were quantitatively evaluated. Student′s t test was used to compare the k ex difference of WML and NAWM in the case group, NAWM in the case group and NWM in the control group, low-signal and isosignal WML in T 1WI. Spearman rank correlation was used to analyze the correlation of the k ex values of WML with patients′ expanded disability status scale (EDSS) score. Results:A total of 272 WML were found in the 37 RRMS patients, and 25.4% (69/272) were T 1-hypointense. The k ex value of WML in the case group [(932±108) s -1] was higher than that of NAWM [(771±26) s -1], and the difference was statistically significant ( t=8.95, P<0.001); the k ex value of NAWM in the case group [(771±26) s -1 ] was higher than that of NWM [(745±26) s -1] in the control group, and the difference was statistically significant ( t=3.96, P<0.001). The k ex value [(1 039±110) s -1] of WML with low signal at T 1WI was higher than that of WML with equal signal [(895±79) s -1], with a statistically significant difference ( t=9.78, P<0.001). Correlation analysis showed that the k ex value of WML in the case group was positively correlated with the EDSS score ( r=0.54, P<0.001). Conclusions:The elevated k ex values of WML and NAWM reflect the cerebral oxidative stress of RRMS patients and are positively correlated to the severity of tissue damage, which suggests the role of oxidative stress in RRMS lesion formation and brain atrophy.