With the advent of the refractive era of cataract surgery, postoperative residual refractive error has become a key factor affecting visual quality. The accuracy of intraocular lens(IOL)power calculation is affected by multiple factors, including ocular biological parameters, calculation formulas, and lens constants. Currently, the lens constants widely used in clinical practice are mostly based on Western populations, which have a mismatch with the ocular characteristics of the Chinese population, such as shorter axial length and steeper cornea. Therefore, the personalized optimization of the constant has become a research hotspot. This review primarily summarizes the research progress on lens constant optimization in improving the accuracy of IOL power calculation. Currently, there is no consensus on lens constant optimization methods. Single-constant formulas can be optimized through iterative methods, while multi-constant formulas require the combination of linear or nonlinear strategies. Simplified gradient descent and data-driven techniques offer new optimization pathways, but cross-validation is needed to evaluate their performance. Segmented optimization based on axial length, corneal curvature, and anterior chamber depth has shown significant effectiveness in patients with special anatomical structures, effectively reducing postoperative refractive errors in different patient groups, but limitations remain in some extreme cases. The interaction of multiple parameters significantly impacts the predictive accuracy of complex cases. While new-generation formulas integrating multiple parameters or incorporating AI algorithms have improved accuracy, constant optimization still holds value. Currently, the complex relationships between multiple parameters and intraoperative dynamic changes require further in-depth research. Future research, including targeted population optimization studies, the development of real-time monitoring technologies, and innovative IOL designs, may make achieving zero postoperative refractive error a possibility.

Objective The effects of stachydrine(STA)on the proliferation,apoptosis and radiosensitivity of acute myeloid leukemia(AML)cells by regulating the transcription factor forkhead box protein O3(FOXO3)-forkhead box protein M1(FOXM1)signaling axis.Methods Human AML cells(HL-60)were treated with STA at a concentration of 50～1 600 μmol/L,and the activity of HL-60 cells was detected using the cell counting kit-8(CCK-8)method to screen for the optimal drug concentration;HL-60 cells were separated into Control group,low,medium,and high concentration STA groups(STA-L group,STA-M group,STA-H group),STA+lentivirus transfection control group(STA-H+LV-NC group),and high-concentration STA+FOXO3 overexpression lentiviral group(STA-H+LV-FOXO3 group).5-ethyny1-2'-deoxyuridine(Edu)was applied to detect HL-60 cell proliferation;flow cytometry(FCM)was applied to detect cell apoptosis;cell cloning experiments were applied to detect the radiotherapy sensitivity of cells;Western blot was applied to detect the expression of cell proliferation antigen markers(Ki67),Cyclin D1,Caspase-3,B-cell lymphoma2 assaciated X protein(Bax),FOXO3,and FOXM1 proteins.Results STA concentrations of 100,200 and 400 μmol/L were selected for subsequent experiments.Compared with the control group,the positive rate of Ki67,Cyclin D1,Edu,FOXO3 and FOXM1 expression levels in the STA-L,STA-M,and STA-H groups decreased sequentially(tSTA-L=2.169～5.879,tSTA-M=3.089～11.284,tSTA-H=4.572～11.502),Caspase-3 and Bax expression levels,the apoptosis rate,increased sequentially(tSTA-L=9.171,10.082,20.144;tSTA-M=5.435,7.530,7.450;tSTA-H=4.138,4.159,5.956)and the differences were statistically significant(all P<0.05),respectively.Compared with the STA-H+LV-NC group,the positive rate of Edu and the expression levels of Ki67,Cyclin D1,FOXO3 and FOXM1 were obviously increased in the STA-H+LV-FOXO3 group(t=10.055～16.267),Caspase-3 and Bax expression levels,the apoptosis rate were obviously reduced(t=5.736,5.433,8.933),and the differences were statistically significant(all P<0.05),respectively.The colony formation rate of HL-60 cells in the radiotherapy group and STA+radiotherapy group decreased with the increase of radiotherapy dose,and the differences were statistically significant(F=78.630,137.843,all P<0.05),and the colony formation rate of HL-60 cells in the STA+radiotherapy group was lower than that in the radiotherapy group at the same dose(t=1.480～11.301,all P<0.05).Conclusion Stachydrine inhibits AML cell proliferation,induces apoptosis,and enhances radiotherapy sensitivity by inhibiting the FOXO3-FOXM1 signaling axis.

Objective:To construct a risk prediction model for early post-injury respiratory failure in patients with traumatic cervical spinal cord injury (TCSCI) and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 393 TCSCI patients admitted to Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2020 to October 2024, including 294 males and 99 females, aged 18-82 years [59(45, 72)years]. Among them, 76 patients had respiratory failure (19.3%). The patients were randomly divided into the training set ( n=275) and validation set ( n=118) at a ratio of 7∶3. According to the presence of respiratory failure within one week after admission, 275 patients in the training set were divided into respiratory failure group ( n=53) and non-respiratory failure group ( n=222). The demographic data, injury characteristics, laboratory test results, and imaging findings of the patients were collected. Risk factors were determined through univariate analysis and multivariate Logistic regression analysis and a nomogram prediction model was constructed. The area under the receiver operating characteristic (ROC) curve (AUC) and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model. Decision curve analysis (DCA) was plotted to evaluate the clinical effectiveness of the prediction model. Results:The results of the univariate analysis showed that there were significant differences in history of respiratory diseases, causes of injury, Glasgow coma scale (GCS), American Spinal Injury Association (ASIA) classification, ASIA-motor score (AMS), injury severity score (ISS), clinical pulmonary infection score (CPIS), hypoproteinemia and cervical vertebra fracture and dislocation between the respiratory failure group and non-respiratory failure group in the training set ( P<0.05). The results of multivariate Logistic regression analysis indicated that GCS, ASIA classification, CPIS, and hypoproteinemia were independent risk factors for early post-injury respiratory failure in TCSCI patients ( P<0.05). Based on the above four variables, a Logistic regression equation was constructed: Logit( P)=2.361-0.675×ASIA classification+0.419×CPIS-0.358×GCS+0.854×hypoproteinemia. In the prediction model established based on this equation, the AUC was 0.96 (95% CI 0.94, 0.99) in the training set and 0.89 (95% CI 0.82, 0.96) in the validation set. In the calibration curves of the training set and validation set, the prediction curve and reference curve were approximately overlapping, with the average absolute errors of 0.04 and 0.03. DCA results demonstrated that both the training and validation sets exhibited positive net benefits when threshold probabilities fell within ranges of 0%-78% and 0%-87%, respectively. Conclusion:The risk prediction model for early post-injury respiratory failure in TCSCI patients based on GCS, ASIA classification, CPIS and hypoproteinemia has good predictive efficacy and clinical practicability.

Objective To develop a new cardiac rehabilitation exercise program based on the LEARNS health education model for patients undergoing percutaneous coronary intervention(PCI),and to evaluate its effectiveness.Methods A total of 78 inpatients with acute coronary syndrome(ACS)who received PCI between February and May 2024 in a tertiary hospital were enrolled.Using a random number table,participants were assigned to either an intervention group or a control group(n=39 each).The control group received routine health education,while the intervention group received a cardiac rehabilitation exercise program developed based on the LEARNS model.The intervention started during hospitalization and lasted for two weeks.After the intervention,patients'willingness to participate in Phase II cardiac rehabilitation,exercise self-efficacy and exercise behavior,were evaluated.Results All 76 patients completed the study.After the intervention,the intervention group showed significantly higher scores in willingness to participate in rehabilitation(P<0.001)and exercise self-efficacy(P<0.001)compared with the control group.In terms of exercise behaviors,the intervention group also performed better than the control group,with statistically significant differences across related indicators(P<0.05).Conclusion The application of a new PCI postoperative rehabilitation program based on the LEARNS health education model can significantly enhance patients'willingness to participate in Phase II cardiac rehabilitation,improve their exercise self-efficacy and behavior,and effectively promote the implementation and sustainability of cardiac rehabilitation.

Objective:To construct a risk prediction model for early post-injury respiratory failure in patients with traumatic cervical spinal cord injury (TCSCI) and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 393 TCSCI patients admitted to Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2020 to October 2024, including 294 males and 99 females, aged 18-82 years [59(45, 72)years]. Among them, 76 patients had respiratory failure (19.3%). The patients were randomly divided into the training set ( n=275) and validation set ( n=118) at a ratio of 7∶3. According to the presence of respiratory failure within one week after admission, 275 patients in the training set were divided into respiratory failure group ( n=53) and non-respiratory failure group ( n=222). The demographic data, injury characteristics, laboratory test results, and imaging findings of the patients were collected. Risk factors were determined through univariate analysis and multivariate Logistic regression analysis and a nomogram prediction model was constructed. The area under the receiver operating characteristic (ROC) curve (AUC) and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model. Decision curve analysis (DCA) was plotted to evaluate the clinical effectiveness of the prediction model. Results:The results of the univariate analysis showed that there were significant differences in history of respiratory diseases, causes of injury, Glasgow coma scale (GCS), American Spinal Injury Association (ASIA) classification, ASIA-motor score (AMS), injury severity score (ISS), clinical pulmonary infection score (CPIS), hypoproteinemia and cervical vertebra fracture and dislocation between the respiratory failure group and non-respiratory failure group in the training set ( P<0.05). The results of multivariate Logistic regression analysis indicated that GCS, ASIA classification, CPIS, and hypoproteinemia were independent risk factors for early post-injury respiratory failure in TCSCI patients ( P<0.05). Based on the above four variables, a Logistic regression equation was constructed: Logit( P)=2.361-0.675×ASIA classification+0.419×CPIS-0.358×GCS+0.854×hypoproteinemia. In the prediction model established based on this equation, the AUC was 0.96 (95% CI 0.94, 0.99) in the training set and 0.89 (95% CI 0.82, 0.96) in the validation set. In the calibration curves of the training set and validation set, the prediction curve and reference curve were approximately overlapping, with the average absolute errors of 0.04 and 0.03. DCA results demonstrated that both the training and validation sets exhibited positive net benefits when threshold probabilities fell within ranges of 0%-78% and 0%-87%, respectively. Conclusion:The risk prediction model for early post-injury respiratory failure in TCSCI patients based on GCS, ASIA classification, CPIS and hypoproteinemia has good predictive efficacy and clinical practicability.

Objective The effects of stachydrine(STA)on the proliferation,apoptosis and radiosensitivity of acute myeloid leukemia(AML)cells by regulating the transcription factor forkhead box protein O3(FOXO3)-forkhead box protein M1(FOXM1)signaling axis.Methods Human AML cells(HL-60)were treated with STA at a concentration of 50～1 600 μmol/L,and the activity of HL-60 cells was detected using the cell counting kit-8(CCK-8)method to screen for the optimal drug concentration;HL-60 cells were separated into Control group,low,medium,and high concentration STA groups(STA-L group,STA-M group,STA-H group),STA+lentivirus transfection control group(STA-H+LV-NC group),and high-concentration STA+FOXO3 overexpression lentiviral group(STA-H+LV-FOXO3 group).5-ethyny1-2'-deoxyuridine(Edu)was applied to detect HL-60 cell proliferation;flow cytometry(FCM)was applied to detect cell apoptosis;cell cloning experiments were applied to detect the radiotherapy sensitivity of cells;Western blot was applied to detect the expression of cell proliferation antigen markers(Ki67),Cyclin D1,Caspase-3,B-cell lymphoma2 assaciated X protein(Bax),FOXO3,and FOXM1 proteins.Results STA concentrations of 100,200 and 400 μmol/L were selected for subsequent experiments.Compared with the control group,the positive rate of Ki67,Cyclin D1,Edu,FOXO3 and FOXM1 expression levels in the STA-L,STA-M,and STA-H groups decreased sequentially(tSTA-L=2.169～5.879,tSTA-M=3.089～11.284,tSTA-H=4.572～11.502),Caspase-3 and Bax expression levels,the apoptosis rate,increased sequentially(tSTA-L=9.171,10.082,20.144;tSTA-M=5.435,7.530,7.450;tSTA-H=4.138,4.159,5.956)and the differences were statistically significant(all P<0.05),respectively.Compared with the STA-H+LV-NC group,the positive rate of Edu and the expression levels of Ki67,Cyclin D1,FOXO3 and FOXM1 were obviously increased in the STA-H+LV-FOXO3 group(t=10.055～16.267),Caspase-3 and Bax expression levels,the apoptosis rate were obviously reduced(t=5.736,5.433,8.933),and the differences were statistically significant(all P<0.05),respectively.The colony formation rate of HL-60 cells in the radiotherapy group and STA+radiotherapy group decreased with the increase of radiotherapy dose,and the differences were statistically significant(F=78.630,137.843,all P<0.05),and the colony formation rate of HL-60 cells in the STA+radiotherapy group was lower than that in the radiotherapy group at the same dose(t=1.480～11.301,all P<0.05).Conclusion Stachydrine inhibits AML cell proliferation,induces apoptosis,and enhances radiotherapy sensitivity by inhibiting the FOXO3-FOXM1 signaling axis.

Objective To develop a new cardiac rehabilitation exercise program based on the LEARNS health education model for patients undergoing percutaneous coronary intervention(PCI),and to evaluate its effectiveness.Methods A total of 78 inpatients with acute coronary syndrome(ACS)who received PCI between February and May 2024 in a tertiary hospital were enrolled.Using a random number table,participants were assigned to either an intervention group or a control group(n=39 each).The control group received routine health education,while the intervention group received a cardiac rehabilitation exercise program developed based on the LEARNS model.The intervention started during hospitalization and lasted for two weeks.After the intervention,patients'willingness to participate in Phase II cardiac rehabilitation,exercise self-efficacy and exercise behavior,were evaluated.Results All 76 patients completed the study.After the intervention,the intervention group showed significantly higher scores in willingness to participate in rehabilitation(P<0.001)and exercise self-efficacy(P<0.001)compared with the control group.In terms of exercise behaviors,the intervention group also performed better than the control group,with statistically significant differences across related indicators(P<0.05).Conclusion The application of a new PCI postoperative rehabilitation program based on the LEARNS health education model can significantly enhance patients'willingness to participate in Phase II cardiac rehabilitation,improve their exercise self-efficacy and behavior,and effectively promote the implementation and sustainability of cardiac rehabilitation.

Objective To investigate the diagnostic efficacy and clinical value of GNB4 and Riplet gene methylation alone and in combination in the diagnosis of primary liver cancer.Methods A total of 313 patients were selected,including 78 patients with primary liver cancer,41 patients with other digestive system tumors,17 patients with non-digestive system tumors,20 patients with postoperative liver cancer,and 157 patients with benign liver disea-ses.The levels of GNB4 and Riplet gene methylation in plasma were detected using quantitative methylation-specific PCR(qMSP).Serum alpha-fetoprotein(AFP)levels were measured by direct chemiluminescence.Results The sensitivity and specificity of AFP in diagnosis were 51.3％and 94.3％,respectively;the sensitivity and specificity of GNB4 gene methylation in diagnosis were 83.3％and 99.4％,respectively;the sensitivity and specificity of Riplet gene methylation in diagnosis were 73.1％and 99.4％,respectively.The sensitivity and specificity of GNB4 and Riplet gene methylation combined diagnosis were 92.3％and 98.7％,respectively;the sensitivity and specificity of AFP,GNB4 and Riplet gene methylation combined diagnosis were 92.3％and 98.7％,respectively;the sensitivity and specificity of combined diagnosis including age and gender were 93.6％and 97.5％,respective-ly.Conclusion The sensitivity and specificity of AFP in the diagnosis of primary liver cancer are limited,while the methylation levels of GNB4 and Riplet genes are higher,and the sensitivity and specificity of their combined de-tection are higher than those of AFP.The sensitivity and specificity of AFP,GNB4 and Riplet gene methylation combined diagnosis are significantly higher than those of AFP,GNB4 and Riplet gene methylation alone.

Objective:To explore the risk factors of acute respiratory distress syndrome (ARDS) secondary to severe multiple trauma and the role of clinical guidance.Methods:The clinical data of 115 patients with severe multiple trauma admitted to the trauma center of Zhenjiang First People's Hospital from December 2017 to September 2020 were retrospectively analyzed. According to whether ARDS occurred within 1 week of the disease course, the patients were divided into ARDS group and non-ARDS group. The basic post-traumatic data, initial treatment measures (within 24 hours), pathophysiology, stress metabolism, and post-traumatic complications of the two groups of patients were selected for univariate analysis, the statistically different indicators of univariate analysis were incorporated into the multivariate Logistic regression analysis to screen out independent high-risk factors that affect the occurrence of ARDS in patients with severe multiple trauma, and a receiver operating characteristic curve (ROC curve) was drawn to analyze the effects of each risk factor on the occurrence of ARDS.Results:Among 115 patients, there were 45 casesin the ARDS group and 70 cases in the non-ARDS group. Compared with the non-ARDS group, the patients in the ARDS group were older (years: 57.45±15.37 vs. 45.68±12.70), and the proportion of patients combined with moderate-severe chest trauma, traumatic brain injury (TBI), shock, and massive blood transfusion were higher (71.11% vs. 31.43%, 44.44% vs. 28.57%, 80.00% vs. 67.14%, 46.67% vs. 27.14%). In the ARDS group, procalcitonin [PCT (μg/L):29.73±6.08 vs. 12.45±2.12], thrombomodulin [TM (ng/L): 83.43±16.34 vs. 37.66±14.64], blood glucose (mmol/L:17.2±5.0 vs. 10.3±2.4), triacylglycerol [TG (mmol/L): 3.77±0.57 vs. 2.22±0.63], interleukin-6 [IL-6 (ng/L):38.97±10.79 vs. 25.98±5.40], tumor necrosis factor-α [TNF-α (ng/L): 48.78±13.99 vs. 35.30±13.03], intra-abdominal pressure [mmHg (1 mmHg = 0.133 kPa): 25.21±3.59 vs. 11.98±4.91], serum creatinine [SCr (μmol/L):180.45±42.35 vs. 132.17±49.36] and blood urea nitrogen [BUN (mmol/L): 13.83±4.97 vs. 8.80±4.32] were significantly higher than those in the non-ARDS group; the proportion of patients with crystal infusion volume ≥ 3 000 mL(26.67% vs. 34.29%) and platelet count [PLT (×10 9/L): 72.67±7.96 vs. 127.99±17.65] and the levels of plasma glutathione peroxidase [GSH-Px (kU/L): 87.15±27.81 vs. 161.15±17.94], plasma superoxide dismutase [SOD (kU/L):92.65±32.67 vs. 125.58±38.96] were significantly lower than those in the non-ARDS group, the differences were statistically significant (all P < 0.05). Multivariate Logistic regression analysis showed that 11 indicators such as age, combined moderate-severe chest trauma, combined TBI, massive blood transfusion, PCT, TM, blood glucose, TNF-α, plasma GSH-Px, intra-abdominal pressure and SCr were independent risk factors that could predict ARDS secondary to severe multiple trauma, the odds ratio ( OR) and 95% confidence interval (95% CI) were 1.201 (1.035-1.165), 3.414 (1.217-8.876), 2.889 (1.124-8.109), 3.134 (1.322-9.261), 1.467 (1.096-2.307), 2.428 (0.024-0.973), 5.787 (1.246-9.642), 1.106 (0.949-5.108), 7.450 (1.587-10.261), 3.144 (1.217-8.876), 1.051 (1.002-1.542) respectively, the P valueswere 0.008, 0.024, 0.044, 0.017, 0.018, 0.045, 0.026, 0.037, 0.005, 0.029, 0.033 respectively. ROC curve analysis showed that plasma GSH-Px had a higher predictive value for ARDS secondary to severe multiple trauma, the area underROC curve (AUC) = 0.873, 95% CI was 0.798-0.928, P = 0.000, when the best cut-off value at 72.22 kU/L, its sensitivitywas 86.7%, specificity was 75.7%, positive predictive value was 69.6%, and negative predictive value was 89.8%. The Logistic regression model established by 11 independent high-risk factors had an accuracy rate of 81.74% in predicting ARDS secondary to severe multiple trauma, which had a good guiding significance for predicting ARDS. Conclusion:Our study showed that there are many risk factors for ARDS secondary to severe multiple trauma, involvingbasic post-traumatic data, initial treatment measures, pathophysiology, stress metabolism, post-traumatic complications, etc. Early identification and intervention may be beneficial to improve the success rate of treatment for such patients.

Objective ToinvestigatethevalueofDWIhyperintensityinvenoussinusindiagnosisandrecanalizationpredictionof cerebralvenoussinusthrombosis(CVST).Methods Clinicaland MRIdataof19patientswithCVST wereanalyzedretrospectively. BasedonDWIsignalcharacteristicsoftheCVST,thepatientsweredividedintoasthehyperintensegroupandthenon-hyperintense group.TheintervaltimebetweenthefirstMRIexaminationandtheonset,andtherecanalizationratewithin1 monthand3 months werecomparedbetweenthetwogroups.Results Therewere76 CVSTinthe19patients,withhyperintensein16venoussinus (21%)andin11patients(57.9%).Theintervaltimewaslongerinthehypertensegroupthanthenon-hypertensegroupbutnosta-tisticalsignificance[(12.81±11.10)daysversus(5.70±7.82)days,P=0.165].17patientsunderwentthesecond MRIexamination in1month,andtherecanalizationrateoftheobstructedsinuswaslowerinthehypertensegroupthanthenon-hypertensegroupwith nostatisticalsignificance(P=0.130).14patientsunderwenttheMRIexaminationafter3 months,andtherecanalizationrateofthe obstructedsinuswaslowerinthehypertensegroupthanthenon-hypertensegroupwithstatisticalsignificance(P=0.047).Conclu-sion ThehypertenseonDWIhashighsensitivityforthedetectionofsubacuteCVST.Thepresenceofhypertenseinoccludedsinus onDWIhasthepredictivevalueforvesselrecanalization.