With the wide application of phacoemulsification and intraocular lens implantation, many cataract patients have effectively recovered vision. Postoperative intraocular lens opacification is an important indicator for evaluating biocompatibility, as it affects the visual quality of patients. The manifestation and risk factors of opacification vary among different materials used for intraocular lenses. However, better visual quality after surgery is not determined by a single factor. The material of the intraocular lens and the patient's response to the intraocular lens are all factors that affect the postoperative visual quality. With the continuous advancement of technology, an increasing number of new materials are being applied in the field of intraocular lenses. Fully understanding the characteristics of intraocular lens materials, selecting suitable intraocular lens for patients and reducing complications caused by materials will be beneficial to patients. The characteristics of different intraocular lens materials and the risk factors of opacification after intraocular lens implantation were discussed in this paper.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective:To analyze the genetic and clinical characteristics, treatment and prognosis of patients diagnosed with maturity onset of diabetes of the young (MODY) 12 subtype.Methods:This retrospective study collected and analyzed data from 5 children with MODY12 subtype caused by ABCC8 gene variants who underwent inpatient and outpatient genetic testing at Beijing Children′s Hospital from January 2016 to December 2023. Their clinical and genetic features, treatment, and follow-up results were analyzed.Results:Among the 5 patients with MODY12 subtype, 4 were male and 1 was female, with an age of 13.4 (5.5, 14.6) years. Four of the patients were born large for gestational age, while one was born small for gestational age. Two patients were overweight or obese. Three patients exhibited typical symptoms of diabetes, while 2 were incidentally found to have elevated blood glucose level. One patient was found to have diabetic ketoacidosis at onset, who was diagnosed with congenital hyperinsulinism during the neonatal period and received diazoxide treatment, and experienced intellectual developmental delay. All 5 patients had autosomal dominant inherited diabetes within 3 generations. The fasting blood glucose at onset was 7.5 (6.5, 10.0) mmol/L, the haemoglobin A1c (HbA1c) was 11.8% (7.5%, 13.5%), and the fasting C-peptide was 1.2 (1.1, 2.2) μg/L. The duration of follow-up was 15 (9, 32) months. One patient underwent lifestyle intervention, 2 received metformin orally, 1 received insulin therapy, and the other received subcutaneous injection of insulin combined with sulfonylurea orally. At the last follow-up, the median fasting blood glucose was 6.1 (5.1, 7.0) mmol/L, the HbA1c was 5.9% (5.7%, 7.1%), and the fasting C-peptide was 1.7 (0.9, 2.9) μg/L. One patient developed diabetic retinopathy. There were 4 missense variations in ABCC8 gene and one in-frame deletion, all of which were maternally inherited heterozygotes.Conclusions:MODY12 subtype is a heterogeneous disorder with the age of onset from infancy to adolescence. It can present as mild hyperglycemia or diabetic ketoacidosis, and has a high incidence of obesity. Definitive diagnosis can be achieved through genetic test, and individualized treatment is recommended based on glucose levels.

Objective:To explore the application value of contrast-enhanced ultrasound (CEUS) combined with transvaginal ultrasound features and quantitative parameters in evaluating high-risk endometrial cancer (EC).Methods:Retrospective analysis was made on 69 EC patients who received CEUS examination and were confirmed by surgery and pathology in Beijing Shijitan Hospital, Capital Medical University from December 2017 to September 2022. According to postoperative pathology, the patients were divided into low-risk group ( n=38) and high-risk group ( n=31). The differences in CEUS, transvaginal ultrasound features and quantitative parameters between the two groups were compared, relevant parameters that with predictive value for high-risk EC were screened, and these parameters were scored. Results:①There were differences in lesion size (thick diameter, long diameter), vascular morphology, and color blood flow score between high and low risk ECs (all P<0.05). ②There were differences in CEUS parameters [perfusion mode, enhancement intensity, area under curve(AUC)] between high and low risk EC groups (all P<0.05). ③The areas under the ROC curve for diagnosing high-risk EC were 0.79, 0.69, 0.69, and 0.62, respectively, based on the critical values of lesion thickness diameter ≥1.85 cm, lesion length diameter ≥2.05 cm, ultrasound contrast quantification parameter AUC ≥859 au, and enhancement intensity ≥29.4 dB. ④Using statistically significant parameters for scoring, the sensitivity and specificity for diagnosing high-risk EC with the score ≥5, were 70.97% and 89.47%, respectively. Conclusions:The combination of CEUS and transvaginal ultrasound is a feasible method for predicting high-risk EC. CEUS parameters (enhanced intensity, AUC, and " focal" perfusion mode) are related to high-risk EC. The combination of CEUS and transvaginal ultrasound helps to pre-evaluate the pathological prognostic factors of endometrial malignant lesions before surgery, providing a basis for clinical follow-up treatment.