Purpose: The risk factors of chronic kidney disease were analyzed by using the region of interest quantitative technology of color doppler combined with QLab software, and a Nomogram was established to conduct an individualized assessment of patients with chronic kidney disease.Methods: A total of 500 patients with chronic kidney disease diagnosed in our hospital from June 2019 to March 2021 were selected as the chronic kidney disease group, and 300 healthy patients during the same period were selected as the control group. Univariate analysis was performed on the test indexes(Fasting blood glucose, total cholesterol, triglyceride, urea nitrogen , creatinine, uric acid, albumin, red blood cell count, glomerular ltration rate, urinary protein) and the vascularity index, ow index, and vascularization ow index measured by the color doppler region of interest quantitative technique. The above meaningful indicators were included in the Logistics regression analysis to obtain the independent risk factors of early chronic kidney disease. The independent risk factors were imported into R software to draw a nomogram model for predicting early chronic kidney disease and evaluate the model.Results: Single factor analysis results suggest age, hypertension, diabetes, hyperlipidemia, disease of heart head blood-vessel, body mass index, vascularity index, ow index, and vascularization ow index, fasting blood sugar, triglyceride, total cholesterol, urea nitrogen, creatinine, uric acid, glomerular ltration rate differences statistically signi cant (P < 0.05), while gender, renal length to diameter, the thickness of the cortex, Resistance index and peak systolic velocity and albumin difference has no statistical signi cance (P > 0.05). Logistics regression analysis showed that hypertension, diabetes, ow index, and vascularization ow index, urea nitrogen and albumin were independent risk factors for the early occurrence of chronic kidney disease. The C index of this nomogram using independent risk factors is 0.896 (95%CI: 0.862-0.930), which indicates that the nomogram has good discriminant power. The receiver operating curve of the histograph was AUC(area under the curve) 0.884 (95%CI: 0.860-0.908), with the optimal threshold of 0.663, speci city of 88.7%, sensitivity of 78.0%, accuracy of 82.0%, and positive predictive value of 91.9%. The ROC(receiver operator characteristic curve) of urea nitrogen, albumin , ow index, and vascularization ow index were evaluated. The results indicated that the best cutoff value of urea nitrogen was 5.9mmol/L, ow index was 14.67, vascularization ow index was 4.6, and albumin was 40.26g/L. Conclusion: In the prediction of chronic kidney disease I-II stage, the quantitative technique of color Doppler region of interest has certain diagnostic value. The model established in this study has good discriminative power and can be applied to clinical practice, giving certain indicative signi cance.

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Objective: To investigate the effect of body mass index (BMI) on the risk of symptomatic VTE and prosthesis revision after total knee arthroplasty (TKA). Methods: 7182 patients with primary unilateral TKA treated in our hospital from 2011 to 2020 were divided into four groups according to BMI: BMI<25 kg/m2, BMI 25 kg/m2-29.9 kg/m2, BMI 30 kg/m2-34.9 kg/m2 and BMI≥35 kg/m2. Incidence, Odds ratio and Kaplan-Meier survival analysis were used to evaluate the effects of BMI on symptomatic VTE and prosthesis revision risk after TKA.Results: The incidence of VTE after TKA was 8.9‰（64/7182）. There was no significant difference in the incidence of VTE among different BMI groups（P=0.452）. Deep vein thrombosis mainly occurred in the distal lower extremities, especially in intermuscular veins. Revision rate of prosthesis after TKA was 6.4‰（46/7182）. There was no significant difference in revision rate among different BMI groups（P=0.718）.In the univariate analysis of TKA, there was no increased risk of postoperative VTE and prosthesis revision in patients with different obesity categories compared with patients with normal BMI. Kaplan-Meier curve showed that the prosthesis survival rate of patients with BMI≥35 kg/m2 was relatively low, but the difference was not statistically significant.Conclusions: The higher BMI was not associated with the increased risk of symptomatic VTE and prosthesis revision after TKA. When TKA was used for appropriate indications, high BMI should not be considered as a contraindication.

Purpose: The risk factors of chronic kidney disease were analyzed by using the region of interest quantitative technology of color doppler combined with QLab software, and a Nomogram was established to conduct an individualized assessment of patients with chronic kidney disease.Methods: A total of 500 patients with chronic kidney disease diagnosed in our hospital from June 2019 to March 2021 were selected as the chronic kidney disease group, and 300 healthy patients during the same period were selected as the control group. Univariate analysis was performed on the test indexes(Fasting blood glucose, total cholesterol, triglyceride, urea nitrogen , creatinine, uric acid, albumin, red blood cell count, glomerular filtration rate, urinary protein) and the vascularity index, flow index, and vascularization flow index measured by the color doppler region of interest quantitative technique. The above meaningful indicators were included in the Logistics regression analysis to obtain the independent risk factors of early chronic kidney disease. The independent risk factors were imported into R software to draw a nomogram model for predicting early chronic kidney disease and evaluate the model.Results: Single factor analysis results suggest age, hypertension, diabetes, hyperlipidemia, disease of heart head blood-vessel, body mass index, vascularity index, flow index, and vascularization flow index, fasting blood sugar, triglyceride, total cholesterol, urea nitrogen, creatinine, uric acid, glomerular filtration rate differences statistically significant (P < 0.05), while gender, renal length to diameter, the thickness of the cortex, Resistance index and peak systolic velocity and albumin difference has no statistical significance (P > 0.05). Logistics regression analysis showed that hypertension, diabetes, flow index, and vascularization flow index, urea nitrogen and albumin were independent risk factors for the early occurrence of chronic kidney disease. The C index of this nomogram using independent risk factors is 0.896 (95%CI: 0.862-0.930), which indicates that the nomogram has good discriminant power. The receiver operating curve of the histograph was AUC(area under the curve) 0.884 (95%CI: 0.860-0.908), with the optimal threshold of 0.663, specificity of 88.7%, sensitivity of 78.0%, accuracy of 82.0%, and positive predictive value of 91.9%. The ROC(receiver operator characteristic curve) of urea nitrogen, albumin ,flow index, and vascularization flow index were evaluated. The results indicated that the best cutoff value of urea nitrogen was 5.9mmol/L, flow index was 14.67, vascularization flow index was 4.6, and albumin was 40.26g/L. Conclusion: In the prediction of chronic kidney disease I-II stage, the quantitative technique of color Doppler region of interest has certain diagnostic value. The model established in this study has good discriminative power and can be applied to clinical practice, giving certain indicative significance.