Résumé
Objective:To establish a comprehensive and effective scoring model based on ultrasonic characteristics for predicting the restenosis risk after superficial femoral artery stenting, in order to assess the possibility of in-stent restenosis and to provide guidance for the selection of therapeutic strategies.Methods:A retrospective review of a database of 328 patients (381 limbs) undergoing superficial femoral artery stents in Xuanwu Hospital, Capital Medical University from January 2016 to January 2018 was made as a modeling group.In the modeling cohort, the multivariate logistic regression analysis was performed to screen independent risk factors for in-stent restenosis. A predictive scoring model of restenosis risk was established with weighted score of independent risk factors according to the odd ratio values. Based on the best cut-off value of the receiver operating characteristic (ROC) curves, the scoring table was divided into low-risk and high-risk groups of restenosis.Results:Multivariate logistic regression analysis showed that 8 factors were included in the score system to establish the scoring model of in-stent restenosis risk prediction including calcified plaque, peak systolic velocity of popliteal artery<40 cm/s, runoff scores≥4, ankle-brachial index<0.5, female (1 point each); complicated stroke, complicated chronic renal disease, total lesion length 15.0-24.9 cm (2 points each); total lesion length≥25.0 cm (3 points), a total of 12 points in the model. The validation indicated that the scoring system had good predictive value(AUC=0.775, 95% CI=0.727-0.824, P<0.001) and goodness of fit (Hosmer-Lemeshow χ 2=4.921, P=0.766). The agreement with digital subtraction angiography(DSA) was good (Kappa value=0.609). The scoring system was further divided into the low-risk restenosis (0-5 points) and high-risk restenosis (6-12 points) according to the best cut-off value of 5.5, with a sensitivity of 68.1%, a specificity of 74.6%, and the accuracy of 72.7%. Conclusions:The superficial femoral artery in-stent restenosis risk predicting score model based on ultrasonic characteristics may accurately predict the restenosis preoperatively. It provides a theoretical basis for the precise surgical plans.
Résumé
Objective:To provide a theoretical basis for diagnosing and treating recurrent Kawasaki disease based on data analysis of clinical symptoms.Methods:Data analysis of children with recurrent Kawasaki disease admitted to Beijing Children′s Hospital of Capital Medical University from January 2016 to December 2019 was conducted, including comparisons of the initial onset and the recurrence on patients′ clinical features, auxiliary examination and treatment.Results:During the four-year scale, 3 041 children with Kawasaki disease were admitted to the department of Cardiology.The recurrence data involved 65 children[male∶female 3.1∶1, average aged(2.42 ± 2.04) years]. First, children′s fever duration was(5.66 ± 2.37) days in recurrence data, significantly shorter than that of their initial onset.The recurrence data also reported a lower incidence of rash and limb changes, together with respiratory and gastrointestinal symptoms.Then, 19 cases out of the 65 children got coronary artery lesion(CAL) at their initial onset.A relief of CAL was reported from 15 children when the disease recurred, along with 11 new-reported CAL cases.Intravenous immunoglobulin(IVIG) refractory Kawasaki disease cases accounted for nine at the initial onset and 12 at the recurrent onset, respectively.Five IVIG refractory recurrent cases reported significant relief after 2 g/kg IVIG treatment.Conclusion:The recurrent Kawasaki disease in children usually occurs among children under three years old, within the first year after the initial onset.Most of the recurrent cases report a shorter fever duration and less typical clinical symptoms than their first onset.In some cases, IVIG treatment showed effects initially but failed to work when the disease recurred.Therefore, glucocorticoid or infliximab should be considered for further treatment.