Objective To establish a quantitative and visual prediction model for spontaneous hemorrhagic transformation(sHT)after acute ischemic stroke(AIS)and validate the efficacy by nomogram.Methods A total of 240 patients with AIS were selected,and the general data,serological tests and imaging findings were collected.The patients were randomly divided into modeling group(175 cases)and validation group(65 cases).The patients were also divided into non-HT group and HT group according to the imaging results.The R 4.1.1 software and the rms package were used to build the column line graph model,while Bootstrap method was applied to repeat sampling 1000 times for internal and external validation,and the H-L goodness-of-fit test,clinical decision curve and ROC curve were used to assess the calibration and discrimination of the column line graph model,respectively.Results Among 240 patients with AIS,bleeding conversion occurred in 60 cases(25.0%).In the modeling group,the results of multifactorial Logistic regression showed that the presence or absence of previous history of atrial fibrillation,NIHSS score at the onset,Hb,high-density lipoprotein(HDL)and infarct area were significant influencing factors for sHT after AIS.The x2 values of the H-L goodness-of-fit test for the modeling and validation groups were 5.61 and 0.74,respectively,corresponding to P values of 0.13 and 0.69,indicating that the established column line graph model had good prediction accuracy;the area under the ROC curve for the column line graph prediction modeling group and validation group were 0.963(95%CI:0.926-1.000)and 0.977(95%CI:0.950-1.000),and the results suggested that the model had good discrimination.Conclusions Previous history of atrial fibrillation,NIHSS score size at onset,Hb,HDL and the size of infarct area are independent influencing factors of sHT after AIS.Establishing the visual nomogram model based on the above factors can effectively predict the risk of sHT after AIS.

Closed-loop hospital management can effectivly cope with the COVID-19 pandemic. In order to ensure the continuity of treatments for hemodialysis patients under closed-loop management and minimize possible medical and infection risks, Huashan Hospital affiliated to Fudan University and 9 hospitals in Shanghai established a hemodialysis alliance in January 2021.The alliance optimized hemodialysis resources within the region through overall planning by preparing sites, materials and personnel shifts in advance, and establishing management systems and work processes to ensure that patients could be quickly and orderly diverted to other blood dialysis centers for uninterrupted high-quality hemodialysis services, in case that some hemodialysis centers in the alliance under closed-loop management.From November 2021 to April 2022, 317 of 1 459 hemodialysis patients in the alliance were diverted to other centers for treatment, accumulating 1 215 times/cases of treatments without obvious adverse reactions. The practice could provide a reference for medical institutions to quickly establish mutual support mode under major public health events.