Construction of nomogram prediction model for acute ischemic stroke complicated with cerebral-cardiac syndrome

Objective  To investigate the risk factors of acute ischemic stroke(AIS) complicated with cerebral-cardiac syndrome(CCS), and establish a nomogram model of AIS complicated with CCS.

Methods  A total of 231 patients from 2020 to 2023 were selected as the study subjects.The univariate and multivariate logistic regression analysis was used to screen the risk factors of AIS combined with CCS, and the R software was used to establish and verify the nomogram model of AIS combined with CCS.

Results  Among 231 AIS patients, 84 cases developed CCS, with an incidence of about 36.36%.The results of multivariate logistic regression analysis showed that the low PNI, high NIHSS score, high total cholesterol, diabetes and hypertension were the risk factors of AIS complicated with CCS.The area under ROC curve of AIS complicated with CCS was 0.925(95%CI: 0.883-0.966).The calibration curve showed that the predicted value was in good agreement with the actual value.When the decision curve showed the threshold probability greater than 9%, the net profit value of nomogram predicting AIS complicated with CCS was higher.

Conclusions  Low PNI, high NIHSS score, high total cholesterol, diabetes and hypertension are the risk factors of AIS complicated with CCS, and the AIS complicated with CCS nomogram model has high predictive value.