Nomogram model for decompressing craniectomy after mechanical thrombectomy in patients with acute ischemic stroke.

The most common treatment method for patients with acute ischemic stroke with large vessel occlusion is mechanical thrombectomy. However, complications such as cerebral edema and hemorrhage transformation after MT can affect patient prognoses, while decompression craniectomy considerably improves patient prognoses. The aim of this study was to identify clinical indicators, such as the neutrophil/high-density lipoprotein cholesterol ratio, to predict DC. A retrospective analysis was conducted in AIS-LVO patients who received MT at Huizhou Central People's Hospital and the Affiliated Hospital of Guilin Medical University. The patients were randomly divided into training, internal validation group and external validation group sets to generate and validate a nomogram model. Multivariate binary logistic analyses indicated that SBP > 178.5 mmHg, WBC > 12.05*10/L, PT > 14.54 s, and NHR > 8.874*10/mmol were independent risk factors for DC after MT in patients with AIS-LVO. In the training set, the area under the curve indicated good accuracy. Calibration curve results showed the average error in the training set was 0.038, and 0.036 in the validation set, showing good model fit. NHR was an independent risk factor for DC treatment after MT in AIS-LVO patients. A nomogram based on NHR accurately predicted if DC treatment was required after MT in patients with AIS-LVO.