Jin Xiao-Qing, Du Xiao-Feng, Yang Ming-Fei, Zhang Qiang
Department of Graduate School, Qinghai University, Xining, Qinghai, China.
Department of Nursing, Qinghai Institute of Health Sciences, Xining, Qinghai, China.
World Neurosurg. 2019 Apr;124:e266-e275. doi: 10.1016/j.wneu.2018.12.081. Epub 2018 Dec 27.
By extracting clinical and computed tomography imaging data of patients with acute subdural hematoma (ASDH), factors that were significantly associated with poor prognosis were screened and a nomogram model was established and validated.
All patients with ASDH who underwent subdural hematoma removal and decompressive craniectomy from January 2014 to March 2018 in Qinghai Provincial People's Hospital were continuously collected. Finally, 124 patients were included in the study. According to the Glasgow Outcome Scale at 3 months after operation, patients were divided into a good prognosis group and a poor prognosis group.
Univariate and binary logistic regression analysis were performed to screen out independent predictors that were significantly associated with poor prognosis of ASDH. On the basis of these factors, a nomogram model was established.
The nomogram model had high accuracy for predicting poor prognosis in patients with ASDH, and it was easy to promote. In the future, large sample and multicenter prospective studies are necessary to complement and identify the results.
通过提取急性硬膜下血肿(ASDH)患者的临床及计算机断层扫描成像数据,筛选出与预后不良显著相关的因素,并建立和验证列线图模型。
连续收集2014年1月至2018年3月在青海省人民医院接受硬膜下血肿清除术及去骨瓣减压术的所有ASDH患者。最终,124例患者纳入研究。根据术后3个月的格拉斯哥预后量表,将患者分为预后良好组和预后不良组。
进行单因素和二元逻辑回归分析,筛选出与ASDH预后不良显著相关的独立预测因素。基于这些因素,建立列线图模型。
列线图模型对预测ASDH患者预后不良具有较高的准确性,且易于推广。未来,有必要进行大样本、多中心前瞻性研究以补充和验证结果。