A nomogram based on quantitative EEG to predict the prognosis of nontraumatic coma patients in the neuro-intensive care unit
作者全名：Qin, Ningxiang; Cao, Qingqing; Li, Feng; Wang, Wei; Peng, Xi; Wang, Liang
作者地址：[Qin, Ningxiang; Cao, Qingqing; Li, Feng; Wang, Wei; Wang, Liang] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing, Peoples R China; [Cao, Qingqing] Chongqing Med Univ, Dept Neurol, Bishan Hosp, Chongqing, Peoples R China; [Peng, Xi] Chongqing Med Univ, Affiliated Hosp 2, Dept Neurol, Chongqing, Peoples R China
通信作者：Wang, L (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing, Peoples R China.; Peng, X (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Neurol, Chongqing, Peoples R China.
来源：INTENSIVE AND CRITICAL CARE NURSING
ESI学科分类：CLINICAL MEDICINE
WOS号：WOS:001258320100001
JCR分区：Q1
影响因子：4.9
年份：2024
卷号：83
期号：
开始页：
结束页：
文献类型：Article
关键词：Coma; NICU; QEEG; LASSO; Prognosis
摘要：Objective: We aimed to establish a quantitative electroencephalography-based prognostic prediction model specifically tailored for nontraumatic coma patients to guide clinical work. Methods: This retrospective study included 126 patients with nontraumatic coma admitted to the First Affiliated Hospital of Chongqing Medical University from December 2020 to December 2022. Six in -hospital deaths were excluded. The Glasgow Outcome Scale assessed the prognosis at 3 months after discharge. The least absolute shrinkage and selection operator regression analysis and stepwise regression method were applied to select the most relevant predictors. We developed a predictive model using binary logistic regression and then presented it as a nomogram. We assessed the predictive effectiveness and clinical utility of the model. Results: After excluding six deaths that occurred within the hospital, a total of 120 patients were included in this study. Three predictor variables were identified, including APACHE II score [39.129 (1.4244 -1074.9000)], sleep cycle [OR: 0.006 (0.0002 -0.1808)], and RAV [0.068 (0.0049 -0.9500)]. The prognostic prediction model showed exceptional discriminative ability, with an AUC of 0.939 (95 % CI: 0.899 -0.979). Conclusion: A lack of sleep cycles, smaller relative alpha variants, and higher APACHE II scores were associated with a poor prognosis of nontraumatic coma patients in the neurointensive care unit at 3 months after discharge. Clinical implication: This study presents a novel methodology for the prognostic assessment of nontraumatic coma patients and is anticipated to play a significant role in clinical practice.
基金机构：Joint Medical Research Project of Chongqing Science & Technology and Health Commission [2020FYYX081]; High-Level Medical Reserved Personnel Training Project of Chongqing [2020GDRC019]; Natural Science Foundation of Yuzhong Direct, Chongqing [20190129]
基金资助正文：This work was supported by the Joint Medical Research Project of Chongqing Science & Technology and Health Commission (2020FYYX081), the High-Level Medical Reserved Personnel Training Project of Chongqing (2020GDRC019), and the Natural Science Foundation of Yuzhong Direct, Chongqing (20190129).
