目的探讨显微外科手术治疗重症高血压性脑桥出血[出血量>5 mL、格拉斯哥昏迷评分(Glasgow Coma Scale,GCS)3~4分]的效果。方法回顾性分析2016年1月—2021年5月临沂市中医医院脑血管病中心内科保守治疗的重症高血压性脑桥出血患者[出...目的探讨显微外科手术治疗重症高血压性脑桥出血[出血量>5 mL、格拉斯哥昏迷评分(Glasgow Coma Scale,GCS)3~4分]的效果。方法回顾性分析2016年1月—2021年5月临沂市中医医院脑血管病中心内科保守治疗的重症高血压性脑桥出血患者[出血量(8.35±1.64)mL,GCS评分3~4分]共19例为内科治疗组;同期行CT定位血肿腔穿刺的18例重症高血压性脑桥出血患者[出血量(9.09±1.43)mL,GCS评分3~4分]为穿刺治疗组;同期显微外科手术治疗的21例重症高血压性脑桥出血患者[出血量(8.79±1.35)mL、GCS评分3~4分]为手术治疗组。按格拉斯哥预后评分(Glasgow Outcome Scale,GOS)评估预后,比较3组患者1、3个月存活患者例数。结果内科治疗组患者1个月时按GOS评分重残和植物状态生存10例,死亡9例;3个月时按GOS评分重残和植物状态生存8例,死亡2例。穿刺治疗组患者术后1月时按GOS评分重残和植物状态生存12例,死亡6例;术后3月时按GOS评分重残和植物状态生存11例,死亡1例。手术治疗组患者术中无死亡病例,术后患者自主呼吸均逐渐恢复,术后2周未出现多器官功能衰竭及电解质紊乱,2周时无死亡病例,术后1个月时按GOS评分:重残和植物状态生存20例,死亡1例;术后3个月时按GOS评分:重残和植物状态生存18例,死亡2例。1、3个月时比较内科治疗组、穿刺治疗组和手术治疗组存活患者,差异有统计学意义(χ^(2)=9.496、8.294,P<0.05)。结论对重症脑桥出血患者早期行显微外科手术治疗是简便、安全、有效的治疗方法,配合规范化神经外科重症管理,与穿刺治疗和内科治疗相比可以明显降低患者病死率。展开更多
BACKGROUND Postoperative delirium,particularly prevalent in elderly patients after abdominal cancer surgery,presents significant challenges in clinical management.AIM To develop a synthetic minority oversampling techn...BACKGROUND Postoperative delirium,particularly prevalent in elderly patients after abdominal cancer surgery,presents significant challenges in clinical management.AIM To develop a synthetic minority oversampling technique(SMOTE)-based model for predicting postoperative delirium in elderly abdominal cancer patients.METHODS In this retrospective cohort study,we analyzed data from 611 elderly patients who underwent abdominal malignant tumor surgery at our hospital between September 2020 and October 2022.The incidence of postoperative delirium was recorded for 7 d post-surgery.Patients were divided into delirium and non-delirium groups based on the occurrence of postoperative delirium or not.A multivariate logistic regression model was used to identify risk factors and develop a predictive model for postoperative delirium.The SMOTE technique was applied to enhance the model by oversampling the delirium cases.The model’s predictive accuracy was then validated.RESULTS In our study involving 611 elderly patients with abdominal malignant tumors,multivariate logistic regression analysis identified significant risk factors for postoperative delirium.These included the Charlson comorbidity index,American Society of Anesthesiologists classification,history of cerebrovascular disease,surgical duration,perioperative blood transfusion,and postoperative pain score.The incidence rate of postoperative delirium in our study was 22.91%.The original predictive model(P1)exhibited an area under the receiver operating characteristic curve of 0.862.In comparison,the SMOTE-based logistic early warning model(P2),which utilized the SMOTE oversampling algorithm,showed a slightly lower but comparable area under the curve of 0.856,suggesting no significant difference in performance between the two predictive approaches.CONCLUSION This study confirms that the SMOTE-enhanced predictive model for postoperative delirium in elderly abdominal tumor patients shows performance equivalent to that of traditional methods,effectively addressing data imbalance.展开更多
基金Supported by Discipline Advancement Program of Shanghai Fourth People’s Hospital,No.SY-XKZT-2020-2013.
文摘BACKGROUND Postoperative delirium,particularly prevalent in elderly patients after abdominal cancer surgery,presents significant challenges in clinical management.AIM To develop a synthetic minority oversampling technique(SMOTE)-based model for predicting postoperative delirium in elderly abdominal cancer patients.METHODS In this retrospective cohort study,we analyzed data from 611 elderly patients who underwent abdominal malignant tumor surgery at our hospital between September 2020 and October 2022.The incidence of postoperative delirium was recorded for 7 d post-surgery.Patients were divided into delirium and non-delirium groups based on the occurrence of postoperative delirium or not.A multivariate logistic regression model was used to identify risk factors and develop a predictive model for postoperative delirium.The SMOTE technique was applied to enhance the model by oversampling the delirium cases.The model’s predictive accuracy was then validated.RESULTS In our study involving 611 elderly patients with abdominal malignant tumors,multivariate logistic regression analysis identified significant risk factors for postoperative delirium.These included the Charlson comorbidity index,American Society of Anesthesiologists classification,history of cerebrovascular disease,surgical duration,perioperative blood transfusion,and postoperative pain score.The incidence rate of postoperative delirium in our study was 22.91%.The original predictive model(P1)exhibited an area under the receiver operating characteristic curve of 0.862.In comparison,the SMOTE-based logistic early warning model(P2),which utilized the SMOTE oversampling algorithm,showed a slightly lower but comparable area under the curve of 0.856,suggesting no significant difference in performance between the two predictive approaches.CONCLUSION This study confirms that the SMOTE-enhanced predictive model for postoperative delirium in elderly abdominal tumor patients shows performance equivalent to that of traditional methods,effectively addressing data imbalance.
