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颅内未破裂动脉瘤手术方式对其预后的影响 被引量:1

Influences of Different Surgical Procedures on Prognosis in Patients with Unruptured Intracranial Aneurysms
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摘要 目的探讨颅内未破裂动脉瘤(UIA)患者手术方式的选择,并了解不同手术方式对其预后的影响。方法收集2015年1月至2016年12月111例UIA患者的临床资料,根据手术方式的不同将开颅夹闭手术治疗者归为夹闭组(n=24),血管内介入栓塞治疗者归为介入组(n=87)。分析2组不同临床特征,比较2组GOS评分、住院时间、住院费用。结果 2组患者GOS评分、住院费用比较差异无统计学意义(P>0.05),介入组住院时间少于夹闭组[(10.300±5.023)d比(16.250±6.955)d,P<0.05]。结论手术夹闭治疗和血管内介入治疗对患者近期预后的影响一致,且住院费用相当,介入治疗可明显减少患者住院时间,促进患者康复,改善患者预后。 ObjectiveTo explore the selection of surgical procedures for unruptured intracranial aneurysms(UIA),and to investigate the influences of different surgical procedures on prognosis.MethodsClinical data of111UIA patients treated from January2015to December2016were collected.According to the different surgical methods,these patients were divided into clipping group(n=24)and interventional embolization group(n=87).Clinical characteristics were analyzed,and GOS score,hospital stay and hospitalization costs were compared between the two groups.ResultsThere were no significant differences in GOS score and hospitalization costs between the two groups(P>0.05).However,the length of hospital stay in interventional embolization group was shorter than that in clipping group((10.300±5.023)days vs(16.250±6.955)days,P<0.05).ConclusionSurgical clipping and endovascular intervention have consistent effects on short\|term prognosis and result in equivalent hospitalization costs in patients with UIA.Compared with surgical clipping,interventional therapy can significantly reduce hospital stay,promote rehabilitation and improve prognosis.
作者 郭婷 潘银河 应雪琴 张超 王辉 GUO Ting;PAN Yinhe1;YING Xueqin;ZHANG Chao;WANG Hui(Department of Neurosurgery,the Second Affiliated Hospital of Nanchang University,Nanchang 330006,China;Department of Neurosurgery,Foshan First People’s Hospital,Fushan 528000,China)
出处 《实用临床医学(江西)》 CAS 2017年第11期18-20,38,共4页 Practical Clinical Medicine
基金 江西省科技厅对外科技合作计划(20142BDH80031)
关键词 颅内未破裂动脉瘤 手术夹闭 介入治疗 预后 unruptured intracranial aneurysms surgical clipping interventional therapy prognosis
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