中华神经医学杂志
中華神經醫學雜誌
중화신경의학잡지
Chinese Journal of Neuromedicine
2015年
9期
927-931
,共5页
王娟%蔡文智%王静新%张晓梅%潘速跃
王娟%蔡文智%王靜新%張曉梅%潘速躍
왕연%채문지%왕정신%장효매%반속약
脑卒中%预后%危险因素
腦卒中%預後%危險因素
뇌졸중%예후%위험인소
Stroke%Prognosis%Risk factor
目的 探讨影响急性脑卒后患者预后的因素.方法 选取广州市5家三级甲等医院神经内科自2014年5月至2014年8月收治的551例急性脑卒中(脑梗死或脑出血)患者,收集患者的临床资料并随访发病后3个月的预后情况,Logistic回归分析影响脑卒中患者预后的因素.结果 本组患者预后良好311例(56.4%),预后不良240例(43.6%).预后良好组、预后不良组患者的年龄、文化程度、照顾者、体温、美国国立卫生研究院卒中量表评分(NIHSS)和日常生活活动能力量表(BI)评分、在院时间、卒中次数、吞咽困难、尿失禁、冠心病、吸烟者比例、总胆固醇(TC)水平不同,差异有统计学意义(P<0.05),Logistic回归分析显示影响脑卒中预后的独立危险因素为年龄、体温、NIHSS和BI评分、在院时间、脑卒中次数、尿失禁.结论 年龄≥60岁、体温>37℃、NIHSS评分高、日常生活不能自理、在院时间长、多次脑卒中以及脑卒中后尿失禁的脑卒中患者预后不良,应有针对性的早期开展科学干预,以提高患者生存质量.
目的 探討影響急性腦卒後患者預後的因素.方法 選取廣州市5傢三級甲等醫院神經內科自2014年5月至2014年8月收治的551例急性腦卒中(腦梗死或腦齣血)患者,收集患者的臨床資料併隨訪髮病後3箇月的預後情況,Logistic迴歸分析影響腦卒中患者預後的因素.結果 本組患者預後良好311例(56.4%),預後不良240例(43.6%).預後良好組、預後不良組患者的年齡、文化程度、照顧者、體溫、美國國立衛生研究院卒中量錶評分(NIHSS)和日常生活活動能力量錶(BI)評分、在院時間、卒中次數、吞嚥睏難、尿失禁、冠心病、吸煙者比例、總膽固醇(TC)水平不同,差異有統計學意義(P<0.05),Logistic迴歸分析顯示影響腦卒中預後的獨立危險因素為年齡、體溫、NIHSS和BI評分、在院時間、腦卒中次數、尿失禁.結論 年齡≥60歲、體溫>37℃、NIHSS評分高、日常生活不能自理、在院時間長、多次腦卒中以及腦卒中後尿失禁的腦卒中患者預後不良,應有針對性的早期開展科學榦預,以提高患者生存質量.
목적 탐토영향급성뇌졸후환자예후적인소.방법 선취엄주시5가삼급갑등의원신경내과자2014년5월지2014년8월수치적551례급성뇌졸중(뇌경사혹뇌출혈)환자,수집환자적림상자료병수방발병후3개월적예후정황,Logistic회귀분석영향뇌졸중환자예후적인소.결과 본조환자예후량호311례(56.4%),예후불량240례(43.6%).예후량호조、예후불량조환자적년령、문화정도、조고자、체온、미국국립위생연구원졸중량표평분(NIHSS)화일상생활활동능역량표(BI)평분、재원시간、졸중차수、탄인곤난、뇨실금、관심병、흡연자비례、총담고순(TC)수평불동,차이유통계학의의(P<0.05),Logistic회귀분석현시영향뇌졸중예후적독립위험인소위년령、체온、NIHSS화BI평분、재원시간、뇌졸중차수、뇨실금.결론 년령≥60세、체온>37℃、NIHSS평분고、일상생활불능자리、재원시간장、다차뇌졸중이급뇌졸중후뇨실금적뇌졸중환자예후불량,응유침대성적조기개전과학간예,이제고환자생존질량.
Objective To analyze the risk factors associated with prognosis of stroke patients.Methods A total of 551 stroke patients from 5 third class A hospital in Guangzhou from May 2014 to August 2014,were recruited.The clinical data and prognosis 3 months after follow up of these patients were collected and Logistic regression analysis was used to analyze the influencing factors of stroke prognosis.Results Good prognosis was noted in 311 patients (56.4%) and bad one was noted in 240 patients (43.6%);age,education degree,watcher,temperature,NIHSS and Barthel index (BI) scores,hospital stays,stroke frequency,dysphagia,urinary incontinence,coronary heart disease,smoking history and total cholesterol levels between patients with good or bad prognosis were significantly different (P< 0.05).Logistic regression analysis showed that major factors for stroke prognosis included age,temperature,NIHSS and BI scores,hospital stays,stroke frequency and urinary incontinence.Conclusions Patients with age≥60 years,temperature>37 ℃,high NIHSS scores,serious defects of activities of daily living,long hospital stays,recurrent stroke,post-stroke urinary incontinence trend to have poor prognosis,therefore,these patients should be targeted to plan intervention program to improve the life quality.