中国康复理论与实践
中國康複理論與實踐
중국강복이론여실천
CHINESE JOURNAL OF REHABILITATION THEORY & PRACTICE
2014年
10期
967-970
,共4页
脑卒中%肺炎%鼻饲%吞咽障碍%危险因素
腦卒中%肺炎%鼻飼%吞嚥障礙%危險因素
뇌졸중%폐염%비사%탄인장애%위험인소
stroke%pneumonia%nasal feeding%dysphagia%risk factors
目的：探讨卒中相关性肺炎(SAP)的相关危险因素。方法回顾性分析159例脑卒中患者，根据有无发生SAP将其分为SAP组(n=35)和非SAP(n=124)组。对比两组患者的年龄、性别、高血压、糖尿病、胃黏膜保护剂、脑卒中后吞咽困难(DAS)、卒中史、卒中类型、低蛋白血症、意识障碍、鼻饲、吸烟等临床资料，用单因素分析和多因素Logistic回归分析SAP的相关危险因素。结果159例脑卒中患者SAP发生率为22.0%。单因素分析结果显示，年龄≥70岁(P<0.01)、胃黏膜保护剂(P<0.01)、DAS(P<0.01)、低蛋白血症(P<0.05)、意识障碍(P<0.05)、鼻饲(P<0.001)，吸烟(P<0.01)均与SAP发生有关。二分类Logistic回归分析显示，年龄≥70岁、DAS、鼻饲、吸烟是SAP发病的危险因素。控制其他因素，鼻饲饮食患者发生SAP风险最高，是非鼻饲患者的5.119倍。结论 SAP的发病率高，是多因素共同作用的结果，鼻饲饮食患者发生SAP的可能性最高。
目的：探討卒中相關性肺炎(SAP)的相關危險因素。方法迴顧性分析159例腦卒中患者，根據有無髮生SAP將其分為SAP組(n=35)和非SAP(n=124)組。對比兩組患者的年齡、性彆、高血壓、糖尿病、胃黏膜保護劑、腦卒中後吞嚥睏難(DAS)、卒中史、卒中類型、低蛋白血癥、意識障礙、鼻飼、吸煙等臨床資料，用單因素分析和多因素Logistic迴歸分析SAP的相關危險因素。結果159例腦卒中患者SAP髮生率為22.0%。單因素分析結果顯示，年齡≥70歲(P<0.01)、胃黏膜保護劑(P<0.01)、DAS(P<0.01)、低蛋白血癥(P<0.05)、意識障礙(P<0.05)、鼻飼(P<0.001)，吸煙(P<0.01)均與SAP髮生有關。二分類Logistic迴歸分析顯示，年齡≥70歲、DAS、鼻飼、吸煙是SAP髮病的危險因素。控製其他因素，鼻飼飲食患者髮生SAP風險最高，是非鼻飼患者的5.119倍。結論 SAP的髮病率高，是多因素共同作用的結果，鼻飼飲食患者髮生SAP的可能性最高。
목적：탐토졸중상관성폐염(SAP)적상관위험인소。방법회고성분석159례뇌졸중환자，근거유무발생SAP장기분위SAP조(n=35)화비SAP(n=124)조。대비량조환자적년령、성별、고혈압、당뇨병、위점막보호제、뇌졸중후탄인곤난(DAS)、졸중사、졸중류형、저단백혈증、의식장애、비사、흡연등림상자료，용단인소분석화다인소Logistic회귀분석SAP적상관위험인소。결과159례뇌졸중환자SAP발생솔위22.0%。단인소분석결과현시，년령≥70세(P<0.01)、위점막보호제(P<0.01)、DAS(P<0.01)、저단백혈증(P<0.05)、의식장애(P<0.05)、비사(P<0.001)，흡연(P<0.01)균여SAP발생유관。이분류Logistic회귀분석현시，년령≥70세、DAS、비사、흡연시SAP발병적위험인소。공제기타인소，비사음식환자발생SAP풍험최고，시비비사환자적5.119배。결론 SAP적발병솔고，시다인소공동작용적결과，비사음식환자발생SAP적가능성최고。
Objective To explore the risk factors of stroke-associated pneumonia (SAP) in stroke patients. Methods A retrospective study was designed to analyze the clinical data of 159 patients with stroke. They were divided into SAP group (n=35) and non-SAP group (n=124). Their age, gender, hypertension, diabetes mellitus, gastric mucosal protective agents, dysphagia after stroke (DAS), stroke history, type of stroke, hypoproteinemia, disturbance of consciousness, nasal feeding and smoking were analyzed with univariate analysis and multi-variate Logistic regression analysis. Results 22%of the 159 patients suffered from SAP. Univariate analysis showed, there was statistical dif-ference in age (P<0.01), gastric mucosal protective agents (P<0.01), DAS (P<0.01), hypoalbuminemia (P<0.05), disturbance of conscious-ness (P<0.05), nasal feeding (P<0.001) and smoking (P<0.01) between two groups. Binary Logistic regression for the multivariate analysis indicated that age≥70 years old, DAS, nasal feeding and smoking were the risk factors related with SAP. After adjusting for all other vari-ables, the odds of SAP were 5.119 times higher for patients requiring nasal feeding than those without nasal feeding. Conclusion There is a high morbidity for SAP, which is attributed to multiple factors. Age≥70, DAS, nasal feeding and smoking may be the most important risk factors related with SAP.
