中国医学创新
中國醫學創新
중국의학창신
Medical Innovation of China
2015年
31期
65-67,68
,共4页
罗运山%邓霞梅%刘易林%李莉
囉運山%鄧霞梅%劉易林%李莉
라운산%산하매%류역림%리리
老年患者%败血症%危险因素
老年患者%敗血癥%危險因素
노년환자%패혈증%위험인소
Elderly patient%Septicemia%Risk factor
目的:探讨老年患者败血症的危险因素,为临床预防提供依据。方法:收集2013年1-12月住本院败血症患者共42例,将其分为老年组28例,对照组14例,回顾性分析其病原菌情况、诱因,并对老年组与对照组进行比较,通过Logistic回归分析影响败血症患者预后危险因素。结果:老年组治愈12例,死亡16例,病死率为57.1%;对照组治愈8例,死亡6例,病死率为42.9%,两组病死率比较,差异无统计学意义。28例老年患者败血症共分离出41株病原菌,以G-菌为主。两组年龄、住院时间、呼吸系统疾病比较,差异有统计学意义(P<0.05),多因素Logistic回归分析显示住院时间是老年组败血症的独立危险因素(P<0.05)。结论:ICU内老年患者败血症预后受住院时间影响,对具备此高危因素的患者需加强监护。
目的:探討老年患者敗血癥的危險因素,為臨床預防提供依據。方法:收集2013年1-12月住本院敗血癥患者共42例,將其分為老年組28例,對照組14例,迴顧性分析其病原菌情況、誘因,併對老年組與對照組進行比較,通過Logistic迴歸分析影響敗血癥患者預後危險因素。結果:老年組治愈12例,死亡16例,病死率為57.1%;對照組治愈8例,死亡6例,病死率為42.9%,兩組病死率比較,差異無統計學意義。28例老年患者敗血癥共分離齣41株病原菌,以G-菌為主。兩組年齡、住院時間、呼吸繫統疾病比較,差異有統計學意義(P<0.05),多因素Logistic迴歸分析顯示住院時間是老年組敗血癥的獨立危險因素(P<0.05)。結論:ICU內老年患者敗血癥預後受住院時間影響,對具備此高危因素的患者需加彊鑑護。
목적:탐토노년환자패혈증적위험인소,위림상예방제공의거。방법:수집2013년1-12월주본원패혈증환자공42례,장기분위노년조28례,대조조14례,회고성분석기병원균정황、유인,병대노년조여대조조진행비교,통과Logistic회귀분석영향패혈증환자예후위험인소。결과:노년조치유12례,사망16례,병사솔위57.1%;대조조치유8례,사망6례,병사솔위42.9%,량조병사솔비교,차이무통계학의의。28례노년환자패혈증공분리출41주병원균,이G-균위주。량조년령、주원시간、호흡계통질병비교,차이유통계학의의(P<0.05),다인소Logistic회귀분석현시주원시간시노년조패혈증적독립위험인소(P<0.05)。결론:ICU내노년환자패혈증예후수주원시간영향,대구비차고위인소적환자수가강감호。
Objective:To investigate the risk factors in elderly patients with sepsis, and provide basis for clinical prevention.Method: From January 2013 to December 2013 in our hospital,42 patients with sepsis were divided into the elderly group for 28 cases and in the control group for 14 cases, the pathogens, incentives were retrospectively analyzed between the two groups. Logistic regression analysis was adopted to analyze the risk factors of prognosis in patients with sepsis.Result: In the elderly group 12 cases were cured, 16 cases died, the mortality rate was 57.1%. In the control group 8 cases were cured, 6 cases died, the mortality rate was 42.9%, mortality rate between the two groups was not statistically significant (P<0.05). 28 elderly patients with sepsis were isolated 41 strains of pathogenic bacteria, G-dominated. Comparison between the two groups age, duration of hospitalization, respiratory diseases were statistically significant (P<0.05), multivariate logistic regression analysis showed that the time of hospitalization was independent risk factor of elderly sepsis group (P<0.05).Conclusion:ICU in elderly patients with septicemia prognostic effect by the hospitalization time, to have the high risk factors of the patients need to strengthen monitoring.