医学临床研究
醫學臨床研究
의학림상연구
JOURNAL OF CLINICAL RESEARCH
2012年
11期
2179-2180
,共2页
李蔚渤%屈引贤%刘英%黄英丽
李蔚渤%屈引賢%劉英%黃英麗
리위발%굴인현%류영%황영려
白质软化病,脑室周围%白蛋白尿
白質軟化病,腦室週圍%白蛋白尿
백질연화병,뇌실주위%백단백뇨
leukomalacia ,periventricular%albuminuria
[目的]探讨老年缺血性脑白质疏松症(LA)与微量白蛋白尿(MAU )的关系.[方法]选择105名男性患者,经头 MRI 检测将患者分为无或轻度 LA 组68例,中重度 LA 组37例.测定患者24 h 尿蛋白排泄率.同时记录患者疾病史,检测胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL‐C)、高密度脂蛋白胆固醇(HDL‐C)、尿酸(UA)、同型半胱氨酸(Hcy)水平.[结果]无或轻度 LA 组 MAU 阳性率为16.1%,中或重度 LA 组 MAU 阳性率为37.8%,两组比较,差异有统计学意义( P <0.01).多因素 logistic 回归分析显示:年龄、高血压、微量白蛋白尿、高同型半胱氨酸血症与脑白质疏松严重程度相关( P <0.05).[结论]微量白蛋白尿是脑白质疏松的独立危险因素,可作为脑白质疏松严重程度的预测指标.
[目的]探討老年缺血性腦白質疏鬆癥(LA)與微量白蛋白尿(MAU )的關繫.[方法]選擇105名男性患者,經頭 MRI 檢測將患者分為無或輕度 LA 組68例,中重度 LA 組37例.測定患者24 h 尿蛋白排洩率.同時記錄患者疾病史,檢測膽固醇(TC)、甘油三酯(TG)、低密度脂蛋白膽固醇(LDL‐C)、高密度脂蛋白膽固醇(HDL‐C)、尿痠(UA)、同型半胱氨痠(Hcy)水平.[結果]無或輕度 LA 組 MAU 暘性率為16.1%,中或重度 LA 組 MAU 暘性率為37.8%,兩組比較,差異有統計學意義( P <0.01).多因素 logistic 迴歸分析顯示:年齡、高血壓、微量白蛋白尿、高同型半胱氨痠血癥與腦白質疏鬆嚴重程度相關( P <0.05).[結論]微量白蛋白尿是腦白質疏鬆的獨立危險因素,可作為腦白質疏鬆嚴重程度的預測指標.
[목적]탐토노년결혈성뇌백질소송증(LA)여미량백단백뇨(MAU )적관계.[방법]선택105명남성환자,경두 MRI 검측장환자분위무혹경도 LA 조68례,중중도 LA 조37례.측정환자24 h 뇨단백배설솔.동시기록환자질병사,검측담고순(TC)、감유삼지(TG)、저밀도지단백담고순(LDL‐C)、고밀도지단백담고순(HDL‐C)、뇨산(UA)、동형반광안산(Hcy)수평.[결과]무혹경도 LA 조 MAU 양성솔위16.1%,중혹중도 LA 조 MAU 양성솔위37.8%,량조비교,차이유통계학의의( P <0.01).다인소 logistic 회귀분석현시:년령、고혈압、미량백단백뇨、고동형반광안산혈증여뇌백질소송엄중정도상관( P <0.05).[결론]미량백단백뇨시뇌백질소송적독립위험인소,가작위뇌백질소송엄중정도적예측지표.
Objective]To explore the relationship between microalbuminuria (MAU ) and ischemic leuko‐araiosis(LA) in elderly patients .[Methods] According to cerebral MRI ,105 male patients were divided into no or mild LA group( n = 68) and moderate to severe LA group( n = 37) .The 24‐hour urine albumin excre‐tion rate of patients was measured .Disease history was recorded .Total cholesterol(TC) ,triglyceride(TG) , low density lipoprotein (LDL‐C) ,high density lipoprotein(HDL‐C) ,uric acid(UA ) and homocysteine(Hcy) were measured .[Results] The positive rate of MAU in no or mild LA group was 16 .1% .The positive rate of MAU in moderate to severe LA group was 37 .8% .There was significant difference in the positive rate of MAU between two groups ( P < 0 .01) .Multivariate logistic regression analysis showed that age ,hyperten‐sion ,MAU and Hcy were associated with the severity of leukoaraiosis .[Conclusion] MAU is an independent risk factor for leukoaraiosis .MAU can be used as the predictive indicator of the severity of leukoaraiosis .