南昌大学学报（医学版）
南昌大學學報（醫學版）
남창대학학보（의학판）
ACTA ACADEMIAE MEDICINAE JIANGXI
2014年
10期
18-21,24
,共5页
大型血小板比率%尿微白蛋白%2 型糖尿病%缺血性脑血管病
大型血小闆比率%尿微白蛋白%2 型糖尿病%缺血性腦血管病
대형혈소판비솔%뇨미백단백%2 형당뇨병%결혈성뇌혈관병
platelet larger cell ratio%urine microalbumin%type 2 diabetes mellitus%ischemic cerebrovascular disease
目的：研究大型血小板比率（P-LCR）、尿微白蛋白（MA）与2型糖尿病（T2DM）患者并发缺血性脑血管病（ICVD）的关系。方法选择83例 T2DM 并发缺血性脑血管病患者为观察组、94例单纯 T2DM 患者为对照组，对2组患者的年龄、性别、血压、血脂、尿酸、血糖、糖化血红蛋白、血小板参数及 MA 等相关因素进行分析比较，对影响 T2DM 患者并发 ICVD 相关因素采用逐步多因素 Logistic 回归分析，建立 Logistic 回归模型。用 ROC 曲线评价Logistic 回归预测模型 P1、P-LCR 联合 MA 预测模型 P2、P-LCR 的预测能力。结果2组 MPV、PDW 及 P-LCR值与 MA 阳性率比较差异均有统计学意义（P ＝0．00）。多因素 Logistic 回归分析显示年龄、P-LCR、MA、收缩压、糖化血红蛋白是 T2DM 患者并发 ICVD 的独立危险因子。Logistic 回归预测模型 P1、P-LCR 联合 MA 预测模型P2、P-LCR 各自 ROC 曲线下面积分别为0．868、0．779、0．704（P ＝0．00）。结论P-LCR、MA 与 T2DM 并发 ICVD有关，对 P-LCR、MA 联合监测及动态监测有助于 T2DM 并发 ICVD 的早期预测。
目的：研究大型血小闆比率（P-LCR）、尿微白蛋白（MA）與2型糖尿病（T2DM）患者併髮缺血性腦血管病（ICVD）的關繫。方法選擇83例 T2DM 併髮缺血性腦血管病患者為觀察組、94例單純 T2DM 患者為對照組，對2組患者的年齡、性彆、血壓、血脂、尿痠、血糖、糖化血紅蛋白、血小闆參數及 MA 等相關因素進行分析比較，對影響 T2DM 患者併髮 ICVD 相關因素採用逐步多因素 Logistic 迴歸分析，建立 Logistic 迴歸模型。用 ROC 麯線評價Logistic 迴歸預測模型 P1、P-LCR 聯閤 MA 預測模型 P2、P-LCR 的預測能力。結果2組 MPV、PDW 及 P-LCR值與 MA 暘性率比較差異均有統計學意義（P ＝0．00）。多因素 Logistic 迴歸分析顯示年齡、P-LCR、MA、收縮壓、糖化血紅蛋白是 T2DM 患者併髮 ICVD 的獨立危險因子。Logistic 迴歸預測模型 P1、P-LCR 聯閤 MA 預測模型P2、P-LCR 各自 ROC 麯線下麵積分彆為0．868、0．779、0．704（P ＝0．00）。結論P-LCR、MA 與 T2DM 併髮 ICVD有關，對 P-LCR、MA 聯閤鑑測及動態鑑測有助于 T2DM 併髮 ICVD 的早期預測。
목적：연구대형혈소판비솔（P-LCR）、뇨미백단백（MA）여2형당뇨병（T2DM）환자병발결혈성뇌혈관병（ICVD）적관계。방법선택83례 T2DM 병발결혈성뇌혈관병환자위관찰조、94례단순 T2DM 환자위대조조，대2조환자적년령、성별、혈압、혈지、뇨산、혈당、당화혈홍단백、혈소판삼수급 MA 등상관인소진행분석비교，대영향 T2DM 환자병발 ICVD 상관인소채용축보다인소 Logistic 회귀분석，건립 Logistic 회귀모형。용 ROC 곡선평개Logistic 회귀예측모형 P1、P-LCR 연합 MA 예측모형 P2、P-LCR 적예측능력。결과2조 MPV、PDW 급 P-LCR치여 MA 양성솔비교차이균유통계학의의（P ＝0．00）。다인소 Logistic 회귀분석현시년령、P-LCR、MA、수축압、당화혈홍단백시 T2DM 환자병발 ICVD 적독립위험인자。Logistic 회귀예측모형 P1、P-LCR 연합 MA 예측모형P2、P-LCR 각자 ROC 곡선하면적분별위0．868、0．779、0．704（P ＝0．00）。결론P-LCR、MA 여 T2DM 병발 ICVD유관，대 P-LCR、MA 연합감측급동태감측유조우 T2DM 병발 ICVD 적조기예측。
Objective To investigate the relationships of platelet larger cell ratio(P-LCR)and urine microalbumin(MA)to type 2 diabetes mellitus(T2DM)complicated by ischemic cerebrovas-cular disease(ICVD).Methods The age,gender,blood pressure,blood lipid,uric acid,blood glu-cose,glycated hemoglobin,platelet parameters and MA were compared between patients with T2DM and ICVD(observation group,n=83)and patients with diabetes mellitus(control group, n=94).Multivariate stepwise logistic regression was performed to analyze ICVD-related factors in patients with T2DM.The predictive ability of ROC of logistic regression prediction model P1, P-LCR combined with MA prediction model P2,and P-LCR was evaluated by ROC curve.Results There were significant differences in MPV,PDW,P-LCR and MA between the two groups(P =0.00).Multivariate logistic regression analysis showed that the age,P-LCR,MA,systolic pressure and glycosylated hemoglobin were the independent risk factors for T2DM complicated by ICVD. The area under ROC curve was 0.868 for logistic regression prediction model P1,0.779 for P-LCR combined with MA prediction model P2,and 0.704 for P-LCR(P =0.00).Conclusion The P-LCR and MA are associated with T2DM complicated by ICVD.The dynamic monitoring of combined P-LCR and MA contributes to the early prediction of T2DM complicated by ICVD.
