劉小慧 何浪 吳研
[摘要] 目的 探討老年冠心病(CHD)合并2型糖尿病(T2DM)患者英國(guó)前瞻性糖尿病研究(UKPDS)評(píng)分和平均血小板體積(MPV)變化與冠狀動(dòng)脈狹窄程度的相關(guān)性,為臨床診療提供指導(dǎo)。方法 選擇2017年4月至2020年5月在浙江綠城心血管病醫(yī)院行冠狀動(dòng)脈造影術(shù)的136例CHD合并T2DM患者(年齡>60歲)為研究對(duì)象。根據(jù)Gensini評(píng)分結(jié)果將患者分為高分組(Gensini評(píng)分≥40分)54例和低分組(Gensini評(píng)分<40分)82例。采用UKPDS評(píng)分系統(tǒng)評(píng)估患者10年冠心病風(fēng)險(xiǎn)(CHDRISK),分析比較兩組患者CHDRISK值和MPV情況及其與冠狀動(dòng)脈狹窄程度的相關(guān)性。結(jié)果 兩組患者的年齡、收縮壓、舒張壓、低密度脂蛋白膽固醇(LDL-C)、血清總膽固醇(TC)比較,差異無統(tǒng)計(jì)學(xué)意義(P>0.05);兩組患者的吸煙史、糖尿病病程、空腹血糖(FPG)、高密度脂蛋白固醇(HDL-C)、三酰甘油(TG)、糖化血紅蛋白(HbA1c)比較,差異有統(tǒng)計(jì)學(xué)意義(P<0.05)。高分組患者CHDRISK值和MPV水平均明顯高于低分組,差異有統(tǒng)計(jì)學(xué)意義(P<0.05,P<0.001)。Pearson相關(guān)分析顯示,患者Gensini 評(píng)分與CHDRISK值(r=0.217, P<0.001) 和MPV水平(r=0.336, P<0.001)均呈正相關(guān)。結(jié)論 老年CHD合并T2DM患者UKPDS評(píng)分和MPV變化與冠狀動(dòng)脈狹窄程度密切相關(guān),兩項(xiàng)指標(biāo)的分析檢測(cè)對(duì)CHD合并T2DM患者病情評(píng)估具有一定價(jià)值。
[關(guān)鍵詞] CHD;T2DM;UKPDS;MPV;冠狀動(dòng)脈狹窄
[中圖分類號(hào)] R587.2? ? ? ? ? [文獻(xiàn)標(biāo)識(shí)碼] B? ? ? ? ? [文章編號(hào)] 1673-9701(2022)08-0020-04
Correlation of UKPDS score and MPV changes with the degree of coronary artery stenosis in elderly patients with coronary heart disease complicated with T2DM
LIU Xiaohui1? ?HE Lang1? ?WU Yan2
1.Department of Cardiovascular Medicine, Zhejiang Greentown Cardiovascular Hospital, Hangzhou? ?310000, China;2.Department of Endocrinology, Zhejiang Greentown Cardiovascular Hospital,? Hangzhou? ?310000, China
[Abstract] Objective To investigate the correlation between the changes of the UK prospective diabetes study (UKPDS) score and mean platelet volume (MPV) with the degree of coronary artery stenosis in elderly patients with coronary heart disease (CHD) complicated with type 2 diabetes mellitus (T2DM), so as to provide guidance for clinical diagnosis and treatment. Methods A total of 136 patients (> 60 years old) with CHD complicated with T2DM who underwent coronary angiography in Zhejiang Greentown Cardiovascular Hospital from April 2017 to May 2020 were selected as research objects. According to the results of Gensini score, the patients were divided into the high score group (Gensini score ≥40, n=54) and the low score group (Gensini score < 40, n=82). The 10-year coronary heart disease risk (CHDRISK) was evaluated by the UKPDS scoring system. CHDRISK and MPV were analyzed and compared between the two groups, and their correlation with the degree of coronary artery stenosis was analyzed. Results There were no statistically significant differences in age, systolic blood pressure, diastolic blood pressure, low density lipoprotein cholesterol (LDL-C) and serum total cholesterol (TC) between the two groups (P>0.05), but there were statistically significant differences in smoking history, course of diabetes, fasting blood glucose (FPG), high density lipoprotein sterol (HDL-C), triglyceride (TG) and glycosylated hemoglobin (HbA1c) between the two groups (P<0.05). The CHDRISK value and MPV level of the patients in the high score group were significantly higher than those in the low score group, with statistically significant differences (P<0.05). Pearson correlation analysis showed that the Gensini score was positively correlated with CHDRISK value (r=0.217, P<0.05) and MPV level (r=0.336, P<0.05). Conclusion The changes of UKPDS score and MPV in elderly patients with CHD complicated with T2DM are closely related to the degree of coronary artery stenosis. The analysis and detection of the two indexes has a certain value in evaluating the condition of patients with CHD complicated with T2DM.
[Key words] Coronary heart disease; Type 2 diabetes mellitus; UK prospective diabetes study; Mean platelet volume; Coronary artery stenosis
冠心?。╟oronary heart disease,CHD)是影響公眾健康的一種常見慢性疾病[1-2]。研究發(fā)現(xiàn),糖尿病是引發(fā)CHD的重要危險(xiǎn)因素之一,其中2型糖尿?。╰ype 2 diabetes mellitus, T2DM)因其具有持續(xù)性高血糖、脂代謝異常等特點(diǎn),使其心血管并發(fā)癥發(fā)病率明顯增加[3]。因此,了解合并T2DM的CHD患者臨床特點(diǎn)和病程發(fā)展情況,及時(shí)對(duì)其進(jìn)行藥物和生活方式干預(yù),對(duì)延緩疾病發(fā)展具有重要意義。英國(guó)前瞻性糖尿病研究(United Kingdom prospective diabetes study,UKPDS)是一項(xiàng)針對(duì)糖尿病流行病學(xué)的多中心隨機(jī)對(duì)照研究,用于評(píng)估T2DM患者代謝情況與冠心病、中風(fēng)等并發(fā)癥的關(guān)系,在糖尿病管理和科研領(lǐng)域中應(yīng)用廣泛[4-5]。平均血小板體積(mean platelet volume,MPV)可用于評(píng)價(jià)血小板數(shù)量活性,其活性增大提示血栓形成風(fēng)險(xiǎn)升高,與冠心病發(fā)展進(jìn)展關(guān)系密切[6]?;谝陨媳尘?,本研究對(duì)老年CHD合并T2DM患者UKPDS評(píng)分和MPV變化與冠狀動(dòng)脈狹窄程度的相關(guān)性進(jìn)行探討,現(xiàn)報(bào)道如下。
1資料與方法
1.1一般資料
選擇2017年4月至2020年5月在浙江綠城心血管病醫(yī)院首次行冠狀動(dòng)脈造影術(shù)的CHD合并T2DM患者136例。納入標(biāo)準(zhǔn):(1)CHD診斷符合2010年版《冠狀動(dòng)脈粥樣硬化性心臟病診斷標(biāo)準(zhǔn)》[7]中的相關(guān)標(biāo)準(zhǔn);(2)T2DM診斷標(biāo)準(zhǔn)符合《中國(guó)2型糖尿病防治指南(2013年版)》[8]中的相關(guān)標(biāo)準(zhǔn);(3)年齡60~80歲,臨床資料完整。排除標(biāo)準(zhǔn):(1)合并嚴(yán)重肝、腎、肺等重要器官功能性障礙者;(2)合并自身免疫系統(tǒng)疾病、血液性疾病、呼吸系統(tǒng)疾病及其他系統(tǒng)性疾病者;(3)合并先天性心臟病、心臟瓣膜病、心肌病、心肌炎等心臟疾病者。所有患者均簽署研究方案知情同意書,本研究經(jīng)醫(yī)院醫(yī)學(xué)倫理委員會(huì)批準(zhǔn)。
1.2方法
所有患者均為首次行冠狀動(dòng)脈造影證實(shí)冠狀動(dòng)脈病變情況,選擇穿刺股動(dòng)脈或右側(cè)橈動(dòng)脈,采用Judkins法行冠狀動(dòng)脈造影,對(duì)造影全過程予以記錄。收集所有患者的性別、年齡、吸煙史、糖尿病病程、收縮壓、舒張壓等資料。所有患者空腹8~10 h后于次日清晨采集靜脈血。檢測(cè)空腹血糖(fasting plasma glucose,F(xiàn)PG)、低密度脂蛋白膽固醇(low density lipoprotein-cholesterol,LDL-C)、高密度脂蛋白膽固醇(high density lipoprotein-cholesterol,HDL-C)、總膽固醇(total cholesterol,TC)、三酰甘油(triglyceride,TG)、糖化血紅蛋白(glycosylated hemoglobin,HbA1c)、MPV等指標(biāo),其中采用葡萄糖氧化酶法測(cè)定FPG,采用CAT法測(cè)定LDL-C、HDL-C,采用酶標(biāo)儀比色法測(cè)定TC、TG,采用高壓液相色譜法測(cè)定HbA1c,采用全自動(dòng)血液生化儀檢測(cè)MPV。
1.3觀察指標(biāo)及評(píng)價(jià)標(biāo)準(zhǔn)
分析比較兩組患者UKPDS評(píng)分、MPV變化及其與動(dòng)脈狹窄程度的相關(guān)性。(1)UKPDS評(píng)分。將所有患者的性別、年齡、吸煙史、體質(zhì)量指數(shù)、HbA1c、血壓、血脂、有無心房顫動(dòng)、外周血管病變情況等信息輸入U(xiǎn)KPDS risk engine (version 2.0)軟件,計(jì)算所有研究對(duì)象的10年冠心病風(fēng)險(xiǎn)(CHDRISK)值[9]。模型計(jì)算公式:冠心病概率計(jì)算公式=1.150×t0.150×e(-5.310+0.031×Age-0.471×Female+0.125×HbA1c+0.098×ABP+1.498×(Total:HDL) ,其中Age為診斷為糖尿病的年齡,F(xiàn)emale為性別(女性賦值為1,男性賦值為2),HbA1c為糖化血紅蛋白,Total∶HDL為總膽固醇中高密度脂蛋白比例。基于UKPDS模型循環(huán)理論,采用UKPDS risk engine (version 2.0)軟件計(jì)算風(fēng)險(xiǎn)值。(2)冠狀動(dòng)脈狹窄評(píng)價(jià)。采用Gensini評(píng)分系統(tǒng)對(duì)患者冠狀動(dòng)脈狹窄程度進(jìn)行定量評(píng)價(jià)[10]。根據(jù)Gensini評(píng)分結(jié)果將136例老年CHD合并T2DM患者分為高分組(Gensini評(píng)分≥40分)54例和低分組(Gensini評(píng)分<40分)82例。
1.4統(tǒng)計(jì)學(xué)方法
采用SPSS 20.0統(tǒng)計(jì)學(xué)軟件進(jìn)行數(shù)據(jù)分析,呈正態(tài)分布的計(jì)量資料采用t檢驗(yàn),呈偏態(tài)分布時(shí)采用秩和檢驗(yàn);計(jì)數(shù)資料采用χ2檢驗(yàn);采用多元Spearman相關(guān)分析(UKPDS評(píng)分與MPV的相關(guān)性)和Pearson相關(guān)分析(UKPDS評(píng)分和MPV與Gensini評(píng)分的相關(guān)性)進(jìn)行相關(guān)性分析,P<0.05為差異有統(tǒng)計(jì)學(xué)意義。
2結(jié)果
2.1高分組和低分組患者一般資料比較
兩組患者的年齡、收縮壓、舒張壓、LDL-C、TC比較,差異無統(tǒng)計(jì)學(xué)意義(P>0.05);而兩組患者的吸煙史、糖尿病病程、FPG、HDL-C、TG、HbA1c比較,差異有統(tǒng)計(jì)學(xué)意義(P<0.05,P<0.001)。見表1。
2.2高分組和低分組患者CHDRISK值和MPV水平比較
高分組患者CHDRISK值和MPV水平均明顯高于低分組,差異有統(tǒng)計(jì)學(xué)意義(P<0.05,P<0.001)。見表2。
2.3患者CHDRISK值和MPV水平相關(guān)性及二者與Gensini評(píng)分相關(guān)性分析
Spearman相關(guān)分析顯示,CHDRISK值和MPV水平呈正相關(guān)(P<0.05);Pearson相關(guān)分析顯示,患者Gensini評(píng)分與CHDRISK值和MPV水平均呈正相關(guān)(P<0.001)。見表3。
3 討論
糖尿病是一種影響全身各組織血管和臟器的糖代謝性疾病,其中T2DM最為多見,T2DM患者機(jī)體長(zhǎng)期處于高血糖狀態(tài),極易發(fā)生血管病變,導(dǎo)致血管狹窄、堵塞,影響臟器供血供氧,會(huì)引起缺血性腦卒中、CHD等病變,對(duì)患者生活質(zhì)量造成巨大影響[11-12]。另外,隨著年齡增長(zhǎng),人體細(xì)胞衰老和血管老化速度增快,細(xì)胞衰老會(huì)導(dǎo)致細(xì)胞核和線粒體DNA損傷,細(xì)胞增殖及修復(fù)能力下降,促進(jìn)炎癥發(fā)展;血管老化導(dǎo)致內(nèi)皮細(xì)胞間隙增大,血管內(nèi)的物質(zhì)更容易沉積于內(nèi)膜下,引起血管狹窄、堵塞,誘發(fā)CHD的發(fā)生發(fā)展[13-14]。因此,針對(duì)老年CHD合并T2DM患者的早期預(yù)防尤為重要,運(yùn)用疾病風(fēng)險(xiǎn)預(yù)測(cè)模型,對(duì)疾病發(fā)展進(jìn)行風(fēng)險(xiǎn)評(píng)估,并尋找可以反映病程發(fā)展的相關(guān)指標(biāo),對(duì)患者進(jìn)行早期干預(yù)管理,可有效提高臨床診療的準(zhǔn)確性。
UKPDS評(píng)分系統(tǒng)是基于UKPDS的一個(gè)邏輯架構(gòu),大致可分4個(gè)部分:①統(tǒng)計(jì)患者基本資料。包括年齡、糖尿病病程、吸煙史、體質(zhì)量指數(shù)、HbA1c、血壓、血脂、有無心房顫動(dòng)等;②計(jì)算患者發(fā)生并發(fā)癥和死亡率。以1年作為一個(gè)時(shí)間片段節(jié)點(diǎn)來計(jì)算各類并發(fā)癥和死亡發(fā)生率;③更新患者醫(yī)學(xué)指標(biāo)和并發(fā)癥史。若患者在前一階段內(nèi)未死亡,則對(duì)患者HbA1c、血壓、血脂等變量進(jìn)行更新,再重新進(jìn)行計(jì)算并發(fā)癥和死亡發(fā)生率;④若患者在過程中發(fā)生死亡則停止模擬,并計(jì)算患者并發(fā)癥發(fā)生次數(shù)和發(fā)生率、生存時(shí)間、質(zhì)量調(diào)整生命年等指標(biāo)[15]。有研究顯示,UKPDS評(píng)分系統(tǒng)對(duì)糖尿病患者心腦血管疾病風(fēng)險(xiǎn)評(píng)估具有良好的敏感度,可較為準(zhǔn)確評(píng)估T2DM患者發(fā)生心血管事件風(fēng)險(xiǎn),包括非致死性或致死性CHD、腦卒中等疾病發(fā)生率[16]。利用UKPDS評(píng)分系統(tǒng)計(jì)算CHDRISK值可用于分析患者冠心病發(fā)生率,對(duì)CHDRISK值影響較大的因素主要有HbA1c、HDL、TG等。Johansen等[17]研究發(fā)現(xiàn),當(dāng)機(jī)體血糖紊亂時(shí)會(huì)促進(jìn)肝臟合成極低密度脂蛋白(very low density lipoprotein,VLDL),根據(jù)顆粒大小VLDL又可以分為VLDL1(小顆粒VLDL,懸浮系數(shù)為600~400)和VLDL2(大顆粒VLDL,懸浮系數(shù)為20~60),其中VLDL1與持續(xù)高血糖及胰島素抵抗高度相關(guān),VLDL2與動(dòng)脈粥樣硬化高度相關(guān),即當(dāng)患者血糖紊亂時(shí)發(fā)生冠心病的概率較大。本研究采用UKPDS評(píng)分系統(tǒng)對(duì)老年CHD合并T2DM患者10年 CHDRISK進(jìn)行計(jì)算,結(jié)果顯示患者Gensini評(píng)分越高,其CHDRISK值也越大,表明CHDRISK與患者冠狀動(dòng)脈狹窄程度具有相關(guān)性。
MPV是主要的血小板參數(shù)之一,可用于判斷血小板活化功能,MPV升高間接反映血小板活性增強(qiáng)、數(shù)量增多,而血小板是血栓形成、炎癥反應(yīng)及動(dòng)脈粥樣硬化的關(guān)鍵因素[18]。有研究顯示[19-20],高活性的血小板含有大量的α顆粒和致密顆粒,誘發(fā)產(chǎn)生P選擇素、血栓素 A2、腺苷等大量的血栓形成因子,進(jìn)而表達(dá)更多Ⅱb和Ⅲa等黏附受體,還會(huì)與白細(xì)胞形成聚集物,加重血栓形成。本研究結(jié)果顯示,老年CHD合并T2DM患者Gensini評(píng)分越高,其MPV水平也越高,表明MPV水平與患者冠狀動(dòng)脈狹窄程度密切相關(guān)。
本研究還對(duì)患者Gensini評(píng)分與CHDRISK值和MPV水平進(jìn)行相關(guān)性分析,結(jié)果顯示患者Gensini評(píng)分與CHDRISK值和MPV水平均呈正相關(guān)。
綜上所述,老年CHD合并T2DM患者UKPDS評(píng)分和MPV變化與冠狀動(dòng)脈狹窄程度密切相關(guān),臨床加強(qiáng)對(duì)兩項(xiàng)指標(biāo)的分析檢測(cè)可為衡量老年CHD合并T2DM患者的冠狀動(dòng)脈狹窄程度提供一定參考,從而有助于臨床診療。
[參考文獻(xiàn)]
[1]? ?楊禮文,夏豪,田國(guó)衛(wèi),等.冠心病并高血壓患者平均血小板體積變化及其臨床意義研究[J].實(shí)用心腦肺血管病雜志,2017,25(4):18-22.
[2]? ?郭福佳,袁正強(qiáng),施尚鵬,等.早發(fā)與晚發(fā)冠心病患者臨床及冠狀動(dòng)脈病變特點(diǎn)的性別差異分析[J].臨床心血管病雜志,2021,37(1):28-31.
[3]? ?方釗,蔣學(xué)俊,陶波,等.老年單純冠心病合并糖尿病患者冠狀動(dòng)脈病變嚴(yán)重程度及特點(diǎn)分析[J].醫(yī)學(xué)研究雜志,2016,45(8):52-54,58.
[4]? ?McEwan P,Bennett H,Kartman B,et al. Does the appli-cation of UKPDS risk equations underestimate the cost-effectiveness of dapagliflozin in type 2 diabetes mellitus [J]. Value in Health,2019,22(3):s581.
[5]? ?吳妍,何浪,劉小慧,等.UKPDS評(píng)分聯(lián)合頸動(dòng)脈超聲預(yù)測(cè)2型糖尿病患者冠狀動(dòng)脈病變程度的臨床應(yīng)用[J].浙江醫(yī)學(xué),2020,42(20):2152-2155.
[6]? ?邢智,劉志強(qiáng),高穎.血小板參數(shù)與老年冠心病病人冠狀動(dòng)脈病變程度的相關(guān)性研究[J].實(shí)用老年醫(yī)學(xué),2019, 33(4):359-361.
[7]? ?中華人民共和國(guó)衛(wèi)生部.冠狀動(dòng)脈粥樣硬化性心臟病診斷標(biāo)準(zhǔn)[S]. 北京:中國(guó)標(biāo)準(zhǔn)出版社,2010.
[8]? ?中華醫(yī)學(xué)會(huì)糖尿病學(xué)分會(huì).中國(guó)2型糖尿病防治指南(2013年版)[J].中華糖尿病雜志,2014,6(7):447-498.
[9]? ?陶立波.英國(guó)UKPDS糖尿病衛(wèi)生經(jīng)濟(jì)學(xué)評(píng)價(jià)模型的解析與啟示[J].衛(wèi)生經(jīng)濟(jì)研究, 2015, (7):39-42.
[10]? Gensini GG. A more meaningful scoring system for deter- mining the severity of coronary heart disease[J].Am J Cardiol,1983,51(3):606.
[11]? 王蓓麗,李輝軍,伍嚴(yán)安,等.血清生化指標(biāo)與冠心病患者冠狀動(dòng)脈狹窄程度的相關(guān)性[J].檢驗(yàn)醫(yī)學(xué),2020,35(1):6-10.
[12]? 孔海燕,章新瓊,張洪輝,等.安徽省2型糖尿病患者心臟病風(fēng)險(xiǎn)知識(shí)掌握現(xiàn)狀及影響因素研究[J].現(xiàn)代預(yù)防醫(yī)學(xué),2021,48(2):300-303.
[13]? Paul V,Patrick H,F(xiàn)ranck B,et al. Risk stratification and screening for coronary artery disease in asymptomatic patients with diabetes mellitus:Position paper of the French Society of Cardiology and the French-speaking Society of Diabetology[J].Archives of Cardiovascular Dis-eases,2021,114(2):150-172.
[14]? Mohammad O,Anoop NK,Diem TD, et al. Comparison of long-term mortality in patients with single coronary narrowing and diabetes mellitus to that of patients with multivessel coronary narrowing without diabetes mellitus [J]. The American Journal of Cardiology,2021,142(1): 1-4.
[15]? Laxy M, Sch?觟ning VM, Kurz C, et al. Performance of the UKPDS outcomes model 2 for predicting death and cardiovascular events in patients with type 2 diabetes mellitus from a German Population-Based Cohort [J]. Pharmacoeconomics,2019,37(12):1485-1494.
[16]? Lin MY,Huang TY,Liu JS, et al. Validation of UKPDS outcomes and Taiwan diabetes models on Taiwan type 2 DM population [J].Value in Health,2020,23(1):S118-S119.
[17]? Johansen RF,Sndergaard E,Srensen LP,et al. Basal and insulin-regulated VLDL1 and? VLDL2 kinetics? in? men? with? type? 2? diabetes[J].Diabetologia,2016,59(4):833-843.
[18]? 李俊峰,全新天,周莉.老年冠心病合并糖尿病患者血小板參數(shù)與其冠脈微炎癥狀態(tài)的相關(guān)性[J].中國(guó)老年學(xué)雜志,2016,36(18):4490-4492.
[19]? Jatin A,Veer BS,Babulal M,et al. Mean paltelet volume(MPV) the neglected marker of cardiovascular risk and glycosylated hemoglobin in diabetic patient[J].Diabetes & Metabolic Syndrome:Clinical Research & Reviews,2017,11(2):109-112.
[20]? Manal KA,Ammar MA,Nawar MN,et al. The relationship between mean platelet volume and albuminuria in patients with type 2 diabetes mellitus[J].Diabetes & Metabolic Sy-ndrome: Clinical Research & Reviews,2019,13(4):2633-2639.
(收稿日期:2021-05-25)