


[摘要]"目的"探討類風濕關節炎(rheumatoid"arthritis,RA)并發心血管疾病(cardiovascular"disease,CVD)的危險因素。方法"收集2023年1月至2024年9月于鄭州大學第二附屬醫院住院的225例RA患者的臨床資料,根據是否并發CVD將患者分為CVD組(n=50)和非CVD組(n=175)。采用單因素和多因素Logistic回歸分析RA患者并發CVD的危險因素。結果"單因素Logistic回歸分析結果顯示,年齡、血細胞比容、紅細胞體積分布寬度(red"cell"volume"distribution"width,RDW)、紅細胞沉降率、中性粒細胞與高密度脂蛋白比值(neutrophil"to"high"density"lipoprotein"ratio,NHR)、血小板與淋巴細胞比值(platelet"to"lymphocyte"ratio,PLR)均是RA患者并發CVD的影響因素(Plt;0.05);多因素Logistic回歸分析結果顯示,年齡、RDW、NHR、PLR均是RA患者并發CVD的危險因素(Plt;0.05)。受試者操作特征曲線分析結果顯示,年齡、RDW、NHR、PLR診斷RA患者并發CVD的曲線下面積(area"under"the"curve,AUC)分別為0.844、0.797、0.572、0.713。四項指標聯合診斷的AUC為0.898。結論"RA患者并發CVD的風險受多種因素影響,聯合年齡、RDW、NHR及PLR可提高RA患者并發CVD的早期診斷效能。
[關鍵詞]"類風濕關節炎;心血管疾病;中性粒細胞;血小板;高密度脂蛋白
[中圖分類號]"R593.22;R541""""""[文獻標識碼]"A""""[DOI]"10.3969/j.issn.1673-9701.2025.10.005
Risk"factors"for"cardiovascular"disease"in"patients"with"rheumatoid"arthritis
LI"Yujie1,"YAO"Yanyan1,"TANG"Jingwen1,"HU"Yanmin1,"ZHU"Shenshen1,"LI"Linlin2,"WU"Zhaoke1
1.Department"of"Gerontology,"the"Second"Affiliated"Hospital"of"Zhengzhou"University,"Zhengzhou"450003,"Henan,"China;"""""2."College"of"Public"Health,"Zhengzhou"University,"Zhengzhou"450001,"Henan,"China
[Abstract]"Objective"To"investigate"the"risk"factors"for"cardiovascular"disease"(CVD)"in"patients"with"rheumatoid"arthritisnbsp;(RA)."Methods"Clinical"data"of"225"patients"with"RA"admitted"to"the"Second"Affiliated"Hospital"of"Zhengzhou"University"from"January"2023"to"September"2024"were"collected,"and"the"patients"were"divided"into"CVD"group"(n=50)"and"non-CVD"group"(n=175)"according"to"whether"they"were"complicated"by"CVD."Univariate"and"multivariate"Logistic"regression"was"used"to"analyze"the"risk"factors"of"CVD"in"RA"patients."Results"Univariate"Logistic"regression"analysis"showed"that"age,"hematocrit,"red"cell"volume"distribution"width"(RDW),"erythrocyte"sedimentation"rate,"neutrophil"to"high"density"lipoprotein"ratio"(NHR)"and"platelet"to"lymphocyte"ratio"(PLR)"were"all"influencing"factors"for"CVD"in"RA"patients"(Plt;0.05)."Multivariate"Logistic"regression"analysis"showed"that"age,"RDW,"NHR"and"PLR"were"all"risk"factors"for"CVD"in"RA"patients"(Plt;0.05)."The"results"of"receiver"operating"characteristic"curve"analysis"showed"that"the"area"under"the"curve"(AUC)"of"age,"RDW,"NHR"and"PLR"diagnosed"CVD"in"RA"patients"were"0.844,"0.797,"0.572"and"0.713,"respectively."The"combined"diagnosis"AUC"of"four"indexes"was"0.898."Conclusion"The"risk"of"CVD"in"RA"patients"is"influenced"by"many"factors,"and"the"combination"of"age,"RDW,"NHR,"and"PLR"can"improve"early"diagnosis"of"CVD"in"RA"patients.
[Key"words]"Rheumatoid"arthritis;"Cardiovascular"disease;"Neutrophil;"Platelet;"High"density"lipoprotein
類風濕關節炎(rheumatoid"arthritis,RA)是一種自身免疫病,中國的患病率約為0.42%[1]。RA以關節痛、晨僵和關節腫脹為突出癥狀。RA亦是一種全身性疾病,可累及多個器官系統,如心血管系統和呼吸系統等[2-3]。研究表明RA患者較健康人群更易罹患心血管疾病(cardiovascular"disease,CVD),RA與CVD風險增加密切相關,因為它們具有共同的炎癥途徑[4-5]。中性粒細胞、淋巴細胞和血小板等均參與炎癥反應。在脂蛋白組分中,高密度脂蛋白(high"density"lipoprotein,HDL)是CVD的保護"""因子。相對于單一指標,多種指標的結合可更有效地反映炎癥情況。中性粒細胞與淋巴細胞比值(neutrophil"to"lymphocyte"ratio,NLR)、中性粒細胞與高密度脂蛋白比值(neutrophil"to"high"density"lipoprotein"ratio,NHR)、血小板與淋巴細胞比值(platelet"to"lymphocyte"ratio,PLR)等已被證明與CVD有關[6-8]。這些指標還被證明與自身免疫病的活動期和不良預后相關[9-12]。本研究分析RA患者的一般資料和實驗室檢查結果,探討相關因素與RA患者發生CVD的關系,并評估RA合并CVD的危險因素。
1""資料與方法
1.1""研究對象
選取2023年1月至2024年9月于鄭州大學第二附屬醫院住院的225例RA患者。納入標準:①符合2010年美國風濕病學會/歐洲類風濕病學會的RA診斷標準[13];②年齡gt;18歲;③患者資料完整;""④自愿參加本研究。排除標準:①合并嚴重的肝腎功能不全、活動性病毒性肝炎、獲得性免疫缺陷綜合征;②患有惡性腫瘤、血液系統疾病、急性感染、結核病等。CVD包括冠狀動脈粥樣硬化性心臟病、心律失常、心力衰竭及外周血管疾病等。依據患者的癥狀、檢驗結果、心電圖、超聲心動圖、心臟CT血管成像、冠狀動脈造影等進行診斷。根據是否并發CVD將患者分為CVD組(n=50)和非CVD組(n=175)。本研究經鄭州大學第二附屬醫院倫理委員會批準(倫理審批號:KY2024181),所有參與者均簽署知情同意書。
1.2""資料收集
收集患者的一般資料,包括年齡、性別、身高、體質量。實驗室指標:白細胞計數、中性粒細胞計數、淋巴細胞計數、單核細胞計數、血小板計數、紅細胞計數、血紅蛋白、血細胞比容、紅細胞體積分布寬度(red"cell"volume"distribution"width,RDW)、紅細胞沉降率、C反應蛋白""""""(C-reactive"protein,CRP)、降鈣素原、白細胞介素-6(interleukin-6,IL-6)、甘油三酯(triglyceride,TG)、HDL。依據公式計算體質量指數(body"mass"index,BMI)、NHR、NLR、PLR、CRP與HDL比值(CRP"to"HDL"ratio,CHR)、單核細胞與HDL比值(monocyte"to"HDL"ratio,MHR)、淋巴細胞與HDL比值(lymphocyte"to"HDL"ratio,LHR)。
1.3""統計學方法
采用SPSS"26.0軟件進行統計學分析。符合正態分布的計量資料以均數±標準差(")表示,組間比較采用t檢驗,不符合正態分布的計量資料以中位數(四分位數間距)[M(Q1,Q3)]表示,組間比較采用秩和檢驗;計數資料以例數(百分率)""""[n(%)]表示,組間比較采用c2檢驗。采用多因素Logistic回歸分析RA患者并發CVD的危險因素,并繪制受試者操作特征曲線(receiver"operating"characteristic"curve,ROC曲線)。Plt;0.05為差異有統計學意義。
2""結果
2.1""兩組患者的基線資料比較
CVD組患者的年齡顯著大于非CVD組,白細胞計數、血細胞比容、RDW、CRP、PLR均顯著高于非CVD組;CVD組患者的TG水平顯著低于非CVD組(Plt;0.05),見表1。
2.2""RA患者并發CVD的單因素分析
將所有指標納入單因素Logistic回歸分析,結果顯示年齡、血細胞比容、RDW、紅細胞沉降率、NHR、PLR均是RA患者并發CVD的影響因素(Plt;0.05),見表2。
2.3""RA患者并發CVD的多因素Logistic回歸分析
將單因素Logistic回歸分析中Plt;0.05的指標納入多因素Logistic回歸分析,結果顯示年齡、RDW、NHR、PLR均是RA患者并發CVD的危險因素(Plt;0.05),見表3。
2.4""年齡、RDW、NHR及PLR對RA患者并發CVD的診斷效能
ROC曲線分析結果顯示,年齡、RDW、NHR、PLR診斷RA患者并發CVD的曲線下面積(area"under"the"curve,AUC)分別為0.844、0.797、0.572、0.713。四項聯合診斷的AUC為0.898,見圖1、表4。
3""討論
RA的主要特征為持續性滑膜炎,可導致關節損傷及功能障礙。研究表明約50%的RA患者死亡與CVD相關,且RA患者的CVD發生率和心血管死亡率是一般人群的1.5~2.0倍[14]。與年齡和性別相匹配的對照組相比,RA患者的CVD發病時間通常提前約10年[15]。此外,無論患者的年齡、既往CVD史或傳統危險因素如何,RA患者發生心肌梗死的風險是一般人群的2倍[16]。本研究中22.2%的RA患者并發CVD,年齡、RDW、NHR及PLR均是RA患者并發CVD的獨立危險因素,四者聯合預測的AUC為0.898,顯示出較高的診斷效能。
年齡是CVD的已知危險因素,且在RA患者中尤為重要,本結果與李珊等[17]研究一致。隨著年齡增長,血管彈性逐漸下降、動脈硬化也日益加重,這些生理過程可能與RA相關的心血管風險形成疊加效應。研究表明RDW與一般人群的CVD發生存在一定關聯,包括卒中、外周動脈疾病、高血壓、急性心肌梗死、心力衰竭和心房顫動等[18]。RDW被認為是慢性炎癥和氧化應激的標志物,而后兩者在動脈粥樣硬化的發展中扮演重要角色[19]。González-Sierra等[20]進行的橫斷面研究表明,RDW與亞臨床CVD風險因素(如血脂異常和胰島素抵抗)及系統性冠心病風險評估預測算法相關。Held等[21]發現盡管甲氨蝶呤治療可削弱RDW在預測后續RA患者CVD事件中的價值,但在初始診斷階段,尤其是在未接受甲氨蝶呤治療的患者中,較高的RDW水平與后續CVD發生風險顯著相關。本研究結果也支持這些發現,但具體機制仍需繼續研究。
CVD的發生受到炎癥和脂質代謝的雙重影響。NHR是一種新興的全身炎癥標志物,可綜合反映炎癥狀態和脂質代謝水平。免疫細胞可觸發動脈粥樣硬化斑塊破裂,引發CVD。已有研究證明CVD與中性粒細胞存在較強的相關性[8]。中性粒細胞是RA炎癥和免疫激活的第一反應者,并作為抗原呈遞細胞在促進慢性炎癥和自身免疫中發揮作用[22-23]。RA患者常表現出“脂質悖論”,即在炎癥狀態下,盡管總膽固醇、低密度脂蛋白(low"density"lipoprotein,LDL)和HDL水平降低,心血管風險卻增加,焦薇等[24]研究證實這一現象。RA引發的炎癥可導致HDL顆粒的亞組分和結構發生改變,減弱其抗動脈粥樣硬化功能,促進LDL氧化并加速斑塊形成,功能失調的HDL可進一步加重LDL代謝異常,進而增加CVD風險[25]。本研究發現較高的NHR提示RA患者并發CVD風險升高,但其敏感度相對較低,提示NHR單獨預測CVD風險的效果有限。針對NHR的預測價值仍需更多研究加以驗證。
近年來,PLR已廣泛應用于風濕性疾病的診斷、活動評估和預后預測[26]。血小板作為內源性和適應性免疫反應的活性調節因子,在炎癥過程中發揮重要作用。當機體受到炎癥刺激時,巨核細胞釋放大量血小板,其與白細胞和內皮細胞相互作用加劇炎癥反應。RA患者中,外周血淋巴細胞的遷移和浸潤可導致淋巴細胞數量減少,而淋巴細胞對抑制炎癥反應和恢復免疫平衡具有重要作用[27]。高PLR暗示淋巴細胞數量減少,反映出抗炎免疫功能的缺陷,表明全身炎癥加劇,可能加速動脈粥樣硬化進程,從而增加CVD風險和死亡率[28]。因此,PLR不僅有助于評估RA的疾病活動,也有助于早期識別和干預RA患者的各類并發癥。
綜上,RA患者的CVD風險受多種因素影響,其中年齡、RDW、NHR和PLR均為重要的獨立危險因素。聯合應用這四項指標,可提供一種廉價、微創且易于獲得的評估方法,在資源有限的地區具有實際應用價值。
利益沖突:所有作者均聲明不存在利益沖突。
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(收稿日期:2025–01–09)
(修回日期:2025–03–07)