北京大学学报(医学版) ›› 2022, Vol. 54 ›› Issue (6): 1128-1133. doi: 10.19723/j.issn.1671-167X.2022.06.012

• 论著 • 上一篇    下一篇

不同分类标准对中国大动脉炎的诊断效能比较

曹瑞洁1,2,姚中强1,焦朋清2,崔立刚3,*()   

  1. 1. 北京大学第三医院风湿免疫科,北京 100191
    2. 河北医科大学第四医院免疫风湿科,石家庄 050011
    3. 北京大学第三医院超声医学科,北京 100191
  • 收稿日期:2022-09-01 出版日期:2022-12-18 发布日期:2022-12-19
  • 通讯作者: 崔立刚 E-mail:cuijuegang@126.com
  • 基金资助:
    国家自然科学基金(8207071016)

Comparison of diagnostic efficacy of different classification criteria for Takayasu arteritis in Chinese patients

Rui-jie CAO1,2,Zhong-qiang YAO1,Peng-qing JIAO2,Li-gang CUI3,*()   

  1. 1. Department of Rheumatology, Peking University Third Hospital, Beijing 100191, China
    2. Department of Rheumato-logy, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
    3. Department of Ultrasound Medicine, Peking University Third Hospital, Beijing 100191, China
  • Received:2022-09-01 Online:2022-12-18 Published:2022-12-19
  • Contact: Li-gang CUI E-mail:cuijuegang@126.com
  • Supported by:
    National Natural Science Foundation of China(8207071016)

摘要:

目的: 比较1990年和2022年美国风湿病学会(American College of Rheumatology,ACR)大动脉炎分类标准在中国人群中的诊断效能。方法: 回顾性分析2012年5月至2022年5月就诊于北京大学第三医院且病例资料完善的大动脉炎患者及动脉粥样硬化所致动脉狭窄或闭塞患者的临床资料和影像学检查。以2位风湿免疫科专科医师的诊断为金标准,比较以上两种分类标准的敏感性、特异性、阳性预测值、阴性预测值、准确度及受试者工作特征曲线(receiver operating characteristics,ROC)的曲线下面积(area under ROC curve,AUC)。此外,还尝试将新的影像学方法,如彩色多普勒超声(color Doppler ultrasound,CDUS)、计算机断层血管造影(computed tomography angiography,CTA)、磁共振血管造影(magnetic resonance angiography,MRA)和18F-氟脱氧葡萄糖(18F-fluorodeoxyglucose,18F-FDG)正电子发射断层扫描(positron emission tomography,PET)/计算机断层扫描显像(computed tomography,CT)加入1990年分类标准的影像学检查中,以了解影像学方法的改进对该分类标准诊断效能的影响,并比较大动脉炎和动脉粥样硬化患者影像学表现的差异。结果: 2022年ACR大动脉炎分类标准在灵敏度(91.75%)、阳性预测值(94.68%)、阴性预测值(92.79%)、准确度(93.66%)和AUC(0.979)方面均优于1990年ACR大动脉炎分类标准(45.36%、91.67%、66.24%、72.20%、0.855)。将CDUS、CTA、MRA和PET/CT纳入1990年ACR大动脉炎分类标准的影像学检查后,其灵敏度、阳性预测值、阴性预测值、准确度和AUC均有大幅提高,分别为63.92%、92.54%、74.64%、80.49%和0.959,但仍低于2022年ACR大动脉炎分类标准(P < 0.001)。大动脉炎组影像学表现为动脉狭窄者更多(P=0.030),动脉粥样硬化组动脉闭塞更多(P=0.021),动脉瘤形成或动脉夹层在两组间差异无统计学意义(P=0.171)。大动脉炎组受累血管数量≥3者更多(P=0.013),而动脉粥样硬化组单一血管受累者更多(P=0.011)。结论: 与1990年ACR大动脉炎分类标准相比,2022年的ACR分类标准诊断效能更高,可能更适合中国人群;纳入更多成像方式可以提高1990年ACR分类标准的诊断效能。

关键词: 大动脉炎, 诊断, 敏感性与特异性, 中国

Abstract:

Objective: To compare the diagnostic efficiency of the 1990 American College of Rheumatology (ACR) classification criteria for Takayasu arteritis (TA) and the 2022 ACR classification criteria for TA in Chinese populations. Methods: The clinical and imaging data of TA patients and patients with arterial stenosis or occlusion caused by atherosclerosis who were admitted to Peking University Third Hospital from May 2012 to May 2022 were retrospectively analyzed. Clinical diagnosis of TA by two rheumatologists were defined as the gold standard. The sensitivity, specificity, positive predictive value, negative predictive value, accuracy and the area under the receiver operating characteristics (ROC) curve (AUC) of the above two classification criteria were compared. In addition, this study also attempted to apply new imaging modalities, such as color Doppler ultrasound (CDUS), computed tomography angiography (CTA), magnetic resonance angiography (MRA) and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) in the 1990 ACR classification criteria to find whether this approach would improve the diagnostic efficiency. At the same time, the imaging features of the two groups were compared. Results: The sensitivity (91.75%), positive predictive value (94.68%), negative predictive value (92.79%), accuracy (93.66%) and AUC (0.979) of the 2022 ACR TA classification criteria were better than those of the 1990 ACR TA classification criteria (45.36%, 91.67%, 66.24%, 72.20% and 0.855, respectively). In addition, we included new imaging modalities, such as CDUS, CTA, MRA and PET/CT in the 1990 ACR TA classification criteria, and the sensitivity, positive predictive value, negative predictive value, accuracy and AUC were significantly improved, which were 63.92%, 92.54%, 74.64%, 80.49% and 0.959, respectively, but still lower than those of the 2022 ACR classification criteria of TA (P < 0.001). The TA patients had more arterial stenosis (P=0.030), while the atherosclerosis patients had more arterial occlusion (P=0.021). There was no significant difference in arterial aneurysm or dissection (P=0.171). The TA patients had more involvement of ≥3 arteries (P=0.013), while the atherosclerosis patients had more unique artery involvement (P=0.011). Conclusion: Compared with the 1990 ACR classification criteria for TA, the 2022 ACR classification criteria had higher diagnostic efficiency and might be more sui-table for the Chinese populations. Using more imaging modalities would improve the diagnostic perfor-mance of 1990 ACR classification criteria.

Key words: Takayasu arteritis, Diagnosis, Sensitivity and specificity, China

中图分类号: 

  • R593.2

表1

两组患者一般情况及临床特点比较[n(%)]"

Items Takayasu's arteritis
(n=97)
Atherosclerosis
(n=108)
χ2/Z P values
Female 85 (87.63) 24 (22.22) 87.800 < 0.001
Age at diagnosis
    < 40 years 71 (73.20) 9 (8.33) 90.352 < 0.001
   40-60 years 21 (21.65) 83 (76.85) 62.303 < 0.001
   >60 years 5 (5.15) 16 (14.81) 5.187 0.023
Clinical symptoms
   Fever 16 (16.49) 0 19.323 < 0.001
   Weakness 30 (30.93) 3 (2.78) 29.982 < 0.001
   Limb claudication 23 (23.71) 54 (50.00) 15.059 < 0.001
   Headache/Dizziness 43 (44.33) 28 (25.93) 7.646 0.006
   Sudden blindness/ Visual disturbance 12 (12.37) 7 (6.48) 2.108 0.147
Clinical signs
   Decreased or absent pulses in upper limbs 48 (49.48) 9 (8.33) 43.110 < 0.001
   Weak or tender carotid pulse 21 (21.65) 7 (6.48) 9.970 0.002
   Arterial bruit 46 (47.42) 6 (5.56) 47.315 < 0.001
   A difference of more than 10 mmHg systolic pressure between two limbs 38 (39.18) 5 (4.63) 36.792 < 0.001
   A difference of more than 20 mmHg systolic pressure between two limbs 24 (24.74) 4 (3.70) 19.180 < 0.001

表2

大动脉炎和动脉粥样硬化患者动脉受累部位[n(%)]"

Items Takayasu's arteritis (n=97) Atherosclerosis (n=108) χ2 P values
Ascending aorta 15 (15.46) 0 18.020 < 0.001
Aortic arch 23 (23.71) 0 28.844 < 0.001
Brachiocephalic trunk 26 (26.80) 0 33.153 < 0.001
Left subclavian artery 46 (47.42) 14 (12.96) 29.313 < 0.001
Right subclavian artery 43 (44.33) 11 (10.19) 30.706 < 0.001
Left common carotid artery 67 (69.07) 34 (31.48) 28.891 < 0.001
Right common carotid artery 67 (69.07) 30 (27.78) 34.957 < 0.001
Thoracic aorta 17 (17.53) 1 (0.93) 17.581 < 0.001
Abdominal aorta 29 (29.90) 19 (17.59) 4.314 0.038
Left renal artery 25 (25.77) 8 (7.41) 12.762 < 0.001
Right renal artery 23 (23.71) 9 (8.33) 9.174 0.002
Celiac trunk 7 (7.22) 2 (1.85) 2.342 0.126
Superior mesenteric artery 11 (11.34) 2 (1.85) 7.746 0.005
Left common iliac artery 4 (4.12) 20 (18.52) 10.244 0.001
Right common iliac artery 2 (2.06) 17 (15.74) 11.371 0.001
Left common femoral artery 4 (4.12) 29 (26.85) 19.545 < 0.001
Right common femoral artery 2 (2.06) 31 (28.70) 26.856 < 0.001
Paired artery involvement 72 (74.23) 60 (55.56) 7.770 0.005

表3

两组患者动脉受累的影像学特点[n(%)]"

Items Takayasu's arteritis (n=97) Atherosclerosis (n=108) χ2 P values
Arterial stenosis 97 (100.0) 101 (93.5) 4.692 0.030
Arterial occlusion 33 (34.0) 54 (50.0) 5.342 0.021
Aneurysm formation or dissection 3 (3.1) 8 (7.4) 1.873 0.171
   ≥3 arteries involved 81 (83.5) 74 (68.5) 6.224 0.013
   2 arteries involved 13 (13.4) 20 (18.5) 0.990 0.320
   1 artery involved 3 (3.1) 14 (13.0) 6.546 0.011

表4

不同分类标准评价指标的比较[M (P25, P75)]"

Classification criteria for TA Sensitivity Specificity Positive predictive value Negative predictive value Accuracy AUC
1990 ACR 45.36
(35.33-55.76)
96.30
(90.24-98.81)
91.67
(79.13-97.30)
66.24
(58.21-73.47)
72.20
(65.70-77.88)
0.855
(0.804-0.907)
Revised 1990 ACR 63.92
(53.48-73.24)
95.37
(89.01-98.28)
92.54
(82.74-97.22)
74.64
(66.39-81.48)
80.49
(74.53-85.33)
0.959
(0.933-0.984)
2022 ACR 91.75
(83.93-96.11)
95.37
(89.01-98.28)
94.68
(87.45-98.03)
92.79
(85.86-96.61)
93.66
(89.46-96.26)
0.979
(0.961-0.998)

图1

不同分类标准的受试者工作特征曲线"

1 Numano F , Okawara M , Inomata H , et al. Takayasu's arteritis[J]. Lancet, 2000, 356 (9234): 1023- 1025.
doi: 10.1016/S0140-6736(00)02701-X
2 Vanoli M , Daina E , Salvarani C , et al. Takayasu's arteritis: A study of 104 Italian patients[J]. Arthritis Rheum, 2005, 53 (1): 100- 107.
doi: 10.1002/art.20922
3 David S , Mathieu V , Patrice C . Medium- and large-vessel vascu-litis[J]. Circulation, 2021, 143 (3): 267- 282.
doi: 10.1161/CIRCULATIONAHA.120.046657
4 Richards BL , March L , Gabriel SE . Epidemiology of large-vessel vasculidities[J]. Best Pract Res Clin Rheumatol, 2010, 24 (6): 871- 883.
doi: 10.1016/j.berh.2010.10.008
5 Cong XL , Dai SM , FENG X , et al. Takayasu's arteritis: Clinical features and outcomes of 125 patients in china[J]. Clin Rheumatol, 2010, 29 (9): 973- 981.
doi: 10.1007/s10067-010-1496-1
6 Kaymaz-Tahra S , Alibaz-Oner F , Direskeneli H . Assessment of damage in Takayasu's arteritis[J]. Semin Arthritis Rheum, 2020, 50 (4): 586- 591.
doi: 10.1016/j.semarthrit.2020.04.003
7 马斌, 牛林, 汪国生, 等. 80例大动脉炎临床资料回顾性分析[J]. 安徽医学, 2014, 35 (1): 71- 74.
8 de Souza AW , de Carvalho JF . Diagnostic and classification criteria of Takayasu arteritis[J]. J Autoimmuny, 2014, 48/49, 79- 83.
doi: 10.1016/j.jaut.2014.01.012
9 Seeliger B , Sznajd J , Robson JC , et al. Are the 1990 American College of Rheumatology vasculitis classification criteria still valid?[J]. Rheumatology (Oxford), 2017, 56 (7): 1154- 1161.
doi: 10.1093/rheumatology/kex075
10 Arend WP , Michel BA , Bloch DA , et al. The American College of Rheumatology 1990 criteria for the classification of Takayasu arteritis[J]. Arthritis Rheum, 1990, 33 (8): 1129- 1134.
11 Sugiyama K , Ijiri S , Tagawa S , et al. Takayasu disease on the centenary of its discovery[J]. Jpn J Ophthalmol, 2009, 53 (2): 81- 91.
doi: 10.1007/s10384-009-0650-2
12 Alibaz-Öner F , Aydın SZ , Direskeneli H . Recent advances in Takayasu's arteritis[J]. Eur J Rheumatol, 2015, 2 (1): 24- 30.
doi: 10.5152/eurjrheumatol.2015.0060
13 Kim ESH , Beckman J . Takayasu arteritis: Challenges in diagnosis and management[J]. Heart, 2018, 104 (7): 558- 565.
doi: 10.1136/heartjnl-2016-310848
14 Clifford AH , Cohen Tervaert JW . Cardiovascular events and the role of accelerated atherosclerosis in systemic vasculitis[J]. Atherosclerosis, 2021, 325, 8- 15.
doi: 10.1016/j.atherosclerosis.2021.03.032
15 Moriya J . Critical roles of inflammation in atherosclerosis[J]. J Cardiol, 2019, 73 (1): 22- 27.
doi: 10.1016/j.jjcc.2018.05.010
16 吴思凡, 马莉莉, 陈慧勇, 等. 不同诊断/分类标准对大动脉炎诊断的价值研究[J]. 中华风湿病学杂志, 2021, 25 (11): 727- 732.
doi: 10.3760/cma.j.cn141217-20200426-00175
17 Sharma BK , Jain S , Suri S , et al. Diagnostic criteria for Takayasu arteritis[J]. Int J Cardiol, 1996, 54 (Suppl 2): S141- S147.
18 Dejaco C , Ramiro S , Duftner C , et al. Eular recommendations for the use of imaging in large vessel vasculitis in clinical practice[J]. Ann Rheum Dis, 2018, 77 (5): 636- 643.
doi: 10.1136/annrheumdis-2017-212649
19 Sinha D , Mondal S , Nag A , et al. Development of a colour doppler ultrasound scoring system in patients of Takayasu's arteritis and its correlation with clinical activity score (ITAS 2010)[J]. Rheumatology (Oxford), 2013, 52 (12): 2196- 2202.
doi: 10.1093/rheumatology/ket289
20 Svensson C , Eriksson P , Zachrisson H . Vascular ultrasound for monitoring of inflammatory activity in Takayasu arteritis[J]. Clin Physiol Funct Imaging, 2020, 40 (1): 37- 45.
doi: 10.1111/cpf.12601
21 Oura K , Yamaguchi Oura M , Itabashi R , et al. Vascular imaging techniques to diagnose and monitor patients with Takayasu arteritis: A review of the literature[J]. Diagnostics (Basel), 2021, 11 (11): 1993.
doi: 10.3390/diagnostics11111993
22 Keser G , Aksu K , Direskeneli H . Takayasu arteritis: An update[J]. Turk J Med Sci, 2018, 48 (4): 681- 697.
doi: 10.3906/sag-1804-136
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