睡眠质量与心脑血管疾病发病中、低危人群颈动脉粥样硬化的相关性分析

doi:10.3969/j.issn.1674-8115.2023.11.004

上海交通大学学报（医学版） ›› 2023, Vol. 43 ›› Issue (11): 1366-1373.doi: 10.3969/j.issn.1674-8115.2023.11.004

• 心脑血管慢病专题 • 上一篇

睡眠质量与心脑血管疾病发病中、低危人群颈动脉粥样硬化的相关性分析

赵倩¹(), 王颖¹, 谢依热·哈木拉提¹, 古丽洁合热·吐尔逊¹, 李晓梅¹, 杨毅宁¹^,²()

^1.新疆医科大学第一附属医院心脏中心，乌鲁木齐 830054
^2.新疆维吾尔自治区人民医院心内科，乌鲁木齐 830001

收稿日期:2023-04-03 接受日期:2023-08-27 出版日期:2023-11-28 发布日期:2023-11-28
通讯作者: 杨毅宁 E-mail:tina0627@126.com;yangyn5126@163.com
作者简介:赵倩（1987—），女，博士生；电子信箱：tina0627@126.com。
基金资助:
新疆维吾尔自治区重点研发计划(2020B03002);新疆维吾尔自治区自然科学基金(2020D01C255)

Correlation analysis between sleep quality and carotid atherosclerosis in low and moderate risk individuals for cardiovascular and cerebrovascular diseases

ZHAO Qian¹(), WANG Ying¹, HAMULATI Xieyire¹, TUERXUN Gulijiehere¹, LI Xiaomei¹, YANG Yining¹^,²()

^1.Heart Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
^2.Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, China

Received:2023-04-03 Accepted:2023-08-27 Online:2023-11-28 Published:2023-11-28
Contact: YANG Yining E-mail:tina0627@126.com;yangyn5126@163.com
Supported by:
Key R&D Program of Xinjiang Uygur Autonomous Region(2020B03002);Natural Science Foundation of Xinjiang Uygur Autonomous Region(2020D01C255)

摘要/Abstract

摘要：

目的·探讨睡眠质量与心脑血管疾病发病中、低危人群颈动脉粥样硬化的相关性。方法·基于新疆地区心脑血管自然人群队列，于2019年7月—2021年9月采用两阶段整群随机抽样的方法选取新疆北部（北疆）地区乌鲁木齐市和南疆地区库尔勒市共2个固定社区35~75岁的居民。在既往无冠心病且未发生脑血管事件的人群中，运用中国动脉粥样硬化性心血管疾病风险预测［prediction for atherosclerotic cardiovascular disease （ASCVD） risk in China，China-PAR］模型进行发病风险评估，纳入心脑血管疾病发病中、低危人群。所有纳入的研究对象均完成体格检查、问卷调查［包括新疆地区心脑血管疾病危险因素评测量表、匹兹堡睡眠质量指数（Pittsburgh Sleep Quality Index，PSQI）、国际体力活动问卷（International Physical Activity Questionnaire，IPAQ）、食物频率问卷］、心血管代谢相关的实验室检查和颈动脉超声检查。根据颈动脉内膜中层厚度（carotid intima-media thickness，CIMT）和是否有斑块形成判断研究对象颈动脉粥样硬化情况。采用多因素Logistic回归模型和限制性立方样条（restricted cubic spline，RCS）分析心脑血管疾病发病中、低危人群颈动脉粥样硬化与睡眠质量的相关性。结果·共1 528名心脑血管疾病发病中、低危人群纳入研究，平均年龄（49.4±8.2）岁，其中男性685人（44.8%）。纳入的人群中颈动脉内膜中层增厚581人（38.0%），颈动脉斑块形成305人（20.0%）；其中，内膜中层增厚且斑块形成154人（10.1%）。因此颈动脉粥样硬化患病率为47.9%（732人）。相较于颈动脉无增厚组，颈动脉内膜中层增厚/斑块组的一般心脑血管危险因素水平较高，包括年龄、男性比例、血脂水平和肥胖程度等，同时PSQI睡眠评分较高［（7.06±2.13）分vs（7.43±2.51）分，P=0.001］，睡眠质量较差组的比例较高（6.5% vs 12.1%，P=0.001）。多因素Logistic回归分析在校正了与颈动脉粥样硬化相关的影响因素后，提示睡眠质量差是心脑血管疾病发病中、低危人群颈动脉粥样硬化形成的独立危险因素［校正的OR（adjusted OR，aOR）=1.22，95%CI 1.004~1.492，P=0.040］。RCS分析提示PSQI和颈动脉粥样硬化风险呈现正向线性相关，即睡眠质量越差颈动脉粥样硬化发生的风险越高。结论·在心脑血管疾病发病中、低危人群中，虽然传统的代谢性危险因素处于低风险水平，但颈动脉粥样硬化形成的患病率较高，并且睡眠质量差是该人群颈动脉粥样硬化形成的独立危险因素。

关键词: 心脑血管疾病, 睡眠质量, 危险分层, 动脉粥样硬化

Abstract:

Objective ·To explore the relationship between sleep quality and carotid atherosclerosis in the population with low or moderate risk of cardiovascular and cerebrovascular diseases. Methods ·Based on the population-based cohort study of chronic diseases in Xinjiang, the researchers selected residents aged 35－75 from two fixed communities in Urumqi and Korla, in Northern and Southern Xinjiang, respectively, using a two-stage random cluster sampling method from July 2019 to September 2021. In the population without a history of coronary heart disease and cerebrovascular events, the prediction model for atherosclerotic cardiovascular disease (ASCVD) risk in China (China-PAR) was used to evaluate the risk of cardiovascular and cerebrovascular diseases. Low and moderate risk population of cardiovascular and cerebrovascular diseases were included. Participants completed physical examinations, questionnaires [including the Risk Factors Assessment Scale of Cardiovascular and Cerebrovascular Diseases in Xinjiang, Pittsburgh Sleep Quality Index (PSQI), International Physical Activity Questionnaire (IPAQ), and Food Frequency Questionnaire], cardiovascular and metabolic biochemical examinations, and carotid color doppler. Carotid intima-media thickness (CIMT) and plaque formation were used to determine the carotid atherosclerosis of the study subjects. Multivariate Logistic regression model and restricted cubic spline (RCS) were used to analyze the relationship between sleep quality and carotid intima-media thickening/plaque formation in the population with low and moderate risk of cardiovascular and cerebrovascular diseases. Results ·A total of 1 528 subjects were included in the study, the mean age was (49.4±8.2) years, and 685 (44.8%) were male. In the included population, there were 581 (38.0%) subjects with carotid intima-media thickening and 305 (20.0%) subjects with carotid plaque formation. Among them, intima-media thickening and plaque formation both occurred in 154 (10.1%) people. Therefore, the prevalence of carotid atherosclerosis was 47.9% (732 subjects). Compared with the group without carotid artery thickening, the group with carotid intima-media thickening/plaque formation had higher levels of general cardiovascular and cerebrovascular risk factors, including age, male ratio, blood lipid levels and obesity, and higher PSQI sleep score [(7.06±2.13) vs (7.43±2.51), P=0.001]. The proportion of patients with poor sleep quality was higher (6.5% vs 12.1%, P=0.001). Multivariate Logistic regression analysis showed that poor sleep quality was an independent risk factor for carotid atherosclerosis [adjusted OR (aOR)=1.22, 95%CI 1.004－1.492, P=0.040]. RCS analysis suggested that PSQI and the risk of carotid atherosclerosis showed a positive linear correlation, that is, the worse quality of sleep, the higher risk of carotid atherosclerosis. Conclusion ·Although the traditional metabolic risk factors are at a low risk level, the prevalence of carotid atherosclerosis is high and poor sleep quality is an independent risk factor for carotid atherosclerosis in the low and moderate risk population of cardiovascular and cerebrovascular diseases.

Key words: cardiovascular and cerebrovascular disease, sleep quality, risk stratification, atherosclerosis

中图分类号:

R541.4

赵倩, 王颖, 谢依热·哈木拉提, 古丽洁合热·吐尔逊, 李晓梅, 杨毅宁. 睡眠质量与心脑血管疾病发病中、低危人群颈动脉粥样硬化的相关性分析[J]. 上海交通大学学报（医学版）, 2023, 43(11): 1366-1373.

ZHAO Qian, WANG Ying, HAMULATI Xieyire, TUERXUN Gulijiehere, LI Xiaomei, YANG Yining. Correlation analysis between sleep quality and carotid atherosclerosis in low and moderate risk individuals for cardiovascular and cerebrovascular diseases[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(11): 1366-1373.

图/表 3

参考文献 27

1	GBD 2019 Diseases And Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990‒2019: a systematic analysis for the Global Burden of Disease Study 2019[J]. Lancet, 2020, 396(10258): 1204-1222.
2	FEIGIN V L, BRAININ M, NORRVING B, et al. World Stroke Organization (WSO): global stroke fact sheet 2022[J]. Int J Stroke, 2022, 17(1): 18-29.
3	蒋惠如, 李峥, 马卓然, 等. 上海社区老年人群队列心脑血管疾病单患、共患基线情况及生活方式特征[J]. 上海交通大学学报(医学版), 2022, 42(3): 282-289.
	JIANG H R, LI Z, MA Z R, et al. Baseline characteristics and lifestyle factors of single and co-morbidity of cardio-cerebrovascular diseases in Shanghai Community Elderly Cohort[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 282-289.
4	谢依热·哈木拉提, 赵倩, 李丞, 等. 基于真实世界的缺血性心脑血管共患疾病的临床特征及卫生经济学评价[J]. 上海交通大学学报(医学版), 2022, 42(6): 778-785.
	HAMULATI X, ZHAO Q, LI C, et al. Clinical characteristics and health economics evaluation of real-world-based ischemic cardiovascular and cerebrovascular co-morbidities[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(6): 778-785.
5	SPOSATO L A, LAM M, ALLEN B, et al. First-ever ischemic stroke and increased risk of incident heart disease in older adults[J]. Neurology, 2020, 94(15): e1559-e1570.
6	FERNÁNDEZ-ALVAREZ V, SÁNCHEZ M L, ALVAREZ F L, et al. Evaluation of intima-media thickness and arterial stiffness as early ultrasound biomarkers of carotid artery atherosclerosis[J]. Cardiol Ther, 2022, 11(2): 231-247.
7	MESSAS E, GOUDOT G, HALLIDAY A, et al. Management of carotid stenosis for primary and secondary prevention of stroke: state-of-the-art 2020: a critical review[J]. Eur Heart J Suppl, 2020, 22(Suppl M): M35-M42.
8	ZYRIAX B C, DRANSFELD K, WINDLER E. Carotid intima-media thickness and cardiovascular risk factors in healthy volunteers[J]. Ultrasound J, 2021, 13(1): 17.
9	BERGIA R E 3rd, BISKUP I, GIACCO R, et al. The MEDGICarb-Study: design of a multi-center randomized controlled trial to determine the differential health-promoting effects of low- and high-glycemic index Mediterranean-style eating patterns[J]. Contemp Clin Trials Commun, 2020, 19: 100640.
10	MURTHY V L, REIS J P, PICO A R, et al. Comprehensive metabolic phenotyping refines cardiovascular risk in young adults[J]. Circulation, 2020, 142(22): 2110-2127.
11	AI S Z, ZHANG J H, ZHAO G A, et al. Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobank[J]. Eur Heart J, 2021, 42(34): 3349-3357.
12	LLOYD-JONES D M, ALLEN N B, ANDERSON C A M, et al. Life′s essential 8: updating and enhancing the American Heart Association′s construct of cardiovascular health: a presidential advisory from the American Heart Association[J]. Circulation, 2022, 146(5): e18-e43.
13	YANG X L, LI J X, HU D S, et al. Predicting the 10-year risks of atherosclerotic cardiovascular disease in Chinese population: the China-PAR project (prediction for ASCVD risk in China)[J]. Circulation, 2016, 134(19): 1430-1440.
14	ALBERTI K M, ECKEL R H, GRUNDY S M, et al. Harmonizing the metabolic syndrome[J]. Circulation, 2009, 120(16): 1640-1645.
15	BUYSSE D J, REYNOLDS C F 3rd, MONK T H, et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research[J]. Psychiatry Res, 1989, 28(2): 193-213.
16	YIN Z, FEI Z, QIU C, et al. Dietary diversity and cognitive function among elderly people: a population-based study[J]. J Nutr Health Aging, 2017, 21(10): 1089-1094.
17	曹清明, 王蔚婕, 张琳, 等. 中国居民平衡膳食模式的践行——《中国居民膳食指南(2022)》解读[J]. 食品与机械, 2022, 38(6): 22-29.
	CAO Q M, WANG W J, ZHANG L, et al. The practice of balanced diet model for Chinese residents: interpretation of dietary guidelines for Chinese residents (2022)[J]. Food & Machinery, 2022, 38(6): 22-29.
18	国家卫生健康委员会脑卒中防治专家委员会血管超声专业委员会, 中国超声医学工程学会浅表器官及外周血管超声专业委员会, 中国超声医学工程学会颅脑及颈部血管超声专业委员会. 头颈部血管超声若干问题的专家共识(颈动脉部分)[J]. 中国脑血管病杂志, 2020, 17(6): 346-352, 封3.
	The Professional Committee of Vascular Ultrasound of Stroke Prevention and Treatment Expert, National Health Commission, PRC,the Professional Committee of Superficial Organ and Peripheral Vascular Ultrasound of the Chinese Medical Ultrasound Engineering, the Professional Committee of Craniocerebral and Cervical Vascular Ultrasound of the Chinese Medical Ultrasound Engineering. Expert consensus on some problems of cerebral and carotid vascular ultrasonography (Part of carotid)[J]. Chinese Journal of Cerebrovascular Diseases, 2020, 17(6): 346-352, cover 3.
19	白雪, 聂颖, 罗士欢, 等. 依据China-PAR风险评估模型对社区人群进行分层管理的效果初探[J]. 中华全科医师杂志, 2023, 22(3): 271-277.
	BAI X, NIE Y, LUO S H, et al. Stratified management for cardiovascular diseases risk in community population based on China-PAR[J]. Chinese Journal of General Practitioners, 2023, 22(3): 271-277.
20	陈暐烨, 刘晓非, 沈鹏, 等. China-PAR与WHO模型预测10年心血管病风险的准确性[J]. 中华流行病学杂志, 2022, 43(8): 1275-1281.
	CHEN W Y, LIU X F, SHEN P, et al. Accuracy of the China-PAR and WHO risk models in predicting the ten-year risks of cardiovascular disease in the Chinese population[J]. Chinese Journal of Epidemiology, 2022, 43(8): 1275-1281.
21	MARTINS A M A, PAIVA M U B, PAIVA D V N, et al. Innovative approaches to assess intermediate cardiovascular risk subjects: a review from clinical to metabolomics strategies[J]. Front Cardiovasc Med, 2021, 8: 788062.
22	DEFILIPPIS A P, YOUNG R, MCEVOY J W, et al. Risk score overestimation: the impact of individual cardiovascular risk factors and preventive therapies on the performance of the American Heart Association-American College of Cardiology-Atherosclerotic Cardiovascular Disease risk score in a modern multi-ethnic cohort[J]. Eur Heart J, 2017, 38(8): 598-608.
23	SONG P G, FANG Z, WANG H Y, et al. Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta-analysis, and modelling study[J]. Lancet Glob Health, 2020, 8(5): e721-e729.
24	REUTRAKUL S, van CAUTER E. Sleep influences on obesity, insulin resistance, and risk of type 2 diabetes[J]. Metabolism, 2018, 84: 56-66.
25	MOGAVERO M P, DELROSSO L M, FANFULLA F, et al. Sleep disorders and cancer: state of the art and future perspectives[J]. Sleep Med Rev, 2021, 56: 101409.
26	COWIE M R, LINZ D, REDLINE S, et al. Sleep disordered breathing and cardiovascular disease: JACC state-of-the-art review[J]. J Am Coll Cardiol, 2021, 78(6): 608-624.
27	MCALPINE C S, KISS M G, RATTIK S, et al. Sleep modulates haematopoiesis and protects against atherosclerosis[J]. Nature, 2019, 566(7744): 383-387.

Characteristic variable	Total (n=1 528)	Carotid intima-media thickening/plaque formation (n=732)	Normal intima-media thickness (n=796)	t/z/χ² value	P value
Male/n(%)	685 (44.8)	359 (49.0)	326 (40.9)	10.088	0.001
Age/year	49.4±8.2	52.4±7.4	46.6±7.9	14.948	0.000
Bachelor′s degree or above/n(%)	1 237 (81.0)	558 (76.2)	679 (85.4)	20.872	0.000
BMI/(kg·m^-2)	25.1±3.5	25.3±3.4	24.9±3.5	2.276	0.022
Obesity/n(%)	283 (18.5)	142 (19.4)	141 (17.7)	0.717	0.397
Waist circumference/cm	83.8±10.5	84.9±9.8	82.7±10.9	4.064	0.000
Abdominal obesity/n(%)	714 (46.7)	361 (49.3)	353 (44.3)	3.884	0.049
Diabetes/n(%)	60 (3.9)	40 (5.5)	20 (2.5)	8.808	0.003
SBP/mmHg	126.3±15.2	128.7±15.3	124.1±14.9	5.941	0.000
DBP/mmHg	79.4±10.9	78.7±10.8	80.2±10.9	2.613	0.009
High bloodpressure/n(%)	707 (46.3)	377 (51.5)	330 (41.4)	15.478	0.000
TAG/(mmol·L^-1)	1.33 (0.95, 1.95)	1.44 (1.06, 2.04)	1.24 (0.89, 1.85)	5.342	0.000
TC/(mmol·L^-1)	5.03±0.98	5.18±1.02	4.90±0.93	5.621	0.000
LDL-C/(mmol·L^-1)	3.32±0.77	3.44±0.79	3.21±0.73	5.735	0.000
HDL-C/(mmol·L^-1)	1.23±0.28	1.22±0.28	1.24±0.28	1.030	0.303
Smoking/n(%)	286 (18.7)	159 (21.7)	127 (15.9)	8.334	0.004
Medication/n(%)	275 (18.0)	164 (22.4)	111 (13.9)	18.491	0.000
Antihypertensive medication	134 (8.8)	83 (11.3)	51 (6.4)	11.592	0.001
Antidiabetic medication	55 (3.6)	37 (5.1)	18 (2.3)	8.574	0.003
Lipid-lowering medication	35 (2.3)	22 (3.0)	13 (1.6)	3.208	0.073
Others	51 (3.3)	22 (3.0)	29 (3.6)	0.480	0.488
PSQI/point	7.30±2.40	7.43±2.51	7.06±2.13	3.135	0.001
Poor sleep quality/n(%)	141 (9.2)	89 (12.1)	52 (6.5)	14.409	0.001
Drinking/n(%)	904 (59.2)	444 (60.6)	460 (57.7)	1.297	0.255
Physical activity/n(%)				2.969	0.227
High level	110 (7.2)	59 (8.1)	51 (6.4)
Moderate level	1 138 (74.5)	549 (75.0)	589 (74.0)
Low level	280 (18.3)	124 (16.9)	156 (19.6)
Dietary diversity score/point	4.88±1.22	4.97±1.20	4.81±1.23	2.557	0.010

Characteristic variable	Total (n=1 528)	Carotid intima-media thickening/plaque formation (n=732)	Normal intima-media thickness (n=796)	t/z/χ² value	P value
Male/n(%)	685 (44.8)	359 (49.0)	326 (40.9)	10.088	0.001
Age/year	49.4±8.2	52.4±7.4	46.6±7.9	14.948	0.000
Bachelor′s degree or above/n(%)	1 237 (81.0)	558 (76.2)	679 (85.4)	20.872	0.000
BMI/(kg·m^-2)	25.1±3.5	25.3±3.4	24.9±3.5	2.276	0.022
Obesity/n(%)	283 (18.5)	142 (19.4)	141 (17.7)	0.717	0.397
Waist circumference/cm	83.8±10.5	84.9±9.8	82.7±10.9	4.064	0.000
Abdominal obesity/n(%)	714 (46.7)	361 (49.3)	353 (44.3)	3.884	0.049
Diabetes/n(%)	60 (3.9)	40 (5.5)	20 (2.5)	8.808	0.003
SBP/mmHg	126.3±15.2	128.7±15.3	124.1±14.9	5.941	0.000
DBP/mmHg	79.4±10.9	78.7±10.8	80.2±10.9	2.613	0.009
High bloodpressure/n(%)	707 (46.3)	377 (51.5)	330 (41.4)	15.478	0.000
TAG/(mmol·L^-1)	1.33 (0.95, 1.95)	1.44 (1.06, 2.04)	1.24 (0.89, 1.85)	5.342	0.000
TC/(mmol·L^-1)	5.03±0.98	5.18±1.02	4.90±0.93	5.621	0.000
LDL-C/(mmol·L^-1)	3.32±0.77	3.44±0.79	3.21±0.73	5.735	0.000
HDL-C/(mmol·L^-1)	1.23±0.28	1.22±0.28	1.24±0.28	1.030	0.303
Smoking/n(%)	286 (18.7)	159 (21.7)	127 (15.9)	8.334	0.004
Medication/n(%)	275 (18.0)	164 (22.4)	111 (13.9)	18.491	0.000
Antihypertensive medication	134 (8.8)	83 (11.3)	51 (6.4)	11.592	0.001
Antidiabetic medication	55 (3.6)	37 (5.1)	18 (2.3)	8.574	0.003
Lipid-lowering medication	35 (2.3)	22 (3.0)	13 (1.6)	3.208	0.073
Others	51 (3.3)	22 (3.0)	29 (3.6)	0.480	0.488
PSQI/point	7.30±2.40	7.43±2.51	7.06±2.13	3.135	0.001
Poor sleep quality/n(%)	141 (9.2)	89 (12.1)	52 (6.5)	14.409	0.001
Drinking/n(%)	904 (59.2)	444 (60.6)	460 (57.7)	1.297	0.255
Physical activity/n(%)				2.969	0.227
High level	110 (7.2)	59 (8.1)	51 (6.4)
Moderate level	1 138 (74.5)	549 (75.0)	589 (74.0)
Low level	280 (18.3)	124 (16.9)	156 (19.6)
Dietary diversity score/point	4.88±1.22	4.97±1.20	4.81±1.23	2.557	0.010

Item	aOR	95%CI	P value
Age	1.10	1.085－1.120	0.000
Gender	1.58	1.201－2.085	0.001
Education level	0.76	0.505－1.132	0.174
BMI	1.01	0.972－1.058	0.521
Abdominal obesity	0.88	0.668－1.164	0.373
Diabetes	1.72	0.958－3.094	0.069
Smoking	1.22	0.875－1.687	0.245
High blood pressure	1.14	0.906－1.428	0.269
LDL-C	1.41	0.846－2.353	0.187
TAG	1.05	0.943－1.181	0.352
TC	0.89	0.591－1.341	0.578
Dietary diversity score	1.10	0.999－1.201	0.052
Poor sleep quality	1.22	1.001－1.492	0.040

Item	aOR	95%CI	P value
Age	1.10	1.085－1.120	0.000
Gender	1.58	1.201－2.085	0.001
Education level	0.76	0.505－1.132	0.174
BMI	1.01	0.972－1.058	0.521
Abdominal obesity	0.88	0.668－1.164	0.373
Diabetes	1.72	0.958－3.094	0.069
Smoking	1.22	0.875－1.687	0.245
High blood pressure	1.14	0.906－1.428	0.269
LDL-C	1.41	0.846－2.353	0.187
TAG	1.05	0.943－1.181	0.352
TC	0.89	0.591－1.341	0.578
Dietary diversity score	1.10	0.999－1.201	0.052
Poor sleep quality	1.22	1.001－1.492	0.040

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睡眠质量与心脑血管疾病发病中、低危人群颈动脉粥样硬化的相关性分析

Correlation analysis between sleep quality and carotid atherosclerosis in low and moderate risk individuals for cardiovascular and cerebrovascular diseases

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