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Associations of liver fibrosis scores with cardiovascular disease incidence among adult rural Uyghurs in Xinjiang Uyghur Autonomous Region: a 6-year prospective follow-up study
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Tingchao LIU1, Shijie ZHANG2, 3, Jing YANG2, 3, Xinyu PENG2, 3, Rulin MA1, Heng GUO1, Xianghui ZHANG1, Jia HE1, Shuxia GUO1, 2
Chinese Journal of Public Health | 2025, 41(2) : 154 - 160
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Chinese Journal of Public Health | 2025, 41(2): 154-160
• Epidemiological Research •
Associations of liver fibrosis scores with cardiovascular disease incidence among adult rural Uyghurs in Xinjiang Uyghur Autonomous Region: a 6-year prospective follow-up study
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Tingchao LIU1, Shijie ZHANG2, 3, Jing YANG2, 3, Xinyu PENG2, 3, Rulin MA1, Heng GUO1, Xianghui ZHANG1, Jia HE1, Shuxia GUO1, 2
Affiliations
  • 1Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi 832000, China
  • 2National Health Commission Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi 832000, China
  • 3Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University Medical School, Shihezi 832000, China
Published: 2025-02-10 doi: 10.11847/zgggws1144530
Outline
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Objective

To investigate the relationship between liver fibrosis score (LFS) and the incidence of cardiovascular disease (CVD) in rural Uyghur residents in Uyghur Autonomous Region (Xinjiang), and to provide a reference for the early detection and prevention of CVD.

Methods

Using a typical sampling, we recruited 13 464 rural Uyghur residents aged ≥18 years in the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps and conducted a baseline survey in August-September 2016. Five follow-up surveys were conducted in July 2019, July 2020, August 2021, June 2022, and June 2023 among 11 863 non-pregnant and non-frequent migrant participants with complete information and no CVD at baseline. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD in three groups with different grades of LFS, including fibrosis-4 score (FIB-4 score), body mass index (BMI)-aspartate aminotransferase/alanine aminotransferase(AST/ALT) ratio-diabetes score (BARD score) , and Forns index. The Cox proportional hazards regression model was used to assess the relationship between the three LFSs and CVD incidence. The Framingham CVD risk score model (Framingham model) was used to assess the predictive value of LFS for CVD risk.

Results

At the end of the surveys, 423 (3.57%) of the 11 863 participants were lost to follow-up and 1 280 CVD events were identified in the 11 440 participants finally included in the analysis, with an incidence density of 17.62/1 000 person-years and a cumulative incidence of 11.19% for the total follow-up of 72 662.30 person-years and an average of 6.35±1.28 person-years for per participant. The cumulative incidences of CVD were 9.10%, 19.28%, and 27.71% for the low (<1.30), moderate (1.30–2.67), and high (>2.67) FIB-4 score groups; 7.19%, 16.45%, and 33.81% for the low (<2), moderate (2–3), and high (>3) BARD score groups; and 1.42%, 9.89%, and 26.88% for the low (<4.2), moderate (4.2–6.9), and high (>6.9) Forns index groups, respectively, with statistically significant differences in the cumulative CVD incidence among groups with different LFS of three types (all P<0.001). After adjustment for sex, age, smoking status, alcohol consumption, hypertension, diabetes, obesity, waist circumference, high-density lipoprotein cholesterol (HDL-C), and estimated glomerular filtration rate (eGFR), the multifactorial Cox proportional hazards regression model showed that the risk of CVD was higher in the moderate and high FIB-4 score groups (hazard risk [HR]=1.26, 95% confidence interval [95%CI]: 1.09–1.45 and HR=1.91, 95%CI: 1.59–2.30) than those in the low score group; the risk of CVD was also higher in the moderate and high BARD score groups (HR=1.57, 95%CI: 1.24–1.97) and HR=2.47, 95%CI: 1.51–4.04) and Forns index groups (HR=3.00, 95%CI: 2.12–4.24 and HR=4.95, 95%CI: 3.44–7.11) than those in the low BARD score and Forns index groups, respectively. The concordance index (C-index) (95%CI) of the Framingham model analysis was 0.805 (0.794–0.815). The C-index (95%CI) after adding the FIB-4 score, BARD score, and Forns index was 0.809 (0.799–0.820), 0.810 (0.800–0.821), and 0.810 (0.799–0.820), respectively (all P<0.001). The net reclassification index (95%CI) after adding the BARD score and the Forns index was 0.239 (0.206–0.269) and 0.105 (0.070–0.137), respectively (all P<0.001). The integrated discrimination improvement index (95%CI) was 0.007 (0.003–0.011) and 0.005 (0.002–0.010), respectively (all P<0.001). The addition of the three LFSs may improve the predictive ability of the Framingham model for CVD risk.

Conclusions

Elevated LFS levels may increase the risk of CVD in rural Uyghur residents in Xinjiang. The addition of LFS may improve the predictive ability of the Framingham model for CVD risk.

cardiovascular disease  /  incidence  /  liver fibrosis score  /  relationship  /  rural residents  /  Uyghur  /  prospective cohort study
刘听潮, 张示杰, 杨婧, 彭心宇, 马儒林, 郭恒, 张向辉, 何佳, 郭淑霞. 新疆维吾尔族农村居民肝纤维化评分与心血管疾病发病关系前瞻性队列研究. 中国公共卫生, 2025 , 41 (2) : 154 -160 . DOI: 10.11847/zgggws1144530
Tingchao LIU, Shijie ZHANG, Jing YANG, Xinyu PENG, Rulin MA, Heng GUO, Xianghui ZHANG, Jia HE, Shuxia GUO. Associations of liver fibrosis scores with cardiovascular disease incidence among adult rural Uyghurs in Xinjiang Uyghur Autonomous Region: a 6-year prospective follow-up study[J]. Chinese Journal of Public Health, 2025 , 41 (2) : 154 -160 . DOI: 10.11847/zgggws1144530
Year 2025 volume 41 Issue 2
119
52
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Article Info
doi: 10.11847/zgggws1144530
  • Receive Date:2024-03-22
  • Online Date:2026-10-25
  • Published:2025-02-10
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History
  • Received:2024-03-22
  • Revised:2024-08-21
  • Accepted:2024-12-05
Affiliations
    1Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi 832000, China
    2National Health Commission Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi 832000, China
    3Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University Medical School, Shihezi 832000, China

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GUO Shuxia, E-mail:
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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