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评估肥胖相关指标对非酒精性脂肪肝的筛查价值

李婧 李小凤 闫妮 刘玲娇

李婧, 李小凤, 闫妮, 刘玲娇. 评估肥胖相关指标对非酒精性脂肪肝的筛查价值[J]. 中华全科医学, 2023, 21(2): 195-198. doi: 10.16766/j.cnki.issn.1674-4152.002843
引用本文: 李婧, 李小凤, 闫妮, 刘玲娇. 评估肥胖相关指标对非酒精性脂肪肝的筛查价值[J]. 中华全科医学, 2023, 21(2): 195-198. doi: 10.16766/j.cnki.issn.1674-4152.002843
LI Jing, LI Xiao-feng, YAN Ni, LIU Ling-jiao. Evaluation the screening value of obesity-related indices for non-alcoholic fatty liver disease[J]. Chinese Journal of General Practice, 2023, 21(2): 195-198. doi: 10.16766/j.cnki.issn.1674-4152.002843
Citation: LI Jing, LI Xiao-feng, YAN Ni, LIU Ling-jiao. Evaluation the screening value of obesity-related indices for non-alcoholic fatty liver disease[J]. Chinese Journal of General Practice, 2023, 21(2): 195-198. doi: 10.16766/j.cnki.issn.1674-4152.002843

评估肥胖相关指标对非酒精性脂肪肝的筛查价值

doi: 10.16766/j.cnki.issn.1674-4152.002843
基金项目: 

国家自然科学基金项目 81700735

详细信息
    通讯作者:

    刘玲娇,E-mail:jorlin2008@163.com

  • 中图分类号: R575.5

Evaluation the screening value of obesity-related indices for non-alcoholic fatty liver disease

  • 摘要:   目的  探讨筛查中老年人非酒精性脂肪肝(NAFLD)的最佳肥胖相关指标。  方法  本项横断面研究筛选了2019年1—3月在陕西省人民医院健康管理中心参加体检的40岁及以上受试者1 281人,进行病史采集、体格检查及实验室检查,所有受试者均接受腹部B超检查。应用logistic回归分析研究各肥胖指标与NAFLD患病风险的相关性,采用ROC曲线评估肥胖指标对NAFLD患病风险的筛查价值。  结果  在1 281例受试者中,335例诊断为NAFLD,NAFLD的患病率为26.15%。NAFLD组的血压、甘油三酯、总胆固醇、低密度脂蛋白胆固醇、转氨酶、空腹血糖、空腹胰岛素、稳态模型估计的胰岛素抵抗指数、糖化血红蛋白、腰围、腰臀比、BMI、脂质蓄积指数(LAP)均明显升高,高密度脂蛋白胆固醇降低。Logistic回归分析显示,在校正了相关混杂因素后,腰围、腰臀比、BMI、LAP均与NAFLD的患病风险相关。其中LAP与NAFLD的相关性最强,与处于LAP第一分位的受试者相比,处于LAP第四分位的受试者NAFLD的患病风险显著增加(OR=18.055,95% CI: 7.683~42.427,P < 0.001)。4个肥胖相关指标的AUC均>0.7,表明4个肥胖相关指标均对NAFLD有较高的筛查价值。不论男性还是女性,LAP对NAFLD的筛查价值均最高,男性AUC为85.34(95% CI: 81.78~88.90),女性AUC为80.22(95% CI: 76.95~83.48)。  结论  LAP与NAFLD的患病风险密切相关,可能是筛查中老年人NAFLD的有效工具。

     

  • 表  1  NAFLD组和非NAFLD组体检人群基线指标比较

    Table  1.   Comparison of baseline indexes between the NAFLD group and the non-NAFLD group

    项目 非NAFLD组
    (n=946)
    NAFLD组
    (n=335)
    统计量 P
    年龄(x±s, 岁) 58.6±10.5 57.2±8.9 2.244a 0.025
    性别(男/女, 例) 330/616 128/207 1.191b 0.275
    吸烟[例(%)] 187(19.8) 81(24.2) 2.910b 0.088
    饮酒[例(%)] 23(2.4) 15(4.5) 3.599b 0.058
    SBP(x±s, mm Hg) 139.4±19.6 146.5±18.4 5.724a < 0.001
    DBP(x±s, mm Hg) 80.5±10.1 85.2±10.8 7.157a < 0.001
    ALT[M(P25, P75), U/L] 17.8(14.2, 24.3) 25.7(19.2, 35.5) 11.343c < 0.001
    AST[M(P25, P75), U/L] 23.0(19.7, 26.9) 23.9(20.1, 30.1) 2.883c 0.004
    GGT[M(P25, P75), U/L] 17.0(13.0, 26.0) 30.0(21.0, 44.0) 13.186c < 0.001
    TG[M(P25, P75), mmol/L] 1.1(0.9, 1.6) 1.8(1.2, 2.6) 12.325c < 0.001
    TC(x±s, mmol/L) 5.3±1.0 5.6±1.3 4.737a < 0.001
    HDL-C(x±s, mmol/L) 1.4±0.3 1.2±0.3 8.876a < 0.001
    LDL-C(x±s, mmol/L) 3.1±0.8 3.2±0.9 3.564a < 0.001
    糖化血红蛋白(x±s, %) 5.7±0.8 6.1±1.1 7.542a < 0.001
    FBG(x±s, mmol/L) 5.4±1.6 6.1±2.1 6.221a < 0.001
    FINS[M(P25, P75), mIU/L] 3.0(1.4, 5.2) 6.5(4.0, 9.9) 14.687c < 0.001
    HOMA-IR[M(P25, P75)] 0.7(0.3, 1.2) 1.7(1.0, 2.7) 15.368c < 0.001
    WC(x±s, cm) 78.3±7.9 87.5±7.4 18.480a < 0.001
    WHR(x±s) 0.86±0.06 0.91±0.05 15.213a < 0.001
    BMI(x±s) 24.4±2.8 27.7±2.8 18.153a < 0.001
    LAP[M(P25, P75)] 20.4(12.3, 32.1) 47.7(32.0, 71.1) 16.089c < 0.001
    注:at值,b为χ2值,cZ值。1 mm Hg=0.133 kPa。
    下载: 导出CSV

    表  2  受试者各肥胖指标与NAFLD患病风险的logistic回归分析

    Table  2.   Logistic regression analysis of obesity index and risk of NAFLD

    变量 NAFLD
    [例(%)]
    B SE Wald χ2 P OR(95% CI)
    WHR
      Q2 49(15.3) 1.083 0.383 7.998 0.005 2.953(1.394~6.255)
      Q3 83(27.9) 1.796 0.371 23.479 < 0.001 6.026(2.914~12.460)
      Q4 193(56.4) 2.702 0.366 54.399 < 0.001 14.904(7.269~30.555)
    腰臀比
      Q2 51(15.7) 0.754 0.331 5.178 0.023 2.125(1.110~4.068)
      Q3 101(31.8) 1.735 0.313 30.780 < 0.001 5.668(3.071~10.463)
      Q4 168(53.0) 2.293 0.320 51.503 < 0.001 9.904(5.295~18.526)
    BMI
      Q2 43(13.3) 0.735 0.340 4.663 0.031 2.085(1.070~4.061)
      Q3 95(29.7) 1.609 0.319 25.403 < 0.001 4.999(2.674~9.347)
      Q4 179(56.3) 2.287 0.319 51.239 < 0.001 9.843(5.263~18.410)
    LAP
      Q2 43(13.4) 1.319 0.396 11.099 0.001 3.741(1.721~8.130)
      Q3 98(30.7) 2.013 0.395 25.991 < 0.001 7.488(3.453~16.237)
      Q4 185(57.8) 2.893 0.436 44.058 < 0.001 18.055(7.683~42.427)
    注:均以Q1为对照。
    下载: 导出CSV

    表  3  不同性别受试者各个肥胖指标筛查NAFLD患病风险的ROC曲线的结果分析

    Table  3.   Analysis of ROC curves for the risk of NAFLD in subjects of different genders for each obesity index

    变量 AUC(95% CI) 截点值 灵敏度 特异度 约登指数
    总人群
      WC 80.32(77.68~82.96) 81.75 0.805 0.679 0.483
      WHR 76.65(73.79~79.51) 0.87 0.796 0.603 0.399
      BMI 79.17(76.43~81.90) 26.01 0.718 0.721 0.439
      LAP 82.13(79.70~84.56) 33.90 0.730 0.775 0.505
    男性
      WC 82.24(78.34~86.13) 82.75 0.913 0.581 0.494
      WHR 79.56(75.37~83.74) 0.91 0.803 0.663 0.466
      BMI 80.53(76.21~84.85) 25.86 0.780 0.696 0.476
      LAP 85.34(81.78~88.90) 32.99 0.780 0.827 0.607
    女性
      WC 79.96(76.55~83.37) 80.75 0.757 0.711 0.468
      WHR 77.06(73.48~80.65) 0.86 0.777 0.646 0.423
      BMI 78.32(74.78~81.86) 26.03 0.694 0.731 0.425
      LAP 80.22(76.95~83.48) 35.46 0.704 0.766 0.470
    下载: 导出CSV
  • [1] FERKY B, RIBAS A, BAUMGARTNER C, et al. Incompatibility of the circadian protein BMAL1 and HNF4α in hepatocellular carcinoma[J]. Nat Commun, 2018, 9(1): 4349. doi: 10.1038/s41467-018-06648-6
    [2] KWASNICKA D, NTOUMANIS N, HUNT K, et al. A gender-sensitised weight-loss and healthy living program for men with overweight and obesity in Australian Football League settings (Aussie-FIT): a pilot randomised controlled trial[J]. PLoS Med, 2020, 17(8): e1003136. DOI: 10.1371/journal.pmed.1003136.
    [3] POLYZOS S, KOUNTOURAS J, MANTZOROS C. Obesity and nonalcoholic fatty liver disease: from pathophysiology to therapeutics[J]. Metabolism, 2019, 92: 82-97. doi: 10.1016/j.metabol.2018.11.014
    [4] LEE S W, SON J Y, KIM J M, et al. Body fat distribution is more predictive of all-cause mortality than overall adiposity[J]. Diabetes Obes Metab, 2018, 20(1): 141-147. doi: 10.1111/dom.13050
    [5] KAHN H. The lipid accumulation product is better than BMI for identifying diabetes: a population-based comparison[J]. Diabetes Care, 2006, 29(1): 151-153. doi: 10.2337/diacare.29.01.06.dc05-1805
    [6] 孙亮亮, 谢虹, 张艳芳, 等. 蚌埠市某地区成人脂质蓄积指数与糖尿病患病风险关系的研究[J]. 中华全科医学, 2019, 17(7): 1204-1208. doi: 10.16766/j.cnki.issn.1674-4152.000902

    SUN L L, XIE H, ZHANG Y F, et al. Relationship between lipid accumulation product and the risk of diabetes in adults of a region of Bengbu[J]. Chinese Journal of General Practice, 2019, 17(7): 1204-1208. doi: 10.16766/j.cnki.issn.1674-4152.000902
    [7] DATTA S, PACHECO E, LUGO R, et al. Evaluation of anthropometric indices and lipid parameters to predict metabolic syndrome among adults in Mexico[J]. Diabetes Metab Syndr Obes, 2021, 14: 691-701. doi: 10.2147/DMSO.S281894
    [8] KYROU I, PANAGIOTAKOS D B, KOULI G M, et al. Lipid accumulation product in relation to 10-year cardiovascular disease incidence in Caucasian adults: the ATTICA study[J]. Atherosclerosis, 2018, 279: 10-16. doi: 10.1016/j.atherosclerosis.2018.10.015
    [9] MASTROMAURO C, POLIDORI N, GIANNINI C. Metabolic dysfunction-associated fatty liver disease in obese youth with insulin resistance and type 2 diabetes[J]. Curr Opin Pediatr, 2022, 34(4): 414-422. doi: 10.1097/MOP.0000000000001138
    [10] 中华医学会肝病学分会脂肪肝和酒精性肝病学组. 非酒精性脂肪性肝病诊疗指南(2010年修订版)[J]. 中华肝脏病杂志, 2010, 18(3): 163-166. https://www.cnki.com.cn/Article/CJFDTOTAL-YXQY201207005.htm

    Fatty liver and alcoholic liver disease group, Chinese Association of Hepatology. Guidelines for management of nonalcoholic fatty liver disease: an updated and revised edition[J]. Chinese Journal of Hepatology, 2010, 18(3): 163-166. https://www.cnki.com.cn/Article/CJFDTOTAL-YXQY201207005.htm
    [11] LI J, ZOU B, YEO Y H, et al. Prevalence, incidence, and outcome of non-alcoholic fatty liver disease in Asia, 1999-2019: a systematic review and meta-analysis[J]. Lancet Gastroenterol Hepatol, 2019, 4(5): 389-398. doi: 10.1016/S2468-1253(19)30039-1
    [12] DONINI L M, PINTO A, GIUSTI A M, et al. Obesity or BMI paradox? Beneath the tip of the iceberg[J]. Front Nutr, 2020, 7: 53. doi: 10.3389/fnut.2020.00053
    [13] ZHOU W, SHAN N C, WEI J, et al. Cross-sectional and longitudinal associations between lipid accumulati on product and hyperuricemia[J]. Nutr Metab Cardiovasc Dis, 2022, 32(10): 2348-2355. doi: 10.1016/j.numecd.2022.06.022
    [14] LIN I T, LEE M Y, WANG C W, et al. Gender differences in the relationships among metabolic syndrome and various obesity-related indices with nonalcoholic fatty liver disease in a Taiwanese population[J]. Int J Environ Res Public Health, 2021, 18(3): 857. doi: 10.3390/ijerph18030857
    [15] ZHANG Y, LI B, LIU N, et al. Evaluation of different anthropometric indicators for screening for no nalcoholic fatty liver disease in elderly individuals[J]. Int J Endocrinol, 2021, 2021: 6678755. DOI: 10.1155/2021/6678755.
    [16] PALMA R, PRONIO A, ROMEO M, et al. The role of insulin resistance in fueling NAFLD pathogenesis: from molecular mechanisms to clinical implications[J]. J Clin Med, 2022, 11(13): 3649. doi: 10.3390/jcm11133649
    [17] COBOS P, RUIZ M, VILCHES A, et al. Metabolically healthy obesity: inflammatory biomarkers and adipokines in elderly population[J]. PLoS One, 2022, 17(6): e0265362. DOI: 10.1371/journal.pone.0265362.
    [18] ANTRACO V, HIRATA B, CRUZ M, et al. Omega-3 polyunsaturated fatty acids prevent nonalcoholic steatohepatit is (NASH) and stimulate adipogenesis[J]. Nutrients, 2021, 13(2): 622. doi: 10.3390/nu13020622
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  • 收稿日期:  2022-07-13
  • 网络出版日期:  2023-04-20

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