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内脏脂肪相关指数与急性胰腺炎严重程度的关系

黄河铭 杨慧莹 覃颖颖 唐国都

引用本文:
Citation:

内脏脂肪相关指数与急性胰腺炎严重程度的关系

DOI: 10.3969/j.issn.1001-5256.2022.10.021
基金项目: 

国家自然科学基金 (81970558);

广西自然科学基金 (2018GXNSFBA281078)

伦理学声明:本研究方案于2022年2月25日经由广西医科大学第一附属医院医学伦理委员会审批通过,批号:2022-KY-E-(053)。
利益冲突声明:本研究不存在研究者、伦理委员会成员、受试者监护人以及与公开研究成果有关的利益冲突。
作者贡献声明:黄河铭负责课题设计,数据收集整理分析,撰写论文;杨慧莹、覃颖颖负责审阅、修改论文;唐国都负责指导写作思路及最后定稿。
详细信息
    通信作者:

    唐国都,tguodu02@126.com

Relationship between visceral fat related index and the severity of acute pancreatitis

Research funding: 

National Natural Science Foundation of China (81970558);

Natural Science Foundation of Guangxi Province (2018GXNSFBA281078)

More Information
    Corresponding author: TANG Guodu, tguodu02@126.com(ORCID: 0000-0002-2849-3244)
  • 摘要:   目的  探讨内脏脂肪相关指数与急性胰腺炎(AP)严重程度之间的关系。  方法  选取2014年9月—2021年10月于广西医科大学第一附属医院住院的308例诊断为AP的患者作为研究对象,按AP分级诊断标准将其分为轻症急性胰腺炎(MAP)(n=186)、中度重症急性胰腺炎(MSAP)(n=60)和重症急性胰腺炎(SAP)(n=62),通过收集腰围、身高、体质量、血脂、生化等指标对比它们在年龄、住院费用及天数、评分系统和人体测量学指标等方面的差异。符合正态分布且方差齐性的计量资料组间比较采用单因素方差分析,方差不齐的组间及组内两两比较均采用Kruskal-Wallis H检验检验;不符合正态分布的计量资料组间及组内两两比较均采用Kruskal-Wallis H检验。分类资料和计数资料组间比较采用Kruskal-Wallis H检验。采用Spearman秩相关分析方法对各指标与AP的严重程度进行相关性分析;对各指标构建受试者工作特征曲线,并计算曲线下面积(AUC),比较AUC大小;用单因素及多因素Logistic回归分析方法找出MSAP和SAP发生的独立危险因素。  结果  住院费用及天数、TG、HDL-C、NLR、WBC、Alb、Cr、BUN、SIRS、BISAP、MEWS、Glasgow、PANC-3在3组间的差异均有统计学意义(P值均<0.05)。进一步两两比较发现,与MAP组相比,MSAP和SAP组的CMI、LAP、WTI、CVAI明显升高,差异均有统计学意义(P值均<0.05)。在相关性分析中,CMI与AP严重程度之间有一定相关性(r=0.352,P<0.001)。通过对各AUC大小的比较发现,CMI对预测MSAP和SAP发生的效能最大(AUC=0.708,95%CI:0.651~0.765,P<0.001)。单因素Logistic回归分析显示CMI、LAP、WTI、CVAI、WC是MSAP和SAP发生的危险因素(P值均<0.05),校正混杂因素后,CMI、CVAI是MSAP和SAP发生的独立危险因素(OR值分别为3.740、2.380, 95%CI分别为1.983~7.056、1.110~5.104,P值均<0.05)。  结论  内脏脂肪与AP病情严重程度有关;在4个内脏脂肪相关指数中(CMI、LAP、WTI、CVAI),以心脏代谢指数(CMI)在预测AP病情严重程度方面的价值最大,优于其他指数,两者呈正相关;CMI是MSAP和SAP发生的独立危险因素,或可作为预测和评估AP病情严重程度的潜在参考指标。

     

  • 图  1  腰围测量方法示意图

    Figure  1.  Schematic diagram of the waist circumference measurement method

    图  2  各指标预测MSAP和SAP的ROC曲线

    Figure  2.  ROC curves of MSAP and SAP predicted by each index

    表  1  AP患者一般临床资料比较

    Table  1.   Comparison of the general clinical data of the patients with acute pancreatitis

    指标 MAP(n=186) MSAP(n=60) SAP(n=62) 统计值 P
    性别[例(%)] H=0.458 0.795
      男 149(80.11) 48(80.00) 52(83.87)
      女 37(19.89) 12(20.00) 10(16.13)
    年龄(岁) 45.23±13.86 43.68±12.68 47.45±14.32 F=1.175 0.310
    病因[例(%)] H=1.240 0.538
      胆源性 57(30.65) 9(15.00) 17(27.42)
      脂源性 53(28.49) 25(41.67) 18(29.03)
      酒精性 39(20.97) 13(21.67) 15(24.19)
      混合性 12(6.45) 10(16.67) 7(11.29)
      特发性 25(13.44) 3(5.00) 5(8.06)
    住院费用(元) 12 057.06(7 768.13~20 279.21) 18 876.74(12 363.16~25 504.49)1) 47 561.88(29 534.51~82 790.38)1)2) H=94.670 <0.001
    住院天数(d) 7.00(6.00~10.00) 10.00(8.00~13.00)1) 14.00(11.00~23.25)1)2) H=77.033 <0.001
    注:与MAP组比较,1)P<0.05;与MSAP组比较,2)P<0.05。
    下载: 导出CSV

    表  2  不同严重程度AP患者之间实验室指标、评分系统和人体测量学指标的比较

    Table  2.   Comparison of laboratory indicators, scoring systems, and anthropometric indexes among patients with different severity of acute pancreatitis

    项目 MAP(n=186) MSAP(n=60) SAP(n=62) 统计值 P
    实验室指标
      TG(mmol/L) 1.90(0.91~5.05) 3.65(2.07~9.69)1) 4.15(1.81~7.30)1) H=24.012 <0.001
      HDL-C(mmol/L) 1.06(0.81~1.34) 0.99(0.64~1.29) 0.72(0.45~1.11)1)2) H=24.568 <0.001
      TC(mmol/L) 5.20(4.09~7.12) 6.24(4.37~9.45) 5.15(3.48~7.49) H=5.691 0.058
      NLR 6.71(3.98~10.61) 8.80(6.43~11.98) 11.11(6.09~17.83)1) H=18.262 <0.001
      WBC(×109/L) 11.74±4.33 12.58±4.50 14.53±5.491) F=12.509 0.002
      Alb(g/L) 41.00±5.36 37.48±6.491) 35.02±7.131) F=40.855 <0.001
      Cr(μmol/L) 69.50(55.75~82.00) 68.50(56.50~83.00) 79.50(59.75~179.25)1)2) H=11.585 0.003
      BUN(mmol/L) 4.21(3.34~5.65) 4.15(3.25~5.34) 5.38(3.95~10.01)1)2) H=19.875 <0.001
    评分系统(分)
      SIRS 1.00(0~2.00) 1.00(1.00~2.00) 2.00(1.00~3.00)1)2) H=28.707 <0.001
      BISAP 0(0~1.00) 1.00(0~2.00)1) 2.00(1.00~3.00)1)2) H=69.555 <0.001
      MEWS 1.00(1.00~2.00) 1.00(1.00~2.00) 3.00(2.00~5.25)1)2) H=64.019 <0.001
      Glasgow 1.00(0~1.00) 1.00(1.00~2.00)1) 2.00(1.00~4.00)1)2) H=82.956 <0.001
      PANC-3 1.00(0~1.00) 1.00(1.00~1.00)1) 1.00(1.00~1.00)1) H=24.835 <0.001
    内脏脂肪相关指数
      CMI 1.13(0.38~2.54) 2.29(1.12~4.71)1) 3.33(1.39~8.06)1) H=39.830 <0.001
      LAP(cm·mmol/L) 46.21(15.22~133.73) 100.81(46.35~238.70)1) 96.96(38.80~197.96)1) H=19.207 <0.001
      WTI(cm·mmol/L) 175.86(72.19~457.33) 319.49(183.33~803.15)1) 366.55(149.46~677.31)1) H=22.852 <0.001
      CVAI 98.15±46.92 111.24±32.11 116.80±37.531) F=9.687 0.008
    传统肥胖测量指数
      BMI(kg/m2) 24.57±5.50 25.54±3.16 25.77±4.40 F=2.107 0.349
      WC(cm) 84.14±16.11 87.48±7.20 87.70±8.61 F=4.409 0.110
    注:与MAP组比较,1)P<0.05;与MSAP组比较,2)P<0.05。
    下载: 导出CSV

    表  3  人体测量学指标、实验室指标与非轻症急性胰腺炎的相关性分析

    Table  3.   Correlation analysis of anthropometric indexes, laboratory indicators with non-mild acute pancreatitis patients

    指数 r P
    CMI 0.352 <0.001
    LAP 0.249 <0.001
    WTI 0.272 <0.001
    CVAI 0.175 0.002
    BMI 0.083 0.147
    WC 0.120 0.036
    TG 0.279 <0.001
    HDL-C -0.224 <0.001
    TC 0.058 0.312
    NLR 0.232 <0.001
    WBC 0.172 0.002
    Alb -0.351 <0.001
    Cr 0.135 0.018
    BUN 0.140 0.014
    下载: 导出CSV

    表  4  各指标对非轻症急性胰腺炎预测能力的比较

    Table  4.   Comparison of predictive ability of each index for non-mild acute pancreatitis

    指标 AUC 95%CI P
    CMI 0.708 0.651~0.765 <0.001
    LAP 0.647 0.586~0.708 <0.001
    WTI 0.661 0.601~0.720 <0.001
    CVAI 0.603 0.541~0.666 0.002
    BMI 0.549 0.485~0.613 0.147
    WC 0.571 0.507~0.634 0.036
    TG 0.665 0.605~0.724 <0.001
    HDL-C 0.368 0.302~0.434 <0.001
    TC 0.534 0.466~0.602 0.311
    NLR 0.637 0, 575~0.699 <0.001
    WBC 0.601 0.536~0.666 0.003
    Alb 0.293 0.231~0.355 <0.001
    Cr 0.579 0.512~0.647 0.018
    BUN 0.583 0.517~0.649 0.014
    下载: 导出CSV

    表  5  非轻症急性胰腺炎危险因素的单因素Logistic回归分析

    Table  5.   Univariable logistic regression analysis of the risk factors in the non-mild acute pancreatitis

    指标 OR 95%CI P
    CMI 1.086 1.032~1.143 0.002
    LAP 1.002 1.000~1.003 0.008
    WTI 1.001 1.000~1.001 0.004
    CVAI 1.009 1.003~1.015 0.002
    WC 1.023 1.002~1.044 0.034
    下载: 导出CSV

    表  6  非轻症急性胰腺炎危险因素的多因素Logistic回归分析

    Table  6.   Multivariable logistic regression analysis of the risk factors in the non-mild acute pancreatitis

    指标 OR 95%CI P
    CMI(≥0.801 = 1, <0.801=0) 3.740 1.983~7.056 <0.001
    CVAI(≥79.633=1, <79.633=0) 2.380 1.110~5.104 0.026
    下载: 导出CSV
  • [1] LEE PJ, PAPACHRISTOU GI. New insights into acute pancreatitis[J]. Nat Rev Gastroenterol Hepatol, 2019, 16(8): 479-496. DOI: 10.1038/s41575-019-0158-2.
    [2] LANKISCH PG, APTE M, BANKS PA. Acute pancreatitis[J]. Lancet, 2015, 386(9988): 85-96. DOI: 10.1016/S0140-6736(14)60649-8.
    [3] ZHOU H, MEI X, HE X, et al. Severity stratification and prognostic prediction of patients with acute pancreatitis at early phase: A retrospective study[J]. Medicine (Baltimore), 2019, 98(16): e15275. DOI: 10.1097/MD.0000000000015275.
    [4] KONG W, HE Y, BAO H, et al. Diagnostic value of neutrophil-lymphocyte ratio for predicting the severity of acute pancreatitis: A meta-analysis[J]. Dis Markers, 2020, 2020: 9731854. DOI: 10.1155/2020/9731854.
    [5] LI M, XING XK, LU ZH, et al. Comparison of scoring systems in predicting severity and prognosis of hypertriglyceridemia-induced acute pancreatitis[J]. Dig Dis Sci, 2020, 65(4): 1206-1211. DOI: 10.1007/s10620-019-05827-9.
    [6] UNAMUNO X, GÓMEZ-AMBROSI J, RODRÍGUEZ A, et al. Adipokine dysregulation and adipose tissue inflammation in human obesity[J]. Eur J Clin Invest, 2018, 48(9): e12997. DOI: 10.1111/eci.12997.
    [7] CHEN SM, XIONG GS, WU SM. Is obesity an indicator of complications and mortality in acute pancreatitis? An updated meta-analysis[J]. J Dig Dis, 2012, 13(5): 244-251. DOI: 10.1111/j.1751-2980.2012.00587.x.
    [8] WAKABAYASHI I, DAIMON T. The "cardiometabolic index" as a new marker determined by adiposity and blood lipids for discrimination of diabetes mellitus[J]. Clin Chim Acta, 2015, 438: 274-278. DOI: 10.1016/j.cca.2014.08.042.
    [9] BANKS PA, BOLLEN TL, DERVENIS C, et al. Classification of acute pancreatitis--2012: revision of the Atlanta classification and definitions by international consensus[J]. Gut, 2013, 62(1): 102-111. DOI: 10.1136/gutjnl-2012-302779.
    [10] SINGH RG, CERVANTES A, KIM JU, et al. Intrapancreatic fat deposition and visceral fat volume are associated with the presence of diabetes after acute pancreatitis[J]. Am J Physiol Gastrointest Liver Physiol, 2019, 316(6): G806-G815. DOI: 10.1152/ajpgi.00385.2018.
    [11] PITT HA. Hepato-pancreato-biliary fat: the good, the bad and the ugly[J]. HPB (Oxford), 2007, 9(2): 92-97. DOI: 10.1080/13651820701286177.
    [12] FAIN JN, MADAN AK, HILER ML, et al. Comparison of the release of adipokines by adipose tissue, adipose tissue matrix, and adipocytes from visceral and subcutaneous abdominal adipose tissues of obese humans[J]. Endocrinology, 2004, 145(5): 2273-2282. DOI: 10.1210/en.2003-1336.
    [13] WANG C. Obesity, inflammation, and lung injury (OILI): the good[J]. Mediators Inflamm, 2014, 2014: 978463.
    [14] NATU A, STEVENS T, KANG L, et al. Visceral adiposity predicts severity of acute pancreatitis[J]. Pancreas, 2017, 46(6): 776-781. DOI: 10.1097/MPA.0000000000000845.
    [15] PATEL K, TRIVEDI RN, DURGAMPUDI C, et al. Lipolysis of visceral adipocyte triglyceride by pancreatic lipases converts mild acute pancreatitis to severe pancreatitis independent of necrosis and inflammation[J]. Am J Pathol, 2015, 185(3): 808-819. DOI: 10.1016/j.ajpath.2014.11.019.
    [16] KATUCHOVA J, BOBER J, HARBULAK P, et al. Obesity as a risk factor for severe acute pancreatitis patients[J]. Wien Klin Wochenschr, 2014, 126(7-8): 223-227. DOI: 10.1007/s00508-014-0507-7
    [17] SADR-AZODI O, ORSINI N, ANDRÉN-SANDBERG Å, et al. Abdominal and total adiposity and the risk of acute pancreatitis: a population-based prospective cohort study[J]. Am J Gastroenterol, 2013, 108(1): 133-139. DOI: 10.1038/ajg.2012.381.
    [18] CHEN L, HUANG Y, YU H, et al. The association of parameters of body composition and laboratory markers with the severity of hypertriglyceridemia-induced pancreatitis[J]. Lipids Health Dis, 2021, 20(1): 9. DOI: 10.1186/s12944-021-01443-7
    [19] YOON SB, CHOI MH, LEE IS, et al. Impact of body fat and muscle distribution on severity of acute pancreatitis[J]. Pancreatology, 2017, 17(2): 188-193. DOI: 10.1016/j.pan.2017.02.002
    [20] FANG H, BERG E, CHENG X, et al. How to best assess abdominal obesity[J]. Curr Opin Clin Nutr Metab Care, 2018, 21(5): 360-365. DOI: 10.1097/MCO.0000000000000485
    [21] O'LEARY DP, O'NEILL D, MCLAUGHLIN P, et al. Effects of abdominal fat distribution parameters on severity of acute pancreatitis[J]. World J Surg, 2012, 36(7): 1679-1685. DOI: 10.1007/s00268-011-1414-y.
    [22] BORKAN GA, GERZOF SG, ROBBINS AH, et al. Assessment of abdominal fat content by computed tomography[J]. Am J Clin Nutr, 1982, 36(1): 172-177. DOI: 10.1093/ajcn/36.1.172.
    [23] LEE SJ, JANSSEN I, HEYMSFIELD SB, et al. Relation between whole-body and regional measures of human skeletal muscle[J]. Am J Clin Nutr, 2004, 80(5): 1215-1221. DOI: 10.1093/ajcn/80.5.1215.
    [24] MADICO C, HERPE G, VESSELLE G, et al. Intra peritoneal abdominal fat area measured from computed tomography is an independent factor of severe acute pancreatitis[J]. Diagn Interv Imaging, 2019, 100(7-8): 421-426. DOI: 10.1016/j.diii.2019.03.008.
    [25] DUARTE-ROJO A, SOSA-LOZANO LA, SAU'L A, et al. Methods for measuring abdominal obesity in the prediction of severe acute pancreatitis, and their correlation with abdominal fat areas assessed by computed tomography[J]. Aliment Pharmacol Ther, 2010, 32(2): 244-253. DOI: 10.1111/j.1365-2036.2010.04321.x.
    [26] AMATO MC, GIORDANO C, GALIA M, et al. Visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk[J]. Diabetes Care, 2010, 33(4): 920-922. DOI: 10.2337/dc09-1825.
    [27] KAHN HS. The "lipid accumulation product" performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison[J]. BMC Cardiovasc Disord, 2005, 5: 26. DOI: 10.1186/1471-2261-5-26.
    [28] LEMIEUX I, PASCOT A, COUILLARD C, et al. Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men?[J]. Circulation, 2000, 102(2): 179-184. DOI: 10.1161/01.cir.102.2.179.
    [29] XIA MF, CHEN Y, LIN HD, et al. A indicator of visceral adipose dysfunction to evaluate metabolic health in adult Chinese[J]. Sci Rep, 2016, 6: 38214. DOI: 10.1038/srep38214.
    [30] XIA W, YU H, HUANG Y, et al. The visceral adiposity index predicts the severity of hyperlipidaemic acute pancreatitis[J]. Intern Emerg Med, 2022, 17(2): 417-422. DOI: 10.1007/s11739-021-02819-4.
    [31] DING Y, ZHANG M, WANG L, et al. Association of the hypertriglyceridemic waist phenotype and severity of acute pancreatitis[J]. Lipids Health Dis, 2019, 18(1): 93. DOI: 10.1186/s12944-019-1019-2.
    [32] BEYDOGAN E, GULLE S, GEZER C, et al. Effect of abdominal fat distribution on severity of acute pancreatitis[J]. Clin Exp Hepatol, 2021, 7(3): 264-269. DOI: 10.5114/ceh.2021.109345
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