肝脏放射密度与慢性乙型肝炎肝纤维化程度的关联性分析
DOI: 10.12449/JCH250720
Association between liver radiodensity and the degree of liver fibrosis in patients with chronic hepatitis B
-
摘要:
目的 分析肝脏放射密度与慢性乙型肝炎(CHB)肝纤维化程度及其进展的关联。 方法 采用回顾性队列研究设计,入组2019年1月—12月兰州大学第一医院收治的CHB患者114例,收集实验室检查和腹部CT等临床资料,评估患者代谢特征并测量肝脏放射密度。正态分布的计量资料3组间比较采用方差分析;偏态分布的计量资料3组间比较采用Kruskal-Waills H秩和检验。3组间计数资料的比较使用χ2检验或Fisher确切概率法。使用Logistic回归分析探讨肝纤维化程度的影响因素,使用Cox风险比例模型分析CHB肝纤维化进展的影响因素。 结果 纳入114例患者中非肝硬化43例(37.72%),可疑肝硬化30例(26.32%),肝硬化41例(35.96%);中位随访时间为538.5(322.8~1 031.5) d。肝脏平扫(OR=0.81,95%CI:0.68~0.97,P=0.025)和增强(OR=0.95,95%CI:0.90~0.99,P=0.037)放射密度、肝体积(OR=0.99,95%CI:0.98~0.99,P<0.001)是肝纤维化程度的独立影响因素。单因素Cox回归分析显示,低水平HDL占比(HR=2.81,95%CI:1.04~7.54,P=0.041)与CHB人群肝纤维化的进展有关联,肝纤维化程度、肝脏体积和肝脏放射密度与肝纤维化进展的关联均不显著(P值均>0.05)。 结论 在CHB患者中,肝脏放射密度是肝纤维化程度的独立影响因素,低HDL对肝纤维化进展影响显著。 Abstract:Objective To investigate the association of liver radiodensity with the degree and progression of liver fibrosis in patients with chronic hepatitis B (CHB). Methods A retrospective cohort study was conducted among 114 CHB patients who were hospitalized in The First Hospital of Lanzhou University from January to December 2019, and related clinical data were collected, including laboratory tests and abdominal CT. The metabolic characteristics of the patients were assessed, and liver radiodensity was measured. An analysis of variance was used for comparison of normally distributed continuous data between three groups, and the Kruskal-Wallis H rank sum test was used for comparison of continuous data with skewed distribution between three groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between three groups. A logistic regression analysis was used to investigate the influencing factors for the degree of liver fibrosis, and the Cox proportional-hazards regression model analysis was used to investigate the influencing factors for the progression of liver fibrosis in CHB. Results Among the 114 patients enrolled, 43 (37.72%) had no liver cirrhosis, 30 (26.32%) were suspected of liver cirrhosis, and 41 (35.96%) had liver cirrhosis, with a median follow-up time of 538.5 (322.75 — 1 031.50) days. Liver radiodensity on plain scan (odds ratio [OR]=0.81, 95% confidence interval [CI]: 0.68 — 0.97, P=0.025), liver radiodensity on contrast-enhanced scan (OR=0.95, 95%CI: 0.90 — 0.99, P=0.037), and liver volume (OR=0.99, 95%CI: 0.98 — 0.99, P<0.001) were independent influencing factors for the degree of liver fibrosis. The univariate Cox regression analysis showed that the low level of HDL (hazard ratio=2.81, 95%CI: 1.04 — 7.54, P=0.041) was associated with the progression of liver fibrosis in CHB patients, and the degree of liver fibrosis, liver volume, and liver radiodensity showed no significant association with the progression of liver fibrosis (all P>0.05). Conclusion In CHB patients, liver radiodensity is an independent influencing factor for the degree of liver fibrosis, and low HDL has a marked influence on the progression of liver fibrosis. -
Key words:
- Hepatitis B, Chronic /
- Hepatic Fibrosis /
- Liver Radiodensity
-
表 1 研究人群的基线特征
Table 1. Baseline characteristics of the study population
指标 总计(n=114) APRI分级 统计值 P值 1级(n=43) 2级(n=30) 3级(n=41) 女[例(%)] 32(28.07) 7(16.28) 10(33.33) 15(36.59) χ²=4.84 0.089 年龄(岁) 47.50(41.25~53.00) 46.00(40.00~52.50) 48.00(40.50~54.75) 49.00(45.00~51.00) H=0.51 0.773 肥胖[例(%)] 50(43.86) 24(55.81) 11(36.67) 15(36.59) χ²=4.01 0.135 高血压[例(%)] 24(21.05) 9(20.93) 6(20.00) 9(21.95) χ²=0.04 0.980 高血糖[例(%)] 41(35.96) 19(44.19) 9(30.00) 13(31.71) χ²=2.05 0.359 高TG[例(%)] 11(9.65) 9(20.93) 0(0.00) 2(4.88) 0.006 低HDL[例(%)] 66(57.89) 28(65.12) 17(56.67) 21(51.22) χ²=1.69 0.430 ALT(U/L) 30.00(20.05~43.45) 22.80(17.85~34.00) 28.00(19.97~36.58) 37.00(28.00~62.60) H=17.44 <0.001 AST(U/L) 38.00(26.00~55.60) 26.00(22.00~32.90) 39.35(27.40~45.50) 59.80(43.10~83.50) H=51.28 <0.001 TBil(μmol/L) 26.90(17.92~34.50) 17.90(14.45~31.15) 26.45(22.68~31.62) 31.70(23.80~46.50) H=17.80 <0.001 PLT(×109/L) 56.00(41.25~101.50) 104.00(66.00~147.00) 58.00(44.00~79.50) 41.00(31.00~50.00) H=45.34 <0.001 Alb(g/L) 39.05(32.28~44.40) 43.40(37.65~47.40) 38.65(31.00~42.00) 34.80(30.90~40.10) H=19.46 <0.001 PTA(%) 69.44±12.10 76.12±13.62 65.25±8.55 65.50±9.44 F=12.71 <0.001 肝体积(cm3/m2) 380.25±98.77 429.30±102.03 342.61±95.93 356.35±75.64 F=10.08 <0.001 肝脏HU 增强 97.07±16.04 100.55±17.74 97.47±17.60 93.12±11.95 F=2.32 0.103 平扫 53.17±5.12 54.68±5.07 53.46±4.62 51.37±5.08 F=4.73 0.011 HS[例(%)] 中重度 19(16.67) 5(11.63) 4(13.33) 10(24.39) χ²=2.79 0.248 轻度及以上 90(78.95) 31(72.09) 22(73.33) 37(90.24) χ²=4.93 0.085 MASLD[例(%)] 79(69.30) 30(69.77) 19(63.33) 30(73.17) χ²=0.80 0.672 随访时间(d) 538.50
(322.75~1 031.50)657.00
(380.50~1 057.50)580.50
(323.00~954.75)443.00
(296.00~1 014.00)H=2.28 0.320 表 2 肝脏放射密度和代谢异常与肝纤维化程度之间的关联
Table 2. The association of metabolic dysfunction and hepatic radiodensity with the degree of hepatic fibrosis
指标 单因素分析 多因素分析 OR(95%CI) P值 OR(95%CI) P值 年龄 1.01(0.97~1.06) 0.599 女性 2.97(1.06~8.30) 0.038 3.58(0.93~13.72) 0.063 肥胖 0.46(0.19~1.10) 0.079 高血压 1.06(0.37~3.01) 0.909 高血糖 0.59(0.24~1.43) 0.241 高TG 0.19(0.04~0.96) 0.044 0.13(0.01~1.18) 0.070 低HDL 0.56(0.23~1.35) 0.198 肝体积 0.99(0.99~0.99) 0.001 0.99(0.98~0.99) <0.001 中重度HS 2.45(0.76~7.93) 0.134 轻度及以上HS 3.58(1.05~12.23) 0.042 0.71(0.08~6.34) 0.760 MASLD 1.18(0.46~3.05) 0.730 肝脏HU(平扫) 0.88(0.80~0.96) 0.006 0.81(0.68~0.97) 0.025 肝脏HU(增强) 0.97(0.94~0.99) 0.033 0.95(0.90~0.99) 0.037 表 3 肝脏放射密度和代谢异常对肝纤维化进展的影响
Table 3. Role of liver radiodensity and metabolic dysfunction in the progression of liver fibrosis
指标 HR(95%CI) P值 年龄 0.98(0.94~1.01) 0.201 女性 0.45(0.15~1.32) 0.146 肥胖 0.90(0.40~2.04) 0.808 高血压 0.55(0.16~1.86) 0.337 高血糖 1.40(0.62~3.18) 0.424 高TG 1.33(0.31~5.74) 0.702 低HDL 2.81(1.04~7.54) 0.041 APRI分级 1级 1.00 2级 1.34(0.59~3.04) 0.489 肝体积 1.00(0.99~1.00) 0.478 中重度HS 0.80(0.24~2.69) 0.715 轻度及以上HS 0.94(0.38~2.37) 0.903 MASLD 0.91(0.38~2.18) 0.833 肝脏HU(平扫) 1.04(0.96~1.12) 0.349 肝脏HU(增强) 1.00(0.97~1.02) 0.916 -
[1] ZHOU R, YANG LP, ZHANG BB, et al. Clinical impact of hepatic steatosis on chronic hepatitis B patients in Asia: A systematic review and meta-analysis[J]. J Viral Hepat, 2023, 30( 10): 793- 802. DOI: 10.1111/jvh.13872. [2] WONG YJ, NGUYEN VH, YANG HI, et al. Impact of fatty liver on long-term outcomes in chronic hepatitis B: A systematic review and matched analysis of individual patient data meta-analysis[J]. Clin Mol Hepatol, 2023, 29( 3): 705- 720. DOI: 10.3350/cmh.2023.0004. [3] STAREKOVA J, HERNANDO D, PICKHARDT PJ, et al. Quantification of liver fat content with CT and MRI: State of the art[J]. Radiology, 2021, 301( 2): 250- 262. DOI: 10.1148/radiol.2021204288. [4] WANG M, CHEN HY, MA Y, et al. Dual-layer spectral-detector CT for detecting liver steatosis by using proton density fat fraction as reference[J]. Insights Imaging, 2024, 15( 1): 210. DOI: 10.1186/s13244-024-01716-6. [5] MAO XH, CHEUNG KS, PENG CZ, et al. Steatosis, HBV-related HCC, cirrhosis, and HBsAg seroclearance: A systematic review and meta-analysis[J]. Hepatology, 2023, 77( 5): 1735- 1745. DOI: 10.1002/hep.32792. [6] Chinese Society of Hepatology, Chinese Medical Association; Chinese Society of Infectious Diseases, Chinese Medical Association. Guidelines for the prevention and treatment of chronic hepatitis B[J]. Infect Dis Info, 2023, 36( 1): 1- 17. DOI: 10.3969/j.issn.1007-8134.2023.01.01.中华医学会肝病学分会, 中华医学会感染病学分会. 慢性乙型肝炎防治指南(2022年版)[J]. 传染病信息, 2023, 36( 1): 1- 17. DOI: 10.3969/j.issn.1007-8134.2023.01.01. [7] PICKHARDT PJ, PARK SH, HAHN L, et al. Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: Implications for the investigation of the natural history of incidental steatosis[J]. Eur Radiol, 2012, 22( 5): 1075- 1082. DOI: 10.1007/s00330-011-2349-2. [8] World Health Organization. Guidelines for the prevention, care and treatment of persons with chronic hepatitis B infection[R]. Geneva: WHO, 2015. [9] RINELLA ME, LAZARUS JV, RATZIU V, et al. A multisociety Delphi consensus statement on new fatty liver disease nomenclature[J]. J Hepatol, 2023, 79( 6): 1542- 1556. DOI: 10.1016/j.jhep.2023.06.003. [10] MENDLER MH, BOUILLET P, LE SIDANER A, et al. Dual-energy CT in the diagnosis and quantification of fatty liver: Limited clinical value in comparison to ultrasound scan and single-energy CT, with special reference to iron overload[J]. J Hepatol, 1998, 28( 5): 785- 794. DOI: 10.1016/S0168-8278(98)80228-6. [11] KODAMA Y, NG CS, WU TT, et al. Comparison of CT methods for determining the fat content of the liver[J]. AJR Am J Roentgenol, 2007, 188( 5): 1307- 1312. [12] JOHNSTON R J, STAMM E R, LEWIN J M, et al. Diagnosis of fatty infiltration of the liver on contrast enhanced CT: limitations of liver-minus-spleen attenuation difference measurements[J]. Abdom Imaging, 1998, 23( 4): 409- 415. [13] WANG Y, LIAN F, LI JP, et al. Adipose derived mesenchymal stem cells transplantation via portal vein improves microcirculation and ameliorates liver fibrosis induced by CCl4 in rats[J]. J Transl Med, 2012, 10: 133. DOI: 10.1186/1479-5876-10-133. [14] van BEERS BE, LECONTE I, MATERNE R, et al. Hepatic perfusion parameters in chronic liver disease: Dynamic CT measurements correlated with disease severity[J]. AJR Am J Roentgenol, 2001, 176( 3): 667- 673. DOI: 10.2214/ajr.176.3.1760667. [15] SETO WK, HUI RWH, MAK LY, et al. Association between hepatic steatosis, measured by controlled attenuation parameter, and fibrosis burden in chronic hepatitis B[J]. Clin Gastroenterol Hepatol, 2018, 16( 4): 575- 583. e 2. DOI: 10.1016/j.cgh.2017.09.044. [16] LI J, YANG HI, YEH ML, et al. Association between fatty liver and cirrhosis, hepatocellular carcinoma, and hepatitis B surface antigen seroclearance in chronic hepatitis B[J]. J Infect Dis, 2021, 224( 2): 294- 302. DOI: 10.1093/infdis/jiaa739. [17] CHOI HSJ, BROUWER WP, ZANJIR WMR, et al. Nonalcoholic steatohepatitis is associated with liver-related outcomes and all-cause mortality in chronic hepatitis B[J]. Hepatology, 2020, 71( 2): 539- 548. DOI: 10.1002/hep.30857. [18] KIM MN, HAN K, YOO J, et al. Increased risk of hepatocellular carcinoma and mortality in chronic viral hepatitis with concurrent fatty liver[J]. Aliment Pharmacol Ther, 2022, 55( 1): 97- 107. DOI: 10.1111/apt.16706. [19] ZHANG Y, CHEN P, ZHANG Y, et al. Low high-density lipoprotein cholesterol levels predicting poor outcomes in patients with hepatitis B virus-related acute-on-chronic liver failure[J]. Front Med(Lausanne), 2022, 9: 1001411. DOI: 10.3389/fmed.2022.1001411. [20] TRIEB M, HORVATH A, BIRNER-GRUENBERGER R, et al. Liver disease alters high-density lipoprotein composition, metabolism and function[J]. Biochim Biophys Acta, 2016, 1861( 7): 630- 638. DOI: 10.1016/j.bbalip.2016.04.013. [21] TRIEB M, RAINER F, STADLBAUER V, et al. HDL-related biomarkers are robust predictors of survival in patients with chronic liver failure[J]. J Hepatol, 2020, 73( 1): 113- 120. DOI: 10.1016/j.jhep.2020.01.026. [22] CHAN KE, NG CH, FU CE, et al. The spectrum and impact of metabolic dysfunction in MAFLD: A longitudinal cohort analysis of 32, 683 overweight and obese individuals[J]. Clin Gastroenterol Hepatol, 2023, 21( 10): 2560- 2569. e 15. DOI: 10.1016/j.cgh.2022.09.028. -

PDF下载 ( 838 KB)
下载:
