乳酸水平对HBV相关慢加急性肝衰竭患者短期预后的预测价值

杨烁; 刘坤; 杨兰; 徐玲; 鲁晓擘; 孙晓风; 玛力帕提·艾尔肯江

doi:10.3969/j.issn.1001-5256.2022.07.007

乳酸水平对HBV相关慢加急性肝衰竭患者短期预后的预测价值

DOI: 10.3969/j.issn.1001-5256.2022.07.007

杨烁^1a,
刘坤^1b,
杨兰^1b,
徐玲^1b,
鲁晓擘^{1a, 2},
孙晓风^{1a, 2, , ,},
玛力帕提·艾尔肯江^1b

1a.
新疆医科大学第一附属医院感染病·肝病一科，乌鲁木齐 830000
1b.
新疆医科大学第一临床医学院，乌鲁木齐 830000
2.
新疆感染性疾病(病毒性肝炎)临床医学研究中心，乌鲁木齐 830000

基金项目:

国家自然科学基金 (82060115)

伦理学声明：本研究于2021年10月27日经由新疆医科大学第一附属医院伦理委员会审批，批号：K202110-06。

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：孙晓风、鲁晓擘负责课题设计；杨烁、刘坤、杨兰、徐玲负责资料分析与撰写论文；杨烁、刘坤、杨兰、徐玲、孙晓风、玛力帕提·艾尔肯江参与收集数据与修改论文；孙晓风、鲁晓擘负责拟定写作思路，指导撰写文章并最后定稿。

详细信息

通信作者:
孙晓风，xjwlsxf@163.com

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出版历程
- 收稿日期: 2021-12-06
- 录用日期: 2022-01-22
- 出版日期: 2022-07-20

Value of lactate level in predicting the short-term prognosis of patients with acute-on-chronic hepatitis B liver failure

Shuo YANG^1a,
Kun LIU^1b,
Lan YANG^1b,
Ling XU^1b,
Xiaobo LU^{1a, 2},
Xiaofeng SUN^{1a, 2
, ,
,},
MALIPATI Elkenjiang^1b

1a.
Center for Infectious Diseases-Hepatology of The First Affiliated Hospital, Xinjiang Medical University, Urumqi 830000, China
1b.
The First Clinical Medical College, Xinjiang Medical University, Urumqi 830000, China
2.
Xinjiang Clinical Medical Research Center for Infectious Diseases (Viral Hepatitis), Urumqi 830000, China

Research funding:

National Natural Science Foundation of China (82060115)

More Information

Corresponding author: SUN Xiaofeng, xjwlsxf@163.com(ORCID: 0000-0002-2596-3669)

摘要

摘要: 目的本研究旨在评估乳酸对HBV相关慢加急性肝衰竭(HBV-ALCF)患者90 d预后的预测价值。方法回顾性纳入2017年1月—2021年6月新疆医科大学第一附属医院感染病·肝病中心收治的117例HBV-ACLF患者，根据90 d随访结果分为生存组(n=43)和死亡组(n=74);收集患者于本院诊断HBV-ACLF后24 h内的血常规、肝肾功能、凝血功能、动脉血气、肝性脑病等并发症，计算ALBI、MELD、MELD-Na、MESO、iMELD、CLIF-C ACLF评分。计量资料符合正态分布的组间比较采用t检验，非正态分布的组间比较采用Mann-Whitney U检验，计数资料组间比较采用χ²检验。采用二元logistic分析乳酸是否为HBV-ACLF患者90 d预后的独立危险因素，Pearson相关分析检验乳酸与感染情况及临床并发症的相关性。绘制受试者工作特征曲线(ROC曲线)分析乳酸相加于各评分后能否提高现有模型的预测价值，两两比较采用Z检验。结果死亡组WBC、INR、乳酸均大于生存组，Na小于生存组，差异均有统计学意义(Z值分别为-2.813、-2.855、-3.186、-2.044，P值均＜0.05)；年龄、MELD、MELD-Na、MESO、iMELD、CLIF-C ACLF评分均显著高于生存组，差异均有统计学意义(t值分别为2.536、4.615、4.247、4.941、5.832、7.562，P值均＜0.05)。logistic分析表明年龄(OR=1.075，95%CI: 1.026~1.127，P=0.002)、INR(OR=2.198，95%CI: 1.149~4.203，P=0.017)、乳酸(OR=1.431，95%CI: 1.002~2.044，P=0.049)是HBV-ACLF患者90 d预后的独立危险因素，将乳酸纳入现有模型后ROC曲线下面积均有所增加。结论乳酸是HBV-ACLF患者90 d预后的独立危险因素，将其纳入现有模型可能提高预测价值。
- 慢加急性肝衰竭 /
- 乙型肝炎病毒 /
- 乳酸 /
- 预后
Abstract: Objective To investigate the value of lactate in predicting the 90-day prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). Methods A retrospective analysis was performed for 117 patients with HBV-ACLF who were admitted to Center for Infectious Diseases-Hepatology, The First Affiliated Hospital of Xinjiang Medical University, from January 2017 to June 2021, and according to the results of 90-day follow-up, they were divided into survival group with 43 patients and death group with 74 patients. Related clinical data were collected, including routine blood test results, hepatic and renal function, coagulation function, arterial blood gas parameters, and complications such as hepatic encephalopathy within 24 hours after the diagnosis of HBV-ACLF in our hospital, and albumin-bilirubin (ALBI), Model for End-Stage Liver Disease (MELD), MELD combined with serum sodium concentration (MELD-Na), MELD to SNa ratio (MESO), integrated MELD (iMELD), and CLIF-C ACLF scores were calculated. The t-test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was used to investigate whether lactate was an independent risk factor for the 90-d prognosis of HBV-ACLF patients, and a Pearson correlation analysis was used to investigate the correlation of lactate with infection and clinical complications. The receiver operating characteristic (ROC) curve was plotted to analyze whether lactate, in combination with each score, can improve the predictive value of the existing model, and the Z test was used for pairwise comparison. Results Compared with the survival group, the death group had significantly higher white blood cell count, international normalized ratio (INR), and lactate and a significantly lower level of Na (Z=-2.813, -2.855, and -3.186, and -2.044, all P < 0.05), as well as significantly higher age and MELD, MELD-Na, MESO, iMELD, and CLIF-C ACLF scores (t=2.536, 4.615, 4.247, 4.941, 5.832, and 7.562, all P < 0.05). The logistic regression analysis showed that age (odds ratio [OR]=1.075, 95% confidence interval [CI]: 1.026-1.127, P=0.002), INR (OR=2.198, 95%CI: 1.149-4.203, P=0.017), and lactate (OR=1.431, 95%CI: 1.002-2.044, P=0.049) were independent risk factors for the 90-day prognosis of patients with HBV-ACLF, and there was an increase in the area under the ROC curve after lactate was included in the existing models. Conclusion Lactate is an independent risk factor for the 90-day prognosis of patients with HBV-ACLF, and its inclusion in existing models may improve predictive value.
- Acute-on-Chronic Liver Failure /
- Hepatitis B virus /
- Lactic Acid /
- Prognosis

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图 1 六种评分增加乳酸前后ROC曲线的比较

Figure 1. Comparison of ROC curves before and after increasing lactate for six scores

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表 1 CLIF-C OF评分

Table 1. CLIF-C OF scores

器官/系统	1分	2分	3分
肝脏(TBil, mg/dL)	＜6	6~12	＞12
肾脏(Cr, mg/dL)	＜2	2~3.4	≥3.5或肾脏替代治疗
凝血功能(INR)	＜2	2~2.4	≥2.5
神经(感性脑病分级)	0	Ⅰ~Ⅱ	Ⅲ~Ⅳ
循环(平均动脉压，mmHg)	≥70	＜70	应用血管活性药物 (去甲肾上腺素、多巴胺、肾上腺素)
呼吸
PaO₂/FiO₂	＞300	201~300	≤200
SPO₂/FiO₂	＞357	215~357	≤214
注：Cr，肌酐；PaO₂/FiO₂，氧分压/氧浓度；SpO₂/FiO₂，血氧饱和度/氧浓度。

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表 2 入组时基线资料的比较分析

Table 2. Comparative analysis of baseline information at enrollment

指标	生存组(n=43)	死亡组(n=74)	统计值	P值
年龄(岁)	44.05±10.32	49.70±12.33	t=2.536	0.013
男/女(例)	31/12	55/19	χ²=0.070	0.792
WBC(×10⁹/L)	6.25(5.10~8.20)	7.83(5.90~11.57)	Z=-2.813	0.005
红细胞分布宽度(%)	16.20(14.60~17.80)	17.45(15.28~18.60)	Z=-1.804	0.071
Na(mmol/L)	135.00(132.42~136.87)	132.96(128.42~136.0)	Z=-2.044	0.041
血小板压积(%)	0.56(0.31~0.90)	0.59(0.40~1.02)	Z=-0.933	0.351
PLT(×10⁹/L)	122(90~142)	91(60~133.5)	Z=-1.883	0.060
Alb(g/L)	29.29(24.81~32.57)	28.22(25.54~31.42)	Z=-0.334	0.739
INR	2.52(1.96~3.03)	2.85(2.43~3.59)	Z=-2.855	0.004
Cr(mg/dL)	0.72(0.62~0.88)	0.84(0.62~1.16)	Z=-1.916	0.055
TBil(mg/dL)	17.08(13.46~20.58)	19.67(14.12~26.51)	Z=-1.713	0.087
AST(U/L)	222.72(111.14~563.52)	215.95(105.59~529.12)	Z=-0.636	0.525
ALT(U/L)	362.10(161.57~682.10)	197.87(64.42~648.65)	Z=-1.269	0.204
乳酸(mmol/L)	2.30(1.80~2.70)	2.60(2.00~3.82)	Z=-3.186	0.001
ALBI评分	-1.30(-1.59~-0.94)	-1.16(-1.48~-0.92)	Z=-1.198	0.231
MELD评分	24.29±4.27	28.99±6.74	t=4.615	＜0.001
MELD-Na评分	25.66±8.33	34.28±13.63	t=4.247	＜0.001
MESO评分	1.81±0.34	2.21±0.53	t=4.941	＜0.001
iMELD评分	43.61±5.69	51.73±9.37	t=5.832	＜0.001
CLIF-C ACLF评分	45.48±6.71	56.70±9.22	t=7.562	＜0.001
糖尿病[例(%)]	3(6.98)	14(18.92)	χ²=3.123	0.077
肝硬化[例(%)]	25(58.14)	52(70.27)	χ²=1.779	0.182
人工肝支持[例(%)]	26(60.47)	42(56.76)	χ²=0.154	0.695

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表 3 两组并发症发生情况比较

Table 3. Comparison of the occurrence of complications between the two groups

指标	例数	生存组(n=43)	死亡组(n=74)	χ²值	P值
上消化道出血[例(%)]	15	1(2.33)	14(18.92)	6.700	0.010
肺部感染或感染性休克[例(%)]	41	8(18.60)	33(44.59)	8.070	0.004
肝肾综合征[例(%)]	13	0	13(17.57)	6.813	0.009
腹水[例(%)]	98	34(79.07)	64(86.49)	1.100	0.294
肝性脑病[例(%)]	51	6(13.95)	45(60.81)	24.284	＜0.001

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表 4 HBV-ACLF患者预后影响因素的多因素logistic分析

Table 4. Multi-factor logistic analysis of the prognostic factors of HBV-ACLF

指标	B值	SE	Wald	P值	OR	95%CI
年龄	0.073	0.024	9.174	0.002	1.075	1.026~1.127
INR	0.787	0.331	5.667	0.017	2.198	1.149~4.203
乳酸	0.359	0.182	3.888	0.049	1.431	1.002~2.044

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表 5 各模型预测90 d病死率的的准确性

Table 5. Accuracy of each model in predicting 90-d mortality rate

评分模型	AUC	95%CI	P值	cut-off值	灵敏度	特异度
ALBI	0.567	0.458~0.675	0.231	-1.233 9	0.595	0.558
乳酸	0.677	0.579~0.775	0.001	3.150 0	0.405	0.930
MELD	0.698	0.604~0.791	＜0.001	29.574 6	0.432	0.953
MELD-Na	0.698	0.603~0.793	＜0.001	31.935 7	0.527	0.837
MESO	0.709	0.617~0.802	＜0.001	2.286 9	0.446	0.977
iMELD	0.766	0.682~0.851	＜0.001	50.144 4	0.527	0.907
CLIF-C ACLF	0.832	0.761~0.904	＜0.001	51.472 6	0.689	0.860

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表 6 相加乳酸后六种新模型的预测价值

Table 6. Predictive values of the six new models after summing lactate

评分模型	AUC	95%CI	P值	灵敏度	特异度
ALBI+乳酸	0.690	0.593~0.787	0.001	0.541	0.767
MELD+乳酸	0.709	0.617~0.801	＜0.001	0.446	0.977
MELD-Na+乳酸	0.717	0.625~0.809	＜0.001	0.622	0.767
MESO+乳酸	0.719	0.625~0.813	＜0.001	0.446	0.907
iMELD+乳酸	0.775	0.692~0.858	＜0.001	0.514	0.907
CLIF-C ACLF+乳酸	0.839	0.769~0.909	＜0.001	0.622	0.953

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