Journal of Shanghai Jiao Tong University (Medical Science) ›› 2023, Vol. 43 ›› Issue (1): 52-60.doi: 10.3969/j.issn.1674-8115.2023.01.007
• Clinical research • Previous Articles Next Articles
XUE Linlin1(), LI Binghan1, CHANG Lixian2, LI Weikun2, LIU Chunyun2, LIU Li2()
Received:
2022-09-01
Accepted:
2022-12-09
Online:
2023-01-28
Published:
2023-01-28
Contact:
LIU Li
E-mail:18860230076@163.com;liuli197210@163.com
Supported by:
CLC Number:
XUE Linlin, LI Binghan, CHANG Lixian, LI Weikun, LIU Chunyun, LIU Li. Construction and evaluation of a nomogram prediction model for bacterial infection in patients with decompensated hepatitis C cirrhosis[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 52-60.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2023.01.007
Item | Non-bacterial infection group (n=411) | Bacterial infection group (n=163) | χ2 /Z value | P value |
---|---|---|---|---|
Age≥60 years/n (%) | 32 (7.8) | 24 (14.7) | 6.283 | 0.012 |
Gender/n (%) | 6.381 | 0.012 | ||
Male | 304 (74.0) | 105 (64.4) | ||
Female | 107 (26.0) | 58 (35.6) | ||
Complication on admission/n (%) | ||||
Diabetes | 74 (16.9) | 20 (12.0) | 2.803 | 0.094 |
Hypertension | 107 (24.4) | 5 (3.0) | 1.926 | 0.588 |
Upper gastrointestinal Hemorrhage | 19 (4.3) | 4 (2.4) | 1.427 | 0.232 |
Ascites | 113 (25.7) | 81 (48.5) | 28.073 | 0.000 |
Hepatorenal syndrome | 7 (1.6) | 5 (3.0) | 1.061 | 0.303 |
Hepatic encephalopathy | 21 (4.8) | 10 (6.0) | 0.240 | 0.624 |
Portal hypertensive Gastroenteropathy | 74 (16.9) | 24 (14.4) | 0.673 | 0.412 |
Hyperammonemia | 24 (5.5) | 18 (10.8) | 4.660 | 0.031 |
History of invasive procedures in the last two weeks/n (%)① | 29 (7.1) | 23 (14.1) | 7.050 | 0.008 |
Infusing human serum albumin/n (%) | 134 (32.6) | 24(14.7) | 18.703 | 0.000 |
Laboratory index | ||||
WBC/(×109·L-1) | 4.0 (3.0, 5.2) | 4.6 (3.6, 6.2) | -3.920 | 0.000 |
RBC/(×109·L-1) | 4.0 (3.2, 4.8) | 3.8 (3.0, 4.5) | -1.858 | 0.063 |
PLT/(×109·L-1) | 76.0 (52.0, 110.0) | 71.0 (47.0, 104.0) | -0.917 | 0.359 |
NEUT/(×109·L-1) | 2.3 (1.6, 3.3) | 3.0 (2.1, 4.4) | -4.730 | 0.000 |
HGB/(g·L-1) | 124.0 (101.0, 145.0) | 121.3 (90.0, 145.0) | -1.817 | 0.069 |
TP/(g·L-1) | 68.0 (60.8, 72.8) | 66.3 (58.2, 70.5) | -3.107 | 0.002 |
ALB/(g·L-1) | 32.9 (28.0, 38.7) | 30.5 (24.9, 35.0) | -4.280 | 0.000 |
PA/(mg·L-1) | 114.9 (93.1, 134.7) | 114.9 (76.6, 115.0) | -2.870 | 0.004 |
GPT/(U·L-1) | 39.0 (24.0, 64.0) | 36.0 (23.0, 59.0) | -1.509 | 0.131 |
GOT/(U·L-1) | 59.0 (36.0, 94.0) | 59.0 (36.0, 94.0) | -0.608 | 0.543 |
TBIL/(μmol·L-1) | 28.3 (18.0, 45.5) | 36.0 (19.9, 69.4) | -2.728 | 0.006 |
TAG/(mmol·L-1) | 1.2 (0.7, 4.1) | 1.1 (0.7, 4.1) | -0.496 | 0.620 |
CHOL/(mmol·L-1) | 3.3 (2.7, 3.9) | 3.2 (2.4, 3.4) | -4.081 | 0.000 |
HDL-C/(mmol·L-1) | 1.4 (1.0, 1.9) | 1.3 (0.9, 1.4) | -3.581 | 0.000 |
LDL-C/(mmol·L-1) | 1.3 (0.8, 1.6) | 1.3 (0.8, 1.6) | -0.872 | 0.383 |
UR/(mmol·L-1) | 4.7 (3.4, 6.3) | 5.3 (3.6, 7.4) | -1.590 | 0.112 |
CREA/(mmol·L-1) | 65.0 (54.0, 79.0) | 71.0 (55.0, 90.0) | -3.100 | 0.002 |
UA/(μmol·L-1) | 354.0 (276.0, 443.0) | 366.0 (303.0, 447.0) | -0.904 | 0.366 |
LDH/(U·L-1) | 210.1 (156.0, 231.0) | 210.1 (159.0, 252.0) | -1.732 | 0.083 |
PT/s | 15.1 (13.1, 16.8) | 15.1 (10.3, 17.8) | -0.393 | 0.694 |
PTA/% | 58.0 (42.0, 71.0) | 54.7 (20.3, 68.0) | -1.937 | 0.053 |
INR | 1.3 (1.2, 1.5) | 1.3 (1.2, 1.6) | -2.708 | 0.007 |
AFP/(ng·mL-1) | 10.2 (5.2, 26.3) | 8.7 (3.8, 1 476.3) | -0.073 | 0.942 |
ALP/(U·L-1) | 133.0 (99.0, 200.6) | 143.0 (98.0, 200.6) | -0.806 | 0.420 |
IL-6/(pg·mL-1) | 21.0 (8.4, 64.5) | 62.7 (23.1, 64.5) | -5.908 | 0.000 |
C1q/(mg·L-1) | 170.0 (142.0, 190.0) | 164.7 (140.0, 177.0) | -1.878 | 0.060 |
hs-CRP/(mg·L-1) | 5.3 (0.8, 11.8) | 4.2 (0.8, 11.8) | -0.639 | 0.523 |
Hospitalization time ≥2 weeks/n (%) | 177 (43.1) | 95 (58.3) | 10.839 | 0.001 |
Tab 1 Baseline data comparison between the two groups of patients with decompensated hepatitis C cirrhosis
Item | Non-bacterial infection group (n=411) | Bacterial infection group (n=163) | χ2 /Z value | P value |
---|---|---|---|---|
Age≥60 years/n (%) | 32 (7.8) | 24 (14.7) | 6.283 | 0.012 |
Gender/n (%) | 6.381 | 0.012 | ||
Male | 304 (74.0) | 105 (64.4) | ||
Female | 107 (26.0) | 58 (35.6) | ||
Complication on admission/n (%) | ||||
Diabetes | 74 (16.9) | 20 (12.0) | 2.803 | 0.094 |
Hypertension | 107 (24.4) | 5 (3.0) | 1.926 | 0.588 |
Upper gastrointestinal Hemorrhage | 19 (4.3) | 4 (2.4) | 1.427 | 0.232 |
Ascites | 113 (25.7) | 81 (48.5) | 28.073 | 0.000 |
Hepatorenal syndrome | 7 (1.6) | 5 (3.0) | 1.061 | 0.303 |
Hepatic encephalopathy | 21 (4.8) | 10 (6.0) | 0.240 | 0.624 |
Portal hypertensive Gastroenteropathy | 74 (16.9) | 24 (14.4) | 0.673 | 0.412 |
Hyperammonemia | 24 (5.5) | 18 (10.8) | 4.660 | 0.031 |
History of invasive procedures in the last two weeks/n (%)① | 29 (7.1) | 23 (14.1) | 7.050 | 0.008 |
Infusing human serum albumin/n (%) | 134 (32.6) | 24(14.7) | 18.703 | 0.000 |
Laboratory index | ||||
WBC/(×109·L-1) | 4.0 (3.0, 5.2) | 4.6 (3.6, 6.2) | -3.920 | 0.000 |
RBC/(×109·L-1) | 4.0 (3.2, 4.8) | 3.8 (3.0, 4.5) | -1.858 | 0.063 |
PLT/(×109·L-1) | 76.0 (52.0, 110.0) | 71.0 (47.0, 104.0) | -0.917 | 0.359 |
NEUT/(×109·L-1) | 2.3 (1.6, 3.3) | 3.0 (2.1, 4.4) | -4.730 | 0.000 |
HGB/(g·L-1) | 124.0 (101.0, 145.0) | 121.3 (90.0, 145.0) | -1.817 | 0.069 |
TP/(g·L-1) | 68.0 (60.8, 72.8) | 66.3 (58.2, 70.5) | -3.107 | 0.002 |
ALB/(g·L-1) | 32.9 (28.0, 38.7) | 30.5 (24.9, 35.0) | -4.280 | 0.000 |
PA/(mg·L-1) | 114.9 (93.1, 134.7) | 114.9 (76.6, 115.0) | -2.870 | 0.004 |
GPT/(U·L-1) | 39.0 (24.0, 64.0) | 36.0 (23.0, 59.0) | -1.509 | 0.131 |
GOT/(U·L-1) | 59.0 (36.0, 94.0) | 59.0 (36.0, 94.0) | -0.608 | 0.543 |
TBIL/(μmol·L-1) | 28.3 (18.0, 45.5) | 36.0 (19.9, 69.4) | -2.728 | 0.006 |
TAG/(mmol·L-1) | 1.2 (0.7, 4.1) | 1.1 (0.7, 4.1) | -0.496 | 0.620 |
CHOL/(mmol·L-1) | 3.3 (2.7, 3.9) | 3.2 (2.4, 3.4) | -4.081 | 0.000 |
HDL-C/(mmol·L-1) | 1.4 (1.0, 1.9) | 1.3 (0.9, 1.4) | -3.581 | 0.000 |
LDL-C/(mmol·L-1) | 1.3 (0.8, 1.6) | 1.3 (0.8, 1.6) | -0.872 | 0.383 |
UR/(mmol·L-1) | 4.7 (3.4, 6.3) | 5.3 (3.6, 7.4) | -1.590 | 0.112 |
CREA/(mmol·L-1) | 65.0 (54.0, 79.0) | 71.0 (55.0, 90.0) | -3.100 | 0.002 |
UA/(μmol·L-1) | 354.0 (276.0, 443.0) | 366.0 (303.0, 447.0) | -0.904 | 0.366 |
LDH/(U·L-1) | 210.1 (156.0, 231.0) | 210.1 (159.0, 252.0) | -1.732 | 0.083 |
PT/s | 15.1 (13.1, 16.8) | 15.1 (10.3, 17.8) | -0.393 | 0.694 |
PTA/% | 58.0 (42.0, 71.0) | 54.7 (20.3, 68.0) | -1.937 | 0.053 |
INR | 1.3 (1.2, 1.5) | 1.3 (1.2, 1.6) | -2.708 | 0.007 |
AFP/(ng·mL-1) | 10.2 (5.2, 26.3) | 8.7 (3.8, 1 476.3) | -0.073 | 0.942 |
ALP/(U·L-1) | 133.0 (99.0, 200.6) | 143.0 (98.0, 200.6) | -0.806 | 0.420 |
IL-6/(pg·mL-1) | 21.0 (8.4, 64.5) | 62.7 (23.1, 64.5) | -5.908 | 0.000 |
C1q/(mg·L-1) | 170.0 (142.0, 190.0) | 164.7 (140.0, 177.0) | -1.878 | 0.060 |
hs-CRP/(mg·L-1) | 5.3 (0.8, 11.8) | 4.2 (0.8, 11.8) | -0.639 | 0.523 |
Hospitalization time ≥2 weeks/n (%) | 177 (43.1) | 95 (58.3) | 10.839 | 0.001 |
Item | Univariate analysis | Multivariate analysis | ||
---|---|---|---|---|
OR (95%CI) | P value | OR (95%CI) | P value | |
Age≥60 years | 2.045 (1.164‒3.594) | 0.013 | 2.054 (1.104‒3.822) | 0.023 |
Gender (female) | 1.569 (1.064‒2.316) | 0.023 | 1.701 (1.112‒2.602) | 0.014 |
Diabetes | 1.567 (0.921‒2.666) | 0.098 | ‒ | ‒ |
Hypertension | 1.167 (0.709‒1.918) | 0.544 | ‒ | ‒ |
Hyperammonemia | 2.002 (1.055‒3.797) | 0.034 | ‒ | ‒ |
Ascites | 2.605 (1.789‒3.793) | 0.000 | 2.386 (1.601‒3.557) | 0.000 |
History of invasive procedures in the last two weeks① | 2.164 (1.211‒3.867) | 0.009 | 2.605 (1.386‒4.960) | 0.004 |
Infusing human serum albumin | 0.357 (0.221‒0.577) | 0.000 | 0.324 (0.194‒0.542) | 0.000 |
Laboratory index | ||||
WBC | 1.187 (1.099‒1.282) | 0.000 | ‒ | ‒ |
NEUT | 1.239 (1.131‒1.359) | 0.000 | ‒ | ‒ |
HGB | 0.995 (0.990‒1.000) | 0.068 | ‒ | ‒ |
TP | 0.980 (0.964‒0.997) | 0.018 | ‒ | ‒ |
ALB | 0.952 (0.930‒0.975) | 0.000 | ‒ | ‒ |
PA | 0.992 (0.988‒0.997) | 0.000 | ‒ | ‒ |
TBIL | 1.007 (1.003‒1.010) | 0.000 | ‒ | ‒ |
CHOL | 0.680 (0.559‒0.827) | 0.000 | 0.675 (0.549‒0.830) | 0.000 |
HDL-C | 0.644 (0.485‒0.854) | 0.002 | ‒ | ‒ |
LDL-C | 1.001 (1.000‒1.003) | 0.071 | ‒ | ‒ |
CREA | 1.005 (1.001‒1.009) | 0.007 | ‒ | ‒ |
IL-6 | 1.001 (1.000‒1.002) | 0.027 | ‒ | ‒ |
C1q | 0.995 (0.992‒0.999) | 0.018 | ‒ | ‒ |
LDH | 1.001 (1.000‒1.003) | 0.071 | ‒ | ‒ |
INR | 1.015 (0.932‒1.107) | 0.727 | ‒ | ‒ |
Hospitalization time ≥2 weeks | 1.847 (1.279‒2.677) | 0.001 | 1.629 (1.098‒2.416) | 0.015 |
Tab 2 Results of univariate and multivariate Logistic regression analysis of bacterial infection in patients with decompensated hepatitis C cirrhosis
Item | Univariate analysis | Multivariate analysis | ||
---|---|---|---|---|
OR (95%CI) | P value | OR (95%CI) | P value | |
Age≥60 years | 2.045 (1.164‒3.594) | 0.013 | 2.054 (1.104‒3.822) | 0.023 |
Gender (female) | 1.569 (1.064‒2.316) | 0.023 | 1.701 (1.112‒2.602) | 0.014 |
Diabetes | 1.567 (0.921‒2.666) | 0.098 | ‒ | ‒ |
Hypertension | 1.167 (0.709‒1.918) | 0.544 | ‒ | ‒ |
Hyperammonemia | 2.002 (1.055‒3.797) | 0.034 | ‒ | ‒ |
Ascites | 2.605 (1.789‒3.793) | 0.000 | 2.386 (1.601‒3.557) | 0.000 |
History of invasive procedures in the last two weeks① | 2.164 (1.211‒3.867) | 0.009 | 2.605 (1.386‒4.960) | 0.004 |
Infusing human serum albumin | 0.357 (0.221‒0.577) | 0.000 | 0.324 (0.194‒0.542) | 0.000 |
Laboratory index | ||||
WBC | 1.187 (1.099‒1.282) | 0.000 | ‒ | ‒ |
NEUT | 1.239 (1.131‒1.359) | 0.000 | ‒ | ‒ |
HGB | 0.995 (0.990‒1.000) | 0.068 | ‒ | ‒ |
TP | 0.980 (0.964‒0.997) | 0.018 | ‒ | ‒ |
ALB | 0.952 (0.930‒0.975) | 0.000 | ‒ | ‒ |
PA | 0.992 (0.988‒0.997) | 0.000 | ‒ | ‒ |
TBIL | 1.007 (1.003‒1.010) | 0.000 | ‒ | ‒ |
CHOL | 0.680 (0.559‒0.827) | 0.000 | 0.675 (0.549‒0.830) | 0.000 |
HDL-C | 0.644 (0.485‒0.854) | 0.002 | ‒ | ‒ |
LDL-C | 1.001 (1.000‒1.003) | 0.071 | ‒ | ‒ |
CREA | 1.005 (1.001‒1.009) | 0.007 | ‒ | ‒ |
IL-6 | 1.001 (1.000‒1.002) | 0.027 | ‒ | ‒ |
C1q | 0.995 (0.992‒0.999) | 0.018 | ‒ | ‒ |
LDH | 1.001 (1.000‒1.003) | 0.071 | ‒ | ‒ |
INR | 1.015 (0.932‒1.107) | 0.727 | ‒ | ‒ |
Hospitalization time ≥2 weeks | 1.847 (1.279‒2.677) | 0.001 | 1.629 (1.098‒2.416) | 0.015 |
1 | 中华人民共和国国家卫生健康委. 中国病毒性肝炎防治规划(2017—2020年)[EB/OL]. (2017-11-10)[2022-09-01]. http://www.nhc.gov.cn/ewebeditor/uploadfile/2017/11/20171113134002475.pdf. |
National Health Commission of the People′s Republic of China. Prevention and control plan of viral hepatitis in China (2017‒2020)[EB/OL]. (2017-11-10)[2022-09-01]. http://www.nhc.gov.cn/ewebeditor/uploadfile/2017/11/20171113134002475.pdf. | |
2 | HEI F X, YE S D, DING G W, et al. Epidemiological analysis on reported hepatitis C cases in China from 2012 to 2016[J]. Biomed Environ Sci, 2018, 31(10): 773-776. |
3 | PIANO S, SINGH V, CARACENI P, et al. Epidemiology and effects of bacterial infections in patients with cirrhosis worldwide[J]. Gastroenterology, 2019, 156(5): 1368-1380.e10. |
4 | PLEGUEZUELO M, BENITEZ J M, JURADO J, et al. Diagnosis and management of bacterial infections in decompensated cirrhosis[J]. World J Hepatol, 2013, 5(1): 16-25. |
5 | FERNÁNDEZ J, PRADO V, TREBICKA J, et al. Multidrug-resistant bacterial infections in patients with decompensated cirrhosis and with acute-on-chronic liver failure in Europe[J]. J Hepatol, 2019, 70(3): 398-411. |
6 | 中华医学会感染病学分会. 终末期肝病合并感染诊治专家共识(2021年版)[J]. 中华肝脏病杂志, 2022, 30(2): 147-158. |
Chinese Society of Infectious Diseases, Chinese Medical Association. Expert consensus on diagnosis and treatment of end-stage liver disease complicated infection (2021 version)[J]. Chinese Journal of Hepatology, 2022, 30(2): 147-158. | |
7 | MIKUŁA T, SAPUŁA M, JABŁOŃSKA J, et al. Significance of heparin-binding protein and D-dimers in the early diagnosis of spontaneous bacterial peritonitis[J]. Mediators Inflamm, 2018, 2018: 1969108. |
8 | SPAHR L, MORARD I, HADENGUE A, et al. Procalcitonin is not an accurate marker of spontaneous bacterial peritonitis in patients with cirrhosis[J]. Hepato gastroenterology, 2001, 48(38): 502-505. |
9 | ZHU Y, CHENG H, MIN R, et al. Computed tomography images under the nomogram mathematical prediction model in the treatment of cerebral infarction complicated with nonvalvular atrial fibrillation and the impacts of virus infection[J]. Contrast Media Mol Imaging, 2022, 2022: 3950641. |
10 | LI S Y, YIN C H, CHEN J S, et al. A nomogram for predicting the development of serious bacterial infections in febrile term neonates: a single medical center experience in southern Taiwan[J]. Pediatr Neonatol, 2022, 63(6): 605-612. |
11 | XU X F, LI H W, SHENG Y J, et al. Nomogram for prediction of bronchial mucus plugs in children with Mycoplasma pneumoniae pneumonia[J]. Sci Rep, 2020, 10(1): 4579. |
12 | 中华医学会肝病学分会, 中华医学会感染病学分会. 丙型肝炎防治指南(2019年版)[J]. 实用肝脏病杂志, 2020, 23(1): S33-S52. |
Chinese Society of Hepatology and Chinese Society of Infectious Diseases, Chinese Medical Association. Guidelines for prevention and treatment of hepatitis C (2019 edition)[J]. Journal of Practical Hepatology, 2020, 23(1): S33-S52. | |
13 | PIANO S, TONON M, ANGELI P. Changes in the epidemiology and management of bacterial infections in cirrhosis[J]. Clin Mol Hepatol, 2021, 27(3): 437-445. |
14 | ALBILLOS A, DE GOTTARDI A, RESCIGNO M. The gut-liver axis in liver disease: pathophysiological basis for therapy[J]. J Hepatol, 2020, 72(3): 558-577. |
15 | 吴柳, 洪灏, 李维正, 等. 肝硬化患者合并细菌感染的临床特征分析[J]. 中国感染与化疗杂志, 2020, 20(6): 601-606. |
WU L, HONG H, LI W Z, et al. Clinical characteristics of bacterial infections in patients with liver cirrhosis[J]. Chinese Journal of Infection and Chemotherapy, 2020, 20(6): 601-606. | |
16 | 徐文倩, 吴瑶麒, 张近远, 等. 慢性肝病女性患者绝经后雌激素抗肝纤维化的作用机制[J]. 临床肝胆病杂志, 2021, 37(10): 2425-2428. |
XU W Q, WU Y Q, ZHANG J Y, et al. Mechanism of estrogen against liver fibrosis in postmenopausal women with chronic liver disease[J]. Journal of Clinical Hepatology, 2021, 37(10): 2425-2428. | |
17 | KLAIR J S, YANG J D, ABDELMALEK M F, et al. A longer duration of estrogen deficiency increases fibrosis risk among postmenopausal women with nonalcoholic fatty liver disease[J]. Hepatology, 2016, 64(1): 85-91. |
18 | MARTIN MATEOS R, ALBILLOS A. Sepsis in patients with cirrhosis awaiting liver transplantation: new trends and management[J]. Liver Transpl, 2019, 25(11): 1700-1709. |
19 | MARTÍNEZ J, HERNÁNDEZ-GEA V, RODRÍGUEZ-DE-SANTIAGO E, et al. Bacterial infections in patients with acute variceal bleeding in the era of antibiotic prophylaxis[J]. J Hepatol, 2021, 75(2): 342-350. |
20 | 宫能凯, 全斌, 鲁俊, 等. 回归分析失代偿期肝硬化患者医院感染的危险因素[J]. 齐齐哈尔医学院学报, 2021, 42(9): 772-775. |
GONG N K, QUAN B, LU J, et al. Analysis of the risk factors of nosocomial infection among patients with decompensated liver cirrhosis inpatients based on regression analysis[J]. Journal of Qiqihar Medical University, 2021, 42(9): 772-775. | |
21 | 徐升, 徐芳, 应丽园, 等. 肝硬化合并上消化道出血患者医院感染的病原学特点及影响因素研究[J]. 中华医院感染学杂志, 2019, 29(1): 71-74. |
XU S, XU F, YING L Y, et al. Etiological charateristics and influencing factor for nosocomial infection in liver cirrhosis patients complicated with upper gastrointestinal hemorrhage[J]. Chinese Journal of Nosocomiology, 2019, 29(1): 71-74. | |
22 | ARROYO V, ANGELI P, MOREAU R, et al. The systemic inflammation hypothesis: towards a new paradigm of acute decompensation and multiorgan failure in cirrhosis[J]. J Hepatol, 2021, 74(3): 670-685. |
23 | NING Y X, KIM J K, MIN H K, et al. Cholesterol metabolites alleviate injured liver function and decrease mortality in an LPS-induced mouse model[J]. Metabolism, 2017, 71: 83-93. |
24 | 高鹏, 肖萍, 陈青锋, 等. 慢性乙型肝炎患者血脂水平的影响因素分析[J]. 第二军医大学学报, 2011, 32(12): 1375-1377. |
GAO P, XIAO P, CHEN Q F, et al. Analysis of factors influencing serum lipids of patients with chronic hepatitis B infection[J]. Academic Journal of Second Military Medical University, 2011, 32(12): 1375-1377. | |
25 | DELGADO-COELLO B, BRIONES-ORTA M A, MACÍAS-SILVA M, et al. Cholesterol: recapitulation of its active role during liver regeneration[J]. Liver Int, 2011, 31(9): 1271-1284. |
26 | 薛永举, 杨丽, 朱玉, 等. 血清白蛋白、胆碱酯酶及凝血酶原活动度对病毒性肝炎肝硬化的诊断价值[J]. 蚌埠医学院学报, 2019, 44(3): 306-308, 313. |
XUE Y J, YANG L, ZHU Y, et al. Value of the serum albumin, cholinesterase and prothrombin activity in the diagnosis of viral hepatitis cirrhosis[J]. Journal of Bengbu Medical College, 2019, 44(3): 306-308, 313. | |
27 | 文关良. 肝炎肝硬化患者血清CHE、ALB、CHO水平检测在肝功能评估中的临床应用价值[J]. 检验医学与临床, 2017, 14(18): 2741-2742. |
GUAN W L. Clinical application value of serum CHE, ALB and CHO levels in liver function assessment of patients with hepatitis cirrhosis[J]. Laboratory Medicine and Clinic, 2017, 14(18): 2741-2742. | |
28 | DESCHÊNES M, VILLENEUVE J P. Risk factors for the development of bacterial infections in hospitalized patients with cirrhosis[J]. Am J Gastroenterol, 1999, 94(8): 2193-2197. |
29 | 谭立明, 丁耀东, 陈娟娟, 等. C1q在自身免疫性疾病中的临床意义[J]. 检验医学, 2017, 32(8): 686-690. |
TAN L M, DING Y D, CHEN J J, et al. Complement 1q determination for autoimmune diseases[J]. Laboratory Medicine, 2017, 32(8): 686-690. | |
30 | ZHANG Q, SHI B X, WU L. Characteristics and risk factors of infections in patients with HBV-related acute-on-chronic liver failure: a retrospective study[J]. PeerJ, 2022, 10: e13519. |
31 | 杨慧玲, 刘小静, 何英利, 等. 失代偿期乙型肝炎肝硬化患者发生医院感染临床特点及危险因素分析[J]. 实用肝脏病杂志, 2020, 23(1): 78-81. |
YANG H L, LIU X J, HE Y L, et al.Clinical characteristics of and risk factors for nosocomial infections in patients with hospitalized decompensated hepatitis B liver cirrhosis[J]. Journal of Practical Hepatology, 2020, 23(1): 78-81. | |
32 | CHINA L, FREEMANTLE N, FORREST E, et al. A randomized trial of albumin infusions in hospitalized patients with cirrhosis[J]. N Engl J Med, 2021, 384(9): 808-817. |
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