Risk Prediction of SBP in Patients with Primary Liver Cancer Complicated with Ascites

Hongyan WEI; Yuanzhen WANG; Lixian CHANG; Huan MU; Chunyun LIU; Li LIU

doi:10.12259/j.issn.2095-610X.S20240320

Volume 45 Issue 3

Mar. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Kunming Medical University > 2024 > 45(3): 133-140

Hongyan WEI, Yuanzhen WANG, Lixian CHANG, Huan MU, Chunyun LIU, Li LIU. Risk Prediction of SBP in Patients with Primary Liver Cancer Complicated with Ascites[J]. Journal of Kunming Medical University, 2024, 45(3): 133-140. doi: 10.12259/j.issn.2095-610X.S20240320

Citation:

Hongyan WEI, Yuanzhen WANG, Lixian CHANG, Huan MU, Chunyun LIU, Li LIU. Risk Prediction of SBP in Patients with Primary Liver Cancer Complicated with Ascites[J]. Journal of Kunming Medical University, 2024, 45(3): 133-140. doi: 10.12259/j.issn.2095-610X.S20240320

Citation:

PDF( 1106 KB)

Risk Prediction of SBP in Patients with Primary Liver Cancer Complicated with Ascites

doi: 10.12259/j.issn.2095-610X.S20240320

Hongyan WEI^{1, 2},
Yuanzhen WANG²,
Lixian CHANG¹,
Huan MU¹,
Chunyun LIU^{1
,
,},
Li LIU^{1
,
,}

1.
Dept. of Hepatology and Immunology，Third People’s Hospital of Kunming，Yunnan Clinical Center for Infectious Diseases，Kunming Yunnan 650041
2.
School of Public Health，Dali University，Dali Yunnan 671000，China

Received Date: 2023-12-05
Publish Date: 2024-03-25

Abstract

Abstract

Objective To explore the influencing factors of spontaneous bacterial peritonitis in patients with primary liver cancer complicated with ascites and establish a prediction model. Methods A total of 292 patients with primary liver cancer complicated with ascites who were hospitalized for the first time in the Third People’ s Hospital of Kunming from January 2012 to December 2021 were selected as the study objects. General data, etiological indicators, serological indicators and complications of these subjects were collected. Then they were divided into the infection group （n = 114） and the control group （n = 178） according to whether spontaneous bacterial peritonitis （SBP） was complicated. Univariate and multivariate logistic regression were used to analyze the influencing factors of SBP in patients with primary liver cancer complicated with ascites. Finally, ROC curves were constructed to more intuitively represent the individual and combined predictive value of these targets. Results Among 292 hepatocellular carcinoma patients with ascites, there were 235 males （80.48%） and 57 females （19.52%）, among which 114 patients with SBP were in the infection group and 178 patients without SBP were in the control group. The results of univariate analysis showed that compared with the control group, the levels of WBC, neutrophils, prothrombin time, total bilirubin, albumin, CD3 , CD4 , CD8 , CD4/CD8 ratio, CD19 procalcitonin, serum amyloid A, hypersensitive C-reactive protein, sodium , chlorine , alcohol consumption, shock, hepatorenal syndrome, hepatic encephalopathy, massive ascites in the infection group had statistically significant difference （P < 0.05）. Multi-factor analysis revealed that CD8, CD4/CD8 ratio were protective factors for SBP in patients with liver cancer ascites, CD19, procalcitonin , serum amyloid A, and massive ascites were risk factors for SBP in patients with ascites. ROC curve construction showed that serum amyloid A, CD8, CD4/CD8 ratio, CD19, procalcitonin, massive ascites area under curve （AUC） of massive ascites were 0.724, 0.637, 0.653, 0.820, 0.705, 0.686, respectively. Conclusion CD8, CD4/CD8 ratio, CD19, procalcitonin, serum amyloid A, and a large volume of ascites are significant factors contributing to the development of spontaneous bacterial peritonitis （SBP） in patients with hepatocellular carcinoma ascites. The predictive value of combination is substantial, demonstrating a level of accuracy in forecasting SBP occurrence
- Liver cancer,
- Ascites,
- Spontaneous bacterial peritonitis,
- Risk prediction

FullText(HTML)

References(22)

References

[1]	窦晓光,徐小元,南月敏,等. 2022年肝脏疾病研究进展[J]. 中华肝脏病杂志,2023,31(1):3-15.
[2]	Devani K,Charilaou P,Jaiswal P,et al. Trends in hospitalization,acute kidney injury,and mortality in patients with spontaneous bacterial peritonitis[J]. J Clin Gastroenterol,2019,53(2):e68-e74. doi: 10.1097/MCG.0000000000000973
[3]	Jha A K,Nijhawan S,Suchismita A. Sepsis in acute on chronic liver failure[J]. Dig Dis,2011,56(4):1245-1246. doi: 10.1007/s10620-011-1605-2
[4]	中华医学会肝病学分会. 肝硬化腹水诊疗指南(2023年版)[J]. 中华肝脏病杂志,2023,31(8):813-826.
[5]	陈云娇. 肝硬化自发性腹膜炎的危险因素研究[D]. 合肥: 安徽医科大学, 2022.
[6]	赵晨露, 刘素彤, 于中杰, 等. 肝硬化腹水并自发性细菌性腹膜炎危险因素分析及诊断模型建立[J]中西医结合肝病杂志, 2023, 33（3）: 198-201.
[7]	国家卫生健康委办公厅. 原发性肝癌诊疗指南(2022年版)[J]. 临床肝胆病杂志,2022,38(2):288-303. doi: 10.3969/j.issn.1001-5256.2022.02.009
[8]	中华医学会肝病学分会. 肝硬化腹水及相关并发症的诊疗指南[J]. 中华肝脏病杂志,2017,25(9):664-677.
[9]	刘洪金,鲍春梅,白文林,等. 原发性肝癌发生感染性并发症的危险因素分析[J]. 临床肝胆病杂志,2018,34(5):1033-1037. doi: 10.3969/j.issn.1001-5256.2018.05.021
[10]	王惠,郎晓林,段银环. 血清及腹水中PCT、IL-17水平检测在肝硬化并发自发性腹膜炎诊断中的应用[J]. 内蒙古医科大学学报,2020,42(3):283-287.
[11]	姜夏薇,杨涛,潘林,等. 血清PCT水平对原发性肝癌TACE或RFA术后发热患者细菌感染的预测价值[J]. 山东医药,2021,61(28):55-58.
[12]	Cies J J,Chopra A. Procalcitonin use in a pediatric intensive care unit[J]. Pediatr Infect Dis J,2014,33(9):984-986. doi: 10.1097/INF.0000000000000370
[13]	胡春梅,童玲,刘霞,等. 血清异常凝血酶原、甲胎蛋白、铁蛋白和血清淀粉样蛋白A联合检测在原发性肝癌中的应用价值[J]. 国际检验医学杂志,2022,43(8):967-972. doi: 10.3969/j.issn.1673-4130.2022.08.015
[14]	Reinhardt A, Yevsa T, Worbs T, et al. Interleukin-23-dependent 3/T Cells produce interleukin-17 and accumulate in the enthesis, Aortic Valve, and Ciliary Body in Mice[J]. Arthritis Rheumatol, 2016, 68（10）: 2476-2486.
[15]	李姣姣,赵永昌,武军霞. 原发性肝癌根治术后恶性胸腹水患者T淋巴细胞及NK细胞水平观察[J]. 肝脏,2023,28(8):924-927.
[16]	乔杰,王荣琦,南月敏. 肝硬化患者感染的易感因素、类型及处理[J]. 中华肝脏病杂志,2021,29(10):1028-1030.
[17]	John T, Jamie I, Pontiano K, et al. Brief report: Enhanced normalization of CD4/CD8 ratio with earlier antiretroviral therapy at primary HIV infection[J]. J Int AIDS Soc, 2016, 73（1）: 69-73.
[18]	刘慧敏,刘晓利,王欣惠,等. 原发性肝癌患者外周血CD4+T、CD8+T、Tc17、Th17和Treg淋巴细胞的变化及其意义[J]. 实用肝脏病杂志,2022,25(2):255-258.
[19]	刘美静,穆娟,袁婷,等. 急性B淋巴细胞白血病自体CD19 CAR-T制备中CD19 CAR转入体系残留白血病细胞的体外研究[J]. 中华血液学杂志,2021,42(2):140-145.
[20]	谈宝珍,余稳,聂俊丽,等. 外周血TLR9和CD19表达水平在冠心病合并呼吸道感染患者中的临床意义[J]. 热带医学杂志,2022,22(10):1381-1385.
[21]	廖玲,黄恒柳,章明徐,等. HBV相关性肝癌患者CD19⁺CD24⁺CD38⁺调节性B细胞和IL-10的检测及临床价值[J]. 第三军医大学学报,2018,40(7):625-630.
[22]	胡大山,胡建强,刘欢,等. 肝硬化腹水患者的临床特征新趋势[J]. 肝脏,2019,24(2):181-184. doi: 10.3969/j.issn.1008-1704.2019.02.024

Relative Articles(20)

Relative Articles

[1]	Qiong WU, Na LI, Yujuan XU. Visual Analysis of Symptom Clusters of Hepatocarcinoma Patients Based on Citespace. Journal of Kunming Medical University, 2024, 45(11): 59-66. doi: 10.12259/j.issn.2095-610X.S20241109
[2]	Xuesha ZHANG, Jie ZHOU, Cailin LI, Dingyu WU, Fang PENG. Effects of Periplaneta americana Extract on Autophagy and Invasive Metastasis of Subcutaneous Transplanted Hepatocellular Carcinoma in Nude Mice. Journal of Kunming Medical University, 2023, 44(10): 39-46. doi: 10.12259/j.issn.2095-610X.S20231018
[3]	Liqiang LAN, Jing LI, Qingbo REN. Value Evaluation of New Markers AFP-L3 and PIVKAⅡ in the Diagnosis of Liver Cancer. Journal of Kunming Medical University, 2023, 44(7): 136-141. doi: 10.12259/j.issn.2095-610X.S20230705
[4]	Xiaohua LU, Hongxin YUAN. The Analysis of the Correlation between BTLA，CTLA-4 Gene Polymorphisms and the Efficacy and Prognosis of TACE Combined Targeted Therapy for Liver Cancer. Journal of Kunming Medical University, 2023, 44(9): 126-135. doi: 10.12259/j.issn.2095-610X.S20230927
[5]	Heng ZHANG, Cheng ZHANG, Weiran LIAO, Yutao HE, Yuyang ZHANG, Bin DU, Lin WANG. Research Progress of Zinc Finger Protein and Hepatocellular Carcinoma. Journal of Kunming Medical University, 2022, 43(1): 144-149. doi: 10.12259/j.issn.2095-610X.S20220135
[6]	Xi GUO, Xiaoqing TANG, Jie WANG, Yan WAN, Bin XU, Yu LUO. Effect of Early Interventional Palliative Treatment on Pain and Anxiety in Patients with Hepatitis-Related Liver Cancer. Journal of Kunming Medical University, 2022, 43(8): 93-99. doi: 10.12259/j.issn.2095-610X.S20220813
[7]	Song-xu QI, Cheng QIU, Rong-jun CHEN, Zhan-hui CHEN, Wan-yu ZHANG, Shi-long TANG, Fan CAO, Chun-man LI, Nan XIE. Expression of XB130 in Hepatocellular Carcinoma and Its Effect on Cell Invasion and Migration. Journal of Kunming Medical University, 2021, 42(4): 67-72. doi: 10.12259/j.issn.2095-610X.S20210413
[8]	Ran Xiao Ming , Song Rui Peng , Sun Dan . . Journal of Kunming Medical University, 2020, 41(05): 85-90.
[9]	Zhu Rong Song , Wei Xiao Ping , Dai Bin , Fan Hai Jun , Tan Yi Zheng , Fan Xue Rong , Tian Da Guang . . Journal of Kunming Medical University, 2019, 40(05): 68-72.
[10]	Zhang Yue , Wang Hua , Ma Jun , Luo Hai Bo , Yang Yan Long , Wang Ying Hua , Yang Yi Fu . Predictive Value of Cr-POSSUM Scoring Systems in Patient with Rectal Cancer after Surgery. Journal of Kunming Medical University, 2017, 38(04): 117-119.
[11]	Wang Jing . In Vitro Anticancer Effect of AMH-T. Journal of Kunming Medical University,
[12]	Liu Xing . Research Advance in the Role of Toll-like Receptors in Hepatocarcinogenesis. Journal of Kunming Medical University,
[13]	Wang Ying Xia . Application of Liquid Based Cytology in Differential Diagnosis of Benign and Malignant Hydrothorax and Ascites. Journal of Kunming Medical University,
[14]	He Hai Yu . The Expression of GP73 in Serum and Tissues of Patients with Chronic Hepatitis B，Liver Cirrhosis and Primary Live r Cancer. Journal of Kunming Medical University,
[15]	Li Xiao Ning . . Journal of Kunming Medical University,
[16]	Liu Li Xin . . Journal of Kunming Medical University,
[17]	Guo Tao . . Journal of Kunming Medical University,
[18]	He Zhi Jiang . . Journal of Kunming Medical University,
[19]	. Correlation of Life Quality and Coping Styles of Patients with Liver Cancer. Journal of Kunming Medical University,
[20]	Yuan Hui . . Journal of Kunming Medical University,