International normalized ratio and model for end-stage liver disease score for predicting short-term prognosis of cirrhotic patients with hepatic encephalopathy
Clinical Medicine|更新时间:2026-01-09
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International normalized ratio and model for end-stage liver disease score for predicting short-term prognosis of cirrhotic patients with hepatic encephalopathy
Journal of Third Military Medical UniversityVol. 41, Issue 14, Pages: 1374-1380(2019)
Xiaopeng HU, Jian GAO. International normalized ratio and model for end-stage liver disease score for predicting short-term prognosis of cirrhotic patients with hepatic encephalopathy[J]. Journal of Third Military Medical University, 2019, 41(14): 1374-1380.
DOI:
Xiaopeng HU, Jian GAO. International normalized ratio and model for end-stage liver disease score for predicting short-term prognosis of cirrhotic patients with hepatic encephalopathy[J]. Journal of Third Military Medical University, 2019, 41(14): 1374-1380. DOI: 10.16016/j.1000-5404.201901232.
International normalized ratio and model for end-stage liver disease score for predicting short-term prognosis of cirrhotic patients with hepatic encephalopathy
0.001)。出院时的终末期肝病模型(model for end-stage liver disease,MELD)评分(比值比为1.11;
P
值为0.048)可独立预测肝性脑病引起的早期再入院的发生。出院时的血红蛋白水平(比值比为0.97;
P
值为0.005)是早期再入院发生的保护因素。此外,住院期间使用人工肝(风险比为6.67;
P
值为0.021)可独立预测中期死亡的发生。
结论
2
国际标准化比值可用于识别早期再入院率较高的肝硬化患者,MELD评分可用于预测肝性脑病的早期复发。
Abstract
Objective
2
To determine the predictors of early readmission (30 d) and mid-term mortality (6 months) in cirrhotic patients discharged after hepatic encephalopathy (HE) is controlled.
Methods
2
A total of 213 cirrhotic patients with HE
who were discharged after HE was controlled
were enrolled in the study and followed up for 6 months. The early readmission within 30 d after discharge and the mid-term (in 6 months) mortality of the patients were recorded
and the predictors of the short-term prognosis were analyzed.
Results
2
The international normalized ratio (INR) [odds ratio (
OR
)=2.40
P
=0.003
]
at discharge independently predicted the early readmission of the patients. The incidence of early readmission was significantly higher in patients with an INR
>
1.62 at discharge than in those with an INR ≤1.62 (44%
vs
20%
Chi
-square=14.335
P
<
0.001). The model for end-stage liver disease (MELD) score at discharge was an independent predictor of early readmission associated with HE (
OR
=1.11
P
=0.048). Hemoglobin at discharge was an independent predictor of non-early readmission (
OR
=0.97
P
=0.005). The use of an artificial liver during the first hospit
alization independently predicted the mid-term mortality of the patients after discharge [hazard ratio (
HR
)=6.67
P
=0.021
]
.
Conclusion
2
For cirrhotic patients with HE
INR can be applied to identify those at a high risk of early readmission
and MELD score is capable of predicting early relapse of HE after discharge.
关键词
Keywords
references
TAPPER E B, HALBERT B, MELLINGER J. Rates of and reasons for hospital readmissions in patients with cirrhosis: A multistate population-based cohort study[J]. Clin Gastroenterol Hepatol, 2016, 14(8): 1181-1188.e2. DOI: 10.1016/j.cgh.2016.04.009.
SCAGLIONE S J, METCALFE L, KLIETHERMES S, et al . Early hospital readmissions and mortality in patients with decompensated cirrhosis enrolled in a large national health insurance administrative database[J ] . J Clin Gastroenterol, 2017, 51(9): 839-844. DOI: 10.1097/MCG.0000000000000826.
ELLUL M A, GHOLKAR S A, CROSS T J. Hepatic encephalopathy due to liver cirrhosis[J]. BMJ, 2015: h4187. DOI: 10.1136/bmj.h4187.
GONZALEZ H C, JAFRI S M, GORDON SC. Management of acute hepatotoxicity including medical agents and liver support systems[J]. Clin Liver Dis, 2017, 21(1): 163-180. DOI: 10.1016/j.cld.2016.08.012.
[PRAKASH R K, MULLEN K D. Hepatic encephalopathy[M ] //PRAKASH R K, MULLEN K D. eds. Schiff's diseases of the liver. Oxford: Wiley-Blackwell, 2011: 421-444. DOI: 10.1002/9781119950509.ch18 http://dx.doi.org/10.1002/9781119950509.ch18
BAÑARES R, CATALINA M V, VAQUERO J. Molecular adsorbent recirculating system and bioartificial devices for liver failure[J]. Clin Liver Dis, 2014, 18(4): 945-956. DOI: 10.1016/j.cld.2014.07.011.
FLAMM S L, YANG Y X, SINGH S, et al . American gastroenterological association institute guidelines for the diagnosis and management of acute liver failure[J ] . Gastroenterology, 2017, 152(3): 644-647. DOI: 10.1053/j.gastro.2016.12.026.
VILSTRUP H, AMODIO P, BAJAJ J, et al . Hepatic encephalopathy in chronic liver disease: 2014 Practice Guideline by the American Association for the Study of Liver Diseases and the European Association for the Study of the Liver[J ] . Hepatology, 2014, 60(2): 715-735. DOI: 10.1002/hep.27210.
TANG B, CHEN Y Q, ZHAO M. Interpretation of European Association for the Study of the Liver: EASL clinical practical guidelines: management of alcoholic liver disease[J]. J Chin PLA Postgrad Med School, 2012, 33(9): 998-1001.
European Association for the Study of the Liver. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma[J]. J Hepatol, 2018, 69(1): 182-236. DOI: 10.1016/j.jhep.2018.03.019.
KELLUM J A,LAMEIRE N, ASPELIN P, et al . Kidney disease: improving global outcomes (KDIGO) acute kidney injury work group. KDIGO clinical practice guideline for acute kidney injury[J ] . Kidney Int Suppl, 2012, 2(1): 89-115.
WLODZIMIROW K A, ESLAMI S, ABU-HANNA A, et al . A systematic review on prognostic indicators of acute on chronic liver failure and their predictive value for mortality[J ] . Liver Int, 2013, 33(1): 40-52. DOI: 10.1111/j.1478-3231.2012.02790.x.
MATEI D, GROZA I, FURNEA B, et al . Predictors ofvariceal or nonvariceal source of upper gastrointestinal bleeding. An etiology predictive score established and validated in a tertiary referral center[J ] . J Gastrointest Liver Dis, 2013, 22(4): 379-384.
Liver Failure and Artificial Liver Group, Chinese Society of Infectious Diseases, Chinese Medical Association; Severe Liver Disease and Artificial Liver Group, Chinese Society of Hepatology, Chinese Medical Association. Guideline for diagnosis and treatment of liver failure (2018)[J]. J Clin Hepatol, 2019, 35(1): 38-44. DOI: 10.3969/j.issn.1001-5256.2019.01.007.
SHALIMAR, ACHARYA S K. Management in acute liver failure[J]. J Clin Exp Hepatol, 2015, 5: S104-S115. DOI: 10.1016/j.jceh.2014.11.005.
WIESNER R H, MCDIARMID S V, KAMATH P S, et al . MELD and PELD: application of survival models to liver allocation[J ] . Liver Transpl, 2001, 7(7): 567-580. DOI: 10.1053/jlts.2001.25879.
KAMATH P S, KIM W R, Advanced Liver Disease Study Group. The model for end-stage liver disease (MELD)[J]. Hepatology, 2007, 45(3): 797-805. DOI: 10.1002/hep.21563.
PIANO S, TONON M, VETTORE E, et al . Incidence, predictors and outcomes of acute-on-chronic liver failure in outpatients with cirrhosis[J ] . J Hepatol, 2017, 67(6): 1177-1184. DOI: 10.1016/j.jhep.2017.07.008.
PIANO S, MORANDO F, CARRETTA G, et al . Predictors of early readmission in patients with cirrhosis after the resolution of bacterial infections[J ] . Am J Gastroenterol, 2017, 112(10): 1575-1583. DOI: 10.1038/ajg.2017.253.
ASRANI S K, O'LEARY J G. Acute-on-chronic liver failure[J]. Clin Liver Dis, 2014, 18(3): 561-574. DOI: 10.1016/j.cld.2014.05.004.
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