Site search
Correspondence address
310 Mira Street, Stavropol, Russia, 355017
Tel
+7 865 2352511, +7 865 2353229.
E-mail
medvestnik@stgmu.ru
The journal is included into The list of leading scientific periodicals.
The journal is included into VINITI database and is registered in Electronic scientific library.
The journal is indexed by SCOPUS, Ulrich's International Periodicals Directory.
[Internal diseases]
Vyacheslav Leonidovich Korobka; Yury Khoronko; Viktor Dmitrievich Pasechnikov; Inna Stremenkova; Roman Vyacheslavovich Korobka; Mikhail Vladimirovich Malevanny; Ekaterina S. Pak; Dmitry Viktorovich Pasechnikov;
A comparative retrospective study was conducted in 378 patients with decompensated cirrhosis who were on the waiting list for liver transplantation. An analysis of demographic, clinical and laboratory parameters, MELD-Na, Child-Turcotte-Pugh indices, FIB-4 index, APRI index, AST/ALT ratio was carried out. Liver stiffness and spleen diameter were determined, LSPS index and platelet count/spleen diameter ratio were calculated in groups of patients with the first episode of bleeding (n=170) and without it (n=208). The accumulated risks in the compared groups were assessed using a mathematical model of proportional hazards (Cox regression) in univariate and multivariate analysis. During 12 months of consecutive follow-up from the start of inclusion of patients on the waiting list for liver transplantation, primary bleeding developed in 44.97 % of cases. Based on the analysis, it was shown that independent non-invasive predictors of the first episode of bleeding are: a high fibrosis index (LS – liver stiffness), an increase in spleen diameter, a decrease in the ratio of platelet count/spleen diameter. The risk of developing the first episode of bleeding progressively increases with a LS level ≥23.1 kPa and reaches maximum values in patients awaiting liver transplantation within 12 months from the time of inclusion on the waiting list, while with a LS <23.1 kPa is significantly less.
References:
1. De Franchis R., Bosch J., Garcia-Tsao G., Reiberger T., Ripoll C. Baveno VII Faculty. Baveno VII – Renewing consensus in portal hypertension. J. Hepatol. 2022;76(4):959-974. https://doi.org/10.1016/j.jhep.2021.12.022
2. La Mura V., Garcia-Guix M., Berzigotti A., Abraldes J. G., García-Pagán J. C. [et al.]. A prognostic strategy based on stage of cirrhosis and HVPG to Improve risk stratification after variceal bleeding. Hepatology. 2020;72(4):1353-1365. https://doi.org/10.1002/hep.31125
3. Eisenbrey J. R., Dave J. K., Halldorsdottir V. G., Merton D. A., Miller C. [et al.]. Chronic liver disease: noninvasive subharmonic aided pressure estimation of hepatic venous pressure gradient. Radiology. 2013;268(2):581-588. https://doi.org/10.1148/radiol.13121769
4. Wang H., Wen B., Chang X., Wu Q., Wen W. [et al.]. Baveno VI criteria and spleen stiffness measurement rule out high-risk varices in virally suppressed HBV-related cirrhosis. J. Hepatol. 2021;74(3):584-592. https://doi.org/10.1016/j.jhep.2020.09.034
5. Kim B. K., Han K. H., Park J. Y., Ahn S. H., Kim J. K. [et al.]. A liver stiffness measurement-based, noninvasive prediction model for high-risk esophageal varices in B-viral liver cirrhosis. Am. J. Gastroenterol. 2010;105(6):1382-1390. https://doi.org/10.1038/ajg.2009.750
6. Deng H., Qi X., Peng Y., Li J., Li H. [et al.]. Diagnostic accuracy of APRI, AAR, FIB-4, FI, and king scores for diagnosis of esophageal varices in liver cirrhosis: A retrospective study. Med. Sci. Monit. 2015;21:3961-3977. https://doi.org/10.12659/msm.895005
7. González-Ojeda A., Cervantes-Guevara G., Chávez-Sánchez M., Dávalos-Cobián C., Ornelas-Cázares S. [et al.]. Platelet count/spleen diameter ratio to predict esophageal varices in Mexican patients with hepatic cirrhosis. World J. Gastroenterol. 2014;20(8):2079-2084. https://doi.org/10.3748/wjg.v20.i8.2079
8. Giannini E. G., Zaman A., Kreil A., Floreani A., Dulbecco P. [et al.]. Platelet count/spleen diameter ratio for the noninvasive diagnosis of esophageal varices: results of a multicenter, prospective, validation study. Am. J. Gastroenterol. 2006;101(11):2511-2519. https://doi.org/10.1111/j.1572-0241.2006.00874.x
9. Lee H. A., Kim S. U., Seo Y. S., Lee Y. S., Kang S. H. [et al.]. Prediction of the varices needing treatment with non-invasive tests in patients with compensated advanced chronic liver disease. Liver Int. 2019;39(6):1071-1079. https://doi.org/10.1111/liv.14036
10. Sharashova Е. Е., Kholmatova К. К., Gorbatova М. А., Grjibovski А. М. Cox regression in health sciences using SPSS software. Nauka i Zdravookhranenie. – Science & Healthcare. 2017;6:5-27. (In Russ.).
11. Hosmer Jr. D. W., Lemeshow S., May S. Applied survival analysis: regression modeling of time-to-event data, second edition. New York: John Wiley & Sons, 2008. https://doi.org/10.1002/9780470258019
12. Trebicka J., Fernandez J., Papp M., Caraceni P., Laleman W. [et al.]. Predict study group of the EASL-CLIF Consortium. The predict study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology. J. Hepatol. 2020;73(4):842-854. https://doi.org/10.1016/j.jhep.2020.06.013
13. Gustot T., Stadlbauer V., Laleman W., Alessandria C., Thursz M. Transition to decompensation and acute-on-chronic liver failure: Role of predisposing factors and precipitating events. J. Hepatol. 2021;75(1):36-48. https://doi.org/10.1016/j.jhep.2020.12.005
14. Shukla R., Kramer J., Cao Y., Ying J., Tansel A. [et al.]. Risk and predictors of variceal bleeding in cirrhosis patients receiving primary prophylaxis with non-selective beta-blockers. Am. J. Gastroenterol. 2016;111(12):1778-1787. https://doi.org/10.1038/ajg.2016.440
15. Haq I., Tripathi D. Recent advances in the management of variceal bleeding. Gastroenterol. Rep. (Oxf). 2017;5(2):113-126. https://doi.org/10.1093/gastro/gox007
16. Du Y. C., Jiang D., Wu J. Predicting the severity of esophageal varices in patients with hepatic cirrhosis using non-Invasive markers. Risk Manag. Healthc. Policy. 2023;16:1555-1566. https://doi.org/10.2147/rmhp.s418892
17. Gebregziabiher H. T., Hailu W., Abay Z., Bizuneh S., Meshesha M. D. Accuracy of non-invasive diagnosis of esophageal varices among cirrhotic patients in a low-in-come setting. Heliyon. 2023;9(12):e23229. https://doi.org/10.1016/j.heliyon.2023.e23229
18. Zhang X., Song J., Zhang Y., Wen B., Dai L. [et al.]. Baveno VII algorithm outperformed other models in ruling out high-risk varices in individuals with HBV-related cirrhosis. J. Hepatol. 2023;78(3):574-583. https://doi.org/10.1016/j.jhep.2022.10.030
19. Xuan J., Shi Z. Shear wave elastography measured liver stiffness-spleen size-to-platelet ratio for the prediction of high-risk oesophageal varices: a meta-analysis. Eur. J. Gastroenterol. Hepatol. 2023;35(7):753-760. https://doi.org/10.1097/meg.0000000000002542
20. Liang H., Si H., Liu M., Yuan L., Ma R. [et al.]. Non-invasive prediction models for esophageal varices and red signs in patients with hepatitis B virus-related liver cirrhosis. Front. Mol. Biosci. 2022;9:930762. https://doi.org/10.3389/fmolb.2022.930762
21. Yoshida H., Shimizu T., Yoshioka M., Matsushita A., Kawano Y. [et al.]. The role of the spleen in portal hypertension. J. Nippon. Med. Sch. 2023;90(1):20-25. https://doi.org/10.1272/jnms.jnms.2023_90-104
22. Lee H. A., Kim S. U., Lim J., Kim M. Y., Kim S. G. [et al.]. Age, sex, and body mass index should be considered when assessing spleen length in patients with compensated advanced chronic liver disease. Gut Liver. 2023;17(2):299-307. https://doi.org/10.5009/gnl220032
23. Lin L. Y., Zeng D. W., Liu Y. R., Zhu Y. Y., Huang L. L. Diagnostic value of liver stiffness measurement combined with risk scores for esophagogastric variceal bleeding in patients with hepatitis B cirrhosis. Eur. J. Radiol. 2024;173:111385. https://doi.org/10.1016/j.ejrad.2024.111385
24. Elbasiony M., Abed H., Alaskalany H. M., Saleh A. Transient elastography and platelet count as noninvasive predictors of gastroesophageal varices in patients with compensated hepatitis C virus-related liver cirrhosis. Med. J. Armed. Forces India. 2023;79(6):710-717. https://doi.org/10.1016/j.mjafi.2021.08.008
25. El Sheref S. E. D. M., Afify S., Berengy M. S. Clinical characteristics and predictors of esophagogastric variceal bleeding among patients with HCV-induced liver cirrhosis: An observational comparative study. PLoS One. 2022;17(10):e0275373. https://doi.org/10.1371/journal.pone.0275373
26. Giuffrè M., Campigotto M., Colombo A., Visintin A., Budel M. [et al.]. The role of elastography in alcoholic liver disease: fibrosis staging and confounding factors, a review of the current literature. Minerva Gastroenterol. (Torino). 2021;67(2):112-121. https://doi.org/10.23736/s2724-5985.20.02777-4
27. Liu L., Nie Y., Liu Q., Zhu X. A Practical model for predicting esophageal variceal rebleeding in patients with hepatitis B-associated cirrhosis. Int. J. Clin. Pract. 2023;2023:9701841. https://doi.org/10.1155/2023/9701841
28. Kim B. K., Kim D. Y., Han K. H., Park J. Y., Kim J. K. [et al.]. Risk assessment of esophageal variceal bleeding in B-viral liver cirrhosis by a liver stiffness measurement-based model. Am. J. Gastroenterol. 2011;106(9):1654-1662,1730. https://doi.org/10.1038/ajg.2011.160
Keywords: liver transplantation, first episode of varix bleeding, non-invasive predictors