emcardioНеотложная кардиология и кардиоваскулярные рискиEmergency Cardiology and Cardiovascular Risks journal2616-633XБелорусский государственный медицинский университетemcardio-303Research ArticleОригинальные научные публикацииOriginal Scientific ResearchПрогностическая оценка посттрансплантационной выживаемости реципиентов трансплантатов печениPrognostic assessment of posttransplantation survival of liver transpant recipientsГригоренкоЕ. А.GrigorenkoE. A.РуммоО. О.RummoO. O.МитьковскаяН. П.MitkovskayaN. P.Белорусский государственный медицинский университетBelarusian State Medical UniversityРеспубликанский научно-практический центр трансплантации органов и тканей учреждения здравоохранения «9-я городская клиническая больница»Republican Scientific and Practical Centre of Organ and Tissue transplantation of the Health Institution 9th City Clinical Hospital of Minsk201715112025117277Copyright © Григоренко Е.А., Руммо О.О., Митьковская Н.П., 20252025Григоренко Е.А., Руммо О.О., Митьковская Н.П.Grigorenko E.A., Rummo O.O., Mitkovskaya N.P.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://emcardio.bsmu.by/jour/article/view/303

Для повышения прогностической точности шкалы MELD при оценке посттрансплантационной смертности показано сочетание ее применения с оценкой таких факторов риска, как наличие пароксизмов желудочковой тахикардии, диастолической дисфункции правого желудочка. Для разработанной модифицированной модели MELD, учитывающей данные факторы риска, коэффициент конкордантности составил 0,82, что свидетельствует о хорошей прогностической точности разработанной модели.

For increasing the prognostic accuracy of the MELD scale in the assess¬ment of posttransplantation mortality it is essential to combine its application with the assessment of such risk factors as the presence of paroxysms of ventricular tachycardia and diastolic dysfunction of the right ventricle. For the designed modified MELD model, considering the given risk factors, the coefficient of concordance was 0,82, which confirms good prognostic accuracy of the designed model.

трансплантация печенифакторы риска внезапной смертимодифицированная модель MELDпосттрансплантационная выживаемостьliver transplantationrisk factors for sudden deathmodified MELD modelposttransplantation survivalReferencesCholongitas E., Marelli L., Shusang V., Senzolo M., Rolles K., Patch D., Burroughs A. K. A systematic review of the performance of the model for end-stage liver disease (MELD) in the setting of liver transplantation. Liver Transpl, 2006, vol. 12, no. 7, pp. 1049-1061.Cholongitas E., Marelli L., Shusang V., Senzolo M., Rolles K., Patch D., Burroughs A. K. A systematic review of the performance of the model for end-stage liver disease (MELD) in the setting of liver transplantation. Liver Transpl, 2006, vol. 12, no. 7, pp. 1049-1061.Ghobrial R. M., Gornbein J., Steadman R., Danino N., Markmann J. F., Holt C., Anselmo D., Amersi F., Chen P., Farmer D. G., Han S., Derazo F., Saab S., Goldstein L. I., McDiarmid S.V., Busuttil R. W. Pretransplant model to predict posttransplant survival in liver transplant patients. Ann Surg, 2012, vol. 236, no. 3, pp. 315-323.Ghobrial R. M., Gornbein J., Steadman R., Danino N., Markmann J. F., Holt C., Anselmo D., Amersi F., Chen P., Farmer D. G., Han S., Derazo F., Saab S., Goldstein L. I., McDiarmid S.V., Busuttil R. W. Pretransplant model to predict posttransplant survival in liver transplant patients. Ann Surg, 2012, vol. 236, no. 3, pp. 315-323.Huo T. I., Lin H. C., Lee S. D. Model for end-stage liver disease and organ allocation in liver transplantation: where are we and where should we go? J Chin Med Assoc, 2006, vol. 69, no. 5, pp. 193-198.Huo T. I., Lin H. C., Lee S. D. Model for end-stage liver disease and organ allocation in liver transplantation: where are we and where should we go? J Chin Med Assoc, 2006, vol. 69, no. 5, pp. 193-198.Huang H. C., Lee F. Y., Huo T. I. Major adverse events, pretransplant assessment and outcome prediction. J Gastroenterol Hepatol, 2009, vol. 24, no. 11, pp. 1716-1724.Huang H. C., Lee F. Y., Huo T. I. Major adverse events, pretransplant assessment and outcome prediction. J Gastroenterol Hepatol, 2009, vol. 24, no. 11, pp. 1716-1724.Choi P.C., Kim H. J., Choi W. H. Park D. I., Park J. H., Cho Y. K., Sohn C. I., Jeon W. K., Kim B. I. Model for end-stage liver disease, model for end-stage liver disease-sodium and Child-Turcotte-Pugh scores over time for the prediction of complications of liver cirrhosis. Liver Int, 2009, vol. 29, no. 2, pp. 221-226.Choi P.C., Kim H. J., Choi W. H. Park D. I., Park J. H., Cho Y. K., Sohn C. I., Jeon W. K., Kim B. I. Model for end-stage liver disease, model for end-stage liver disease-sodium and Child-Turcotte-Pugh scores over time for the prediction of complications of liver cirrhosis. Liver Int, 2009, vol. 29, no. 2, pp. 221-226.Huo T. I., Wu J. C., Lin H. C. Lee F. Y., Hou M. C., Lee P. C., Chang F. Y., Lee S. D. Evaluation of the increase in Model for end-stage liver disease (DeltaMELD) score over time as a prognostic predictor in patients with advanced cirrhosis: risk factor analysis and comparison with initial MELD and Child-Turcotte-Pugh score. J Hepatol, 2015, vol. 42, no. 6, pp. 826-832.Huo T. I., Wu J. C., Lin H. C. Lee F. Y., Hou M. C., Lee P. C., Chang F. Y., Lee S. D. Evaluation of the increase in Model for end-stage liver disease (DeltaMELD) score over time as a prognostic predictor in patients with advanced cirrhosis: risk factor analysis and comparison with initial MELD and Child-Turcotte-Pugh score. J Hepatol, 2015, vol. 42, no. 6, pp. 826-832.Lee S. H., Park S. H., Kim G. W., Lee W. J., Hong W. K., Ryu M. S., Park K. T., Lee M. Y., Lee C. W., Kim J. H., Kim Y.M., Kim S. J., Baik G. H., Kim J. B., Kim D. J. Comparison of the Model for End-stage Liver Disease and hepatic venous pressure gradient for predicting survival in patients with decompensated Liver cirrhosis. Korean J Hepatol, 2009, vol. 15, no. 3, pp. 350-356.Lee S. H., Park S. H., Kim G. W., Lee W. J., Hong W. K., Ryu M. S., Park K. T., Lee M. Y., Lee C. W., Kim J. H., Kim Y.M., Kim S. J., Baik G. H., Kim J. B., Kim D. J. Comparison of the Model for End-stage Liver Disease and hepatic venous pressure gradient for predicting survival in patients with decompensated Liver cirrhosis. Korean J Hepatol, 2009, vol. 15, no. 3, pp. 350-356.Myers R. P., Shaheen A. A., Faris P. Revision of MELD to include serum albumin improves prediction of mortality on the liver transplant waiting list. PLoSONE, 2013, vol. 8, no. 1, pp. 519-526.Myers R. P., Shaheen A. A., Faris P. Revision of MELD to include serum albumin improves prediction of mortality on the liver transplant waiting list. PLoSONE, 2013, vol. 8, no. 1, pp. 519-526.Halldorson J. B., Bakthavatsalam R., Fix O., Reyes J. D., Perkins J. D. D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient matching. Am J Transplant, 2009, vol. 9, no. 2, pp. 318-326.Halldorson J. B., Bakthavatsalam R., Fix O., Reyes J. D., Perkins J. D. D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient matching. Am J Transplant, 2009, vol. 9, no. 2, pp. 318-326.Cholongitas E., Senzolo M., Patch D., Kwong K., Nikolopoulou V., Leandro G., Shaw S., Burroughs A. K. Risk factors, sequential organ failure assessment and model for end- stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit. AllmentPharmacol Ther, 2009, vol. 23, no. 7, pp. 883-893.Cholongitas E., Senzolo M., Patch D., Kwong K., Nikolopoulou V., Leandro G., Shaw S., Burroughs A. K. Risk factors, sequential organ failure assessment and model for end- stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit. AllmentPharmacol Ther, 2009, vol. 23, no. 7, pp. 883-893.Pyko A., Grigorenko E., Statkevich T., Pyko A., Mukalova O., Mitkovskaya N. Vnezapnaya serdechnaya smert': epidemiologicheskie aspekty, vozmozhnosti profilakticheskich technologiy [Sudden cardiac death: epidemiological aspects, the possibilities of preventive technologies]. Kardiologiya v Belarusi, 2016, vol. 4, pp. 534-553.Pyko A., Grigorenko E., Statkevich T., Pyko A., Mukalova O., Mitkovskaya N. Vnezapnaya serdechnaya smert': epidemiologicheskie aspekty, vozmozhnosti profilakticheskich technologiy [Sudden cardiac death: epidemiological aspects, the possibilities of preventive technologies]. Kardiologiya v Belarusi, 2016, vol. 4, pp. 534-553.Mitkovskaya N., Rummo O., Grigorenko E. Stratifikaziya riska vnezapnoy serdechnoyMitkovskaya N., Rummo O., Grigorenko E. Stratifikaziya riska vnezapnoy serdechnoysmerti u rezipientov transplantatov pecheni i pochek [Stratification of the risk of sudden cardiac death in recipients of liver and kidney transplants]. Kardiologiya v i, 2014,smerti u rezipientov transplantatov pecheni i pochek [Stratification of the risk of sudden cardiac death in recipients of liver and kidney transplants]. Kardiologiya v i, 2014,vol. 3, pp. 27-33.vol. 3, pp. 27-33.

The authors declare that there are no conflicts of interest present.