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Chinese Journal of Transplantation(Electronic Edition) ›› 2024, Vol. 18 ›› Issue (04): 222-229. doi: 10.3877/cma.j.issn.1674-3903.2024.04.004

• Original Article • Previous Articles     Next Articles

The establishment of predictive model and influencing factors of major adverse cardiovascular events during perioperative period of adult liver transplantation

Shuxian Wang1, Lianghao Zhang1, Lijun Wang1, Hui Zhang1, Yuan Guo1, Chuanshen Xu1, Zhiqiang Li1, Jinzhen Cai1, Man Xie1, We Rao1,()   

  1. 1.Organ Transplantation Center, Department of Hepatology, Department of Gastroenterology, Affiliated Hospital of Qingdao University, Qingdao 266003,China
  • Received:2023-10-10 Online:2024-08-08 Published:2024-11-01
  • Contact: We Rao

Abstract:

Objective

To investigate the influencing factors and prognosis analysis of major adverse cardiovascular events (MACE) during perioperative period of adult liver transplantation, and to create a nomogram predict risk model.

Methods

The clinical data of 545 adult recipients who underwent liver transplantation in the Affiliated Hospital of Qingdao University from January 2016 to December 2020 were retrospectively analyzed. According to the occurrence of MACE during the perioperative period, the patients were divided into MACE group (57 cases) and non-MACE group(488 cases). The perioperative data of the two groups were compared. Survival curves were plotted using the Kaplan-Meier method and compared using the log-rank test. According to the independent risk factors shown by logistics regression analysis, nomograms were constructed, and receiver operating characteristic (ROC) curves were used to determine the predictive value of nomograms.

Results

Compared with the non-MACE group, recipients in MACE group were older, had higher preoperative model for end-stage liver disease (MELD) scores, had a higher proportion of recipients with previous history of hypertension, heart disease and hepatic encephalopathy, more intraoperative blood loss and red blood cell transfusion, and had longer intraoperative anhepatic phase time, postoperative ICU length of stay and mechanical ventilation time, and the differences were statistically significant (t= -2. 544 and-2.924, χ2 = 9. 815, 6. 506 and 7. 808, Z=-2. 140,-2. 464,-2. 506,-4. 847 and -4. 243,P<0.05). Within 5 min after total occlusion of the portal vein and inferior vena cava, within 5 min after total opening, and before exit from the operating room at the end of surgery, lactate levels of the MACE group were increased compared with the non-MACE group, and the differences were statistically significant (t=-2.291, -3.322 and -2.392, all P<0.05). Logistic regression analysis showed that age (OR=1.041, 95%CI 1.008-1.350, P<0.05), preoperative MELD score (OR=1.057, 95%CI 1.022-1.453, P<0.05) and history of hypertension (OR=2.149, 95%CI 1.061-4.804, P<0.05)as well as lactate level within 5 min after total opening of the portal vein and inferior vena cava (OR=1.334, 95%CI 1.088-1.636, P<0.05) were independent risk factors for MACE during perioperative period of adult liver transplantation. The nomogram constructed according to the results of multivariate regression analysis predicted the perioperative occurrence of MACE in adult liver transplant recipients with an area under curve of 0.736 and a concordance index of 0.8, and internal validation showed a good fit between the predicted incidence and the actual incidence. The overall survival rate at 1 year after surgery was lower in the MACE group than in the non-MACE group (84.2% and 96.1%, P<0.05).

Conclusions

Age, preoperative MELD score, history of hypertension and lactate level within 5 min after total opening of the portal vein and inferior vena cava were independent risk factors for perioperative MACE in adult liver transplantation. The risk prediction model has a good clinical value in predicting the occurrence of perioperative MACE in adult liver transplantation.

Key words: Liver transplantation, Cardiovascular events, Perioperative period, Model for end-stage liver disease, Hyperlactic acidemia, Nomogram

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